Mathematics of complex variables, plus history.
This presentation is at a Undergraduate in Science (Math, Physics, Engineering) level.
Please send comments and suggestions to solo.hermelin@gmail.com, thanks! For more presentations, please visit my website at http://www.solohermelin.com
For a system involving two variables (x and y), each linear equation determines a line on the xy-plane. Because a solution to a linear system must satisfy all of the equations, the solution set is the intersection of these lines, and is hence either a line, a single point, or the empty set
Laurent's Series & Types of SingularitiesAakash Singh
Detailed explanation of Laurent's series and various types of singularities like Essential Singularity, Removable Singularity, Poles, Isolated Singularity, etc.
For a system involving two variables (x and y), each linear equation determines a line on the xy-plane. Because a solution to a linear system must satisfy all of the equations, the solution set is the intersection of these lines, and is hence either a line, a single point, or the empty set
Laurent's Series & Types of SingularitiesAakash Singh
Detailed explanation of Laurent's series and various types of singularities like Essential Singularity, Removable Singularity, Poles, Isolated Singularity, etc.
Series solution of ordinary differential equation
advance engineering mathematics
The power series method is the standard method for solving linear ODEs with variable
coefficients. It gives solutions in the form of power series. These series can be used for computing values, graphing curves, proving formulas, and exploring properties of
solutions, as we shall see.
In this slide fourier series of Engineering Mathematics has been described. one Example is also added for you. Hope this will help you understand fourier series.
LINEAR DIFFERENTIAL EQUATION & BERNOULLI`S EQUATIONTouhidul Shawan
This slide is about LINEAR DIFFERENTIAL EQUATION & BERNOULLI`S EQUATION. It is one of the important parts of mathematics. This slide will help you to understand the basis of these two parts one Linear Differential Equation and other Bernoulli`s equation.
Analytic Function, C-R equation, Harmonic function, laplace equation, Construction of analytic function, Critical point, Invariant point , Bilinear Transformation
Series solution of ordinary differential equation
advance engineering mathematics
The power series method is the standard method for solving linear ODEs with variable
coefficients. It gives solutions in the form of power series. These series can be used for computing values, graphing curves, proving formulas, and exploring properties of
solutions, as we shall see.
In this slide fourier series of Engineering Mathematics has been described. one Example is also added for you. Hope this will help you understand fourier series.
LINEAR DIFFERENTIAL EQUATION & BERNOULLI`S EQUATIONTouhidul Shawan
This slide is about LINEAR DIFFERENTIAL EQUATION & BERNOULLI`S EQUATION. It is one of the important parts of mathematics. This slide will help you to understand the basis of these two parts one Linear Differential Equation and other Bernoulli`s equation.
Analytic Function, C-R equation, Harmonic function, laplace equation, Construction of analytic function, Critical point, Invariant point , Bilinear Transformation
Complex Analysis - Differentiability and Analyticity (Team 2) - University of...Alex Bell
Presentation delivered by students at the University of Leicester on complex differentiablility and analyticity as part of the Complex Analysis module (third year).
On the Seidel’s Method, a Stronger Contraction Fixed Point Iterative Method o...BRNSS Publication Hub
In the solution of a system of linear equations, there exist many methods most of which are not fixed point iterative methods. However, this method of Sidel’s iteration ensures that the given system of the equation must be contractive after satisfying diagonal dominance. The theory behind this was discussed in sections one and two and the end; the application was extensively discussed in the last section.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
2. 2
SOLO Complex Variables
Table of Contents
Set of Numbers – Examples
Fundamentals Operations with Complex Numbers z = x + i y
Axiomatic Foundations of the Complex Number System ( ) R∈= babaz ,,
History of Complex Numbers
Derivatives
Cauchy-Riemann Equations
Harmonic Functions
Orthogonal Families
Singular Points
Complex Line Integrals
Simply and Multiply Connected Regions
Green’s Theorem in the Plane
Consequences of Green’s Theorem in the Plane
Cauchy’s Theorem
Cauchy-Goursat Theorem
Consequences of Cauchy-Goursat Theorem
3. SOLO Complex Variables
Table of Contents (continue - 1)
Cauchy’s Integral Formulas and Related Theorems
Cauchy’s Integral Formulas
Cauchy’s Integral Formulas for the n Derivative of a Function
Morera’s Theorem (the converse of Cauchy’s theorem)
Cauchy’s Inequality
Liouville’s Theorem
Foundamental Theorem of Algebra
Gauss’ Mean Value Theorem
Maximum Modulus Theorem
Minimum Modulus Theorem
Poisson’s Integral Formulas for a Circle
Poisson’s Integral Formulas for a Half Plane
4. 4
SOLO Complex Variables
Table of Contents (continue - 2)
Theorems of Convergence of Sequences and Series
Convergence Tests
Cauchy Root Test
D’Alembert or Cauchy Ratio Test
Maclaurin or Euler Integral Test
Kummer’s Test
Raabe’s Test
Gauss’ s Test
Infinite Series, Taylor’s and Laurent Series
Infinite Series of Functions
Absolute Convergence of Series of Functions
Uniformly Convergence of Sequences and Series
Weierstrass M (Majorant) Test
Abel’s Test
Uniformly Convergent Series of Analytic Functions
Taylor’s Series
Laurent’s Series (1843)
5. 5
SOLO Complex Variables
Table of Contents (continue - 3)
5
The Argument Theorem
Rouché’s Theorem
Foundamental Theorem of Algebra (using Rouché’s Theorem)
Zeros of Holomorphic Functions
Theorem: f(z) Analytic and Nonzero → ln|f(z)| Harmonic
Polynomial Theorem
Jensen’s Formula
Poisson-Jensen’s Formula for a Disk
6. 6
SOLO Complex Variables
Table of Contents (continue - 4)
Calculation of the Residues
The Residue Theorem, Evaluations of Integral and Series
The Residue Theorem
Evaluation of Integrals
Jordan’s Lemma
Integral of the Type Bromwwich-Wagner
Integral of the Type ,F (sin θ, cos θ) is a
rational function of sin θ and cos θ
( )∫
π
θθθ
2
0
cos,sin dF
Definite Integrals of the Type .( )∫
+∞
∞−
xdxF
Cauchy’s Principal Value
Differentiation Under Integral Sign, Leibnitz’s Rule
Summation of Series
Infinite Products
The Mittag-Leffler and Weierstrass , Hadamard Theorems
The Weierstrass Factorization Theorem
The Hadamard Factorization Theorem
Mittag-Leffler’s Expansion Theorem
Analytic Continuation
Conformal Mapping
7. 7
SOLO Complex Variables
Douglas N. Arnold
Gamma Function
Bernoulli Numbers
Fourier Transform
Laplace Transform
Z Transform
Mellin Transform
Hilbert Transform
Zeta Function
Table of Contents (continue - 5)
Applications of Complex Analysis
References
8. 8
SOLO Algebra
Set of Numbers – Examples
{ }+∞<<∞−= xnumberrealaisxx ,:R Set of real numbers
{ }+∞<<−∞−=+== yxiyixznumbercomplexaiszzC ,,1,,: Set of complex numbers
{ } ,3,2,1,0,1,2,3,,: −−−= integeranisiiZ
Set of integers
{ },3,2,1,0,0: integernaturalaisnnN ≥= Set of positive integers
or natural numbers
{ }0,,,/: ≠∈== qZqpwhereqprrQ Set of rational numbers
We have:
CZN ⊂⊂⊂ R
{ }QxxIR −∈= R: Set of irrational numbers
∅== IRQIRQ &R
9. 9
SOLO Complex Variables
Complex numbers can result by solving algebraic equations
a
cabb
x
2
42
1
−−−
=
a
cabb
x
2
42
2
−+−
=
042
>−=∆ cab
a
b
xx
2
21
−
==
042
=−=∆ cab
042
<−=∆ caby
x
cxbxay ++= 2
a
bcaib
x
2
4 2
2,1
−+−
=
y
x
dxcxbxay +++= 23
Three real roots for y = 0
One real & two complex
roots for y = 0
πki
ez 25
1==
y
x
5
2
2
π
i
ez =
5
2
2
2
π
i
ez =
5
2
3
3
π
i
ez =
5
2
4
4
π
i
ez =
11
=z
72
72
72
72
72
1. Quadratic equations
2. Cubic equations
3. Equation
Examples
02
=++ cxbxa
023
=+++ dxcxbxa
015
=−x
Return to Table of Contents
10. 10
SOLO Complex Variables
Fundamentals Operations with Complex Numbers z = x + i y
( )
1
,sincos
, 2
−=
==+
==+
= i
ArgumentModulusi
partImaginaryypartRealxyix
z
θρθθρ
θ
ρ i
eyixz =+=
y
x
ρ
θ
Division
Addition ( ) ( ) ( ) ( )dbicadicbia +++=+++
Subtraction ( ) ( ) ( ) ( )dbicadicbia −+−=+−+
Multiplication ( ) ( ) ( ) ( )cbdaidbcadbicbidaicadicbia ++−=+++=++ 2
( )
( )
( )
( )
( )
( )
( ) ( )
( ) ( )dccdidc
dacbidbca
dic
dic
dic
bia
dic
bia
−++
−++
=
−
−
+
+
=
+
+
22
( )
( )
( )
( )
( )
( )
022
2222
≠+
+
−
+
+
+
=
+
+
dc
dc
dacb
i
dc
dbca
dic
bia
Conjugate ( )θθρ sincos:*
iyixz −=−=
Absolute Value ρ==+= *22
: zzyxz
θ
ρ i
eyixz −
=−=:*
θ
ρ i
eyixz =+=:
x
y
ρ
ρ
θ
θ−
11. 11
SOLO Complex Variables
Fundamentals Operations with Complex Numbers z = x + i y
θ
ρ i
eyixz =+=
y
x
ρ
θ
Polar Form of a Complex Number
Multiplication
Division
( )2121
212121
θθθθ
ρρρρ +
=⋅=⋅ iii
eeezz
*22
zzyxz =+==ρ
( )θθρ sincos: iyixz +=+=
( )xy /tan 1−
=θ
( )2121
212121 /// θθθθ
ρρρρ −
== iii
eeezz
Euler’s Formula
( ) ( ) ( )
( )
( )
( )
( )
( )θθ
θθθθθθ
θθθ
θθ
θ
sincos
!12
1
!3!1!2
1
!4!2
1
!!2!1
1
sin
123
cos
242
2
i
k
i
k
n
iii
e
k
k
k
k
n
i
+=
+
+
−++−++−+++−=
+++++=
+
Leonhard Euler
1707- 1783
( )
1
,sincos
, 2
−=
==+
==+
= i
ArgumentModulusi
partImaginaryypartRealxyix
z
θρθθρ
12. 12
SOLO Complex Variables
Fundamentals Operations with Complex Numbers z = x + i y
1
,
, 2
−=
==
==+
= i
ArgumentModuluse
partImaginaryypartRealxyix
z i
θρρ θ
θ
ρ i
eyixz =+=
y
x
ρ
θ
Polar Form of a Complex Number θ
ρ i
eyixz =+=:
De Moivre Theorem
( )[ ] ( )
( )θθρρ
ρθθρ
θ
θ
nine
eiz
nnin
ninn
sincos
sincos
+==
=+=
Roots of a Complex Number
[ ]
( ) ( )[ ]
1.2.1.0
2
sin
2
cos
sincos
/1
/1/12/1
−=
+
+
+
=
+== +
nk
n
k
i
n
k
iez
n
nnkin
πθπθ
ρ
θθρρ πθ
πki
ez 25
1==
y
x
5
2
2
π
i
ez =
5
2
2
2
π
i
ez =
5
2
3
3
π
i
ez =
5
2
4
4
π
i
ez =
11
=z
72
72
72
72
72
Abraham De Moivre
1667 - 1754
Return to Table of Contents
13. 13
SOLO Complex Variables
Axiomatic Foundations of the Complex Number System ( ) R∈= babaz ,,
Definition of Complex System:
From those relation, for any complex numbers z1,z2,z3 ∈ C we obtain:
CzzCzzCzz ∈∀∈⋅∈+ 212121
,& Closure Law1
1221
zzzz +=+ Commutative Law of Addition2
( ) ( ) 312321
zzzzzz ++=++ Associative Law of Addition3
1221
zzzz ⋅=⋅ Commutative Law of Multiplication4
( ) ( ) 312321
zzzzzz ⋅⋅=⋅⋅ Associative Law of Multiplication5
( ) 3121321
zzzzzzz ⋅+⋅=+⋅ Distributive Law6
111
00 zzz =+=+ 111
11 zzz =⋅=⋅7
0.. 11
=+∈∃∈∀ zztsCzuniqueCz zz −=18
1..0 11
=⋅∈∃∈≠∀ zztsCzuniqueCz zzz /11
1
== −
9
Equality ( ) ( ) dbcadcba ==⇔= ,,,A
Sum ( ) ( ) ( ) ( )dbcadcba +++=+ ,,B
Product ( ) ( ) ( )cbdadbcadcba +−=⋅ ,,, ( ) ( ) R∈= mbmambam &,,C
Return to Table of Contents
14. 14
SOLO Complex Variables
History of Complex Numbers
Brahmagupta (598-670) writes Khandakhadyaka
(665) which solves quadratic equations and allows
for the possibility of negative solutions.
Brahmagupta
598 - 670
Brahmagupta also solves quadratic equations of the type
a x2
+ c = y2
and a x2
- c = y2
. For example he solves 8x2
+ 1 = y2
obtaining the solutions (x,y) = (1,3), (6,17), (35,99), (204,577),
(1189,3363), ... For the equation 11x2
+ 1 = y2
Brahmagupta
obtained the solutions (x,y) = (3,10), (161/5,534/5), ... He also
solves 61x2
+ 1 = y2
which is particularly elegant having x =
226153980, y = 1766319049 as its smallest solution.
15. 15
SOLO Complex Variables
History of Complex Numbers
Abraham bar Hiyya Ha-Nasi הנשיא חייא בר אברהם
writes the work Hibbur ha-Meshihah ve-ha-Tishboret
והתשבורת המשיחה חבור , translated in 1145 into Latin as Liber
embadorum, which presents the first complete solution to the
quadratic equation.
Abraham bar Hiyya Ha-Nasi (הנשיא חייא בר אברהם Abraham son of
[Rabbi] Hiyya "the Prince") (1070 - 1136?) was a Spaish Jewish
Mathematician and astronomer, also known as Savasorda (from the
Arabic الشرطة صاحب Sâhib ash-Shurta "Chief of the Guard"). He
lived in Barcelona.
Abraham bar iyya ha-NasiḤ [2]
(1070 – 1136 or 1145)
16. 16
SOLO Complex Variables
History of Complex Numbers
Nicolas Chuquet (1445 – 1488)
Chuquet wrote an important text Triparty en la science des nombres.
This is the earliest French algebra book .
The Triparty en la science des nombres (1484) covers arithmetic and
algebra. It was not printed however until 1880 so was of little
influence. The first part deals with arithmetic and includes work on
fractions, progressions, perfect numbers, proportion etc. In this work
negative numbers, used as coefficients, exponents and solutions,
appear for the first time. Zero is used and his rules for arithmetical
operations includes zero and negative numbers. He also uses x0 = 1
for any number x.
The sections on equations cover quadratic equations where he
discusses two solutions.
17. 17
SOLO Complex Variables
History of Complex Numbers
Girolamo Cardano
1501 - 1576
Nicolo Fontana Tartaglia
1500 - 1557
Solution of cubic equation x3
+ b x2
+c x +d = 0
The first person to solve the cubic equation x3
+b x = c was
Scipione del Ferro (1465 – 1526), but he told the solution only
to few people, including his student Antonio Maria Fior.
Nicolo Fontana Tartaglia, prompted by the rumors, manage
to solve the cubic equation x3
+b x2
= -d and made no secret of
his discovery.
Fior challenged Tartaglia, in 1535, to a public contest, each one
had to solve 30 problems proposed by the other in 40 to 50 days.
Tartaglia managed to solve his problems of type x3
+m x = n in
about two hours, and won the contest.
News of Tartaglia victory reached Girolamo Cardan in Milan,
where he was preparing to publish Practica Arithmeticae (1539).
Cardan invited Tartaglia to visid him and, after much persuasion,
made him to divulge his solution of the cubic equation. Tartaglia
made Cartan promise to keep the secret until Tartaglia had
published it himself.
18. 18
SOLO Complex Variables
History of Complex Numbers
Girolamo Cardano
1501 - 1576
Nicolo Fontana Tartaglia
1500 - 1557
Solution of cubic equation x3
+ b x2
+c x +d = 0
After Tartaglia showed Cardan how to solve cubic equations,
Cartan encouraged his student Lodovico Ferrari (1522 – 1565)
to use those result and solve quartic equations x4
+p x2
+q x +r=0.
Since Tartaglia didn’t publish his results and after hearing from
Hannibal Della Nave that Scipione del Ferro first solve cubic
equations, Cardan pubished in 1545 in Ars Magna (The Great Art)
the solutions of the cubic (credit given to Tartaglia) and quartic
equations.
This led to another competition between Tartaglia and
Cardano, for which the latter did not show up but was
represented by his student Lodovico Ferrari.
Ferrari did better than Tartaglia in the competition, and
Tartaglia lost both his prestige and income.
19. 19
SOLO Complex Variables
History of Complex Numbers
Solution of cubic equation x3
+ b x2
+c x +d = 0
023
=+++ dxcxbx
3/bxy −=
→
0
27
2
33
393
2
273333
33
2
3
3
22
32
23
23
=−+=
+−+
−+=
+−++−+−+−=+
−+
−+
−
−
nymyb
cb
dy
b
cy
d
cb
yc
b
ybyb
b
y
b
ybyd
b
yc
b
yb
b
y
nm
Equivalence between x3
+ b x2
+c x +d = 0 and y3
+m y = n (depressed cubic equation)
Solutions of y3
+m y = n
Start from the identity: ( ) ( ) nymybabababa
nymy
=+→−=−+− 3333
3
0
27273
3
3
36
3
3
333
=−−→−=−==→=
m
ana
a
m
aban
a
m
bbam
3
32
3,2,13,2,1
2742
mnn
wa +±=
+±
−
+±=−=
3
32
3
32
3,2,13,2,1
342
3
3423
mnn
m
mnn
w
a
m
ay
2
31
,
2
31
,13
3,2,1
ii
ew ki
k
+−
===
π
20. 20
SOLO Complex Variables
History of Complex Numbers
Solution of cubic equation x3
+ b x2
+c x +d = 0
++
+±=
−
−
+
−
+±=
+±
−
+±=−=
3
32
3
32
3,2,1
3
322
3
32
3
32
3,2,1
3
32
3
32
3,2,13,2,1
342342
322
342
3342
342
3
3423
mnnmnn
w
mnn
mnn
mmnn
w
mnn
m
mnn
w
a
m
ay
2
31
,
2
31
,1
342342
3
3,2,1
3
32
3
32
3,2,13,2,1
ii
ew
mnnmnn
wy ki
k
+−
==
+−+
++= =
π
Solutions of y3
+m y = n
Note:
Tartaglia and
Cardano knew
only the solution
w1 = 1
21. 21
SOLO Complex Variables
History of Complex Numbers
Solution of cubic equation x3
+ b x2
+c x +d = 0
A Solution of y3
+m y = n
Guess a solution:
−++= 33
huhuwy
( ) uzhuhuhuhuhuhuy 233 3 2333 23
+−=−+
−++−++=
Therefore:
+
=
=
→
−=−
=
32
3 2
32
2
3
2
mn
h
n
u
mhu
nu
+
−+
+
+= 3
32
3
32
3,2,13,2,1
322322
mnnmnn
wy
Where w are the roots of w3
=1:
2
31
,
2
31
,13,2,1
ii
w
+−
=
22. 22
SOLO Complex Variables
History of Complex Numbers
Solution of cubic equation x3
+ b x2
+c x +d = 0
Viète Solution of y3
+m y = n
François Viète
1540 - 1603
In 1591 François Viète gave another solution to y3
+m y = n
Start with identity CC
C
34cos3cos43cos 3
cos
3
−=−=
= θ
θθθ
Substitute in y3
+m y = nC
m
y
3
2 −=
3
3
3
2
1
3
3
3
2
34
3
2
3
8
3
−=−→=−+
−
−
m
n
CCnC
m
mC
m m
Assuming we obtain
323
32
1
3
2
≤
→≤
mn
m
n
φθ
πφθ
cos
3
2
3cos
23
3
k
m
n +=
=
−=
−=
+
−=−= −
3
1 3
2
cos
3
2
cos
3
2
3
2
m
nkm
C
m
y φ
πφ
23. 23
SOLO Complex Variables
History of Complex Numbers
Solution of cubic equation x3
+ b x2
+c x +d = 0
Comparison of Cardano and Viète Solution of y3
+m y = n
François Viète
1540 - 1603Cardano solution was
−=
+
−=+= −
3
1 3
2
cos
3
2
cos
3
2
m
nkm
ssy φ
πφ
Girolamo Cardano
1501 - 15763
32
3
32
342342
+−+
++=
mnnmnn
y
( )
−=
−=
++=
+=
−
+
3
1
2
3
32
3
3
2
cos
3
342
33
m
n
e
m
mnn
s
ssy ki
ss
φ
πφ
or
from which we recover Viète Solution
0s
φ
2
n
3
3
m
3
s
3
s
0
x
3/φ
1s
2s 0
s
2s
1
s
23
23
−
nm
3
z
120
120
120
24. 24
SOLO Complex Variables
History of Complex Numbers
Rafael Bombelli
1526 - 1572
John Wallis
1616 - 1703
In 1572 Rafael Bombelli published three of the intended five
volumes of “L’Algebra” worked with non-real solutions of the
quadratic equation x2
+b x+c=0 by using and
where and applying addition and multiplication rules.
vu 1−+ vu 1−−
( ) 11
2
−=−
In 1673 John Wallis presented a geometric picture of the complex
numbers resulting from the equation x2
+ b x + c=0, that is close
with what we sed today.
Wallis's method has the undesirable consequence that is represented by the same
point as is
1−−
1−
( )0,b−( )0,b−
bb
c
bb
c1
P
2P
2
P
1
P
Wallis representation of real roots of
quadratics
Wallis representation of non-real roots of
quadratics
25. 25
Vector Analysis HistorySOLO
Caspar Wessel
1745-1818
“On the Analytic Representation
of Direction; an Attempt”, 1799
bia +
Jean Robert Argand
1768-1822
1806
1−=i
3.R.S. Elliott, “Electromagnetics”,pp.564-568
http://www-groups.dcs.st-and.ac.uk/~history/index.html
Wessel's fame as a mathematician rests solely on
this paper, which was published in 1799, giving for
the first time a geometrical interpretation of
complex numbers. Today we call this geometric
interpretation the Argand diagram but Wessel's
work came first. It was rediscovered by Argandin
1806 and again by Gauss in 1831. (It is worth
noting that Gauss redid another part of Wessel's
work, for he retriangulated Oldenburg in around
1824.)
26. 26
SOLO Complex Variables
History of Complex Numbers
Leonhard Euler
1707- 1783
In 1748 Euler published “Introductio in Analysin Infinitorum” in
which he introduced the notation and gave the formula1−=i
xixeix
sincos +=
In 1751 Euler published his full theory of logarithms and complex
numbers. Euler discovered the Cauchy-Riemann equations in 1777
although d’Alembert had discovered them in 1752 while
investigating hydrodynamics.
Johann Karl Friederich Gauss published the first correct proof
of the fundamental theorem of algebra in his doctoral thesis of
1797, but still claimed that "the true metaphysics of the square
root of -1 is elusive" as late as 1825. By 1831 Gauss overcame
some of his uncertainty about complex numbers and published
his work on the geometric representation of complex numbers as
points in the plane.
Karl Friederich Gauss
1777-1855
27. 27
SOLO Complex Variables
History of Complex Numbers
Augustin Louis Cauchy
)1789-1857(
Cauchy is considered the founder of complex analysis after
publishing the Cauchy-Riemann equations in 1814 in his paper
“Sur les Intégrales Définies”. He created the Residue Theorem and
used it to derive a whole host of most interesting series and integral
formulas and was the first to define complex numbers as pairs of
real numbers.
Georg Friedrich Bernhard
Riemann
1826 - 1866
In 1851 Riemann give a dissertation in the theory of functions.
Return to Table of Contents
28. 28
SOLO Complex Variables
Derivatives
If f (z) is a single-valued in some region C of the z plane, the derivative of f (z) is
defined as:
( ) ( ) ( )
z
zfzzf
zf
z ∆
−∆+
=
→∆ 0
lim'
provided that the limit exists independent of the manner in which Δ z→0.
In such case we say that f (z) is differentiable at z.
Analytic Functions
If the derivative of f (z) exists at all points of a region C of the z plane, then f (z) is
said to be analytic in C.
analytic = regular = holomorphic
A function f (z) is said to be analytic at a point z0 if there exists a neighborhood
|z-z0 | < δ in which f ’ (z) exists.
z0
δ
Analytic functions have derivatives of any order
which themselves are analytic functions.
Return to Table of Contents
29. 29
SOLO Complex Variables
Derivatives
If f (z) is a single-valued in some region C of the z plane, the derivative of f (z) is
defined as:
( ) ( ) ( )
z
zfzzf
zf z
∆
−∆+
= →∆ 0
lim'
provided that the limit exists independent of the manner in which Δ z→0.
In such case we say that f (z) is differentiable at z.
Analytic Functions
If the derivative of f (z) exists at all points of a region C of the z plane, then f (z) is
said to be analytic in C.
analytic = regular = holomorphic
A function f (z) is said to be analytic at a point z0 if there exists a neighborhood
|z-z0 | < δ in which f ’ (z) exists.
z0
δ
Analytic functions have derivatives of any order
which themselves are analytic functions.
30. 30
SOLO Complex Variables
Analytic, Holomorphic, MeromorphicFunctions
Return to Table of Contents
A Meromorphic Function on an open subset D of the complex plane is a
function that is Holomorphic on all D except a set of isolated points, which are
poles for the function. (The terminology comes from the Ancient Greek meros
(μέρος), meaning “part”, as opposed to holos ( λος)ὅ , meaning “whole”.)
The word “Holomorphic" was introduced by two of Cauchy's students, Briot
(1817–1882) and Bouquet (1819–1895), and derives from the Greek λοςὅ
(holos) meaning "entire", and μορφή (morphē) meaning "form" or
"appearance".[2]
Today, the term "holomorphic function" is sometimes preferred to "analytic
function", as the latter is a more general concept. This is also because an
important result in complex analysis is that every holomorphic function is
complex analytic, a fact that does not follow directly from the definitions. The
term "analytic" is however also in wide use.
The Gamma Function is Meromorphic in the
whole complex plane
Poles
31. 31
SOLO Complex Variables
Cauchy-Riemann Equations
A necessary (but not sufficient) condition that f (z) = u (x,y) +i v (x,y) be
analytic in a region C, is that u and v satisfy the Cauchy-Riemann equations:
y
u
x
v
y
v
x
u
∂
∂
−=
∂
∂
∂
∂
=
∂
∂
&
Proof:
Augustin Louis Cauchy
)1789-1857(
Georg Friedrich Bernhard
Riemann
1826 - 1866
( ) ( ) ( )
z
zfzzf
zf z
∆
−∆+
= →∆ 0
lim'
Provided that the limit exists independent of the manner in which
Δ z→0.
Choose Δ z = Δ x → ( )
x
v
i
x
u
zf
∂
∂
+
∂
∂
='
Choose Δ z =i Δ y → ( )
y
v
y
u
izf
∂
∂
+
∂
∂
−='
Equalizing those two expressions we obtain:
( )
y
u
i
y
v
x
v
i
x
u
zf
∂
∂
−
∂
∂
=
∂
∂
+
∂
∂
='
y
u
x
v
y
v
x
u
∂
∂
−=
∂
∂
∂
∂
=
∂
∂
→ &
The functions u (x,y) and v (x,y) are called conjugate functions,
because if one is given we can find the other (with an arbitrary
additive constant). Return to Table of Contents
32. 32
SOLO Complex Variables
Harmonic Functions
If the second partial derivatives of u (x,y) and v (x,y) with respect to x and y exist
and are continuous in a region C, then using Cauchy-Riemann equations, we obtain:
02
2
2
2
2
22
2
2
2
22
=
∂
∂
+
∂
∂
→
∂
∂
−=
∂∂
∂
→
∂
∂
−=
∂
∂
∂∂
∂
=
∂
∂
→
∂
∂
=
∂
∂
∂∂
∂
=
∂∂
∂
∂
∂
∂
∂
y
u
x
u
y
u
xy
v
y
u
x
v
yx
v
x
u
y
v
x
u
xyyx
y
x
02
2
2
2
2
2
2
2
22
22
=
∂
∂
+
∂
∂
→
∂∂
∂
−=
∂
∂
→
∂
∂
−=
∂
∂
∂
∂
=
∂∂
∂
→
∂
∂
=
∂
∂
∂∂
∂
=
∂∂
∂
∂
∂
∂
∂
y
v
x
v
yx
u
x
v
y
u
x
v
y
v
xy
u
y
v
x
u
xyyx
x
y
It follows that under those conditions the real and imaginary parts
of an analytic function satisfy Laplace’s Equation denoted by:
02
2
2
2
=
∂
Φ∂
+
∂
Φ∂
yx
or 2
2
2
2
2
:
yxx
i
xx
i
x ∂
∂
+
∂
∂
=
∂
∂
−
∂
∂
⋅
∂
∂
+
∂
∂
=∇
where02
=Φ∇
The functions satisfying Laplace’s Equation are called Harmonic Functions.
Pierre-Simon Laplace
(1749-1827)
Return to Table of Contents
33. 33
SOLO Complex Variables
Singular Points
A point at which f (z) is not analytic is called a singular point. There are various types
of singular points:
1. Isolated Singularity
The point z0 at which f (z) is not analytic is called an isolated singular point, if we can
a neighborhood of z0 in which there are not singular points.
z0
δ
If no such a neighborhood of z0 can be found then we
call z0 a non-isolated singular point.
2. Poles
Example ( ) ( ) ( )
( ) ( ) ( ) ( )5353
1834
32
++−−
++
=
zzzz
zz
zf
has a pole of order 2 at z = 3, a pole of order 3 at z = 5, and two simple
poles at z = -3 and z = -5.
If we can find a positive integer n such that
and is analytic at z=z0
then z = z0 is called a pole of order n. If n = 1, z is called a simple pole.
( ) ( ) 0lim 0
0
≠=−→
Azfzz
n
zz
( ) ( ) ( )zfzzz
n
0−=ϕ
34. 34
SOLO Complex Variables
Singular Points
A point at which f (z) is not analytic is called a singular point. There are various types
of singular points:
3. Branch Points
If f (z) is a multiple valued function at z0, then this is a branch point.
Examples:
( ) ( ) n
zzzf
/1
0−= has a branch point at z=z0
( ) ( ) ( )[ ]0201ln zzzzzf −−= has a branch points at z=z01 and z=z02
4. Removable Singularities
The singular point z0 is a removable singularity of f (z) if exists.( )zf
zz 0
lim
→
Examples: The singular point z = 0 of is a removable singularity
z
zsin
1
sin
lim0
=→
z
z
z
35. 35
SOLO Complex Variables
Singular Points
A point at which f (z) is not analytic is called a singular point. There are various types
of singular points:
5. Essential Singularities
A singularity which is not a pole, branch point or a removable singularity is called
an essential singularity.
Example: has an essential singularity at z = z0.( ) ( )0/1 zz
ezf −
=
6. Singularities at Infinity
If we say that f (z) has singularities at z →∞. The type of the
singularity is the same as that of f (1/w) at w = 0.
( ) 0lim =
∞→
zf
z
Example: The function f (z) = z5
has a pole of order 5 at z = ∞, since f (1/w) = 1/w5
has a pole of order 5 at w = 0.
Return to Table of Contents
36. 36
SOLO Complex Variables
Orthogonal Families
If f (z) = u (x,y) + i v (x,y) is analytic, then the one-parameter families of curves
( ) ( ) βα == yxvyxu ,,,
where α and β are constant are orthogonal.
Proof:
The normal to u (x,y) = α is: ( ) y
y
u
x
x
u
yxu 11,
∂
∂
+
∂
∂
=∇
The normal to v (x,y) = β is: ( ) y
y
v
x
x
v
yxv 11,
∂
∂
+
∂
∂
=∇
The scalar product between the normal to u (x,y) = α and the normal to v (x,y) = β is:
( ) ( )
y
v
y
u
x
v
x
u
yxvyxu
∂
∂
∂
∂
+
∂
∂
∂
∂
=∇⋅∇ ,,
Using the Cauchy-Riemann Equation for the analytic f (z):
y
u
x
v
y
v
x
u
∂
∂
−=
∂
∂
∂
∂
=
∂
∂
&
( ) ( ) 0,, =
∂
∂
∂
∂
+
∂
∂
∂
∂
−=∇⋅∇
y
v
y
u
y
u
y
v
yxvyxu
x
y
( ) α=yxu ,
( ) β=yxv ,
planez
u
v
planew
Return to Table of Contents
37. 37
SOLO Complex Variables
Complex Line Integrals
Let f (z) be continuous at all points on a curve C of a finite length L.
( ) ( ) ( )∑∑ ==
− ∆=−=
n
i
ii
n
i
iiin zfzzfS
11
1 ξξ
C
1
z
nzb =
2z
0
za =
1−iz
iz
1
ξ
2
ξ
i
ξ
n
ξ
Let subdivide C into n parts by n arbitrary points
z1, z2,…,zn, and call a=z0 and b=zn. On each arc joining
zi-1 to zi choose a point ξi. Define the sum:
Let the number of subdivisions n increase in such a
way that the largest of Δzi approaches zero, then the sum approaches a limit
that is called the line integral (also Riemann-Stieltjes integral).
( ) ( ) ( )∫∫∑ ==∆=
=
→∆∞→
C
b
a
n
i
ii
z
nn
zdzfzdzfzfS
i
1
0
limlim ξ
Properties of Integrals
( ) ( )[ ] ( ) ( )∫∫∫ +=+
CCC
zdzgzdzfzdzgzf ( ) ( ) constantAzdzfAzdzfA
CC
== ∫∫
( ) ( )∫∫ −=
a
b
b
a
zdzfzdzf ( ) ( ) ( )∫∫∫ +=
b
c
c
a
b
a
zdzfzdzfzdzf
( ) ( ) ( ) CoflengthLandConMzfLMzdzfzdzf
CC
≤≤≤ ∫∫
Return to Table of Contents
38. 38
SOLO Complex Variables
Simply and Multiply Connected Regions
A region R is called simply-connected if any simple closed curve Γ, which lies in R
can be shrunk to a point without leaving R. A region R that is not simply-connected
is called multiply-connected.
C0
x
y
R C1
Γ
C0
x
y
R
C1
C2
C3
Γ
C
x
y
R
Γ
C
x
y
R
Γsimply-connected
multiply-connected.
Return to Table of Contents
39. 39
SOLO Complex Variables
Green’s Theorem in the Plane
C
R
Let P (x,y) and Q (x,y) be continuous and have continuous
partial derivatives in a region R and on the boundary C.
Green’s Theorem states that:
GEORGE STOCKES
1819-1903
A more general theorem was given by Stokes
( ) ∫∫∫
∂
∂
−
∂
∂
=+
R
dydx
y
P
x
Q
dyQdxP
C
( ) ∫∫∫∫∫∫∫
∂
∂
−
∂
∂
+
∂
∂
−
∂
∂
+
∂
∂
−
∂
∂
=++
yzxzxy RRR
dzdy
z
Q
y
R
dzdx
x
R
z
P
dydx
y
P
x
Q
dzRdyQdxP
C
or in vector form: ∫∫∫ ⋅×∇=⋅
S
dAFdrF
C
where:
( ) ( ) ( ) ( ) zzyxRyzyxQxzyxPzyxF 1,,1,,1,,,, ++=
zdzydyxdxdr 111 ++=
zdydxydzdxxdzdydA 111 ++=
GEORGE GREEN
1793-1841
z
z
y
y
x
x
111
∂
∂
+
∂
∂
+
∂
∂
=∇
40. 40
SOLO Complex Variables
Proof of Green’s Theorem in the Plane C
R
P
T
S
Q
a b
x
y
( )xgy 2=
( )xgy 1=
Start with a region R and the boundary curve C, defined
by S,Q,P,T, where QP and TS are parallel with y axis.
( )
( )
∫ ∫∫∫
=
=
∂
∂
=
∂
∂
b
a
xgy
Xgy
dy
y
P
dxdydx
y
P
2
R
By the fundamental lemma
of integral calculus:
( )
( )
( )
( ) ( )
( )
( )[ ] ( )[ ]xgxPxgxPyxPdy
y
yxP xgy
xgy
xgy
Xgy
12
,,,
, 2
1
2
−==
∂
∂ =
=
=
=
∫
Therefore: ( )[ ] ( )[ ]∫∫∫∫ −=
∂
∂
b
a
b
a
dxxgxPdxxgxPdydx
y
P
12
,,
R
but: ( )[ ] ( )[ ]∫∫ =
a
bSQ
dxxgxPdxxgxP 22
,, integral along curve SQ
( )[ ] ( )[ ]∫∫ =
b
aPT
dxxgxPdxxgxP 11
,, integral along curve PT
If we add to those integrals: ( ) ( ) 00,, === ∫∫ dxsincedxyxPdxyxP
QPTS
we
obtain:
( )[ ] ( ) ( )[ ] ( ) ( )∫∫∫∫∫∫∫ −=−−−−=
∂
∂
CTSPTQPSQ
dxyxPdxyxPdxxgxPdxyxPdxxgxPdydx
y
P
,,,,, 12
R
Assume that PT is defined by the function y = g1 (x) and
SQ is defined by the function y = g2 (x), both smooth and
y
P
∂
∂
is continuous in R:
41. 41
SOLO Complex Variables
Proof of Green’s Theorem in the Plane (continue – 1)
In the same way:
Therefore we obtain:
( )∫∫∫ −=
∂
∂
C
dxyxPdydx
y
P
,
R
( )∫∫∫ =
∂
∂
C
dyyxQdydx
x
Q
,
R
( ) ∫∫∫
∂
∂
−
∂
∂
=+
R
dydx
y
P
x
Q
dyQdxP
C
The line integral is evaluated by traveling C counterclockwise.
For a general single connected region, as that
described in Figure to the right, can be divided in a
finite number of sub-regions Ri, each of each are of
the type described in the Figure above. Since the
adjacent regions boundaries are traveled in opposite
directions, there sum is zero, and we obtain again:
( ) ∫∫∫
∂
∂
−
∂
∂
=+
R
dydx
y
P
x
Q
dyQdxP
C
C
R4
x
y
R
R3
R1
R2
C
R
P
T
S
Q
a b
x
y
( )xgy 2=
( )xgy 1=
42. 42
SOLO Complex Variables
Proof of Green’s Theorem in the Plane (continue – 2)
The general multiply-connected regions can be transformed in a simply
connected region by infinitesimal slits
Since the slits boundaries are traveled in opposite
directions, there integral sum is zero:
C0
x
y
R C1
P0
P1
C0
x
y
R
C1
C2
C3
( ) ( ) ∫∫∑ ∫∫
∂
∂
−
∂
∂
=+−+
R
dydx
y
P
x
Q
dyQdxPdyQdxP
i CC i0
All line integrals are evaluated by traveling Ci i=0,1,… counterclockwise.
( ) ( ) 0
0
1
1
0
=+++ ∫∫
P
P
P
P
dyQdxPdyQdxP
We obtain:
Return to Table of Contents
43. 43
SOLO Complex Variables
Consequences of Green’s Theorem in the Plane
Let P (x,y) and Q (x,y) be continuous and have continuous first partial
derivative at each point of a simply-connected region R. A necessary and
sufficient condition that around every closed path C in
R is that in R. This is synonym to the condition that
is path independent.
y
P
x
Q
∂
∂
=
∂
∂
( ) 0=+∫C
dyQdxP
Sufficiency:
Suppose
y
P
x
Q
∂
∂
=
∂
∂
According to Green’s Theorem ( ) 0=
∂
∂
−
∂
∂
=+ ∫∫∫ R
dydx
y
P
x
Q
dyQdxP
C
Necessity:
0<>
∂
∂
−
∂
∂
or
y
P
x
Q
Suppose along every path C in R. Assume that
at some point (x0,y0) in R. Since ∂ Q/ ∂ x and ∂ P/ ∂ y are continuous exists
a region τ around (x0,y0) and boundary Γ for which , therefore:
( ) 0=+∫C
dyQdxP
0<>
∂
∂
−
∂
∂
or
y
P
x
Q
( ) 0<>
∂
∂
−
∂
∂
=+ ∫∫∫Γ
ordydx
y
P
x
Q
dyQdxP
τ
C
x
y
R
( )∫ +
L
dyQdxP
0=
∂
∂
−
∂
∂
y
P
x
Q
This is a contradiction to the assumption, therefore q.e.d.
Return to Table of Contents
44. 44
SOLO Complex Variables
Cauchy’s Theorem
C
x
y
R
Proof:
( ) 0=∫C
dzzf
If f (z) is analytic with derivative f ‘ (z) which is continuous at all points inside
and on a simple closed curve C, then:
( ) ( ) ( )yxviyxuzf ,, +=Since is analytic and has continuous
first order derivative
( )
y
u
i
y
v
x
v
i
x
u
zd
fd
zf
iyzxz
∂
∂
−
∂
∂
=
∂
∂
+
∂
∂
==
==
'
y
u
x
v
y
v
x
u
∂
∂
−=
∂
∂
∂
∂
=
∂
∂
& Cauchy - Riemann
( ) ( ) ( ) ( ) ( )
0
00
=
∂
∂
−
∂
∂
+
∂
∂
−
∂
∂
−=
++−=++=
∫∫∫∫
∫∫∫∫
RR
dydx
y
v
x
u
idydx
y
u
x
v
dyudxvidyvdxudyidxviudzzf
CCCC
q.e.d.
Augustin Louis Cauchy
)1789-1857(
Return to Table of Contents
45. 45
SOLO Complex Variables
Cauchy-Goursat Theorem
C
x
y
R
Proof:
( ) 0=∫C
dzzf
If f (z) is analytic which is continuous at all points inside and on a simple
closed curve C, then:
Augustin Louis Cauchy
)1789-1857(
Goursat removed the Cauchy’s condition
that f ‘ (z) should be continuous in R.
C
F
DE
A
B
I
∆
IV
∆
II
∆ III
∆
Start with a triangle ABC in z in which
f (z) is analytic, Join the midpoints E,D,F
to obtain four equal triangles ΔI, ΔII, ΔIII,
ΔIV. We have:
( )
( ) ( ) ( ) ( )∫∫∫∫
∫∫∫∫
∫∫∫∫∫∫∫∫∫
∫∫∫∫
∆∆∆∆
+++=
+++=
+++
++
++
+=
++=
IVIIIIII
dzzfdzzfdzzfdzzf
dzzf
DEFDFCDFEBFEDAED
FDEFDEDFFCDFEEBFEDDAE
FCDEBFDAEABCA
Eduard Jean-Baptiste
Goursart
1858 - 1936
46. 46
SOLO Complex Variables
Proof of Cauchy-Goursat Theorem (continue – 1)
If f (z) is analytic which is continuous at all points inside and on a simple
closed curve C, then:
C
F
DE
A
B
I
∆
IV∆
II
∆ III
∆
( ) ( ) ( ) ( ) ( )∫∫∫∫∫ ∆∆∆∆
+++=
IVIIIIII
dzzfdzzfdzzfdzzfdzzf
ABCA
then:
( ) ( ) ( ) ( ) ( )∫∫∫∫∫ ∆∆∆∆
+++≤
IVIIIIII
dzzfdzzfdzzfdzzfdzzf
ABCA
Let Δ1 be the triangle in which the absolute value of the integral is maximum.
( ) ( )∫∫ ∆∆
≤
1
4 dzzfdzzf
Continue this procedure in triangle Δ1 in which Δ2 is the triangle in which the
absolute value of the integral is maximum.
( ) ( ) ( )∫∫∫ ∆∆∆
≤≤
21
2
44 dzzfdzzfdzzf
( ) ( )∫∫ ∆∆
≤
n
dzzfdzzf n
4
47. 47
SOLO Complex Variables
Proof of Cauchy-Goursat Theorem (continue – 2)
C
F
DE
A
B
I
∆
IV
∆
II
∆ III
∆
( ) ( )∫∫ ∆∆
≤
n
dzzfdzzf n
4
For an analytic function f (z) compute ( )
( ) ( )
( )0
0
0
0
':, zf
zz
zfzf
zz −
−
−
=η
( )
( ) ( )
( ) ( ) ( ) 0'''lim,lim 000
0
0
0
00
=−=
−
−
−
= →→
zfzfzf
zz
zfzf
zz zzzz
η
( ) ( ) ( ) ( ) ( ) ( ) ( )0000000
,'&,..,0 zzzzzzzfzfzfzzwheneverzzts −+−+=<−<∃>∀ ηδεηδε
( ) ( ) ( ) ( )[ ] ( ) ( ) ( ) ( )∫∫∫∫ ∆∆
←
∆∆
−≤−+−+≤
nnnn
dzzzzzdzzzzzdzzzzfzfdzzf
TheoremIntegralCauchy
0000
0
)00 ,,' ηη
n∆
0z
na
nb
nc
z 0
zz −
0
zzcbaP nnnn
−≥++=
( ) ( ) ( )
2
2
00
2
,
==≤−≤ ∫∫∫ ∆∆∆
nnn
P
PdzPdzzzzzdzzf
nnn
εεεη
But , where Pn the perimeter
of Δn and P the perimeter of Δ are related, by construction, by
( ) δεη <≤−< n
Pzzzz 00
&,
n
n PP 2/=
q.e.d.
( ) ( ) ( ) 0
4
44
0
2
2
=→=≤≤ ∫∫∫ ∆
→
∆∆
dzzfP
P
dzzfdzzf n
nn
n
ε
εε
48. 48
SOLO Complex Variables
Proof of Cauchy-Goursat Theorem (continue – 3)
n
z1
z
2
z
1−i
z
i
z
1−n
z
n
∆1∆
2∆
3
∆
i
∆
C
O
q.e.d.
For the general case of a simple closed curve C
we take n points on C: z1, z2,…,zn and a point
O inside C. We obtain n triangles Δ1, Δ2,.., Δn,
for each of them we proved Cauchy-Goursat Theorem.
Let define the sum: ( ) ∑= − −
∆=
n
i zz
iin
ii
zzfS
1
1
:
we have: ( ) ( ) ( ) ( ) 0
1
1
=++= ∫∫∫∫
−
−∆
i
i
i
ii
z
O
O
z
z
z
dzzfdzzfdzzfdzzf
( ) ( ) ( ) ( ) ( )[ ] ( ) ( )[ ] ( )
n
i
i
i
i
i
i
i
ii
S
n
i
z
z
i
n
i
z
z
i
n
i
z
z
ii
n
i
z
z
n
i
dzzfdzzfzfdzzfzfzfdzzfdzzf ∑ ∫∑∫∑ ∫∑ ∫∑ ∫ ===== ∆ −−−−
+−=+−===
11111
1111
0
( ) ( ) ( )ε
ε
NnforSdzzfdzzfS n
CC
nn
><−→= ∫∫∞→
2
lim
( ) ( )[ ] ( ) ( )[ ] ( )
221
1
111
11
εε
=−≤−≤−≤→−= ∑∑∑ ∫∑∫ =
−
===
−−
n
i
ii
n
i
i
n
i
z
z
in
n
i
z
z
in
zz
L
dzfzfdzzfzfSdzzfzfS
i
i
i
i
( ) ( ) ( ) ( ) 0
22
=→>=+<+−≤ ∫∫∫ C
nn
CC
dzzfNnforSSdzzfdzzf εε
εε
Since we proved that , we can write:( ) 0=∫∆
dzzf
Return to Table of Contents
49. 49
SOLO Complex Variables
Consequences of Cauchy-Goursat Theorem
B
x
y
R
A
C1
C2
D1
D2
a
bIf f (z) is analytic in a simply-connected region R, then
is independent of the path in R joining any
two points a and b in R.
( )∫
b
a
dzzf
Let look at thr closed path AC1D1BD2C2A in R inside which f (z) is analytic.
According to Cauchy-Goursat Theorem
( ) ( ) ( ) ( ) ( ) ( ) ( )∫∫∫∫∫∫∫ =→−=+==
BDAcBDAcBDAcBDAcACBDBDAcACBDDAC
dzzfdzzfdzzfdzzfdzzfdzzfdzzf
2211221122111122
0
Proof:
If f (z) is analytic in a multiply-connected region R,
bounded by two simple closed curves C1 and C2, then:
1
2
C1
x
y
R C2
P0
P1
( ) ( )∫∫ =
21 CC
dzzfdzzf
The general multiply connected regions can be transformed
in a single connected region by an infinitesimal slit P0 to P1.
( ) ( ) ( ) ( ) ( ) ( )∫∫∫∫∫∫ =→+++=
212
0
1
1
01
0
0
CCC
P
P
P
PC
dzzfdzzfdzzfdzzfdzzfdzzf
Proof:
Return to Table of Contents
50. 50
SOLO Complex Variables
Cauchy’s Integral Formulas
Augustin Louis Cauchy
)1789-1857(
If f (z) is analytic inside and on a simple closed curve C
and a is any point inside C then
( ) ( )
∫ −
=
C
dz
az
zf
i
af
π2
1
C
x
y
R
a
Γ
Proof:
Let chose a circle Γ with center at a
[ ]{ }πθε θ
2,0,: ∈+==Γ i
eazz
Since f (z)/ (z-a) is analytic in the region defined
between C and the circle Γ we can use:
( ) ( )
∫∫ Γ
−
=
−
zd
az
zf
zd
az
zf
C
( ) ( ) ( ) ( )afidafidei
e
eaf
zd
az
zf i
i
i
πθθε
ε
ε
ππ
θ
θ
θ
ε
21lim
2
0
2
0
0
===
+
=
− ∫∫∫ →
Γ
therefore:
( ) ( )
∫ −
=
C
dz
az
zf
i
af
π2
1
q.e.d.
Cauchy’s Integral Formulas and Related Theorems
Return to Table of Contents
51. 51
SOLO Complex Variables
Cauchy’s Integral Formulas for the n Derivative of a Function
Augustin Louis Cauchy
)1789-1857(
If f (z) is analytic inside and on a simple closed curve C
and a is any point inside C, where the n derivative exists, then
( )
( ) ( )
( )∫ +
−
=
C
n
n
dz
az
zf
i
n
af 1
2
!
π
C
x
y
R
a
Γ
Proof:
Let prove this by induction.
Assume that this is true for n-1:
Then we can differentiate under the sign of integration:
( ) ( )
∫ −
=
C
dz
az
zf
i
af
π2
1
For n = 0 we found
( )
( ) ( ) ( )
( )∫ −
−
=−
C
n
n
dz
az
zf
i
n
af
π2
!11
( )
( ) ( )
( ) ( ) ( )
( )
( ) ( )
( )∫∫ +
−
−
−
=
−
−
==
C
n
C
n
nn
dz
az
n
zf
i
n
dz
azad
d
zf
i
n
af
ad
d
af 1
1
2
!11
2
!1
ππ
q.e.d.Therefore for n we obtain: ( )
( ) ( )
( )∫ +
−
=
C
n
n
dz
az
zf
i
n
af 1
2
!
π
We can see that an analytic function has derivatives of all orders.
Return to Table of Contents
52. 52
SOLO Complex Variables
Morera’s Theorem (the converse of Cauchy’s theorem)
If f (z) is continuous in a simply-connected region R and if
around every simple closed curve C in R then
f (z) ia analytic in R.
( ) 0=∫C
dzzf
B
x
y
R
A
C1
C2
D1
D2
a
z
Proof:
Since around every closed curve C in R( ) 0=∫C
dzzf
( ) ( ) ( ) ( ) ( ) ( ) ( )∫∫∫∫∫∫∫ =→−=+==
BDAcBDAcBDAcBDAcACBDBDAcACBDDAC
dzzfdzzfdzzfdzzfdzzfdzzfdzzf
2211221122111122
0
The integral is independent on path
between two points, if the path is in R
( ) ( )∫=
z
a
dzzfzF
Let choose a straight path between z and z+Δz
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )[ ]∫∫∫
∆+∆+
−
∆
=−
−
∆
=−
∆
−∆+
zz
z
z
a
zz
a
udzfuf
z
zfudufuduf
z
zf
z
zFzzF 11
Since f (z) is continuous ( ) ( ) δε <−≤− zuwheneverzfuf
Therefore
( ) ( ) ( ) ( ) ( ) ( ) ( )zf
zd
zFd
zudzfuf
z
zf
z
zFzzF
zz
z
=→<∆∀=−
∆
≤−
∆
−∆+
∫
∆+
δε
1
C
x
y
R z
Νδz+∆ z
Since F (z) has a derivative in R, it is analytic, and so are its derivatives, i.e. f (z)
Return to Table of Contents
Giacinto Morera
1856 - 1907
53. 53
SOLO Complex Variables
Cauchy’s Inequality
Augustin Louis Cauchy
)1789-1857(
If f (z) is analytic inside and on a circle C of radius r and
center at z = a, then
( )
( ) ,...2,1,0
!
=
⋅
≤ n
r
nM
af n
n
where M is a constant such that | f (z) |< M is an upper bound
of | f (z) | on C.
Proof:
C
x
y
a
r
Use Cauchy Integral Formula:
( )
( )
( ) ( )
,2,1,0
!
2
1
2
!1
2
!
2
!
1
2
0
11
===≤
−
≤ ++
<
+ ∫∫ n
r
nM
r
r
Mn
dr
r
Mn
dz
az
zfn
af nnn
Mzf
C
n
n
π
π
θ
ππ
π
( )
( ) ( )
( )
,2,1,0
2
!
1
=
−
= ∫ +
ndz
az
zf
i
n
af
C
n
n
π
q.e.d.
On the circle C: .θi
eraz +=
Return to Table of Contents
54. 54
SOLO Complex Variables
Liouville’s Theorem
Joseph Liouville
1809 - 1882
If for all z in the complex plane:
(1) f (z) is analytic
(2) f (z) is bounded, i.e. | f (z) |< M for some constant M
then f (z) must be a constant.
Proof No. 1:
Using Cauchy’s Inequality: ( )
( ) ,...2,1,0
!
=
⋅
≤ n
r
nM
af n
n
Letting n=1 we obtain: ( )
r
M
af ≤'
Since f (z) is analytic in all z plane we can take r → ∞ to obtain
( ) ( ) ( ) constantafaaf
r
M
af
r
=→∀=→=≤
∞→
,00lim ''
q.e.d.
55. 55
SOLO Complex Variables
Liouville’s Theorem
Joseph Liouville
1809 - 1882
If for all z in the complex plane:
(1) f (z) is analytic
(2) f (z) is bounded, i.e. | f (z) |< M for some constant M
then f (z) must be a constant.
Proof No. 2:
Using Cauchy’s Integral Formula
q.e.d.
Let a and b be any two points in z plane. Draw a circle
C with center at a and radius r > 2 | a-b |
C
x
y
a
r
b
2/rba <−
( ) ( ) ( ) ( ) ( )
( ) ( )∫∫∫ −−
−
=
−
−
−
=−
CCC
dz
bzaz
zf
i
ab
dz
az
zf
i
dz
bz
zf
i
afbf
πππ 22
1
2
1
We have
raz =− ( ) ( ) 2/rbarbaazbaazbz ≤−−=−−−≥−+−=−
( ) ( ) ( )
( ) ( )
( )
( ) r
Mab
dr
rr
Mab
dz
bzaz
zfab
dz
bzaz
zfab
afbf
CC
−
=
−
≤
−−
−
≤
−−
−
=− ∫∫∫
2
2/222
2
0
π
θ
πππ
Since f (z) is analytic in all z plane we can take r → ∞ to obtain
( ) ( ) ( ) ( )afbfafbf =→=− 0 therefore f (z) is constant.
Return to Table of Contents
56. 56
SOLO Complex Variables
Foundamental Theorem of Algebra
Every polynomial equation P (z) = a0 + a1z+a2z2
+…+anzn
=0 with degree
n ≥ 1 and an ≠ 0 (ai are complex constants) has at least one root.
From this it follows that P (z) = 0 has exactly n roots, due attention being
paid to multiplicities of roots.
Proof:
If P (z) = 0 has no root, then f (z) = 1 / P (z) is analytic for all z.
Also | f (z) |= 1 / | P (z) | is bounded. Then by Liouville’s Theorem f (z) and
then P (z) are constant. This is a contradiction to the fact that P (z) is a
polynomial in z, therefore P (z) = 0 must have at least one root (zero).
Suppose that z = a is one root of P (z) = 0. Hence P (a) = 0 and
( ) ( ) ( )
( ) ( ) ( ) ( ) ( )zQazazaazaaza
aaaaaaazazazaaaPzP
nn
n
n
n
n
n
−=−++−+−=
++++−++++=−
22
21
2
210
2
210
Since an ≠ 0, Q (s) is a polynomial of degree n-1.
Applying the same reasoning to the polynomial Q (s) of degree n-1,
we conclude that it must also have at least one root. This procedure continues
until n = 0, therefore it follows that P (z) has exactly n roots.
q.e.d.
Return to Table of Contents
57. 57
SOLO Complex Variables
Gauss’ Mean Value Theorem
Karl Friederich Gauss
1777-1855
C
x
y
a
r
If f (z) is analytic inside and on a circle C with center at
a and radius r, then f (a) is the mean of the values of f (z)
on C, i.e.,
( ) ( ) .
2
1
2
9
∫ +=
π
θ
θ
π
derafaf i
Proof:
Use Cauchy Integral Formula:
On the circle C:
θθ ii
eridzeraz =+= .
( ) ( )
∫ −
=
C
dz
az
zf
i
af
π2
1
( ) ( ) ( ) ( )∫∫∫ +=
+
=
−
= θ
π
θ
ππ
θθ
θ
θ
derafderi
er
eraf
i
dz
az
zf
i
af ii
i
i
C
2
1
2
1
2
1
q.e.d.
Return to Table of Contents
58. 58
SOLO Complex Variables
Maximum Modulus Theorem
If f (z) is analytic inside and on a simple closed curve C and is not identically
equal to a constant, then the maximum value of | f (z) | occurs on C.
Proof:
The proof is based on the continuity of f (z) and on the Gauss’ Mean Value Theorem.
C
x
y
a
r
C
C1
C2
C3
R
α
b
Since f (z) is analytic in C, | f (z) | has a maximum M inside or
on C. Suppose that the maximum value is achieved at the point
a inside C, i.e. | f (a) |=M =max | f (z) |. Since a is inside C we can
find a circle C1, with center at a that is inside C. Since f (z) is not
constant we can find a point b in C1 such that | f (b)|=M – ε< | f (a)|.
Using the continuity of f (z) we can find a circle around b, C2,
( ) ( ){ }δε <−<−= bzforbfzfzC 2/:2
( ) ( ) 2/2/2/ εεεε −=+−=+< MMbfzf
Now apply the Gauss’ Mean Value Theorem for point a and the circle with center at a
passing trough b, C3. Define by α the arc of C3 inside C2.( ) ( ) .
2
1
2
9
∫ +=
π
θ
θ
π
derafaf i
( ) ( ) ( ) ( ) ( ) ( )
π
εα
απ
ππ
α
εθθθ
π
π
α
θ
α
ε
θ
π
θ
4
2
22
2/.
2
1
2
9
2/
2
9
−=−+−≤+++≤+== ∫∫∫
≤−≤
M
M
MderafderafderafMaf
M
i
M
ii
59. 59
SOLO Complex Variables
Maximum Modulus Theorem
If f (z) is analytic inside and on a simple closed curve C and is not identically
equal to a constant, then the maximum value of | f (z) | occurs on C.
Proof (continue):
( ) ( ) ( ) ( ) ( ) ( )
π
εα
απ
ππ
α
εθθθ
π
π
α
θ
α
ε
θ
π
θ
4
2
22
2/.
2
1
2
9
2/
2
9
−=−+−≤+++≤+== ∫∫∫
≤−≤
M
M
MderafderafderafMaf
M
i
M
ii
We obtained that is impossible, therefore
a for which |f (z)| is maximum cannot be inside C, but on C.
( )
π
εα
4
?
−== MMaf C
x
y
a
r
C
C1
C2
C3
R
α
b
q.e.d.
Return to Table of Contents
60. 60
SOLO Complex Variables
Minimum Modulus Theorem
If f (z) is analytic inside and on a simple closed curve C and f (z) ≠ 0
inside C then | f (z) | assumes its minimum value on C.
Proof:
Since f (z) is analytic inside and on a simple closed curve C and f (z) ≠ 0
inside C it follows that 1/ f (z) is analytic inside and on C. Then according to
Maximum Modulus Theorem 1/| f (z) | assumes its maximum vale on C and
therefore | f (z) | assumes its minimum value on C.
q.e.d.
x
y C
R
Return to Table of Contents
61. 61
SOLO Complex Variables
Poisson’s Integral Formulas for a Circle
Siméon Denis Poisson
1781-1840
Let f (z) be analytic inside and on the circle C defined by
|z| = R, and let z = r e iθ
be any point inside C, then:
( ) ( )
( )
( ) ( )∫ ∫
∫
−
−
=
−
−
=
+−−
−
==
π π
φ
φ
φ
θφ
π
φθ
φ
π
φ
π
φ
φθπ
2
0
2
0
2
22
2
22
2
0
22
22
2
1
2
1
cos22
1
deRf
zeR
zR
deRf
ereR
rR
deRf
rrRR
rR
erzf
i
i
i
ii
ii
C
x
y
R
R
z'
rR2/r
θ
∗
z
z
r θ−
∗
= zRz /2
1
Proof:
Since f (z) is analytic in C we can apply Cauchy’s Integral
Formula:
( ) ( ) ( )
∫ −
==
C
i
dz
zz
zf
i
erfzf '
'
'
2
1
π
θ
( )
∫ ∗
−
=
C
dz
zRz
zf
i
'
/'
'
2
1
0 2
π
If we subtract those equations we obtain:
The inverse of the point z with respect to C is and
lies outside C, therefore by Cauchy’s Theorem:
∗
= zRz /2
1
( ) ( ) ( )
( ) ( )
( )∫∫ ∗∗
−−
−
=
−
−
−
==
CC
i
dzzf
zRzzz
zRz
i
dzzf
zRzzzi
erfzf ''
/''
/
2
1
''
/'
1
'
1
2
1
2
2
2
ππ
θ
62. 62
SOLO Complex Variables
Poisson’s Integral Formulas for a Circle
Siméon Denis Poisson
1781-1840
Proof (continue):
( ) ( ) ( ) ( ) ( )
( )
( ) ( )[ ] ( )
( ) ( )
( )( ) ( )
( )
( )( ) ( )
( )
( )
( )∫
∫
∫
∫
∫
+−−
−
=
−−
−
=
−−
−
=
−−
−
=
−−
−
==
−−
+
∗
π
φ
π
φ
θφθφ
π
φ
θφθφ
φθ
π
φφ
θφθφ
θθ
θ
φ
φθπ
φ
π
φ
π
φ
π
π
2
0
22
22
2
0
22
2
0
22
2
0
2
2
2
2
cos22
1
2
1
2
1
/
/
2
1
''
/''
/
2
1
deRf
RrRr
rR
deRf
ereRereR
rR
deRf
eRerereR
eRr
deRieRf
erReRereR
erRer
i
dzzf
zRzzz
zRz
i
erfzf
i
i
iiii
i
iiii
i
ii
iiii
ii
C
i
Writing we have:( ) ( ) ( )θθθ
,, rviruerf i
+=
( ) ( )
( )
( )∫ +−−
−
=
π
φφ
φθπ
θ
2
0
22
22
,
cos22
1
, dRu
RrRr
rR
ru
( ) ( )
( )
( )∫ +−−
−
=
π
φφ
φθπ
θ
2
0
22
22
,
cos22
1
, dRv
RrRr
rR
rv
q.e.d.
C
x
y
R
R
z'
rR2/r
θ
∗
z
z
r θ−
∗
= zRz /2
1
Return to Table of Contents
63. 63
SOLO Complex Variables
Poisson’s Integral Formulas for a Half Plane
Siméon Denis Poisson
1781-1840
C
x
y
R
∗
z
z
R
Let f (z) be analytic in the upper half y ≥ 0 of the z plane
and let z = (x + i y) any point in this upper half plane, then:
( ) ( )
( )∫
+∞
∞−
+−
= dw
yxw
wfy
zf 22
Proof:
Let C be the boundary of a a semicircle of radius R
containing as an interior point, but does
not contain
yixz +=
yixz −=∗
Using Cauchy’s Integral Formula we have:
( ) ( )
∫ −
=
C
dw
zw
wf
i
zf
π2
1
By subtraction we obtain:
( )
∫ ∗
−
=
C
dw
zw
wf
iπ2
1
0
( ) ( )
( ) ( )
( )
( ) ( )
( ) ( )
( )
( )
( )∫∫
∫∫
+−
=
+−−−
−−+
=
−−
−
=
−
−
−
= ∗∗
CC
CC
dwwf
yxw
yi
i
dwwf
yixwyixw
yixyix
i
dwwf
zwzw
zz
i
dwwf
zwzwi
zf
22
2
2
1
2
1
2
111
2
1
ππ
ππ
64. 64
SOLO Complex Variables
Poisson’s Integral Formulas for a Half Plane
Siméon Denis Poisson
1781-1840
Proof (continue):
Where Γ is the upper a semicircle of radius R.
( )
( )
( )
( )
( )
( )
( )∫∫
∫
Γ
+
−
+−
+
+−
=
+−
=
dwwf
yxw
y
dwwf
yxw
y
dwwf
yxw
yi
i
zf
R
R
C
2222
22
11
2
2
1
ππ
π
If we take R→∞ we obtain: ( )
( ) 0lim
1
22
=
+−∫Γ
∞→
dwwf
yxw
y
R
π
( ) ( )
( )∫
+∞
∞−
+−
= dw
yxw
wfy
zf 22
Therefore:
( ) ( )
( )∫
+∞
∞−
+−
= dw
yxw
wufy
yxu 22
0,
,
( ) ( )
( )∫
+∞
∞−
+−
= dw
yxw
wvfy
yxv 22
0,
,
Writing and since w varies on x axis
, and we have:
( ) ( ) ( )yxviyxuzf ,, +=
( ) ( ) ( )0,0, wviwuwf +=
q.e.d.
C
x
y
R
∗
z
z
R
Return to Table of Contents
65. 65
SOLO
Infinite Series
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1Convergence Definition:
The series Sn converges to S as n →∞ if for all ε > 0 there exists an positive integer N
such that
If no such N exists then we say that the series diverges.
NnallforSuSS
n
i
in ><−=− ∑=
ε
1
Convergence Theorem:
The series Sn converges as n →∞ if and only if there exists an positive integer M
such that
If no such M exists then we say that the series diverges.
1
1
><= ∑=
NallforMuS
N
i
iN
If S is unknown we can use the Cauchy Criterion for convergence:
for all ε > 0 there exists an positive integer N such that
NmnallforuuSS
m
j
j
n
i
imn ><−=− ∑∑ ==
,
11
ε Augustin Louis Cauchy
)1789-1857(
A necessary (but not sufficient) condition for convergence is that lim i→∞ ui = 0
Return to the Table of Content
Cauchy Convergence Criterion
66. 66
SOLO
Infinite Series
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Convergence Tests
In term by term a series of terms 0 ≤ un ≤ an, in which the an form a convergent series,
then is also convergent.∑n nu
Return to the Table of Content
67. 67
SOLO
The Geometric Series
( ) ( )
( )
( ) ( )
( ) r
r
a
r
rrarararaa
r
rS nn
nG
−
−
=
−
−⋅+++++
=
−
− −
−
1
1
1
1
1
1 132
1
Multiply and divide by (1 – r)
( ) ∑
−
=
−
− =+++++=
1
0
132
1
n
i
in
nG rararararaaS
We can see that
( )
≥∞
<
−=
−
−
=
∞→
−
∞→
diverger
converger
r
a
r
r
aS
n
n
nG
n
1
1
1
1
1
limlim 1
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
68. 68
SOLO
Convergence Tests
Cauchy Root Test
Augustin Louis Cauchy
)1789-1857(
If (an) 1/n
≤ r < 1 for all sufficiently large n, with r
independent of n, then is convergent. If (an) 1/n
≥ 1 for
all sufficiently large n, then is divergent.
∑n na
∑n na
The first part of this test is verified easily by raising
(an) 1/n
≤ r to the nth
power. We get:
1<≤ n
n ra
∑n naSince rn
is just the nth
term in a Convergent Geometric Series, is
convergent by the Comparison Test. Conversely, if (an) 1/n
≥ 1, the an ≥ 1 and the
series diverge. This Root Test is particularly useful in establishing the properties
of Power Series.
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
Return to the Table of Content
69. 69
SOLO
Convergence Tests
D’Alembert or Cauchy Ratio Test
Jean Le Rond D’Alembert
1717 - 1783
If (an+1/an) ≤ r < 1 for all sufficiently large n, with r
independent of n, then is convergent. If (an+1/an) ≥ 1 for
all sufficiently large n, then is divergent.
∑n na
∑n na
Convergence is proved by direct comparison with the
geometric series (1+r+r2
+ …
)
=
>
<
+
∞→
ateindetermin,1
,1
,1
lim 1
divergence
econvergenc
a
a
n
n
n
∑=
=
n
i
n
n nS
1
2/Example: convergent
n
n
a
a n
nn
n
n
n 2
12
2
1
limlim 1
1
=
+
= +∞→
+
∞→
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
Return to the Table of Content
Augustin Louis Cauchy
)1789-1857(
70. 70
SOLO
Convergence Tests
Maclaurin or Euler Integral Test
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
Return to the Table of Content
Let f (n) = an, i.e. f (x) is a monotonic decreasing function.
Then converges if is finite and diverges if the
integral is infinite.
∑n na ( )∫
∞
1
xdxf
( ) ( ) ( )1
111
fxdxfaxdxf n n +≤≤ ∫∑∫
∞∞
=
∞
Colin Maclaurin
1698 - 1746
Leonhard Euler
(1707 – 1`783)
Is geometrically obvious that:
( )xf
x
1 2 3 4
( ) 11 af =
( ) 22 af =
Comparison of Integral and Sum-Blocks
Leading
( )xf
x1 2 3 4
( ) 11 af =
Comparison of Integral and Sum-Blocks
Lagging
71. SOLO
Convergence Tests
Kummer’s Test
Consider a Series of positive terms ui and a sequence of positive constants ai.
If
for all n ≥ N, where N is some fixed number, then converges.
If
and diverges, then diverges.
The two tests can be written as:
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
∑
∞
=1i iu
01
1
>≥− +
+
Ca
u
u
a n
n
n
n
01
1
≤− +
+
n
n
n
n a
u
u
a
∑
∞
=1i iu∑
∞
=
−
1
1
i ia
∞→<
>
=
− −+
+
∞→ divergea
converge
Ca
u
u
a
i
n
n
n
n
n 11
1 &0
0
lim
Ernst Eduard Kummer
(1810 – 1893)
72. 72
SOLO
Convergence Tests
Kummer’s Test (continue – 1)
Consider a Series of positive terms ui and a sequence of positive
constants ai.
If
for all n ≥ N, where N is some fixed number, then converges.
01
1
>≥− +
+
Ca
u
u
a n
n
n
n
∑
∞
=1i iu
Ernst Eduard Kummer
(1810 – 1893)
nnnnn
NNNNN
NNNNN
uauauC
uauauC
uauauC
−≤
−≤
−≤
−−
+++++
+++
11
22112
111
Proof:
Add and divide by C
C
ua
C
ua
u nnNNn
Ni i −≤∑ += 1
C
ua
u
C
ua
C
ua
uuuuS NNN
i i
nnNNN
i i
n
Ni i
N
i i
n
i in +<−+≤+== ∑∑∑∑∑ ==+=== 11111
The partial sums Sn have an upper bound. Since the lower bound is zero
the sum must converge.∑ iu
q.e.d.
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
73. 73
SOLO
Convergence Tests
Kummer’s Test (continue – 2)
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
Consider a Series of positive terms ui and a sequence of positive
constants ai.
If
and diverges, then diverges.
01
1
≤− +
+
n
n
n
n a
u
u
a
∑
∞
=1i iu∑
∞
=
−
1
1
i ia
Proof: Nnuauaua NNnnnn >≥≥≥ −− ,11
Since an > 0
n
NN
n
a
ua
u ≥
and ∑∑
∞
+=
−
∞
+=
≥
1
1
1 Ni
iNN
Ni
i auau
If diverges, then by comparison test diverges.∑
∞
=
−
1
1
i
ia ∑
∞
=1i
iu
Return to the Table of Content
Ernst Eduard Kummer
(1810 – 1893)
74. 74
SOLO
Convergence Tests
Raabe’s Test
If un > 0 and if
for all n ≥ N, where N is a positive integer independent on, then converges.
If
Then diverges (as diverges). The limit form of Raabe’s test is
Proof:
In Kummer’s Test choose an = n and P = C + 1.
Joseph Ludwig Raabe
(1801 – 1859)
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
Return to the Table of Content
11
1
>≥
−
+
P
u
u
n
n
n
∑i iu
11
1
≤
−
+n
n
u
u
n
∑i iu ∑
−
i ia
1
=
∞→<
>
=
− ∑
−
+
∞→
testno
divergea
converge
P
u
u
n i i
n
n
n
1
&1
1
1lim
1
1
75. 75
SOLO
Convergence Tests
Gauss’ s Test
Carl Friedrich Gauss
(1777 – 1855)
If un > 0 for all finite n and
in which B (n) is a bounded function of n for n → ∞, then
converges for h > 1 and diverges for h ≤ 1. There is no
indeterminate case here.
( )
2
1
1
n
nB
n
h
u
u
n
n
++=
+
∑n nu
Proof:
For h > 1 and h < 1 the proof follows directly from Raabe’s Test:
( ) ( ) h
n
nB
h
n
nB
n
h
n
u
u
n
nn
n
n
n
=
+=
−++⋅=
−⋅
∞→∞→
+
∞→
lim11lim1lim 2
1
If h = 1, Raabe’s Test fails. However if we return to Kummer’s Test and use an=n ln
n: ( ) ( ) ( )
( ) ( ) ( )
+−−+=
++−
+
⋅=
++−
++⋅
∞→∞→
=
∞→
n
nnnn
n
n
nn
nn
n
nB
n
h
nn
nn
h
n
1
1lnlnln1lim1ln1
1
lnlim
1ln11lnlim
1
2
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
76. 76
SOLO
Convergence Tests
Gauss’ s Test
Carl Friedrich Gauss
(1777 – 1855)
If un > 0 for all finite n and
in which B (n) is a bounded function of n for n → ∞, then
converges for h > 1 and diverges for h ≤ 1. There is no
indeterminate case here.
( )
2
1
1
n
nB
n
h
u
u
n
n
++=
+
∑n nu
Proof (continue – 1):
Kummer’s withan=n ln n:
( ) ( ) ( ) ( )
++−=
++−
++⋅
∞→
=
∞→ n
nnn
n
nB
n
h
nn
n
h
n
1
1ln1lim1ln11lnlim
1
2
( ) ( ) 01
3
1
2
11
1lim
1
1ln1lim 32
<−=
−+−⋅+−=
+⋅+−
∞→∞→
nnn
n
n
n
nn
Hence we have a divergence for h = 1. This is an example of a successful
application of Kremmer’s Test in which Raabe’s Test failed.
Given a series:
Theorems of Convergence of Sequences and Series
∑=
=
n
i
in uS
1
Infinite Series
Return to the Table of Content
77. 77
SOLO Complex Variables
Infinite Series, Taylor’s and Laurent Series
Let {un} :=u1 (z), u2 (z),…,un (z),…, be a sequence of single-valued functions of z in
some region of z plane.
We call U (z) the limit of {un} ,if given any positive number ε we can find a number
N (ε,z) such that and we write this:( ) ( ) ( )zNnzUzun ,εε >∀<−
( ) ( ) ( ) ( )zUzuorzUzu
n
nn
n
∞→
∞→
→=lim
x
y C
R
If a sequence converges for all values z in a region R, we call R
the region of convergence of the sequence. A sequence that is
not
convergent at some point z is called divergent at z.
Infinite Series of Functions
78. 78
SOLO Complex Variables
Infinite Series, Taylor’s and Laurent Series
Infinite Series of Functions
From the sequence of functions {un} let form a new sequence {Sn} defined by:
( ) ( )
( ) ( ) ( )
( ) ( ) ( ) ( ) ( )∑=
=+++=
+=
=
n
i
inn
zuzuzuzuzS
zuzuzS
zuzS
1
21
212
11
If , the series is called convergent and S (z) is its sum.( ) ( )zSzSnn
=∞→
lim
A necessary (but not sufficient) condition for convergence is that lim n→∞ un(z) = 0
Example: The Harmonic Series
++++++=∑
∞
= nnn
1
4
1
3
1
2
1
1
1
1
0
1
limlim ==
∞→∞→ n
u
n
n
n
By grouping the terms in the sum as
∞→+
+
++
+
+
+
++
++++
+++
=>>>
2
1
22
1
2
1
1
2
1
1
1
8
1
7
1
6
1
5
1
4
1
3
1
2
1
1
p
p
pppp
Return to the Table of Content
79. 79
SOLO Complex Variables
Absolute Convergence of Series of Functions
Given a series of functions:
( ) ( )∑=
=
n
i
in
zuzS
1
If is convergent the series is called absolutely convergent.( )∑=
n
i
i zu
1
If is convergent but is not, the series is called
conditionally convergent.
( )∑=
n
i
i
zu
1
( )∑=
n
i
i zu
1
Return to the Table of Content
80. 80
SOLO Complex Variables
Uniformly Convergence of Sequences and Series
If for the sequence of functions {un(z)} we can find for each ε>0 a number N (ε)
such that for all z∈R we say that {un} uniformly
converges to U (z). ( N is a function only of ε and not of z)
( ) ( ) ( )εε NnzUzun >∀<−
If the series of functions {Sn(z)} converges to S (z) for all z∈R
we define the remainder ( ) ( ) ( ) ( )∑
∞
+=
=−=
1
:
nz
inn zuzSzSzR
The series of functions {Sn(z)} is uniformly convergent to S (z)
if for all for all ε>0 and for all z∈R we can find a number N (ε)
such that ( ) ( ) ( )εε NnzSzSn >∀<− x
y C
R
Return to the Table of Content
81. 81
SOLO Complex Variables
Weierstrass M (Majorant) Test
Karl Theodor Wilhelm
Weierstrass
(1815 – 11897)
The most commonly encountered test for Uniform
Convergence is the Weierstrass M Test.
Proof:
Since converges, some number N exists such that for n + 1 ≥ N,
If we can construct a series of numbers , in
which Mi ≥ |ui(x)| for all x in the interval [a,b] and
is convergent, the series ui(x) will be uniformly
convergent in [a,b].
∑
∞
1 iM
∑
∞
1 iM
∑
∞
1 iM
ε<∑
∞
+= 1ni
iM
This follows from our definition of convergence. Then, with |ui(x)| ≤ Mi for
all x in the interval a ≤ x ≤ b, ( ) ε<∑
∞
+= 1ni
i xu
Hence ( ) ( ) ( ) ε<=− ∑
∞
+= 1ni
in xuxsxS
and by definition is uniformly convergent in [a,b]. Since we
specified absolute values in the statement of the Weierstrass M Test, the
series is also Absolutely Convergent. Return to the Table of Content
∑
∞
=1i iu
∑
∞
=1i iu
82. SOLO Complex Variables
Abel’s Test
Niels Henrik Abel
( 1802 – 1829)
If
and the functions fn(x) are monotonic decreasing |
fn+1(x) ≤ fn(x)| and bounded, 0 ≤ fn(x) ≤ M, for all x in
[a,b], then Converges Uniformly in [a,b].
( ) ( )
convergentAa
xfaxu
n
nnn
,=
=
∑
( )∑n n xu
( ) ( ) [ ] ( ) [ ]bainconvergentuniformlyisxu
xd
d
baincontinuousarexu
xd
d
andxu n nnn ,&, 1∑
∞
=
Return to the Table of Content
Uniformly convergent series have three particular useful properties:
1.If the individual terms un(x) are continuous, the series sum
is also continuous.
2. If the individual terms un(x) are continuous, the series may be integrated term by term.
The sum of the integrals is equal to to the integral of the sum, then
3.The derivative of the series sum f (x) equals the sum of the individual term derivatives
providing the following conditions are satisfied
( ) ( )∑
∞
=
= 1n n xuxf
( ) ( )∑ ∫∫
∞
=
= 1n
b
a
n
b
a
xdxuxdxf
( ) ( )∑
∞
=
= 1n n xu
xd
d
xf
xd
d
83. SOLO Complex Variables
Uniformly Convergent Series of Analytic Functions
Suppose that
(i)Each number of a sequence of functions u1(z), u2(z),…,un(z),…
is Analytic inside a Region D,
(ii)The Series
is Uniformly Convergent through Every Region D’ interior to D.
Then the function
is Analytic inside D, and all its Derivatives can be calculated by term-by-term
Differentiation.
( )∑
∞
=1n n zu
( ) ( )∑
∞
=
= 1n n zuzf
Proof:
Let C be a simple closed contour entirely inside D, and
let z a Point inside D. Since un(z) is Analytic inside D, we
have:
( ) ( )
∫ −
=
C
n
n wd
zw
wu
i
zu
π2
1
for each function un(z). Hence
( ) ( ) ( )
∑ ∫∑
∞
=
∞
=
−
== 11
2
1
n
C
n
n n wd
zw
wu
i
zuzf
π
84. SOLO Complex Variables
Uniformly Convergent Series of Analytic Functions
Proof (continue – 1):
Since is Uniformly Convergent on C, we may multiply by 1/(w-z)
and integrate term-by-term:
and we obtain
( ) ( ) ( )
∑ ∫∑
∞
=
∞
=
−
== 11
2
1
n
C
n
n n wd
zw
wu
i
zuzf
π
( )∑
∞
=1n n zu
( ) ( )
∑ ∫∫∑
∞
=
∞
=
−
=
− 11 n
C
n
C
n
n
wd
zw
wu
wd
zw
wu
( ) ( ) ( )
∫∫∑ −
=
−
=
∞
=
CC
n
n
wd
zw
wf
i
wd
zw
wu
i
zf
ππ 2
1
2
1
1
The last integral proves that f(z) is Analytic inside C, and since C is an
arbitrary closed contour inside D, f(z) is Analytic inside D.
85. SOLO Complex Variables
Uniformly Convergent Series of Analytic Functions
Proof (continue – 2):
Since f(z) is Analytic in D, the same is true for f’(z),
therefore we can write
( ) ( )
( )∫ −
=
C
wd
zw
wf
i
zf 2
2
1
'
π
Therefore
q.e.d.
( ) ( )
( )
( )
( )
( )
( )
( )∑∑ ∫
∫∑∫
∞
=
∞
=
∞
=
=
−
=
−
=
−
=
11 2
1 22
'
2
1
2
1
2
1
'
n nn
C
n
eConvergenc
Uniform
C
n n
C
zuwd
zw
wu
i
zw
wd
wu
i
wd
zw
wf
i
zf
π
ππ
Hence the Series can be Differentiate term-by-term
86. SOLO Complex Variables
Uniformly Convergent Series of Analytic Functions
Remarks on the above Theorem
(i)The contrast between the conditions for term-by-term differentiation of Real Series,
and of Series of Analytic Functions is that
- In the case of Real Series we have to assume that the Differentiated Series is
Uniformly Convergent.
- In the case of Series of Analytic Series the Theorem proved that the Differentiated
Series is Uniformly Convergent.
(ii)If we merely assumed that the given Series is Uniformly Convergent on a certain
Closed Curve C, we could prove as before that f(z) is Analytic at all points inside C.
(iii) Even if we assume that each un(z) is Analytic on the Boundary of the Domain D, and
the Series is Uniformly Convergent on the Boundary, we can not prove that f(z) is
Analytic on the Boundary, or the Differentiated Series Converges on the Boundary.
(iv) The Theorem may be stated as a Theorem on Sequences of Functions:
If fn(z) is Analytic in D for each value of n, and tends to f(z) Uniformly in any
Region interior to D, then f(z) is Analytic inside D, and fn’(z) tends to f’(z) Uniformly in
any Region interior to D.
Return to the Table of Content
87. 87
SOLO Complex Variables
Let f (z) be analytic at all points within a circle C0 with center at z0 and radius r0.
Then at each point z inside C0:
Taylor’s Series
( ) ( ) ( ) ( )
( )
( )
( )
( )
( ) +−++−+−+=
n
n
zz
n
zf
zz
zf
zzzfzfzf 0
02
0
0
000
!!2
''
'
Power Series
Brook Taylor
1685 - 1731
a convergent power series for some |z-z0|<R (radius of convergence).
C
x
y
R
z0
C0
C1
z
z'
r0
r1
r
Proof:
Start with the Cauchy’s Integral Formula: ( ) ( )
∫ −
=
C
zd
zz
zf
i
zf '
'
'
2
1
π
Use the identity:
α
α
ααα
α −
+++++≡
−
−
1
1
1
1 12
n
n
for: ( ) ( )
−
−
−
−
−
+
−
−
+++
−
−
+
−
=
−
−
−
−
=
−+−
=
−
− nn
zz
zz
zz
zzzz
zz
zz
zz
zz
zz
zzzzzzzzzz
0
0
0
0
1
0
0
0
0
0
0
0000
'
'
1
1
''
1
'
1
'
1
1
'
1
'
1
'
1
Since z inside C0 |z-z0|=r < r0. For z’ is on C1 we have |z’-z0|=r1<r0
88. 88
SOLO Complex Variables
Taylor’s Series (continue - 1)
Power Series
C
x
y
R
z0
C0
C1
z
z'
r0
r1
r
Proof (continue - 1):
Using the Cauchy’s Integral Formula:
( ) ( )
∫ −
=
C
zd
zz
zf
i
zf '
'
'
2
1
π
( ) ( )
−
−
−
−
−
+
−
−
+++
−
−
+
−
=
−
− nn
zz
zz
zz
zzzz
zz
zz
zz
zz
zf
zz
zf
0
0
0
0
1
0
0
0
0
0
'
'
1
1
''
1
'
'
'
'
( )
( )
( )
( )
( )
( ) ( )
( )
( )
( )
( )
( ) ( )
( ) ( )
( ) ( ) ( )
( )
( )
( ) n
n
n
R
C
n
n
n
nzf
C
n
zf
C
zf
C
Rzz
n
zf
zzzfzf
zzzz
zdzf
i
zz
zz
zz
zdzf
i
zz
zz
zdzf
izz
zdzf
i
n
n
+−++−+=
−−
−
+
−
−
++−
−
+
−
=
∫
∫∫∫
−
0
0
000
0
0
1
0
!/
0
0
!1/'
2
00
!
'
''
''
2
'
''
2
1
'
''
2
1
'
''
2
1
0
0
0
0
0
0
0
π
πππ
We have:
( )
( )
n
i
n
n
C
n
n
n
r
r
rr
Mr
der
rrr
Mr
zzzz
zdzfzz
R
−
=
−
≤
−−
−
≤ ∫∫ 11
1
2
0
1
110
0
2''
''
2 0
π
θ
θ
ππ
where |f (z)|<M in C0 and r/r1< 1, therefore: 0
∞→
→
n
nR q.e.d.
0100
' rrzzrzz <=−<=−
89. 89
SOLO Complex Variables
Let f (z) be analytic at all points within a circle C0 with center at z0 and radius r0.
Then at each point z inside C0:
Taylor’s Series (continue – 2)
( ) ( ) ( ) ( )
( )
( )
( )
( )
( ) +−++−+−+=
n
n
zz
n
zf
zz
zf
zzzfzfzf 0
02
0
0
000
!!2
''
'
Power Series
Brook Taylor
1685 - 1731
a convergent power series for some |z-z0|<R (radius of convergence).
C
x
y
R
z0
C0
C1
z
z'
r0
r1
r
Proof (continue – 2):
( )
( )
( )
( )∑
∞
=
−=
0
01
0
1
!k
k
k
zz
k
zf
zfSuppose the series converges for z=z1:
( )
( )
( ) ( )
( )
−
−
−
=≤
−
−
−=−≤
<∞
=
∞
=
∞
=
∑∑∑
01
0
1
001
0
0
01
0
0
0
0
1
!!
zz
zz
M
aM
zz
zz
zz
k
zf
zz
k
zf
zf
a
k
k
k
k
k
k
k
k
k
Since the series converges all its terms are bounded
( )
( )
,2,1,0
!
01
0
=∀<− nMzz
k
zf k
k
Define:
01
0
:
zz
zz
a
−
−
=
Therefore the series f (z) converges for all 010 zzzz −<−
The region of convergence of a Taylor series of f (z) around a point z0 is a circle centered
at z and radius of convergence R that extends until f (z) stops to be analytic.
90. 90
SOLO Complex Variables
Taylor’s Series (continue – 3)
( ) ( ) ( ) ( ) ( )
( )
+++++= n
n
z
n
f
z
f
zffzf
!
0
!2
0''
0'0 2
Power Series
Brook Taylor
1685 - 1731
When z0 = 0 the series is called Maclaurin’s series after
Colin Maclaurin a contemporary of Brook Taylor.
Colin Maclaurin
1698 - 1746
Examples of Taylor’s Series
∞<= ∑
∞
=
z
n
z
e
n
n
z
0 !
( )
( )
∞<
−
−= ∑
∞
=
−
+
z
n
z
z
n
n
n
0
12
1
!12
1sin
( )
( )
∞<−= ∑
∞
=
z
n
z
z
n
n
n
0
2
!2
1cos
( )
∞<
−
= ∑
∞
=
−
z
n
z
z
n
n
0
12
!12
sinh
( )
∞<= ∑
∞
=
z
n
z
z
n
n
0
2
!2
cosh
( ) 11
1
1
0
<−=
+ ∑
∞
=
zz
z n
nn
Return to the Table of Content
91. 91
SOLO Complex Variables
Laurent’s Series (1843)
Power Series
If f (z) is analytic inside and on the boundary of the ring
shaped region R bounded by two concentric circles C1 and
C2 with center at z0 and respective radii r1 and r2 (r1 > r2),
then for all z in R:
Pierre Alphonse Laurent
1813 - 1854
C1
x
y
R
C2R2
R1
z0
z
z'
r
P1
P0
z'( ) ( )
( )∑∑
∞
=
−
∞
= −
+−=
1 00
0
n
n
n
n
n
n
zz
a
zzazf
( )
( )
,2,1,0'
'
'
2
1
2
1
0
=
−
= ∫ +−−
nzd
zz
zf
i
a
C
nn
π
( )
( )
,2,1,0'
'
'
2
1
1
1
0
=
−
= ∫ +
nzd
zz
zf
i
a
C
nn
π
Proof:
Since z is inside R we have R1 <|z-z0|=r < R2 , and |z’-z0|= R1 on C1 and R2 on C2.
Start with the Cauchy’s Integral Formula:
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )
∫∫∫∫∫∫ −
−
−
=→
−
+
−
+
−
+
−
=
212
0
1
1
01
'
'
'
'
'
'
'
'
'
'
'
'
'
'
'
'
'
'
0
CCC
P
P
P
PC
dz
zz
zf
dz
zz
zf
zfdzdz
zz
zf
dz
zz
zf
dz
zz
zf
dz
zz
zf
zf
92. 92
SOLO Complex Variables
Laurent’s Series (continue - 1)
Power Series
Pierre Alphonse Laurent
1813 - 1854
C1
x
y
R
C2R2
R1
z0
z z'
r
Proof (continue – 1):
Since z and z’ are inside R we have R1 >|z-z0|=r >R2, |z’-z0|=R1.
From Cauchy’s Integral Formula: ( ) ( ) ( )
∫∫ −
−
−
=
21
'
'
'
'
'
'
CC
dz
zz
zf
dz
zz
zf
zf
Use the identity:
α
α
ααα
α −
+++++≡
−
−
1
1
1
1 12
n
n
For I integral:
−
−
−
−
−
+
−
−
++
−
−
+
−
=
−
−
−
−
=
−
− nn
zz
zz
zz
zzzz
zz
zz
zz
zz
zz
zzzzzz 0
0
0
0
1
0
0
0
0
0
0
00
'
'
1
1
''
1
'
1
'
1
1
'
1
'
1
( )
( )
( )
( )
( )
( ) ( )
( )
( )
( )
( ) ( )
( ) ( )
( ) ( ) ( ) ( ) ( ) n
n
n
R
C
n
n
n
zs
C
n
za
C
za
C
Rzzzazzzaza
zzzz
zdzf
i
zz
zz
zz
zdzf
i
zz
zz
zdzf
izz
zdzf
i
n
n
+−⋅++−⋅+=
−−
−
+
−
−
++−
−
+
−
=
∫
∫∫∫
−
0000100
0
0
1
0
0
02
00
2
0
2
01
2
00
2
''
''
2
'
''
2
1
'
''
2
1
'
''
2
1
π
πππ
( )
∫ −1
'
'
'
2
1
C
zd
zz
zf
iπ
We have:
( )
( )
n
n
n
C
n
n
n
R
r
rR
MR
dR
rRR
Mr
zzzz
zdzfzz
R
−
=
−
≤
−−
−
≤ ∫∫ 11
1
2
0
1
110
0
2''
''
2 0
π
θ
ππ
where |f (z)|<M in R and r/R1< 1, therefore: 0
∞→
→
n
nR
93. 93
SOLO Complex Variables
Laurent’s Series (continue - 2)
Power Series
Pierre Alphonse Laurent
1813 - 1854
C1
x
y
R
C2R2
R1
z0
z z'
r
Proof (continue – 1):
Since z and z’ are inside R we have R1 >|z-z0|=r > R2, |z’-z0|=R2.
From Cauchy’s Integral Formula: ( ) ( ) ( )
∫∫ −
−
−
=
21
'
'
'
'
'
'
CC
dz
zz
zf
dz
zz
zf
zf
Use the identity:
α
α
ααα
α −
+++++≡
−
−
1
1
1
1 12
n
n
For II integral:
−
−
−
−
−
+
−
−
++
−
−
+
−
=
−
−
−
−
=
−
−
− nn
zz
zz
zz
zzzz
zz
zz
zz
zz
zz
zzzzzz 0
0
0
0
1
0
0
0
0
0
0
00
'
'
1
1''
1
1
'
1
11
'
1
( ) ( )
( )
( )
( )
( )
( )
( )
( )
( ) ( )
( ) ( )
( ) ( ) ( ) ( ) n
n
n
R
C
n
n
n
za
C
n
za
CC
Rzzzazzza
zzzz
zdzfzz
i
zzzz
zdzf
izzzz
zdzf
i
zdzf
i
n
n
−
+−
+−
−
−
+−+−−
+−++−=
−−
−
+
−
−
++
−
−
+=
−
+−−
∫
∫∫∫
1
001
1
001
0
0
1
0
1
00
2
0
0
0
01
0
01
00
'
'''
2
1
1
'
''
2
11
'
''
2
1
''
2
1
π
πππ
( )
∫ −C
zd
zz
zf
i
'
'
'
2
1
π
We have:
( )
( )
n
n
n
C
n
n
n
r
R
rR
RM
dR
rRr
MR
zzzz
zdzfzz
R
−
=
−
≤
−−
−
≤ ∫∫−
2
2
2
2
0
2
2
2
0
0
2'
'''
2
1
0
π
θ
ππ
where |f (z)|<M in R and R2/r< 1, therefore: 0
∞→
− →
n
nR
Return to the Table of Content
94. 94
SOLO Complex Variables
Zeros of Holomorphic Functions
( ) ( )
( ) ( )
( ) ( )
( ) 00 00
1
0
1
0 ≠==== −
zfandzfzfzf kk
We say that Holomorphic Function f (z) has a Zero of Order k at z = z0 if
If f (z) has a Zero of Order k at z = z0, by Taylor expansion, we can write
with Holomorphic and nonzero.
( ) ( ) ( )zfzzzf k
k
0−=
( ) ( )
( )kk
zz
zf
zf
0
:
−
=
Note:
(1) For g (z) = 1/ f (z) the Order k Zeros of f (z) are Order k Poles of g (z)
( )
( ) ( ) ( )zfzzzf
zg
k
k
111
0−
==
(2) For
( ) ( )
( )
( )
( )zf
zf
zz
k
zf
zf
zf
zd
d
k
k ''
ln
0
+
−
==
z = z0, is a Simple Pole.
Return to the Table of Content
95. 95
SOLO Complex Variables
Theorem: f(z) Analytic and Nonzero → ln|f(z)| Harmonic
If f (z) is analytic for in an Open Set Ω, and has no zeros in Ω,
then ln |f(z)| is Harmonic in Ω.
Proof :
Since f (z) is analytic and has no zeros the logarithm of f(z) is also Analytic
g (z) := ln f (z) is Analytic
Therefore
q.e.d.
( ) ( ) ( ) ( ) ( ) ( )zgizgzgizgzg
eeeezf ImReImRe
=== +
and
( ) Harmoniczgizgzg )(Im)(Re +=
( ) ( ) ( ) ( )zgzgizg
eeezf Re
1
ImRe
=⋅=
( ) ( )
( ) Harmoniczgezf zg
Relnln Re
==
meaning
Harmonicyixgyixg
yixg
y
yixg
x
yixg
y
yixg
x
)(Re),(Re
0)(Im)(Im&0)(Re)(Re 2
2
2
2
2
2
2
2
++⇔
=+
∂
∂
++
∂
∂
=+
∂
∂
++
∂
∂
Return to the Table of Content
96. 96
SOLO Complex Variables
Polynomial Theorem
If f (z) is analytic for all finite values of z, and as |z| → ∞, and
then f (z) is a polynomial of degree ≤ k.
Proof :
Integrating this result we obtain
q.e.d.
( ) kgivenAsomeforzforzAzf
k
&0, >∞→≤
Using Taylor Series around any analytic point z = a
( ) ( ) ( ) ( )
( ) ( ) ( )
( ) +⋅
−
++⋅−+= af
n
az
afazafzf n
n
!
1
( ) ( ) ( )
( ) ( )
( ) ( )
( ) Aafaz
z
az
n
af
z
az
k
af
z
az
z
af
z
zf nkn
k
k
k
k
k
kkk
≤+⋅−⋅
−
++⋅
−
++⋅
−
+≤
−
!
1
!
11
If |z| → ∞ , the previous equation is possible only if f(n)
(a)=0 for all n > k and all a.
Therefore f (k)
(a) = constant for all a, i.e. f (k)
(z)=ak=constant.
( ) 0
1
1 azazazf k
k
k
k +++= −
−
Continuing to Integrate we obtain
( )
( ) 1
1
−
−
+= kk
k
azazf
Return to the Table of Content
97. 97
SOLO Complex Variables
The Argument Theorem
If f (z) is analytic inside and on a simple closed curve C except for a
finite number of poles inside C
(this is called a Meromorphic Function), then
( )
( )
PNdz
zf
zf
i C
−=∫
'
2
1
π
where N and P are respectively the number of zeros and poles inside C.
Proof:
Let write f (z) as: ( )
( )
( )
( )zG
z
z
zf
j
p
j
k
n
k
j
k
∏
∏
−
−
=
α
β
where: ,∑∑ ==
j
j
k
k pPnN &
( ) ( ) ( ) ( )zGzpznzf jjk
k
k
lnlnlnln +−−−= ∑∑ αβ
Differentiate this equation:
( )
( ) ( ) ( )
( )
( )
Cinanalytic
j
j
k k
k
zG
zG
z
p
z
n
zf
zf
'
'
+
−
−
−
= ∑∑ αβ
( )
( ) ( ) ( )
( )
( )
PNpn
zG
zG
iz
p
iz
n
i
dz
zf
zf
i
j
k
k
C
p
C j
j
k
n
C k
k
C
jk
−=−=
+
−
−
−
=
∑∑
∫∑∫∑ ∫∫
0
'
2
1
2
1
2
1'
2
1
παπβππ
and G (z) ≠ 0 and analytic in C (G’ (z) exists).
( ) ( ) k
C k
k
C k
k
ndz
z
n
i
dz
z
n
i
k
=
−
=
− ∫∫ β
βπβπ 2
1
2
1
( ) ( ) j
C j
j
C j
j
pdz
z
p
i
dz
z
p
i
j
=
−
=
− ∫∫ α
απαπ 2
1
2
1
x
y C
R
1α
3
α
2α kα
1β
2β j
β
k
Cα
3αC
2αC
2βC
1βC
j
Cβ
q.e.d.
Return to the Table of Content
98. 98
SOLO Complex Variables
Rouché’s Theorem
Eugène Rouché
1832 - 1910
If f (z) and g (z) are analytic inside and on a simple closed curve C
and if |g (z)| < |f (z)| on C, then f (z) + g (z) and f (z) have the same number
of zeros inside C.
Proof:
Let F (z):= g (z)/f (z)
If N1 and N2 are the number of zeros inside C of f (z) + g (z) and f (z) respectively, and
using the fact that those functions are analytic and C, therefore they have no poles
inside C, using the Argument Theorem we have ( )
( )∫=
C
dz
zf
zf
i
N
'
2
1
2
π
( ) ( )
( ) ( )∫ +
+
=
C
dz
zgzf
zgzf
i
N
''
2
1
1
π
( )
( )
( )
0
1'
2
1
1
'
2
1'
2
1
1
''
2
1
'
2
1
1
'1'
2
1'
2
1'''
2
1
32
21
=
+−+−=
+
=−
+
+=
−
+
++
=−
+
++
=−
∫∫∫∫
∫∫∫∫
CCCC
CCCC
dzFFFF
i
dz
F
F
i
dz
f
f
i
dz
F
F
f
f
i
dz
f
f
i
dz
Ff
FfFf
i
dz
f
f
i
dz
Fff
FfFff
i
NN
ππππ
ππππ
We used the fact that |F|=|g/f|<1 on C, so the series 1-F+F2
+…
is uniformly
convergent on C and integration term by term yields the value zero. Thus N1=N2
q.e.d.
Return to the Table of Content
99. 99
SOLO Complex Variables
Foundamental Theorem of Algebra (using Rouché’s Theorem)
Every polynomial equation P (z) = a0 + a1z+a2z2
+…+anzn
=0 with degree
n ≥ 1 and an ≠ 0 (ai are complex constants) has at exactely n zeros.
Proof:
Define:
Take C as the circle with the center at the origin and radius r > 1.
q.e.d.
( ) n
n zazf =: ( ) 1
1
2
210
: −
−
++++= n
n
zazazaazg
( )
( )
ra
aaaa
ra
rararara
ra
rararaa
za
zazazaa
zf
zg
n
n
n
n
n
n
nnn
n
n
n
n
n
n
n
n
1210
1
1
1
2
1
1
1
0
1
1
2
210
1
1
2
210
−
−
−
−−−
−
−
−
−
++++
=
++++
≤
++++
≤
++++
=
By choosing r large enough we can make |g (z)|/|f (z)|<1, and using Rouché’s Theorem
( ) ( ) ( ) n
n
n
n zazazazaazgzfzP +++++=+= −
−
1
1
2
210
and (n zeros at the origin z = 0) have the same number of zeros,
i.e. P (z) has exactly n zeros.
( ) n
n zazf =:
Return to the Table of Content
100. 100
SOLO Complex Variables
Jensen’s Formula
Johan Ludwig William Valdemar
Jensen
(1859 – 5 1925)
which is the Mean-Value Property of the Harmonic Function ln |f(z)|.
Suppose that ƒ is an Analytic Function in a region in the
complex plane which contains the closed disk D of radius r
about the origin, a1, a2, ..., an are the zeros of ƒ in the interior
of D repeated according to multiplicity, and ƒ(0) ≠ 0. Jensen's
formula states that
This formula establishes a connection between the Moduli of the
zeros of the function ƒ(z) inside the disk D and the average of
log |f(z)| on the boundary circle |z| = r, and can be seen as a
generalization of the Mean Value Property of Harmonic
Functions. Namely, if f(z) has no zeros in D, then Jensen's
formula reduces to
( ) ( )∫∑ +
=
=
π
θ
θ
π
2
01
ln
2
1
ln0ln derf
r
a
f j
n
k
k
( ) ( )∫=
π
θ
θ
π
2
0
ln
2
1
0ln derff j
101. 101
SOLO Complex Variables
Jensen’s Formula (continue – 1)
Proof
If f has no Zeros in D, then we can use Gauss’ Main Value
Theorem to ln f(z) that is Harmonic in D
( ) ( )∫=
π
θ
θ
π
2
0
ln
2
1
0ln derff j
Since f has Zeros a1, a2,…, an inside D, ( |z| < r) let define the Holomorphic Function
F (z) without Zeros in D :
( ) ( )
( )∏= −
−
⋅=
n
k k
k
raz
rza
zfzF
1
2
/
/1
:
Apply the Gauss’ Main Value theorem for |z|=r
( ) ( ) ( ) ( )∫∫∑ ==
−=
=
π
θ
π
θ
θ
π
θ
π
2
0
2
01
ln
2
1
ln
2
1
ln0ln0ln derfderF
r
a
fF ii
n
k
k
and:
1
1
1
1
/1
1
/1
/
/1
/
/1
2
2
1
2
22
1
22
22
=
−
−
=
−
−
=
−
−
=
−
−
=
−
−
→=⋅=
r
z
a
r
z
a
r
zz
z
a
rza
z
a
rza
z
r
raz
rza
raz
rza
rzzz
k
k
k
k
k
k
k
k
k
k
The Zeros of f(z) are cancelled.
q.e.d.
We have: i.e. zk1 is outside the Disk
D.
rzarzforrza k
ra
kkkk
k
>→==−
<
1
2
1
2
1 /0/1
102. 102
SOLO Complex Variables
Jensen’s Formula (continue – 2)
Johan Ludwig William Valdemar
Jensen
(1859 – 5 1925)
( ) ( )
( )zh
zg
zzf l
=
Jensen's formula may be generalized for functions which are
merely meromorphic on D. Namely, assume that
where g and h are analytic functions in D having zeros at
respectively, then Jensen's formula for meromorphic functions
states that
Jensen's formula can be used to estimate the number of zeros of
analytic function in a circle. Namely, if f is a function analytic in a
disk of radius R centered at z0 and if |f(z)| is bounded by M on the
boundary of that disk, then the number of zeros of f(z) in a circle of
radius r < R centered at the same point z0 does not exceed
{ } { }0,,0,, 11 DbbandDaa mn ∈∈
( )
( )
( )∫+= −
π
θ
π
2
01
1
ln
2
1
ln
0
0
ln i
m
nnm
erf
bb
aa
r
h
g
( ) ( )0
ln
/ln
1
zf
M
rR
103. 103
SOLO Complex Variables
Jensen’s Formula (continue – 3)
Johan Ludwig William Valdemar
Jensen
(1859 – 5 1925)
Jensen's formula may be put in an other way. If n (r) denotes
the number of Zeros, including multiplicity, and p (r) denotes
the number of Poles, including multiplicity, for |z| < r, then
the Jensen’s Formula can be written as
( ) ( ) ( ) ( )0lnln
2
1
lnln
2
0110
fderf
b
r
a
r
dx
x
xpxn j
n
j j
m
k k
r
−=
−
=
−
∫∑∑∫ ==
π
θ
θ
π
Proof
−−−=
−
∑∑∑∑ ====
n
j
j
m
k
k
n
j j
m
k k
brnarm
b
r
a
r
1111
lnlnlnlnlnln
( ) ( ) ( ) ( )
−+−−−+−= ∑∑
−
=
+
−
=
+ n
n
j
jjm
m
k
kk brnbbjarnaak lnlnlnlnlnlnlnln
1
1
1
1
1
1
+−
+= ∫∑ ∫∫∑ ∫
−
=
−
=
++ r
r
n
j
r
r
r
r
m
k
r
r n
j
jn
k
k
x
xd
n
x
xd
j
x
xd
m
x
xd
k
1
1
1
1
11
104. 104
SOLO Complex Variables
Jensen’s Formula (continue – 4)
Johan Ludwig William
Valdemar Jensen
(1859 – 5 1925)
Jensen's formula may be put in an other way. If n (r) denotes
the number of Zeros, including multiplicity, and p (r) denotes
the number of Poles, including multiplicity, for |z| < r, then
the Jensen’s Formula can be written as
( ) ( ) ( ) ( )0lnln
2
1
lnln
2
0110
fderf
b
r
a
r
dx
x
xpxn j
n
j j
m
k k
r
−=
−
=
−
∫∑∑∫ ==
π
θ
θ
π
Proof (continue – 1)
+−
+=
−
∫∑ ∫∫∑ ∫∑∑
−
=
−
===
++ r
r
n
j
r
r
r
r
m
k
r
r
n
j j
m
k k n
j
jn
k
k
x
xd
n
x
xd
j
x
xd
m
x
xd
k
b
r
a
r 1
1
1
111
11
lnln
But k = n (x) for rm ≤ x ≤ rm+1, m = n (x) for rn ≤ x ≤ r, and
j = p (x) for rj ≤ x ≤ rj+1, n = p (x) for rn ≤ x ≤ r Hence
( ) ( ) xd
x
xp
xd
x
xn
b
r
a
r
rrn
j j
m
k k
∫∫∑∑ −=
−
== 0011
lnln
q.e.d.
Return to the Table of Content
105. 105
SOLO Complex Variables
Poisson-Jensen’s Formula for a Disk
Johan Ludwig William Valdemar
Jensen
(1859 – 5 1925)
Poisson Formula states:
Siméon Denis Poisson
1781-1840
Let g (z) be analytic inside and on the circle C defined by
|z| = R, and let z = r e iθ
be any point inside C, then:
( ) ( )∫ −
−
=
π
φ
θφ
θ
φ
π
2
0
2
22
2
1
deRg
ereR
rR
erg i
ii
i
In our case ƒ is an analytic function in a region in the complex
plane which contains the closed disk D of radius R about the
origin, a1, a2, ..., am are the Zeros, and b1, b2, ..., bn are the Poles
of ƒ in the interior of D repeated according to multiplicity.
Since f has Zeros a1, a2,…, an inside D, ( |z| < r)
let define the Holomorphic Function
F (z) without Zeros in D :
( ) ( )
( )
( ) Rz
Rzb
Rbz
Raz
Rza
zfzF
m
k
n
j j
j
k
k
=
−
−
⋅
−
−
⋅= ∏ ∏= =1 1
2
2
/1
/
/
/1
:
Zeros and Poles of f(z) are cancelled, and new ones are outside D.
106. 106
SOLO Complex Variables
Poisson-Jensen’s Formula for a Disk
Johan Ludwig William Valdemar
Jensen
(1859 – 5 1925)
Let apply the Poisson Formula to g (z) = ln |F (z)|:
( ) ( ) ( )
( )
( )
∏∏ == −
−
+
−
−
+==
n
j j
j
m
k k
k
Rzb
Rbz
Raz
Rza
zfzFzg
1
2
1
2
/1
/
ln
/
/1
lnlnln:
( )
( ) 1
/1
/
/
/1
2
2 Rz
j
j
Rz
k
k
Rzb
Rbz
Raz
Rza ==
=
−
−
=
−
−
Siméon Denis Poisson
1781-1840
We proved that:
( ) ( )φφ ii
eRfeRg ln=
The Poisson Formula to g (z) = ln F (z) is:
( )
( )
( )
( ) RzdeRf
ereR
rR
Rzb
Rbz
Raz
Rza
zf
i
ii
n
j j
j
m
k k
k
<
−
−
=
−
−
+
−
−
+
∫
∏∏ ==
π
φ
θφ
φ
π
2
0
2
22
1
2
1
2
ln
2
1
/1
/
ln
/
/1
lnln
RzRzbandRzRza jjjkkk >→=−>→=− 1
2
11
2
1 0/1,0/1
107. 107
SOLO Complex Variables
Poisson-Jensen’s Formula for a Disk
Johan Ludwig William Valdemar
Jensen
(1859 – 5 1925)
Siméon Denis Poisson
1781-1840
The Poisson-Jensen’s Formula for a Disk is:
( )
( )
( )
( ) RzdeRf
ereR
rR
Rzb
Rbz
Raz
Rza
zf
i
ii
n
j j
j
m
k k
k
<
−
−
=
−
−
+
−
−
+
∫
∑∑ ==
π
φ
θφ
φ
π
2
0
2
22
1
2
1
2
ln
2
1
/1
/
ln
/
/1
lnln
For z = r = 0 we obtain the Jensen’s Formula:
( ) ( )∫=
+ −
π
φ
φ
π
2
021
21
ln
2
1
ln0ln deRfR
aaa
bbb
f inm
m
n
If there are no Zeros or Poles in D, it reduces to
Poisson’s Formula:
( ) ( ) RzdeRf
ereR
rR
zf i
ii
<
−
−
= ∫
π
φ
θφ
φ
π
2
0
2
22
ln
2
1
ln
Return to the Table of Content
108. 108
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
If f (z) is analytic inside and on the boundary of a circle C, except it’s center z0, then
according to Laurent’s Series:
C
x
y
R
R
z0
z
z'
r
P0
( ) ( )
( )∑∑
∞
=
−
∞
= −
+−=
1 00
0
n
n
n
n
n
n
zz
a
zzazf
( )
( )
,2,1,0'
'
'
2
1
1
0
=
−
= ∫ +−− nzd
zz
zf
i
a
C
nn
π
( )
( )
,2,1,0'
'
'
2
1
1
0
=
−
= ∫ +
nzd
zz
zf
i
a
C
nn
π
Let compute
( ) ( ) ( )
( )
,2,1,0'
'
'
''''
1 00
0 =
−
+−= ∑ ∫∫ ∑ ∫
∞
=
−
∞
=
nzd
zz
zf
azdzzazdzf
n C
nn
C n C
n
n
( ) ( )
( )
=
≠
=
−
==− ∫∫ 12
10
'
'
'
&,2,1,00''
0
0
ni
n
zd
zz
zf
nzdzz
C
n
C
n
π
Therefore: ( ) 12'' −∫ = aizdzf
C
π
Because only a-1 is involved in the integral above, it is called the residue of
f (z) at z = z0.
Return to the Table of Content
109. 109
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
According to residue definition the residue of f (z) at z = z0 can be computed as follows:
C
x
y
R
R
z0
z
z'
r
P0
If z = z0 is a pole of order k, i.e. the Laurent series at
z0 is
Then:
( )∫=−
C
zdzf
i
a ''
2
1
1
π
Calculation of the Residues
( ) ( ) ( )
( ) ( ) +−+−++
−
++
−
+
−
= −−− 2
02010
0
2
0
2
0
1
zzazzaa
zz
a
zz
a
zz
a
k
k
( )
( ) ( )[ ]zfzz
zd
d
k
a
k
k
k
zz 01
1
1
!1
1
lim
0
−
−
= −
−
→−
( ) ( ) ( ) ( ) ( ) ( ) ( ) +−+−+−+++−+−=−
++
−
−
−
−
−
2
02
1
0100
2
02
1
010
kkk
k
kkk
zzazzazzaazzazzazfzz
and:
If z = z0 is a pole of order k=1, then:
( ) ( )[ ]zfzza
zz 01
0
lim −=
→−
( ) ( )
( )∑∑ =
−
∞
= −
+−=
k
n
n
n
n
n
n
zz
a
zzazf
1 00
0
Return to the Table of Content
110. 110
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
The Residue Theorem
If f (z) is analytic inside and on the boundary of a closed curve C, except at the singularities
z01, z02,…,z0n, which have residues Re1, Re2,…,Ren, then:
Proof:
( ) ( )n
C
izdzf ReReRe2'' 21 +++=∫ π
x
y C
R
01z
nzC
2zC
02z
1zC
nz0
Surround every singularity z0i by a small closed curve
Czi, that enclosed only this singularity. Connect those
Curves to C by a small corridor (the width of which
shrinks to zero, so that the integration along the opposite
directions will cancel out)
( ) ( ) ( ) ( ) 0''''''''
21
=−−−− ∫∫∫∫ znzz CCCC
zdzfzdzfzdzfzdzf
We have , therefore:( ) i
C
izdzf
zi
Re2'' π∫ =
( ) ( ) ( ) ( ) ( )n
CCCC
izdzfzdzfzdzfzdzf
znzz
ReReRe2'''''''' 21
21
+++=+++= ∫∫∫∫ π
q.e.d.
Return to the Table of Content
111. 111
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Theorem 1
If |F (z)| ≤ M/Rk
for z = R e iθ
where k > 1 and M are constants, then
where Γ is the semicircle arc of radius R, center at origin, in the
upper part of z plane.
( ) 0lim =∫Γ
→∞
zdzFR
x
y
Γ
R
Proof:
( ) 1
0
1
0
==
=
ΓΓ
=≤=≤ ∫∫∫∫ kk
i
k
eRz
k
R
M
d
R
M
deRi
R
M
zd
R
M
zdzF
i
π
θθ
ππ
θ
θ
Therefore: ( ) 0limlim
1
1
0
1
>
−→∞−
Γ
→∞
==≤ ∫∫
k
kRkR
R
M
d
R
M
zdzF
π
θ
π
( ) 0lim =∫Γ
→∞
zdzFR
and: ( ) ( ) ( ) 0limlimlim0 =≤≤−= ∫∫∫ Γ
→∞
Γ
→∞
Γ
→∞
zdzFzdzFzdzF
RRR
q.e.d.Return to the Table of Content
112. 112
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Jordan’s Lemma
If |F (z)| ≤ M/Rk
for z = R e iθ
where k > 0 and M are constants, then
where Γ is the semicircle arc of radius R, center at origin, in the
upper part of z plane, and m is a positive constant.
( ) 0lim =∫Γ
→∞
zdzFe zmi
R
x
y
Γ
R
Proof:
( ) 0lim =∫Γ
→∞
zdzFe zmi
R
using:
q.e.d.
( ) ( )∫∫
=
Γ
=
π
θθ
θ
θ
θ
0
deRieRFezdzFe iieRmi
eRz
zmi i
i
( ) ( ) ( )
( ) ∫∫∫
∫∫∫
−
−
−
−
−
−
=≤=
=≤
2/
0
sin
1
0
sin
1
0
sin
0
sincos
00
2
π
θ
π
θ
π
θθ
π
θθθθ
π
θθ
π
θθ
θθθ
θθθ
θθ
dRe
R
M
dRe
R
M
dReRFe
deRieRFedeRieRFedeRieRFe
Rm
k
Rm
k
iRm
iiRmRmiiieRmiiieRmi ii
2/0/2sin πθπθθ ≤≤≥ for
π2/π
1
θsin
πθ /2 θ
( ) ( )Rm
k
Rm
k
Rm
k
iieRmi
e
R
M
de
R
M
de
R
M
deRieRFe
i
−−
−
−
−
−=≤≤ ∫∫∫ 1
222
2/
0
/2
1
2/
0
sin
1
0
π
π
π
θ
π
θθ
θθθ
θ
( ) ( ) 01
2
limlim
0
=−≤ −
→∞→∞ ∫
Rm
kR
iieRmi
R
e
R
M
deRieRFe
i
π
θθ
θ
θ
Marie Ennemond Camille Jordan
1838 - 1922
113. 113
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Jordan’s Lemma Generalization
If |F (z)| ≤ M/Rk
for z = R e iθ
where k > 0 and M are constants, then
for Γ a semicircle arc of radius R, and center at origin:
( ) 00lim >=∫Γ
→∞
mzdzFe zmi
R
x
y
Γ
R
where Γ is the semicircle, in the upper part of z plane.
1
( ) 00lim <=∫Γ
→∞
mzdzFe zmi
R
x
y
Γ
R
where Γ is the semicircle, in the down part of z plane.
2
( ) 00lim >=∫Γ
→∞
mzdzFe zm
R x
y
Γ
R
where Γ is the semicircle, in the right part of z plane.
3
( ) 00lim <=∫Γ
→∞
mzdzFe zm
R
where Γ is the semicircle, in the left part of z plane.
4
x
yΓ
R
Return to the Table of Content
114. 114
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Integral of the Type Bromwwich-Wagner ( )∫
∞+
∞−
jc
jc
ts
sdsFe
iπ2
1
The contour from c - i ∞ to c + i ∞ is called Bromwich Contour
Thomas Bromwich
1875 - 1929
x
y
0<
Γt
R
c
x
y
0>Γt
R c
( ) ( ) ( ) ( )
( )
( )
( )
<
>
==
+==
∫
∫∫∫ Γ
∞+
∞−
→∞
∞+
∞−
0
0
2
1
lim
2
1
2
1
tzFeRes
tzFeRes
zdzF
i
sdsFesdsFe
i
sdsFe
i
tf
tz
planezRight
tz
planezLeft
ts
ic
ic
ts
R
ic
ic
ts
π
ππ
where Γ is the semicircle, in the right part of z plane, for t < 0.
where Γ is the semicircle, in the left part of z plane, for t > 0.
This integral is also the Inverse Laplace Transform.
Return to the Table of Content
115. 115
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Integral of the Type ,F (sin θ, cos θ) is a rational function of
sin θ and cos θ
( )∫
π
θθθ
2
0
cos,sin dF
Let z = e iθ
22
cos,
22
sin
11 −−−−
+
=
+
=
−
=
−
=
zzee
i
zz
i
ee iiii θθθθ
θθ
zizdddzideizd i
/=→== θθθθ
( ) ∫∫
+−
=
−−
C
zi
zdzz
i
zz
FdF
2
,
2
cos,sin
112
0
π
θθθ
where C is the unit circle with center at the origin.
C
x
y
R=1
Return to the Table of Content
116. 116
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Definite Integrals of the Type .( )∫
+∞
∞−
xdxF
If the conditions of Theorem 1, i.e.:
if |F (z)| ≤ M/Rk
for z = R e iθ
where k > 1 and M are constants, then
and we can write
( ) 0lim =∫Γ
→∞
zdzFR
x
y
Γ
R
( ) ( ) ( ) ( ) ( )zFResizdzFzdzFxdxFxdxF
planezUpper
R
R
R
π2lim ==
+= ∫∫∫∫ Γ
+
−
→∞
+∞
∞−
Example: Heaviside Step Function ( )
x
e
i
xF
txi
π2
1
:=
x
y
Γ
R
0>t
x
y
Γ
R
0<t
This function has a single pole at z = 0.
For t > 0 Γ is the semicircle, in the upper part of z plane.
We also include on the path x = - ∞ to x = + ∞ a small
semicircle such that the pole z = 0 is included.
For t < 0 Γ is the semicircle, in the lower part of z plane.
We also include on the path x = - ∞ to x = + ∞ a small
semicircle such that the pole z = 0 is excluded.
<=
>=
=∫
+∞
∞−
00/
01/
2
1
tzeRes
tzeRes
xd
x
e
i tzi
planezLower
tzi
planezUpper
txi
π
Return to the Table of Content
117. 117
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Cauchy’s Principal Value
Cauchy’s Principal value deals with integrals that have singularities along the
integration paths. Start with the following:
Theorem 1:
If f (z) is analytic on and inside a positive-sensed circle C of radius ε, centered at
z = z0, then ( ) ( )0
0
0
lim zfi
zz
zdzf
C
ψ
ψ
ε
=
−∫→
where Cψ is every arc on C of angle ψ.
Proof:
Since f (z) is analytic inside and on C we can use
the Taylor series expansion to write
( ) ( )
( )
( ) ( )∑
∞
=
−+=
1
0
0
0
!n
n
n
zz
n
zf
zfzf
( )
( )
( )
( )
( )
( ) ( )
( )
zg
n
n
n
zz
n
zf
zz
zf
zz
zf
∑
∞
=
−
−+
−
=
− 1
1
0
0
0
0
0 !
Consider the integral on Cψ defined by z=z0 + ε e iθ
θ0 ≤ θ ≤ θ0 + ψ
C
x
y ψC
0
z
0
θ
0
θψ +
ψ
ε
O
118. 118
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Cauchy’s Principal Value (continue – 1)
Proof (continue – 1):
Since g (z) is bounded inside and on C , there is a positive number M such that
|g (z)| < M for all z such that |z – z0| < ε
( ) ( ) ( )∫∫∫ +
−
=
− ψψψ CCC
zdzg
zz
zdzf
zz
zdzf
0
0
0
( ) ( ) ( ) ( )00
0
0
0
0
0
0
0
zfidizf
zz
zd
zf
zz
zdzf
i
ezz
CC
ψθ
ψθ
θ
ε θ
ψψ
==
−
=
− ∫∫∫
+
+=
( ) ( ) ( )εψ
ψψ
MLMzdzgzdzg
CC
=<≤ ∫∫ Where L = ψ ε is the length of Cψ.
( ) ( ) ( ) 0lim0limlim
000
=⇒=≤ ∫∫ →→→
ψψ
εεε
εψ
CC
zdzgMzdzg
( ) ( ) ( ) ( ) 0lim0limlimlim0 0000
=⇒=≤≤−= ∫∫∫∫ →→→→
ψψψψ
εεεε
CCCC
zdzgzdzgzdzgzdzg
Therefore ( ) ( )0
0
0
lim zfi
zz
zdzf
C
ψ
ψ
ε
=
−∫→
q.e.d.
Note: For ψ = 2 π we recover the Cauchy’s Integral result.
C
x
y ψC
0
z
0
θ
0θψ +
ψ
ε
O
119. 119
SOLO Complex Variables
The Residue Theorem, Evaluations of Integral and Series
Evaluation of Integrals
Cauchy’s Principal Value (continue – 2)
Theorem 2:
If F (z) is analytic on and inside a positive-sensed circle C of radius ε, except at the
center of C, z = z0, that is a simple pole of F (z), then
C
x
y ψC
0
z
0
θ
0
θψ +
ψ
ε
O
( ) ( )[ ]0
0
lim zFResizdzF
C
ψ
ψ
ε
=∫→
where Cψ is every arc on C of angle ψ.
Proof:
Since f (z) is analytic inside and on C by using Theorem 1 we obtain the
desired result.
The function:
( )
( ) ( )
( )[ ] ( ) ( )[ ]
=−=
≠−
=
→
000
00
0
lim zzzFzzzFRes
zzzFzz
zf
zz
Sokolnikoff, I.S., Redheffer, R.M., “Mathematics of Physics and Modern Engineering”, 2nd Ed., McGraw Hill, Kõgakusha, 1966, pp.370 – 378, 404-406
Sokolnikoff, I.S., Redheffer, R.M., “Mathematics of Physics and Modern Engineering”, 2nd Ed., McGraw Hill, Kõgakusha, 1966, pp.370 – 378, 404-406
Sokolnikoff, I.S., Redheffer, R.M., “Mathematics of Physics and Modern Engineering”, 2nd Ed., McGraw Hill, Kõgakusha, 1966, pp.370 – 378, 404-406
Sokolnikoff, I.S., Redheffer, R.M., “Mathematics of Physics and Modern Engineering”, 2nd Ed., McGraw Hill, Kõgakusha, 1966, pp.370 – 378, 404-406
Sokolnikoff, I.S., Redheffer, R.M., “Mathematics of Physics and Modern Engineering”, 2nd Ed., McGraw Hill, Kõgakusha, 1966, pp.370 – 378, 404-406
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
http://en.wikipedia.org/wiki/Giacinto_Morera
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Paul Garrett, “Weirstrass and Hadamard Products”, March 17, 2012, http://www.math.umn.edu/~garrett/
http://en.wikipedia.org/wiki/Jensen&apos;s_formula
http://en.wikipedia.org/wiki/Johan_Jensen_(mathematician)
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.176 and 182-183
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.239-240
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.176 and 182-183
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.239-240
A. Angot, “Complements de Mathematiques”
F.B. Hildebrand, “Advanced Calculus for Applications”, 2nd Ed., Prentice Hall, 1976, Ch.10, “Functions of a Complex Variable”, pp.590
F.B. Hildebrand, “Advanced Calculus for Applications”, 2nd Ed., Prentice Hall, 1976, Ch.10, “Functions of a Complex Variable”, pp.590
F.B. Hildebrand, “Advanced Calculus for Applications”, 2nd Ed., Prentice Hall, 1976, Ch.10, “Functions of a Complex Variable”, pp.590
F.B. Hildebrand, “Advanced Calculus for Applications”, 2nd Ed., Prentice Hall, 1976, Ch.10, “Functions of a Complex Variable”, pp.590
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.241-242
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.241-242
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.241-242
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.241-242
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.241-242
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.241-242
A.A. Hauser, “Complex Variables with Physical Applications”, Simon & Schuster Tech Outlines, 1971, pp.231-232
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.174
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.174
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.188-189
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.188-189
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.188-189
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.188-189
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.188-189
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.188-189
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.188-189
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
http://www.math.uchicago.edu/~schlag/complex.pdf
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
E.C. Titchmarsh, “The Theory of Functions”, Oxford University Press, 2nd Ed., 1939
E.C. Titchmarsh, “The Theory of Functions”, Oxford University Press, 2nd Ed., 1939
E.C. Titchmarsh, “The Theory of Functions”, Oxford University Press, 2nd Ed., 1939
E.C. Titchmarsh, “The Theory of Functions”, Oxford University Press, 2nd Ed., 1939
http://www.math.umn.edu/~garrett/m/complex/hadamard_products.pdf
Levent Alpoge, “The Weirstrass Product and its Consequences for ζ», February 20, 2012
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Levent Alpoge, “The Weierstrass Product and its Consequence for ζ», February 20, 2012
Walter Rudin, “Real and Complex Analysis”, 2nd Ed., McGraw Hill,1974
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
C. McMullen, “Complex Analysis Notes”, Math 213a – Harvard University
Marco M. Peloso, “Complex Analysis”, January 21, 2011, University of Milano
C. McMullen, “Complex Analysis Notes”, Math 213a – Harvard University
E.C. Titchmarsh, “The Theory of Functions”, Oxford University Press, 2nd Ed., 1939
E.C. Titchmarsh, “The Theory of Functions”, Oxford University Press, 2nd Ed., 1939
E.C. Titchmarsh, “The Theory of Functions”, Oxford University Press, 2nd Ed., 1939
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.201-202
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.191-192
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.204-213
Spiegel, M.R., “Complex Variables with an introduction to Conformal Mapping and its applications”, Schaum’s Outline Series, McGraw-Hill, 1964, pp.204-213
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the FaCTORIZATION Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the FaCTORIZATION Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
http://en.wikipedia.org/wiki/Gamma_function
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
K. Chandrasekharan, “Lectures on The Riemann Zeta-Function”, Tata Institute of Fundamental Research, Bombay, 1953
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
J. Baltzersen, “Hardy’s Theorem and the prime number theorem”, Thesis University of Copenhagen, June 2007
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
D. Miličić, “Notes on Riemann Zeta Function”, http://www.math.utah.edu/~milicic/zeta.pdf
P. Garrett, “Riemann’ Explicit/Exact formula”, (October 2, 2010), http://www.math.umn.edu/~garrett/m/mfms/notes_c/mfms_notes_02.pdf
David Borthwick, “Riemann’s Zeros and the Rhythm of the Primes”, Emory University, November 18, 2009
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
B.E. Peterson, “Riemann Zeta Function”, http://people.oregonstate.edu/~peterseb/misc/docs/zeta.pdf
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the FaCTORIZATION Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
K. Chandrasekharan, “ Lectures on the Riemann Zeta-Function”, Tata Institute of Fundamental Research, Bombay, 1953, http://www.math.tifr.res.in/~publ/ln/tfr01.pdf
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
K. Chandrasekharan, “ Lectures on the Riemann Zeta-Function”, Tata Institute of Fundamental Research, Bombay, 1953, http://www.math.tifr.res.in/~publ/ln/tfr01.pdf
B.E. Peterson, “Riemann Zeta Funcyion”, http://people.oregonstate,edu/~peterseb/misc/docs/zeta.pdf
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
K. Chandrasekharan, “ Lectures on the Riemann Zeta-Function”, Tata Institute of Fundamental Research, Bombay, 1953, http://www.math.tifr.res.in/~publ/ln/tfr01.pdf
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
K. Chandrasekharan, “ Lectures on the Riemann Zeta-Function”, Tata Institute of Fundamental Research, Bombay, 1953, http://www.math.tifr.res.in/~publ/ln/tfr01.pdf
K
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
K. Chandrasekharan, “ Lectures on the Riemann Zeta-Function”, Tata Institute of Fundamental Research, Bombay, 1953, http://www.math.tifr.res.in/~publ/ln/tfr01.pdf
K
H.Vic Dannon,”Riemann Zeta Function: The Riemann Hypothesis Origin, the Factorization Error, and the Count of the Primes”, Gauge Institute Journal, Vol. 5, No. 4, November 2009
B.E. Peterson, “Riemann Zeta Funcyion”, http://people.oregonstate,edu/~peterseb/misc/docs/zeta.pdf
http://en.wikipedia.org/wiki/Mellin_transform
http://en.wikipedia.org/wiki/Mellin_transform
http://en.wikipedia.org/wiki/Mellin_transform
http://en.wikipedia.org/wiki/Mellin_transform
Poularikas, A.,D., Ed., “The Transforms and Applications Handbook”, IEEE Press, CRC Press, 1996, pp. 385-386
Poularikas, A.,D., Ed., “The Transforms and Applications Handbook”, IEEE Press, CRC Press, 1996, pp. 385-386
Poularikas, A.,D., Ed., “The Transforms and Applications Handbook”, IEEE Press, CRC Press, 1996, pp. 385-386
Poularikas, A.,D., Ed., “The Transforms and Applications Handbook”, IEEE Press, CRC Press, 1996, pp. 450-451
Poularikas, A.,D., Ed., “The Transforms and Applications Handbook”, IEEE Press, CRC Press, 1996, pp. 450-451
Poularikas, A.,D., Ed., “The Transforms and Applications Handbook”, IEEE Press, CRC Press, 1996, pp. 450-451
http://en.wikipedia.org/wiki/Mellin_transform
http://en.wikipedia.org/wiki/Mellin_transform
http://en.wikipedia.org/wiki/Mellin_transform
http://en.wikipedia.org/wiki/Mellin_transform
A.I. Borisenko & I.E. Tarapov, “Vector and Tensor Analysis with Applications”, 1968, Dover, pp.223-226
A.I. Borisenko & I.E. Tarapov, “Vector and Tensor Analysis with Applications”, 1968, Dover, pp.223-226
A.I. Borisenko & I.E. Tarapov, “Vector and Tensor Analysis with Applications”, 1968, Dover, pp.223-226
A.I. Borisenko & I.E. Tarapov, “Vector and Tensor Analysis with Applications”, 1968, Dover, pp.223-226
A.I. Borisenko & I.E. Tarapov, “Vector and Tensor Analysis with Applications”, 1968, Dover, pp.223-226
A.I. Borisenko & I.E. Tarapov, “Vector and Tensor Analysis with Applications”, 1968, Dover, pp.223-226