Harmonic Functions
A real-valued function is said to be harmonic in a domain if its second partial derivatives are continuous in and if at each point of , satisfies Laplace's equation
For an analytic function , the second partial derivatives of and satisfy Laplace's equation. Therefore, we have the following theorem:
The real and imaginary parts of a function analytic in a domain are harmonic in .
When is harmonic in a domain , a function such that is analytic in is called a harmonic conjugate of . This means that given a harmonic function , we can always find a harmonic conjugate (this is not true for all domains though.)
Given a harmonic function on a suitable domain, we can use the Cauchy-Riemann equations to find a harmonic conjugate , as follows.
From the Cauchy-Riemann equations we have (using the subscript notation for partial derivatives). Then,
is the function we're looking for, except the constant of integration will be some unknown .
We'll say then that
where will explicitly be the antiderivative of with respect to , but will be an unknown function of .
Now, we can take
From the Cauchy-Riemann equations, . Comparing to , we find as the missing terms from in , if any. Integrating these gives the value of , which we can plug into (b) to get .
Note that this is the same mechnical procedure we use to solve first order exact differential equations.
We can use this to find analytic functions from a harmonic function by using the harmonic conjugates and the harmonic function as the real and imaginary parts of a complex function.
One interesting property of harmonic functions and their conjugates is that they define orthogonal families of curves - all of their intersections are at right angles to each other.