M408M Learning Module Pages
Main page
Chapter 10: Parametric Equations
and Polar Coordinates
Chapter 12: Vectors and the Geometry of Space
Chapter 13: Vector Functions
Chapter 14: Partial Derivatives
Learning module LM 14.1:
Functions of 2 or 3 variables:
Functions of several variables
Level curves
Limits and continuity
Learning module LM 14.3:
Partial derivatives:
Learning module LM 14.4:
Tangent planes and linear approximations:
Learning module LM 14.5:
Differentiability and the chain rule:
Learning module LM 14.6:
Gradients and directional derivatives:
Learning module LM 14.7:
Local maxima and minima:
Learning module LM 14.8:
Absolute maxima and Lagrange multipliers:
Chapter 15: Multiple Integrals
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Limits and continuity
Limits and Continuity
For functions of one variable, the (rough) definition of a limit was:
${\displaystyle \lim_{x \to a} f(x) = L}$ if $f(x)$
is close to $L$ whenever $x$ is close to (but not equal to) $a$.
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We made that precise by saying exactly what `close to' means. We used
the letter $\epsilon$ for how close $f(x)$ has to get to $L$, and
$\delta$ for how close $x$ is to $a$:
Precise definition of limit:
${\displaystyle \lim_{x \to a} f(x) = L}$ if, for every
number $\epsilon > 0$ there exists a number $\delta >0$ such that
$|f(x) -L| < \epsilon$ whenever $0<|x-a|<\delta$.
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The rough and precise definitions of limits of functions of two (or
more) variables work the same way:
(Rough definition) ${\displaystyle \lim_{(x,y) \to (a,b)} f(x,y) = L}$
if $f(x,y)$ is close to $L$ whenever the point $(x,y)$ is close to
(but not equal to) $(a,b)$.
(Precise definition) ${\displaystyle \lim_{(x,y) \to (a,b)} f(x,y) =
L}$ if, for every number $\epsilon > 0$ there exists a number $\delta
>0$ such that $|f(x) -L| < \epsilon$ whenever $0<\|\langle x-a, y-b
\rangle\|<\delta$.
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The only difference is what we mean by `close to $(a,b)$'. We mean the
distance in the plane: $$\|\langle x-a, y-b \rangle\| = \sqrt{(x-a)^2
+ (y-b)^2}.$$This is small whenever $x$ is close to $a$ and $y$ is
close to $b$. Just one of them being close isn't good enough.
Example 1: Is $\displaystyle{\lim_{(x,y) \to (2,3)} xy^2
= 18}$?
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Solution: Yes, since a
number close to 2 times the square of a number close to 3 is close to
$2(3)^2=18$.
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Example 2: If $$f(x,y) = \frac{x^2-y^2}{x^2+y^2},$$
then what is $\displaystyle{\lim_{(x,y) \to (0,0)} f(x,y)}$?
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Solution: This limit does not exist.
You can find points arbitrarily close to the origin with
$f(x,y)=1$, $f(x,y)=-1$ or anything in between. For instance,
$f(0.00001,0)=1$, $f(0,0.00001)=-1$, and $f(0.00001, 0.00001)=0$.
(When written in polar coordinates, $f(x,y)=\cos^2(\theta)-\sin^2(\theta)
= \cos(2\theta)$.)
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Just as with one variable, we say a function is continuous if it
equals its limit:
A function $f(x,y)$ is continuous at the point $(a,b)$ if
$\displaystyle{\lim_{(x,y) \to(a,b)}f(x,y) = f(a,b)}$. A function is
continuous on a domain $D$ if is is continuous at every point of $D$.
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Most of the rules for continuous functions carry over unchanged from
single variable calculus. For instance,
- Polynomials in $x$ and $y$ are continuous.
- Compositions of continuous functions are continuous.
(E.g. $\sin(x^2+y^2)$ is continuous since $x^2+y^2$ is
a continuous function of two variables and $\sin(t)$ is a
continuous function of its input.)
- Sums and products of continuous functions are continuous.
- Ratios of continuous functions are continuous, except where the
denominator goes to zero.
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