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\centerline{\bf  Equilibrium Measures for Coupled Map Lattices:} 
\centerline{\bf Existence, Uniqueness and Finite-Dimensional Approximations}

\bigskip
\centerline{Miaohua Jiang }
\centerline{\sl Center for Dynamical Systems and Nonlinear Studies}
\centerline{\sl Georgia Institute of Technology, Atlanta, GA 30332}
\centerline{ Yakov B. Pesin}
\centerline{ \sl Department of Mathematics}
\centerline{\sl The Pennsylvania State University}
\centerline{\sl University Park, PA 16802}
\bigskip
\item{\qquad} {\bf Abstract}
We extend thermodynamic formalism to coupled map lattices of
hyperbolic type and prove existence, uniqueness, and  mixing properties
of equilibrium measures for a class of H\"older continuous 
potential functions.  We also describe finite-dimensional
approximations of equilibrium measures. We apply our results to
establish existence and uniqueness of SRB-type measures.
\bigskip

\chead{Introduction}{}

Coupled map lattices are infinite-dimensional dynamical systems 
introduced by K. Kaneko [Ka] in 1983 as simple models with essential 
features of spatio-temporal chaos. These systems usually 
consist of identical local finite-dimensional subsystems at lattice points 
each interacting with  its neighboring subsystems. Such systems
are proven to be useful in studying qualitative properties of spatially 
extended dynamical systems. They can rather easily 
be monitored by a computer, and many remarkable results about coupled map lattices were obtained by researchers working in different areas of physics, biology, mathematics, and engineering. 
\medskip                 
Bunimovich and Sinai initiated rigorous mathematical study of coupled
map lattices in [BuSi]. They constructed special SRB-type measures for 
weakly coupled expanding circle maps (under some additional assumptions that 
the interaction is of finite range and preserves the unique fixed point of 
the map). SRB-type measures are invariant under both space and time
translations and have strong ergodic properties, for example, mixing.
>From the physical point of view this is interpreted as evidence of
spatio-temporal chaos. In [BK1]--[BK3], Bricmont and Kupiainen extended 
results of Bunimovich and Sinai to general expanding circle maps.
In [KK], Keller and K\"unzle studied the case when the local subsystems are
piecewise smooth interval maps. A detailed survey on this topic can be found 
in [Bu].
\medskip
The first attempt to consider coupled map lattices with multidimensional 
local subsystems of hyperbolic type was made by Pesin and Sinai in [PS].  
Assuming that the local subsystem possesses a hyperbolic attractor they
constructed conditional distributions for the SRB-type measure on unstable 
local manifolds. In [J1], [J2], Jiang considered the case when a local 
subsystem possesses a hyperbolic set and obtained some partial
results on the existence and uniqueness of Gibbs distributions. In this paper 
we extend these results and establish the existence and uniqueness of Gibbs distributions for arbitrary chain of weakly interacting hyperbolic sets. 
\medskip
Our main tool of study is the thermodynamic formalism applied to the lattice spin 
system of statistical mechanics associated with a given coupled map lattice. 
We point out that the lattice spin systems corresponding to coupled map 
lattices are of a  special type and have not been studied in the framework of the ``classical'' statistical mechanics till recently. The study of Gibbs distributions for these special lattice spin systems required new and advanced technique which was developed in [JM] and [BK2], [BK3]. 
\medskip
In [JM], the authors
considered two-dimensional lattice spin systems. Using   polymer expansions 
of partition functions they found an explicit formula for Gibbs state 
in terms of potentials and thus, proved existence and uniqueness of Gibbs states for potentials obtained from the corresponding coupled map lattices. They also established continuity of Gibbs states over such potentials. In [BK2], [BK3], the authors considered general multidimensional lattice spin systems. Using expansions of the correlation
functions they also established existence and uniqueness of the Gibbs states as well as the mixing property for the same type of  potentials. The reader will find a detailed discussion of lattice spin systems 
and their relation to  coupled map lattices in the paper. Appendix contains a   description of polymer expansions. This makes the paper more self-contained and can be viewed as an introduction to a highly specialized 
area of statistical physics.
\medskip
The paper is divided into five sections. In the first three sections we generalize results of [J1] on the topological structure of coupled map 
lattices of hyperbolic type. Our main result is that these systems are
structurally stable. When the coupling is exponentially weak the conjugacy 
map allows one to use Markov partitions for the uncoupled map lattice to 
build up Markov partitions for the coupled map lattice. This leads to a 
symbolic representation of the lattice system into a lattice spin system of 
statistical mechanics. In [JM] the authors established uniqueness of Gibbs
states and exponential decay of correlations for these lattice spin systems. 
We use their results as well as results in [BK3] to establish uniqueness and 
mixing property of equilibrium measures. 
\medskip
In Section 4 we construct ``natural'' finite-dimensional approximations of 
equilibrium measures. There are two different types of approximations: one
results from considering finite volumes in the lattice and the other one ---
from considering finite volumes in the lattice spin systems.
\medskip
In Section 5 we apply our results to establish the existence, uniqueness, 
and mixing property of SRB-type measures for chains of weakly interacting
hyperbolic attractors. We show that these measures are Gibbs states for 
H\"older continuous functions and we obtain them by describing
their finite-dimensional approximations in terms of lattice spin systems.
 

\chead{I. Coupled Map Lattices}{}

\shead{1.1. Definition of Coupled Map Lattices} 
\medskip
Let $M$ be a smooth compact 
Riemannian manifold and $f$ a $C^r$-map of $M$, $r \ge 1$.
Let also $\z^{d},\, d\geq 1$ be the $d$-dimensional integer lattice. Set
$\MM=\otimes_{i\in\z^d} M_i$, where $M_i$ are copies of $M$.
The space $\MM$ admits the structure of an infinite-dimensional Banach manifold
with the Finsler metric induced by the Riemannian metric on $M$, i.e.,
$$
\|\bar v\|=\sup_{i\in\zd}\|v_i\|. \eqno{(1.1)}
$$    
The distance in $\MM$ induced by the Finsler metric is given as follows
$$
\rho(\bar x, \bar y)= \sup_{i \in \zd} d(x_i,y_i),
\eqno{(1.2)}
$$
where $\bar x=(x_i)$ and $\bar y=(y_i)$ are two points in $\MM$ and 
$d$ is the Riemannian distance on $M$.

We define the {\it direct product} map on
 $\MM$ by $F=\otimes_{i \in \zd} f_i$, where $f_i$ are copies of $f$. 

Consider a map $G$ on $\MM$ which is $C^r$-close to the identity map $id$. Set
$\Phi=F\circ G$. The map $G$ is said to be an {\it interaction} between 
points ({\it space sites}) of the lattice $\zd$ and the map $\Phi$ is said 
to be a {\it perturbation} of $F$. Iterates of the map $\Phi$ generate
 a $\z$-action on $\MM$ called {\it time translations}.

We also consider the group action of the lattice $\zd$ on $\MM$ by 
{\it spatial translations} $S^k$. Namely, for any $k\in\zd$ and 
any $\bar x = (x_i)\in\MM$, we set $\big(S^k(\bar x)\big)_i=x_{i+k}$. 

The pair of actions $(\Phi, S)$ on $\MM$ is called a {\it coupled map lattice}
generated by the {\it local map} $f$ and the interaction $G$. 
If $G$ commutes with the spatial translations $S^k$, i.e., $S^k\circ G
=G\circ S^k$, we call $G$ {\it spatial translation invariant}. 
In this case the pair $(\Phi, S)$ generates a $\z^{d+1}$-action on
$\MM$. If $G=id$, the lattice is called {\it uncoupled}.  

One can also define the perturbation in the form $\Phi = G\circ F$. 
If $F$ is invertible((and in what follows we will always assume this)
the study of perturbations of such a form is equivalent 
to the study of perturbations in the previous form since
$ G\circ F=F\circ (F^{-1}\circ G\circ F)$ with $F^{-1}\circ G\circ F$
being close to the identity.
\medskip
\shead{1.2. Coupled Map Lattices of Hyperbolic Type} 
\medskip
We consider a special type of coupled map lattice assuming that the local 
map is hyperbolic. More precisely, let $U\subset M$ be an open 
set, $f: U\to M$ a $C^1$-diffeomorphism, and 
$\Lambda\subset U$ a closed invariant {\it hyperbolic} set for $f$. The latter 
means that the tangent bundle $T_{\Lambda}M$ over $\Lambda$ is split
 into two subbundles: \ $T_{\Lambda}M=E^s \bigoplus E^u$~, where $E^s$ and
 $E^u$ are both invariant under the differential  $Df$, and for 
some $C>0$ and $0<\lambda < 1$,
$$\| Df^nv\|\leq C \lambda^n \|v\|\hbox{\rm \ for}
 \ n\geq 0,\quad v\in E^s; \eqno{(1.3)}$$
$$\| Df^{-n}w\|\leq C\lambda^n \|w\|\hbox{\rm \ for} \ n\geq 0,\quad w\in E^u.
$$
The hyperbolic set $\Lambda$ is called {\it locally maximal} if there 
exists an open set $U\supset\Lambda$ such that 
$\Lambda =\bigcap_{n\in\z}f^n(\bar U)$, where $\bar U$ is the closure of $U$.

For any point $x$ in a hyperbolic set $\Lambda$ one can construct local stable
and unstable manifolds defined by
$$ 
V^s(x)=\{y\in M : d(x,y)\le\epsilon, \, d(f^n(x),f^n(y))\to 0, \,
n\to +\infty\};
$$
$$ 
V^u(x)=\{y\in M : d(x, y)\le\epsilon, \, d(f^n(x),f^n(y))\to 0, \,n\to -\infty\}.
\eqno{(1.4)}$$ 
It is known that these submanifolds are as smooth as the map $f$ is. 

The definition of hyperbolicity can easily be extended to diffeomorphisms of
Banach manifolds. Suppose that $H$ is a $C^1$-diffeomorphism of an open set 
$U$ of a Banach manifold $\NN$ (endowed with a Finsler metric) and a 
set $\Delta\subset U$ is invariant under 
$H$ (note that $\Delta$ may not be compact). We say
that $\Delta$ is {\it hyperbolic} if the tangent bundle $T_\Delta\NN$ over
$\Delta$ admits a splitting $T_\Delta\NN=E^s\oplus E^u$ with the following 
properties: 

1) $E^s$ and $E^u$ are invariant under the differential $DH$;

2) for any continuous sections $v$ valued in $E^s$ and $w$ valued in 
$E^u$ we have 
$$
\|DH^nv\|\leq C\lambda^n\|v\|\quad\hbox{\rm and}\quad \|DH^{-n}w\| 
\leq C\lambda^n\|w\|,
$$ 
for some constants $C>0$ and $0<\lambda<1$ independent of $v$ and $w$;

3) there exists $b>0$ such that for any $z$ the angle between $E^s(z)$ 
and $E^u(z)$ is bounded away from zero, i.e.,
$$
\inf\{\|\xi -\eta\| : \xi\in E^s(z),\, \eta\in E^u(z)\|, \, 
\|\xi\|=\|\eta\|=1\}\ge b.
\eqno{(1.5)}$$
Note that in the finite-dimensional case the last
 condition holds true automatically.

It is easy to see that the map $F$ is hyperbolic in the above sense,
 i.e., it possesses an infinite-dimensional
hyperbolic set
$$
\Delta_F=\otimes_{i\in\zd}\Lambda_i,
$$ 
where $\Lambda_i$ is a copy of  $\Lambda$. Moreover, for each point 
$\bar x =(x_i)\in\Delta_F$ the tangent space $T_{\bar x}\MM$ 
admits the splitting $T_{\bar x}\MM =E^s(\bar x)\oplus E^u(\bar x)$, where
$$
E^s(\bar x)=\otimes_{i\in\zd}E^s(x_i), \quad 
E^u(\bar x)=\otimes_{i\in\zd}E^u(x_i).
\eqno{(1.6)}
$$ 
Furthermore, for each point $\bar x=(x_i)\in\Delta_F$ 
the local stable and unstable manifolds passing through $\bar x$ are
$$
V_F^s(\bar x)=\otimes_{i\in\zd}V_i^s(x_i), \quad
V_F^u(\bar x)=\otimes_{i\in\zd}V_i^u(x_i),
\eqno{(1.7)}
$$ 
where $V_i^s(x_i)$ and $V_i^u(x_i)$ are the local stable and unstable manifolds
at $x_i$ respectively. If the hyperbolic 
set $\Lambda$ is locally maximal, so is $\Delta_F$.  
\medskip
\shead{1.3. Short Range Maps}  
\medskip
The goal of this paper is to investigate metric
 properties of coupled map lattices of hyperbolic type. In the finite-dimensional case
one uses  {\it thermodynamic formalism} (see [Bo], [Ru]) to construct
invariant measures and then studies ergodicity of hyperbolic maps with
respect to these measures. The extension of this formalism 
to the infinite-dimensional case faces some obstacles. Among them the most 
crucial one is 
non-compactness of the hyperbolic set $\Delta_{F}$. One of the ways to 
overcome this obstacle is to introduce a new metric on $\MM$ with 
respect to which the space becomes compact. This metric is
 known as a {\it metric with weights} and
 is defined as follows: given $0<q<1$ and $\bar x,\bar y\in\MM$, we set   
$$
\rho_q(\bar x,\bar y)=\sup_{i\in\zd}q^{|i|}d(x_i,y_i),
\eqno{(1.8)}
$$ 
where $|i|=|i_1|+|i_2|+\cdots +|i_d|,\,i=(i_1,i_2,\cdots, i_d)\in\zd$. 

For different $0<q<1$ the metrics $\rho_q$ induce the same compact (Tychonov) 
topology in $\MM$.

Although working with $\rho_q$-metrics gives us
 some advantages in studying invariant 
measures for the maps $F$ and $\Phi$ it
 also brings some new problems. For example, 
the set $\MM$ is no longer a differential manifold and 
the maps $F$ and $\Phi$, while being continuous, need
not be differentiable. In particular, the set $\Delta_F$ being compact
is no longer hyperbolic in the above sense but in some weak one. 
More precisely, this set is {\it topologically hyperbolic}, i.e.,
for every point in $\Delta_F$ the local stable and unstable manifolds 
(1.7) are, in general, only continuous (not smooth).

We will impose a restriction to the class of perturbations we consider 
to be able to keep track of hyperbolic behavior of trajectories for the 
perturbation map $\Phi$. More precisely, we consider the special class of perturbations called short range maps. The concept of short range maps 
was introduced by Bunimovich and Sinai in [BuSi] and was further developed 
by Pesin and Sinai in [PS] (see also [KK]). We follow their approach. 

Let $\cal Y$ be a subset of $\MM$ and $G: {\cal Y}\to\MM$ a map. We say that 
$G$ is {\it short ranged} if $G$ is of the form $G=(G_i)_{i\in\zd}$, where 
$G_i : {\cal Y}\to M_i$ satisfy the following condition: 
for any fixed $k\in\zd$ and any points $\bar x =(x_j), \bar y=(y_j)\in\cal Y$ 
with $x_j=y_j$ for all $j\in\z^d, j\not=k$ we have
$$
d(G_i(\bar x), G_i(\bar y))\leq C\theta^{|i-k|}d(x_k,y_k),
\eqno{(1.9)}
$$
where $C$ and $\theta$ are constants and $C<0,\, 0<\theta<1$. We call $\theta$
the {\it decay constant} of $G$.
     
If $G$ is spatial translation invariant then $G$ can be shown to be 
short ranged with a decay constant $\theta$ if and only if
$$
d(G_0(\bar x), G_0(\bar y))\leq C\theta^{|k|}d(x_k,y_k)
\eqno{(1.10)}$$
for any $\bar x=(x_j),\bar y=(y_i)\in\cal Y$ with $x_j=y_j$ for all 
$j\in\z, \,j\not=k$.

We list some basic properties of short range maps. The proofs of
Propositions 1.1--1.3 can be found  in  [J1].
\medskip
{\bf Proposition 1.1.} {\sl Let $G$ be a $C^1$-diffeomorphism of an 
open set $\UU\subset\MM$ onto its image. Assume that $G$ is  short ranged with
a decay constant $\theta$. Then

(1) the differential of $G$ at every point $\bar x$, 
$D_{\bar x}G : T_{\bar x}\MM\to T_{\bar x}\MM$, is a short range linear map with 
the same decay constant $\theta$;

(2) the bundle map $DG$ is  short ranged  with the same decay constant 
$\theta$.

Moreover, if the map $G$ is continuous with respect to a $\rho_q$-metric then
either of statements (1) or (2) implies that $G$ is short ranged.}
\medskip 
{\bf  Proposition 1.2.} {\sl For any $0<\theta <1$ there exists $\eps >0$ 
such that if $G : \MM\to\MM$ is a short range $C^{1+\alpha}$-diffeomorphism 
with the decay constant $\theta$ and
 $\hbox{\rm dist}_{C^1}(G,id)<\eps$ then $G^{-1}$ is also a short range map.}

Short range maps are well adopted with the metric structure of $\MM$ generated
by $\rho_q$-metrics as the following result shows. 
\medskip
{\bf Proposition 1.3.} {\sl (1) Let $G: \MM\to\MM$ be a short
 range map with a decay constant $\theta$. 
Then $G$ is Lipschitz continuous as a map from $(\MM,\rho_{q})$ 
into itself for any $q >\theta$. 

(2) If $G$ is a Lipschitz continuous map from $(\MM,\rho_{q})$ to  
$(\MM,\rho_{q_1})$, with some $0<q_1<1$, then $G$ is short ranged with
the decay constant $\theta =q$. 

(3) For any $\eps >0$ and $0<\theta <q<1$ there exist $\delta>0$ such that if 
$G$ is a $C^{1+\alpha}$-spatial translation invariant short range map of 
$\MM$ with the decay constant $\theta$ and $\dist_{C^1}(G,id)\leq\delta$ then
$G$ is Lipschitz continuous in the $\rho_q$-metric with a Lipschitz constant 
$L\leq 1+\eps$.}
\medskip
\shead{ 1.4. Structural Stability}  
\medskip
We consider the problem of 
structural stability  of coupled map lattices of  hyperbolic type 
($\MM, F$). It is well-known that finite-dimensional hyperbolic
dynamical systems are structurally stable (see for example, [KH], [Sh]) and 
so are hyperbolic maps of Banach manifolds which  admit a partition of unity (see [Lang]). We stress that $\MM$ does not admit a partition of unity 
and this result can not be applied in the direct way. In order to study structural stability we will exploit the special structure of the 
system $(\MM,F)$ which is the direct product of countably many copies of the {\it same} finite-dimensional dynamical system $(M,f)$. This enables us 
to establish structural stability 
by modifying arguments from the proof in the finite-dimensional case.  
 
>From now on we always assume that the interaction $G$ is short ranged.
\medskip
{\bf Theorem 1.1.} {\sl
(1) For any $\eps >0$ there exists $0<\delta<\delta_0$ such that, if
$\dist_{C^1}(\Phi, F)\leq\delta$, then there is a unique homeomorphism 
$h: \Delta_F\to\MM$ satisfying $\Phi\circ h  = h\circ F|_{\Delta_F}$ with 
$\dist_{C^0}(h, id)\leq\eps$. In particular, the set $\Delta_\Phi=h(\Delta_F)$
is hyperbolic and locally maximal. 

(2) For any $0<\theta <1$ there exists $\delta >0$
such that if $G$ is a $C^{2}$-spatial translation invariant short range map  
with a decay constant $\theta$ and $\dist_{C^1}(G,id)\leq\delta$
then the conjugacy map $h$ is H\"older continuous with respect to the metric $\rho_q,\ 0<q<1$.  Moreover, \hb
$h = (h_i(\bar x))_{i \in \z^d}$ satisfies the following property:
$$   
d(h_0(\bar x) , h_0(\bar y)) \le C(\delta) d^\alpha(x_k, y_k)\eqno(1.11)
$$
for every $k\not=0$ and any $\bar x,\bar y\in\MM$ with 
$x_i=y_i, i\in\z^d, i\not=k$, where $0< \alpha < 1$ and $C(\delta) >0$ is a  constant. Furthermore, $C(\delta) \to 0$ as $\dist_{C^1}(G,id) \to 0$. }
\medskip
{\bf Proof.}  We describe main steps of the proof of Statement 1 recalling 
those arguments that will be used below (detailed arguments can be found in [J1]).  
Let $ U(\Delta_F)$ be an open neighborhood of $\Delta_F$ and 
$C^0(\Delta_F, U(\Delta_F))$  
the space of all continuous maps from $\Delta_F$ to $U(\Delta_F)$.
Consider the map 
$$\GG : C^0(\Delta_F, U(\Delta_F)) \to C^0(\Delta_F, \MM)
\eqno(1.12)$$
defined by $\beta\longmapsto\Phi\circ\beta\circ F^{-1}$. 
We wish to show that $\GG$ has a unique fixed point near the identity map.
Let $\Gamma^0(\Delta_F, T\MM)$ be the space of all continuous vector fields 
on $\Delta_F$.
We denote by $\cal I$ the identity embedding of $\Delta_F$ into $\MM$, 
by $B_{\gamma}({\cal I})$ the ball in $C^0(\Delta_F, U(\Delta_F))$ centered 
at $\cal I$ of radius $\gamma$, and by 
$\AA: B_{\gamma}({\cal I})\to\Gamma^0 (\Delta_F,T\MM)$ the map that is 
defined as follows:
$$\AA \beta(\bar y) = (\exp^{-1}_{y_i} \beta_i(\bar y) )_{i \in \integer}.
\eqno(1.13)$$
When $\gamma$ is small $\AA$ is a homeomorphism onto the ball $D_{\gamma}(0)$
in $\Gamma^0(\Delta_F, T\MM)$ centered at the zero section $0$ of radius $\gamma$. Set 
$$
\GG'=\AA\circ\GG\circ\AA^{-1}: \ D_{\gamma}(0)\to\Gamma^0(\Delta_F, T\MM).
\eqno(1.14)$$  
If a section $v\in D_{\gamma}(0) $ is a fixed point of $\GG'$ then
$\AA \circ\GG\circ\AA^{-1}v=v$ and hence the preimage of $v$, 
$\AA^{-1}v\in B_{\gamma}(\II)$, is a fixed point of $\GG$.

To show that $\GG'$ has a fixed point in $D_{\gamma}(0)$
we want to prove that the following equation has a unique solution $v$ in 
$D_{\gamma}(0)$: 
$$ 
-((D\GG')|_0 - Id)^{-1}(\GG'v-(D\GG')|_0v)=v.
\eqno(1.15)$$
Note that $\Gamma^0(\Delta_F, T\MM)$ is a Banach space and the map $\GG'$ is differentiable in $D_{\gamma}(0)$. In fact, $D\GG'$ is Lipschitz in $v$ since
the exponential map and its inverse are both smooth. Since the map $G$ is
short ranged, so are the maps $\GG'$ and $(D\GG')|_0$. Therefore, we 
can use weak$^*$ bases to represent $(D\GG')$ in a matrix form. 
This enables one to readily reproduce the arguments in [KH] (see Lemma 18.1.4)
and, exploiting hyperbolicity of $F$, to show that:
1) the operator $-((D\GG')|_0 - Id)^{-1}$ is bounded; 
2) the map $\KK:  D_{\gamma}(0)\to\Gamma^0 (\Delta_F,T\MM)$ defined by 
$$
\KK v = -( (D\GG')|_0 - Id)^{-1} (\GG'v-(D\GG')|_0 v)
\eqno(1.16)$$ 
is contracting in a smaller ball 
$D_{\gamma_0}(0)\subset D_{\gamma}(0)\subset \Gamma^0(\Delta_F, T\MM)$; 
and 
3) $\KK(D_{\gamma_0}(0))\subset D_{\gamma_0}(0)$.
Thus, $\KK$ has a unique fixed point in $D_{\gamma_0}(0)$.

We now proceed with Statement 2 of the theorem. In order to establish (1.11) 
we need to show that the section $v$ has such a property. Let $w$ be a section satisfying (1.11). Since the map $\KK$ is short ranged and sufficiently closed to an uncoupled contracting map  it is straightforward to verify that the section $\KK w$ also satisfies (1.11). 

Since the map $G$ is spatial translation invariant, so is $h$.  
The H\"older continuity of $h$ was proved in [J1] by showing
that stable and unstable manifolds for $\Phi$
vary H\"older continuously in the $\rho_q$-metric. In Section 5, 
we describe finite-dimensional approximations for $h$ which can be also used 
to establish an alternative proof of the H\"older continuity.
\qedd

The hyperbolicity of the map $\Phi|_{\Delta_\Phi}$ enables one to establish 
the following topological properties of this map:

1) the manifolds $V^s_{\Phi}(h(\bar x))=h(V_F^s(\bar x))$ and $V^u_{\Phi}(h(\bar x))=h(V_F^u(\bar x))$
are stable and unstable manifolds for $\Phi$. They are infinite-dimensional
submanifolds of $\MM$ and are transversal in the sense that the distance 
between their tangent bundles is bounded away from $0$.

2) stable and unstable manifolds for $\Phi$ constitute a local product 
structure of the set $\Delta_{\Phi}$. This means that
 there exists a constant $\delta$ such that for any
 $\bar x, \bar y\in\Delta_{\Phi}$ with 
$\rho(\bar x,\bar y)<\delta$, the intersection 
$V^s_{\Phi}(\bar x)\cap V^u_{\Phi}(\bar y)$ consists of a single
point which belongs to $\Delta_{\Phi}$.

Furthermore, in [J1] the author proved the following result. 
\medskip
{\bf Theorem 1.2.} {\sl If the map $f|_{\Lambda}$ is topologically mixing
then so is the map $\Phi|_{\Delta_{\Phi}}$.}
\medskip

Although the space $\MM$ equipped with the $\rho_q$-metric is
not a Banach manifold and the maps $F$ and $\Phi$
are not differentiable Theorem 1.2 allows one to keep track of the 
hyperbolic properties of these maps.
 More precisely, the following statements hold:

1) The local stable and unstable manifolds are Lipschitz continuous 
with respect to the $\rho_q$-metric. The map $\Phi$ is uniformly contracting 
on stable manifolds and the map $\Phi^{-1}$ is uniformly contracting on
unstable manifolds. The contracting coefficients
can be estimated from above by $(1+\eps)\lambda$ with $\eps$ arbitrary small.

2) The local stable and unstable manifolds are transversal in the
$\rho_q$-metric in the following sense: for any points 
$\bar x,\,\bar y\in V^s_{\Phi}(\bar x)$, and $\bar z\in V^u_{\Phi}(\bar x)$,
$$ 
\rho_q(\bar x,\bar y)+\rho_q(\bar x,\bar z)\le C\rho_q(\bar y,\bar z),
\eqno{(1.17)}
$$ 
where $C$ is a constant depending only on the size of local
stable and unstable manifolds and the number $q$.

The first property was originally proved in [PS] based upon the graph transform
technique. The second property was established in [J2]. 
These properties allows one to say that the map $\Phi$ is ``topologically hyperbolic''. 

\chead{II. Existence of Equilibrium Measures}{}

Let $\Omega$ be a compact metric space and $\tau$ a
$\integer^{d+1}$-action on $\Omega$ induced by $d+1$ commuting
homeomorphisms, $d\geq 0$. Let also $\UU=\{U_i\}$ 
and $\BB=\{B_i\}$ be covers of $\Omega$. 
For a finite set $X\subset\integer^{d+1}$ define
$$ 
\UU^X=\vee_{x\in X}\tau^{-x}\UU.
\eqno{(2.1)}$$
Denote by $|X|$ the cardinality of the set $X$. 

The action $\tau$ is said to be {\it expansive} if there exists $\epsilon >0$ 
such that for any $\xi,\eta\in\Omega$, 
$$ 
d(\tau^x\xi,\tau^x\eta)\leq\epsilon\hbox{\rm\ for\ all } 
x\in\integer^{d+1}\hbox{\rm\ implies\ }\xi=\eta.
$$
A Borel measure $\mu$ on $\Omega$ is said to be $\tau$-{\it invariant} if 
$\mu$ is invariant under all $d+1$ homeomorphisms. We denote the set of
all $\tau$-invariant measures on $\Omega$ by $I(\Omega)$.

Let $\mu \in I(\Omega)$ and $\UU =\{U_i\}$ be a finite 
Borel partition of $\Omega$. Define
$$
H(\mu,\UU)= -\sum_{i}\mu(U_i)\log \mu(U_i)\eqno{(2.2)}$$ 
and then set
$$
h_{\tau}(\mu,\UU)=\lim_{a_1,\dots, a_{d+1}\to\infty}
 {1\over|X(a)|}H(\mu,\UU^{X(a)})=\inf_{ a}
{1 \over |X(a)|}H(\mu,\UU^{X(a) }),
\eqno{(2.3)}
$$
where 
$X(a)=\{(i_1\dots i_{d+1})\in\z^{d+1}:\ a=(a_1\dots a_{d+1}),\, a_k>0, \,
|i_k|\leq a_k, \, k=1,\dots ,d+1\}$. 
The (measure-theoretic) {\it entropy} of $\mu$ is defined to be
$$
h_{\tau}(\mu)=\sup_{\UU}h_{\tau}(\mu,\UU)=\lim_{\diam\,\UU\to 0}h_{\tau}
(\mu,\UU),
\eqno{(2.4)}
$$
where $\diam\,\UU =\max_i(\diam U_i)$.

Let $\UU$ be a finite open cover of $\Omega$, $\varphi$ a continuous
function on $\Omega$, and $X$ a finite subset of $\integer^{d+1}$. Define
$$
Z_{X}(\varphi,\UU)=\min_{\{B_j\}}\big\lbrace\sum_j\exp\big\lbrack 
\inf_{\xi\in B_j}\sum_{x\in X}\varphi (\tau^x\xi)\big\rbrack\big\rbrace,
\eqno{(2.5)}$$ 
where the minimum is taken over all subcovers $\{B_j\}$ of $\UU^X$. Set
$$
P_{\tau}(\varphi,\UU)=\limsup_{a_1,\dots, a_{d+1}\to\infty}
{1\over |X(a)|}\log Z_{X(a)}(\varphi, \UU).
\eqno{(2.6)}$$
The quantity
$$ 
P_{\tau}(\varphi)=\lim_{\diam\,\UU\to 0}P_{\tau}(\varphi,\UU) =
\sup_{\UU}P_{\tau}(\varphi,\UU)
\eqno{(2.7)}$$ 
is called the {\it topological pressure} of $\varphi$ 
(one can show that the limit in (2.7) exists).

For any continuous function $\varphi$ and any $\nu \in I(\O)$ the {\it
variational principle} of statistical mechanics claims that 
$$
P_{\tau}(\varphi)=\sup_{\nu\in I(\O)}\bigl(h_{\tau}(\nu)+\int\varphi d\nu\bigr).
\eqno{(2.8)}$$
A measure $\mu\in I(\Omega)$ is called an {\it equilibrium measure} for 
$\varphi$ with respect to a $\integer^{d+1}$-action $\tau$ if 
$$
P_{\tau}(\varphi)=h_{\tau}(\mu)+\int\varphi d\mu.
\eqno{(2.9)}$$
It is shown in [Ru] that expansiveness of a $\z^{d+1}$-action implies
the upper semi-continuity of the metric entropy $h_{\tau}(\mu)$ with respect 
to $\mu$. Therefore, it also implies the existence of equilibrium measures 
for continuous functions. For uncoupled map lattices one can easily check 
that the action $(F, S)$ is expansive on $\Delta_F$ in the $\rho_q$-metric. 
The expansiveness of the action $(\Phi, S)$ on $\Delta_\Phi$ 
is a direct consequence of the structural stability (see Theorem 1.1). Thus, we
have the following result.
\medskip
{\bf Theorem 2.1.} {\sl Let $\tau=(\Phi, S)$ be a $\z^{d+1}-$action on 
$\Delta_{\Phi}$, where $\Phi= F\circ G $ and $G$ is 
short ranged spatial translation invariant 
and sufficiently $C^1$-close to identity. Then
for any $0<q<1$ and any continuous function $\varphi$ on  $(\Delta_{\Phi},
\rho_q)$ there exists
an equilibrium  measure $\mu_{\varphi}$ for $\varphi$ with respect to $\tau$.
The measure $\mu_{\varphi}$ does not depend on $q$.}
\medskip

While this theorem guarantees the existence of equilibrium measures for
continuous functions (with respect to $\rho_q$-metrics), 
it does not tell us anything about uniqueness and ergodic properties of these measures.
One can show that uniqueness of equilibrium measures 
implies their ergodicity (see [Ma\~n\'e])  
and usually some stronger ergodic properties (mixing, etc.).
 
Ruelle [Ru] obtained the following general 
result about uniqueness which is a direct consequence of the convexity of the topological pressure on the Banach space $C^0(\Delta_{\Phi})$ of all continuous functions in a $\rho_q$-metric.
\medskip
{\bf Theorem 2.2.} {\sl Assume that the map $f$ is 
topologically mixing. Then for a residual set 
of (continuous) functions in  $C^0(\Delta_{\Phi})$, 
the corresponding equilibrium measures are unique.}

\chead{III. Uniqueness of Equilibrium Measures}{}

Ruelle's theorem does not specify the class of functions
for which the uniqueness takes place. In this section we establish
uniqueness for H\"older continuous functions with sufficiently small H\"older constant. Our main tool is the thermodynamic formalism applied to 
symbolic models corresponding to the coupled map lattices.  
\medskip
\shead{3.1. Markov Partitions and Symbolic Representations} 
\medskip
One of the main manifestations of Structural Stability Theorem 1.1
is that the conjugacy map $h$ is H\"older continuous in a $\rho_q$-metric.
Therefore, one can see that the uniqueness of an equilibrium
measure $\mu_{\varphi}$ corresponding to a continuous function $\varphi$ for 
the perturbed map $\Phi$ is equivalent to the uniqueness of an equilibrium measure $\mu_{\varphi\circ h}$ for the unperturbed map $F$. Thus, we 
can reduce the study of uniqueness of equilibrium measures to uncoupled map
lattices.
   
We shall assume that $f$ is topologically
 mixing and the hyperbolic set $\Lambda$ is locally maximal. For any $\epsilon >0$ there exists a {\it Markov partition} of $\Lambda$ of ``size'' $\epsilon$. 
This means that $\Lambda$ is 
the union of sets $R_i, \, i=1,\dots ,m$ satisfying: 

1) each set $R_i$ is a ``rectangle'', i.e., 
for any $x,y\in R_i$ the intersection of the local stable and unstable manifolds $V^s(x)\cap V^u(y)$ 
is a single point which lies in $R_i$;

2) $\diam{R_i} <\epsilon$ and $R_i$ is the closure of its interior;  

3) $R_i\cap R_j =\partial R_i\cap\partial R_j$, where
$\partial R_i$ denotes the boundary of $R_i$;

4) if $x\in R_i$ and $f(x)\in\text{int} R_j$ then 
$f(V^s(x, R_i))\subset V^s(f(x), R_j)$; if $x\in R_i$ and 
$f^{-1}(x)\in\text{int} R_j$ then 
$f^{-1}(V^u(x, R_i))\subset V^u(f(x), R_j)$; here 
$ V^s(x, R_i)=V^s(x)\cap R_i$ and $V^u(x, R_i)=V^u(x)\cap R_i$.

The {\it transfer matrix} $A=(a_{ij})_{1 \leq i,j \leq m}$ associated with 
the Markov partition is defined as follows: $a_{ij}=1\ \hbox{\rm if}\ 
f(\text{int} R_i)\cap\text{int} R_j\not= \emptyset$ and $a_{ij}=0$ otherwise.

Let $(\Sigma_A,\sigma)$ be the associated subshift of finite type (where 
$\sigma$ denotes the shift). For each $\xi\in\Sigma_A$ the set 
$\bigcap_{n=-\infty}^{\infty}f^{-n}(R_{\xi(n)})$ contains a single point. 
The {\it coding map} $\pi: \Sigma_A\to\Lambda$ defined by 
$\pi{\xi}=\bigcap_{n=-\infty}^{\infty}f^{-n}(R_{\xi(n)})$ is a
 semi-conjugacy between $f$ and $\sigma$, i.e., $f\circ\pi=\pi\circ\sigma$.  

We consider $\Sigma_A^{\zd}$ as a subset of the direct product
$\Omega^{\z^{d+1}}$, where $\Omega=\{1,2,\dots, m\}$. Its elements will be
denoted by $\bar\xi = \bar\xi{(i,j)}_{i \in \z^d, j \in \z}$, or 
sometimes by $\bar\xi =\xi_i(j)_{i\in\z^d,j\in\z}$.   
This symbolic space is endowed with the  distance 
$$
\rho_q(\bar\xi,\bar\eta)=\sup_{(i,j)\in\z^{d+1}}q^{|i|+|j|} |\bar\xi(i,j)-\bar\eta(i,j)|
\eqno{(3.1)}$$  
which is compatible with the product topology. 
Let $\sigma_t$ and $\sigma_s$ be the time and space translations on 
$\Sigma_A^{\zd}$ defined as follows: for 
$\bar\xi=(\xi_i)\in\Sigma_A^{\zd},\,\xi_i=\xi_i(\cdot)\in\Sigma_A$,
$$
(\sigma_t^k \bar\xi)_i(j)=\xi_i(j+k),\quad (\sigma_s^k\bar\xi)_i=\xi_{i+k},\, k\in\zd.
\eqno{(3.2)}$$ 
We define the coding map $\bar\pi=\otimes_{i\in\zd}\pi :
\Sigma_A^{\zd}\to\Delta_F$. It is a semi-conjugacy between the uncoupled 
map lattice and the symbolic dynamical system, 
i.e., the following diagram is commutative:\hb 

\medskip
\vbox{
{\baselineskip=5pt
$$\Delta_F \  \qquad \mapright{(F,S)} \qquad \ \Delta_F$$
$$ \uparrow\bar\pi \hskip2.1cm \uparrow\bar\pi$$
$$\Sigma_A^{\zd}\qquad \mapright{(\sigma_t,\sigma_s)} \qquad \Sigma_A^{\zd}\eqno{(3.3)}$$
}
}
The following statement describes the properties of the map $\bar\pi$.
Its proof follows from the definitions. 
\medskip
{\bf Proposition 3.1.} {\sl (1) $\bar\pi$ is surjective and 
Lipschitz continuous with respect to the 
$\rho_q$-metric for any $0<q<1$. 

(2) $\bar\pi\circ\sigma_t=F\circ\bar\pi,\quad
\bar\pi\circ\sigma_s= S\circ\bar\pi,\ \hbox{\rm i. e., }\ \bar\pi
\circ\tau^*=\tau\circ\bar\pi$.

(3) $\bar\pi$ is injective outside the set 
$\bigcup_{x\in\z^{d+1}}\tau^{*x}(\bar\pi^{-1}(\BB))$, where
$\BB=\cup_i\partial R_i$ is the boundary of the Markov partition.}
\medskip
\shead{3.2. Coupled Map Lattices and Lattice Spin Systems} 
\medskip
The coding map $\bar\pi$ enables one to reduce the study of uniqueness and ergodic properties of equilibrium measures corresponding to a (H\"older)
continuous function $\varphi$ on $(\Delta_F,\rho_q)$ for the $\z^{d+1}$-action
$\tau^*=(F,S)$ to the study of the same properties of equilibrium measures
corresponding to the function $\varphi^*= \varphi\circ\bar\pi$ 
on $\Sigma_A^{\zd}$ for the action $\tau=(\sigma_t,\sigma_s)$. In statistical
physics the latter is called {\it the lattice spin system}.
 We describe the reduction in the following series of results.
\medskip
{\bf Theorem 3.1.} {\sl (1) Let $\varphi$ be a continuous function 
on $\Delta_F$. Then $P_{\tau^*}(\varphi^*)\geq P_{\tau}(\varphi)$.

(2) Let $\mu^*$ be a $\tau^*$-invariant measure on 
$\Sigma_A^{\zd}$ and $\mu=\mu^*\circ{\bar\pi}^{-1}_*$.
 Then $h_{\tau}(\mu)\leq h_{\tau^*}(\mu^*)$.}
\medskip
As in the case of finite-dimensional dynamical systems it is crucial to 
know that the projection measure $\mu=\mu^*\circ{\bar\pi}^{-1}_*$ 
of the equilibrium measure 
$\mu^*$ corresponding to the function $\varphi^*$ 
is not concentrated on the boundary $\BB$ 
of the Markov partition, i.e., that
$$
\mu^*({\bar\pi}^{-1}(\BB))=0. \eqno{(3.4)}
$$
 
{\bf Theorem 3.2.} {\sl Let $\varphi$ be a continuous function
on $\Delta_F$. Assume that the condition (3.4) holds for any equilibrium
measure $\mu^*$ corresponding to $\varphi^*=\varphi\circ\bar\pi$. Then,

(1) $P_{\tau^*}(\varphi^*)= P_{\tau}(\varphi)$;

(2) the measure $\mu=\mu^*\circ{\bar\pi}^{-1}_*$ is an equilibrium measure 
corresponding to $\varphi$.

(3)  if $\mu^{}_{\varphi}$ is an equilibrium measure for $\varphi$ on $\Delta_F$, then there exists
an equilibrium measure $\mu^*$ for $ \varphi^* = \varphi\circ\bar\pi$ with the
property  $\mu^{}_\varphi(E) = \mu^*( \bar\pi^{-1}(E) )$
 for any Borel set $E \subset \Delta_F$.

}
\medskip

Both Theorems 3.1 and 3.2 follow directly from the definitions (see (2.4) and 
(2.7)). In the finite-dimensional case
 Condition (3.4) holds  provided  
the potential function is H\"older continuous. 
This is due to the fact that the equilibrium measure 
is unique and hence is ergodic [Ma]. In the infinite-dimensional
 case the ergodicity  of $\mu^*$ with respect to time
translations is still sufficient for (3.4) to hold. 
\medskip
{\bf Theorem 3.3.} [J1] {\sl Let $\mu^*$ be an equilibrium measure 
corresponding to a H\"older continuous function on $\Sigma_A^{\zd}$. 
Assume that $\mu^*$ is ergodic with respect to the time translation 
$\sigma_t$. Then it satisfies Condition (3.4).}
\medskip
The proof of this theorem is similar to the proof in the finite-dimensional 
case (see [Bo]). The boundary $\BB$ is a countable union of closed sets
invariant under the time shift. 
By ergodicity the measure of $\BB$ is either zero or
one. On the other hand, one can show that $\mu^*$ takes on positive values
on open sets (see below). Therefore, the measure of $\BB$ is zero.
 
Uniqueness of the equilibrium measure implies its ergodicity with respect to 
the $\z^{d+1}$-action induced by $(F,S)$. This is weaker than ergodicity with
respect to the time translation. In [J1], the author proved directly that for
a class of H\"older continuous functions Condition (3.4) holds. 

Recall that a function $\varphi$ on $\Delta_F$ is H\"older continuous in the $\rho_q$-metric if 
$$  
|\varphi(\bar x)-\varphi(\bar y)|\leq c\rho_q^{\alpha}(\bar x,\bar y), 
$$ 
where $\bar x=(x_i),\bar y=(y_i)\in\Delta_F$. Note that if 
the function $\varphi$ is H\"older continuous on
 $\Delta_F$ (in the $\rho_q$-metric) then the function 
$\varphi^*=\varphi\cdot\bar\pi$ on $\Sigma_A^{\zd}$ is also H\"older continuous.
The following statement enables one
 to reduce the study of the uniqueness problem for 
coupled map lattices to the study of the same problem for lattice spin systems.
\medskip
{\bf Theorem 3.4.} [J1] {\sl Let $\varphi$ be a H\"older continuous 
function on $(\Delta_F,\rho_q)$. Assume in addition that 
$$  
|\varphi(\bar x)-\varphi(\bar y)|\leq c\rho_q^{\alpha}(\bar x,\bar y), 
$$ 
where $\bar x=(x_i),\bar y=(y_i)\in\Delta_F$,  $x_0=y_0$, and $c $ is sufficiently small.
Then, $\mu^*({\bar\pi}^{-1}(\BB))=0$ holds 
for any equilibrium measure of $\varphi^*$ on $\Sigma_A^{\zd}$.
 Therefore, for this class of potential functions,
 the uniqueness of measure $\mu^*$ implies the uniqueness of measure $\mu$.}

In the next section we shall actually show that the equilibrium measure for $\varphi^*$ is unique and exponentially mixing
 for the class of H\"older continuous functions
 satisfying the condition of Theorem 3.4.
\medskip
\shead{3.3. Gibbs States for Lattice Spin Systems} 
\medskip
We remind the reader the concept of Gibbs states for lattice spin systems of statistical physics. 

An element $\bar\xi\in \Sigma_A^{\zd} \subset \Omega^{\z^{d+1}}$ is called a {\it configuration}. For any subset $X\subset\z^{d+1}$ we set
$$
\Omega_X =\{\bar\eta\in\Omega^X : \hbox{\rm \ there \ exists }
\bar\xi\in  \Sigma_A^{\zd} \hbox{\rm \ such \ that }\bar\eta(i)=\bar\xi(i), \, i\in X\}.
$$ 
The elements of $\Omega_X $ will be denoted by $\bar\xi_X$, or sometimes by $\bar\xi(X)$. One can say that $\Omega_X$ consists of 
restrictions of configurations $\bar\xi$ to $X$.

For each finite subset $X\subset\z^{d+1}$ define the function 
$p^{}_{\st X}(\bar\xi)$ on $\Sigma_A^{\zd}$ by
$$ 
p^{}_{\st X}(\bar\xi)={1\over\sum_{\bar\eta,\bar\eta(\hat X) 
=\bar\xi(\hat X)}\exp\big(\sum_{x\in\z^{d+1}}\varphi(\tau^x\bar\eta)-
\varphi(\tau^x\bar\xi)\big)},
\eqno{(3.5)}$$
where $\tau^x$ is the action $(\sigma_t)^i\circ (\sigma_s)^j,\,
{\hat X}=\z^{d+1}\setminus X$, and $x=(i,j), \,i\in\zd,\,j\in\z$.

Let $\varphi$ be a H\"older continuous function on $\Sigma_A^{\zd}$.
A probability measure $\mu$ on $\Sigma_A^{\zd}$ is called a {\it Gibbs state}
for $\varphi$ if for any finite subset $X\subset\z^{d+1}$,
$$ 
\mu^{}_{\st X}(\bar\xi(X))=\int_{\Omega_{\st{\hat X}}} 
p^{}_{\st X}(\bar\xi)d\mu^{}_{\st{\hat X}},
\eqno{(3.6)}$$
where $\mu^{}_{\st X}$ and $\mu^{}_{\st{\hat X}}$ 
are the probability measures on $\Omega_X$
 and $\Omega_{{\hat X}}$ respectively that are 
induced by natural projections. This equation is known as the {\it Dobrushin-Ruelle-Lanford equation}. 

There is another equivalent way to describe Gibbs
states corresponding to H\"older continuous functions on symbolic spaces.
Let $\varphi$ be such a function. For each finite volume $X$ we define 
a conditional Gibbs distribution
on $\O_X$ under a given boundary condition $\bar\eta^*$ by
$$  
\mu^{}_{\bar\eta^*, X}{(\bar\xi(X))}={1\over\sum_{\bar\eta,\bar\eta(\hat X)=\bar\eta^*(\hat X)} 
\exp\big(\sum_{x\in\z^{d+1}}\varphi(\tau^x\bar\eta)-\varphi(\tau^x(\bar\xi(X)+ \bar\eta^*(\hat X))\big)},
\eqno{(3.7)}$$
where $\bar\xi(X)+\bar\eta^*({\hat X})$
 denotes the (admissible) configuration on $X\cup\hat X$ 
whose restrictions to $X$ and $\hat X$
 are $\bar\xi(X)$ and $\bar\eta^*({\hat X})$ respectively.
The set of all Gibbs states for $\varphi$ is the convex hull
of the thermodynamical limits of the conditional Gibbs distributions.

The relation between translation invariant Gibbs states and 
equilibrium measures can be stated as follows (see [Ru]).
\medskip
{\bf Theorem 3.5.} {\sl If the transfer matrix $A$ is aperiodic then $\mu$
is an equilibrium measure for $\varphi$ if and only if it is a translation 
invariant Gibbs state for $\varphi$.}
\medskip 
In statistical mechanics Gibbs states are usually defined for potentials
rather than for functions. We briefly describe this approach.

A {\it potential} $U$ is a collection of functions defined on the family of all finite configurations, i.e.,
$$
U=\{U_X:\, X\subset\z^{d+1},\, U_X:\Omega_X\to\Bbb R\}.
$$  
Gibbs states for a potential $U$
 is defined as the convex hull of the thermodynamical limits of 
the conditional Gibbs distributions:
$$  
\mu^{}_{\bar\eta^*, \st X}(\bar\xi(X))=
{\exp(\sum_{V\cap X\not=\emptyset}U_V(\bar\xi(X)+\bar\eta^*({\hat X}))\over
\sum_{\bar\eta,\bar\eta({\hat X})=\bar\eta^*({\hat X})}
\exp(\sum_{V \cap X\not=\emptyset}U_V(\bar\eta))}, 
\eqno{(3.8)}$$
where $\bar\eta^*$ is a fixed configuration.

We describe potentials corresponding to H\"older continuous functions. 
Let $\varphi$ be such a function. We write $\varphi$ in the form of a series 
$$ 
\varphi =\sum_{n=0}^{\infty}\varphi_n. 
\eqno{(3.9)}$$
Here the value of $\varphi_n$ depends only on configurations inside
the $(d+1)$-dimensional cube $Q_n$ centered at the origin of side $2n\times \cdots\times 2n$. We also 
set $Q_0=(0,0)$. We define the functions
 $\varphi_n$ as follows. Fix a configuration $\eta^*$ and set 
$$
\varphi_0(\bar\xi)=\varphi\big(\bar\xi(Q_0)+\bar\eta^*(\hat Q_0)\big).
\eqno{(3.10)}$$ 
Continuing inductively we define 
$$
\varphi_{n+1(\bar\xi)}=\varphi\big(\bar\xi(Q_{n+1})+\bar\eta^*(\hat Q_{n+1})\big)
-\varphi\big(\bar\xi(Q_{n})+\bar\eta^*(\hat Q_{n})\big),\quad n=1,2,\dots.
\eqno{(3.11)}$$ 
It is easy to see that $\|\varphi_n\|\to 0$ exponentially fast as $n\to\infty$.
We define the potential $U_{\varphi}$ associated with the function
$\varphi$ on $Q_n$ by setting 
$$
U_{\varphi}{(\bar\xi({Q_n}))}=\varphi_n(\bar\xi({Q_n})).
\eqno{(3.12)}$$
For other $(d+1)$-dimensional cubes that are translations of $Q_n$ we assign 
the same value of $U_{\varphi}$. For other finite subsets of $\z^{d+1}$ 
we define the potential to be zero. Thus, we obtain 
a translation invariant potential whose values on finite volumes decrease exponentially when the diameter of the volume grows. 

If $\varphi_0= 0$, the value of the corresponding  potential $U_{\varphi}$ 
is bounded by the H\"older constant of
 the function $\varphi$. More generally, let us set 
$$
\FF(\alpha, q,\epsilon)=\{\varphi :\, |\varphi(\bar\xi)-\varphi(\bar\eta)|
\leq \epsilon \rho_q^{\alpha}(\bar\xi,\bar\eta)\},
\eqno{(3.13)}$$
$$
\|U_{Q_n}\|=\sup_{\xi({Q_n})\in\Omega_{Q_n}}|U_{Q_n}(\bar\xi({Q_n}))|, 
\eqno{(3.14)}$$
$$\PP(q, \epsilon)=\{U :\sup_{n \ge 1} q^{-n}\|U_{Q_n}\|\leq\epsilon\}.
\eqno{(3.15)}$$ 
It is easy to see that, if $\varphi\in\FF(\alpha,\epsilon)$, then $U_{\varphi}\in\PP(q^{\alpha},\epsilon)$. 
On the other hand, $U_{\varphi}\in\PP(q ,\epsilon)$ implies
$\varphi\in\FF({1 / 2}, q,\epsilon)$.

The definition of Gibbs states corresponding to 
potentials is consistent with the one corresponding to functions.
More precisely, Gibbs distributions corresponding to a H\"older continuous 
function $\varphi$ are exactly the Gibbs
 distributions corresponding to the potential $U_{\varphi}$.

As we have seen the problem of uniqueness of equilibrium
states on symbolic spaces can be reduced to the problem of uniqueness of 
translation invariant Gibbs states provided the function $\varphi$ is H\"older 
continuous. This problem has been extensively studied in statistical
physics  for a long time. In the one-dimensional case (when $d=0$) Gibbs 
states are always unique and are mixing with respect
to the shift provided the potential decays  exponentially fast as the length 
of intervals goes to infinity (see [Ru]). In the case of higher dimensional
lattice spin systems the well-known Ising model provides an example where the
Gibbs states are not unique even for potentials of finite range (see [Sim]).
We first describe the two-dimensional Ising model in the context of spin 
lattice systems. 
\medskip
{\bf Example 1: The Ising Model} ($d=1$).
 Define the potential function $\varphi$ on $\Omega$  by 
$$
\varphi(\bar\xi)=\beta\big(\bar\xi{(1,0)}\bar\xi{(0,0)}+\bar\xi{(0,0)}
\bar\xi{(0,1)\big)}. 
\eqno{(3.16)}$$
Then the following statements hold: {\sl

(1) $\varphi(\bar\xi)$ depends only on the values of $\bar\xi$ at three
lattice points: $(1,0),(0,0)$, and $(0,1)$; 

(2) There exists $\beta_0>0$ such that for
 $\beta>\beta_0$ Gibbs states corresponding to 
the function $\varphi(\bar\xi)$ are not unique.}
\medskip
Based upon this Ising model we describe now an example of a coupled map lattice 
and a H\"older continuous function with non-unique equilibrium measure. 
\medskip
{\bf Example 2: Phase Transition For Coupled Map Lattices.}   
Let $M$ be a compact smooth surface and $(\Lambda, f)$ the Smale horseshoe. 
One can show that the semi-conjugacy $\bar\pi$ between 
$\MM=\otimes_{i\in\z}M$ and $\{0, 1\}^{\z^{2}}$ induced by the Markov
partition can be chosen as an isometry. Thus, the function $\psi=\varphi\circ\bar\pi^{-1}$ is H\"older continuous on $\Delta_F$, where
the function $\varphi$ is chosen as in Example 1.
 Since the boundary of the Markov partition is empty Condition (3.1) holds. We conclude that there are 
more than one equilibrium measures for the function $\psi$. 

The following statement provides a general sufficient condition for uniqueness 
of Gibbs states. Let $U$ be a translation 
invariant potential on the configuration 
space $\O^{\z^{d+1}}$, where $\O=\{1,2,\dots, m\}$. 
\medskip
{\sl (1) ({ Dobrushin's Uniqueness Theorem} [D1], [Sim]): \  Assume that
$$ 
\sum_{X:\, 0\in X}(|X|-1 )||U(X)||\, < 1.
\eqno{(3.17)}$$
Then the Gibbs state for $U$ is unique.

(2) ([Gro], [Sim]): There exist $r>0$ and $\varepsilon>0$ such that if 
$$ 
\sum_{X:\, 0\in X}e^{rd(X)}|| U(X)||\leq\varepsilon
\eqno{(3.18)}$$
($d(X)$ denotes the diameter of $X$)
 then the unique Gibbs state is exponentially mixing 
with respect to the $\z^{d+1}$-action on $\O^{\z^{d+1}}$.}
\medskip 
The proof of Dobrushin's uniqueness theorem relies strongly
upon the direct product structure of the configuration space $\O^{\z^{d+1}}$. 
This result can not be directly applied to establish uniqueness of Gibbs states
for lattice spin systems,
 which are symbolic representations of coupled map lattices, 
because the configuration space $\Sigma_A^{\zd}$ is, in general, a translation invariant
 subset of $\O^{\z^{d+1}}$. In [BuSt], the authors constructed 
examples of strongly irreducible subshifts of finite type for which
there are many Gibbs states corresponding to the function $\varphi=0$. In order 
to establish uniqueness we will use the special structure of  
the space $\Sigma_A^{\zd}$: it admits subshifts 
of finite type in the ``time'' direction and the Bernoulli shift
in the ``space'' direction. 
\medskip
We now present the main result  on uniqueness and mixing property 
of Gibbs states for  lattice spin systems which are symbolic representations of coupled map 
lattices of hyperbolic type.
 In the two-dimensional case ($d=1$), it was proved by 
Jiang and Mazel (see [JM]). In the multidimensional case it was established 
by Bricmont and Kupiainen (see [BK3]). 

A potential $U_0$ on $\Sigma_A^\z$ is called {\it longitudinal} if it is zero
everywhere except for configurations on
 vertical finite intervals of the lattice. A potential $U_0$ 
is said to be {\it exponentially decreasing} if 
$$ 
|U_0(\bar\xi(I))|\le Ce^{-\lambda |I|},
\eqno{(3.19)}$$ 
where $C>0$ and $\lambda>0$ are constants, $I$ is a vertical interval, $|I|$
is its length, and $\bar\xi(I)$ is a typical configuration over $I$. 
Exponentially deceasing longitudinal  potentials correspond to those potential
functions whose values depend only on the configuration 
$\bar\xi(0,j), \,j\in\z$.

We say that a Gibbs state is exponentially mixing if for every integrable
function on the configuration space the $\z^{d+1}$-correlation functions decay exponentially to zero. 
\medskip
{\bf Theorem 3.6 (Uniqueness and Mixing property of Gibbs States).}
{\sl For any exponentially deceasing longitudinal 
 potential $U_0$ and every $0<q<1$, 
there exists $\epsilon >0$ such that the Gibbs state for any  potential $U=U_0+U_1$ 
with $U_1\in\PP(q,\epsilon)$ is unique 
and exponentially mixing. }
\medskip
{\bf Proof.} \ 
We provide a brief sketch of the proof assuming first that $U_0 =0$ and 
$d=1$.  We may assume that the potential is non-negative
(otherwise, the non-negative potential
$U'(\eta(Q))= U( \eta(Q)) + \max_{\eta(Q)}|U(\eta(Q))|$ 
defines the same family of Gibbs distributions). 

We first introduce an {\it equivalent} potential which is defined on 
rectangles (i.e., a potential which generates the same Gibbs measures).
Consider a square $Q$ and a rectangle $P$ and denote by 
$b(Q)=(b_1(Q), b_2(Q))$ and $b(P)= (b_1(P), b_2(P))$ the left lowest corners 
of $Q$ and $P$, respectively. We define the {\it rectangular potential} $U(\bar\eta(P))$ 
for all rectangles with $b_2(P) = n L, \, n\in\z$ of size $l(P)\times Ll(P)$ by
$$ 
U(\bar\eta(P))=\sum U(\bar\eta(Q)),
\eqno{(3.20)}$$
where the sum is taken over all squares $Q$ satisfying the following condition: 
$Q$ is of size $l(P) \times l(P)$ and 
$b_1(Q) = b_1(P),\, b_2(P) \leq b_2(Q) < b_2(P) + L$. One can check that both 
potentials generate  the same conditional Gibbs
distribution on any finite volume $V \subset \z^2$. 
 
Let $V\subset \z^2$ be a finite volume of size $n \times nL$. Fix a 
boundary condition $\bar\eta^*(\hat V)$. 
For any configuration $\bar\xi(V)$ such that  $\bar\xi(V)+\bar\eta^*(\hat V)$ 
is a configuration in $\z^{2}$ a {\it conditional Hamiltonian} specified by 
the potential $U(\bar\eta(P))$ is defined as follows
$$
H(\bar\xi(V)|\bar\eta^*(\hat V))=-\sum_{P\cap V\not=\emptyset}  
U\big(\bar\eta(P) |\bar\xi(V)+\bar\eta^*(\hat V)\big).
\eqno{ (3.21)}$$
The expression $U\big(\bar\eta(P) |\bar\xi(V)+\bar\eta^*(\hat V)\big)$ means 
that the potential $U(\bar\eta(P))$ is evaluated under the condition
that $\bar\xi(V)+\bar\eta^*(\hat V)$ is fixed. Recall that
a conditional Gibbs distribution with 
the inverse temperature $\beta\ge 0$ is defined by
$$
\mu_{\! \atop V,\bar\eta^*}(\bar\xi(V))=
{\exp\big({-\b H(\bar\xi(V)|\bar\eta^*(\hat V))}\big)
\over \Xi(V|\bar\eta^*(\hat V))},
\eqno{ (3.22)}$$
where 
$$
\Xi(V|\s'(\hat V))=\sum_{\bar\eta(V)}\exp\big({-\b H(\bar\eta(V)|
\bar\eta^*(\hat V))} \big)
$$ 
is a partition function in the volume $V$ with the boundary condition
$\bar\eta^*(\hat V)$.

Let $B \subset V\subset\z^2$. We wish to use (3.22) in order to compute the probability $\mu_{\! \atop V,\bar\eta^*}(\bar\xi(B))$ of the configuration $\bar\xi(B)$ under
the boundary condition and to show that it has a limit as $V\to \z^2$. The
latter is the unique Gibbs state for the potential $U$.
Using the Polymer Expansion Theorem (see Appendix)
 we rewrite the expression (3.22) in the following form:
$$  
\mu_{\! \atop V,\bar\eta^*}(\bar\xi(B))=
{N(A)} \left[ \exp{\sum_{P\subseteq B}U(\bar\xi(P))} \right]
{\Xi\left( V\setminus B|\bar\xi(B)+\bar\eta^*(\hat V)\right)
 \over\Xi\left( V|\bar\eta^*(\hat V)\right)}
$$ 
$$
={N(A)}\exp\left[\sum_{P\subseteq B}U(\bar\eta(P))+\sum_{\wp: \wp\cap V\backslash B\not=\emptyset}W(\wp|\bar\xi(B)+\bar\eta^*(\hat V)) 
-\sum_{\wp:\wp\cap V\not=\emptyset}W(\wp|\bar\eta^*(\hat V))\right]
$$
$$
=N(A)\exp\left[\sum_{P\subseteq B} U(\xi(P))+\sum_{\wp: \dist(\bwp,B)\leq 1}
W(\wp|\xi(B) ) -\sum_{\wp:\dist(\bwp,B)\leq 1}W(\wp)\right],
$$ 
where $N(A)$ is a normalizing factor, determined by the transfer
matrix $A$, $W(\wp|\bar\eta^*(\hat V))$ and 
$W(\wp|\bar\xi(B)+\bar\eta^*(\hat V))$ 
are the statistical weights for the polymer $\wp$ (see Appendix), and $P$ is a rectangle.   
By the Abstract Polymer Expansion Theorem 
(see Appendix) each term in the last sum converges to a limit uniformly in $\PP(q,\epsilon)$.   

The proof can be easily extended to the case when $U_0$ is a general exponentially decreasing
 longitudinal potential (see [JM] for detail).  When $d>1$ the proof
is given by Bricmont and Kupiainen in [BK3] by  directly
obtaining polymer expansions of correlation functions.   \qedd
\medskip
Theorems 3.4 and 3.6 enable us to obtain the following main result about 
uniqueness and mixing property of 
equilibrium measures for coupled map lattices.
\medskip
{\bf Theorem 3.7.} {\sl   
Let $(\Phi,S)$ be a coupled map lattice and
$\varphi=\varphi_0 +\varphi_1$ a function on $\Delta_\Phi$, where $\varphi_0$ 
is a H\"older continuous function with a small H\"older constant 
in the metric $\rho_q$ and $\varphi_1$ is a H\"older continuous function depending only on the coordinate $x_0$. Then there exists a unique equilibrium
measure $\mu^{}_{\varphi}$ on $\Delta_\Phi$ corresponding to $\varphi$. This
measure is mixing and takes on positive values on open sets. Furthermore, the correlation functions decay exponentially for every H\"older continuous 
function on $\Delta_\Phi$ satisfying the above assumptions.}
 
\chead{IV. Finite-Dimensional Approximations}{}

In this section we describe finite-dimensional approximations of equilibrium  measures 
for coupled map lattices. One should distinguish two different types of approximations:
by $\z^{d+1}$-action equilibrium measures and $\z$-action 
equilibrium measures. The first come from the corresponding 
$\z^{d+1}$-dimension lattice spin system while the second one is  
a straightforward finite-dimensional approximation of the initial coupled map lattice.

In order to explain some basic ideas concerning
 finite-dimensional approximations we first consider
 an uncoupled map lattice $(\MM, F)$. 
Let $\varphi$ be a H\"older continuous function on $\MM$ which depends only 
on the central coordinate, i.e., $\varphi(\bar x)=\psi(x_0)$, where $\psi$ is 
a H\"older continuous function on $M$ (whose H\"older constant is not 
necessary small).
It is easy to see that the equilibrium measure $\mu_{\varphi}$ corresponding 
to $\varphi$ is unique with respect to the $\z^{d+1}$-action $(F,S)$ and that
$\mu_{\varphi}=\otimes_{i\in\zd} \mu_{\psi}$,
 where $\mu_{\psi}$ is the equilibrium measure on
 $\Lambda\subseteq M$ for $\psi$ with respect to the
$\z$-action generated by $f$. One can also verify that for any finite set
$X\subset\zd$ the measure $\mu_X=\otimes_{i\in X}\mu_{\psi}$ is the unique
equilibrium measure on the space $M_X=\otimes_{i\in X}M$ corresponding to the
function $\varphi_X=\sum_{i\in X}\varphi{(S^i\bar x)}$ with respect to
$\z$-action $F_X=\otimes_{i\in X}f$. Clearly, $\mu_{X_n}\to\mu_\varphi$ in 
the weak$^*$-topology for any sequence of subset $X_n\to\zd$ (i.e., 
$X_n\subset X_{n+1}$ and $\bigcup_{n\geq 0}X_n=\zd$). 

It is worth  emphasizing that the sequence of the functions $\varphi_{X_n}$
does not converge to a finite function on $\MM$ as $n\to\infty$ while the 
corresponding $\z$-action equilibrium measures $\mu_{\varphi_{X_n}}$ approach 
the $\z^{d+1}$-action equilibrium measure $\mu_{\varphi}$.  

On the other hand, one can consider $\varphi$ as a function on the space  
$M_X$ provided $0\in X$. The unique equilibrium measure with respect to
the $\z$-action generated by $F_X$ is 
$\mu_{\psi}\times\dt\otimes_{i\in X, i\not=0}\nu_0$, where 
$\nu_0$ is the measure of maximal entropy on $M$.  

This simple example illustrates that the $\z^{d+1}$-action equilibrium
measures corresponding to a function $\varphi$ may not admit approximations 
by the $\z$-action equilibrium measures corresponding to the restrictions of
$\varphi$ to finite volumes. 
\medskip
\shead{ 4.1. Continuity of Equilibrium Measures Over Potentials} 
\medskip
In this section we show that equilibrium measures for coupled map lattices
depend continuously on their potential functions in the weak$^*$-topology. 
 
Fix $0<q<1$ and consider the space of all H\"older continuous functions on $\Delta_\Phi$ 
with H\"older exponent $0< \alpha <1 $ 
and  H\"older constant $\epsilon >0 $ in the metric $\rho_q$.
We denote this space by  
$\widetilde\FF({\alpha},q,\epsilon)$. It is endowed with the usual supremum 
norm $\|\varphi\|$. We also introduce the $q^\alpha$-norm on this space by 
$$
\|\varphi\|_{q^\alpha}=\max\{\sup_{n\geq 0}q^{-\alpha n}\sup_{\bar x,\bar y\in\Delta_{\Phi}}
|\varphi(\bar x)-\widetilde\varphi(\bar y)|,\|\varphi\|\},
\eqno{(4.1)}$$
where the second supremum is taken over all points $\bar x,\bar y$ for which
$x_i=y_i$ for $|i|\leq n$.

The following statement establishes continuous 
dependence of equilibrium measures for coupled map
 lattices for potential functions in $\widetilde\FF({\alpha},q,\epsilon)$.
We provide a proof in the case $d=1$ using
 the approach which is based on the polymer expansions. If $d>1$ the continuous dependence still holds and can be
established using methods in [BK3].
\medskip
{\bf Theorem 4.1.} {\sl There exists $\epsilon >0$
 such that the unique equilibrium measure
 $\mu_{\varphi}$ on $\Delta_{\Phi}$ depends continuously
(in the weak$^*$-topology) on $\varphi\in\widetilde\FF({\alpha},q,\epsilon)$ 
with respect to the norm $\|\cdot\|_{q^\alpha}$, i.e.,  
for $\psi_m\in\widetilde\FF({\alpha},q,\epsilon)$, 
$\|\psi_m-\varphi\|_{q^\alpha} \to 0$ implies
$\mu_{\psi_m}\to\mu_{\varphi}$ in the weak$^*$-topology.}
\medskip
{\bf Proof.} Observing that $\|\psi_m-\varphi\|_{q^\alpha}\to 0$ implies
the convergence of corresponding potentials on the symbolic space
we need only to establish the continuity of Gibbs state for the corresponding
symbolic representation. For a potential $U$ on $\Sigma^{\z}_A$ its norm
$\|\cdot \|_q$ is defined as
$$
\|U\|_q=\sup_{n\ge 0}q^{-n} \|U_{Q_n}(\bar \xi _{Q_n}) \|,
\eqno{(4.2)}$$
where $0 < q < 1$. By theorem 3.6 the Gibbs state is unique when $\|U\|_q $ is sufficiently small.  
We denote the Gibbs state for $U$  by $\mu^{}_{U} $. We show that
for any cylinder set $E\subset\Sigma^{\z}_A$, $\mu^{}_U(E)$ 
depends on $U$ continuously in a neighborhood of the zero potential
in the set $\PP(q, 1)= \{ U : \, \| U\|_q \leq 1\}$.

For this purpose we use the explicit expression of $\mu^{}_U(E)$ in
terms of the potential $U$ provided by the polymer expansion theorem
(see Appendix). 
 
For non-negative potential $U\in\PP(q,\eps), \, U(\eta(Q))\ge 0$ and any finite
set $B\subset\z^2$ we have the unique Gibbs state:
$$
\mu^{}_U(\bar\xi(B))=N(A)\exp\left[\sum_{P
\subseteq B}U(\bar\xi(P))+\sum_{\wp:\dist(\bwp, B)\leq 1}
W(\wp|\bar\xi(B))-\sum_{\wp:\dist(\bwp,B)\leq 1}W(\wp)\right],
\eqno{(4.3)}$$
where $N(A)$ is a normalizing factor, which is determined by the transfer
matrix $A$, $W(\wp)$ and $W(\wp|\bar\xi(B)$ are the statistical weights for 
the polymer $\wp$ (see Appendix), and $P$ is a rectangle. 
By the Abstract Polymer Expansion Theorem (see Appendix) all three terms in 
the above sum converge uniformly in $\PP(q,\eps)$ and the statistical weight 
$W(\wp)$ depends continuously on $U(\eta(P))$
 with respect to the norm $\|\cdot\|_q$.
 This implies that $\mu^{}_U$ depends on $U \geq 0$ weakly
continuously.

To show that $\mu^{}_U$ depends on $U$ continuously for all 
$U \in \PP(q,\epsilon/4 )$ let us consider the potential 
$U_{\epsilon}$ defined as $U(\bar\xi({Q_n}))=\epsilon q^n$. Then, for any $U\in\PP(q,\epsilon/4)$ we have that 
$$
U+U_{\epsilon/4}\geq 0,\quad  U+U_{\epsilon/4}\in\PP(q,1/2\epsilon).
$$ 
Note that given $Q_n$, $U_\epsilon$ is a constant potential on $Q_n$. 
Therefore, Gibbs distributions for $U$ and $U+U_{\epsilon/4}$ coincide 
and hence,
$$ 
\mu^{}_U=\mu^{}_{U+U_{\epsilon/4}}.
\eqno{ (4.4)}$$
This implies the desired result. \qedd
\medskip
\shead{4.2. Finite-Dimensional $\z^{d+1}$-Approximations} 
\medskip
We describe finite-dimensional 
$\z^{d+1}$-approximations of equilibrium measures for coupled map lattices.

Let $\varphi\in \widetilde\FF({\alpha},q,\epsilon)$
 be a H\"older continuous function on $\Delta_\Phi$.
 Fix a point $\bar x^*=(x_i^*)$ which we call the 
{\it boundary condition}. Given a finite volume $V\subset \z^d$
consider the function on $\Delta_\Phi$ 
$$ 
\varphi_{n,\bar x^*}(\bar x)=\varphi(\bar x|_V, \bar x^*|_{\hat{V}}).
\eqno{ (4.5)}$$
One can see that 
$$
\|\varphi_{n,\bar x^*}-\varphi\|_{q^\alpha_1}\to 0
\eqno{ (4.6)}$$ 
as $n\to\infty$ for any $q_1$ with $0<q <q_1$.
The following result is an immediate corollary of Theorem 4.1.
\medskip
{\bf Theorem 4.2.} {\sl $\mu_{\varphi_{n,\bar x^*}}\quad\mapright{weak^*}\quad \mu_{\varphi}$ independently of the boundary condition $\bar x^*$} (recall that $\mu_{\varphi_{n,\bar x^*}}$ is the unique equilibrium measure corresponding 
to the function $\varphi_{n,\bar x^*}$ and $\mu_{\varphi}$
is the unique equilibrium measure corresponding to the function $\varphi$).
 \medskip
\shead{4.3. Finite-Dimensional $\z$-Approximations I: Uncoupled Map Lattices} 
\medskip
We describe some ``natural'' finite-dimensional approximations of equilibrium measures for coupled map lattices by $\z$-action equilibrium measures. We 
first consider an uncoupled map lattice $(F,S)$ in the space $(\MM,\rho_q)$.

For every volume $V\subset\z^d$ we set
 $\MM_V=\otimes_{i \in V}M_i, \, F_V=\otimes_{i \in V}f_i$, and $\Delta_{F,V}=\otimes_{i \in V}\Lambda_i$. 
One can see that $\MM_V$ is a smooth finite-dimensional manifold,
$F_V$ is a $C^r$-diffeomorphism of $\MM_V$, and $\Delta_{F,V}$ is a locally
maximal hyperbolic set for $F_V$.

Fix a point $\bar x^*=(x_i^*)\in\Delta_F$ ({\it the boundary condition})
 and consider a H\"older continuous function $\varphi\in\widetilde\FF({\alpha},q,\epsilon)$ on $\Delta_F$. 
Define the function $\psi_{V,\bar x^*}$ on $\Delta_{F,V}$ by
$$  
\psi_{V,\bar x^*}(x) 
=\sum_{i\in\Delta_{F,V}}\varphi(S^i(x, x^{*}|_{\hat{\Delta_{F,V}}})).
\eqno{ (4.7)}$$
Consider the $\z$-action equilibrium measure
 $\nu^{}_V$ corresponding to the function $\psi_{V,\bar x^*}$.
 We can view these measures as being supported 
on $\MM$. Let also $\mu_{\varphi}$ be the $\z^{d+1}$-action equilibrium 
measure corresponding to $\varphi$. This measure is concentrated
on $\Delta_F$ and thus can be viewed as being supported on $\MM$.
\medskip
{\bf Theorem 4.3.} {\sl There exists $c_0>0$
 such that if $0<\epsilon\leq c_0$ then $\mu_{\varphi}$
 is the limit (in the weak$^*$-topology) of
 equilibrium measures $\nu^{}_{V}$ as $V\to \z^{d+1}$.}
\medskip
{\bf Proof.} We consider only the case $d=1$.
 For $d >1$ the proof is the same. 
It is sufficient to prove the convergence of the measures 
$\nu^*_V=\nu_V\bar\pi$ to the measure $\mu^*=\mu_{\varphi^*}$
on the symbolic space $\otimes_\z \Sigma_A$ as $V\to \z^{2}$.

Let us fix a configuration $\bar\eta^*$ on $\z^2$. 
Given $n>0$ and $m>0$, consider the rectangle  
$V_{nm} =\{x=(i,j)\in\z^2 : |i|\le n, |j|\le m\}$ 
and define the Gibbs distribution on
$V_{nm}$ as follows: for any configuration $\bar\xi(V_{nm})$ we set
$$ 
\mu_{nm} (\bar\xi(V_{nm}))={\exp{\dt\sum_{x\in V_{nm}}}
\varphi\big(\tau^x(\bar\xi(V_{nm}) + \bar\eta^*(\hat V_{nm})\big)
\over{\dt\sum_{\bar\eta(V_{nm})}}\exp{\dt\sum_{x\in V_{nm}}} 
\varphi\big(\tau^x(\bar\eta(V_{nm}) +\bar\eta^*(\hat V_{nm})\big)},
\eqno{ (4.8)}$$
where $\bar\xi(V_{nm})$ is a configuration on $V_{nm}$. 
By the definition of a Gibbs state and the uniqueness of $\mu^*$
the measure $\mu^*$ is the limit of measures $\mu_{nm}$, 
i.e., for any finite volume $V\subset \z^2$,
$$
\mu^*(\xi(V))=\lim_{V_{nm}\to\z^2}\mu_{nm}(\xi(V)),
$$
where $V_{nm}$ converges to $\z^2$ in the sense of van Hove, i.e.,
for any fixed $a \in \z^2$
$$ 
\lim_{n \to \infty}{|\tau^a\big(V_{n m(n)}\big)\setminus V_{n m(n)}|
\over |V_{n m(n)}|} = 0.$$ 

We observe that for each $n>0$, there exists the limit $\nu_n^*=\lim_{m\to\infty}\mu_{nm}$ which is the $\z$-action Gibbs state for 
the function $\psi_{V_n,\eta^*}^*$ on $V_n=\otimes_{i=-n}^n \Sigma_A$.
Thus, for each fixed $n$ there exists $m(n)$ such that 
$$|\mu_{n m(n)}(\bar\xi(V))-\nu_n(\bar\xi(V))|\le {1\over n}$$
for every $V\subset V_{nm}$.
 Notice that $V_{nm(n)}\to\z^2$ in the sense of van Hove. 
This implies that $\lim_{n\to\infty}\nu_n=\lim_{n\to\infty}
\mu_{nm(n)}=\mu_\varphi$. \qedd
\medskip
\shead{4.4. Finite-Dimensional $\z$-Approximations II: Coupled Map Lattices}
\medskip 
We consider a coupled map lattice $(\Phi,S)$ in the space $(\MM,\rho_q)$ 
and define its finite-dimensional approximations as follows.
 
Fix a point $\bar x^*\in\Delta_\Phi$ ({\it the boundary condition}).
For any finite volume $V\subset\z^d$ consider the map on $M_{V}$   
$$
\big(\Phi_{V}(x)\big)_i=\big(\Phi((x,x^*|_{\hat V})\big)_i,
\eqno{(4.9)}$$
where $()_i$ denotes the coordinate at the lattice site $i$. One can see that 
if the perturbation is sufficiently small then $\Phi_{V}$ is a diffeomorphism 
of $M_{V}$. It can be written as $\Phi_{V}=G_{V}\circ F_{V}$, where $G_{V}$ 
is the restriction of $G$ to $M_{V}$:
$$
G_V(x)=G(F_{\hat V}(x^*|_{\hat V}),x).
\eqno{(4.10)}$$ 
Since the diffeomorphism $\Phi_{V}$ is closed to the diffeomorphism $F_V$ by 
the structural stability theorem it possesses a locally maximal hyperbolic set
which we denote by $\Delta_{\Phi,V}$. Moreover, there exists a conjugacy
homeomorphism $h_V : \Delta_{F,V}\to\Delta_{\Phi,V}$ which is close to identity.

The maps $\Phi_{V}$ and $h_V$ provide finite-dimensional approximations for 
the infinite-dimensional maps $\Phi$ and $h$ respectively. In order to 
describe this in a more explicit way we introduce the following maps:
$$
\tilde\Phi_V(\bar x)=(\Phi_V(\bar x|_V),\, F_{\hat V}(\bar x|_{\hat V})),\quad
\tilde h_V(\bar x)=(h_V(\bar x|_V), \,id_{\hat V}(\bar x|_{\hat V})).
$$
We denote by $d^{0}_q$ and $d^{1}_q$ the $C^0$ and respectively $C^1$ distances 
in the space of diffeomorphisms induced by the $\rho_q$-metric. We 
also use $d(0, \partial V)$ to denote the shortest distance from the origin 
of the lattice to the boundary of the set $V$.   
\medskip
{\bf Theorem 4.4.} {\sl  There exist constants $C>0$ and $\beta>0$ such that 
for any $V\subset V'\subset\z^d$, 

(1) $d^{1}_q(\Phi_V,\Phi_{V'})\le Ce^{-\beta d(0, \partial V)}$  and $\Phi_{V}\to\Phi$.

(2) $d^{0}_q(h_V,h_{V'})\le Ce^{-\beta d(0,\partial V)}$ and  $h_{V}\to h$.}
\medskip
{\bf Proof.} The first statement is obvious since $\Phi$ is short ranged.
The proof of the second statement is based upon arguments in the proof of
structural stability theorem (see Theorem 1.1). We recall that the conjugacy 
map $h$ is determined by a unique
fixed point for a contracting map $\KK$ acting in a ball $D_\gamma(0)$ of the Banach space $\Gamma^0(\Delta_F, T\MM)$ of all continuous vector fields on $\Delta_F$ (see (1.16)). 

In order to obtain the conjugacy map $h_V$ one needs to find a unique fixed point for a contracting map $\KK_V$ acting in $D_\gamma(0)$
by the formula similar to (1.16):
$$
\KK_V v=-((D\GG'_V)|_0-Id)^{-1}(\GG_V'v-(D\GG'_V)|_0 v),
$$
where $\GG'_V=\AA\circ\GG_V\circ\AA^{-1}$ (see (1.14)) and $\GG'_V\beta
=\tilde\Phi_V\circ\beta\circ F^{-1}$. One can show that the contracting 
constant of $\FF_V$ is uniform over $V$ 
and that $\FF_V$ converges exponentially fast to $\FF$. Therefore, the 
corresponding fixed point $h_{V}$ converges exponentially fast to $h$. \qedd
 
For a H\"older continuous function
 $\varphi\in\widetilde\FF({\alpha},q,\epsilon)$ on $\Delta_\Phi$
consider the function $\tilde\varphi=\varphi\circ h$ on $\Delta_F$, where 
$h : \Delta_{F}\to\Delta_{\Phi}$ is a conjugacy homeomorphism. Let 
$\tilde\nu_V$ be the $\z$-action equilibrium measure on $\Delta_{F,V}$
corresponding to the function $\tilde\psi_{V,\bar x^*}$
 which is determined by (4.7) with respect to the function $\tilde\varphi$.
Finally, we define the measure $\nu_V=(h_V^{-1})^*\circ\tilde\nu_V$ on $\Delta_{\Phi,V}$. It also can be considered 
as a measure on $\MM$. As a direct consequence of Theorem 4.3
we conclude that {\it if $\epsilon$ is sufficiently
small then the measure $\mu_{\varphi}$ is the limit 
(in the weak$^*$-topology) of the measures $\nu_{V}$ as $V\to \z^{d}$.}






\chead{V. Uniqueness and Mixing Properties of Sinai--Ruelle--Bowen (SRB)-Measures}{}

In this section we discuss existence, uniqueness, and mixing properties of
SRB-type measures for coupled map lattices. The first construction of these
measures appeared in [BuSi]. In [BK2],
 Bricmont and Kupiainen constructed these measures 
for general expanding circle maps. Their approach 
is based upon the study of the Perron--Frobenius operator.
 In [PS], Pesin and Sinai
developed another method for constructing SRB-type measures
 for coupled map lattices assuming that the local map 
possesses a hyperbolic attractor. 

In this section we develop a new approach and obtain stronger results under 
more general assumptions. 

Let $f$ be a $C^r$-diffeomorphism of a compact finite-dimensional manifold $M$ possessing a hyperbolic attractor $\Lambda$. The latter means that $\Lambda$ 
is a hyperbolic set and there exists an open neighborhood $U$ of $\Lambda$ 
such that $\bar{f(U)}\subset U$. In particular,
$\Lambda=\cap_{n>0}f^n(U)$ and is a locally maximal invariant set.
We assume that the map $f$ is topologically mixing. Then an SRB-measure $\mu$ 
on $\Lambda$ is unique and is characterized as follows: 

1) the restriction of $\mu$ on the unstable manifolds
 is absolutely continuous with respect to the Lebesgue measure; 

2) for any continuous function $g$ and almost all 
$x\in U$ with respect to the Lebesgue measure in $U$, 
$$
\lim_{n\to\infty}{1\over n}\sum^{n-1}_{k=0}g(f^k x)=\int gd\mu; 
\eqno{(5.1)}$$ 

3) $\mu$ is the unique equilibrium measure
 corresponding to the H\"older continuous function $\varphi^{u}(x)=-\log|\text{Jac}^u\,f(x)|$, where
$\text{Jac}^u\,f(x)$ denotes the Jacobian of $f$ at $x$ along
 the unstable
subspace.

In the infinite-dimensional case we construct a measure on $\Delta_\Phi$ 
which has similar properties. This is an SRB-type measure for the coupled 
map lattice. Our construction is based upon symbolic representations of the
finite-dimensional approximations of the lattice constructed in the previous
section.

Let $V\in\z^{d}$ be a finite volume. 
Consider the diffeomorphisms $F_V$ and $\Phi_V$.
 Since $\Phi_V$ is close to $F_V$ 
it has a hyperbolic attractor $\Delta_{\Phi,V}$.

Since we assume that the map $f$ is topologically mixing
 then so are the maps 
$F,\, \Phi, F_V$, and $\Phi_V$. Therefore,
 the map $\Phi_V$ possesses the 
unique SRB-measure $\mu_V$ that is supported on $\Delta_{\Phi,V}$. This 
measure is the unique equilibrium measure corresponding to
 the H\"older continuous function
 $\varphi^{u}_V(x)=-\log|\text{Jac}^u\,\Phi_V(x)|$,
 where $\text{Jac}^u\,\Phi_V(x)$ is
 the Jacobian of the map $\Phi_V$ at $x$ along 
the unstable subspace. We can consider
 the measure $\mu_V$ to be supported 
on the compact space $(\MM,\rho_q)$. Our main result is the following.
\medskip
{\bf Theorem 5.1.} {\sl The SRB-measures $\mu_V$ weak$^*$ converge to
a measure on $\MM$ which is an equilibrium measure corresponding to a H\"older 
continuous function on $\MM$ and is mixing. Furthermore, the correlation functions decay exponentially for every   continuous function on $\MM$ satisfying the assumptions of Theorem 3.1.}
\medskip
{\bf Remarks.} 

(1) It is clear that for an uncoupled map lattice the SRB 
measures $\mu^{}_V$ converge to the measure $\otimes_{i\in\z^d}\mu_f$ which 
is the equilibrium measure for the potential function $-\log |Jac^u f(x)|$. 
The potential function for the SRB measure in Theorem 5.1 is a small perturbation of $-\log |Jac^u f(x)|$. Its precise description is given by 
(5.15).
  
(2) We follow the approach suggested in [BK2], [BK3]. We thank J. Bricmont who suggested to use the formula (5.8) to expand the Jacobian. 

(3) To avoid some technical obstacles we assume that $f$ is an Anosov map. 
In this case $\Delta_{\Phi_V}=\Delta_{F_V}=\MM$.

(4) There is another approach to prove existence of SRB-type measures
suggested in [PS]. It is based on a rather detailed analysis of conditional
measures generated on the unstable manifolds. One can show that these
conditional measures determine the SRB measure in the unique way.
\medskip
{\bf Proof of the theorem.} Let $\pi_V=\otimes_{i\in V}\pi_i$ be the semi-conjugacy map
between the symbolic dynamical system $(\sigma_t, \otimes_{i\in V}\Sigma_A)$ 
and $(F_V,\MM_V)$ (here $\pi_i$ are copies of the coding map $\pi$). Define 
the measure $\nu_{V}$ on $\Sigma_A^V=\otimes_{i\in V}\Sigma_A$ by the 
following relation $\mu_{V}=(h_{V}\pi_{V})^*\nu_{V}$.  It is easy to see 
that the following statement holds.
\medskip     
{\bf Lemma 1.} {\sl The measures $\mu_{V}$ weak$^*$
 converge to a measure on $\MM$ if the measures
$\nu_{V}$ weak$^*$ converge to a measure on $\Sigma_A^{\z^d}$ as $V\to\z^d$.}

The desired result is now a consequence of Lemma 1 and the following lemma.
\medskip
{\bf Lemma 2.} {\sl The measures $\nu^{}_V$ weak$^*$ converge to a
measure on the $(d+1)$-dimensional lattice spin system $\Sigma_A^{\z^d}$ 
which is the unique Gibbs state for a H\"older continuous function. It is 
also exponentially mixing with respect to
 the $\z^{d+1}$-action of the lattice.}
\medskip
{\bf Proof of the lemma.} Note that the measure $\nu_V$ is 
the unique Gibbs state for the H\"older continuous function 
$$
\varphi_V(\xi_V)=-\log\text{Jac}^u\Phi_V(h_V\pi_V(\xi_V)) 
\eqno{(5.2)}$$ 
on $\Sigma_A^V$. We express the Jacobian $\text{Jac}^u\Phi_V(x_V),\, x_V\in M_V$ as a product
$$
\text{Jac}^u\Phi_V(x_V)=\det(D\Phi_V |{W^u_{\Phi_V}(x_V)})=
\det(I + A_V(x_V)) \big( \prod_{i \in V}\text{Jac}^uf(x_i)\big),
\eqno{(5.3)}$$ 
where $I$ is the identity matrix and $A_V$ is a matrix whose entries are submatrices satisfying some special properties which we specify later.   

Let $E^u_{\Phi_V}(x_V)$ be the unstable subspace at $x_V$ for the map 
$\Phi_V$. One can see that $E^u_{\Phi_V}(x_V) $ is close to the direct product
$\otimes_{i\in V}E^u_f(x_i)$. We choose a basis 
$\{{\bf u}_i(x_i),\,{\bf s}_i(x_i), \,i\in V \}$ in the space 
$$\otimes_{i\in V}T_{x_i}M =\bigl(\otimes_{i \in V} E^u_f(x_i)\bigr)\otimes\bigl(\otimes_{i\in V}E^s_f(x_i)\bigr)$$ 
such that ${\bf u}_i(x_i)$ and ${\bf s}_i(x_i)$ are bases in $E^u_f(x_i)$ and $E^s_f(x_i)$ respectively, and we assume that they depend H\"older continuously on the base point $x_V$. The derivative $D\Phi_V(x_V)$ can now 
be written as follows:
$$
D\Phi_V(x_V) =\pmatrix{ (D^uf(x_i)) &0\cr
                                 0& (D^sf(x_i)) \cr}
\left(I + 
\pmatrix{ {\bf a}^{uu}_{ij}(x_V) & {\bf a}^{us}_{ij}(x_V)\cr 
{\bf a}^{su}_{ij}(x_V) &{\bf a}^{ss}_{ij}(x_V)\cr}\right).
\eqno{(5.4)}$$ 
where we arrange the elements of the basis 
$\{{\bf u}_i(x_i), \,{\bf s}_i(x_i),\,i\in V \}$
in an arbitrary linear order, ${\bf u}_i$ first, followed by ${\bf s}_i$.
Since $\Phi$ is $C^1$-close to $F$ and is short ranged 
the submatrices $({\bf a}^{*}_{ij}(x_V) )$ satisfy the following conditions 
(we use ${}^*$ to denote one of the symbols $uu, us, su,$ or $ss$): 

(1) $ \| ({\bf a}^{*}_{ij}(x_V) )\| \le \epsilon e^{ -\beta |i -j| }$, 
where $|i-j|$ is the distance between 
the lattice sites $i$ and $j$ and constants $\epsilon >0$
 and $\beta >0$ are independent of the volume $V$ as well as 
of the base point $x_V$; 

(2) each submatrix ${\bf a}^{*}_{ij}(x_V)$ depends H\"older continuously on $x_V$:
$$ 
\|{\bf a}^{*}_{ij}(x_V)-{\bf a}^{*}_{ij}(y_V)\|\le\epsilon e^{ -\beta |i -k| }d^\delta(x_k, y_k),
\eqno{(5.5)}$$ 
where $x_V=(x_i)$ and $y_V=(y_i)$ are such that $x_i=y_i$ for $i\not= k$
(recall that $d$ is the Riemannian distance on $M$). 

The constant $\epsilon >0$ can be chosen arbitrarily small as the 
$C^1$-distance between $\Phi$ and $F$ goes to zero. The constant $\delta$ is independent of the volume $V$ and the base point $x_V$.

Using the graph transform technique one can identify the unstable
subspace $E^u_{\Phi_V} (x_V)$ with the graph of a linear map 
$H_{x_V}: \otimes_{i \in V} E^u_f(x_i) \to \otimes_{i \in V} E^s_f(x_i)$, i.e.,
$$
E^u_{\Phi_V}(x_V)=(\otimes_{i \in V}E^u_f(x_i),\, H_{x_V}\otimes_{i \in V}E^u_f(x_i)).\eqno{(5.6)}$$
The linear map $H_{x_V}$ has a unique matrix representation 
$({\bf c}^{us}_{ij})$ in the basis $\{{\bf u_i}(x_i), \,{\bf s}_i(x_i)\}$
$$
H_{x_V}{\bf u}_i(x_i)= \sum_j {\bf c}^{us}_{ij} {\bf s}_j(x_j),
\eqno{(5.7)}$$
where each submatrix ${\bf c}^{us}_{ij}$ satisfies conditions similar to Conditions (1) and (2):
\item{(3)} $\|{\bf c}^{us}_{ij}\|\le\epsilon e^{ -\beta |i -j| }$;
\item{(4)} $\|{\bf c}^{us}_{ij}(x_V)-{\bf c}^{us}_{ij}(y_V)\|
\le\epsilon e^{-\beta |i-k|}d^\delta(x_k, y_k)$,
where $x_V=(x_i)$ and $y_V=(y_i)$ are such that $x_i=y_i$ for $i\not= k$.

In order to prove Condition (3) one can use the graph transform
technique in the form described in [JLP] and combine it with the fact 
that the linear map $H_{x_V}$ is short ranged. Condition (4) follows 
from the fact that distributions
$E^u_{\Phi_V}(x_V),\,\otimes_{i\in V}E^u_f(x_i)$, and 
$\otimes_{i\in V}E^s_f(x_i)$ depend H\"older continuously over the base point $x_V$.
\medskip
Moreover, the entries ${\bf c}^{us}_{ij}$ satisfy the following crucial condition which allows one to pass from a finite volume to a bigger one:
\item{(5)} $\|{\bf c}^{us}_{ij}(x_V)-{\bf c}^{us}_{ij}(y_{V'}) 
\|\le\epsilon e^{-\beta d(i,\partial V)}$ for any finite volume 
$V\subset V'$ and any point $y_{V'}$ satisfying $y_{V'}|_V = x_V$.

In order to prove (5), we apply graph transform technique to the
map $\Phi_{V'}$ on $M_{V'}$ with the $\rho_q$-metric restricted
to  $M_{V'}$. Note that the $\rho_q$-distance between $\Phi_{V'}$ and
$\Phi_V\otimes F_{V'\setminus V}$ is proportional to 
$\epsilon e^{-\beta d(V)}$. Therefore, using results in [PS] we obtain that
the $\rho_q$-distance between subspaces 
$E^{u,s}_{\Phi_V'}(x_V')$ and 
$E^{u,s}_{\Phi_V}(x_V)\otimes_{i\in V\setminus V}E^{u,s}_f(y_i)$
is also proportional to $\epsilon e^{-\beta d(V)}$. Hence, so is the 
$\rho_q$-distance between linear operators $H_{x_{V'}}$ and $H_{x_V}$.
This implies (5).

We choose $\{\tilde{\bf u}_i \} = \{ {\bf u}_i + H{\bf u_i} \}= \{ {\bf u}_i + 
\sum_j {\bf c}^{us}_{ij} {\bf s}_j \}$ as a basis in $E^u_{\Phi_V} (x_V)$
and we write the derivative $D\Phi|E^u_{\Phi_V} (x_V)$ in the new basis 
$\{\tilde{\bf u}_i,{\bf s}_i, i\in V\}$ into the following matrix form:
$$
D\Phi|E^u_{\Phi_V} (x_V)=(D^uf(x_i))(I +{\bf a}^{uu}_{ij}(x_V)) + 
({\bf a}^{us}_{ij}(x_V))( {\bf c}^{us}_{ij}(x_V)).
$$
The latter expression can be rewritten in the form 
$$ 
(D^uf(x_i))(I+({\bf a}_{ij}(x_V))),
$$
where $A_V(x_v)=({\bf a}_{ij}(x_V))$ is the matrix whose submatrix entries 
${\bf a}_{ij}(x_V)$ satisfy the following conditions (which follow immediately from (1)--(5)):

(6) $\|{\bf a}_{ij}\| \le \epsilon e^{ -\beta |i -j| }$;

(7) $\|{\bf a}_{ij}(x_V)-{\bf a}_{ij}(y_V)\|\le
\epsilon e^{-\beta |i-k|} d^\delta(x_k, y_k)$, 
where $x_V=(x_i)$ and $y_V=(y_i)$ are such that $x_i=y_i$ for $i\not= k$.
 
(8) $\|{\bf a}_{ij}(x_V) - {\bf a}_{ij}(y_{V'}) 
 \| \le \epsilon e^{ -\beta d (i, \partial V)}$ for any $V \subset V'$.

Next, we apply the well-known formula:
$$
\det(\exp(B))=\exp (\trace (B)).
$$ 
In our case, $\exp(B) = I + A_V(x_V)$ and hence,
$$
\det(I+A_V) = \exp( \trace(\ln(I + A_V))=\exp(- \sum_{i\in V}  w_{Vi}), \eqno{(5.8)}$$ 
where
$$
w_{Vi}(x_V) =\sum_{n=1}^\infty{(-1)^n \over n }\trace({\bf a}^n_{ii}(x_V))
\eqno{(5.9)}$$
and ${\bf a}^n_{ii}(x_V)$ are submatrices on the main diagonal of $(A_V)^n$.
\medskip
{\bf Sublemma.} The functions $w_{Vi}(x_V)$ satisfy:

(1) $|w_{Vi}(x_V)|\le C\epsilon$;

(2) $|w_{Vi}(x_V)-w_{Vi}(y_V)|\le C\epsilon\exp(-{\beta \over 2}|i-k|) 
d^\delta( x_k, y_k)$, 
where $x_V=(x_i)$ and $y_V=(y_i)$ are such that $x_i=y_i$ for $i\not= k$;

(3) if $V\subset V'$ then $|w_{Vi}(x) - w_{V'i}(y)| 
\le C\epsilon \exp(-{\beta \over 2} d(i, \partial V) )$;

(4) there exists the limit $\varphi_i=\lim_{V \to \z^d} w_{Vi}(x)$ which is
translation invariant in the following sense: $\varphi_i(\bar x)=\varphi_0(\sigma_s^i\bar x)$. Moreover, $\varphi_0$ is H\"older continuous
with H\"older constant which goes to zero as $\epsilon \to 0$.
\medskip
{\bf Proof of the sublemma.} The proof is a straightforward  calculation.
 We first  show the following inequality 
$$ 
\| {\bf a}^n_{ij} \| \le (C \epsilon )^n e^{ - \tilde \beta |i-j| },
\eqno{(5.10)}$$
where $\tilde\beta $ is a number smaller than $\beta$ 
and $C=C(\tilde\beta)$ is a constant.

We use the induction. For $n=2$ we have
$$  
\|{\bf a}^2_{ij}\|=\|\sum_{l\in V}{\bf a}_{il}{\bf a}_{lj}\|
\le\sum_{l\in V}\epsilon^2\exp(-\beta(|i-l|+|l-j|))
$$
$$\le \sum_{l \in V} \epsilon^2 \exp( -\tilde\beta(|i-l| + |l-j|) - 
(\beta-\tilde\beta)|l-j|)
$$
$$
\le\epsilon^2 e^{-\tilde\beta |i-j|}\sum_{l\in V}\exp(-(\beta-\tilde\beta)|l-j|)
\le C\epsilon^2 e^{-\tilde \beta |i-j| },
\eqno{(5.11)}$$
where $C= C(\tilde\beta)=\sum_{l\in \z^d}\exp(-(\beta-\tilde\beta)|l|)$.                   

Let us assume that $\| {\bf a}^{n-1}_{ij} \| 
\le C^{n-2}\epsilon^{n-1} \exp( - \tilde\beta |i-j|).$
Then
$$ \|{\bf a}^n_{ij} \|=
 \|  \sum_{l \in V} {\bf a}^{n-1}_{il} {\bf a}_{lj} \|
\le \sum_{l \in V}C^{n-2} \epsilon^n \exp( -\tilde\beta(|i-l| + |l-j|) - 
(\beta-\tilde\beta)|l-j| )$$
$$ \le C^{n-1}\epsilon^n \exp( - \tilde\beta |i-j|).\eqno{(5.12)}$$
Therefore, Statement 1 follows directly from the definition of $w_{Vi}$.

To prove Statement 2 we need only to show the following inequality:
$$ 
\|{\bf a}^n_{ij}(x_V) -{\bf a}^n_{ij}(y_V)\|
\le (C \epsilon)^n e^{-{\beta \over 2}|i-k|} d^\delta(x_k ,y_k),
$$
where $x_V=(x_i)$ and $y_V=(y_i)$ are such that $x_i=y_i$ for $i\not= k$.
We again use the induction. For $n=2$,
$$
\|{\bf a}^2_{ij}(x_V) -{\bf a}^2_{ij}(y_V)\|
=\sum_{l\in V} {\bf a}_{il}(x_V) {\bf a}_{lj}(x_V) 
-{\bf a}_{il}(y_V) {\bf a}_{lj}(y_V) 
$$
$$
=\sum_{l\in V}{\bf a}_{il}(x_V) [{\bf a}_{lj}(x_V) -{\bf a}_{lj}(y_V)] 
+ {\bf a}_{lj}(y_V) [{\bf a}_{il}(x_V) -{\bf a}_{il}(y_V)] 
$$
$$
\le \sum_{l\in V} \epsilon^2 [\exp( -\beta (|l-k| + |i-l|))
+\exp( -\beta (|l-j| + |i-k|)) ]d^\delta(x_k, y_k) 
$$
$$
\le C \epsilon^2 \exp( - {\beta \over 2}|i-k|) d^\delta(x_k, y_k),
\eqno{(5.13)}$$
where $C=2\sum_{l\in \z^d}\exp(-{\beta \over 2}|l|)$.

For $n>2$ we argue similarly using Statement (1):
$$
\| {\bf a}^n_{ij}(x_V) -{\bf a}^n_{ij}(y_V)\|
= \sum_{l\in V} {\bf a}^{n-1}_{il}(x_V) {\bf a}_{lj}(x_V) 
-  {\bf a}^{n-1}_{il}(y_V) {\bf a}_{lj}(y_V) 
$$
$$
= \sum_{l\in V} {\bf a}^{n-1}_{il}(x_V) [{\bf a}_{lj}(x_V) -{\bf a}_{lj}(y_V)] 
+ {\bf a}_{lj}(y_V) [{\bf a}^{n-1}_{il}(x_V) -{\bf a}^{n-1}_{il}(y_V)] 
$$
$$
\le \sum_{l\in V} (C\epsilon)^{n-1} \epsilon \exp( - {\beta\over 2}|i-l|
-\beta |l-k| - \beta |l-j| - {\beta\over 2}|i-k| )d^\delta(x_k,y_k)
$$
$$
\le (C\epsilon)^n \exp( - {\beta \over 2} |i-k|) 
d^\delta(x_k, y_k).\eqno{(5.14)}
$$
Statement 3 follows from Condition (8) while Statement 4 is a consequence of 
Statements 2 and  3 and our assumption that the map $\Phi$ is spatial translation invariant. \qedd
\medskip
We proceed with the proof of the theorem. Let $V$ be a $d$-dimensional cube centered at the origin. Choose any finite volume $V_0\subset V$ and numbers
$0<m<n$. We have that 
$$
\nu_V(\xi_{(V_0,m)})=
\lim_{n\to\infty}\nu_V(\xi_{(V_0,m)}|\eta^*_{\hat{(V,n)}}).
$$ 
In order to obtain the desired result we shall show that 
the one-dimensional Gibbs distributions 
$\nu_V(\xi_{(V, n)}|\eta^*_{\hat{(V,n)}})$ has a unique thermodynamic limit
as $V\to\z^{d+1}$ and $n\to\infty$. This thermodynamic limit is precisely
the unique $ d+1$-Gibbs state for the potential function  
$$
\varphi(\bar\xi)=(\varphi_0-\log\text{Jac}^uf)(h\bar\pi(\bar\xi))
\eqno{(5.15)}$$
on $\Sigma_A^{\z^d}$. 

Note that the function $\varphi$ is the sum of two functions,
$\varphi=\tilde\varphi_0 + \varphi_1$, where $\tilde\varphi_0=\varphi_0-\log\text{Jac}^uf\circ h\circ\bar\pi + 
\log\text{Jac}^uf\circ\bar\pi$ and $\varphi_1=-\log\text{Jac}^uf\circ\bar\pi$.
By Statements 1, 2, and 4 of Sublemma and Theorem 1.1 the function $\tilde\varphi_0$ is H\"older continuous with a small H\"older constant 
in the metric $\rho_q$ provided $\epsilon$ is sufficiently small.
The function $\varphi_1$ is also H\"older continuous and depends only 
on the coordinate $\xi_0$. Therefore, by Theorem 3.7 the Gibbs state corresponding to this function is unique.  

Since the measure $\nu_V$ is 
the unique Gibbs state for the H\"older continuous function 
$\varphi_V(\xi_V)$ on $\Sigma_A^V$ (see (5.2)) it satisfies the following equation [Ru]: given a configuration $\eta^*\in\Sigma_A^{\z^d}$,
$$
\nu_V(\xi_{(V, n)}|\eta^*_{\hat{(V,n)}})
={\exp\sum_{k\in\z}\varphi_V(\sigma_t^k(\xi_{(V, n)}+\eta^*_{\hat{(V,n)}}))
\over\sum_{\eta_{(V, n)}}\exp\sum_{k\in\z}\varphi_V(\sigma_t^k(\eta_{(V, n)}+\eta^*_{\hat{(V,n)}})},
\eqno{(5.16)}$$ 
where $\xi_{(V, n)}$ is a configuration over the finite volume $(V,n)=V\times [-n, n]\subset \z^{d+1}$, and $\eta^*_{\hat{(V,n)}}$ is the restriction of the configuration $\eta^*$ to $\hat{(V,n)}=\z^{d+1}\backslash V\times [-n,n]$.

Using (5.3) and (5.8) we rewrite (5.16) in the following way 
$$ 
\nu_V(\xi_{(V,n)}|\eta^*_{\hat{(V,n)}})=
{\exp\sum_{k\in\z}\varphi_V(h_V\pi_V\sigma_t^k(\xi_{(V, n)}
+\eta^*_{\hat{(V,n)}}))
\over\sum_{\eta_{(V, n)}}\exp\sum_{k\in\z} 
\varphi_V(h_V\pi_V\sigma_t^k(\eta_{(V, n)}+\eta^*_{\hat{(V,n)}}))}
$$
$$
={\exp\sum_{k\in\z}\sum_{i\in V}(w_{Vi}-\log\text{Jac}^uf)
(h_V\pi_V\sigma_t^k(\xi_{(V,n)}+\eta^*_{\hat{(V,n)}}))
\over\sum_{\eta_{(V, n)}}\exp\sum_{k\in\z} 
\sum_{i\in V}(w_{Vi}-\log\text{Jac}^uf)(h_V\pi_V\sigma_t^k
(\eta_{(V, n)}+\eta^*_{\hat{(V,n)}}))}.
$$

The rest of the proof is split into the following steps.
\medskip
{\bf Step 1:} We wish to rewrite the last expression for the conditional 
distributions $\nu_V(\xi_{(V,n)}|\eta^*_{\hat{(V,n)}})$ in terms of 
potentials (see Section 3). The potential $U$ corresponding to the function 
$(\varphi_0-\log\text{Jac}^uf)(h\bar\pi)$ can be constructed using
(3.9)--(3.12). 

Given a finite volume $V$ and $i\in V$, consider the function $(w_{Vi}-\log\text{Jac}^uf)(h_V\pi_V)$. In order to construct the potential $U^{Vi}$ corresponding to this function we again follow the procedure described in Section 3 and use $(w_{Vi}-\log\text{Jac}^uf)(h_V\pi_V)$ for each $\z^{d+1}$-cube centered at $(i,k) \in V \times \z$. Not that the resulting potential is invariant under time translations but may not be invariant under
spatial translations.
\medskip
{\bf Step 2:} We now rewrite the distributions $\nu^{}_V(\xi_{(V,n)} | \eta^*_{\hat{(V,n)}} )$ in terms of potentials $U^{Vi}$:
$$
\nu^{}_V(\xi_{(V,n)} | \eta^*_{\hat{(V,n)}})
={\exp\sum_{Q\cap (V,n)\not=\emptyset}
U_Q^{Vi}(\xi_{(V,n)}+\eta^*_{\hat{(V,n)}})
\over 
\sum_{\eta_{(V,n)}} \exp \sum_{ Q \cap (V,n) \not= \emptyset} U_Q^{Vi}( \eta_{(V,n)}+\eta^*_{\hat{(V,n)}} )}.
\eqno(5.17)$$
\medskip
{\bf Step 3:} By Statement 3 of Sublemma $w^{}_{Vi}\to\varphi_i =\varphi_0(\sigma_s^i)$ 
exponentially fast. Using the fact that $h_V\to h$ exponentially fast in the $\rho_q$-metric (see Theorem 4.4) we obtain that for any $\z^{d+1}$-cube $Q$
centered at $(i,k) \in V \times \z$  
$$|U^{Vi}(\xi(Q)) - U(\xi(Q))| \le C \epsilon e^{- \beta d( i, \partial V)}.
\eqno(5.18)$$
By Statement 2 of Sublemma both potentials $U^{Vi}|_Q$ and $U|_Q$ go to zero exponentially fast as the side length of $Q$ increases.  
\medskip
{\bf Step 4:} Take a larger volume $(V', n')\subset \z^{d+1}$ such that $(V,n) \subset (V'/2, n'/2)$ where ${V'/2}$ is the $d$-dimensional cube centered at 
the origin of the side length equal to ${1/2}$ of the side length of $V$. 
We follow the approach elaborated by Ruelle in [Ru] (see Section 1.7).
(For the reader's convenience we provide the correspondence between Ruelle's notations and ours: $M=(V',n')$, $\Lambda=(V,n)$, $X=Q$, and $\Phi=U^{Vi}, U$). 

We first decompose the numerator of (5.17) (for volume $(V',n')$) into two terms. 
$$
\exp\sum_{Q\cap (V',n')\not=\emptyset}
U_Q^{Vi}(\xi_{(V,n)}+\eta^*_{\hat{(V,n)}})
=\exp\left(H_{(V,n)}(\xi_{(V,n)})+B_{(V',n')}(\xi_{(V',n')})\right),
$$
where the {\it main} term $H_{(V,n)}(\xi_{(V,n)})$,
the Hamiltonian in volume $(V,n)$,  is given by
$$
H_{(V,n)}(\xi_{(V,n)})=\sum_{Q\subset (V,n)}
U_Q(\xi_{(V,n)}+\eta^*_{\hat{(V,n)}})
$$
while the {\it boundary} term is given as follows:
$$ 
B_{(V',n')}(\xi_{(V',n')})=\sum_{Q\cap{(V',n')}\not=\emptyset}
U^{V'i}_Q( \xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}}) 
-U_Q( \xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}}) 
$$
$$
+\sum_{{Q\cap{(V',n')}\not=\emptyset\atop Q\cap\hat{{(V',n')}}\not=\emptyset}}
U_Q( \xi_{(V',n')}+\eta^*_{\hat{M}}).
$$
By (5.17) and results in [Ru] (see Section 1.6) we now only need to verify
that the boundary term satisfies the conditions stated in section 1.7 of [Ru]. 

We first split $B_{(V',n')}(\xi_{(V',n')})$ into two terms
$B_{(V',n')}(\xi_{(V',n')})=B'(\eta)+ B''(\xi_{(V,n)}+\eta )$, where $\xi_{(V',n')}=\xi_{(V,n)}+\eta$ and
$B'(\eta)$ collects the terms depending only on
$\eta\in\Omega_{{(V',n')}\setminus (V,n)}$, i.e., 
$$
B'(\eta) =\sum_{{X\cap {(V',n')}\not=\emptyset\atop Q\cap {(V,n)} =\emptyset}}
\left(U^{V'i}_Q(\xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}})- U_Q(\xi_{(V',n')}+ \eta^*_{\hat{{(V',n')}}})\right)
$$
$$
+\sum_Q\!{}^* U_Q( \xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}})
$$
while the second term is given as follows: 
$$ 
B''(\xi_\Lambda+\eta ) =\sum_{Q \cap {(V,n)}\not=\emptyset}
\left(U^{V'i}_Q(\xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}})-U_Q(\xi_{(V',n')}+ \eta^*_{\hat{{(V',n')}}})\right)
$$
$$
+\sum_Q\!{}^{**}U_Q(\xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}}).
$$
Here $\sum_Q^*$ runs over $\{ Q: Q \cap {(V',n')} \not= \emptyset, 
Q \cap \hat{{(V',n')}} \not= \emptyset, Q \cap \Lambda = \emptyset \}$
and $\sum_Q^{**}$ runs over $\{ Q: Q \cap {(V',n')} \not= \emptyset, 
Q \cap \hat{{(V',n')}} \not= \emptyset, Q \cap \Lambda \not= \emptyset \}$.

According to [Ru] in order to show that the thermodynamic limit of
$\nu^{}_V(\xi_{(V,n)}|\eta^*_{\hat{(V,n)}} )$
goes to a $\z^{d+1}$-Gibbs state of $U$, we only need to check
that for any fixed ${(V,n)}$, $B''(\xi_{(V,n)}+\eta )$ as
a function of $\eta\in\Omega_{{(V',n')}\setminus {(V,n)}}$
goes to zero uniformly in $\Omega_{{(V',n')}\setminus {(V,n)}}$
as ${(V',n')}\to\z^{d+1}$.
The second sum in $B''$, $\sum_Q^{**}$, goes to zero uniformly since the potential $U$ decays exponentially.
The first sum in $B''$ can be further decomposed into
two sums. Let $(i(Q), k(Q)) \in \z^{d+1}$ denote the center of $Q$. We may
assume that $(V', n')$ is a $\z^{d+1}$-cube with equal sides.  Then,
$$ 
\sum_{Q \cap {(V,n)} \not=\emptyset }
 U^{V'i}_Q( \xi_{(V',n')}+ \eta^*_{\hat{{(V',n')}}}) -  U_Q( \xi_{(V',n')}+ \eta^*_{\hat{{(V',n')}}})
$$
$$
=(\sum_{ i(Q) \in {(V',n')}/2 \atop Q \cap {(V,n)}\not=\emptyset}
+\sum_{ i(Q) \not\in {(V',n')}/2 \atop Q \cap {(V,n)}\not=\emptyset}) 
U^{V'i}_Q( \xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}})-U_Q( \xi_{(V',n')}+ \eta^*_{\hat{{(V',n')}}}).
$$
By (5.18) we have  
$$
|\sum_{ i(Q) \in {(V',n')}/2 \atop Q\cap {(V,n)}\not=\emptyset}
U^{V'i}_Q( \xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}})-U_Q(\xi_{(V',n')}+ \eta^*_{\hat{{(V',n')}}})|
$$
$$
\le C'\varepsilon |{(V,n)}| |{(V',n')}/2| e^{-\beta d({(V',n')}) },
$$
where $|{(V,n)}|$ and $|{(V',n')}/2|$ are the cardinalities of
the corresponding sets and $d({(V',n')})$ is the side length of ${(V',n')}$.   The sum 
$$
\sum_{i(Q) \not\in {(V',n')}/2 \atop Q \cap {(V,n)}\not=\emptyset} 
U^{V'i}_Q( \xi_{(V',n')}+\eta^*_{\hat{{(V',n')}}})-U_Q( \xi_{(V',n')}+ \eta^*_{\hat{{(V',n')}}})
$$
also goes to zero uniformly as $d({(V',n')}) \to \infty$ since both
potentials $U^{V'i}$ and $U$ go to zero exponentially fast as 
$d({(V',n')}) \to \infty$. 

This completes the proof of the theorem. \qedd
 



%%%%%%%%%%%%% Input Polymer.tex %%%%%%%%%%%%%%%%%%%%%%%%%%
   
\def\ds{\displaystyle}
\def\hd{{d \over 2}}
\def\V{\!{{} \atop \scriptstyle{V}}}
\def\Q{\!{{} \atop \scriptstyle{Q}}}
\def\sb{\sqrt{\beta}}
\def\cl{\{L_j\}}
\def\sL{{\cal L}}
\def\pg{[\th_i^{\a_i}]}
\def\p{\partial}
\def\f1{{2 \over 3}}
\def\se{\sqrt{\e} }
\def\hat{\widehat}
\def\expp#1{\hbox{\rm exp } \left[ {#1} \right]}

\font\eightrm=cmr8
\def\8rm{\eightrm}


\def\dist{\hbox {\8rm dist}}

\def\a{\alpha}
\def\b{\beta}
\def\g{\gamma}
\def\G{\Gamma}
\def\bG{\bar \Gamma}
\def\bg{\bar \gamma}
\def\d{\delta}
\def\e{\varepsilon}
\def\L{\Lambda}
\def\l{\lambda}
\def\o{\omega}
\def\bO{\bar \Omega}
\def\O{\Omega}
\def\bwp{\bar \wp}
\def\r{\rho}
\def\s{\eta}
\def\t{\tau}
\def\Th{\Theta}
\def\th{\theta}
\def\bfe{{\bf e}}

\chead{Appendix:  Spin Lattice Systems}{}
  
{\bf 1. Abstract Polymer Expansion Theorem } 
\medskip
Consider a finite or countable set $\Th$. Its elements are called
(abstract) {\it contours} and denoted by $\th,\th'$, etc. Fix some reflexive
and symmetric relation on $\Th\times\Th$.  A pair $\th,\th' \in
\Th\times\Th$ is called incompatible ($\th\not\sim\th'$) if it belongs to
the given relation. Otherwise, this pair is called compatible ($\th\sim\th'$).  
A collection $\{\th_j\}$ is called a {\it compatible collection of contours} 
if any two of its elements are compatible.
  A {\it statistical weight} is a complex 
 function on the set of contours. For any finite subset 
$\L\subseteq\Th$ an {\it abstract partition function} is defined as
$$
Z(\L)=\sum_{\{\th_j\}\subseteq\L}\prod_j w(\th_j), 
\eqno{(A.1 .1)}$$
where the sum is extended to all compatible collections of contours
$\th_i\in\L$.  The empty collection is compatible by definition and it is
included in $Z(\L)$ with statistical weight $1$.

A {\it polymer} $\wp=\pg$ is an (unordered) finite collection of different
contours $\th_i \in \Th$   with positive integer multiplicity
$\a_i$.  For  every pair $\th',\ \th'' \in \wp $ there exists a
sequence $\th'=\th_{i_1},\ \th_{i_2},\ldots, \th_{i_s}=\th'' \in \wp$ with
$\th_{i_j}\not\sim\th_{i_{j+1}},\ j=1,2,\ldots,s-1$. The notation
$\wp\subseteq \L$ means that $\th_i \in \L$ for every $\th_i \in \wp$.

With every polymer $\wp$ we associate an (abstract) graph $\G(\wp)$ which
consists of $\sum_i \a_i$ vertices labeled by the contours from $\wp$ and 
edges joining every two vertices labeled by incompatible contours. It
follows from the definition of $\G(\wp)$ that it is connected and we
denote by $r(\wp)$ the quantity
$$
r(\wp)=\prod_i (\a_i!)^{-1} \sum_{\G' \subset \G(\wp)} (-1)^{|\G'|},
\eqno{(A.1 .2)}$$
where the sum is taken over all connected subgraphs $\G'$ of $\G(\wp)$
containing all of $\sum_i \a_i$ vertices and $|\G'|$ denotes
the number of edges in $\G'$. For any $\th \in \wp$ we denote by
$\a(\th,\wp)$ the multiplicity of $\th$ in the polymer $\wp$.

The polymer expansion theorem below is a modification of results of [Se]
and [KP] proven in [MSu] (see also [D2] for close results).

{\bf Abstract Polymer Expansion Theorem } {\sl (1)  Suppose that there exists 
a function $a(\th):\ \Th\mapsto {\real}^{+}$ such that for any contour $\th$
$$
\sum_{\th':\ \th'\not\sim\th} |w(\th')| e^{a(\th')} \le
a(\th).\eqno{(A.1 .3)}
$$ 
Then, for any finite $\L$, 
$$
\log Z(\L)=\sum_{\wp\subseteq\L} w(\wp), 
\eqno{(A.1 .4)}$$
where the statistical weight of a polymer $\wp=\pg$ equals to
$$
w(\wp)=r(\wp) \prod_i w(\th_i)^{\a_i}.  
\eqno{(A.1 .5)}$$
Moreover, the series (A.1 .4) converges absolutely in view of the estimate
$$
\sum_{\wp:\ \wp\ni\th} \a(\th,\wp) |w(\wp)| \le 
|w(\th)| e^{a(\th)}, 
\eqno{(A.1.6)}$$
which holds true for any contour $\th$.}
\medskip
{\bf 2. Gibbs States}
\medskip
Let $S=\{1, 2, \cdots, p\}$ and $A$ be a $p\times p$ transfer matrix with entries $a_{ij}$ equal to either 0 or 1. Assume that $A$ is transitive, i.e.,
there is a constant $n_0$ such that every entry of $A^{n_0}$ is positive.
For any volume $V \subseteq \z^{2}$ a {\it
configuration} in $V$ is an element $\s(V)$ of $S^V$ with the value $\s_x(V)$ 
at point $x =(i,j) \in V$. A configuration $\s$ is called admissible if $a_{\s_{x_1}\s_{x_2} }=1$ for any pair $x_1=(i,j) , x_2=(i, j+1) \in V$. For 
the family of configurations $\s(V_i)$
 in mutually disjoint volumes $V_i$ 
we denote by $\sum_i \s(V_i)$ the corresponding configuration in $\cup_i V_i$ provided such a configuration exists (i.e., is admissible). When $V= \z^{2}$ 
we have the configuration space $\Sigma_A^{\z}=\bigotimes_{\z}\Sigma_A $, 
where $\Sigma_A$ is the subshift generated by the matrix $A$.
\medskip
Let $Q$ be a square in $\z^{2}$ and $l(Q)$ its side length. Consider a
potential $U$ satisfying
$$0 \le U(\s(Q))\le \expp{-l(Q)}. \eqno{(A.2.1)},$$ 
for every square $Q \subset \z^2$.

Take a finite volume $V$ and fix a configuration
 $\s'$ over $\hat V =\z^{2} \setminus V$.
 The configuration  $\s'(\hat V)$ is called a boundary condition.

A Gibbs distribution over $V$ under 
the boundary condition $\s'(\hat V)$ is defined by
$$
\mu_{\! \atop V,\s'}(\s(V))={\expp{-\b H(\s(V)|\s'(\hat V))}
\over \Xi(V|\s'(\hat V))}\;. 
\eqno{(A.2.2)}$$
Here $\beta >0$ is called the {\it inverse temperature},
 $\s(V)$ is a configuration over $V$ such that $\s(V)+\s'(\hat V)$ is also a configuration 
in $\z^{2}$,  
$$
H(\s(V)|\s'(\hat V))=-\sum_{Q \subseteq V} U(\s(Q))
-\!\!\!\sum_{Q \cap V \not= \emptyset,\ Q \cap \hat V \not= \emptyset } 
U\big(\s(Q\cap V)+\s'(Q\cap \hat V)\big)  
\eqno{(A.2.3)}$$
is the conditional Hamiltonian, and the denominator in (A.2.2)
is the partition function in the volume $V$ with the boundary condition
$\s'(\hat V)$:
$$
\Xi(V|\s'(\hat V))=\sum_{\s(V)} \expp{-\b H(\s(V)|\s'(\hat V))}. 
\eqno{(A.2.4)}.
$$ 
\medskip
{\bf 3. Contour Representation of Partition Functions}
\medskip
We shall show that the partition function $\Xi(V|\s'(\hat V))$ can be
represented in the form of an abstract
 partition function (A.1.1). It has a polymer expansion
(A.1.4) if $\beta$ is sufficiently small. We shall describe the terms
in (A.1.1) in our specific context.

We first introduce a new potential which are equivalent
to the original one (A.2.1)-(A.2.4). 
This  means that the new potential defines 
the same Gibbs distributions over any finite volume under a fixed boundary
condition. 

Let $b(Q)$ be the leftmost lower corner of $Q$. Take an integer $L\geq n_0$ 
and consider a rectangle $P$ of size $n(P)\times L n(P)$ such that its 
leftmost lower corner $b(P)=(b_1(P),b_2(P))$
 has $b_2(P)=rL$, where $r$ and $n(P)$ are integers.
 We say that the square $Q$ with $b(Q)=(b_1(Q),b_2(Q))$ 
is associated with the rectangle $P$ if $b_1(Q)=b_1(P)$, $L[b_2(Q)/L]=b_2(P)$, $l(Q)=n(P)$ and hence $Q \subseteq P$
 (here $[\;\cdot\;]$ denotes the integer part).
 For any rectangle $P$ we define
$$
U(\s(P))=\sum_{Q} U(\s(Q)), 
\eqno{(A.3.1)}$$
where the sum is taken over all squares $Q$ associated with the rectangle $P$.
Clearly,
$$
0 \le U(\s(P)) \le L \expp{-n(P)} 
\eqno{(A.3.2)}$$
and absorbing $L$ in $\b$ one can assume  that
the potential is defined on  rectangles $P$ (instead of squares $Q$)
and satisfies 
$$0 \le U(\s(P)) \le \expp{-n(P)}. \eqno{(A.3.3)}$$
Set $\partial^I V=\{x \in V|\; \hbox{\rm dist}\; (x, \hat V)=1\}$,
$\partial^E V=\{x \in \hat V|\; \hbox{\rm dist}\; (x, V)=1\}$. We call
$\partial^I V$ and $\partial^E V$ an {\it internal} and an {\it external } 
boundaries of $V$ respectively.
 Observe that every finite volume $V$ can be uniquely
partitioned into vertical segments 
$V_n$ with each segment being a connected
component of the intersection of 
$V$ and some vertical line. We denote by $a(V_n)$
and $b(V_n)$ the points of $\p^E V$ adjacent to
 $V_n$ from above and from below,  
respectively. The collection of such elements will be denoted
by $a(V)$ and $b(V)$. In addition, we restrict our considerations to the
volumes with
$$L[a(V_n)/L] =a(V_n)\ \hbox{\rm and }
 \ L[b(V_n) +1 /L] -1 =b(V_n).\eqno(A.3.4)$$ 
As we still allow  arbitrary boundary conditions
 it is sufficient to prove the
uniqueness of the limiting Gibbs state 
when the limit is taken over volumes of the special shape described above.
\medskip
{\bf 3.1  Definition of contours}
\medskip
A {\it precontour} $\g=\{P_j\}$  is a family of rectangles  which satisfy the following conditions:

(1) $\bg=\cup_j P_j$ is a connected subset of $\z^{2}$;

(2) every $P_j$ contains a point which does not belong to any
other rectangle of $\g$.
\medskip
Consider a finite family of
rectangles $\G=\{P_i\}$ such that $\bG=\cup_i P_i$ 
is a connected subset of
$\z^{2}$. This family of rectangles $\g(\G)$
 will be a precontour by our definition.  
It is called the {\it precontour of $\G$.} 
 We describe an algorithm which produces 
a unique minimal covering $\g(\G)$ of $\bG$. 
\medskip
(i) Fix the {\it leftmost lower} point in $\bG$.  Among all
rectangles of $\G$ that begins at this point choose the rectangle
$P_{i_1}$ with the maximal linear size 
$n(P_{i_1})$ and  include it in $\g(\G)$.

(ii) Suppose that the rectangles $P_{i_1},\ldots,P_{i_k}$ are already
selected to $\g(\G)$ during the previous steps of the algorithm.  Fix the
{\it leftmost lower} point $x \in \bG \setminus (\cup_{j=1}^k P_{i_j})$.
Consider all rectangles of $\G$ covering $x$. Among them choose the
rectangles with the maximal right upper corner (here maximal means {\it
rightmost upper}). From this family of rectangles include in $\g(\G)$
the rectangle $P_{i_{k+1}}$ which has the maximal linear size.

(iii) Repeat step (ii) until $\bG$ will be totally covered, i.e.
$\bG=\cup_j P_{i_j}$.
\medskip
We say that a rectangle $P$ is {\it compatible} with precontour
$\g=\{P_j\}$ and 
denote it by $P \prec \g$ if for $\G=\{P_j\}\cup \{P\}$ one has $\g(\G)=\g$.
Obviously, any $P \prec \g$ belongs to $\bg$ and any $P$ embedded into some
$P_j \in \g$ is compatible with $\g$. It is also clear that some of the
rectangles $P \subseteq \bg$ can be incompatible with $\g$.

A collection of precontours $\{\g_i\}$ is called a
compatible   if for any  $\g_{i_1},\g_{i_2} \in
\{\g_i\}$ either $\hbox{\rm dist}\;( \bg_{i_1},\bg_{i_2})>1$ or $\bg_{i_1}
\subseteq \bg_{i_2} \setminus \p^I\bg_{i_2}$.
For $V \subset \z^2$, the inclusion $\G \subset V$ means that every rectangle 
of $\G$ is contained in $V$. Furthermore, $\G\cap V\not=\emptyset$ mean 
that $P\cap V\not= \emptyset$ for every
 $P\subset \G$. A collection of precontours $\{\G_i\}\cap V\not=\emptyset$ if $\G_i\cap V\not=\emptyset$ for each $i$.

A {\it contour} is a triple $\O=\big(\{\g_i\},\; \{\t_j\},\; \s \big)$,
where 

(i) either $\{\g_i\} \cap V \not=\emptyset$ is a compatible collection of
precontours  or $\{\G_i \}$ is an empty set;

(ii) $\{\t_j\} \subseteq V\setminus (\cup_i \p^I \bg_i)$ is a
collection of mutually disjoint finite vertical segments with 
$a(\t_j),\; b(\t_j) \in \cup_i (\p^I \bg_i \cap V) \cup \p^E V$;

(iii) $\s$ is a configuration in $\cup_i (\p^I \bg_i \cap V)$;

(iv) either $\{\g_i\}$ is non empty and for every $\t_j$ at least one
of its ends ($a(\t_j)$ or $b(\t_j)$) belongs to $\cup_i (\p^I \bg_i \cap V)$
or $\{\g_i\}$ is empty and $\{\t_j\}$ consists of a single segment $\t$ with
$a(\t),\; b(\t) \in \p^E V$;

(v) for every pair $\g_{i'}$ and $\g_{i''}$ there exists a sequence
$\g_{i'}=\g_{i_1}, \t_{j_1}, \ldots ,\g_{i_s},
\t_{j_s},\g_{i_{s+1}}=\g_{i''}$ such that for any $1 \le k \le s$ either
$a(\t_{j_k}) \in \p^I \bg_{i_k}$ and $b(\t_{j_k}) \in \p^I \bg_{i_{k+1}}$ or
$b(\t_{j_k}) \in \p^I \bg_{i_k}$ and $a(\t_{j_k}) \in \p^I \bg_{i_{k+1}}$.

\noindent The contour clearly depends on $V$. In the
special case when $V=\z^{2}$ we obtain so called {\it free} contours.

Given a contour $\O=\big(\{\g_i\},\; \{\t_j\},\; \s \big)$, we set $\bar
\O^{\t}=\cup_j \t_j$,  $\bar \O^{\g}=\cup_i \bg_i$, $\bar \O=\bar \O^{\t}
\cup \bar \O^{\g}$, $\tilde \O=\bar \O^{\t} \cup (\cup_i \p^I \bg_i)$.

A collection $\{\O_l\}$ is {\it compatible} if for any $\O_{l_1}$ and 
$\O_{l_2}$ one has   $\tilde \O_{l_1}\cap \tilde \O_{l_2}=\emptyset$ and 
the total collection $\{\g_i(\O_{l_1}),\; \g_i(\O_{l_2})\}$ is a compatible collection of precontours.

A contour $\O$ belongs to the volume $V$ if the corresponding
precontours $\g_i \subseteq V$ and $\bar \O \subseteq V$. A  contour $\O$
has non empty intersection with the volume $V$ if $\{\g_i\} \cap V \not=
\emptyset$ and $\bar \O^{\t}\subseteq V$.
\medskip
{\bf 3.2 Definition of statistical weight for contours }
\medskip
1. Since $\beta $ is small $\expp{\b U(\s(P))}-1$ is small. We  denote this difference by $U(\b,\s(P))$
for any rectangle $P$ and any configuration $\s(P)$. 
\medskip
2. We partition the finite volume $V$ 
into vertical segments $V_n$ and  denote the
distance between $a(V_n)$ and $b(V_n)$ by $||V_n||=|V_n|+1$. The number of
configurations in $V$ with the boundary condition $\s'(\hat V)$ can be
calculated as
$$N(V|\s'(\p^E V))=\prod_n N \left( V_n|\s'_{a(V_n)},\s'_{b(V_n)} \right),
\eqno{(A.3.5)}$$
where $N \left( V_n|\s'_{a(V_n)},\s'_{b(V_n)} \right)$ is the matrix entry of $A^{||V_n||}$ 
indexed by $\s'_{a(V_n)},\s'_{b(V_n)}$. By Perron-Frobenius theorem
 both matrices $A$ and its adjoint   $A^*$ have a unique maximal eigenvalue
$\l>1$ and the corresponding eigenvectors $\bf e$ and $\bf e^*$ with  
positive components $e_{\s}$ and $e^*_{\s}$. We normalize $\bf e$ and $\bf
e^*$ in such a way that $\sum_{\s} e_{\s}e^*_{\s}=1$.
 Using the Jordan normal form 
for matrix $A$, one can show that
$$N \left( V_n|\s'_{a(V_n)},\s'_{b(V_n)} \right)= e_{\s'_{a(V_n)}}
e^*_{\s'_{b(V_n)}} \l^{||V_n||} \left(1 + F \left(
V_n|\s'_{a(V_n)},\s'_{b(V_n)} \right)\right), \eqno{(A.3.6)}$$
where for some $0<\rho(A) <1$ and $\nu(A)>0$
$$\left|F \left( V_n|\s'_{a(V_n)},\s'_{b(V_n)} \right)\right| \le \nu(A)
\rho(A)^{||V_n||}. \eqno{(A.3.7)}$$
We define
$$L(V)=\l^{-\sum_n ||V_n||},$$
$$E(\s(\p^E  V))=\left(\prod_n e_{\s_{a(V_n)}} \right)^{-1}
\left(\prod_n e^*_{\s_{b(V_n)}} \right)^{-1},$$
$$E^*(\s(\p^E  V))=\left(\prod_n e^*_{\s_{a(V_n)}} \right)^{-1} \left(\prod_n
e_{\s_{b(V_n)}} \right)^{-1}.\eqno(A.3.8)$$
Similarly, we define $E(\s(\p^I  V))$ and $ E^*(\s(\p^I  V))$ by using the
top and bottom elements of $V_n$ instead of $a(V_n)$ and $b(V_n)$.

3. Given a precontour $\g$  and a fixed
configuration $\s(\p^I \bg \cap V)$, we define a {\it precontour partition
function} by
$$ \Xi \big( \g,\s(\p^I \bg \cap V) \big| \s'(\hat V) \big) = L \big( (\bg
\setminus \p^I\bg) \cap V \big) E^* \big( \s(\p^I\bg \cap V) \big)^{-1} E
\big( \s'(\p^E V \cap \bg) \big)$$
$$\times \!\!\!\sum_{\s \big( (\bg \setminus \p^I\bg) \cap V \big)} \hskip1em
\prod_{P \in \g} U\big(\b,\s(P\cap V)+\s'(P\cap \hat V)\big) \prod_{P \prec
\g} \left(1+ U\big(\b,\s(P\cap V)+\s'(P\cap \hat V)\big)\right). \eqno(A.3.10)
$$
Set
$$\Xi^*(V|\s'(\p^E V))=L(V) E(\s'(\p^E V))
 \sum_{\s(V)}\ \prod_{P:\; P\subseteq V} 
\bigg(1+U\big(\b,\s(P)\big)\bigg) .$$
The {\it statistical weight of precontour} is defined by 
$$W \big( \g,\s(\p^I \bg \cap V) \big| \s'(\hat V) \big)= {\Xi \big(
\g,\s(\p^I \bg \cap V) \big| \s'(\hat V) \big) \over \Xi^* \big( (\bg \cap
V) \setminus \p^I \bg \big|\s(\p^I \bg \cap V) + \s'(\p^E V \cap \bg) \big)}.
\eqno{(A.3.11)}$$

4.  For any contour $\O=\big(\{\g_i\},\; \{\t_j\},\;
 \s \big)$, the {\it statistical weight} is 
$$W(\O|\s'(\hat V))=\prod_i W \big( \g_i,\s(\p^I \bg_i \cap V)
\big|\s'(\hat V) \big) \prod_j F(\t_j | \s''_{a(\t_j)},\s''_{b(\t_j)}),
\eqno{(A.3.29)}$$  
where $\s''=\s' \big(\p^E V \setminus \big( \cup_i \bg_i \big) \big)+ \sum_i
\s \big( \p^I \bg_i \cap V \big)$.
\medskip
{\bf 4. Polymer Expansion Theorem.}
 (see [JM]) {\sl  Suppose that $U(\s(P))$ is a potential 
which is defined on rectangles of size $n(P)\times L n(P)$. Assume that  $U$ satisfies (A.3.3). Then there
exists a constant $\b_0>0$ such that for any $0<\b \le \b_0$, any
finite volume $V$ satisfying (A.3.4), and arbitrary boundary
condition $\s'(\hat V)$, the following equation holds:
$$ 
L(V) E(\s'(\p^E V)) \Xi(V|\s'(\hat V)) =  \sum_{\{\O_j\}\cap V 
\not= \emptyset}\prod_j W(\O_j |\s'(\hat V) ), 
\eqno{(A.4.1)}$$
where the partition function $ \Xi(V|\s'(\hat V))$
 on the left-hand side is defined by (A.2.1)--(A.2.4) with
$U(\s(P))$ replacing $U(\s(Q))$ and the right-hand side
is the abstract partition function over contours
 defined in the previous sections. Thus, the partition function has
the polymer expansion 
$$  
L(V) E(\s'(\p^E V)) \Xi(V|\s'(\hat V)) 
= \exp\big( \sum_{\wp\cap\L\not=\emptyset} w(\wp) ),
$$
where the statistical weight $w(\wp)$ is defined in (A.1.5)}

For a polymer $\wp= [ \O_i^{\alpha_i} ] $, $\bar \wp = \cup_i {\bar \O}_i $.
This notation is used in (4.26).  
We note that the infinite sum on the right-hand side
is convergent uniformly for all
potentials  satisfying (A.3.3) and $\beta \le \beta_0$. 
\medskip
{\bf Acknowledgments.} The authors thank Jean Bricmont and Antti
Kupiainen for helpful discussions. M. J.  was partially
supported by the NSF grant and the grant
 from Army Research Office and National 
Institute of Standards and Technology. Ya. P. 
was partially supported by the National Science Foundation grant DMS9403723.  
\vfill\eject

\bigskip
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\end
  



\comment
\medskip
{\bf Proposition 1.4.} Assume that $g(x)$ is a $C^1$-contracting map of $\real$ into
itself.  The map $\Phi$ is a short range  $C^1$-perturbation of $\otimes_{i \in \z}g_i$ with a decay constant $0<\theta < 1$
in the Banach space $l^\infty= \{ (a_i),  a_i \in \real, \|(a_i)\| = \sup_i |a_i| < \infty \}$, where $g_i$ is a copy of $g$ for each $i$.
Then, for any $0 < \theta < q <1$ and a sequence of positive numbers $\delta_i$
with $ 0< m_0 < \delta_i < M_0 $, there exists $\epsilon_0$ such that 
 the set of maps $\WW = \{ h: l^\infty \to l^\infty, |h_i(\bar x) - h_i(\bar y)|
\le \delta_i q^{|i-k|}|x_k - y_k|, \text{for any } \bar x, \bar y
\text{ with }  x_j=y_j, j\not=k, j\in \z \} $ is invariant under $\Phi$
when    the
$C^1$-distance $ \| \Phi - \otimes_{i \in \z}g_i\|_{C^1}   < \epsilon_0$,
i.e., $\Phi\WW \subset \WW$.
\endcomment


\comment
(2) The conjugacy map $h$ is continuous (and in fact, is a homeomorphism) 
with respect to any metric $\rho_q$; moreover, if $G$
is spatial translation invariant, so is $h$.
\endcomment


\comment
To see that $h$ is continuous in the $\rho_q$-metric, we observe
that the fixed point $v$ for $\GG'$ is the limit
of iterations $\{\KK^n 0\}$ and that this sequence is also a Cauchy sequence
in the $\rho_q$-metric. By Propositions 1.1-1.3, the map $\KK$ is
short ranged and therefore,    preserves 
$\rho_q$-continuity. Thus,  the limit map is also continuous in
the $\rho_q$-metric. Since $\MM$ is compact in the metric
$\rho_q$ this implies that $h$ is a homeomorphism.

The H\"older continuity of $h$ was proved in [J1] by showing
that stable and unstable manifolds for $\Phi$
vary H\"older continuously in the $\rho_q$-metric. In Section 5, 
we describe finite-dimensional approximations for $h$ which can be also used 
to establish an alternative proof of the H\"older continuity.
\endcomment

