Clairaut's theorem on equality of mixed partials: Difference between revisions
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==Statement== | ==Statement== | ||
Suppose <math>f</math> is a real-valued function of two variables <math>x,y</math> and <math>f(x,y)</math> is defined on an open subset <math>U</math> of <math>\R^2</math>. Suppose further that both the [[second-order mixed partial derivative]]s <math>f_{xy}(x,y)</math> and <math>f_{yx}</math> exist and are continuous on <math>U</math>. Then, we have: | ===Statement for second-order mixed partial of function of two variables=== | ||
Suppose <math>f</math> is a real-valued function of two variables <math>x,y</math> and <math>f(x,y)</math> is defined on an open subset <math>U</math> of <math>\R^2</math>. Suppose further that both the [[second-order mixed partial derivative]]s <math>f_{xy}(x,y)</math> and <math>f_{yx}(x,y)</math> exist and are continuous on <math>U</math>. Then, we have: | |||
<math>\! f_{xy} = f_{yx}</math> | <math>\! f_{xy} = f_{yx}</math> | ||
on all of <math>U</math>. | on all of <math>U</math>. | ||
===General statement=== | |||
The statement can be generalized in two ways: | |||
* We can generalize it to higher-order partial derivatives. | |||
* We can generalize it to functions of more than two variables. | |||
The general version states the following. Suppose <math>f</math> is a function of <math>n</math> variables defined on an open subset <math>U</math> of <math>\R^n</math>. Suppose ''all'' mixed partials with a certain number of differentiations in each input variable exist and are continuous on <math>U</math>. Then, all the mixed partials are continuous. | |||
Some examples are given below: | |||
* Suppose <math>f</math> is a function of two variables <math>x</math> and <math>y</math>, and the three mixed partials <math>f_{xxy}, f_{xyx}, f_{yxx}</math> exist and are continuous on an open subset <math>U</math> of <math>\R^3</math>. Then, all three of them are equal on <math>U</math>. (Note that these mixed partials all involve differentiating twice with respect to <math>x</math> and once with respect to <math>y</math>). | |||
* Suppose <math>f</math> is a function of three variables <math>x,y,z</math>, and the six mixed partials <math>f_{xyz}, f_{xzy}, f_{yxz}, f_{yzx}, f_{zxy}, f_{zyx}</math> exist and are continuous on an open subset <math>U</math> of <math>\R^3</math>. Then, all six of them are equal on <math>U</math>. | |||
==Particular cases== | |||
Clairaut's theorem can be verified in a number of special cases through direct computations. Some of these are illustrated below. | |||
===Additively separable functions=== | |||
{{further|[[Additively separable function]]}} | |||
Suppose <math>F(x,y)</math> is an additively separable function of two variables, i.e., we can write: | |||
<math>\! F(x,y) := f(x) + g(y)</math> | |||
where <math>f,g</math> are both functions of one variable. Assume that both <math>f</math> and <math>g</math> are both differentiable. Then, we have: | |||
<math>\! F_x(x,y) = f'(x), F_y(x,y) = g'(y)</math> | |||
Differentiating each of these a second time with respect to the other variable, we obtain that: | |||
<math>\! F_{xy}(x,y) = 0, F_{yx}(x,y) = 0</math> | |||
Thus, we see that both [[second-order mixed partial derivative]]s are the [[zero function]]. In particular, they are equal to each other. | |||
===Multiplicatively separable functions=== | |||
{{further|[[Multiplicatively separable function]]}} | |||
Suppose <math>G(x,y)</math> is a multiplicatively separable function of two variables, i.e., we can write: | |||
<math>\! G(x,y) := f(x)g(y)</math> | |||
where <math>f,g</math> are both functions of one variable. Assume that both <math>f</math> and <math>g</math> are both differentiable. Then, we have: | |||
<math>\! G_x(x,y) = f'(x)g(y), G_y(x,y) = f(x)g'(y)</math> | |||
Differentiating each of these a second time with respect to the other variable, we obtain that: | |||
<math>\! G_{xy}(x,y) = f'(x)g'(y), G_{yx}(x,y) = f'(x)g'(y)</math> | |||
We thus see that both the second-order mixed partial derivatives are equal. | |||
Note that the proof for multiplicatively separable functions can be easily generalized to functions that are expressible as ''sums'' of multiplicatively separable functions. This, therefore, includes all polynomial functions. | |||
==Related facts== | |||
* [[Failure of Clairaut's theorem when second-order mixed partials are not continuous]] |
Revision as of 19:01, 8 April 2012
Statement
Statement for second-order mixed partial of function of two variables
Suppose is a real-valued function of two variables and is defined on an open subset of . Suppose further that both the second-order mixed partial derivatives and exist and are continuous on . Then, we have:
on all of .
General statement
The statement can be generalized in two ways:
- We can generalize it to higher-order partial derivatives.
- We can generalize it to functions of more than two variables.
The general version states the following. Suppose is a function of variables defined on an open subset of . Suppose all mixed partials with a certain number of differentiations in each input variable exist and are continuous on . Then, all the mixed partials are continuous.
Some examples are given below:
- Suppose is a function of two variables and , and the three mixed partials exist and are continuous on an open subset of . Then, all three of them are equal on . (Note that these mixed partials all involve differentiating twice with respect to and once with respect to ).
- Suppose is a function of three variables , and the six mixed partials exist and are continuous on an open subset of . Then, all six of them are equal on .
Particular cases
Clairaut's theorem can be verified in a number of special cases through direct computations. Some of these are illustrated below.
Additively separable functions
For further information, refer: Additively separable function
Suppose is an additively separable function of two variables, i.e., we can write:
where are both functions of one variable. Assume that both and are both differentiable. Then, we have:
Differentiating each of these a second time with respect to the other variable, we obtain that:
Thus, we see that both second-order mixed partial derivatives are the zero function. In particular, they are equal to each other.
Multiplicatively separable functions
For further information, refer: Multiplicatively separable function
Suppose is a multiplicatively separable function of two variables, i.e., we can write:
where are both functions of one variable. Assume that both and are both differentiable. Then, we have:
Differentiating each of these a second time with respect to the other variable, we obtain that:
We thus see that both the second-order mixed partial derivatives are equal.
Note that the proof for multiplicatively separable functions can be easily generalized to functions that are expressible as sums of multiplicatively separable functions. This, therefore, includes all polynomial functions.