Pseudoconvexity Explained

In mathematics, more precisely in the theory of functions of several complex variables, a pseudoconvex set is a special type of open set in the n-dimensional complex space Cn. Pseudoconvex sets are important, as they allow for classification of domains of holomorphy.

Let

G\subset{C

}^n

be a domain, that is, an open connected subset. One says that

G

is pseudoconvex (or Hartogs pseudoconvex) if there exists a continuous plurisubharmonic function

\varphi

on

G

such that the set

\{z\inG\mid\varphi(z)<x\}

is a relatively compact subset of

G

for all real numbers

x.

In other words, a domain is pseudoconvex if

G

has a continuous plurisubharmonic exhaustion function. Every (geometrically) convex set is pseudoconvex. However, there are pseudoconvex domains which are not geometrically convex.

When

G

has a

C2

(twice continuously differentiable) boundary, this notion is the same as Levi pseudoconvexity, which is easier to work with. More specifically, with a

C2

boundary, it can be shown that

G

has a defining function, i.e., that there exists

\rho:Cn\toR

which is

C2

so that

G=\{\rho<0\}

, and

\partialG=\{\rho=0\}

. Now,

G

is pseudoconvex iff for every

p\in\partialG

and

w

in the complex tangent space at p, that is,

\nabla\rho(p)w=

n
\sum
i=1
\partial\rho(p)
\partialzj

wj=0

, we have
n
\sum
i,j=1
\partial2\rho(p)
\partialzi\partial\bar{zj

}wi\bar{wj}\geq0.

The definition above is analogous to definitions of convexity in Real Analysis.

If

G

does not have a

C2

boundary, the following approximation result can be useful.

Proposition 1 If

G

is pseudoconvex, then there exist bounded, strongly Levi pseudoconvex domains

Gk\subsetG

with

Cinfty

(smooth) boundary which are relatively compact in

G

, such that

G=

infty
cup
k=1

Gk.

This is because once we have a

\varphi

as in the definition we can actually find a C exhaustion function.

The case n = 1

In one complex dimension, every open domain is pseudoconvex. The concept of pseudoconvexity is thus more useful in dimensions higher than 1.

See also

References