Complex Functions and Linear Mappings
Chapter 2Complex Functions
Overview
The last chapter developed a basic theory of complex numbers. For the
next few chapters we turn our attention to functions of complex numbers. They
are defined in a similar way to functions of real numbers that you studied in
calculus; the only difference is that they operate on complex numbers rather
than real numbers. This chapter focuses primarily on very basic functions, their
representations, and properties associated with functions such as limits and
continuity. You will learn some interesting applications as well as some
exciting new ideas.
2.1 Functions and Linear Mappings
A complex-valued function f of the
complex variable z is a rule that assigns to each complex number
z in a set D one
and only one complex number w.We writeand
call w the image of z
under f.A simple example of a complex-valued
function is given by the formula.The
set D is called the domain of
f, and the set of all imagesis
called the range of f.When the context is
obvious, we omit the phrase complex-valued, and simply refer to a function
f, or to a complex function
f.
We can define the domain to be any set that makes sense for a given rule,
so for,we
could have the entire complex plane for the domain D,
or we might artificially restrict the domain to some set such as.Determining
the range for a function defined by a formula is not always easy, but we will
see plenty of examples later on.In some contexts functions are referred to as
mappings or transformations.
In Section 1.6, we used the term domain to indicate a connected open
set.When speaking about the domain of a function, however, we mean only the
set of points on which the function is defined.This distinction is worth
noting, and context will make clear the use intended.
Just as z can be expressed by its real and imaginary parts,,we
write,where
u and v are the
real and imaginary parts of w,
respectively.Doing so gives us the representation
.
Because u and v depend on x and
y, they can be considered to be real-valued
functions of the real variables x and
y; that is,
and.
Combining these ideas, we often write a complex function
f in the form
.
Figure 2.1 illustrates the notion of a function (mapping) using these symbols.
Figure 2.1The mapping.
There are two methods for defining a complex
function in Mathematica.
We now give several examples that illustrate how to express a complex
function.
Example 2.1.Writein
the for.
Solution.Using the binomial formula, we obtain
so that.
Example 2.2.Express the functionin
the form.
Solution.Using the elementary properties of complex numbers, it follows that
so that.
Examples 2.1 and 2.2 show how to find u(x,y)
and v(x,y) when a rule for computing f is given.
Conversely, if u(x,y) and
v(x,y) are two real-valued functions of the real
variables x and y,
they determine a complex-valued function,and
we can use the formulas
and
to find a formula for f involving the variables z and
.
Example 2.3.Expressby
a formula involving the variables.
Solution.Calculation reveals that
Usingin
the expression of a complex function f may be convenient.It gives us the polar
representation
,
where U and V
are real functions of the real variables r and
.
Remark.For a given function
f, the functions u and v defined above are
different from those used previously inwhich
used Cartesian coordinates instead of polar coordinates.
Example 2.4.Expressin
both Cartesian and polar form.
Solution.For the Cartesian form, a simple calculation gives
so that.
For the polar form, we get v
so that.
Remark.Once we have defined
u and v for a
function f in Cartesian form, we must use
different symbols if we want to express f in
polar form. As is clear here, the functions u
and U are quite different, as are
v and V.Of
course, if we are working only in one context, we can use any symbols we choose.
For a given function f, the functions u and v defined here are different from
those defined by equation (2-1), because equation (2-1) involves Cartesian
coordinates and equation (2-2) involves polar coordinates.
Example 2.5.Expressin
polar form.
Solution. We obtain
so that.
We now look at the geometric interpretation of a complex function.If
D is the domain of real-valued functions
u(x,y) and v(x,y),
the equations
and
describe a transformation (or mapping) from D in
the xy plane into the uv plane, also called the
w plane. Therefore, we can also consider the
function
to be a transformation (or mapping) from the set D
in the z plane onto the range R in the
w plane.This idea was illustrated in Figure
2.1. In the following paragraphs we present some additional key ideas. They are
staples for any kind of function, and you should memorize all the terms in
bold.
If A is a subset of the domain
D of f, the
setis
called the image of the set A, and
f is said to map A
onto B.The image of a single point is a single
point, and the image of the entire domain, D, is
the range, R.The mappingis
said to be from A into
S if the image of A is contained in
S.Mathematicians use the notation
to indicate that a function maps A into
S.Figure 2.2 illustrates a function f whose
domain is D and whose range is
R.The shaded areas depict that the function
maps A onto B.The
function also maps A into
R, and, of course, it maps
D onto R.
Figure 2.2
maps A onto B;
maps A into R.
The inverse image of a point w is the set
of all points z in D
such that.The
inverse image of a point may be one point, several points, or nothing at
all.If the last case occurs then the point w
is not in the range of f.For example, if,the
inverse image of the point
is the single point
,
because,and
is the only point that maps to
.In
the case of,the
inverse image of the point
is the set
.You
will learn in Chapter 5 that, if,the
inverse image of the point 0 is the empty
set---there is no complex number z such that
.
The inverse image of a set of points, S, is the collection of all points
in the domain that map into S.If f maps D onto
R it is possible for the inverse image of
R to be function as well, but the original
function must have a special property: a function f
is said to be one-to-one if it maps distinct pointsonto
distinct points.Many
times an easy way to prove that a function f is
one-to-one is to suppose,and
from this assumption deduce that
must equal
.Thus,is
one-to-one because if
,then
.Dividing
both sides of the last equation by
gives.Figure
2.3 illustrates the idea of a one-to-one function: distinct points get mapped to
distinct points.
Figure 2.3A functionw
= f(z)that is one-to-one.
The functionis
not one-to-one because
,but.Figure
2.4 depicts this situation: at least two different points get mapped to the same
point.
Figure 2.4A function
that is not one-to-one.
In the exercises we ask you to demonstrate that one-to-one functions give
rise to inverses that are functions.Loosely speaking, ifmaps
the set A one-to-one and onto the set
B, then for each w
in B there exists exactly one point
z in AA such
that.For
any such value of z we can take the equationand
"solve" for z as a function of
w.Doing so produces an inverse functionwhere
the following equations hold:
Conversely, if
and
are functions that map A into
B and B into
A, respectively, and the above hold, then f maps
the set A one-to-one and onto the set
B.
Further, if f is a one-to-one mapping from D
onto T and if A
is a subset of D, then f is a one-to-one mapping
from A onto its image B.We
can also show that, ifis
a one-to-one mapping from A onto
B andis
a one-to-one mapping from B onto
S, then the composite mappingis
a one-to-one mapping from A onto
S.
We usually indicate the inverse of
by the symbol
.If
the domains of
and
are A and B
respectively, then we write
for
all,and
for
all.
Also, forand.
iff,and
iff.
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