Let f be a function holomorphic on some connectedopen subsetD of the complex plane ℂ and taking complex values. If z0 is a point in D such that for all z in a neighborhood of z0, then the function f is constant on D. By switching to the reciprocal, we can get the minimum modulus principle. It states that if f is holomorphic within a bounded domain D, continuous up to the boundary of D, and non-zero at all points, then |f| takes its minimum value on the boundary of D. Alternatively, the maximum modulus principle can be viewed as a special case of the open mapping theorem, which states that a nonconstant holomorphic function maps open sets to open sets. If |f| attains a local maximum at z, then the image of a sufficiently small open neighborhood of z cannot be open. Therefore, f is constant.
One can use the equality for complex natural logarithms to deduce that ln |f| is a harmonic function. Since z0 is a local maximum for this function also, it follows from the maximum principle that |f| is constant. Then, using the Cauchy–Riemann equations we show that = 0, and thus that f is constant as well. Similar reasoning shows that |f| can only have a local minimum at an isolated zero off.
Another proof works by using Gauss's mean value theorem to "force" all points within overlapping open disks to assume the same value. The disks are laid such that their centers form a polygonal path from the value where f is maximized to any other point in the domain, while being totally contained within the domain. Thus the existence of a maximum value implies that all the values in the domain are the same, thus f is constant.
Physical interpretation
A physical interpretation of this principle comes from the heat equation. That is, since log |f| is harmonic, it is thus the steady state of a heat flow on the region D. Suppose a strict maximum was attained on the interior of D, the heat at this maximum would be dispersing to the points around it, which would contradict the assumption that this represents the steady state of a system.
Applications
The maximum modulus principle has many uses in complex analysis, and may be used to prove the following: