In mathematics, the maximum modulus principle in complex analysis states that if
is locally a constant function, or, for any point
there exist other points arbitrarily close to
takes larger values.
be a holomorphic function on some connected open subset
and taking complex values.
This statement 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
, then the image of a sufficiently small open neighborhood of
is a bounded nonempty connected open subset of
attains a maximum at some point of the boundary of
is compact and nonempty, the continuous function
is not on the boundary, then the maximum modulus principle implies that
also attains the same maximum at any point of the boundary.
Proof: Apply the maximum modulus principle to
One can use the equality for complex natural logarithms to deduce that
Similar reasoning shows that
can only have a local minimum (which necessarily has value 0) at an isolated zero of
Another proof works by using Gauss's mean value theorem to "force" all points within overlapping open disks to assume the same value as the maximum.
The disks are laid such that their centers form a polygonal path from the value where
(a closed ball centered at
We then define the boundary of the closed ball with positive orientation as
Invoking Cauchy's integral formula, we obtain For all
This also holds for all balls of radius less than
Then one can construct a sequence of distinct points located in
is closed, the sequence converges to some point in
A physical interpretation of this principle comes from the heat equation.
is harmonic, it is thus the steady state of a heat flow on the region
Suppose a strict maximum was attained on the interior of
, 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.
The maximum modulus principle has many uses in complex analysis, and may be used to prove the following: