In mathematics, and particularly in the field of complex analysis, the Hadamard factorization theorem asserts that every entire function with finite order can be represented as a product involving its zeroes and an exponential of a polynomial. It is named for Jacques Hadamard.
The theorem may be viewed as an extension of the fundamental theorem of algebra, which asserts that every polynomial may be factored into linear factors, one for each root. It is closely related to Weierstrass factorization theorem, which does not restrict to entire functions with finite orders.
Define the Hadamard canonical factors
Entire functions of finite order have Hadamard's canonical representation[1]:
where
are those roots of
that are not zero (
),
is the order of the zero of
at
(the case
being taken to mean
),
a polynomial (whose degree we shall call
), and
is the smallest non-negative integer such that the series
converges. The non-negative integer
is called the genus of the entire function
. In this notation,
In other words: If the order
is not an integer, then
is the integer part of
. If the order is a positive integer, then there are two possibilities:
or
.
For example,
,
and
are entire functions of genus
.
Critical exponent
Define the critical exponent of the roots of
as the following:
where
is the number of roots with modulus
. In other words, we have an asymptotic bound on the growth behavior of the number of roots of the function:
It's clear that
.
Theorem ([2]): If
is an entire function with infinitely many roots, then
Note: These two equalities are purely about the limit behaviors of a real number sequence
that diverges to infinity.
([3] Theorem 12.3.4):
. This is proved by Jensen's formula.
Proof
Since
is also an entire function with the same order
and genus, we can WLOG assume
.
If
has only finitely many roots, then
with the function
of order
. Thus by an application of the Borel–Carathéodory theorem,
is a polynomial of degree
, and so we have
.
Otherwise,
has infinitely many roots. This is the tricky part and requires splitting into two cases. First show that
, then show that
.
Proving
[2]
As usual in analysis, we fix some small
.
Define the function
where
, then the goal is to show that
is of order
. This does not exactly work, however, due to bad behavior of
near
. Consequently, we need to pepper the complex plane with "forbidden disks", one around each
, each with radius
. Then since
by the previous result on
, we can pick an increasing sequence of radii
that diverge to infinity, such that each circle
avoids all these forbidden disks.
Thus, if we can prove a bound of form
for all large
[nb 1] that avoids these forbidden disks, then by the same application of Borel–Carathéodory theorem,
for any
, and so as we take
, we obtain
.
Since
by the definition of
, it remains to show that
, that is, there exists some constant
such that
for all large
that avoids these forbidden disks.
As usual in analysis, this infinite sum can be split into two parts: a finite bulk and an infinite tail term, each of which is to be separately handled. There are finitely many
with modulus
and infinitely many
with modulus
. So we have to bound:
This bound can be accomplished by the three bounds on
:
- There exists
such that
when
.
- There exists
such that
when
.
Proving
[4]
References
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