-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmth305.tex
515 lines (453 loc) · 18.9 KB
/
mth305.tex
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
%% LyX 2.3.6 created this file. For more info, see http://www.lyx.org/.
%% Do not edit unless you really know what you are doing.
\documentclass[12pt,english]{extarticle}
\usepackage{ae,aecompl}
\usepackage[T1]{fontenc}
\usepackage[latin9]{inputenc}
\usepackage{geometry}
\geometry{verbose,tmargin=1in,bmargin=1in,lmargin=1in,rmargin=1in}
\setlength{\parskip}{\bigskipamount}
\setlength{\parindent}{0pt}
\usepackage{amsmath}
\usepackage{amsthm}
\usepackage{amssymb}
\usepackage{setspace}
\setstretch{1.1}
\makeatletter
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Textclass specific LaTeX commands.
\numberwithin{equation}{section}
\theoremstyle{definition}
\newtheorem*{example*}{\protect\examplename}
\theoremstyle{plain}
\newtheorem{thm}{\protect\theoremname}[section]
\@ifundefined{date}{}{\date{}}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% User specified LaTeX commands.
\AtBeginDocument{
\addtolength{\abovedisplayskip}{0ex}
\addtolength{\abovedisplayshortskip}{0ex}
\addtolength{\belowdisplayskip}{0ex}
\addtolength{\belowdisplayshortskip}{0ex}
}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}{Lemma}[section]
\makeatother
\usepackage{babel}
\providecommand{\examplename}{Example}
\providecommand{\theoremname}{Theorem}
\begin{document}
\title{Complex Analysis}
\author{Ronald Mangang}
\maketitle
\begin{abstract}
\noindent Complex analysis investigates functions of complex variables.
Holomorphic functions (also called analytic functions) are the heart
of complex analysis. These functions behave very nicely --- for instance,
they are infinitely differentiable and are equal to their own Taylor
series. These notes are taken during a spring 2022 undergrad course
of MTH305: Complex Analysis course at IISER Mohali.
\end{abstract}
\newpage
\section{Complex numbers}
\subsection{Algebra of complex numbers}
Using elementary algebra, one finds the square root of a complex number
$\alpha+i\beta$ as
\begin{equation}
\sqrt{\alpha+i\beta}=\pm\left(\sqrt{\frac{\alpha+\sqrt{\alpha^{2}+\beta^{2}}}{2}}+i\frac{\beta}{|\beta|}\sqrt{\frac{-\alpha+\sqrt{\alpha^{2}+\beta^{2}}}{2}}\right)
\end{equation}
provided that $\beta\ne0$. If $\beta=0$ the square roots are $\pm\sqrt{\alpha}$
if $\alpha\geq0$, $\pm i\sqrt{-\alpha}$ if $\alpha<0$.
A complex number $\alpha+i\beta$ may be represented in various ways.
It can be associated to the coordinate $(\alpha,\beta)$ in the two-dimensional
plane or the matrix
\[
\begin{pmatrix}\alpha & \beta\\
-\beta & \alpha
\end{pmatrix}.
\]
One can verify that these representations are all isomorphic to one
another. $\mathbb{C}$ can also be thought as the field $\mathbb{R}[x]/(x^{2}+1)$.
The absolute value (or modulus) has the following properties
\begin{align}
|z_{1}+z_{2}|^{2} & =|z_{1}|^{2}+|z_{2}|^{2}+2\text{ Re }z_{1}\bar{z_{2}},\\
|z_{1}-z_{2}|^{2} & =|z_{1}|^{2}+|z_{2}|^{2}-2\text{ Re }z_{1}\bar{z_{2}}.
\end{align}
The triangle inequality is particularly important and shows that $\mathbb{C}$
is a metric space.
\begin{equation}
|z_{1}+z_{2}|\leq|z_{1}|+|z_{2}|.
\end{equation}
Cauchy-Schwarz inequality states that
\begin{equation}
|\sum_{j=1}^{n}a_{j}b_{j}|^{2}\leq\sum_{j=1}^{n}|a_{j}|^{2}\sum_{j=1}^{n}|b_{j}|^{2}.
\end{equation}
for complex numbers $a_{j}$ and $b_{j}$.
\subsection{Geometry of complex numbers}
\textbf{de Moivre's formula. }The following formula gives an easy
way to express $\cos n\phi$ and $\sin n\phi$ in terms of $\cos\phi$
and $\sin\phi$.
\begin{equation}
(\cos\phi+i\sin\phi)^{n}=\cos n\phi+i\sin n\phi.
\end{equation}
It follows from the above formula that the $n$th roots of a complex
number $z=r(\cos\phi+i\sin\phi)$ are given by
\begin{equation}
\sqrt[n]{z}=\sqrt[n]{r}\left[\cos\left(\frac{\phi}{n}+k\frac{2\pi}{n}\right)+\sin\left(\frac{\phi}{n}+k\frac{2\pi}{n}\right)\right].
\end{equation}
where $k=0,1,\ldots,n-1$. These $n$th roots are the vertices of
a regular $n$-gon. For a particularly interesting case, set
\begin{equation}
\omega=\cos\frac{2\pi}{n}+i\sin\frac{2\pi}{n}.
\end{equation}
Then the $n$th roots of unity are $1,\omega,\omega^{2},\ldots,\omega^{n-1}$.
\textbf{Analytic geometry. }Often analytic geometry on the complex
plane gives an easier or more elegant way to solve problems than using
$x$ and $y$ in $\mathbb{R}^{2}.$
A directed line $z=a+bt$ determines a right half plane consisting
of all points $z$ with $\text{Im }(z-a)/b<0$ and a left half plane
with $\text{Im }(z-a)/b>0$.
\textbf{The Riemann sphere. }Consider the unit sphere $S$ in the
three-dimensional space given by $x_{1}^{2}+x_{2}^{2}+x_{3}^{3}=1$.
To each $(x_{1},x_{2},x_{3})$ on $S$ except $(0,0,1)$ we associate
a complex number
\begin{equation}
z=\frac{x_{1}+ix_{2}}{1-x_{3}}.
\end{equation}
This correspondence is one-one. A little computation yields
\begin{equation}
x_{1}=\frac{z+\bar{z}}{1+|z|^{2}},\ x_{2}=\frac{z-\bar{z}}{i(1+|z|^{2})},\ x_{3}=\frac{|z|^{2}-1}{|z|^{2}+1}.
\end{equation}
The correspondence is completed by associating the point at $\infty$
to $(0,0,1)$. This way we regard the sphere as a representation of
the extended complex plane. The hemisphere $x_{3}<0$ corresponds
to the disk $|z|<1$ and the hemisphere $x_{3}>0$ to its outside
$|z|>1.$
\section{Holomorphic functions}
\subsection{Differentiation of complex functions}
Suppose $f$ is a complex-valued function of a single complex variable
$z$. The derivative of $f$ at a point $z_{0}$ in its domain is
defined by the limit:
\begin{equation}
f^{\prime}(z_{0})=\lim_{z\to z_{0}}\frac{f(z)-f(z_{0})}{z-z_{0}}.
\end{equation}
For the limit to exist, it must have the same value for any sequence
of complex values for $z$ that approach $z_{0}$ on the complex plane.
Just like real differentiability, complex differentiability is linear
and obeys the product rule, quotient rule and the chain rule.
The function $f$ is said to be holomorphic on an open set $U$ if
$f$ is complex differentiable at every point in $U$. If $f$ is
complex differentiable on some open neighbourhood of $z_{0}$, $f$
is said to be holomorphic at $z_{0}$.
\begin{example*}
\begin{flushleft}
The function $f(z)=|z|^{2}$ is complex differentiable at exactly
one point $(z_{0}=0)$. Thus it is not holomorphic at $0$.
\par\end{flushleft}
\end{example*}
\subsection{Cauchy-Riemann equations}
Suppose $f(x+iy)=u+iv$ is a holomorphic function. Then
\begin{equation}
\frac{\partial u}{\partial x}=\frac{\partial v}{\partial y}\ \text{ and }\ \frac{\partial u}{\partial y}=-\frac{\partial v}{\partial x}.
\end{equation}
These are called the Cauchy-Riemann equations.
A holomorphic function also satisfies:
\begin{equation}
\frac{\partial f}{\partial\bar{z}}=0.
\end{equation}
which implies that $f$ is functionally independent from $\bar{z}$.
If a function $f(z)=u+iv$ satisfies the Cauchy-Riemann equations
and if the partial derivates are also continuous then $f$ is holomorphic.
The derivative of $f$ is given by:
\begin{equation}
f^{\prime}(z)=\frac{\partial u}{\partial x}+i\frac{\partial v}{\partial x}.
\end{equation}
Using the Cauchy-Riemann equations, $f^{\prime}(z)$ can be written
in four different ways. Also,
\[
|f^{\prime}(z)|^{2}=\left(\frac{\partial u}{\partial x}\right)^{2}+\left(\frac{\partial u}{\partial y}\right)^{2}=\frac{\partial u}{\partial x}\frac{\partial v}{\partial y}-\frac{\partial u}{\partial y}\frac{\partial v}{\partial x}.
\]
That is, $|f^{\prime}(z)|^{2}$ is the Jacobian of $u$ and $v$ with
respect to $x$ and $y$.
\textbf{Laplace's equation.} If $f(z)=u+iv$ is holomorphic then $u(x,y)$
and $v(x,y)$ satisfy the Laplace's equation:
\begin{equation}
\frac{\partial^{2}u}{\partial x^{2}}+\frac{\partial^{2}v}{\partial y^{2}}=0\ \text{ and }\ \frac{\partial^{2}v}{\partial x^{2}}+\frac{\partial^{2}v}{\partial y^{2}}=0.
\end{equation}
Any function that satisfies the Laplace's equation is said to be harmonic.
If two harmonic functions $u$ and $v$ satisfy the Cauchy-Riemann
equations, then $v$ is said to be the conjugate harmonic function
of $u$ and $u$ is the conjugate harmonic function of $-v$.
The conjugate of a harmonic function can be found by integration.
It is determined only upto an additive constant.
There is another way to compute the holomorphic function $f(z)$ whose
real part is a given harmonic function $u(x,y)$ without use of integration.
We treat $\bar{f}(\bar{z})$, the conjugate of $f(z)$, as a function
of $\bar{z}$ only and write
\[
u(x,y)=\frac{1}{2}\left[f(x+iy)+\bar{f}(x-iy)\right].
\]
This is a formal identity and it holds even when $x$ and $y$ are
complex. If we substitute $x=z/2,y=z/2i$ we obtain
\[
u\left(\frac{z}{2},\frac{z}{2i}\right)=\frac{1}{2}\left[f(z)+\bar{f}(0)\right].
\]
Since $f(z)$ is only determined up to a purely imaginary constant,
we assume that $f(0)$ is real, which implies $\bar{f}(0)=u(0,0)$.
Then $f(z)$ can be computed by
\[
f(z)=2u\left(\frac{z}{2},\frac{z}{2i}\right)-u(0,0).
\]
A purely imaginary constant can be added at will.
\subsection{Polynomials and rational functions}
\textbf{Polynomials. }Consider the $n$th degree polynomial in complex
coefficients:
\begin{equation}
P(z)=a_{0}+a_{1}z+\cdots+a_{n}z^{n}.\label{eq:poly}
\end{equation}
where $a_{n}\neq0$. It is trivial to see that $P(z)$ is holormorphic.
We can write
\begin{equation}
P(z)=a_{n}(z-\alpha_{1})\cdots(z-\alpha_{n}).\label{eq:polyfacto}
\end{equation}
This factorization is unique except for the order of the factors.
If $\alpha_{i}$ repeats $k$ times $(k\leq n)$ then we say the order
of the zero $\alpha_{i}$ is $k$.
Suppose $\alpha$ is a zero of order $k$. Then $P(z)=(z-\alpha)^{k}P_{k}(z)$
where $P_{k}(\alpha)\neq0$. Also, $P(\alpha)=P^{\prime}(\alpha)=\cdots=P^{(k-1)}(\alpha)=0$
and $P^{(k)}(\alpha)\neq0$ (by successive differentiation). A simple
zero is a zero of order $1$ and it satisfies $P(\alpha)=0,P^{\prime}(\alpha)\neq0$.
\begin{thm}[Lucas's theorem]
If all zeroes of a polynomial $P(z)$ lie in a half plane, then all
zeroes of the derivative $P^{\prime}(z)$ lie in the same half plane.
\end{thm}
\begin{proof}
From \ref{eq:polyfacto} we obtain
\begin{equation}
\frac{P^{\prime}(z)}{P(z)}=\frac{1}{z-\alpha_{1}}+\cdots+\frac{1}{z-\alpha_{n}}.
\end{equation}
{[}ADD MORE CONTENT{]}
\end{proof}
\textbf{Rational functions. }Consider the rational function
\[
R(z)=\frac{P(z)}{Q(z)}.
\]
where $P(z)$ and $Q(z)$ has no common factors. We put $R(z)=\infty$
when $Q(z)=0$ such that $R(z)$ is continuous in the extended complex
plane. The zeroes of $Q(z)$ are poles of $R(z)$ and the order of
a pole is equal to the order of the corresponding zero of $Q(z)$.
The derivative
\begin{equation}
R^{\prime}(z)=\frac{P^{\prime}(z)Q(z)-Q^{\prime}(z)P(z)}{Q(z)^{2}}.
\end{equation}
exists when $Q(z)\ne0$. As a rational function, $R^{\prime}(z)$
has the same poles as that of $Q(z)$.
To define $R(\infty)$ we put $R(1/z)=R_{1}(z)$ and equate $R(\infty)=R_{1}(0).$
Suppose
\[
R(z)=\frac{a_{0}+a_{1}z+\cdots+a_{n}z^{n}}{b_{0}+b_{1}z+\cdots+b_{m}z^{m}}.
\]
Then
\[
R_{1}(z)=z^{m-n}\frac{a_{0}z^{n}+\cdots+a_{n}}{b_{0}z^{m}+\cdots+b_{m}}.
\]
If $m>n$ $R(z)$ has a zero of order $m-n$ at $\infty$, if $m<n$
the point at $\infty$ is a pole of order $n-m$ and if $m=n$ $R(\infty)=a_{n}/b_{n}$.
The number of zeroes, including those at $\infty$, is equal to $\max(m,n)$.
The number of poles is the same. This common number is called the
order of $R(z)$.
$R(z)-a$ and $R(z)$ have the same order for a constant $a$. Thus
a rational funcrtion $R(z)$ of order $p$ has $p$ zeroes and $p$
poles, and every equation $R(z)=a$ has exactly $p$ roots.
Rational functions of order $1$ are called linear transformations.
The linear transformation $z+a$ is called a parallel translation
and $1/z$ is an inversion.
\textbf{Partial fractions. }Suppose $Q(z)$ is a polynomial with distinct
roots $\alpha_{1},\ldots,\alpha_{n}$ and if $P(z)$ is a polynomial
of degree $<n$ then
\begin{equation}
\frac{P(z)}{Q(z)}=\sum_{k=1}^{n}\frac{P(\alpha_{k})}{Q^{\prime}(\alpha_{k})(z-\alpha_{k})}.
\end{equation}
This is also called Heavyside's cover-up method of decomposing a rational
function into partial fractions. We can also write
\[
\frac{P(z)}{Q(z)}=\sum_{k=1}^{n}\frac{A_{k}}{(z-\alpha_{k})}
\]
where $A_{k}$ are constants and use the method of undetermined coefficients
to compute $A_{k}$. If $\alpha_{s}$ is a zero of order $p$ and
every other zero is of order $1$ then we put
\[
\frac{P(z)}{Q(z)}=\sum_{k=1,k\ne s}^{n}\frac{A_{k}}{(z-\alpha_{k})}+\frac{A_{s1}}{(z-\alpha_{s})}+\frac{A_{s2}}{(z-\alpha_{s})^{2}}+\cdots+\frac{A_{sp}}{(z-\alpha_{s})^{p}}.
\]
We do the same for every zero of order $>1$.
\subsection{Power series}
\textbf{Sequences. }Often it becomes difficult to prove convergence
of sequence through explicitly determining its limit. An easier way
is to prove that it is a Cauchy sequence.
Suppose $\{b_{n}\}$ and $\{a_{n}\}$ are two sequences such that
$|b_{m}-b_{n}|\leq|a_{m}-a_{n}|$ for all pairs of subscripts then
under Cauchy's condition, if $\{a_{n}\}$ is a Cauchy sequence, so
is $\{b_{n}\}$.
\textbf{Series. }To an infinite series
\begin{equation}
a_{1}+a_{2}+\cdots+a_{n}+\cdots\label{eq:series}
\end{equation}
we associate a sequence of partial sums
\begin{equation}
s_{n}=a_{1}+a_{2}+\cdots+a_{n}.
\end{equation}
The series converges iff the sequence of its partial sums converges
and the limit of the sequence is the sum of the series.
The series \ref{eq:series} can be associated with another series
\begin{equation}
|a_{1}|+|a_{2}|+\cdots+|a_{n}|+\cdots.\label{eq:abseries}
\end{equation}
Since $|a_{n}+a_{n+1}+\cdots+a_{n+p}|\leq|a_{n}|+|a_{n+1}|+\cdots+|a_{n+p}|$,
the convergence of \ref{eq:abseries} implies that the original series
\ref{eq:series} is convergent. A series with the property that the
series formed by the absolute values of the terms converges is said
to be absolutely convergent.
\textbf{Uniform convergence vs. pointwise convergence. }Consider the
limit
\[
\lim_{n\to\infty}\left(1+\frac{1}{n}\right)x=x.
\]
This is true for all $x$. However, to have $|(1+1/n)x-x|=|x|/n<\epsilon$
for $n\geq n_{0}$ it is necessary that $n_{0}>|x|/\epsilon$. Such
an $n_{0}$ exists for every fixed $x$ but the requirement cannot
be met simultaneously for all $x$. This is the case of pointwise
convergence.
A sequence $\{f_{n}(x)\}$ converges uniformly to $f(x)$ on the set
$E$ if to every $\epsilon>0$ there exists an $n_{0}$ such that
$|f_{n}(x)-f(x)|<\epsilon$ for all $n\geq n_{0}$ and all $x$ in
$E$. Unlike pointwise convergence, $n_{0}$ does not depend of $x$.
Cauchy's condition for uniform convergence would then be: the sequence
$\{f_{n}(x)\}$ converges uniformly on $E$ iff to every $\epsilon>0$
there exists an $n_{0}$ such that $|f_{m}(x)-f_{n}(x)|<\epsilon$
for all $m,n\geq n_{0}$ and all $x$ in $E$.
Also if $|f_{m}(x)-f_{n}(x)|\leq|a_{m}-a_{n}|$ on $E$ and $\{a_{n}\}$
is convergent then $\{f_{n}(x)\}$ converges uniformly on $E$.
A series with variable terms
\[
f_{1}(x)+f_{2}(x)+\cdots+f_{n}(x)+\cdots
\]
has the series with positive terms
\[
a_{1}+a_{2}+\cdots+a_{n}+\cdots
\]
for a majorant if $|f_{n}(x)|\leq Ma_{n}$ for some constant $M$
and for all sufficiently large $n$. The first series is a minorant
of the second. Then
\[
|f_{n}(x)+f_{n+1}(x)+\cdots+f_{n+p}(x)|\leq M(a_{n}+a_{n+1}+\cdots+a_{n+p}).
\]
If the majorant converges, the minorant converges uniformly. This
is called the Weierstrass M test.
\textbf{Power series. }For every power series
\begin{equation}
a_{0}+a_{1}z+\cdots+a_{n}z^{n}+\cdots,
\end{equation}
where $a_{i},z\in\mathbb{C}$, there exists $R$, $0\leq R\leq\infty$,
called the radius of covergence such that
\begin{enumerate}
\item The series converges absolutely for every $z$ with $|z|<R$. If $0\leq\rho<R$
the convergence is uniform for $|z|\leq\rho$.
\item If $|z|>R$ the series diverges.
\item In $|z|<R$ the sum of the series is analytic whose derivative can
be obtained by termwise differentiation and the derived series has
the same radius of convergence.
\end{enumerate}
Hadamard's formula gives
\begin{equation}
\frac{1}{R}=\lim_{n\to\infty}\sup\sqrt[n]{|a_{n}|}.
\end{equation}
It follows that a power series with positive $R$ has derivatives
of all orders.
\begin{thm}[Abel's limit theorem]
If $\sum_{n=0}^{\infty}a_{n}$ converges, then $f(z)=\sum_{n=0}^{\infty}a_{n}z^{n}\to f(1)$
as $z\to1$ in such a way that $|1-z|/(1-|z|)$ remains bounded.
\end{thm}
\subsection{Euler's formula}
\textbf{The exponential. }The solution to the differential equation
$f^{\prime}(z)=f(z)$ with the initial value $f(0)=1$ can be found
by representing $f(z)$ as a power series and differentiating it.
We call this solution the exponential $e^{z}$. We find that
\begin{equation}
e^{z}=1+z+\frac{z^{2}}{2!}+\cdots+\frac{z^{n}}{n!}+\cdots
\end{equation}
Since $\sqrt[n]{n!}\to\infty$ the exponential $e^{z}$ converges
in the whole complex plane.
A consequence of the differential equation is
\begin{equation}
e^{a+b}=e^{a}\cdot e^{b}.
\end{equation}
Since $e^{z}\cdot e^{-z}=1$ it is clear that $e^{z}$ is never $0$.
Since the series has real coefficients $e^{\bar{z}}$ is the complex
conjugate of $e^{z}$. Hence $|e^{iy}|^{2}=e^{iy}\cdot e^{-iy}=1$
and $|e^{x+iy}|=e^{x}$.
\textbf{The trigonometric functions. }The trigonometric functions
are defined by
\begin{equation}
\cos z=\frac{e^{iz}+e^{-iz}}{2},\ \sin z=\frac{e^{iz}-e^{-iz}}{2i}.
\end{equation}
Using the expansion of $e^{z}$ we obtain
\begin{align*}
\cos z & =1-\frac{z^{2}}{2!}+\frac{z^{4}}{4!}-\cdots\\
\sin z & =z-\frac{z^{3}}{3!}+\frac{z^{5}}{5!}-\cdots
\end{align*}
Also we obtain Euler's formula
\begin{equation}
e^{iz}=\cos z+i\sin z.
\end{equation}
All the trigonometric identities including the definitions of other
trigonometric functions can be derived. All trigonometric functions
are rational functions of $e^{iz}.$
\textbf{The logarithm. }By definition, $z=\log w$ is a root of the
equation $e^{z}=w$. For $w\ne0$ the equation $e^{x+iy}=w$ is equivalent
to
\begin{equation}
e^{x}=|w|,\ \ \ \ e^{iy}=\frac{w}{|w|}.
\end{equation}
Then $x=\log|w|$. Also there is only one $y$ satisfying the above
equation in the interval $0\leq y<2\pi.$ Of course, it has period
$2\pi$. Thus
\[
\log w=\log|w|+i\arg w.
\]
Every complex number other than $0$ has infinitely many logarithms
which differ from each other by multiples of $2\pi i$. Also if $a\ne0$
we write
\[
a^{b}=e^{b\log a}.
\]
See that if \textbf{$a$ }is complex and \textbf{$b$ }is a rational
number in the reduced form $p/q$ then $a^{b}$ will have exactly
$q$ values.
The addition theorem of the exponential function yields
\begin{align*}
\log(z_{1}z_{2}) & =\log z_{1}+\log z_{2}\\
\arg(z_{1}z_{2}) & =\arg z_{1}+\arg z_{2},
\end{align*}
in the sense that both sides represent the same infinite set of complex
numbers. If we want to compare a value on the left with a value on
the right, then we can merely assert that they differ by a multiple
of $2\pi i$ (or $2\pi)$.
\textbf{The inverse trigonometric functions. }The inverse cosine can
be obtained by solving the equation
\[
\cos z=\frac{1}{2}(e^{iz}+e^{-iz})=w
\]
which is a quadratic equation in $e^{iz}$ with the roots $e^{iz}=w\pm\sqrt{w^{2}-1}$
and hence
\[
z=\arccos w=-i\log(w\pm\sqrt{w^{2}-1}).
\]
Since $w+\sqrt{w^{2}-1}$ and $w-\sqrt{w^{2}-1}$ are reciprocal numbers
we may write
\[
\arccos w=\pm i\log(w+\sqrt{w^{2}-1}).
\]
The inverse sine can then be defined by
\[
\arcsin w=\frac{\pi}{2}-\arccos w.
\]
\section{Mappings}
\end{document}