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M408M Learning Module Pages

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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



Limits and continuity

Limits and Continuity

For functions of one variable, the (rough) definition of a limit was:
lim if f(x) is close to L whenever x is close to (but not equal to) a.


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.


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.


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}?
Solution: Yes, since a number close to 2 times the square of a number close to 3 is close to 2(3)^2=18.


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)}?
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).)


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.


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.