Notes on Complex Analysis

4.4.3 The Construction of Entire and Meromorphic Functions

It is common knowledge in algebra that any polynomial can be factored into linear factors. When can this factorization be extended to transcendental entire functions?

We will start by introducing the concept of infinite products. Let

be an infinite product. If the limit

exists and is finite, then the infinite product is said to be convergent.

For , since and , we can integrate over to get that . Therefore,

Since the convergence of is the same as that of , it follows that the convergence of is equivalent to that of . If is convergent, then is absolutely convergent. As with the order of summing an absolutely convergent series is unimportant, we may also rearrange terms in an absolutely convergent infinite product.

Similar to series, absolute convergence is a stronger condition than convergence:

Lemma 4.4.1.

An absolutely convergent infinite product is convergent.

Proof.

Let be a complex sequence such that is convergent. Then is absolutely convergent. Let denote the partial products of and let denote the partial products of . By the Cauchy Criterion (Theorem 1.2.12), we have that , such that , . Let us now analyze the absolute difference between and :

which therefore satisfies Theorem 1.2.12.

We will now provide the following assertions on the locally uniform convergence of infinite products:

Lemma 4.4.2.

Let be open and connected. Suppose uniformly converges on compact subsets of such that each is holomorphic on . Then the infinite product

is uniformly convergent on compact subsets of .

Proof.

Let be an arbitrary compact subset of . Since converges uniformly on , it follows that , such that , for all . Additionally, we have

By Theorem 4.1.1, the uniform limit is holomorphic on . By continuity and Theorem 1.2.13, this limit is bounded on . It follows that each partial sum is uniformly bounded on . Since the exponential function is Lipschitz continuous on compact subsets of , there exists a finite constant such that

Remark.

Uniform convergence on compact subsets is also known as compact convergence. In the case of (or in any topological space such that every point has a compact neighborhood), compact convergence is equivalent to locally uniform convergence.

We also have:

Lemma 4.4.3.

Let be open and connected. Suppose is uniformly convergent on compact subsets of such that each is holomorphic on . Then the infinite product

is uniformly convergent on compact subsets of to a holomorphic function, which vanishes only at a point if and only if for some . The multiplicity at each such zero is the sum of the multiplicities of at for all satisfying .

Proof.

Let be an arbitrary compact set. By the uniform convergence of on , it follows that the uniform limit is continuous by the Uniform Limit Theorem (Theorem 2.3.5). By continuity on a compact set, it follows that the limit is bounded by some constant . Additionally, , such that , . It follows that the partial sums are uniformly bounded on by

Similarly, by earlier discussion of infinite products, we have

or in other words, the partial products are uniformly bounded on . Let be arbitrary. By definition, there exists such that , for all . The difference between the non-absolute partial products satisfies

where the second inequality can be easily verified by expanding the product and the triangle inequality.

Since , it follows that

is uniformly convergent on . Let be a point satisfying . Since there exists an such that

is non-vanishing at , and from the fact that

we can analyze the zeros of the finite product to obtain the conclusion.

We will now study the construction of an entire function via its zeros. We have the following cases:

Corollary 4.4.1.

Let be meromorphic on . Then can be written as the quotient of two entire functions.

Proof.

Let be any entire function with zeros only at each pole of (with multiplicities matching the order of each pole). If there are infinitely many poles, we can explicitly construct such a by the Weierstrass Product Theorem (Theorem 4.4.6). If there are finitely many poles, construct using (4.4.1). It follows that can be analytically continued on its removable singularities to an entire function with the same zeros as . Hence,

which is an explicit construction.

Therefore, any meromorphic function on can be expressed as the quotient of two infinite products. Hence, any meromorphic function on can be explicitly written in terms of its zeros and poles.

We will now study the construction of meromorphic functions from their poles and the principal parts of their Laurent expansions at each pole.

Suppose and is a sequence of distinct values. Let be a collection of functions in the form

where are finite integer constants and are complex constants.

Suppose that is meromorphic on such that has finitely many poles. Therefore, has an isolated singularity at . We have two cases:

The Mittag–Leffler Theorem (Theorem 4.4.8) can also be generalized as follows:

Theorem 4.4.9.

Let be an open set with a simple closed boundary and let be a sequence of distinct complex numbers whose accumulation points lie on . Let be a sequence of functions in the form of (4.4.7). Then there exists a meromorphic function with poles at each with principal parts at each .

Indeed, since , each is not an accumulation point of . In other words, for each , there exist neighborhoods of that are relatively compact in with disjoint closures. The proceeding proof is analogous to that of the existence part in Theorem 4.4.8.

Finally, we will examine the construction of entire functions interpolating prescribed values and derivatives at given points.

Let be a sequence of distinct complex numbers and let be a sequence of complex numbers. We can then construct a polynomial such that , . One such explicit formula is given by the Lagrange interpolation formula:

Then, following the assumption that is a sequence of distinct complex numbers, let be a sequence where . Then we can find a polynomial such that , , (for clarity’s sake, selects the pair and selects the order of the derivative, whose upper bound varies for each ). Oftentimes, the factorial coefficient is absorbed into .

As it turns out, an entire function can in fact be constructed for infinitely many interpolation points, or when .

Theorem 4.4.10.

Let be a discrete set and let be a sequence where . Then there exists an entire function such that , ,

In other words, an entire function can be constructed by the given first coefficients of the Taylor expansion at each .

Proof.

According to the Weierstrass Product Theorem (Theorem 4.4.6), we can construct an entire function with zeros at each of with corresponding multiplicities . By the discreteness of , there exists a corresponding sequence of radii such that each is disjoint.

Define a complex function sequence by

where . By Theorem 3.2.12, we can construct a sequence of functions such that , , on , and on .

Let , and construct

Under what conditions on will be entire? Since the supports of each are disjoint, the summation contains at most one nonzero term and is convergent and well-defined. To construct to be entire, we must have . In other words, we want

on all of . Let

Since on , on . Consequently, on .

From rearrangement, we have

which has removable singularities at each . Define at . Under this assertion, we have . Since the support of is the union of disjoint compact sets, by Theorem 3.1.6, there exists a function satisfying

Since vanishes on , it follows that vanishes on , and is holomorphic on .

Fix and let . For , from (4.4.11), we have

Since has a zero at with multiplicity , vanishes at with multiplicity at least . Therefore, we have

as desired.

Remark.

For a general power series, there is no assurance that it corresponds to the Taylor expansion of an entire function. However, for any polynomial of degree , there always exists an entire function whose Taylor expansion agrees with the polynomial up to the first terms, which is the fundamental difference between a polynomial and a transcendental entire function.

Example 4.4.1.

Prove the pole expansion formula

for .

Proof.

Let the simple poles of at each integer be enumerated by

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