The Riemann Transform

Size: px
Start display at page:

Download "The Riemann Transform"

Transcription

1 The Riemann Tranform By Armando M. Evangelita Jr. Augut 28, 28 ABSTRACT In hi 859 paper, Bernhard Riemann ued the integral equation f (x ) x dx to develop an explicit formula for etimating the number of prime number le than a given quantity. It i the purpoe of thi preent work to explore ome of the propertie of thi equation.

2 Conider the integral equation given below () F ( ) = f (x ) x dx Formula () i the the integral of f(x) time x for x = to and the reulting function i a function of, ay F() (or the tranform of f(x)). It mut be aume that f(x) i uch that the integral exit (it ha finite value). Example Apply formula () to obtain the tranform of f(x) = e -x. Solution. Subtitute e -x to () F ( ) = e x x dx = Γ ( ) R () <, ine Γ() = e x x dx, R() >, where Γ(S) i the gamma function and R() i the real part of the complex quantity. Unit Step Function (Heaviide Function) The unit tep function or Heaviide function μ(x a) i for x < a, ha a jump ize at x = a (where it i uually conider a undefined), and i for x > a, in a formula: μ ( x a) = { if x < a if x > a a. The tranform of μ(x a) i F () = x μ( x a)dx = x dx = x a a ; here the integration begin at x = a (>) becaue μ(x a) i for x < a. Hence F () = a (a > and > ).

3 Example 2: The Riemann Zeta Function i given by obtain the tranform of n= ζ () = = n= μ ( x n), n =,2,3,4,.... n = R() >, n= n F () = {μ ( x ) + μ (x 2) + μ (x 3) +...}x dx = x + x + x = ( ) = n= n = ζ (), R() >. Example 3: Obtain the tranform of π (x) = μ( x p), where p i a prime number, p = 2, 3, 5, 7, p,. F () = { μ (x p)x dx p } = { μ( x 2) + μ (x 3)+ μ(x 5) + μ (x 7) +... } x dx π ()= ( ) = p p R() >. Dirac Delta Function Conider the function f τ ( x a) = { / τ if a x a+τ otherwie. It integral i I = a+τ τ f τ ( x a)dx = dx =. a We let now let τ become maller and maller and take the limit a τ (τ > ). Thi limit i denoted by δ(x a), that i, δ (x a) = lim f τ ( x a). τ

4 and obtain δ (x a) = { if x = a otherwie and δ (x a)dx =. δ(x a) i called the Dirac delta function or the unit impule function. For a continuou function f(x) one ue the ifting property of δ(x a), f ( x)δ ( x a)dx = f (a). To obtain the tranform of δ(x a), we write and take the tranform f τ ( x a) = τ [ μ( x a) μ (x (a+τ ))] F () = f τ (x a)x dx = [ a (a + τ ) ] = a τ ( + τ a ), a > and R() >. τ Take the limit a τ. By l Hopital rule, the quotient on the right ha the limit /a. Hence, the right ide ha the limit a -( + ). The tranform of δ(x a) define by thi limit i F () = δ (x a)x dx = a (+) a >. Example 4 Obtain the tranform of δ (x n). n= F () = { n= δ (x n)}x dx = n (+) = ζ (+), R()>. n=

5 The Riemann Tranform Many common function like in x, co x, ln x, etc., when applied to formula () don t have finite value. But if the lower limit for () tart at x =, then there are uitable function uch that the integral in () exit. If f(x) i a function defined for all x, it Riemann tranform i the integral of f(x) time x for x = to. It i a function of, ay F(), and i denoted by R(f) ; thu (2) F ( )=R (f )= f (x) x dx. The given function f(x) in (2) i called the invere tranform of F() and i denoted by R - (F); that i, f (x) = R (F ). Example 5 Let f (x) =. Find F(). Solution. From (2) we obtain by integration R(f )= R()= x dx = x = (>). Example 6 Let f (x) = x a, where a i a contant. Find F(). Solution. From (2), R( x a )= x a x dx = a x ( a) = a ( a > ). THEOREM Linearity of the Riemann Tranform The Riemann tranform i a linear operation; that i, for any function f(x) and g(x) whoe tranform exit and any contant a and b the tranform of af(x) + bg(x) exit, and R {af (x) + bg(x)} = af() + bg().

6 Example 7 Find the tranform of coh (alnx) and inh (alnx). Solution. Since coh(a ln x)= 2 (xa + x a ) and inh(aln x)= 2 (xa x a ), we obtain from Example 6 and Theorem, R {coh(aln x)}= 2 (R( xa ) + R( x a )) = 2( a + + a ) = R {inh(aln x)}= 2 (R( xa ) R(x a )) = 2 ( a + a ) = 2 a 2 a 2 a 2. Example 8 Let f (x) = x α i, where i i the imaginary operator (i= ). Find F(). Solution. From Example 6 R( x αi ) = αi = α i + αi + αi = 2 + α 2 + i α 2 + α 2. Example 9 Coine and Sine Derive the formula R {co(α ln x)} = Solution. From Example 8 and Theorem 2 +α 2 and R {in(α ln x)} = α 2 +α 2. x α i = co(α ln x ) + i in(α ln x) R( x αi ) = R(co(α ln x)) + i R(in(α ln x)), thu R {co(α ln x)} = 2 +α 2 and R {in(α ln x)} = α 2 +α 2.

7 THEOREM 2 -Shifting Theorem If f(x) ha the tranform F() (where > k for ome k), then x a f(x) ha the tranform F( a) (where a > k). In formula, or, if we take the invere on both ide R {x a f (x )} = F( a) x a f (x) = R {F ( a)}. PROOF We obtain F( a) by replacing with a in the integral in (), o that F ( a) = x ( a) f ( x)dx = x [ x a f (x )]dx = R {x a f (x)}. Example From Example 9 and the -Shifting theorem one can obtain the Riemann tranform for R {x a co(α ln x )} = a ( a) 2 + α 2 and R{x a in(α ln x)} = α ( a) 2 + α 2. Exitence and Uniquene of Riemann Tranform A function f(x) ha a Riemann tranform if it doe not grow too fat, ay, if for all x and ome contant M and k it atifie (3) f (x ) Mx k. THEOREM 3 Exitence Theorem for Riemann Tranform If f(x) i defined and piecewie continuou on every finite interval on x and atifie (3) for all x and ome contant M and k, then the Riemann tranform R(f) exit for all > k.

8 PROOF Since f(x) i piecewie continuou, x -- f(x) i integrable over any finite interval on the x-axi, R(f ) = f (x )x f (x) x dx M x k x dx = M k. Uniquene. If the Riemann tranform of a given function exit, it i uniquely determined and if two continuou function have the ame tranform, they are completely identical. Tranform of Derivative and Integral THEOREM 4 Riemann Tranform of Derivative The tranform of the firt and econd derivative of f(x) atify (4) R(f ') = (+)F(+) f () (5) R(f '' ) = (+2)(+)F (+2) (+)f () f '() Formula (4) hold if f(x) i continuou for all x and atifie (3) and f (x) i piecewie continuou on every finite interval for x. Formula (5) hold if f and f are continuou for all x and atify (3) and f i piecewie continuou on every finite interval for x. PROOF Uing integration by part on formula (4) R(f ) = f '(x )x dx = [ f ( x)x ] + (+) f (x)x 2 dx = f () + (+)F(+). The proof of (5) now follow by applying integration by part twice on it, that i R(f '') = f ''(x )x dx = [ f '(x )x ] + (+) f '( x)x 2 dx = f '() + (+) [ f (x )x 2 + (+2) f (x)x 3 dx ] = f '() (+)f () + (+2)(+)F(+2).

9 Repeatedly uing integration by part a in the proof of (5) and uing induction, we obtain the following Theorem. THEOREM 5 Riemann Tranform of the Derivative f (n) of Any Order Let f, f,, f (n-) be continuou for all x and atify (2). Furthermore, let f (n) be piecewie continuou on every finite interval for x. Then the tranform of f (n) atifie R(f (n) ) = (+n)(+n ) (+)F (+n) (+n )(+n 2) f () (+n 2)(+n 3) f '() f (n ) (). Example Let f(x) = x 2. Then f() =, f (x) = 2x, f () = 2, f (x) = 2. Obtain R{f}, R{f }, and R{f }. Solution. R {f } = F () = 2, F (+) =, F (+2) =. Hence, by formula (4) and (5), R(f ') = (+) = 2 and R(f '') = (+2)(+) (+) 2 = 2. THEOREM 6 Riemann Tranform of Integral Let F() denote the tranform of a function f(x) which i piecewie continuou for x and atifie formula (3). Then, for >, > k, and x >, (6) R { x } { f (τ )d τ = x F ( ), thu f ( τ )d τ = R } F( ). PROOF Let the integral in (6) be g(x) then g (x) = f(x). Since g() = (the integral from to i zero), R {f (x )} = R{g'( x)} = (+)G(+) g() = (+)G(+) = F(), replace by, ([ ] + )G([ ] + ) = F( ) = G() = F( ). Diviion by and interchange of the left and right ide give the firt formula in (6), from which the econd follow.

10 Example 2 Let f(x) = x. Obtain the tranform of x g(x ) = τ d τ = G(). Solution. F () = R {x } =, F( ) = 2, then G() = ( 2). Differentiation and Integration of Tranform Differentiation of Tranform Given a function f(x), the derivative F () = df/d of the tranform F() = R(f) can be obtained by differentiating F() under the integral ign with repect to. Thu, if F ( ) = f (x ) x dx, then F ' () = ln x f ( x) x dx. Conequently, if R(f) = F(), then R {ln x f (x )} = F ' () and R {F ' ()} = ln x f (x ), where the econd formula i obtained by applying on both ide of the firt formula. In thi way, differentiation of a function correpond to the multiplication of the function by -lnx. Example 3 Obtain the tranform of ln x in(α ln x ) and ln x co(α ln x). Solution. R {ln x in(α ln x )} = d α d { 2 + α } = 2 R {ln x co(α ln x)} = d d { 2 + α } 2 2α ( 2 + α 2 ) 2 = ( 2 + α 2 ) 2 2 ( 2 + α 2 ) 2 = 2 α 2 ( 2 + α 2 ) 2.

11 Integration of Tranform Given a function f(x), and the limit of f(x)/lnx, a x approache from the right, exit, then for > k, R { f ( x) ln } x = F(σ )dσ hence R { F(σ )dσ } = f (x) ln x. In thi way, integration of the tranform of a function f(x) correpond to the diviion of f(x) by lnx. From the definition it follow that F(σ )dσ = [ x σ f (x)dx ]dσ = f (x ) [ x σ dσ ] dx x. Integration of x - σ with repect to σ give x - σ /(-ln x). Hence the integral over σ on the right equal x - /ln x. Therefore, F(σ )dσ = x f ( x) ln x { dx = R f (x) ln x } ( > k ). Example 4: Find the invere tranform of ln ( + α 2 Solution. Denote the given tranform by F(). It derivative i 2 ) ( = ln 2 + α 2 ). 2 Taking the invere tranform, we obtain F '() = d d [ln(2 +α 2 ) ln 2 ] = { R 2 F '() = R 2 +α 2 Hence the invere f(x) of F() i α = 2co(α ln x) 2 = ln x f (x). } f (x) = 2 ( co(α ln x )). ln x

12 Alternatively, if we let G() = α 2 2, then g(x ) = R {G} = 2[ co(α ln x )]. From thi and uing { the integral of tranform we get, R ln 2 + α 2 } R { = G()d 2 } = g(x ) ln x = 2 [ co(α ln x )]. ln x The Riemann Tranform and the Laplace Tranform The Laplace tranform i the integral of f(y) time e -y from y = to where f(y) i defined for all y. It i denoted by L{f}, (7) L{f } = f ( y )e y dy. The Riemann tranform i given below (8) R {f } = f (x ) x dx. Replace x = e y ( or y = lnx) in formula (8) and ince x = to, y = (ln) to (ln). f (x ) x dx = f (e y ) e y y d (e y ) = f ( y) e y dy, which i formula (7). The Bilateral Laplace Tranform Formula (7) i uually called the Unilateral Laplace tranform ince the integral i evaluated from to. The integral below i known a the Bilateral Laplace tranform becaue the integral i taken from - to, (9) B {f } = f ( y)e y dy.

13 Now, conider the integral equation () f (x ) x dx, Replace x = e y ( or y =lnx) in formula (4) and ince x = to, y = - to, thu f (x ) e x dx = f (e y ) e y y d (e y ) = f ( y) e y dy, which i (9). Riemann Tranform: General Formula Formula F ( )=R {f ( x)}= f (x ) x dx f ( x) = R (F ()) Name Definition of Tranform Invere Tranform R {af (x) + bg(x)} = ar {f (x)} + br{g(x )} Linearity R {x a f ( x)} = F ( a) R {F ( a)} = x a f (x ) -Shifting Theorem R(f ') = (+)F(+) f () Differentiation of Function R(f '' ) = (+2)(+)F (+2) (+)f () f '() x R { f (τ )d τ } = F ( ), Integration of Function R {ln x f (x)} = F '() ln x } = R { f ( x) F(σ )dσ Differentiation of Tranform Integration of Tranform

14 Table: Some Riemann Tranform f(x) F() = R{f(x)} 2 x 3 x a a 4 x α i αi 5 co(α ln x) 2 + α 2 6 in(α ln x ) α 2 + α 2 7 coh(a ln x) 2 a 2 8 inh(aln x) a 2 a 2 9 x b co(α ln x) b ( b) 2 + α 2 x b in(α ln x ) α ( b) 2 + α 2 δ (x a) a (+) 2 n= δ (x n) n= n + 3 δ (x p) p p 4 μ (x a) a 5 μ (x n) n= n= n 6 μ (x p) p p = ζ (+) p (+) = ζ () 7 2 ln x [ co(α ln x )] ln( 2 + α 2 p 2 )

15 8 arctan in(αln x) ln x α 9 2 ln x [ coh(aln x)] ln( 2 a 2 2 ln x (xb x a ) ) 2 ln ( a b ) REFERENCE Riemann, Bernhard (859). On the Number of Prime Number le than a Given Quantity. pp. 5-7.

Riemann s Functional Equation is Not a Valid Function and Its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr.

Riemann s Functional Equation is Not a Valid Function and Its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr. Riemann Functional Equation i Not a Valid Function and It Implication on the Riemann Hypothei By Armando M. Evangelita Jr. armando78973@gmail.com On Augut 28, 28 ABSTRACT Riemann functional equation wa

More information

Laplace Transformation

Laplace Transformation Univerity of Technology Electromechanical Department Energy Branch Advance Mathematic Laplace Tranformation nd Cla Lecture 6 Page of 7 Laplace Tranformation Definition Suppoe that f(t) i a piecewie continuou

More information

Chapter 4. The Laplace Transform Method

Chapter 4. The Laplace Transform Method Chapter 4. The Laplace Tranform Method The Laplace Tranform i a tranformation, meaning that it change a function into a new function. Actually, it i a linear tranformation, becaue it convert a linear combination

More information

Riemann s Functional Equation is Not Valid and its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr.

Riemann s Functional Equation is Not Valid and its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr. Riemann Functional Equation i Not Valid and it Implication on the Riemann Hypothei By Armando M. Evangelita Jr. On November 4, 28 ABSTRACT Riemann functional equation wa formulated by Riemann that uppoedly

More information

LECTURE 12: LAPLACE TRANSFORM

LECTURE 12: LAPLACE TRANSFORM LECTURE 12: LAPLACE TRANSFORM 1. Definition and Quetion The definition of the Laplace tranform could hardly be impler: For an appropriate function f(t), the Laplace tranform of f(t) i a function F () which

More information

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions Chapter 4 Laplace Tranform 4 Introduction Reading aignment: In thi chapter we will cover Section 4 45 4 Definition and the Laplace tranform of imple function Given f, a function of time, with value f(t

More information

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281 72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition

More information

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions

Reading assignment: In this chapter we will cover Sections Definition and the Laplace transform of simple functions Chapter 4 Laplace Tranform 4 Introduction Reading aignment: In thi chapter we will cover Section 4 45 4 Definition and the Laplace tranform of imple function Given f, a function of time, with value f(t

More information

Practice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions

Practice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions For Quetion -6, rewrite the piecewie function uing tep function, ketch their graph, and find F () = Lf(t). 0 0 < t < 2. f(t) = (t 2 4) 2 < t In tep-function form, f(t) = u 2 (t 2 4) The graph i the olid

More information

TMA4125 Matematikk 4N Spring 2016

TMA4125 Matematikk 4N Spring 2016 Norwegian Univerity of Science and Technology Department of Mathematical Science TMA45 Matematikk 4N Spring 6 Solution to problem et 6 In general, unle ele i noted, if f i a function, then F = L(f denote

More information

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas)

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas) Lecture 7: Analytic Function and Integral (See Chapter 4 in Boa) Thi i a good point to take a brief detour and expand on our previou dicuion of complex variable and complex function of complex variable.

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...4

More information

MA 266 FINAL EXAM INSTRUCTIONS May 2, 2005

MA 266 FINAL EXAM INSTRUCTIONS May 2, 2005 MA 66 FINAL EXAM INSTRUCTIONS May, 5 NAME INSTRUCTOR. You mut ue a # pencil on the mark ene heet anwer heet.. If the cover of your quetion booklet i GREEN, write in the TEST/QUIZ NUMBER boxe and blacken

More information

Week 3 Statistics for bioinformatics and escience

Week 3 Statistics for bioinformatics and escience Week 3 Statitic for bioinformatic and escience Line Skotte 28. november 2008 2.9.3-4) In thi eercie we conider microrna data from Human and Moue. The data et repreent 685 independent realiation of the

More information

LAPLACE TRANSFORM REVIEW SOLUTIONS

LAPLACE TRANSFORM REVIEW SOLUTIONS LAPLACE TRANSFORM REVIEW SOLUTIONS. Find the Laplace tranform for the following function. If an image i given, firt write out the function and then take the tranform. a e t inh4t From #8 on the table:

More information

Problem 1. Construct a filtered probability space on which a Brownian motion W and an adapted process X are defined and such that

Problem 1. Construct a filtered probability space on which a Brownian motion W and an adapted process X are defined and such that Stochatic Calculu Example heet 4 - Lent 5 Michael Tehranchi Problem. Contruct a filtered probability pace on which a Brownian motion W and an adapted proce X are defined and uch that dx t = X t t dt +

More information

SOLUTIONS FOR HOMEWORK SECTION 6.4 AND 6.5

SOLUTIONS FOR HOMEWORK SECTION 6.4 AND 6.5 SOLUTIONS FOR HOMEWORK SECTION 6.4 AND 6.5 Problem : For each of the following function do the following: (i) Write the function a a piecewie function and ketch it graph, (ii) Write the function a a combination

More information

where F (x) (called the Similarity Factor (SF)) denotes the function

where F (x) (called the Similarity Factor (SF)) denotes the function italian journal of pure and applied mathematic n. 33 014 15 34) 15 GENERALIZED EXPONENTIAL OPERATORS AND DIFFERENCE EQUATIONS Mohammad Aif 1 Anju Gupta Department of Mathematic Kalindi College Univerity

More information

c n b n 0. c k 0 x b n < 1 b k b n = 0. } of integers between 0 and b 1 such that x = b k. b k c k c k

c n b n 0. c k 0 x b n < 1 b k b n = 0. } of integers between 0 and b 1 such that x = b k. b k c k c k 1. Exitence Let x (0, 1). Define c k inductively. Suppoe c 1,..., c k 1 are already defined. We let c k be the leat integer uch that x k An eay proof by induction give that and for all k. Therefore c n

More information

CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION. Professor Dae Ryook Yang

CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION. Professor Dae Ryook Yang CHBE3 ECTURE V APACE TRANSFORM AND TRANSFER FUNCTION Profeor Dae Ryook Yang Spring 8 Dept. of Chemical and Biological Engineering 5- Road Map of the ecture V aplace Tranform and Tranfer function Definition

More information

Chapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog

Chapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog Chapter Sampling and Quantization.1 Analog and Digital Signal In order to invetigate ampling and quantization, the difference between analog and digital ignal mut be undertood. Analog ignal conit of continuou

More information

e st t u(t 2) dt = lim t dt = T 2 2 e st = T e st lim + e st

e st t u(t 2) dt = lim t dt = T 2 2 e st = T e st lim + e st Math 46, Profeor David Levermore Anwer to Quetion for Dicuion Friday, 7 October 7 Firt Set of Quetion ( Ue the definition of the Laplace tranform to compute Lf]( for the function f(t = u(t t, where u i

More information

Math 201 Lecture 17: Discontinuous and Periodic Functions

Math 201 Lecture 17: Discontinuous and Periodic Functions Math 2 Lecture 7: Dicontinuou and Periodic Function Feb. 5, 22 Many example here are taken from the textbook. he firt number in () refer to the problem number in the UA Cutom edition, the econd number

More information

Digital Control System

Digital Control System Digital Control Sytem Summary # he -tranform play an important role in digital control and dicrete ignal proceing. he -tranform i defined a F () f(k) k () A. Example Conider the following equence: f(k)

More information

Math 334 Fall 2011 Homework 10 Solutions

Math 334 Fall 2011 Homework 10 Solutions Nov. 5, Math 334 Fall Homework Solution Baic Problem. Expre the following function uing the unit tep function. And ketch their graph. < t < a g(t = < t < t > t t < b g(t = t Solution. a We

More information

arxiv: v2 [math.nt] 30 Apr 2015

arxiv: v2 [math.nt] 30 Apr 2015 A THEOREM FOR DISTINCT ZEROS OF L-FUNCTIONS École Normale Supérieure arxiv:54.6556v [math.nt] 3 Apr 5 943 Cachan November 9, 7 Abtract In thi paper, we etablih a imple criterion for two L-function L and

More information

Lecture 8: Period Finding: Simon s Problem over Z N

Lecture 8: Period Finding: Simon s Problem over Z N Quantum Computation (CMU 8-859BB, Fall 205) Lecture 8: Period Finding: Simon Problem over Z October 5, 205 Lecturer: John Wright Scribe: icola Rech Problem A mentioned previouly, period finding i a rephraing

More information

Math 273 Solutions to Review Problems for Exam 1

Math 273 Solutions to Review Problems for Exam 1 Math 7 Solution to Review Problem for Exam True or Fale? Circle ONE anwer for each Hint: For effective tudy, explain why if true and give a counterexample if fale (a) T or F : If a b and b c, then a c

More information

Correction for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002

Correction for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002 Correction for Simple Sytem Example and Note on Laplace Tranform / Deviation Variable ECHE 55 Fall 22 Conider a tank draining from an initial height of h o at time t =. With no flow into the tank (F in

More information

DIFFERENTIAL EQUATIONS Laplace Transforms. Paul Dawkins

DIFFERENTIAL EQUATIONS Laplace Transforms. Paul Dawkins DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...

More information

Demonstration of Riemann Hypothesis

Demonstration of Riemann Hypothesis Demontration of Riemann Hypothei Diego arin June 2, 204 Abtract We define an infinite ummation which i proportional to the revere of Riemann Zeta function ζ(). Then we demontrate that uch function can

More information

Introduction to Laplace Transform Techniques in Circuit Analysis

Introduction to Laplace Transform Techniques in Circuit Analysis Unit 6 Introduction to Laplace Tranform Technique in Circuit Analyi In thi unit we conider the application of Laplace Tranform to circuit analyi. A relevant dicuion of the one-ided Laplace tranform i found

More information

Feedback Control Systems (FCS)

Feedback Control Systems (FCS) Feedback Control Sytem (FCS) Lecture19-20 Routh-Herwitz Stability Criterion Dr. Imtiaz Huain email: imtiaz.huain@faculty.muet.edu.pk URL :http://imtiazhuainkalwar.weebly.com/ Stability of Higher Order

More information

The Laplace Transform

The Laplace Transform Chapter 7 The Laplace Tranform 85 In thi chapter we will explore a method for olving linear differential equation with contant coefficient that i widely ued in electrical engineering. It involve the tranformation

More information

SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU. I will collect my solutions to some of the exercises in this book in this document.

SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU. I will collect my solutions to some of the exercises in this book in this document. SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU CİHAN BAHRAN I will collect my olution to ome of the exercie in thi book in thi document. Section 2.1 1. Let A = k[[t ]] be the ring of

More information

Laplace Adomian Decomposition Method for Solving the Nonlinear Volterra Integral Equation with Weakly Kernels

Laplace Adomian Decomposition Method for Solving the Nonlinear Volterra Integral Equation with Weakly Kernels Studie in Nonlinear Science (4): 9-4, ISSN -9 IDOSI Publication, Laplace Adomian Decompoition Method for Solving the Nonlinear Volterra Integral Equation with Weakly Kernel F.A. Hendi Department of Mathematic

More information

(2) Classify the critical points of linear systems and almost linear systems.

(2) Classify the critical points of linear systems and almost linear systems. Review for Exam 3 Three type of prolem: () Solve the firt order homogeneou linear ytem x Ax () Claify the critical point of linear ytem and almot linear ytem (3) Solve the high order linear equation uing

More information

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -

More information

CHE302 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION. Professor Dae Ryook Yang

CHE302 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION. Professor Dae Ryook Yang CHE3 ECTURE V APACE TRANSFORM AND TRANSFER FUNCTION Profeor Dae Ryook Yang Fall Dept. of Chemical and Biological Engineering Korea Univerity CHE3 Proce Dynamic and Control Korea Univerity 5- SOUTION OF

More information

Name: Solutions Exam 3

Name: Solutions Exam 3 Intruction. Anwer each of the quetion on your own paper. Put your name on each page of your paper. Be ure to how your work o that partial credit can be adequately aeed. Credit will not be given for anwer

More information

V = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr

V = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr 0.1 Related Rate In many phyical ituation we have a relationhip between multiple quantitie, and we know the rate at which one of the quantitie i changing. Oftentime we can ue thi relationhip a a convenient

More information

SECTION x2 x > 0, t > 0, (8.19a)

SECTION x2 x > 0, t > 0, (8.19a) SECTION 8.5 433 8.5 Application of aplace Tranform to Partial Differential Equation In Section 8.2 and 8.3 we illutrated the effective ue of aplace tranform in olving ordinary differential equation. The

More information

Lecture 3. January 9, 2018

Lecture 3. January 9, 2018 Lecture 3 January 9, 208 Some complex analyi Although you might have never taken a complex analyi coure, you perhap till know what a complex number i. It i a number of the form z = x + iy, where x and

More information

Chapter 7: The Laplace Transform Part 1

Chapter 7: The Laplace Transform Part 1 Chapter 7: The Laplace Tranform Part 1 王奕翔 Department of Electrical Engineering National Taiwan Univerity ihwang@ntu.edu.tw November 26, 213 1 / 34 王奕翔 DE Lecture 1 Solving an initial value problem aociated

More information

Solving Differential Equations by the Laplace Transform and by Numerical Methods

Solving Differential Equations by the Laplace Transform and by Numerical Methods 36CH_PHCalter_TechMath_95099 3//007 :8 PM Page Solving Differential Equation by the Laplace Tranform and by Numerical Method OBJECTIVES When you have completed thi chapter, you hould be able to: Find the

More information

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3

More information

The Laplace Transform (Intro)

The Laplace Transform (Intro) 4 The Laplace Tranform (Intro) The Laplace tranform i a mathematical tool baed on integration that ha a number of application It particular, it can implify the olving of many differential equation We will

More information

L 2 -transforms for boundary value problems

L 2 -transforms for boundary value problems Computational Method for Differential Equation http://cmde.tabrizu.ac.ir Vol. 6, No., 8, pp. 76-85 L -tranform for boundary value problem Arman Aghili Department of applied mathematic, faculty of mathematical

More information

The Power Series Expansion on a Bulge Heaviside Step Function

The Power Series Expansion on a Bulge Heaviside Step Function Applied Mathematical Science, Vol 9, 05, no 3, 5-9 HIKARI Ltd, wwwm-hikaricom http://dxdoiorg/0988/am054009 The Power Serie Expanion on a Bulge Heaviide Step Function P Haara and S Pothat Department of

More information

SOME MONOTONICITY PROPERTIES AND INEQUALITIES FOR

SOME MONOTONICITY PROPERTIES AND INEQUALITIES FOR Kragujevac Journal of Mathematic Volume 4 08 Page 87 97. SOME MONOTONICITY PROPERTIES AND INEQUALITIES FOR THE p k-gamma FUNCTION KWARA NANTOMAH FATON MEROVCI AND SULEMAN NASIRU 3 Abtract. In thi paper

More information

18.03SC Final Exam = x 2 y ( ) + x This problem concerns the differential equation. dy 2

18.03SC Final Exam = x 2 y ( ) + x This problem concerns the differential equation. dy 2 803SC Final Exam Thi problem concern the differential equation dy = x y ( ) dx Let y = f (x) be the olution with f ( ) = 0 (a) Sketch the iocline for lope, 0, and, and ketch the direction field along them

More information

Solutions to homework #10

Solutions to homework #10 Solution to homework #0 Problem 7..3 Compute 6 e 3 t t t 8. The firt tep i to ue the linearity of the Laplace tranform to ditribute the tranform over the um and pull the contant factor outide the tranform.

More information

ME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004

ME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004 ME 375 FINAL EXAM SOLUTIONS Friday December 7, 004 Diviion Adam 0:30 / Yao :30 (circle one) Name Intruction () Thi i a cloed book eamination, but you are allowed three 8.5 crib heet. () You have two hour

More information

Sampling and the Discrete Fourier Transform

Sampling and the Discrete Fourier Transform Sampling and the Dicrete Fourier Tranform Sampling Method Sampling i mot commonly done with two device, the ample-and-hold (S/H) and the analog-to-digital-converter (ADC) The S/H acquire a CT ignal at

More information

CONTROL SYSTEMS. Chapter 2 : Block Diagram & Signal Flow Graphs GATE Objective & Numerical Type Questions

CONTROL SYSTEMS. Chapter 2 : Block Diagram & Signal Flow Graphs GATE Objective & Numerical Type Questions ONTOL SYSTEMS hapter : Bloc Diagram & Signal Flow Graph GATE Objective & Numerical Type Quetion Quetion 6 [Practice Boo] [GATE E 994 IIT-Kharagpur : 5 Mar] educe the ignal flow graph hown in figure below,

More information

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL GLASNIK MATEMATIČKI Vol. 38583, 73 84 TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL p-laplacian Haihen Lü, Donal O Regan and Ravi P. Agarwal Academy of Mathematic and Sytem Science, Beijing, China, National

More information

FUNDAMENTALS OF POWER SYSTEMS

FUNDAMENTALS OF POWER SYSTEMS 1 FUNDAMENTALS OF POWER SYSTEMS 1 Chapter FUNDAMENTALS OF POWER SYSTEMS INTRODUCTION The three baic element of electrical engineering are reitor, inductor and capacitor. The reitor conume ohmic or diipative

More information

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 REVISTA DE LA UNIÓN MATEMÁTICA ARGENTINA Vol. 57, No. 1, 2016, Page 71 83 Publihed online: March 3, 2016 NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 JINHUA QIAN AND YOUNG HO KIM Abtract. We tudy

More information

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang

More information

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES DOUGLAS R. ANDERSON Abtract. We are concerned with the repreentation of polynomial for nabla dynamic equation on time cale. Once etablihed,

More information

Geometric Measure Theory

Geometric Measure Theory Geometric Meaure Theory Lin, Fall 010 Scribe: Evan Chou Reference: H. Federer, Geometric meaure theory L. Simon, Lecture on geometric meaure theory P. Mittila, Geometry of et and meaure in Euclidean pace

More information

Laplace Transform. Chapter 8. Contents

Laplace Transform. Chapter 8. Contents Chapter 8 Laplace Tranform Content 8.1 Introduction to the Laplace Method..... 443 8.2 Laplace Integral Table............. 45 8.3 Laplace Tranform Rule............ 456 8.4 Heaviide Method...............

More information

NOTE: The items d) and e) of Question 4 gave you bonus marks.

NOTE: The items d) and e) of Question 4 gave you bonus marks. MAE 40 Linear ircuit Summer 2007 Final Solution NOTE: The item d) and e) of Quetion 4 gave you bonu mark. Quetion [Equivalent irciut] [4 mark] Find the equivalent impedance between terminal A and B in

More information

Modeling in the Frequency Domain

Modeling in the Frequency Domain T W O Modeling in the Frequency Domain SOLUTIONS TO CASE STUDIES CHALLENGES Antenna Control: Tranfer Function Finding each tranfer function: Pot: V i θ i 0 π ; Pre-Amp: V p V i K; Power Amp: E a V p 50

More information

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004 18.997 Topic in Combinatorial Optimization April 29th, 2004 Lecture 21 Lecturer: Michel X. Goeman Scribe: Mohammad Mahdian 1 The Lovaz plitting-off lemma Lovaz plitting-off lemma tate the following. Theorem

More information

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation IEOR 316: Fall 213, Profeor Whitt Topic for Dicuion: Tueday, November 19 Alternating Renewal Procee and The Renewal Equation 1 Alternating Renewal Procee An alternating renewal proce alternate between

More information

Midterm Test Nov 10, 2010 Student Number:

Midterm Test Nov 10, 2010 Student Number: Mathematic 265 Section: 03 Verion A Full Name: Midterm Tet Nov 0, 200 Student Number: Intruction: There are 6 page in thi tet (including thi cover page).. Caution: There may (or may not) be more than one

More information

1 Routh Array: 15 points

1 Routh Array: 15 points EE C28 / ME34 Problem Set 3 Solution Fall 2 Routh Array: 5 point Conider the ytem below, with D() k(+), w(t), G() +2, and H y() 2 ++2 2(+). Find the cloed loop tranfer function Y () R(), and range of k

More information

Digital Control System

Digital Control System Digital Control Sytem - A D D A Micro ADC DAC Proceor Correction Element Proce Clock Meaurement A: Analog D: Digital Continuou Controller and Digital Control Rt - c Plant yt Continuou Controller Digital

More information

Solutions for homework 8

Solutions for homework 8 Solution for homework 8 Section. Baic propertie of the Laplace Tranform. Ue the linearity of the Laplace tranform (Propoition.7) and Table of Laplace tranform on page 04 to find the Laplace tranform of

More information

ON THE SMOOTHNESS OF SOLUTIONS TO A SPECIAL NEUMANN PROBLEM ON NONSMOOTH DOMAINS

ON THE SMOOTHNESS OF SOLUTIONS TO A SPECIAL NEUMANN PROBLEM ON NONSMOOTH DOMAINS Journal of Pure and Applied Mathematic: Advance and Application Volume, umber, 4, Page -35 O THE SMOOTHESS OF SOLUTIOS TO A SPECIAL EUMA PROBLEM O OSMOOTH DOMAIS ADREAS EUBAUER Indutrial Mathematic Intitute

More information

ME 375 FINAL EXAM Wednesday, May 6, 2009

ME 375 FINAL EXAM Wednesday, May 6, 2009 ME 375 FINAL EXAM Wedneday, May 6, 9 Diviion Meckl :3 / Adam :3 (circle one) Name_ Intruction () Thi i a cloed book examination, but you are allowed three ingle-ided 8.5 crib heet. A calculator i NOT allowed.

More information

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty IOSR Journal of Electrical and Electronic Engineering (IOSR-JEEE) ISSN: 78-676Volume, Iue 6 (Nov. - Dec. 0), PP 4-0 Simple Oberver Baed Synchronization of Lorenz Sytem with Parametric Uncertainty Manih

More information

Things to Definitely Know. e iθ = cos θ + i sin θ. cos 2 θ + sin 2 θ = 1. cos(u + v) = cos u cos v sin u sin v sin(u + v) = cos u sin v + sin u cos v

Things to Definitely Know. e iθ = cos θ + i sin θ. cos 2 θ + sin 2 θ = 1. cos(u + v) = cos u cos v sin u sin v sin(u + v) = cos u sin v + sin u cos v Thing to Definitely Know Euler Identity Pythagorean Identity Trigonometric Identitie e iθ co θ + i in θ co 2 θ + in 2 θ I Firt Order Differential Equation co(u + v co u co v in u in v in(u + v co u in

More information

Bogoliubov Transformation in Classical Mechanics

Bogoliubov Transformation in Classical Mechanics Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How

More information

NAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE

NAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE POLITONG SHANGHAI BASIC AUTOMATIC CONTROL June Academic Year / Exam grade NAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE Ue only thee page (including the bac) for anwer. Do not ue additional

More information

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Thi Online Appendix contain the proof of our reult for the undicounted limit dicued in Section 2 of the paper,

More information

Problem Set 8 Solutions

Problem Set 8 Solutions Deign and Analyi of Algorithm April 29, 2015 Maachuett Intitute of Technology 6.046J/18.410J Prof. Erik Demaine, Srini Devada, and Nancy Lynch Problem Set 8 Solution Problem Set 8 Solution Thi problem

More information

Lecture 10 Filtering: Applied Concepts

Lecture 10 Filtering: Applied Concepts Lecture Filtering: Applied Concept In the previou two lecture, you have learned about finite-impule-repone (FIR) and infinite-impule-repone (IIR) filter. In thee lecture, we introduced the concept of filtering

More information

USPAS Course on Recirculated and Energy Recovered Linear Accelerators

USPAS Course on Recirculated and Energy Recovered Linear Accelerators USPAS Coure on Recirculated and Energy Recovered Linear Accelerator G. A. Krafft and L. Merminga Jefferon Lab I. Bazarov Cornell Lecture 6 7 March 005 Lecture Outline. Invariant Ellipe Generated by a Unimodular

More information

Convex Hulls of Curves Sam Burton

Convex Hulls of Curves Sam Burton Convex Hull of Curve Sam Burton 1 Introduction Thi paper will primarily be concerned with determining the face of convex hull of curve of the form C = {(t, t a, t b ) t [ 1, 1]}, a < b N in R 3. We hall

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecture 1 Root Locu Emam Fathy Department of Electrical and Control Engineering email: emfmz@aat.edu http://www.aat.edu/cv.php?dip_unit=346&er=68525 1 Introduction What i root locu?

More information

Manprit Kaur and Arun Kumar

Manprit Kaur and Arun Kumar CUBIC X-SPLINE INTERPOLATORY FUNCTIONS Manprit Kaur and Arun Kumar manpreet2410@gmail.com, arun04@rediffmail.com Department of Mathematic and Computer Science, R. D. Univerity, Jabalpur, INDIA. Abtract:

More information

AN EXAMPLE FOR THE GENERALIZATION OF THE INTEGRATION OF SPECIAL FUNCTIONS BY USING THE LAPLACE TRANSFORM

AN EXAMPLE FOR THE GENERALIZATION OF THE INTEGRATION OF SPECIAL FUNCTIONS BY USING THE LAPLACE TRANSFORM Journal of Inequalitie Special Function ISSN: 7-433, URL: http://www.iliria.com Volume 6 Iue 5, Page 5-3. AN EXAMPLE FOR THE GENERALIZATION OF THE INTEGRATION OF SPECIAL FUNCTIONS BY USING THE LAPLACE

More information

Fourier Series And Transforms

Fourier Series And Transforms Chapter Fourier Serie And ranform. Fourier Serie A function that i defined and quare-integrable over an interval, [,], and i then periodically extended over the entire real line can be expreed a an infinite

More information

AMS 212B Perturbation Methods Lecture 20 Part 1 Copyright by Hongyun Wang, UCSC. is the kinematic viscosity and ˆp = p ρ 0

AMS 212B Perturbation Methods Lecture 20 Part 1 Copyright by Hongyun Wang, UCSC. is the kinematic viscosity and ˆp = p ρ 0 Lecture Part 1 Copyright by Hongyun Wang, UCSC Prandtl boundary layer Navier-Stoke equation: Conervation of ma: ρ t + ( ρ u) = Balance of momentum: u ρ t + u = p+ µδ u + ( λ + µ ) u where µ i the firt

More information

Design of Digital Filters

Design of Digital Filters Deign of Digital Filter Paley-Wiener Theorem [ ] ( ) If h n i a caual energy ignal, then ln H e dω< B where B i a finite upper bound. One implication of the Paley-Wiener theorem i that a tranfer function

More information

STOCHASTIC EVOLUTION EQUATIONS WITH RANDOM GENERATORS. By Jorge A. León 1 and David Nualart 2 CINVESTAV-IPN and Universitat de Barcelona

STOCHASTIC EVOLUTION EQUATIONS WITH RANDOM GENERATORS. By Jorge A. León 1 and David Nualart 2 CINVESTAV-IPN and Universitat de Barcelona The Annal of Probability 1998, Vol. 6, No. 1, 149 186 STOCASTIC EVOLUTION EQUATIONS WIT RANDOM GENERATORS By Jorge A. León 1 and David Nualart CINVESTAV-IPN and Univeritat de Barcelona We prove the exitence

More information

CHAPTER 9. Inverse Transform and. Solution to the Initial Value Problem

CHAPTER 9. Inverse Transform and. Solution to the Initial Value Problem A SERIES OF CLASS NOTES FOR 005-006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES A COLLECTION OF HANDOUTS ON SCALAR LINEAR ORDINARY DIFFERENTIAL

More information

Robustness analysis for the boundary control of the string equation

Robustness analysis for the boundary control of the string equation Routne analyi for the oundary control of the tring equation Martin GUGAT Mario SIGALOTTI and Mariu TUCSNAK I INTRODUCTION AND MAIN RESULTS In thi paper we conider the infinite dimenional ytem determined

More information

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. R 4 := 100 kohm

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. R 4 := 100 kohm SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuit II Solution to Aignment 3 February 2003. Cacaded Op Amp [DC&L, problem 4.29] An ideal op amp ha an output impedance of zero,

More information

ME 375 EXAM #1 Tuesday February 21, 2006

ME 375 EXAM #1 Tuesday February 21, 2006 ME 375 EXAM #1 Tueday February 1, 006 Diviion Adam 11:30 / Savran :30 (circle one) Name Intruction (1) Thi i a cloed book examination, but you are allowed one 8.5x11 crib heet. () You have one hour to

More information

Chapter 2 Further Properties of the Laplace Transform

Chapter 2 Further Properties of the Laplace Transform Chapter 2 Further Propertie of the Laplace Tranform 2.1 Real Function Sometime, a function F(t) repreent a natural or engineering proce that ha no obviou tarting value. Statitician call thi a time erie.

More information

Weber Schafheitlin-type integrals with exponent 1

Weber Schafheitlin-type integrals with exponent 1 Integral Tranform and Special Function Vol., No., February 9, 47 53 Weber Schafheitlin-type integral with exponent Johanne Kellendonk* and Serge Richard Univerité de Lyon, Univerité Lyon, Intitut Camille

More information

3.1 The Revised Simplex Algorithm. 3 Computational considerations. Thus, we work with the following tableau. Basic observations = CARRY. ... m.

3.1 The Revised Simplex Algorithm. 3 Computational considerations. Thus, we work with the following tableau. Basic observations = CARRY. ... m. 3 Computational conideration In what follow, we analyze the complexity of the Simplex algorithm more in detail For thi purpoe, we focu on the update proce in each iteration of thi procedure Clearly, ince,

More information

Social Studies 201 Notes for March 18, 2005

Social Studies 201 Notes for March 18, 2005 1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

The Laplace Transform , Haynes Miller and Jeremy Orloff

The Laplace Transform , Haynes Miller and Jeremy Orloff The Laplace Tranform 8.3, Hayne Miller and Jeremy Orloff Laplace tranform baic: introduction An operator take a function a input and output another function. A tranform doe the ame thing with the added

More information

Lectures on Exact Solutions of Landau 1+1 Hydrodynamics Cheuk-Yin Wong Oak Ridge National Laboratory

Lectures on Exact Solutions of Landau 1+1 Hydrodynamics Cheuk-Yin Wong Oak Ridge National Laboratory 1 Dene Matter Summer School, Dubna, July 4, 015 Lecture on Exact Solution of Landau 1+1 Hydrodynamic Cheuk-Yin Wong Oak Ridge National Laboratory 1. Introduction. Exact analytical olution diplayed Analogou

More information

Chapter 7: The Laplace Transform

Chapter 7: The Laplace Transform Chapter 7: The Laplace Tranform 王奕翔 Department of Electrical Engineering National Taiwan Univerity ihwang@ntu.edu.tw November 2, 213 1 / 25 王奕翔 DE Lecture 1 Solving an initial value problem aociated with

More information

1.3 and 3.9: Derivatives of exponential and logarithmic functions

1.3 and 3.9: Derivatives of exponential and logarithmic functions . and.9: Derivative of exponential and logarithmic function Problem Explain what each of the following mean: (a) f (x) Thi denote the invere function of f, f, evauluated at x. (b) f(x ) Thi mean f. x (c)

More information