Mathematical Methods and its Applications (Solution of assignment-12) Solution 1 From the definition of Fourier transforms, we have.

Size: px
Start display at page:

Download "Mathematical Methods and its Applications (Solution of assignment-12) Solution 1 From the definition of Fourier transforms, we have."

Transcription

1 For 2 weeks course only Mathematical Methods and its Applications (Solution of assignment-2 Solution From the definition of Fourier transforms, we have F e at2 e at2 e it dt e at2 +(it/a dt ( setting ( a t + i 2a τ. e 2 /(4a τ 2 dτ e, a 2e 2 /4a a e τ 2 dτ Option a is correct. Solution 2 e 2 /4a a Here, option b is correct. z /2 e z dz (putting τ z e 2 /4a a Γ(/2 F c xe ax π a e 2 /4a. xe ax cos x dx Re xe (i ax dx Re xe (i ax dx xe (i ax Re i a Re e(i ax (i a 2, (i a 2 (since lim xe (i ax lim e (i ax, as a >. x x Re 2 + a 2 2ai a2 2 (a

2 Solution 3 F (2 + 9i 2 ( ( F 5 + i 4 + i Since F e 5t u (t and F e 4t u (t, therefore by Convolution theorem for Fourier transforms, we 5 + i 4 + i get F (2 + 9i 2 ( e 4t e τ u (tu(t τdτ t e 4t e τ dτ, since u (tu(t τ e 5τ u (te 4(t τ u(t τdτ { if τ t, otherwise. Option c is correct. e 4t e 5t, t. Solution 4 F s t Put t z dt dz. Therefore, we have F s t sin t dt t ( sin z z dz So, option d is correct sin z z dz π 2. Solution 5 So, option c is correct. F c f(t t cos t dt + f(t cos t dt 2 2 cos ( cos. 2 (2 t cos t dt 2

3 Solution 6 Let u(x, t F (xg(t. Then 2 u t 2 F (xg (t and 2 u x 2 F (xg(t. Substituting these in the given differential equation, we get F F G 9G Therefore, we obtain the equations Using the boundary conditions, we get Consider the following three cases. Case I k. From ( we get k (say, where k constant. F kf and G 9kG. ( u(, t F (G(t for all t F (. u(2, t F (2G(t for all t F (2. F (x, whose solution is F (x Ax + B. Using conditions F ( F (2, we get A and B. Therefore, Hence, k. F (x, which gives u(x, t. Case II k p 2. From ( we get F p 2 F. The solution is given as F (x C e px + C 2 e px. This implies F ( C + C 2 and F (2 C e 2p + C 2 e 2p. Solving, we get C C 2 which gives u(x, t. 3

4 Hence, k is not a positive quantity. Case III k p 2. From ( we get On solving, we obtain F + p 2 F. F (x C cos px + C 2 sin px. Applying the boundary conditions, we get F ( C and F (2 C 2 sin 2p. To obtain nontrivial solutions, we need C 2. Therefore, sin 2p sin nπ, n I p nπ 2, n I Thus, we obtain Again, from (, we get F n C n sin(nπx/2. G + 9p 2 G. The solution is given as G(t D cos(3pt + E sin(3pt D cos(3nπt/2 + E sin(3nπt/2. Hence, the solution of the given equation is u n (x, t F n G n sin(nπx/2d n cos(3nπt/2 + E n sin(3nπt/2. Using the superposition principle, we get where u(x, t u n (x, t u(x, Integrating, we get sin(nπx/2d n cos(3nπt/2 + E n sin(3nπt/2. D n sin(nπx/2 D n x sin(nπx/2 dx + { x if x, 2 x if x 2, u(x, sin(nπx/2 dx 2 D n 8 n 2 π 2 sin(nπ/2. 4 (2 x sin(nπx/2 dx.

5 Again, u t (x, where E n(3nπ/2 sin(nπx/2, E n(3nπ/ E n. Hence, the solution of the given equation is u t (x, sin(nπx/2 dx u(x, t 8 π 2 sin(nπ/2 cos(3nπt/2 sin(nπx/2. n2 Option d is correct. Solution 7 Applying Fourier sine transforms to the given differential equation, we have u 2 u F s F s t x 2 d dt F s(, t 2 F s (, t + u(, t 2 F s (, t, (since u(, t. The solution of this linear, first order equation is where k( is an arbitrary function of. Taking sine transform of the boundary condition, we get F s (, t k(e 2t, (2 F s u(x, G( Putting t in (2, we get u(x, sin(t dt sin(t dt ( cos(t cos. F s (, k( G(. 5

6 Therefore, ( cos F s (, t G(e 2t e 2t. Taking inverse Fourier sine transforms, we obtain Option c is correct. u(x, t 2 π 2 π ( cos F s (, t sin(x d e 2t sin(x d. Solution 8 Let u(x, t F (xg(t. Then u t F (xg (t and 2 u x 2 F (xg(t. Substituting these in the given differential equation, we get Therefore, F F G G Using the boundary conditions, we get k (say, k constant. F kf and G kg. (3 u(, t F (G(t for all t F (. u(4, t F (4G(t for all t F (4. Now, for k and k p 2, the solution is not possible (as shown in solution 6. Therefore, the only case possible is k p 2. From (3, we get F + p 2 F. On solving, we obtain Applying the boundary conditions, we get F (x C cos px + C 2 sin px. F ( C and F (4 C 2 sin 4p. To obtain nontrivial solutions, we need C 2. Therefore, sin 4p sin nπ, n I p nπ 4, n I Thus, we obtain F n C n sin(nπx/4. 6

7 Again, from (3, we get The solution is given as G + p 2 G. Therefore, we get G(t Ae p2t Ae (n2 π 2 t/6. G n (t A n e (n2 π 2 t/6. Hence, the solution of the given equation is ( u n (x, t F n G n C n sin(nπx/4 A n e (n2 π 2t/6 D n sin(nπx/4e (n2 π 2t/6, where D n C n A n. Further, using the superposition principle, we get Now, where u(x, t u n (x, t D n 2 4 D n sin(nπx/4e (n2 π 2t/6, < x < 4. u(x, 2x 4 D n sin(nπx/4 2x, u(x, sin(nπx/4 dx Integrating, we obtain D n 6 nπ ( n+. Hence, the solution of the given equation is Option d is correct. u(x, t 4 x sin(nπx/4 dx. 6 nπ ( n+ sin(nπx/4e (n2 π2 t/6. Solution 9 Since the domain of the bar is < x <, therefore, we take Fourier transform with respect to x. Let F u(x, y F (, y. Taking Fourier transforms on both sides with respect to x, we obtain 2 u 2 u F + F x 2 y 2 2 F (, y + d2 F (, y dy2 (D 2 2 F (, y, D d dy. 7

8 The solution of this ordinary differential equation is F (, y A cosh(y + B sinh(y. (4 Taking Fourier transforms on the boundary condition, we obtain (since F e a x F u(x, F (, F e 2 x , 2a, < x <, a >. For y from (4, we have a F (, A cosh + B sinh (5 Again, taking Fourier transform on the other boundary condition, we get u F y (x, d F (,. (6 dy Differentiating both sides of (4 with respect to y, we get Using (6 and putting y, we obtain d F (, y A sinh(y + B cosh(y. dy d F (, B dy Therefore, from (5, we get A B. 4 ( cosh. Hence, from (4, we obtain F (, y Taking inverse Fourier transforms, 2π u(x, y 2π 2π 4 cosh(y ( cosh. ( 4 cosh(y ( cosh F (, ye ix d ( 4 cosh(y ( cosh 8 e ix d (cos(x + i sin(x d.

9 Here, i ( 4 cosh(y sin(x d, since the integral is odd in. 2π ( cosh Therefore, the solution is given by Option a is correct. u(x, y 2π 4 cosh(y (4 + 2 cosh cos(xd. 9

1 x if 0 < x < 2, 1 x if 2 < x < 0.

1 x if 0 < x < 2, 1 x if 2 < x < 0. Problem The function f(x) = x, defined on the interval [0, 2], is to be extended to an odd function g with period 4. Sketch the graph of the function g on the interval [ 4, 4] and find the Fourier series

More information

MA Chapter 10 practice

MA Chapter 10 practice MA 33 Chapter 1 practice NAME INSTRUCTOR 1. Instructor s names: Chen. Course number: MA33. 3. TEST/QUIZ NUMBER is: 1 if this sheet is yellow if this sheet is blue 3 if this sheet is white 4. Sign the scantron

More information

17 Source Problems for Heat and Wave IB- VPs

17 Source Problems for Heat and Wave IB- VPs 17 Source Problems for Heat and Wave IB- VPs We have mostly dealt with homogeneous equations, homogeneous b.c.s in this course so far. Recall that if we have non-homogeneous b.c.s, then we want to first

More information

UNIVERSITY OF SOUTHAMPTON. A foreign language dictionary (paper version) is permitted provided it contains no notes, additions or annotations.

UNIVERSITY OF SOUTHAMPTON. A foreign language dictionary (paper version) is permitted provided it contains no notes, additions or annotations. UNIVERSITY OF SOUTHAMPTON MATH055W SEMESTER EXAMINATION 03/4 MATHEMATICS FOR ELECTRONIC & ELECTRICAL ENGINEERING Duration: 0 min Solutions Only University approved calculators may be used. A foreign language

More information

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section:

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section: MATH 251 Final Examination May 4, 2015 FORM A Name: Student Number: Section: This exam has 16 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all work must

More information

MATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section:

MATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section: MATH 5 Final Examination December 6, 5 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 5 points. In order to obtain full credit for partial credit problems, all work must

More information

THE UNIVERSITY OF WESTERN ONTARIO. Applied Mathematics 375a Instructor: Matt Davison. Final Examination December 14, :00 12:00 a.m.

THE UNIVERSITY OF WESTERN ONTARIO. Applied Mathematics 375a Instructor: Matt Davison. Final Examination December 14, :00 12:00 a.m. THE UNIVERSITY OF WESTERN ONTARIO London Ontario Applied Mathematics 375a Instructor: Matt Davison Final Examination December 4, 22 9: 2: a.m. 3 HOURS Name: Stu. #: Notes: ) There are 8 question worth

More information

Examples of the Fourier Theorem (Sect. 10.3). The Fourier Theorem: Continuous case.

Examples of the Fourier Theorem (Sect. 10.3). The Fourier Theorem: Continuous case. s of the Fourier Theorem (Sect. 1.3. The Fourier Theorem: Continuous case. : Using the Fourier Theorem. The Fourier Theorem: Piecewise continuous case. : Using the Fourier Theorem. The Fourier Theorem:

More information

Fourier Integral. Dr Mansoor Alshehri. King Saud University. MATH204-Differential Equations Center of Excellence in Learning and Teaching 1 / 22

Fourier Integral. Dr Mansoor Alshehri. King Saud University. MATH204-Differential Equations Center of Excellence in Learning and Teaching 1 / 22 Dr Mansoor Alshehri King Saud University MATH4-Differential Equations Center of Excellence in Learning and Teaching / Fourier Cosine and Sine Series Integrals The Complex Form of Fourier Integral MATH4-Differential

More information

Examination paper for TMA4130 Matematikk 4N: SOLUTION

Examination paper for TMA4130 Matematikk 4N: SOLUTION Department of Mathematical Sciences Examination paper for TMA4 Matematikk 4N: SOLUTION Academic contact during examination: Morten Nome Phone: 9 84 97 8 Examination date: December 7 Examination time (from

More information

ENGIN 211, Engineering Math. Laplace Transforms

ENGIN 211, Engineering Math. Laplace Transforms ENGIN 211, Engineering Math Laplace Transforms 1 Why Laplace Transform? Laplace transform converts a function in the time domain to its frequency domain. It is a powerful, systematic method in solving

More information

Homework Solutions:

Homework Solutions: Homework Solutions: 1.1-1.3 Section 1.1: 1. Problems 1, 3, 5 In these problems, we want to compare and contrast the direction fields for the given (autonomous) differential equations of the form y = ay

More information

Analysis III Solutions - Serie 12

Analysis III Solutions - Serie 12 .. Necessary condition Let us consider the following problem for < x, y < π, u =, for < x, y < π, u y (x, π) = x a, for < x < π, u y (x, ) = a x, for < x < π, u x (, y) = u x (π, y) =, for < y < π. Find

More information

MATH 251 Final Examination May 3, 2017 FORM A. Name: Student Number: Section:

MATH 251 Final Examination May 3, 2017 FORM A. Name: Student Number: Section: MATH 5 Final Examination May 3, 07 FORM A Name: Student Number: Section: This exam has 6 questions for a total of 50 points. In order to obtain full credit for partial credit problems, all work must be

More information

MATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section:

MATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section: MATH 2 Final Examination December 6, 204 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 0 points. In order to obtain full credit for partial credit problems, all work must

More information

REFERENCE: CROFT & DAVISON CHAPTER 20 BLOCKS 1-3

REFERENCE: CROFT & DAVISON CHAPTER 20 BLOCKS 1-3 IV ORDINARY DIFFERENTIAL EQUATIONS REFERENCE: CROFT & DAVISON CHAPTER 0 BLOCKS 1-3 INTRODUCTION AND TERMINOLOGY INTRODUCTION A differential equation (d.e.) e) is an equation involving an unknown function

More information

Section 6: Summary Section 7

Section 6: Summary Section 7 Section 6: Summary Section 7 a n = 2 ( 2πnx cos b n = 2 ( 2πnx sin d = f(x dx f(x = d + n= [ a n cos f(x dx f(x dx ( ( ] 2πnx 2πnx + b n sin You can sometimes combine multiple integrals using symmetry

More information

Laplace Transforms and use in Automatic Control

Laplace Transforms and use in Automatic Control Laplace Transforms and use in Automatic Control P.S. Gandhi Mechanical Engineering IIT Bombay Acknowledgements: P.Santosh Krishna, SYSCON Recap Fourier series Fourier transform: aperiodic Convolution integral

More information

Practice Problems For Test 3

Practice Problems For Test 3 Practice Problems For Test 3 Power Series Preliminary Material. Find the interval of convergence of the following. Be sure to determine the convergence at the endpoints. (a) ( ) k (x ) k (x 3) k= k (b)

More information

Homework Solutions: , plus Substitutions

Homework Solutions: , plus Substitutions Homework Solutions: 2.-2.2, plus Substitutions Section 2. I have not included any drawings/direction fields. We can see them using Maple or by hand, so we ll be focusing on getting the analytic solutions

More information

Practice Problems For Test 3

Practice Problems For Test 3 Practice Problems For Test 3 Power Series Preliminary Material. Find the interval of convergence of the following. Be sure to determine the convergence at the endpoints. (a) ( ) k (x ) k (x 3) k= k (b)

More information

The General Dirichlet Problem on a Rectangle

The General Dirichlet Problem on a Rectangle The General Dirichlet Problem on a Rectangle Ryan C. Trinity University Partial Differential Equations March 7, 0 Goal: Solve the general (inhomogeneous) Dirichlet problem u = 0, 0 < x < a, 0 < y < b,

More information

1 Solution to Homework 4

1 Solution to Homework 4 Solution to Homework Section. 5. The characteristic equation is r r + = (r )(r ) = 0 r = or r =. y(t) = c e t + c e t y = c e t + c e t. y(0) =, y (0) = c + c =, c + c = c =, c =. To find the maximum value

More information

Examination paper for TMA4125 Matematikk 4N

Examination paper for TMA4125 Matematikk 4N Department of Mathematical Sciences Examination paper for TMA45 Matematikk 4N Academic contact during examination: Anne Kværnø a, Louis-Philippe Thibault b Phone: a 9 66 38 4, b 9 3 0 95 Examination date:

More information

Math 54: Mock Final. December 11, y y 2y = cos(x) sin(2x). The auxiliary equation for the corresponding homogeneous problem is

Math 54: Mock Final. December 11, y y 2y = cos(x) sin(2x). The auxiliary equation for the corresponding homogeneous problem is Name: Solutions Math 54: Mock Final December, 25 Find the general solution of y y 2y = cos(x) sin(2x) The auxiliary equation for the corresponding homogeneous problem is r 2 r 2 = (r 2)(r + ) = r = 2,

More information

MA22S2 Lecture Notes on Fourier Series and Partial Differential Equations.

MA22S2 Lecture Notes on Fourier Series and Partial Differential Equations. MAS Lecture Notes on Fourier Series and Partial Differential Equations Joe Ó hógáin E-mail: johog@maths.tcd.ie Main Text: Kreyszig; Advanced Engineering Mathematics Other Texts: Nagle and Saff, Zill and

More information

Partial Differential Equations (PDEs)

Partial Differential Equations (PDEs) C H A P T E R Partial Differential Equations (PDEs) 5 A PDE is an equation that contains one or more partial derivatives of an unknown function that depends on at least two variables. Usually one of these

More information

كلية العلوم قسم الرياضيات المعادالت التفاضلية العادية

كلية العلوم قسم الرياضيات المعادالت التفاضلية العادية الجامعة اإلسالمية كلية العلوم غزة قسم الرياضيات المعادالت التفاضلية العادية Elementary differential equations and boundary value problems المحاضرون أ.د. رائد صالحة د. فاتن أبو شوقة 1 3 4 5 6 بسم هللا

More information

A Guided Tour of the Wave Equation

A Guided Tour of the Wave Equation A Guided Tour of the Wave Equation Background: In order to solve this problem we need to review some facts about ordinary differential equations: Some Common ODEs and their solutions: f (x) = 0 f(x) =

More information

Derivatives of Trig and Inverse Trig Functions

Derivatives of Trig and Inverse Trig Functions Derivatives of Trig and Inverse Trig Functions Math 102 Section 102 Mingfeng Qiu Nov. 28, 2018 Office hours I m planning to have additional office hours next week. Next Monday (Dec 3), which time works

More information

MA 201, Mathematics III, July-November 2018, Laplace Transform (Contd.)

MA 201, Mathematics III, July-November 2018, Laplace Transform (Contd.) MA 201, Mathematics III, July-November 2018, Laplace Transform (Contd.) Lecture 19 Lecture 19 MA 201, PDE (2018) 1 / 24 Application of Laplace transform in solving ODEs ODEs with constant coefficients

More information

22. Periodic Functions and Fourier Series

22. Periodic Functions and Fourier Series November 29, 2010 22-1 22. Periodic Functions and Fourier Series 1 Periodic Functions A real-valued function f(x) of a real variable is called periodic of period T > 0 if f(x + T ) = f(x) for all x R.

More information

MATH 391 Test 1 Fall, (1) (12 points each)compute the general solution of each of the following differential equations: = 4x 2y.

MATH 391 Test 1 Fall, (1) (12 points each)compute the general solution of each of the following differential equations: = 4x 2y. MATH 391 Test 1 Fall, 2018 (1) (12 points each)compute the general solution of each of the following differential equations: (a) (b) x dy dx + xy = x2 + y. (x + y) dy dx = 4x 2y. (c) yy + (y ) 2 = 0 (y

More information

UNIVERSITY OF SOUTHAMPTON

UNIVERSITY OF SOUTHAMPTON UNIVERSITY OF SOUTHAMPTON MATH03W SEMESTER EXAMINATION 0/ MATHEMATICS FOR ELECTRONIC & ELECTRICAL ENGINEERING Duration: 0 min This paper has two parts, part A and part B. Answer all questions from part

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS 1. Basic Terminology A differential equation is an equation that contains an unknown function together with one or more of its derivatives. 1 Examples: 1. y = 2x + cos x 2. dy dt

More information

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation.

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation. Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: y y x y2 = 0 : homogeneous equation. x2 v = y dy, y = vx, and x v + x dv dx = v + v2. dx =

More information

MA26600 FINAL EXAM INSTRUCTIONS December 13, You must use a #2 pencil on the mark sense sheet (answer sheet).

MA26600 FINAL EXAM INSTRUCTIONS December 13, You must use a #2 pencil on the mark sense sheet (answer sheet). MA266 FINAL EXAM INSTRUCTIONS December 3, 2 NAME INSTRUCTOR. You must use a #2 pencil on the mark sense sheet (answer sheet). 2. On the mark-sense sheet, fill in the instructor s name (if you do not know,

More information

dx n a 1(x) dy

dx n a 1(x) dy HIGHER ORDER DIFFERENTIAL EQUATIONS Theory of linear equations Initial-value and boundary-value problem nth-order initial value problem is Solve: a n (x) dn y dx n + a n 1(x) dn 1 y dx n 1 +... + a 1(x)

More information

Solutions to Exercises 8.1

Solutions to Exercises 8.1 Section 8. Partial Differential Equations in Physics and Engineering 67 Solutions to Exercises 8.. u xx +u xy u is a second order, linear, and homogeneous partial differential equation. u x (,y) is linear

More information

Homework 6 Math 309 Spring 2016

Homework 6 Math 309 Spring 2016 Homework 6 Math 309 Spring 2016 Due May 18th Name: Solution: KEY: Do not distribute! Directions: No late homework will be accepted. The homework can be turned in during class or in the math lounge in Pedelford

More information

Fourier and Partial Differential Equations

Fourier and Partial Differential Equations Chapter 5 Fourier and Partial Differential Equations 5.1 Fourier MATH 294 SPRING 1982 FINAL # 5 5.1.1 Consider the function 2x, 0 x 1. a) Sketch the odd extension of this function on 1 x 1. b) Expand the

More information

Ma 221 Final Exam Solutions 5/14/13

Ma 221 Final Exam Solutions 5/14/13 Ma 221 Final Exam Solutions 5/14/13 1. Solve (a) (8 pts) Solution: The equation is separable. dy dx exy y 1 y0 0 y 1e y dy e x dx y 1e y dy e x dx ye y e y dy e x dx ye y e y e y e x c The last step comes

More information

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016 Math 4B Notes Written by Victoria Kala vtkala@math.ucsb.edu SH 6432u Office Hours: T 2:45 :45pm Last updated 7/24/206 Classification of Differential Equations The order of a differential equation is the

More information

The two-dimensional heat equation

The two-dimensional heat equation The two-dimensional heat equation Ryan C. Trinity University Partial Differential Equations March 5, 015 Physical motivation Goal: Model heat flow in a two-dimensional object (thin plate. Set up: Represent

More information

Undamped Vibration of a Beam

Undamped Vibration of a Beam Undamped Vibration of a Beam Louie L. Yaw Walla Walla University Engineering Department PDE Class Presentation June 5, 2009 Problem - Undamped Transverse Beam Vibration +u p(x, t) 0 m(x), EI(x) +x V L

More information

Math 322. Spring 2015 Review Problems for Midterm 2

Math 322. Spring 2015 Review Problems for Midterm 2 Linear Algebra: Topic: Linear Independence of vectors. Question. Math 3. Spring Review Problems for Midterm Explain why if A is not square, then either the row vectors or the column vectors of A are linearly

More information

I have read and understood the instructions regarding academic dishonesty:

I have read and understood the instructions regarding academic dishonesty: Name Final Exam MATH 6600 SPRING 08 MARK TEST 0 ON YOUR SCANTRON! Student ID Section Number (see list below 03 UNIV 03 0:30am TR Alper, Onur 04 REC 3:30pm MWF Luo, Tao 05 UNIV 03 :30pm TR Hora, Raphael

More information

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section:

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section: MATH 251 Final Examination August 14, 2015 FORM A Name: Student Number: Section: This exam has 11 questions for a total of 150 points. Show all your work! In order to obtain full credit for partial credit

More information

Monday, 6 th October 2008

Monday, 6 th October 2008 MA211 Lecture 9: 2nd order differential eqns Monday, 6 th October 2008 MA211 Lecture 9: 2nd order differential eqns 1/19 Class test next week... MA211 Lecture 9: 2nd order differential eqns 2/19 This morning

More information

Problem 1. Use a line integral to find the plane area enclosed by the curve C: r = a cos 3 t i + b sin 3 t j (0 t 2π). Solution: We assume a > b > 0.

Problem 1. Use a line integral to find the plane area enclosed by the curve C: r = a cos 3 t i + b sin 3 t j (0 t 2π). Solution: We assume a > b > 0. MATH 64: FINAL EXAM olutions Problem 1. Use a line integral to find the plane area enclosed by the curve C: r = a cos 3 t i + b sin 3 t j ( t π). olution: We assume a > b >. A = 1 π (xy yx )dt = 3ab π

More information

ENGI 9420 Lecture Notes 1 - ODEs Page 1.01

ENGI 9420 Lecture Notes 1 - ODEs Page 1.01 ENGI 940 Lecture Notes - ODEs Page.0. Ordinary Differential Equations An equation involving a function of one independent variable and the derivative(s) of that function is an ordinary differential equation

More information

Solution: APPM 1350 Final Exam Spring 2014

Solution: APPM 1350 Final Exam Spring 2014 APPM 135 Final Exam Spring 214 1. (a) (5 pts. each) Find the following derivatives, f (x), for the f given: (a) f(x) = x 2 sin 1 (x 2 ) (b) f(x) = 1 1 + x 2 (c) f(x) = x ln x (d) f(x) = x x d (b) (15 pts)

More information

Review Sol. of More Long Answer Questions

Review Sol. of More Long Answer Questions Review Sol. of More Long Answer Questions 1. Solve the integro-differential equation t y (t) e t v y(v)dv = t; y()=. (1) Solution. The key is to recognize the convolution: t e t v y(v) dv = e t y. () Now

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordinary Differential Equations for Engineers and Scientists Gregg Waterman Oregon Institute of Technology c 2017 Gregg Waterman This work is licensed under the Creative Commons Attribution 4.0 International

More information

Introduction and preliminaries

Introduction and preliminaries Chapter Introduction and preliminaries Partial differential equations What is a partial differential equation? ODEs Ordinary Differential Equations) have one variable x). PDEs Partial Differential Equations)

More information

Assignment # 7, Math 370, Fall 2018 SOLUTIONS: y = e x. y = e 3x + 4xe 3x. y = e x cosx.

Assignment # 7, Math 370, Fall 2018 SOLUTIONS: y = e x. y = e 3x + 4xe 3x. y = e x cosx. Assignment # 7, Math 370, Fall 2018 SOLUTIONS: Problem 1: Solve the equations (a) y 8y + 7y = 0, (i) y(0) = 1, y (0) = 1. Characteristic equation: α 2 8α+7 = 0, = 64 28 = 36 so α 1,2 = (8 ±6)/2 and α 1

More information

Math 308 Week 8 Solutions

Math 308 Week 8 Solutions Math 38 Week 8 Solutions There is a solution manual to Chapter 4 online: www.pearsoncustom.com/tamu math/. This online solutions manual contains solutions to some of the suggested problems. Here are solutions

More information

Partial Differential Equations

Partial Differential Equations Partial Differential Equations Xu Chen Assistant Professor United Technologies Engineering Build, Rm. 382 Department of Mechanical Engineering University of Connecticut xchen@engr.uconn.edu Contents 1

More information

I II III IV V VI VII VIII IX Total

I II III IV V VI VII VIII IX Total DEPARTMENT OF MATHEMATICS AND STATISTICS QUEEN S UNIVERSITY AT KINGSTON MATH 121 - DEC 2014 CDS/Section 700 Students ONLY INSTRUCTIONS: Answer all questions, writing clearly in the space provided. If you

More information

Lecture6. Partial Differential Equations

Lecture6. Partial Differential Equations EP219 ecture notes - prepared by- Assoc. Prof. Dr. Eser OĞAR 2012-Spring ecture6. Partial Differential Equations 6.1 Review of Differential Equation We have studied the theoretical aspects of the solution

More information

E2.5 Signals & Linear Systems. Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & 2)

E2.5 Signals & Linear Systems. Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & 2) E.5 Signals & Linear Systems Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & ) 1. Sketch each of the following continuous-time signals, specify if the signal is periodic/non-periodic,

More information

Ordinary differential equations

Ordinary differential equations Class 11 We will address the following topics Convolution of functions Consider the following question: Suppose that u(t) has Laplace transform U(s), v(t) has Laplace transform V(s), what is the inverse

More information

Introduction to Differential Equations

Introduction to Differential Equations Chapter 1 Introduction to Differential Equations 1.1 Basic Terminology Most of the phenomena studied in the sciences and engineering involve processes that change with time. For example, it is well known

More information

TMA4120, Matematikk 4K, Fall Date Section Topic HW Textbook problems Suppl. Answers. Sept 12 Aug 31/

TMA4120, Matematikk 4K, Fall Date Section Topic HW Textbook problems Suppl. Answers. Sept 12 Aug 31/ TMA420, Matematikk 4K, Fall 206 LECTURE SCHEDULE AND ASSIGNMENTS Date Section Topic HW Textbook problems Suppl Answers Aug 22 6 Laplace transform 6:,7,2,2,22,23,25,26,4 A Sept 5 Aug 24/25 62-3 ODE, Heaviside

More information

20.5. The Convolution Theorem. Introduction. Prerequisites. Learning Outcomes

20.5. The Convolution Theorem. Introduction. Prerequisites. Learning Outcomes The Convolution Theorem 2.5 Introduction In this Section we introduce the convolution of two functions f(t), g(t) which we denote by (f g)(t). The convolution is an important construct because of the convolution

More information

Find the Fourier series of the odd-periodic extension of the function f (x) = 1 for x ( 1, 0). Solution: The Fourier series is.

Find the Fourier series of the odd-periodic extension of the function f (x) = 1 for x ( 1, 0). Solution: The Fourier series is. Review for Final Exam. Monday /09, :45-:45pm in CC-403. Exam is cumulative, -4 problems. 5 grading attempts per problem. Problems similar to homeworks. Integration and LT tables provided. No notes, no

More information

Math Assignment 14

Math Assignment 14 Math 2280 - Assignment 14 Dylan Zwick Spring 2014 Section 9.5-1, 3, 5, 7, 9 Section 9.6-1, 3, 5, 7, 14 Section 9.7-1, 2, 3, 4 1 Section 9.5 - Heat Conduction and Separation of Variables 9.5.1 - Solve the

More information

Calculus Problem Sheet Prof Paul Sutcliffe. 2. State the domain and range of each of the following functions

Calculus Problem Sheet Prof Paul Sutcliffe. 2. State the domain and range of each of the following functions f( 8 6 4 8 6-3 - - 3 4 5 6 f(.9.8.7.6.5.4.3.. -4-3 - - 3 f( 7 6 5 4 3-3 - - Calculus Problem Sheet Prof Paul Sutcliffe. By applying the vertical line test, or otherwise, determine whether each of the following

More information

Exercises involving elementary functions

Exercises involving elementary functions 017:11:0:16:4:09 c M K Warby MA3614 Complex variable methods and applications 1 Exercises involving elementary functions 1 This question was in the class test in 016/7 and was worth 5 marks a) Let z +

More information

Ordinary Differential Equations (ODEs)

Ordinary Differential Equations (ODEs) Chapter 13 Ordinary Differential Equations (ODEs) We briefly review how to solve some of the most standard ODEs. 13.1 First Order Equations 13.1.1 Separable Equations A first-order ordinary differential

More information

GATE EE Topic wise Questions SIGNALS & SYSTEMS

GATE EE Topic wise Questions SIGNALS & SYSTEMS www.gatehelp.com GATE EE Topic wise Questions YEAR 010 ONE MARK Question. 1 For the system /( s + 1), the approximate time taken for a step response to reach 98% of the final value is (A) 1 s (B) s (C)

More information

Separation of variables

Separation of variables Separation of variables Idea: Transform a PDE of 2 variables into a pair of ODEs Example : Find the general solution of u x u y = 0 Step. Assume that u(x,y) = G(x)H(y), i.e., u can be written as the product

More information

Lecture 19: Heat conduction with distributed sources/sinks

Lecture 19: Heat conduction with distributed sources/sinks Introductory lecture notes on Partial Differential Equations - c Anthony Peirce. Not to be copied, used, or revised without explicit written permission from the copyright owner. 1 ecture 19: Heat conduction

More information

(1) Let f(z) be the principal branch of z 4i. (a) Find f(i). Solution. f(i) = exp(4i Log(i)) = exp(4i(π/2)) = e 2π. (b) Show that

(1) Let f(z) be the principal branch of z 4i. (a) Find f(i). Solution. f(i) = exp(4i Log(i)) = exp(4i(π/2)) = e 2π. (b) Show that Let fz be the principal branch of z 4i. a Find fi. Solution. fi = exp4i Logi = exp4iπ/2 = e 2π. b Show that fz fz 2 fz z 2 fz fz 2 = λfz z 2 for all z, z 2 0, where λ =, e 8π or e 8π. Proof. We have =

More information

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx.

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx. Problem set 3: Solutions Math 27B, Winter 216 1. Suppose that u(x) is a non-zero solution of the eigenvalue problem u = λu < x < 1, u() =, u(1) =. Show that λ = (u ) 2 dx u2 dx. Deduce that every eigenvalue

More information

MATH 251 Final Examination August 10, 2011 FORM A. Name: Student Number: Section:

MATH 251 Final Examination August 10, 2011 FORM A. Name: Student Number: Section: MATH 251 Final Examination August 10, 2011 FORM A Name: Student Number: Section: This exam has 10 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all work

More information

MA 262 Spring 1993 FINAL EXAM INSTRUCTIONS. 1. You must use a #2 pencil on the mark sense sheet (answer sheet).

MA 262 Spring 1993 FINAL EXAM INSTRUCTIONS. 1. You must use a #2 pencil on the mark sense sheet (answer sheet). MA 6 Spring 993 FINAL EXAM INSTRUCTIONS NAME. You must use a # pencil on the mark sense sheet (answer sheet).. On the mark sense sheet, fill in the instructor s name and the course number. 3. Fill in your

More information

student id: MATH 202 FINAL EXAM SOLUTION KEY total 20 pts 20 pts 20 pts 20 pts 20 pts 25 pts 25 pts 150 pts

student id: MATH 202 FINAL EXAM SOLUTION KEY total 20 pts 20 pts 20 pts 20 pts 20 pts 25 pts 25 pts 150 pts Date: January 5, 4 name, surname: Time: 9:-:3 math number: student id: MATH FINAL EXAM SOLUTION KEY IMPORTANT. Write your name, surname on top of each page.. The exam consists of 7 questions some of which

More information

Method of Separation of Variables

Method of Separation of Variables MODUE 5: HEAT EQUATION 11 ecture 3 Method of Separation of Variables Separation of variables is one of the oldest technique for solving initial-boundary value problems (IBVP) and applies to problems, where

More information

The Fourier series for a 2π-periodic function

The Fourier series for a 2π-periodic function The Fourier series for a 2π-periodic function Let f : ( π, π] R be a bounded piecewise continuous function which we continue to be a 2π-periodic function defined on R, i.e. f (x + 2π) = f (x), x R. The

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS Basic Terminology A differential equation is an equation that contains an unknown function together with one or more of its derivatives. 1 Examples: 1. y = 2x + cos x 2. dy dt =

More information

F(p) y + 3y + 2y = δ(t a) y(0) = 0 and y (0) = 0.

F(p) y + 3y + 2y = δ(t a) y(0) = 0 and y (0) = 0. Page 5- Chater 5: Lalace Transforms The Lalace Transform is a useful tool that is used to solve many mathematical and alied roblems. In articular, the Lalace transform is a technique that can be used to

More information

Fourier transforms. c n e inπx. f (x) = Write same thing in an equivalent form, using n = 1, f (x) = l π

Fourier transforms. c n e inπx. f (x) = Write same thing in an equivalent form, using n = 1, f (x) = l π Fourier transforms We can imagine our periodic function having periodicity taken to the limits ± In this case, the function f (x) is not necessarily periodic, but we can still use Fourier transforms (related

More information

MATH 251 Examination II April 3, 2017 FORM A. Name: Student Number: Section:

MATH 251 Examination II April 3, 2017 FORM A. Name: Student Number: Section: MATH 251 Examination II April 3, 2017 FORM A Name: Student Number: Section: This exam has 12 questions for a total of 100 points. In order to obtain full credit for partial credit problems, all work must

More information

MA 242 Review Exponential and Log Functions Notes for today s class can be found at

MA 242 Review Exponential and Log Functions Notes for today s class can be found at MA 242 Review Exponential and Log Functions Notes for today s class can be found at www.xecu.net/jacobs/index242.htm Example: If y = x n If y = x 2 then then dy dx = nxn 1 dy dx = 2x1 = 2x Power Function

More information

3.3. SYSTEMS OF ODES 1. y 0 " 2y" y 0 + 2y = x1. x2 x3. x = y(t) = c 1 e t + c 2 e t + c 3 e 2t. _x = A x + f; x(0) = x 0.

3.3. SYSTEMS OF ODES 1. y 0  2y y 0 + 2y = x1. x2 x3. x = y(t) = c 1 e t + c 2 e t + c 3 e 2t. _x = A x + f; x(0) = x 0. .. SYSTEMS OF ODES. Systems of ODEs MATH 94 FALL 98 PRELIM # 94FA8PQ.tex.. a) Convert the third order dierential equation into a rst oder system _x = A x, with y " y" y + y = x = @ x x x b) The equation

More information

Department of Mathematics. MA 108 Ordinary Differential Equations

Department of Mathematics. MA 108 Ordinary Differential Equations Department of Mathematics Indian Institute of Technology, Bombay Powai, Mumbai 476, INDIA. MA 8 Ordinary Differential Equations Autumn 23 Instructor Santanu Dey Name : Roll No : Syllabus and Course Outline

More information

Variation of Parameters

Variation of Parameters Variation of Parameters James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University April 13, 218 Outline Variation of Parameters Example One We eventually

More information

MA 266 Review Topics - Exam # 2 (updated)

MA 266 Review Topics - Exam # 2 (updated) MA 66 Reiew Topics - Exam # updated Spring First Order Differential Equations Separable, st Order Linear, Homogeneous, Exact Second Order Linear Homogeneous with Equations Constant Coefficients The differential

More information

MAT187H1F Lec0101 Burbulla

MAT187H1F Lec0101 Burbulla Spring 2017 Second Order Linear Homogeneous Differential Equation DE: A(x) d 2 y dx 2 + B(x)dy dx + C(x)y = 0 This equation is called second order because it includes the second derivative of y; it is

More information

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder.

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder. Lent 29 COMPLEX METHODS G. Taylor A star means optional and not necessarily harder. Conformal maps. (i) Let f(z) = az + b, with ad bc. Where in C is f conformal? cz + d (ii) Let f(z) = z +. What are the

More information

Babu Banarasi Das Northern India Institute of Technology, Lucknow

Babu Banarasi Das Northern India Institute of Technology, Lucknow Babu Banarasi Das Northern India Institute of Technology, Lucknow B.Tech Second Semester Academic Session: 2012-13 Question Bank Maths II (EAS -203) Unit I: Ordinary Differential Equation 1-If dy/dx +

More information

Green s Theorem. Fundamental Theorem for Conservative Vector Fields

Green s Theorem. Fundamental Theorem for Conservative Vector Fields Assignment - Mathematics 4(Model Answer) onservative vector field and Green theorem onservative Vector Fields If F = φ, for some differentiable function φ in a domaind, then we say that F is conservative

More information

Mathematics of Physics and Engineering II: Homework answers You are encouraged to disagree with everything that follows. P R and i j k 2 1 1

Mathematics of Physics and Engineering II: Homework answers You are encouraged to disagree with everything that follows. P R and i j k 2 1 1 Mathematics of Physics and Engineering II: Homework answers You are encouraged to disagree with everything that follows Homework () P Q = OQ OP =,,,, =,,, P R =,,, P S = a,, a () The vertex of the angle

More information

The dependence of the cross-sectional shape on the hydraulic resistance of microchannels

The dependence of the cross-sectional shape on the hydraulic resistance of microchannels 3-weeks course report, s0973 The dependence of the cross-sectional shape on the hydraulic resistance of microchannels Hatim Azzouz a Supervisor: Niels Asger Mortensen and Henrik Bruus MIC Department of

More information

12.7 Heat Equation: Modeling Very Long Bars.

12.7 Heat Equation: Modeling Very Long Bars. 568 CHAP. Partial Differential Equations (PDEs).7 Heat Equation: Modeling Very Long Bars. Solution by Fourier Integrals and Transforms Our discussion of the heat equation () u t c u x in the last section

More information

x(t) = t[u(t 1) u(t 2)] + 1[u(t 2) u(t 3)]

x(t) = t[u(t 1) u(t 2)] + 1[u(t 2) u(t 3)] ECE30 Summer II, 2006 Exam, Blue Version July 2, 2006 Name: Solution Score: 00/00 You must show all of your work for full credit. Calculators may NOT be used.. (5 points) x(t) = tu(t ) + ( t)u(t 2) u(t

More information

Math 113 Fall 2005 key Departmental Final Exam

Math 113 Fall 2005 key Departmental Final Exam Math 3 Fall 5 key Departmental Final Exam Part I: Short Answer and Multiple Choice Questions Do not show your work for problems in this part.. Fill in the blanks with the correct answer. (a) The integral

More information

Lecture 10. (2) Functions of two variables. Partial derivatives. Dan Nichols February 27, 2018

Lecture 10. (2) Functions of two variables. Partial derivatives. Dan Nichols February 27, 2018 Lecture 10 Partial derivatives Dan Nichols nichols@math.umass.edu MATH 233, Spring 2018 University of Massachusetts February 27, 2018 Last time: functions of two variables f(x, y) x and y are the independent

More information

Special Mathematics Laplace Transform

Special Mathematics Laplace Transform Special Mathematics Laplace Transform March 28 ii Nature laughs at the difficulties of integration. Pierre-Simon Laplace 4 Laplace Transform Motivation Properties of the Laplace transform the Laplace transform

More information