SlideShare a Scribd company logo
ENGINEERING MATHAMATICS 1
Dr. Ir. Arman Djohan Diponegoro
5th August 2013
ENGINEERING MATHEMATICS 1
 Class : Engineering Mathematics 1 – 02
 Code : ENEE 600006
 Credits : 3 SKS
 Lecturer : Dr. Ir. Arman Djohan Diponegoro, M.Sc
 Assistant : Adhitya Satria Pratama
 Schedule : Thursday, 13.00-15.30
 Venue : GK. 301
 References :
1. Kreyszig, Erwin. 2011. Advanced Engineering Mathematics, 10th edition. John
Wiley and Sons Inc.
Other relevant and related references are welcomed
GENERAL TOPICS ON
ENGINEERING MATHEMATICS 1
 Complex Variables
 Vector Analysis
GRADING
 Exercises and Quizzes : 80 %
 Mid Test : 10 %
 Final Test : 10 %
SCHEDULE
SUN MON TUE WED THU FRI SAT
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30
SUN MON TUE WED THU FRI SAT
1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31
SUN MON TUE WED THU FRI SAT
1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
SUN MON TUE WED THU FRI SAT
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 31
September 2013 October 2013
November 2013 December 2013
MIDTERM
TEST
FINAL TEST
COMPLEX NUMBERS
COMPLEX NUMBERS
 In the early days of modern mathematics, people were puzzled by equations like
this one:
 The equation looks simple enough, but in the sixteenth century people had no idea
how to solve it. This is because to the common-sense mind the solution seems to
be without meaning:
 For this reason, mathematicians dubbed an imaginary number. We
abbreviate this by writing “i” in its place, that is:
1
COMPLEX NUMBERS
DEFINITION
A complex number z is a number of the form
where
x is the real part and y the imaginary part, written as x = Re z, y = Im z.
i is called the imaginary unit
If x = 0, then z = iy is a pure imaginary number.
The complex conjugate of a complex number, z = x + iy, denoted by z* , is given by
z* = x – iy.
Two complex numbers are equal if and only if their real parts are equal and their
imaginary parts are equal.
1i
iyx 
DEFINITION
A complex number z is a number of the form
where
x is the real part and y the imaginary part, written as x = Re z, y = Im z.
i is called the imaginary unit
If x = 0, then z = iy is a pure imaginary number.
The complex conjugate of a complex number, z = x + iy, denoted by z* , is given by
z* = x – iy.
Two complex numbers are equal if and only if their real parts are equal and their
imaginary parts are equal.
1iiyx 
COMPLEX PLANE
 A complex number can be plotted on a plane with two perpendicular coordinate
axes
The horizontal x-axis, called the real axis
The vertical y-axis, called the imaginary axis
P
z = x + iy
x
y
O
Represent z = x + jy geometrically
as the point P(x,y) in the x-y plane,
or as the vector from the
origin to P(x,y).
OP
The complex plane
x-y plane is also known as
the complex plane.
POLAR COORDINATES
siny r With cos ,x r 
z takes the polar form:
r is called the absolute value or modulus or
magnitude of z and is denoted by |z|.
*22
zzyxrz 
22
*
))((
yx
jyxjyxzz

Note that :
)sin(cos  jrz 
TRIGONOMETRIC FORM FOR
COMPLEX NUMBERS
 We modify the familiar coordinate system by calling the horizontal axis the real
axis and the vertical axis the imaginary axis.
 Each complex number a + bi determines a unique position vector with initial point
(0, 0) and terminal point (a, b).
RELATIONSHIPS AMONG X, Y,
R, AND 

x  rcos
y  rsin
r  x2
 y2
tan 
y
x
, if x  0
TRIGONOMETRIC (POLAR) FORM
OF A COMPLEX NUMBER
 The expression
is called the trigonometric form or (polar form) of the complex number x + yi.
The expression cos  + i sin  is sometimes abbreviated cis .
Using this notation
(cos sin )r i 
(cos sin ) is written cis .r i r  
COMPLEX PLANE
Complex plane, polar form of a complex number






 
x
y1
tan
P
z = x + iy
x
y
O
Im
Re
|z| =
r
θ
Geometrically, |z| is the distance of the
point z from the origin while θ is the
directed angle from the positive x-axis to
OP in the above figure.
From the figure,
COMPLEX NUMBERS
 θ is called the argument of z and is denoted by arg z. Thus,
For z = 0, θ is undefined.
 A complex number z ≠ 0 has infinitely many possible arguments, each one
differing from the rest by some multiple of 2π. In fact, arg z is actually
 The value of θ that lies in the interval (-π, π] is called the principle
argument of z (≠ 0) and is denoted by Arg z.
0tanarg 1






 
z
x
y
z
,...2,1,0,2tan 1






 
nn
x
y

EULER FORMULA – AN
ALTERNATE POLAR FORM
The polar form of a complex number can be rewritten as :
This leads to the complex exponential function :


j
re
jyxjrz

 )sin(cos
 
 



jj
jj
ee
j
ee




2
1
sin
2
1
cos
Further leads to :
 yjye
eeee
x
jyxjyxz
sincos 
 
EULER FORMULA
 Remember the well-known Taylor Expansions :
EULER FORMULA
 So, we can conlude that :
GRAPHIC REPRESENTATION
A complex number, z = 1 + j , has a magnitude
EXAMPLE
4
2
4
sin
4
cos2

 j
ejz 






2)11(|| 22
z
rad2
4
2
1
1
tan 1












 


 nnzand argument :
Hence its principal argument is : Arg / 4z  rad
Hence in polar form :
A complex number, z = 1 - j , has a magnitude
2)11(|| 22
z
rad2
4
2
1
1
tan 1











 
 


 nnzand argument :
Hence its principal argument is : rad
Hence in polar form :
In what way does the polar form help in manipulating complex numbers?
4

zArg








4
sin
4
cos22 4

jez
j
EXAMPLE
What about z1=0+j, z2=0-j, z3=2+j0, z4=-2?


5.01
1
10
5.0
1



j
e
jz


5.01
1
10
5.0
2



 j
e
jz
02
2
02
0
3



j
e
jz






2
2
024
j
e
jz
EXAMPLE
●
●
●
Im
Re
z1 = + j
z2 = - j
z3 = 2z4 = -2
●
5.0
EXAMPLE (CONTINUED)
EXAMPLE
 Express 2(cos 120 + i sin 120) in rectangular form.

 Notice that the real part is negative and the imaginary part is positive,
this is consistent with 120 degrees being a quadrant II angle.
1
cos120
2
 
3
sin120
2

1 3
2(cos120 sin120 ) 2 ,
2 2
1 3
i i
i
 
   
 
  
CONVERTING FROM RECTANGULAR
FORM TO TRIGONOMETRIC FORM
 Step 1 Sketch a graph of the number x + yi in the complex plane.
 Step 2 Find r by using the equation
 Step 3 Find  by using the equation
choosing the quadrant indicated in Step 1.
2 2
.r x y 
tan , 0y
x
x  
ADDITION AND SUBTRACTION
OF COMPLEX NUMBERS
 For complex numbers a + bi and c + di,
 Examples

( ) ( ) ( ) ( )
( ) ( ) ( ) ( )
a bi c di a c b d i
a bi c di a c b d i
      
      
(10  4i)  (5  2i)
= (10  5) + [4  (2)]i
= 5  2i
(4  6i) + (3 + 7i)
= [4 + (3)] + [6 + 7]i
= 1 + i
MULTIPLICATION OF
COMPLEX NUMBERS
 For complex numbers a + bi and c + di,
 The product of two complex numbers is found by multiplying as if the numbers
were binomials and using the fact that i2 = 1.
(a  bi)(c di)  (ac bd)(ad  bc)i.
EXAMPLES: MULTIPLYING
 (2  4i)(3 + 5i) (7 + 3i)2
2
2(3) 2(5 ) 4 (3) 4 (5 )
6 10 12 20
6 2 20( 1)
26 2
i i i i
i i i
i
i
   
   
   
 
2 2
2
7 2(7)(3 ) (3 )
49 42 9
49 42 9( 1)
40 42
i i
i i
i
i
  
  
   
 
ARITHMETIC OPERATIONS IN POLAR
FORM
 The representation of z by its real and imaginary parts is useful
for addition and subtraction.
 For multiplication and division, representation by the polar form
has apparent geometric meaning.
Suppose we have 2 complex numbers, z1 and z2 given by :
2
1
2222
1111


j
j
erjyxz
erjyxz



   
   2121
221121
yyjxx
jyxjyxzz


  
))((
21
2121
21
21






j
jj
err
ererzz
Easier with normal
form than polar form
Easier with polar form
than normal form
magnitudes multiply! phases add!
For a complex number z2 ≠ 0,
)(
2
1))((
2
1
2
1
2
1 2121
2
1




 jj
j
j
e
r
r
e
r
r
er
er
z
z
magnitudes divide!
phases subtract!
2
1
2
1
r
r
z
z
 2121 )(  z
EXERCISES
 Let z = x + iy and w = u + iv be two complex variables. Prove that :


 Prove that :
COMPLEX ANALYSIS
 In the early days, all of this probably seemed like a neat little trick that could be
used to solve obscure equations, and not much more than that.
 It turns out that an entire branch of analysis called complex analysis can be
constructed, which really supersedes real analysis.
 For example, we can use complex numbers to describe the behavior of the
electromagnetic field.
 Complex numbers are often hidden. For example, as we’ll see later, the
trigonometric functions can be written down in surprising ways like:
AXIOMS SATISFIED BY THE COMPLEX
NUMBERS SYSTEM
 These axioms should be
familiar since their general
statement is similar to that
used for the reals.
 We suppose that u, w, z are
three complex numbers,
that is, u, w, z ∈ C, then
these axioms follow:
AXIOMS SATISFIED BY THE
COMPLEX NUMBERS SYSTEM
DE MOIVRE’S THEOREM
DE MOIVRE’S THEOREM
 De Moivre’s theorem is about the powers of complex numbers and a relationship
that exists to make simplifying a complex number, raised to a power, easier.
 The resulting relationship is very useful for proving the trigonometric identities
and finding roots of a complex number.
Slide 8-40
DE MOIVRE’S THEOREM
 If is a complex number, and if n is any real number,
then
 In compact form, this is written
 1 1 1cos sinr i  
   1 1cos sin cos sin .
n n
r i r n i n       
   cis cis .
n n
r r n 
Slide 8-41
EXAMPLE: FIND (1  I)5 AND EXPRESS THE
RESULT IN RECTANGULAR FORM.
 First, find trigonometric notation for 1  i
 Theorem
 1 2 cos225 sin225i i   
   
 
 
55
5
2 5 225 5 2
1 2 cos225 sin225
cos( ) sin( )
4 2 cos1125 sin1125
2 2
4 2
2 2
25
4 4
i i
i
i
i
i
     
     
 
 
  
 
 
Slide 8-42
NTH ROOTS
 For a positive integer n, the complex number a + bi is an nth root of the complex
number x + yi if
  .
n
a bi x yi  
Slide 8-43
NTH ROOT THEOREM
 If n is any positive integer, r is a positive real number, and  is in degrees, then the
nonzero complex number r(cos  + i sin ) has exactly n distinct nth roots, given
by
 where
 cos sin or cis ,n n
r i r  
360 360
or = , 0,1,2,..., 1.
k k
k n
n n n
 
 
  
   
Slide 8-44
EXAMPLE: SQUARE ROOTS
 Find the square roots of
 Trigonometric notation:
 For k = 0, root is
 For k = 1, root is
1 3 i
1 3 i  2 cos60 isin60 
2 cos60 isin60 



1
2
 2
1
2
cos
60
2
 k 
360
2



  isin
60
2
 k 
360
2










 2 cos 30 k 180  isin 30 k 180 



2 cos30 isin30 
2 cos210 isin210 
Slide 8-45
EXAMPLE: FOURTH ROOT
 Find all fourth roots of Write the roots in rectangular form.
 Write in trigonometric form.
 Here r = 16 and  = 120. The fourth roots of this number have absolute value
8 8 3.i 
8 8 3 16 cis 120i  
4
16 2.
120 360
30 90
4 4
k
k


    
Slide 8-46
EXAMPLE: FOURTH ROOT
CONTINUED
 There are four fourth roots, let k = 0, 1, 2 and 3.
 Using these angles, the fourth roots are
0 30 90 30
1 30 90 120
2 30 90 210
3 30 90
0
1
2
3 300
k
k
k
k




    
    
    
    
2 cis 30 , 2 cis 120 , 2 cis 210 , 2 cis 300
EXAMPLE: FOURTH ROOT
CONTINUED
Written in rectangular form
The graphs of the roots are all on a
circle that has center at the origin and
radius 2.
Slide 8-47
3
1 3
3
1 3
i
i
i
i

 
 

HOMEWORK
1.
2.
3. Find the fourth roots of 2.
Please do the homework on a paper. This exercise should be submitted on Thursday,
August 12th 2013 before the class begins.
NEXT AGENDA
 Limit, Functions, and Continuity of Complex Variables.

More Related Content

What's hot

1 complex numbers
1 complex numbers 1 complex numbers
1 complex numbers gandhinagar
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equationsaman1894
 
Complex numbers org.ppt
Complex numbers org.pptComplex numbers org.ppt
Complex numbers org.pptOsama Tahir
 
Complex function
Complex functionComplex function
Complex functionShrey Patel
 
mathematical induction
mathematical inductionmathematical induction
mathematical inductionankush_kumar
 
Complex Numbers
Complex NumbersComplex Numbers
Complex Numbersitutor
 
First order linear differential equation
First order linear differential equationFirst order linear differential equation
First order linear differential equationNofal Umair
 
Exponential and logarithmic functions
Exponential and logarithmic functionsExponential and logarithmic functions
Exponential and logarithmic functionsNjabulo Nkabinde
 
Numerical integration
Numerical integrationNumerical integration
Numerical integrationSunny Chauhan
 
Simpson’s one third and weddle's rule
Simpson’s one third and weddle's ruleSimpson’s one third and weddle's rule
Simpson’s one third and weddle's rulezahid6
 

What's hot (20)

1 complex numbers
1 complex numbers 1 complex numbers
1 complex numbers
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equations
 
Riemann sumsdefiniteintegrals
Riemann sumsdefiniteintegralsRiemann sumsdefiniteintegrals
Riemann sumsdefiniteintegrals
 
Complex numbers org.ppt
Complex numbers org.pptComplex numbers org.ppt
Complex numbers org.ppt
 
Complex function
Complex functionComplex function
Complex function
 
Complex integration
Complex integrationComplex integration
Complex integration
 
Complex number
Complex numberComplex number
Complex number
 
Power series
Power series Power series
Power series
 
Directional derivative and gradient
Directional derivative and gradientDirectional derivative and gradient
Directional derivative and gradient
 
Complex function
Complex functionComplex function
Complex function
 
Fourier series
Fourier series Fourier series
Fourier series
 
mathematical induction
mathematical inductionmathematical induction
mathematical induction
 
Complex Numbers
Complex NumbersComplex Numbers
Complex Numbers
 
First order linear differential equation
First order linear differential equationFirst order linear differential equation
First order linear differential equation
 
Gamma function
Gamma functionGamma function
Gamma function
 
Complex number
Complex numberComplex number
Complex number
 
Exponential and logarithmic functions
Exponential and logarithmic functionsExponential and logarithmic functions
Exponential and logarithmic functions
 
topology definitions
 topology definitions topology definitions
topology definitions
 
Numerical integration
Numerical integrationNumerical integration
Numerical integration
 
Simpson’s one third and weddle's rule
Simpson’s one third and weddle's ruleSimpson’s one third and weddle's rule
Simpson’s one third and weddle's rule
 

Viewers also liked

The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)Oka Danil
 
Representation of complex number
Representation of complex numberRepresentation of complex number
Representation of complex numberAshraful Tauhid
 
Fourier Series for Continuous Time & Discrete Time Signals
Fourier Series for Continuous Time & Discrete Time SignalsFourier Series for Continuous Time & Discrete Time Signals
Fourier Series for Continuous Time & Discrete Time SignalsJayanshu Gundaniya
 
Fast Fourier Transform
Fast Fourier TransformFast Fourier Transform
Fast Fourier Transformop205
 

Viewers also liked (6)

The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)
 
Representation of complex number
Representation of complex numberRepresentation of complex number
Representation of complex number
 
Fft
FftFft
Fft
 
Properties of Fourier transform
Properties of Fourier transformProperties of Fourier transform
Properties of Fourier transform
 
Fourier Series for Continuous Time & Discrete Time Signals
Fourier Series for Continuous Time & Discrete Time SignalsFourier Series for Continuous Time & Discrete Time Signals
Fourier Series for Continuous Time & Discrete Time Signals
 
Fast Fourier Transform
Fast Fourier TransformFast Fourier Transform
Fast Fourier Transform
 

Similar to 1. introduction to complex numbers

Math20001 dec 2015
Math20001 dec 2015Math20001 dec 2015
Math20001 dec 2015Atef Alnazer
 
1 complex numbers part 1 of 3
1 complex numbers part 1 of 31 complex numbers part 1 of 3
1 complex numbers part 1 of 3naveenkumar9211
 
Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]
Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]
Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]Ghins GO
 
Theme 4 Notes Complex Numbers (1).pdf
Theme 4 Notes Complex Numbers (1).pdfTheme 4 Notes Complex Numbers (1).pdf
Theme 4 Notes Complex Numbers (1).pdfThapeloTsepo1
 
complex numbers and functions.PDF
complex numbers and functions.PDFcomplex numbers and functions.PDF
complex numbers and functions.PDFAlelignAsfaw
 
Polya recurrence
Polya recurrencePolya recurrence
Polya recurrenceBrian Burns
 
complex numbers 1
complex numbers 1complex numbers 1
complex numbers 1youmarks
 
μ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACE
μ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACEμ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACE
μ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACEtheijes
 
Mathematics and History of Complex Variables
Mathematics and History of Complex VariablesMathematics and History of Complex Variables
Mathematics and History of Complex VariablesSolo Hermelin
 
Complex Numbers
Complex NumbersComplex Numbers
Complex NumbersArun Umrao
 
Nbhm m. a. and m.sc. scholarship test 2007
Nbhm m. a. and m.sc. scholarship test 2007 Nbhm m. a. and m.sc. scholarship test 2007
Nbhm m. a. and m.sc. scholarship test 2007 MD Kutubuddin Sardar
 
3D Coordinate Geometry
3D Coordinate Geometry 3D Coordinate Geometry
3D Coordinate Geometry ParasKulhari
 
Dynamical systems solved ex
Dynamical systems solved exDynamical systems solved ex
Dynamical systems solved exMaths Tutoring
 
Lesson 1 imaginary and complex numbers p1 8
Lesson 1 imaginary and complex numbers p1 8Lesson 1 imaginary and complex numbers p1 8
Lesson 1 imaginary and complex numbers p1 8jenniech
 
2 complex numbers part 2 of 3
2 complex numbers part 2 of 32 complex numbers part 2 of 3
2 complex numbers part 2 of 3naveenkumar9211
 
Adv math[unit 1]
Adv math[unit 1]Adv math[unit 1]
Adv math[unit 1]Nald Torres
 
An introdcution to complex numbers jcw
An introdcution to complex numbers jcwAn introdcution to complex numbers jcw
An introdcution to complex numbers jcwjenniech
 

Similar to 1. introduction to complex numbers (20)

Math20001 dec 2015
Math20001 dec 2015Math20001 dec 2015
Math20001 dec 2015
 
1 complex numbers part 1 of 3
1 complex numbers part 1 of 31 complex numbers part 1 of 3
1 complex numbers part 1 of 3
 
Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]
Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]
Aplikasi Bilangan Kompleks - Analisis Sinyal [PAPER]
 
Theme 4 Notes Complex Numbers (1).pdf
Theme 4 Notes Complex Numbers (1).pdfTheme 4 Notes Complex Numbers (1).pdf
Theme 4 Notes Complex Numbers (1).pdf
 
1 ca nall
1 ca nall1 ca nall
1 ca nall
 
complex numbers and functions.PDF
complex numbers and functions.PDFcomplex numbers and functions.PDF
complex numbers and functions.PDF
 
Polya recurrence
Polya recurrencePolya recurrence
Polya recurrence
 
complex numbers 1
complex numbers 1complex numbers 1
complex numbers 1
 
μ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACE
μ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACEμ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACE
μ-RANGE, λ-RANGE OF OPERATORS ON A HILBERT SPACE
 
Mathematics and History of Complex Variables
Mathematics and History of Complex VariablesMathematics and History of Complex Variables
Mathematics and History of Complex Variables
 
Complex Numbers
Complex NumbersComplex Numbers
Complex Numbers
 
Maths digital text
Maths digital textMaths digital text
Maths digital text
 
Nbhm m. a. and m.sc. scholarship test 2007
Nbhm m. a. and m.sc. scholarship test 2007 Nbhm m. a. and m.sc. scholarship test 2007
Nbhm m. a. and m.sc. scholarship test 2007
 
3D Coordinate Geometry
3D Coordinate Geometry 3D Coordinate Geometry
3D Coordinate Geometry
 
Dynamical systems solved ex
Dynamical systems solved exDynamical systems solved ex
Dynamical systems solved ex
 
Lesson 1 imaginary and complex numbers p1 8
Lesson 1 imaginary and complex numbers p1 8Lesson 1 imaginary and complex numbers p1 8
Lesson 1 imaginary and complex numbers p1 8
 
2 complex numbers part 2 of 3
2 complex numbers part 2 of 32 complex numbers part 2 of 3
2 complex numbers part 2 of 3
 
Complex Integral
Complex IntegralComplex Integral
Complex Integral
 
Adv math[unit 1]
Adv math[unit 1]Adv math[unit 1]
Adv math[unit 1]
 
An introdcution to complex numbers jcw
An introdcution to complex numbers jcwAn introdcution to complex numbers jcw
An introdcution to complex numbers jcw
 

Recently uploaded

CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
 
Antenna efficency lecture course chapter 3.pdf
Antenna  efficency lecture course chapter 3.pdfAntenna  efficency lecture course chapter 3.pdf
Antenna efficency lecture course chapter 3.pdfAbrahamGadissa
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfAbrahamGadissa
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdfPratik Pawar
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdfKamal Acharya
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfPipe Restoration Solutions
 
shape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptxshape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptxVishalDeshpande27
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdfKamal Acharya
 
Toll tax management system project report..pdf
Toll tax management system project report..pdfToll tax management system project report..pdf
Toll tax management system project report..pdfKamal Acharya
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Krakówbim.edu.pl
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
 
A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfKamal Acharya
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopEmre Günaydın
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationRobbie Edward Sayers
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdfKamal Acharya
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industriesMuhammadTufail242431
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdfKamal Acharya
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234AafreenAbuthahir2
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwoodseandesed
 
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfA CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfKamal Acharya
 

Recently uploaded (20)

CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
Antenna efficency lecture course chapter 3.pdf
Antenna  efficency lecture course chapter 3.pdfAntenna  efficency lecture course chapter 3.pdf
Antenna efficency lecture course chapter 3.pdf
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
 
shape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptxshape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptx
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdf
 
Toll tax management system project report..pdf
Toll tax management system project report..pdfToll tax management system project report..pdf
Toll tax management system project report..pdf
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Kraków
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdf
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering Workshop
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Halogenation process of chemical process industries
Halogenation process of chemical process industriesHalogenation process of chemical process industries
Halogenation process of chemical process industries
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfA CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
 

1. introduction to complex numbers

  • 1. ENGINEERING MATHAMATICS 1 Dr. Ir. Arman Djohan Diponegoro 5th August 2013
  • 2. ENGINEERING MATHEMATICS 1  Class : Engineering Mathematics 1 – 02  Code : ENEE 600006  Credits : 3 SKS  Lecturer : Dr. Ir. Arman Djohan Diponegoro, M.Sc  Assistant : Adhitya Satria Pratama  Schedule : Thursday, 13.00-15.30  Venue : GK. 301  References : 1. Kreyszig, Erwin. 2011. Advanced Engineering Mathematics, 10th edition. John Wiley and Sons Inc. Other relevant and related references are welcomed
  • 3. GENERAL TOPICS ON ENGINEERING MATHEMATICS 1  Complex Variables  Vector Analysis
  • 4. GRADING  Exercises and Quizzes : 80 %  Mid Test : 10 %  Final Test : 10 %
  • 5. SCHEDULE SUN MON TUE WED THU FRI SAT 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 SUN MON TUE WED THU FRI SAT 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 SUN MON TUE WED THU FRI SAT 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 SUN MON TUE WED THU FRI SAT 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 September 2013 October 2013 November 2013 December 2013 MIDTERM TEST FINAL TEST
  • 7. COMPLEX NUMBERS  In the early days of modern mathematics, people were puzzled by equations like this one:  The equation looks simple enough, but in the sixteenth century people had no idea how to solve it. This is because to the common-sense mind the solution seems to be without meaning:  For this reason, mathematicians dubbed an imaginary number. We abbreviate this by writing “i” in its place, that is: 1
  • 9. DEFINITION A complex number z is a number of the form where x is the real part and y the imaginary part, written as x = Re z, y = Im z. i is called the imaginary unit If x = 0, then z = iy is a pure imaginary number. The complex conjugate of a complex number, z = x + iy, denoted by z* , is given by z* = x – iy. Two complex numbers are equal if and only if their real parts are equal and their imaginary parts are equal. 1i iyx 
  • 10. DEFINITION A complex number z is a number of the form where x is the real part and y the imaginary part, written as x = Re z, y = Im z. i is called the imaginary unit If x = 0, then z = iy is a pure imaginary number. The complex conjugate of a complex number, z = x + iy, denoted by z* , is given by z* = x – iy. Two complex numbers are equal if and only if their real parts are equal and their imaginary parts are equal. 1iiyx 
  • 11. COMPLEX PLANE  A complex number can be plotted on a plane with two perpendicular coordinate axes The horizontal x-axis, called the real axis The vertical y-axis, called the imaginary axis P z = x + iy x y O Represent z = x + jy geometrically as the point P(x,y) in the x-y plane, or as the vector from the origin to P(x,y). OP The complex plane x-y plane is also known as the complex plane.
  • 12. POLAR COORDINATES siny r With cos ,x r  z takes the polar form: r is called the absolute value or modulus or magnitude of z and is denoted by |z|. *22 zzyxrz  22 * ))(( yx jyxjyxzz  Note that : )sin(cos  jrz 
  • 13. TRIGONOMETRIC FORM FOR COMPLEX NUMBERS  We modify the familiar coordinate system by calling the horizontal axis the real axis and the vertical axis the imaginary axis.  Each complex number a + bi determines a unique position vector with initial point (0, 0) and terminal point (a, b).
  • 14. RELATIONSHIPS AMONG X, Y, R, AND   x  rcos y  rsin r  x2  y2 tan  y x , if x  0
  • 15. TRIGONOMETRIC (POLAR) FORM OF A COMPLEX NUMBER  The expression is called the trigonometric form or (polar form) of the complex number x + yi. The expression cos  + i sin  is sometimes abbreviated cis . Using this notation (cos sin )r i  (cos sin ) is written cis .r i r  
  • 16. COMPLEX PLANE Complex plane, polar form of a complex number         x y1 tan P z = x + iy x y O Im Re |z| = r θ Geometrically, |z| is the distance of the point z from the origin while θ is the directed angle from the positive x-axis to OP in the above figure. From the figure,
  • 17. COMPLEX NUMBERS  θ is called the argument of z and is denoted by arg z. Thus, For z = 0, θ is undefined.  A complex number z ≠ 0 has infinitely many possible arguments, each one differing from the rest by some multiple of 2π. In fact, arg z is actually  The value of θ that lies in the interval (-π, π] is called the principle argument of z (≠ 0) and is denoted by Arg z. 0tanarg 1         z x y z ,...2,1,0,2tan 1         nn x y 
  • 18. EULER FORMULA – AN ALTERNATE POLAR FORM The polar form of a complex number can be rewritten as : This leads to the complex exponential function :   j re jyxjrz   )sin(cos        jj jj ee j ee     2 1 sin 2 1 cos Further leads to :  yjye eeee x jyxjyxz sincos   
  • 19. EULER FORMULA  Remember the well-known Taylor Expansions :
  • 20. EULER FORMULA  So, we can conlude that :
  • 22. A complex number, z = 1 + j , has a magnitude EXAMPLE 4 2 4 sin 4 cos2   j ejz        2)11(|| 22 z rad2 4 2 1 1 tan 1                  nnzand argument : Hence its principal argument is : Arg / 4z  rad Hence in polar form :
  • 23. A complex number, z = 1 - j , has a magnitude 2)11(|| 22 z rad2 4 2 1 1 tan 1                   nnzand argument : Hence its principal argument is : rad Hence in polar form : In what way does the polar form help in manipulating complex numbers? 4  zArg         4 sin 4 cos22 4  jez j EXAMPLE
  • 24. What about z1=0+j, z2=0-j, z3=2+j0, z4=-2?   5.01 1 10 5.0 1    j e jz   5.01 1 10 5.0 2     j e jz 02 2 02 0 3    j e jz       2 2 024 j e jz EXAMPLE
  • 25. ● ● ● Im Re z1 = + j z2 = - j z3 = 2z4 = -2 ● 5.0 EXAMPLE (CONTINUED)
  • 26. EXAMPLE  Express 2(cos 120 + i sin 120) in rectangular form.   Notice that the real part is negative and the imaginary part is positive, this is consistent with 120 degrees being a quadrant II angle. 1 cos120 2   3 sin120 2  1 3 2(cos120 sin120 ) 2 , 2 2 1 3 i i i           
  • 27. CONVERTING FROM RECTANGULAR FORM TO TRIGONOMETRIC FORM  Step 1 Sketch a graph of the number x + yi in the complex plane.  Step 2 Find r by using the equation  Step 3 Find  by using the equation choosing the quadrant indicated in Step 1. 2 2 .r x y  tan , 0y x x  
  • 28. ADDITION AND SUBTRACTION OF COMPLEX NUMBERS  For complex numbers a + bi and c + di,  Examples  ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) a bi c di a c b d i a bi c di a c b d i               (10  4i)  (5  2i) = (10  5) + [4  (2)]i = 5  2i (4  6i) + (3 + 7i) = [4 + (3)] + [6 + 7]i = 1 + i
  • 29. MULTIPLICATION OF COMPLEX NUMBERS  For complex numbers a + bi and c + di,  The product of two complex numbers is found by multiplying as if the numbers were binomials and using the fact that i2 = 1. (a  bi)(c di)  (ac bd)(ad  bc)i.
  • 30. EXAMPLES: MULTIPLYING  (2  4i)(3 + 5i) (7 + 3i)2 2 2(3) 2(5 ) 4 (3) 4 (5 ) 6 10 12 20 6 2 20( 1) 26 2 i i i i i i i i i               2 2 2 7 2(7)(3 ) (3 ) 49 42 9 49 42 9( 1) 40 42 i i i i i i            
  • 31. ARITHMETIC OPERATIONS IN POLAR FORM  The representation of z by its real and imaginary parts is useful for addition and subtraction.  For multiplication and division, representation by the polar form has apparent geometric meaning.
  • 32. Suppose we have 2 complex numbers, z1 and z2 given by : 2 1 2222 1111   j j erjyxz erjyxz           2121 221121 yyjxx jyxjyxzz      ))(( 21 2121 21 21       j jj err ererzz Easier with normal form than polar form Easier with polar form than normal form magnitudes multiply! phases add!
  • 33. For a complex number z2 ≠ 0, )( 2 1))(( 2 1 2 1 2 1 2121 2 1      jj j j e r r e r r er er z z magnitudes divide! phases subtract! 2 1 2 1 r r z z  2121 )(  z
  • 34. EXERCISES  Let z = x + iy and w = u + iv be two complex variables. Prove that :    Prove that :
  • 35. COMPLEX ANALYSIS  In the early days, all of this probably seemed like a neat little trick that could be used to solve obscure equations, and not much more than that.  It turns out that an entire branch of analysis called complex analysis can be constructed, which really supersedes real analysis.  For example, we can use complex numbers to describe the behavior of the electromagnetic field.  Complex numbers are often hidden. For example, as we’ll see later, the trigonometric functions can be written down in surprising ways like:
  • 36. AXIOMS SATISFIED BY THE COMPLEX NUMBERS SYSTEM  These axioms should be familiar since their general statement is similar to that used for the reals.  We suppose that u, w, z are three complex numbers, that is, u, w, z ∈ C, then these axioms follow:
  • 37. AXIOMS SATISFIED BY THE COMPLEX NUMBERS SYSTEM
  • 39. DE MOIVRE’S THEOREM  De Moivre’s theorem is about the powers of complex numbers and a relationship that exists to make simplifying a complex number, raised to a power, easier.  The resulting relationship is very useful for proving the trigonometric identities and finding roots of a complex number.
  • 40. Slide 8-40 DE MOIVRE’S THEOREM  If is a complex number, and if n is any real number, then  In compact form, this is written  1 1 1cos sinr i      1 1cos sin cos sin . n n r i r n i n           cis cis . n n r r n 
  • 41. Slide 8-41 EXAMPLE: FIND (1  I)5 AND EXPRESS THE RESULT IN RECTANGULAR FORM.  First, find trigonometric notation for 1  i  Theorem  1 2 cos225 sin225i i            55 5 2 5 225 5 2 1 2 cos225 sin225 cos( ) sin( ) 4 2 cos1125 sin1125 2 2 4 2 2 2 25 4 4 i i i i i i                       
  • 42. Slide 8-42 NTH ROOTS  For a positive integer n, the complex number a + bi is an nth root of the complex number x + yi if   . n a bi x yi  
  • 43. Slide 8-43 NTH ROOT THEOREM  If n is any positive integer, r is a positive real number, and  is in degrees, then the nonzero complex number r(cos  + i sin ) has exactly n distinct nth roots, given by  where  cos sin or cis ,n n r i r   360 360 or = , 0,1,2,..., 1. k k k n n n n           
  • 44. Slide 8-44 EXAMPLE: SQUARE ROOTS  Find the square roots of  Trigonometric notation:  For k = 0, root is  For k = 1, root is 1 3 i 1 3 i  2 cos60 isin60  2 cos60 isin60     1 2  2 1 2 cos 60 2  k  360 2      isin 60 2  k  360 2            2 cos 30 k 180  isin 30 k 180     2 cos30 isin30  2 cos210 isin210 
  • 45. Slide 8-45 EXAMPLE: FOURTH ROOT  Find all fourth roots of Write the roots in rectangular form.  Write in trigonometric form.  Here r = 16 and  = 120. The fourth roots of this number have absolute value 8 8 3.i  8 8 3 16 cis 120i   4 16 2. 120 360 30 90 4 4 k k       
  • 46. Slide 8-46 EXAMPLE: FOURTH ROOT CONTINUED  There are four fourth roots, let k = 0, 1, 2 and 3.  Using these angles, the fourth roots are 0 30 90 30 1 30 90 120 2 30 90 210 3 30 90 0 1 2 3 300 k k k k                         2 cis 30 , 2 cis 120 , 2 cis 210 , 2 cis 300
  • 47. EXAMPLE: FOURTH ROOT CONTINUED Written in rectangular form The graphs of the roots are all on a circle that has center at the origin and radius 2. Slide 8-47 3 1 3 3 1 3 i i i i      
  • 48. HOMEWORK 1. 2. 3. Find the fourth roots of 2. Please do the homework on a paper. This exercise should be submitted on Thursday, August 12th 2013 before the class begins.
  • 49. NEXT AGENDA  Limit, Functions, and Continuity of Complex Variables.