Proof of Exactness Criterion
We prove that for a differential equation to be exact, it is necessary and sufficient that .
Statement: The equation is exact if and only if:
Proof:
Necessity (): Assume the equation is exact. Then there exists such that:
Taking the partial derivative of the first equation with respect to :
Taking the partial derivative of the second equation with respect to :
By Clairaut's theorem (equality of mixed partial derivatives), if has continuous second partial derivatives, then:
Therefore:
Sufficiency (): Assume . We must show there exists such that and .
Define by:
where is any fixed point in the domain.
Step 1: Show .
By Leibniz's rule for differentiation under the integral sign:
The first term gives by the fundamental theorem of calculus.
The second term is zero because does not depend on . Therefore:
Step 2: Show .
The second term gives by the fundamental theorem.
For the first term, differentiate under the integral:
Using the exactness condition :
by the fundamental theorem of calculus.
Therefore:
We have constructed satisfying both required conditions, proving the equation is exact. ∎
The proof reveals why the exactness condition is equivalent to path independence of line integrals. The function can be interpreted as:
The condition ensures this integral is independent of the path taken from to , which is precisely the condition for the vector field to be conservative.
An alternative method to construct is:
where the "constant" of integration is a function of only. Then:
Solving for :
The exactness condition guarantees that the right side is a function of alone, making well-defined.
This proof connects ODE theory to vector calculus through the concepts of conservative fields and potential functions.