|
MSC Classification: 30 (Functions of a complex variable) |
Prerequisites: complex-analysis-i, real-analysis-i
Getting Oriented
| Rough Guides to Analysis |
| Calculus | |
| Real Analysis | |
| Complex Analysis |
Complex analysis…. greater depth…
The Basics
The Origin of Complex Numbers \margin{dhh 1.1-2.2}
The natural numbers
can be defined using sets. The integers
can be defined as solutions to such equations as
,
rationals
as solutions to
, the reals
as solutions to
(although the notion of distance in analysis leads us to define them as sequences of rational numbers), and finally the
complex numbers
as solutions to
.
The concept of integrability is based upon limits of Riemann sums over real functions, and trigonometric functions can be defined as integrals, for the sake of rigor, and proven to satisfy the known
identities.
The complex numbers were defined in order to solve arbitrary polynomial equations. They can be written
.
is called the argument, and is unique up to
multiples of
. If we restrict
to
, we obtain the Argument.
The Riemann Sphere \margin{dhh 2.3}
By projecting the standard sphere
onto the plane (stereographic projection), we obtain another model of
as the sphere minus one point, called the point at infinity. This projection is conformal, maps circles to circles/lines, and is given by
:

Stereographic projection induces metrics on the plane given by the standard chordal or spherical metrics on the sphere.
Defining complex functions on the sphere allows them to take the value
; with this viewpoint in mind, the sphere is the extended complex plane
.
Bilinear Transformations \margin{dhh 2.4}
Bilinear or M\"obius Transformations are a widely used class of functions on
of the form:

Such maps are conformal, meaning they preserve angles between curves, and actually every conformal map on
(the Riemann sphere) has this form. They are composed of rotations, translations, and inversions, and preserve the class of circles and lines. They are uniquely defined by their action on three points.
A useful tool for computing specific M\"obius transformations is the crossratio:
(3)
The crossratio is invariant under bilinear transformations. It is real iff the four given points lie on a circle or a line. One special case is the map
, which takes
to
,
to
, and
to
, so can be used to find the unique bilinear transformation taking any three points to any other three points.
If one looks at the sphere algebraically as the complex projective plane
, defined as
with equivalence
if
, then bilinear transformations are just linear maps (matrices) acting on
. Moreover, the composition of maps is given by matrix multiplication.
Complex Functions
Convergence in the Complex Plane \margin{dhh 3.0, 3.6, 5.9}
One of the most common notions of convergence in the complex plane is \emph{uniform convergence (on a disk)}, \ie
uniformly if
such that
implies
. Other notions of convergence include pointwise convergence, uniform convergence on the whole domain, and absolute convergence.
Normal convergence is often used when working with generalized series of functions. A series converges normally in a region
if it converges uniformly on every relatively compact subset of the region. Just as the uniform limit of continuous functions is continuous, so if a sequence of analytic functions
normally, then
is analytic, and
normally.
A useful test for normal convergence is the \emph{Weierstrass M-test}: a series of functions
analytic on a region converges normally provided for every closed ball
in the region, there exists
such that
and
.
General Classes of Functions
Holomorphic Functions \margin{dhh 3.0-3.3}
There are many ways to differentiate a given complex function
:
- Real partials:
. These combine to form the Jacobian
. - Complex-valued partials:
and
, which combine to give the differential
. - Complex partials:
and
. For the most part, these operators act on functions of
and
as they would on any real function of
and
.
is differentiable at
if there exist
such that 
- If
, then the limit below converges and
has \emph{complex derivative}
: 
This last condition is the most useful. It is equivalent to both
and the Cauchy-Riemann equations:
and
. Such functions are called holomorphic and can be differentiated with respect to
just like any function of a real variable.
Conformal Functions \margin{dhh 4.10}
A differentiable map
is conformal at a point
if it preserves angles, i.e., if whenever two curves
and
intersect at
with angle
,
and
intersect at
with angle
. This condition is equivalent to the Cauchy-Riemann equations, so a map is conformal iff it is holomorphic with nonzero derivative (or locally just holomorphic and
).
Any two simply-connected proper subsets of
are conformally equivalent (the Riemann Mapping Theorem). There is a standard dictionary of conformal maps taking disks to half-planes, strips, half-strips, and more.
Analytic Functions \margin{dhh 3.6-3.9}
A power series is just an infinite series
. There is a \emph{radius of convergence}
($0\leq R\leq\infty$]]), such that the series converges absolutely for
and diverges for
. Abel's First Theorem states that

Nothing can be said for the points
, although
cannot converge everywhere on this circle.
One can differentiate a power series termwise to obtain
which has the same radius of convergence. This shows that coefficients of power series are unique and given by
. Other operations on power series that respect convergence include addition, multiplication, division, composition, and antidifferentiation.
A function
is analytic at a point
if
such that
converges to
for
. Analytic and holomorphic are equivalent conditions (the proof that holomorphic
analytic will come later).
Abel's Second Theorem says that any power series
converging at
is an analytic function
for
and

Special Classes of Functions
Polynomial Functions \margin{dhh 3.4}
Complex polynomials of degree
have the form
, with
. There is a division algorithm, based on degrees, for complex polynomials. The Fundamental Theorem of Algebra asserts the existence of a complex root of any polynomial. (By factoring a polynomial, the existence of one root implies the existence of
roots, counting multiplicity.) Lucas' Theorem for polynomials states that roots of
lie in the convex hull of the roots of
, a sort of generalization of Rolle's Theorem for real functions.
Rational Functions \margin{dhh 3.5}
If
are polynomials with degrees
, then
is a rational function with degree
, and covers every point
times.
is meromorphic, meaning it acts holomorphically on the extended complex plane
.
Rational functions may be factored into partial fractions to give
(6)
If
is constant, this coefficient can be computed using L'H\^opital's Rule:

Trigonometric and Exponential Functions \margin{dhh 3.10}
The complex exponential, sine, and cosine functions are defined by their power series:
(8)
Expected identities are easily verified using these definitions.
Inverse Functions \margin{dhh 3.11}
We can prove an \emph{Inverse Function Theorem} for
: if
is analytic at
and
, then
is
on some disk
and has inverse
analytic on some disk
(so
on this disk).
This allows us to invert
on any region where it is
to obtain the complex logarithm. Since
is the only critical point of
, we can define
on any region of
which leaves out an arc extending from the origin. The choice of such an arc is called a branch of the logarithm, with principal branch given by
on
. It has power series

converging for
.
Many other functions can be defined using the complex log (and so thus their definition depends on the choice of branch). For example, the arctangent can be defined on
by

Complex roots and powers are defined on the principal branch of log, with
, or more generally
for any
. A consequence of these definitions is Euler's formula
.
Topological Properties
The Maximum Principle \margin{dhh 4.2-4.4}
A fundamental theorem of complex analysis is the \emph{Maximum Principle}, which states that an analytic function
defined on some domain has maximum modulus
on the boundary of that domain.
The Maximum Principle follows from the Open Mapping Theorem (nonconstant analytic maps are open), since if
is an interior point, then
must also be interior, so
cannot be maximum. The Open Mapping Theorem follows in turn from the Inverse Function Theorem (which implies maps are open for all
but where
), and the fact that maps such as
are open (which takes care of the points when
).
An immediate consequence is the Fundamental Theorem of Algebra: if a polynomial
had no zeros, then
would be analytic on
, and since
, the Maximum Principle would imply
for all
, an absurdity.
The Schwarz Lemma \margin{dhh 4.5,4.7}
Another consequence of the maximum principle: if
is analytic in the unit disk with
and
, then either
for
or
.
More generally, if
is bounded by
on
, then

Equality holds only when
is bilinear. As
we have:

where
is, by definition, the \emph{hyperbolic (Poincar\'e) metric}. Thus, for a curve
we have
.
Analytic Continuation \margin{dhh 4.8}
Analytic functions have isolated zeros, meaning two analytic functions which agree on a convergent set of points must be equal in a neighborhood of the limit point. Also, an analytic function
with
is identically zero on a neighborhood of
(equivalently, power series expansions about a given point are unique).
One consequence of this uniqueness is that almost all trig identities true in
must also be true in
. Another consequence is analytic continuation: if two analytic functions
and
are defined on domains
and
, respectively, with
on
, then we can extend
to
by letting
for
. Thus, an analytic function is determined by its local behavior.
Complex Integration
Some Basic Facts on Complex Integration \margin{dhh 5.1-5.2}
The line integral of a complex function
over a curve
is given by:

An integral transform takes a function
integrable on a measure space
to functions analytic on a region
by integrating:

If the kernel
is analytic in
in
, with power series coefficients integrable in
, then the transform
is also analytic in
.
Cauchy's Integral Formula \margin{dhh 5.4-5.7}
There is a version of Green's Theorem for complex functions: if
is continuous on a region
, then

where
is a polygon contained in
. Of course, this generalizes to smooth curves. Note that if
bounds a region on which
is holomorphic, then
, so that
. This special case is sometimes called Cauchy's Theorem.
A generalization of this result is \emph{Cauchy's Integral Formula}, which states that for
integrable on a disk
with
a positively oriented circle in
,

This shows that holomorphic functions are actually analytic, since this is really an integral transform with analytic kernel
. Differentiating, we see that
has a Taylor Series expansion absolutely convergent on compact subsets of
:

The Mean-Value Theorem \margin{dhh 5.8}
Cauchy's formula can be used to limit
and its derivatives. By evaluating around a circle about
, we have the Mean-Value Theorem:

Differentiating the original Cauchy formula gives:
(19)
so that
.
In particular, if
is bounded by
on
, then
. Letting
, we see that any bounded/entire function must be constant (Liouville's Theorem).
A Generalized Cauchy Formula \margin{dhh 7.1-7.5}
Given a closed curve (or cycle)
, the index or winding number of
with respect to
is

This is the measure of variation in argument (or angle) around a curve; intuitively, it measures how many times the curve winds around
. It is integer-valued, and constant on each component of
.
This gives a way to define homology classes in a region
of the complex plane. Namely, a cycle
in
is \emph{homologous to
for
; two cycles
are homologous if
is homologous to
.
The integral of a function over a cycle
depends only on the homology class of
, allowing us to generalize Cauchy's Formula. Given
homologous to
in a region
, and a function
analytic on
, we have Cauchy's Thorem
, and Cauchy's Formula

Residue Theory
The Laurent expansion \margin{dhh 7.6}
One application of Cauchy's Formula is the \emph{Laurent expansion}: a function
analytic on the annulus
can be expanded in a power series of the form

where both the positive and negative series are normally convergent on
, and

where
is chosen so that
.
The proof uses Cauchy's Formula to express
, where
is outside
,
inside
, with
null-homologous and
.
is then expanded into a series with negative powers, while
is expanded into one with positive powers. Summing the two gives the Laurent expansion.
The ‘non-analytic’ half
of the Laurent expansion is called the principal part of the expansion, and the coefficient
is called the residue (at
).
Singularities of Complex Functions \margin{dhh 7.7-7.8}
A singularity
of
is an isolated singularity if
is analytic on some ‘punctured neighborhood’
. Riemann's Lemma implies that
is unbounded on this set (otherwise
would be analytic at
).
There are several types of isolated singularities. If the residue
is the only nonzero term in the principal part of the expansion,
is called a simple pole. More generally, if
for
and
, then
is a removable singularity or a pole of order
. Otherwise,
is a transcendental singularity.
The Residue Theorem
The Residue Theorem states that for a cycle
bounding a region
with
analytic on the closure of
except for isolated singularities
in
, the integral of
over
is:

Thus, only the residues of the function at each
need to be computed. If
is a simple pole, we can write
where
and
, allowing the quick calculation:

Applications of Residues
Applications to Complex Analysis
Applying the Residue Theorem to
, we obtain the Argument Principle: if
is a cycle bounding a region
, and
is meromorphic on the closure of
, then
, where
has
zeros and
poles in
. This implies that an analytic function
with
bounding a region
must be
on
, since for
, the function
has a unique zero.
The Argument Principle also implies Rouch\'es Theorem: given
analytic in and on a bounding cycle
, with
on
, then
and
must have the same number of zeros inside
. Drawing a picture, one sees intuitively that adding
to
cannot change its winding number about
. Alternately, the Argument Principle implies that
, so the number of poles (zeros of
) equals the number of zeros (zeros of
).
Applications to Calculus
Many definite integrals are impossible to solve using real analysis, but can be easily computed using the Residue Theorem. Generally, the method of solution is to make a change of variables (for an integral involving
, one can substitute
so that
becomes
), and evaluate the new integral in the complex plane using residues. Improper integrals are also well-suited to complex analysis, as are certain infinite sums (by choosing a function whose residues represent the sum). These applications are discussed further in \mathbb{R}ef{unknown}.
Harmonic Functions
The Harmonic Mean-Value Property
A real-valued function
is harmonic if
, or equivalently, for
,

The Cauchy-Riemann equations imply that the real and complex parts of an analytic function are harmonic. And, if
is harmonic on a disk
, then there exists an analytic function
on
with
.
Taking the real part of the mean value theorem for analytic functions gives the harmonic mean-value property:
(27)
It follows that harmonic functions satisfy a \emph{maximum principle}: if
is harmonic on a region
with
, then
everywhere on
.
The Dirichlet Problem
An important problem for harmonic functions is the boundary-value (Dirichlet) problem: given a region
and a function
on
, find a harmonic function
on
with boundary value
.
Using the mean-value property and a M\"obius transformation, one can solve the Dirichlet problem on the disk given a real-valued, integrable function
on the boundary of the disk:

where
is the Poisson kernel:

Being able to solve the Dirichlet problem on the disk implies a solution for any region
conformally equivalent to a disk. In particular, by the Riemann mapping theorem, this means that it can be solved for any non-trivial simply-connected region, i.e., for any region bounded by a Jordan curve.
Schwarz Reflection
Because the Poisson integral
is harmonic, we have that any continuous function satisfying the mean-value property on a region
is harmonic.
As an application, a harmonic function
defined on
intersecting the real line at an interval
with
, can be extended to a harmonic function on the symmetric domain
. By defining
on
. One can show that the mean-value property is satisfied everywhere on
, hence
is harmonic.
This can be extended to give the \emph{Schwarz Reflection Principle} for analytic functions: given an analytic function
on
which is real-valued on
, one can extend
to an analytic function on
with
. The reflection may also be in any arc of a circle or line segment.
Normal Families
Normal Convergence
Recall our definition of normal convergence:
normally on a domain
if
uniformly on every compact subset of
. Many properties of the functions
are preserved under normal convergence:
- If the
are analytic,
is also analytic; - The zeros of
are the limits of zeros of the
, in the sense that if
normally, and
is a zero of
of multiplicity
, then
there exists
such that for
,
has exactly
zeros in the disk
; - If the
are conformal,
is constant or conformal (combining the two previous results).
General Families of Functions
Let
be a family of functions on a compact set
. The following are standard definitions:
- Equicontinuous
- for every
, there exists
such that whenever
,
, for all
(essentially, every
function in the family has the same degree of continuity);
- Bounded
- there exists
such that
.
The Arzela-Ascoli Theorem says that
is relatively sequentially compact in the uniform norm (that is, every sequence of functions has a uniformly convergent subsequence) iff
is both equicontinuous and bounded.
Normal Families
Denote the set of functions analytic on a domain
by
, and let
be a family of functions contained therein. Some possible properties of
:
- Normal
- for every sequence
there is a normally convergent subsequence; - Closed
- if
with
, then
; - Compact
- both normal and closed;
- (Locally) bounded
- for all compact
there exists
such that
for all
.
In the case of analytic functions, Montel's Theorem says that
is normal iff it is (locally) bounded, so that equicontinuity is unnecessary. Hence,
is compact iff it is (locally) bounded and closed.
For meromorphic functions (analytic except for isolated singularities), there is a similar result:
is normal with respect to the spherical metric iff for every compact
,
uniformly over
.
Normal Regions
One can also ask for what regions a given family
is normal, hence where are we guaranteed convergence.
Given a rational function
, the Fatou set
is the largest open set in which the iterates
form a normal family. Its (closed) complement
is the Julia set. Any rational
with
has nonempty Julia set, and for polynomials
is compact.
Conformal Mappings
Conformal mappings are the
analytic functions on some domain, and preserve the angles between curves.
The Riemann Mapping Theorem
This is one of the most famous and important results in complex analysis: given any simply connected domain
and
, there is a unique conformal map
from the unit disk
onto
such that
and
.
Unplaced Sections (Topics?)
Riemann Surfaces \margin{dhh 4.9}
A function, such as
, not well-defined on
, can be mapped into a surface (a complex manifold called the \emph{Riemann surface}) on which it is well-defined and analytic.
How is this surface constructed? In general, a nonconstant analytic function
with domain
is locally
away from its critical points
. A Riemann surface for
is constructed by partitioning the domain into a countable number of regions
on which
is
. Then, we glue the regions
along the boundary curves
. For example,
is
on
and
. These regions both map to
. Thus, the Riemann surface consists of two copies of
glued along
(the \emph{branch cut}).
Alternately, suppose
has power series
at a point
. Take the collection
of power series
around some
obtained by analytic continuation. By identifying
and
if
in a neighborhood of
, we obtain the Riemann surface on which the extension of
is well-defined.
One can also obtain a Riemann surface as some domain modulo a group of M\"obius transformations acting discontinuously. For example, the quotient of
by a group of translations represents a torus.
Conformal Mapping Areas \margin{dhh 4.10}
For conformal maps, the image of a region
under
has area
. This can be used to show that a power series
converging on the unit disk maps
to a region with area
. Similarly, for
converging outside the unit disk, the area omitted by
is
.
Residue Theory and Calculus
For a two-variable rational function
,
can be computed by substituting
to obtain
, which may be computed by the residue theorem.
If
is a rational function which disappears at
, then
summing over poles in the upper half plane. This is proven by using a contour
, where
is a half circle connecting
to
in the upper half plane, and taking the limit. Then
, allowing the computation of the integral.
Similarly, for
,
.
If
has a pole at a zero of
or
, the integral may still be calculated. For example,
has a single pole at
. To evaluate, we use the contour
where
is a small semicircle connecting
to
, and
is a large semicircle connecting
to
, both in the upper half plane.
Another type of integral is
, where
is a rational function disappearing at
and either
with
a real constant or
. In the complex plane,
requires a branch cut, so a contour similar to the one above must be used; in this case, the whole branch cut must be avoided. Specifically, the contour is
, where
, and
are nearly whole circles connecting the endpoints of these lines, so that the positive real axis (the branch cut in this case) is avoided.
In a similar vein, exact answers for series, such as
can be computed using residue theory. The trick is to find a function with simple poles at the integers. Then, a suitable integral involving this function will evaluate to the sum of
using residue theory, plus another term which involves the function evaluated at certain poles. If the whole integral goes to zero, then
may be calculated explicitly.





