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Tuesday, March 12, 2019

The best proof of Clairaut's theorem on equality of mixed partials

This is the best proof of Clairaut's theorem on equality of mixed partials that I have ever thought up. And I bet it's the best proof of the theorem you'll ever see!

I'll prove the 2-variable version, but the generalization to n-variables is obvious.

Clairaut's Theorem: Suppose f is a real-valued function of two variables x,y and f(x,y) is defined on an open subset U of \mathbb{R}^2. Suppose further that both the second-order mixed partial derivatives \partial_x\partial_y f(x,y) and \partial_y\partial_x f(x,y) exist and are continuous on U. Then, we have: \partial_x\partial_y f = \partial_y\partial_x f on all of U.



Proof: Fix some (x_0,y_0) \in U. Consider the "discrete approximation" function
F(h_x, h_y) = \frac{1}{h_x h_y} (f(x_0 + h_x, y_0+h_y) - f(x_0, y_0 + h_y) - f(x_0 + h_x, y_0) + f(x_0, y_0))
where h_x, h_y > 0 are small enough such that the rectangle R(h_x, h_y) = [x_0, x_0+h_x]\times [y_0, y_0+h_y] lies entirely within U.

It's important to understand the meaning of F(h_x, h_y). It can be viewed as a discrete approximation of either \partial_x\partial_y f(x_0, y_0):
\partial_x\partial_y f(x_0, y_0) \approx \frac{1}{h_x}(\partial_y f(x_0+h_x, y_0) - \partial_y f (x_0, y_0)) \approx \frac{1}{h_x}\left[\frac{1}{h_y}\left(f(x_0 + h_x, y_0+h_y) - f(x_0 + h_x, y_0 )\right) - (f(x_0 , y_0+ h_y) - f(x_0, y_0))\right] = F(h_x, h_y)
or similarly for f_{yx}(x_0, y_0).

Then apply Rolle's Theorem twice, for any small h_x, h_y > 0, this approximation is actually exact in a sense: We have
F(h_x, h_y) = \frac{1}{h_x}(\partial_y f(x_0+h_x, \xi_y) - \partial_y f (x_0, \xi_y)) = \partial_x\partial_y f(\xi_x, \xi_y)
for some \xi_y \in [y_0, y_0 + h_y], \xi_x \in [x_0, x_0 + h_x]. The precise values of \xi_x, \xi_y aren't important, the only thing to know is that they are functions of h_x, h_y, and (\xi_x, \xi_y) \in R(h_x, h_y)

Similarly, F(h_x, h_y) = \partial_y\partial_x f(\xi_x', \xi_y') for some  (\xi_x', \xi_y') \in R(h_x, h_y).

So, for all such rectangles R(h_x, h_y)\in U, there exists two points (\xi_x, \xi_y) , (\xi_x', \xi_y') \in R(h_x, h_y), such that \partial_x\partial_y f(\xi_x, \xi_y) = \partial_y\partial_x f(\xi_x', \xi_y').

Now take the limit (h_x, h_y) \to (0, 0), so the rectangle shrinks to (x_0, y_0). By continuity of  \partial_x\partial_y f and \partial_y\partial_x f, we have \partial_x\partial_y f(x_0, y_0) = \partial_y\partial_x f(x_0, y_0).

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