Suff. condition for exact differential - PROOF?

In summary, we discussed the relationship between exact differentials and the chain rule, and how Clairaut's theorem states that the mixed second partial derivatives are equal for well-behaved functions. This means that for a function F(x,y) that is exact, its first partial derivatives must satisfy M(x,y) = \frac{\partial F}{\partial x} and N(x,y) = \frac{\partial F}{\partial y}, and its second partial derivatives must satisfy \frac{\partial N}{\partial x} = \frac{\partial M}{\partial y}. This condition is necessary for a differential to be exact. To prove Clairaut's theorem, one can refer to various mathematical analysis or calculus texts, or search
  • #1
Trave11er
71
0
...is that second partial derivatives are equal - how to prove it?
 
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  • #2
If [itex]M(x,y) dx + N(x,y) dy[/itex] is exact, that means it equals [itex]dF[/itex] for some function [itex]F(x,y)[/itex]. But the chain rule says that [itex]dF=\frac{\partial F}{\partial x}dx+ \frac{\partial F}{\partial y}dy[/itex], which implies that [itex]M(x,y) = \frac{\partial F}{\partial x}[/itex] and [itex]N(x,y) = \frac{\partial F}{\partial y}[/itex]. Now Clairaut's theorem states that (for well-behaved functions) the mixed 2nd partial derivatives are equal, i.e. [itex]\frac{\partial^{2}F}{\partial x \partial y}=\frac{\partial^{2}F}{\partial y \partial x}[/itex], which in terms of M and N becomes [itex]\frac{\partial N}{\partial x}=\frac{\partial M}{\partial y}[/itex]. That's the condition for exact differentials.

I hope that helps.
 
  • #3
Ok, then the question is how to probe the Clairaut's theorem.
 
  • #4
I would suggest you start by looking it up. It should be given in any Mathematical Analysis text and in any good Calculus text. Or google it on the internet.

There are several theorems with that name you want:
http://en.wikipedia.org/wiki/Symmetry_of_second_derivatives
or
http://www.sju.edu/~pklingsb/clairaut.pdf
 

FAQ: Suff. condition for exact differential - PROOF?

What is the sufficiency condition for an exact differential?

The sufficiency condition for an exact differential is that the partial derivatives of the function must be continuous and equal regardless of the order in which they are taken.

Why is the sufficiency condition necessary for an exact differential?

The sufficiency condition ensures that the total differential of the function exists and is independent of the path taken between two points. This is necessary for the function to be considered exact.

How is the sufficiency condition proven for a given function?

The sufficiency condition can be proven using multivariable calculus techniques, such as the use of partial derivatives and the gradient vector. It involves showing that the mixed partial derivatives of the function are equal.

Can a function have an exact differential without satisfying the sufficiency condition?

No, a function cannot have an exact differential without satisfying the sufficiency condition. The condition is a necessary requirement for a function to be considered exact.

What are some real-world applications of the sufficiency condition for exact differentials?

The sufficiency condition is commonly used in physics, engineering, and economics to model and analyze systems with multiple variables. It is also used in thermodynamics to determine the exact heat and work transfer in a system. Additionally, it is used in optimization problems to find the minimum or maximum value of a function.

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