In this section, we shall demonstrate how far an analytic function may be characterized by the nature of its singularities and roots, a singular point being a place where the regularity property fails. In particular, we are concerned with functions whose singularities are isolated. A singular point
Table of Contents
4.2.1 The Nature of Singular Points
The most natural instances of isolated singularities that come to mind are like the singularities of the functions
We have at hand a convenient tool, the Laurent series, for analyzing the behavior of a function at an isolated singularity. Set
We divide isolated singularities into three classes according to the local behavior of the function.
First of all
On the other hand, if
If
At a pole
In contrast to the behavior of a function in the neighborhood of a pole we have the Theorem of Weierstrass .
Theorem 4.3 (Theorem of Weierstrass). In the neighborhood of an isolated essential singularity an analytic function comes arbitrarily close to every complex value.
Proof. Suppose then that
There is a much stronger result due to Picard which states that, in every neighborhood of an essential singularity, an analytic function actually takes on every complex value, excepting at most two. We shall prove this result in a later chapter.
We broaden the definition of essential singularity to include all singularities (not necessarily isolated) which are not poles or removable singularities. Hence a point of accumulation of poles in a domain where
The Point
We shall adopt certain conventions for describing the behavior of an analytic function at infinity. Suppose that
If
If
Exercises
Exercise 4.1 . A function
Exercise 4.2 . The functions
.
Exercise 4.3 . If
4.2.2 The Zeros and Poles of an Analytic Function
Let
Suppose that
Similarly, if
We conclude that
If
Since we have a means of counting the zeros and poles of an analytic function we can give a proof of the fundamental theorem of algebra which is more satisfying than that of Chapter III since it gives a complete count of the roots. We prove that a polynomial of
The integral (2.21) has an interesting geometrical meaning. We have
A useful criterion for the comparison of the zeros of two functions is given by Rouché’s Theorem .
Theorem 4.4 (Rouché’s Theorem). Let
Proof. Obviously, neither
Rouché’s Theorem provides us with another proof of the fundamental theorem of algebra. The polynomial
Exercises
Exercise 4.4 . Show that a rational function not identically constant takes on every complex value exactly as many times as it has poles.
Exercise 4.5 . Let
Exercise 4.6 . Prove that if
Exercise 4.7 . Locate the complex roots of
Exercise 4.8 . Hurwitz Theorem . If
4.2.3 Entire and Meromorphic Functions
An important class of analytic functions consists of those functions which have no essential singularity at any finite point of the plane. These we divide into several categories.
An entire function is a function which is regular throughout the finite part of the plane. Unless an entire function is constant it must have a singularity at infinity; if the singularity is a pole the function is said to be an entire rational function ; if
A meromorphic function has no finite singularities except poles. Again, it is said to be rational meromorphic if
The polynomials are examples of entire rational functions. Conversely, we now prove that an entire rational function can be only a polynomial. For, if
In the same fashion we show that a rational meromorphic function must be a rational function, the quotient of two polynomials. For let
Exercises
Exercise 4.9 . Let
Exercise 4.10 . Using the result of Exercise 9 prove that a rational meromorphic function is the quotient of two polynomials.
An entire rational function, that is, a polynomial, can be represented to within a constant multiple as a product of linear factors. For suppose
Again, in (2.31) we saw that a rational meromorphic function is determined to within an additive constant by its behavior at poles. How completely is an arbitrary meromorphic function defined by the character of its poles?
The answers to these questions are given in two remarkable theorems of Weierstrass and Mittag-Leffler; the one gives an infinite product representation for entire functions, the other represents a meromorphic function by an infinite decomposition into partial fractions.
Before we prove these theorems let us first indicate the limitations on these results. Suppose
In effect we have already answered our question for meromorphic functions when the number of poles is finite. The only other possibility is that
Theorem 4.5 (Mittag-Leffler Theorem). Let
Proof. Unlike the finite case we must ensure that the representation (2.32) converges. First of all we may suppose that the sequence
The series
In general, to ensure convergence of the series (2.32) , the degree of the polynomials
Although the Mittag-Leffler Theorem can be used easily to expand a function with simple poles into partial fractions we would still have the problem of determining the entire function
Let
Since the poles are isolated we can surely find a sequence of closed curves
Consider the special case where
The decomposition of a transcendental meromorphic function with only simple poles is well illustrated by the function
Now
This provides us with the estimate for
Now that we have obtained a partial fractional representation for meromorphic functions we may hope to use it to prove something for the zeros of an entire function, for the zeros of
Theorem 4.6 (Weierstrass Product Theorem). Let
Proof. We make the same assumption concerning the arrangement of the points of
The same method used in the proof of the theorem can be applied to obtain the product representation of
Exercises
Exercise 4.11 . Prove the existence of an entire function taking on arbitrarily preassigned values
Exercise 4.12 . Generalize the Mittag-Leffler Theorem to a function which has an infinite number of poles, but no other singularities, in the interior of the unit circle,
Exercise 4.13 . Represent the following meromorphic functions in partial fraction form:
Exercise 4.14 . Represent the following entire function as an infinite product: