Definition
Given a simply connected and open subset D of R2 and two functions I and J which are continuous on D, an implicit first-order ordinary differential equation of the form

is called an exact differential equation if there exists a continuously differentiable function F, called the potential function, so that

and

An exact equation may also be presented in the following form:

where the same constraints on I and J apply for the differential equation to be exact.
The nomenclature of "exact differential equation" refers to the exact differential of a function. For a function
, the exact or total derivative with respect to
is given by

Example
The function
given by

is a potential function for the differential equation

Existence of potential functions
In physical applications the functions I and J are usually not only continuous but even continuously differentiable. Schwarz's Theorem then provides us with a necessary criterion for the existence of a potential function. For differential equations defined on simply connected sets the criterion is even sufficient and we get the following theorem:
Given a differential equation of the form (for example, when F has zero slope in the x and y direction at F(x,y)):

with I and J continuously differentiable on a simply connected and open subset D of R2 then a potential function F exists if and only if

Solutions to exact differential equations
Given an exact differential equation defined on some simply connected and open subset D of R2 with potential function F, a differentiable function f with (x, f(x)) in D is a solution if and only if there exists real number c so that

For an initial value problem

we can locally find a potential function by
![{\displaystyle {\begin{aligned}F(x,y)&=\int _{x_{0}}^{x}I(t,y_{0})dt+\int _{y_{0}}^{y}J(x,t)dt\\&=\int _{x_{0}}^{x}I(t,y_{0})dt+\int _{y_{0}}^{y}\left[J(x_{0},t)+\int _{x_{0}}^{x}{\frac {\partial I}{\partial y}}(u,t)\,du\right]dt.\end{aligned}}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/35c50f1fd8971dcd31356086f6f935c39232e613)
Solving

for y, where c is a real number, we can then construct all solutions.
Second order exact differential equations
The concept of exact differential equations can be extended to second order equations. Consider starting with the first-order exact equation:

Since both functions
,
are functions of two variables, implicitly differentiating the multivariate function yields

Expanding the total derivatives gives that

and that

Combining the
terms gives

If the equation is exact, then
. Additionally, the total derivative of
is equal to its implicit ordinary derivative
. This leads to the rewritten equation

Now, let there be some second-order differential equation

If
for exact differential equations, then

and

where
is some arbitrary function only of
that was differentiated away to zero upon taking the partial derivative of
with respect to
. Although the sign on
could be positive, it is more intuitive to think of the integral's result as
that is missing some original extra function
that was partially differentiated to zero.
Next, if

then the term
should be a function only of
and
, since partial differentiation with respect to
will hold
constant and not produce any derivatives of
. In the second order equation

only the term
is a term purely of
and
. Let
. If
, then

Since the total derivative of
with respect to
is equivalent to the implicit ordinary derivative
, then

So,

and

Thus, the second order differential equation

is exact only if
and only if the below expression

is a function solely of
. Once
is calculated with its arbitrary constant, it is added to
to make
. If the equation is exact, then we can reduce to the first order exact form which is solvable by the usual method for first-order exact equations.

Now, however, in the final implicit solution there will be a
term from integration of
with respect to
twice as well as a
, two arbitrary constants as expected from a second-order equation.
Example
Given the differential equation

one can always easily check for exactness by examining the
term. In this case, both the partial and total derivative of
with respect to
are
, so their sum is
, which is exactly the term in front of
. With one of the conditions for exactness met, one can calculate that

Letting
, then

So,
is indeed a function only of
and the second order differential equation is exact. Therefore,
and
. Reduction to a first-order exact equation yields

Integrating
with respect to
yields

where
is some arbitrary function of
. Differentiating with respect to
gives an equation correlating the derivative and the
term.

So,
and the full implicit solution becomes

Solving explicitly for
yields

Higher order exact differential equations
The concepts of exact differential equations can be extended to any order. Starting with the exact second order equation

it was previously shown that equation is defined such that

Implicit differentiation of the exact second-order equation
times will yield an
th order differential equation with new conditions for exactness that can be readily deduced from the form of the equation produced. For example, differentiating the above second-order differential equation once to yield a third-order exact equation gives the following form

where

and where
is a function only of
and
. Combining all
and
terms not coming from
gives

Thus, the three conditions for exactness for a third-order differential equation are: the
term must be
, the
term must be
and

must be a function solely of
.
Example
Consider the nonlinear third-order differential equation

If
, then
is
and
which together sum to
. Fortunately, this appears in our equation. For the last condition of exactness,

which is indeed a function only of
. So, the differential equation is exact. Integrating twice yields that
. Rewriting the equation as a first-order exact differential equation yields

Integrating
with respect to
gives that
. Differentiating with respect to
and equating that to the term in front of
in the first-order equation gives that
and that
. The full implicit solution becomes

The explicit solution, then, is

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