In mathematics, hyperfunctions are sums of boundary values of holomorphic functions, and can be thought of informally as distributions of infinite order.
Motivation
We want the "boundary value" of a holomorphic function defined on the upper or
lower half plane to be a hyperfunction on the real line. The easiest way to
achieve this is to say that a hyperfunction is specified by a pair
(f, g), where f is a holomorphic function on the lower half plane and g is a holomorphic function on the upper half plane. Informally,
the hyperfunction (f, g) is the sum of the boundary values of f
and g. If f is holomorphic on the whole complex plane,
then it should have the same boundary values when considered as a function on
either the upper or lower half plane. So (f, −f) should be considered to be 0. Similarly (f1, g1) and (f2, g2) represent the same hyperfunction
if (and only if) f1 − f2 and g2 − g1 are restrictions of the same holomorphic function defined on the whole complex plane.
Formal definition
Let
be the sheaf of holomorphic functions on C and let C+ and C−
be the upper half plane and lower half plane respectively. Therefore
Then we have
Here, the left-hand side is the first sheaf cohomology group.
Define the hyperfunctions on the real line by
Examples
- If f is any holomorphic function on the whole complex plane, then the restriction of f to the real axis is a hyperfunction, represented by either (f, 0) or (0, f).
- If g is a continuous function (or more generally a distribution) on the real line with support contained in a bounded interval I, then g corresponds to the hyperfunction (f, −f), where f is a holomorphic function on the complement of I defined by
This function f jumps in value by g(x) when crossing the real axis at the point x. The formula for f follows from the previous example
by writing g as the convolution of itself with the Dirac delta function.
- If f is any function that is holomorphic everywhere except for an essential singularity at 0 (for example, e1/z), then (f, −f) is a hyperfunction with support 0 that is not a distribution. If f has a pole of finite order at 0 then (f, −f) is a distribution, so when f has an essential singularity then (f,−f) looks like a "distribution of infinite order" at 0. (Note that distributions always have finite order at any point.)
Further reading
- Hörmander, Lars The analysis of linear partial differential operators. I. Distribution theory and Fourier analysis. Springer-Verlag, Berlin, 2003. ISBN 3-540-00662-1