Exact Equations
Exact equations arise naturally from the total differential of a function of two variables. They provide an elegant connection between differential equations and multivariable calculus, particularly the theory of conservative vector fields.
A first-order differential equation of the form:
is called exact if there exists a function such that:
In this case, the solution is given implicitly by .
The criterion for exactness comes from the equality of mixed partial derivatives.
Exactness Criterion
The equation is exact if and only if:
This follows from the equality of mixed partials: .
Consider .
Here and .
Since , the equation is exact.
Solution Method
To solve an exact equation:
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Verify exactness: Check that
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Find F: Integrate with respect to : where is an unknown function of only
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Determine g(y): Differentiate with respect to and set equal to :
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Write solution: The implicit solution is
Solve .
We already verified exactness. Now integrate with respect to :
Differentiate with respect to :
Set equal to :
Therefore , giving .
The solution is:
Not all first-order equations can be written in exact form, but some non-exact equations can be made exact by multiplying by an appropriate integrating factor . Finding such integrating factors is generally difficult, but in special cases (when depends only on or only on ), systematic methods exist.
Consider .
Here and .
Not exact! However, multiplying by gives:
Now , so it's exact.
The solution is , or .
Exact equations provide deep insight into the geometric structure of differential equations and their relationship to gradient fields and path independence in vector calculus.