AB2.14: Heat Equation: Solution by Fourier Series
|
|
- Job Norris
- 7 years ago
- Views:
Transcription
1 AB2.14: Heat Equation: Solution by Fourier Series Consider the boundary value problem for the one-dimensional heat equation describing the temperature variation in a bar with the zero-temperature ends: = t c2 2 u x 2, u = u(x, t), t >, < x <, u(x, ) = f(x), (1) u(, t) =, u(, t) =, t. The solution is determined by the separation of variables (the Fourier method): u(x, t) = F (x)g(t). Then t = F 2 u G, x = F G 2 Substituting this into one-dimensional heat equation and separating variables, G F G = c 2 F G c 2 G = F = const = p2 F we obtain the differential equations for G(t) and F (x) G + c 2 p 2 G =, Satisfy the boundary conditions: F + p 2 F =. u(, t) = F ()G(t) =, u(, t) = F ()G(t) =, t. Thus, The general solution for F is F () =, F () =. F = A cos px + B sin px. and which yields F () = : A = ; F () = : B sin p = sin p = (B ) p = nπ, p = p n = nπ (n = 1, 2,...). F = F n = sin p n x = sin nπ x (n = 1, 2,...). The equation for G becomes G + λ 2 ng =,.
2 The general solution of this equation is G(t) = G n (t) = B n e λ2 nt (n = 1, 2,...). Hence the solutions of satisfying are t = 2 u c2 x, 2 < x < u(, t) =, u(, t) =, t. u n (x, t) = F n (x)g n (t) = B n e λ2nt sin nπ x (n = 1, 2,...). These functions are called eigenfunctions and are called eigenvalues. Now we can solve the entire problem by setting Satisfy the initial conditions: u(x, t) = u n (x, t) = B n e λ2nt sin nπ x. u(x, ) = B n sin nπ x = f(x). Thus, B n = 2 f(x) sin nπ xdx, n = 1, 2,.... EXAMPE 1 Sinusoidal initial temperature. Find the solution to the boundary value problem (1) for the one-dimensional heat equation with the initial temperature f(x) = 1 sin π 8 x. Solution. Satisfy the initial conditions: Then the solution is u(x, ) = B n sin nπ 8 x = f(x) = 1 sin π 8 x. λ n = λ 1 = cπ 8. u(x, t) = u n (x, t) = B 1 e λ2 1 t sin π 8 x = 1e λ2 1 t sin π 8 x.
3 EXAMPE 2 Triangular initial temperature in a bar. Find the solution to the boundary value problem (1) for the one-dimensional heat equation with the triangular initial temperature f(x) = Solution. Satisfy the initial conditions: { x if < x < /2, x if /2 < x <. u(x, ) = B n sin nπ x = f(x). For the odd periodic extension of f(x) the Fourier coefficients are B n = 2 f(x) sin nπ xdx = 2 ( /2 x sin nπ xdx + ( x) sin nπ ) /2 xdx = 2 nπ x cos nπ x /2 2 nπ ( x) cos nπ x + 2 /2 cos nπ nπ xdx /2 2 cos nπ nπ /2 xdx = πn cos nπ π 2 n 2 sin nπ 2 + πn cos nπ π 2 n 2 sin nπ 2 = (1) 4 n 2 π 2 sin nπ 2 = 4 (2l 1) 2 π 2 ( 1)l+1 = 4 ( 1) l+1 π (2l 1) = 2 We have and the solution is u(x, t) = { 4 u n (x, t) = 4 π 2 n 2 π 2 if n = 1, 5, 9,..., 4 n 2 π 2 if n = 3, 7, 11,...., ( sin π ( cπ xe ) 2t 1 9 sin 3π ( 3cπ xe ) 2t ) EXAMPE 3 A bar with insulated ends. Find the solution to the boundary value problem for the one-dimensional heat equation = t c2 2 u x 2, u = u(x, t), t >, < x <, u(x, ) = f(x), (1) u x (, t) =, u x (, t) =, t.
4 Solution. The solution is determined by the Fourier method: u(x, t) = F (x)g(t). Then t = F G, 2 u x 2 = F G, G + c 2 p 2 G =, Satisfy the boundary conditions: F + p 2 F =. u x (, t) = F ()G(t) =, u x (, t) = F ()G(t) =, t. Thus, The general solution for F is F x () =, F x () =. F = A cos px + B sin px. and which yields F () = : B = ; F () = : Ap sin p = sin p = (A ) p = p n = nπ F = F n = cos nπ (n = 1, 2,...). x (n = 1, 2,...). The solution for G is G(t) = G n (t) = A n e λ2 nt (n = 1, 2,...). Hence the solutions of satisfying are t = 2 u c2 x, 2 < x < u x (, t) =, u x (, t) =, t. u n (x, t) = F n (x)g n (t) = A n e λ2 n t cos nπ x (n = 1, 2,...). These functions are eigenfunctions and are eigenvalues.
5 Now we can solve the entire problem by setting u(x, t) = u n (x, t) = A n e λ2nt cos nπ x. n= n= Satisfy the initial conditions: u(x, ) = A n cos nπ x = f(x). Thus, A = 1 f(x)dx, A n = 2 f(x) cos nπ xdx, n = 1, 2,.... EXAMPE 4 Triangular initial temperature in a bar with insulated ends. Find the solution to the boundary value problem for the one-dimensional heat equation in a bar with insulated ends = t c2 2 u with the triangular initial temperature x 2, u = u(x, t), t >, < x <, u(x, ) = f(x), (1) u x (, t) =, u x (, t) =, t. f(x) = { x if < x < /2, x if /2 < x <. Solution. Satisfy the initial conditions: u(x, ) = A n cos nπ x = f(x). For the even periodic extension of f(x) the Fourier coefficients are A = 1 f(x)dx = 1 ( /2 ) xdx + ( x)dx = /2 4 ; A n = 2 f(x) cos nπ xdx = 2 ( /2 x cos nπ xdx + ( x) cos nπ ) /2 xdx = 2 nπ x sin nπ x /2 2 nπ ( x) sin nπ x 2 /2 sin nπ nπ xdx+ /2 + 2 sin nπ nπ /2 xdx = πn sin nπ π 2 n (cos nπ 2 2 1) πn sin nπ π 2 n (cos nπ 2 2 cos nπ) = (2)
6 We have and the solution is u(x, t) = n= u n (x, t) = 4 8 π 2 2 (2 cos nπ ) n 2 π 2 2 cos nπ 1., ( 1 2 cos 2π ( 2cπ 2 xe ) 2t cos 6π ( 6cπ 2 xe ) 2t ] The boundary value problem for the two-dimensional wave equation Consider the boundary value problem describing vibrations of a planar rectangular membrane fixed at its edges and excited by means of a certain initial displacement with a given initial velocity: u tt = a 2 u, u = u(x, y, t), t >, < x < a, < y < b, u(x, y, ) = ϕ(x, y) u t (x, y, ) = ψ(x, y) (1) u(, y, t) =, u(a, y, t) =, u(x,, t) =, u(x, b, t) =, t. The partial differential equation in (1) is called the two-dimensional wave equation. Here, u t = t, u tt = 2 u t 2, u = 2 u x u y 2. The solution is determined by the separation of variables (the Fourier method): u(x, y, t) = v(x, y)t (t). Substituting this into the differential equation in (1) we obtain the equation for T (t) T + a 2 λt = (11), and the equation and the boundary value problem for v(x, y) v xx + v yy + λv =, < x < a, < y < b v(, y) =, v(a, y) = (12) v(x, ) =, v(x, b) = The solution v(x, y) of (12) is also determined by the separation of variables v(x, y) = X(x)Y (y). Substituting this into the differential equation in (12) we obtain the equations and the boundary value problems for X(x) and Y (y) { X + νx =, < x < a X() =, X(a) = (13);
7 { Y + µy =, < y < b Y () =, Y (b) = (14); Here µ and ν are number parameters such that µ + ν = λ. v. (13) and (14) are called the Sturm iouville eigenvalue problems. We have X n (x) = sin nπ a x, ν n = ( nπ a )2 ; Y m (y) = sin mπ b y, λ = ( nπ a )2 + ( mπ b )2 v n,m = A n,m sin nπ a µ m = ( mπ b )2. x sin mπ b y. Coefficients A n,m A n,m are determined from the orthogonality conditions Finally, and where a b The solution to (1) is u(x, y, t) = v 2 n,mdxdy = A 2 n,m v n,m (x, y) = m=1 a (C n,m cos A n,m = sin 2 nπ a xdx b 4 ab, 4 ab sin nπ a x sin mπ b y. λ n,m at + D n,m sin sin 2 mπ ydy = 1. b λ n,m at)v n,m (x, y), C n,m = a b = 4 ab ϕ(x, y)v n,m (x, y)dxdy = a b ϕ(x, y) sin nπ a x sin mπ b ydxdy, D n,m = 1 a2 λ n,m 4 ab a b ψ(x, y) sin nπ a x sin mπ b ydxdy.
8 PROBEM Find the solution to the boundary value problem (1) for the one-dimensional heat equation with the given c and the initial temperature f(x) = sin.1πx. Solution. We have f(x) = sin.1πx = sin π 1 x. Thus = 1. Satisfy the initial conditions: Then the solution is u(x, ) = B n sin nπ x = f(x) = sin.1πx. λ n = λ 1 = cπ 1. For the data of the problem, u(x, t) = u n (x, t) = B 1 e λ2 1 t sin π 1 x = e λ2 1 t sin π 1 x. c 2 = K σρ = =
1 Completeness of a Set of Eigenfunctions. Lecturer: Naoki Saito Scribe: Alexander Sheynis/Allen Xue. May 3, 2007. 1.1 The Neumann Boundary Condition
MAT 280: Laplacian Eigenfunctions: Theory, Applications, and Computations Lecture 11: Laplacian Eigenvalue Problems for General Domains III. Completeness of a Set of Eigenfunctions and the Justification
More informationNumerical Methods for Differential Equations
Numerical Methods for Differential Equations Course objectives and preliminaries Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the Numerical Analysis
More informationThe two dimensional heat equation
The two dimensional heat equation Ryan C. Trinity University Partial Differential Equations March 6, 2012 Physical motivation Consider a thin rectangular plate made of some thermally conductive material.
More informationtegrals as General & Particular Solutions
tegrals as General & Particular Solutions dy dx = f(x) General Solution: y(x) = f(x) dx + C Particular Solution: dy dx = f(x), y(x 0) = y 0 Examples: 1) dy dx = (x 2)2 ;y(2) = 1; 2) dy ;y(0) = 0; 3) dx
More informationMath 432 HW 2.5 Solutions
Math 432 HW 2.5 Solutions Assigned: 1-10, 12, 13, and 14. Selected for Grading: 1 (for five points), 6 (also for five), 9, 12 Solutions: 1. (2y 3 + 2y 2 ) dx + (3y 2 x + 2xy) dy = 0. M/ y = 6y 2 + 4y N/
More informationSecond Order Linear Partial Differential Equations. Part I
Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction
More informationThe one dimensional heat equation: Neumann and Robin boundary conditions
The one dimensional heat equation: Neumann and Robin boundary conditions Ryan C. Trinity University Partial Differential Equations February 28, 2012 with Neumann boundary conditions Our goal is to solve:
More informationCalculus 1: Sample Questions, Final Exam, Solutions
Calculus : Sample Questions, Final Exam, Solutions. Short answer. Put your answer in the blank. NO PARTIAL CREDIT! (a) (b) (c) (d) (e) e 3 e Evaluate dx. Your answer should be in the x form of an integer.
More informationCollege of the Holy Cross, Spring 2009 Math 373, Partial Differential Equations Midterm 1 Practice Questions
College of the Holy Cross, Spring 29 Math 373, Partial Differential Equations Midterm 1 Practice Questions 1. (a) Find a solution of u x + u y + u = xy. Hint: Try a polynomial of degree 2. Solution. Use
More information1 The 1-D Heat Equation
The 1-D Heat Equation 18.303 Linear Partial Differential Equations Matthew J. Hancock Fall 006 1 The 1-D Heat Equation 1.1 Physical derivation Reference: Guenther & Lee 1.3-1.4, Myint-U & Debnath.1 and.5
More informationThe Heat Equation. Lectures INF2320 p. 1/88
The Heat Equation Lectures INF232 p. 1/88 Lectures INF232 p. 2/88 The Heat Equation We study the heat equation: u t = u xx for x (,1), t >, (1) u(,t) = u(1,t) = for t >, (2) u(x,) = f(x) for x (,1), (3)
More informationarxiv:1201.6059v2 [physics.class-ph] 27 Aug 2012
Green s functions for Neumann boundary conditions Jerrold Franklin Department of Physics, Temple University, Philadelphia, PA 19122-682 arxiv:121.659v2 [physics.class-ph] 27 Aug 212 (Dated: August 28,
More informationIntroduction to Schrödinger Equation: Harmonic Potential
Introduction to Schrödinger Equation: Harmonic Potential Chia-Chun Chou May 2, 2006 Introduction to Schrödinger Equation: Harmonic Potential Time-Dependent Schrödinger Equation For a nonrelativistic particle
More informationSection 6.1 Joint Distribution Functions
Section 6.1 Joint Distribution Functions We often care about more than one random variable at a time. DEFINITION: For any two random variables X and Y the joint cumulative probability distribution function
More informationIntroduction to Partial Differential Equations By Gilberto E. Urroz, September 2004
Introduction to Partial Differential Equations By Gilberto E. Urroz, September 2004 This chapter introduces basic concepts and definitions for partial differential equations (PDEs) and solutions to a variety
More informationLecture 25: More Rectangular Domains: Neumann Problems, mixed BC, and semi-infinite strip problems
Introductory lecture notes on Prtil ifferentil Equtions - y Anthony Peirce UBC 1 Lecture 5: More Rectngulr omins: Neumnn Prolems, mixed BC, nd semi-infinite strip prolems Compiled 6 Novemer 13 In this
More informationAn Introduction to Partial Differential Equations
An Introduction to Partial Differential Equations Andrew J. Bernoff LECTURE 2 Cooling of a Hot Bar: The Diffusion Equation 2.1. Outline of Lecture An Introduction to Heat Flow Derivation of the Diffusion
More information5.4 The Heat Equation and Convection-Diffusion
5.4. THE HEAT EQUATION AND CONVECTION-DIFFUSION c 6 Gilbert Strang 5.4 The Heat Equation and Convection-Diffusion The wave equation conserves energy. The heat equation u t = u xx dissipates energy. The
More informationProperties of Legendre Polynomials
Chapter C Properties of Legendre Polynomials C Definitions The Legendre Polynomials are the everywhere regular solutions of Legendre s Equation, which are possible only if x 2 )u 2xu + mu = x 2 )u ] +
More informationCHAPTER 2. Eigenvalue Problems (EVP s) for ODE s
A SERIES OF CLASS NOTES FOR 005-006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 4 A COLLECTION OF HANDOUTS ON PARTIAL DIFFERENTIAL EQUATIONS
More information1. First-order Ordinary Differential Equations
Advanced Engineering Mathematics 1. First-order ODEs 1 1. First-order Ordinary Differential Equations 1.1 Basic concept and ideas 1.2 Geometrical meaning of direction fields 1.3 Separable differential
More informationAn Introduction to Partial Differential Equations in the Undergraduate Curriculum
An Introduction to Partial Differential Equations in the Undergraduate Curriculum J. Tolosa & M. Vajiac LECTURE 11 Laplace s Equation in a Disk 11.1. Outline of Lecture The Laplacian in Polar Coordinates
More informationElementary Differential Equations and Boundary Value Problems. 10th Edition International Student Version
Brochure More information from http://www.researchandmarkets.com/reports/3148843/ Elementary Differential Equations and Boundary Value Problems. 10th Edition International Student Version Description:
More informationf x a 0 n 1 a 0 a 1 cos x a 2 cos 2x a 3 cos 3x b 1 sin x b 2 sin 2x b 3 sin 3x a n cos nx b n sin nx n 1 f x dx y
Fourier Series When the French mathematician Joseph Fourier (768 83) was tring to solve a problem in heat conduction, he needed to epress a function f as an infinite series of sine and cosine functions:
More informationSystems with Persistent Memory: the Observation Inequality Problems and Solutions
Chapter 6 Systems with Persistent Memory: the Observation Inequality Problems and Solutions Facts that are recalled in the problems wt) = ut) + 1 c A 1 s ] R c t s)) hws) + Ks r)wr)dr ds. 6.1) w = w +
More informationNumerical Methods for Differential Equations
Numerical Methods for Differential Equations Chapter 1: Initial value problems in ODEs Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the Numerical
More informationSeries FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis
Series FOURIER SERIES Graham S McDonald A self-contained Tutorial Module for learning the technique of Fourier series analysis Table of contents Begin Tutorial c 004 g.s.mcdonald@salford.ac.uk 1. Theory.
More informationHeat Kernel Signature
INTODUCTION Heat Kernel Signature Thomas Hörmann Informatics - Technische Universität ünchen Abstract Due to the increasing computational power and new low cost depth cameras the analysis of 3D shapes
More informationMath 265 (Butler) Practice Midterm II B (Solutions)
Math 265 (Butler) Practice Midterm II B (Solutions) 1. Find (x 0, y 0 ) so that the plane tangent to the surface z f(x, y) x 2 + 3xy y 2 at ( x 0, y 0, f(x 0, y 0 ) ) is parallel to the plane 16x 2y 2z
More informationLecture Notes on PDE s: Separation of Variables and Orthogonality
Lecture Notes on PDE s: Separation of Variables and Orthogonality Richard H. Rand Dept. Theoretical & Applied Mechanics Cornell University Ithaca NY 14853 rhr2@cornell.edu http://audiophile.tam.cornell.edu/randdocs/
More informationSOLUTIONS. f x = 6x 2 6xy 24x, f y = 3x 2 6y. To find the critical points, we solve
SOLUTIONS Problem. Find the critical points of the function f(x, y = 2x 3 3x 2 y 2x 2 3y 2 and determine their type i.e. local min/local max/saddle point. Are there any global min/max? Partial derivatives
More informationNUMERICAL ANALYSIS PROGRAMS
NUMERICAL ANALYSIS PROGRAMS I. About the Program Disk This disk included with Numerical Analysis, Seventh Edition by Burden and Faires contains a C, FORTRAN, Maple, Mathematica, MATLAB, and Pascal program
More informationTwo-Dimensional Conduction: Shape Factors and Dimensionless Conduction Heat Rates
Two-Dimensional Conduction: Shape Factors and Dimensionless Conduction Heat Rates Chapter 4 Sections 4.1 and 4.3 make use of commercial FEA program to look at this. D Conduction- General Considerations
More informationThe Quantum Harmonic Oscillator Stephen Webb
The Quantum Harmonic Oscillator Stephen Webb The Importance of the Harmonic Oscillator The quantum harmonic oscillator holds a unique importance in quantum mechanics, as it is both one of the few problems
More informationMATH 425, PRACTICE FINAL EXAM SOLUTIONS.
MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator
More informationInverse Functions and Logarithms
Section 3. Inverse Functions and Logarithms 1 Kiryl Tsishchanka Inverse Functions and Logarithms DEFINITION: A function f is called a one-to-one function if it never takes on the same value twice; that
More informationChapter 9 Partial Differential Equations
363 One must learn by doing the thing; though you think you know it, you have no certainty until you try. Sophocles (495-406)BCE Chapter 9 Partial Differential Equations A linear second order partial differential
More information1 3 4 = 8i + 20j 13k. x + w. y + w
) Find the point of intersection of the lines x = t +, y = 3t + 4, z = 4t + 5, and x = 6s + 3, y = 5s +, z = 4s + 9, and then find the plane containing these two lines. Solution. Solve the system of equations
More informationNumerical Analysis Lecture Notes
Numerical Analysis Lecture Notes Peter J. Olver. Finite Difference Methods for Partial Differential Equations As you are well aware, most differential equations are much too complicated to be solved by
More informationRecognizing Types of First Order Differential Equations E. L. Lady
Recognizing Types of First Order Differential Equations E. L. Lady Every first order differential equation to be considered here can be written can be written in the form P (x, y)+q(x, y)y =0. This means
More informationThe 1-D Wave Equation
The -D Wave Equation 8.303 Linear Partial Differential Equations Matthew J. Hancock Fall 006 -D Wave Equation : Physical derivation Reference: Guenther & Lee., Myint-U & Debnath.-.4 [Oct. 3, 006] We consider
More informationIntroduction to Partial Differential Equations. John Douglas Moore
Introduction to Partial Differential Equations John Douglas Moore May 2, 2003 Preface Partial differential equations are often used to construct models of the most basic theories underlying physics and
More informationHeat equation examples
Heat equation examples The Heat equation is discussed in depth in http://tutorial.math.lamar.edu/classes/de/intropde.aspx, starting on page 6. You may recall Newton s Law of Cooling from Calculus. Just
More informationParametric Equations and the Parabola (Extension 1)
Parametric Equations and the Parabola (Extension 1) Parametric Equations Parametric equations are a set of equations in terms of a parameter that represent a relation. Each value of the parameter, when
More informationSome probability and statistics
Appendix A Some probability and statistics A Probabilities, random variables and their distribution We summarize a few of the basic concepts of random variables, usually denoted by capital letters, X,Y,
More informationFeb 28 Homework Solutions Math 151, Winter 2012. Chapter 6 Problems (pages 287-291)
Feb 8 Homework Solutions Math 5, Winter Chapter 6 Problems (pages 87-9) Problem 6 bin of 5 transistors is known to contain that are defective. The transistors are to be tested, one at a time, until the
More informationThe temperature of a body, in general, varies with time as well
cen2935_ch4.qxd 11/3/5 3: PM Page 217 TRANSIENT HEAT CONDUCTION CHAPTER 4 The temperature of a body, in general, varies with time as well as position. In rectangular coordinates, this variation is expressed
More informationSection 2.7 One-to-One Functions and Their Inverses
Section. One-to-One Functions and Their Inverses One-to-One Functions HORIZONTAL LINE TEST: A function is one-to-one if and only if no horizontal line intersects its graph more than once. EXAMPLES: 1.
More informationParticular Solution to a Time-Fractional Heat Equation
Particular Solution to a Time-Fractional Heat Equation Simon P. Kelow Kevin M. Hayden (SPK39@nau.edu) (Kevin.Hayden@nau.edu) July 21, 2013 Abstract When the derivative of a function is non-integer order,
More informationFLAP P11.2 The quantum harmonic oscillator
F L E X I B L E L E A R N I N G A P P R O A C H T O P H Y S I C S Module P. Opening items. Module introduction. Fast track questions.3 Ready to study? The harmonic oscillator. Classical description of
More informationcos Newington College HSC Mathematics Ext 1 Trial Examination 2011 QUESTION ONE (12 Marks) (b) Find the exact value of if. 2 . 3
1 QUESTION ONE (12 Marks) Marks (a) Find tan x e 1 2 cos dx x (b) Find the exact value of if. 2 (c) Solve 5 3 2x 1. 3 (d) If are the roots of the equation 2 find the value of. (e) Use the substitution
More information2008 AP Calculus AB Multiple Choice Exam
008 AP Multiple Choice Eam Name 008 AP Calculus AB Multiple Choice Eam Section No Calculator Active AP Calculus 008 Multiple Choice 008 AP Calculus AB Multiple Choice Eam Section Calculator Active AP Calculus
More informationSolutions to Homework 5
Solutions to Homework 5 1. Let z = f(x, y) be a twice continously differentiable function of x and y. Let x = r cos θ and y = r sin θ be the equations which transform polar coordinates into rectangular
More informationWAVES AND FIELDS IN INHOMOGENEOUS MEDIA
WAVES AND FIELDS IN INHOMOGENEOUS MEDIA WENG CHO CHEW UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN IEEE PRESS Series on Electromagnetic Waves Donald G. Dudley, Series Editor IEEE Antennas and Propagation Society,
More informationReview Solutions MAT V1102. 1. (a) If u = 4 x, then du = dx. Hence, substitution implies 1. dx = du = 2 u + C = 2 4 x + C.
Review Solutions MAT V. (a) If u 4 x, then du dx. Hence, substitution implies dx du u + C 4 x + C. 4 x u (b) If u e t + e t, then du (e t e t )dt. Thus, by substitution, we have e t e t dt e t + e t u
More informationChapter 20. Vector Spaces and Bases
Chapter 20. Vector Spaces and Bases In this course, we have proceeded step-by-step through low-dimensional Linear Algebra. We have looked at lines, planes, hyperplanes, and have seen that there is no limit
More informationThis makes sense. t 2 1 + 1/t 2 dt = 1. t t 2 + 1dt = 2 du = 1 3 u3/2 u=5
1. (Line integrals Using parametrization. Two types and the flux integral) Formulas: ds = x (t) dt, d x = x (t)dt and d x = T ds since T = x (t)/ x (t). Another one is Nds = T ds ẑ = (dx, dy) ẑ = (dy,
More informationPartial Fractions Examples
Partial Fractions Examples Partial fractions is the name given to a technique of integration that may be used to integrate any ratio of polynomials. A ratio of polynomials is called a rational function.
More informationReal Roots of Univariate Polynomials with Real Coefficients
Real Roots of Univariate Polynomials with Real Coefficients mostly written by Christina Hewitt March 22, 2012 1 Introduction Polynomial equations are used throughout mathematics. When solving polynomials
More informationChapter 15 Collision Theory
Chapter 15 Collision Theory 151 Introduction 1 15 Reference Frames Relative and Velocities 1 151 Center of Mass Reference Frame 15 Relative Velocities 3 153 Characterizing Collisions 5 154 One-Dimensional
More information6 Further differentiation and integration techniques
56 6 Further differentiation and integration techniques Here are three more rules for differentiation and two more integration techniques. 6.1 The product rule for differentiation Textbook: Section 2.7
More informationConsumer Theory. The consumer s problem
Consumer Theory The consumer s problem 1 The Marginal Rate of Substitution (MRS) We define the MRS(x,y) as the absolute value of the slope of the line tangent to the indifference curve at point point (x,y).
More informationSeparable First Order Differential Equations
Separable First Order Differential Equations Form of Separable Equations which take the form = gx hy or These are differential equations = gxĥy, where gx is a continuous function of x and hy is a continuously
More informationScientic Computing 2013 Computer Classes: Worksheet 11: 1D FEM and boundary conditions
Scientic Computing 213 Computer Classes: Worksheet 11: 1D FEM and boundary conditions Oleg Batrashev November 14, 213 This material partially reiterates the material given on the lecture (see the slides)
More informationORDINARY DIFFERENTIAL EQUATIONS
ORDINARY DIFFERENTIAL EQUATIONS GABRIEL NAGY Mathematics Department, Michigan State University, East Lansing, MI, 48824. SEPTEMBER 4, 25 Summary. This is an introduction to ordinary differential equations.
More informationIntegrals of Rational Functions
Integrals of Rational Functions Scott R. Fulton Overview A rational function has the form where p and q are polynomials. For example, r(x) = p(x) q(x) f(x) = x2 3 x 4 + 3, g(t) = t6 + 4t 2 3, 7t 5 + 3t
More information19.6. Finding a Particular Integral. Introduction. Prerequisites. Learning Outcomes. Learning Style
Finding a Particular Integral 19.6 Introduction We stated in Block 19.5 that the general solution of an inhomogeneous equation is the sum of the complementary function and a particular integral. We have
More informationMATH PROBLEMS, WITH SOLUTIONS
MATH PROBLEMS, WITH SOLUTIONS OVIDIU MUNTEANU These are free online notes that I wrote to assist students that wish to test their math skills with some problems that go beyond the usual curriculum. These
More informationApplication of Fourier Transform to PDE (I) Fourier Sine Transform (application to PDEs defined on a semi-infinite domain)
Application of Fourier Transform to PDE (I) Fourier Sine Transform (application to PDEs defined on a semi-infinite domain) The Fourier Sine Transform pair are F. T. : U = 2/ u x sin x dx, denoted as U
More informationOscillations. Vern Lindberg. June 10, 2010
Oscillations Vern Lindberg June 10, 2010 You have discussed oscillations in Vibs and Waves: we will therefore touch lightly on Chapter 3, mainly trying to refresh your memory and extend the concepts. 1
More informationMark Howell Gonzaga High School, Washington, D.C.
Be Prepared for the Calculus Exam Mark Howell Gonzaga High School, Washington, D.C. Martha Montgomery Fremont City Schools, Fremont, Ohio Practice exam contributors: Benita Albert Oak Ridge High School,
More information3. Let A and B be two n n orthogonal matrices. Then prove that AB and BA are both orthogonal matrices. Prove a similar result for unitary matrices.
Exercise 1 1. Let A be an n n orthogonal matrix. Then prove that (a) the rows of A form an orthonormal basis of R n. (b) the columns of A form an orthonormal basis of R n. (c) for any two vectors x,y R
More informationN 1. (q k+1 q k ) 2 + α 3. k=0
Teoretisk Fysik Hand-in problem B, SI1142, Spring 2010 In 1955 Fermi, Pasta and Ulam 1 numerically studied a simple model for a one dimensional chain of non-linear oscillators to see how the energy distribution
More informationFUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS
FUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS With Mathematica and MATLAB Computations M. ASGHAR BHATTI WILEY JOHN WILEY & SONS, INC. CONTENTS OF THE BOOK WEB SITE PREFACE xi xiii 1 FINITE ELEMENT
More informationPartial Derivatives. @x f (x; y) = @ x f (x; y) @x x2 y + @ @x y2 and then we evaluate the derivative as if y is a constant.
Partial Derivatives Partial Derivatives Just as derivatives can be used to eplore the properties of functions of 1 variable, so also derivatives can be used to eplore functions of 2 variables. In this
More informationChapter 7 Homework solutions
Chapter 7 Homework solutions 8 Strategy Use the component form of the definition of center of mass Solution Find the location of the center of mass Find x and y ma xa + mbxb (50 g)(0) + (10 g)(5 cm) x
More informationMA107 Precalculus Algebra Exam 2 Review Solutions
MA107 Precalculus Algebra Exam 2 Review Solutions February 24, 2008 1. The following demand equation models the number of units sold, x, of a product as a function of price, p. x = 4p + 200 a. Please write
More informationSolutions for Review Problems
olutions for Review Problems 1. Let be the triangle with vertices A (,, ), B (4,, 1) and C (,, 1). (a) Find the cosine of the angle BAC at vertex A. (b) Find the area of the triangle ABC. (c) Find a vector
More informationHøgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver
Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: chechkin@mech.math.msu.su Narvik 6 PART I Task. Consider two-point
More informationMode Patterns of Parallel plates &Rectangular wave guides Mr.K.Chandrashekhar, Dr.Girish V Attimarad
International Journal of Scientific & Engineering Research Volume 3, Issue 8, August-2012 1 Mode Patterns of Parallel plates &Rectangular wave guides Mr.K.Chandrashekhar, Dr.Girish V Attimarad Abstract-Parallel
More informationMusical Analysis and Synthesis in Matlab
3. James Stewart, Calculus (5th ed.), Brooks/Cole, 2003. 4. TI-83 Graphing Calculator Guidebook, Texas Instruments,1995. Musical Analysis and Synthesis in Matlab Mark R. Petersen (mark.petersen@colorado.edu),
More informationECG590I Asset Pricing. Lecture 2: Present Value 1
ECG59I Asset Pricing. Lecture 2: Present Value 1 2 Present Value If you have to decide between receiving 1$ now or 1$ one year from now, then you would rather have your money now. If you have to decide
More informationINTEGRATING FACTOR METHOD
Differential Equations INTEGRATING FACTOR METHOD Graham S McDonald A Tutorial Module for learning to solve 1st order linear differential equations Table of contents Begin Tutorial c 2004 g.s.mcdonald@salford.ac.uk
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More information100. In general, we can define this as if b x = a then x = log b
Exponents and Logarithms Review 1. Solving exponential equations: Solve : a)8 x = 4! x! 3 b)3 x+1 + 9 x = 18 c)3x 3 = 1 3. Recall: Terminology of Logarithms If 10 x = 100 then of course, x =. However,
More informationDOKUZ EYLUL UNIVERSITY GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES DIRECTORATE COURSE / MODULE / BLOCK DETAILS ACADEMIC YEAR / SEMESTER
Offered by: Fen Bilimleri Enstitüsü Course Title: Applied Mathematics Course Org. Title: Applied Mathematics Course Level: Lisansüstü Course Code: MAT 5001 Language of Instruction: İngilizce Form Submitting/Renewal
More informationMAT12X Intermediate Algebra
MAT12X Intermediate Algebra Workshop I - Exponential Functions LEARNING CENTER Overview Workshop I Exponential Functions of the form y = ab x Properties of the increasing and decreasing exponential functions
More informationVibrations of a Free-Free Beam
Vibrations of a Free-Free Beam he bending vibrations of a beam are described by the following equation: y EI x y t 4 2 + ρ A 4 2 (1) y x L E, I, ρ, A are respectively the Young Modulus, second moment of
More informationAP Calculus AB First Semester Final Exam Practice Test Content covers chapters 1-3 Name: Date: Period:
AP Calculus AB First Semester Final Eam Practice Test Content covers chapters 1- Name: Date: Period: This is a big tamale review for the final eam. Of the 69 questions on this review, questions will be
More information2.2 Separable Equations
2.2 Separable Equations 73 2.2 Separable Equations An equation y = f(x, y) is called separable provided algebraic operations, usually multiplication, division and factorization, allow it to be written
More informationLimits and Continuity
Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function
More informationFINAL EXAM SOLUTIONS Math 21a, Spring 03
INAL EXAM SOLUIONS Math 21a, Spring 3 Name: Start by printing your name in the above box and check your section in the box to the left. MW1 Ken Chung MW1 Weiyang Qiu MW11 Oliver Knill h1 Mark Lucianovic
More informationHomework #1 Solutions
MAT 303 Spring 203 Homework # Solutions Problems Section.:, 4, 6, 34, 40 Section.2:, 4, 8, 30, 42 Section.4:, 2, 3, 4, 8, 22, 24, 46... Verify that y = x 3 + 7 is a solution to y = 3x 2. Solution: From
More informationSection 5.1 Continuous Random Variables: Introduction
Section 5. Continuous Random Variables: Introduction Not all random variables are discrete. For example:. Waiting times for anything (train, arrival of customer, production of mrna molecule from gene,
More informationSecond Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients. y + p(t) y + q(t) y = g(t), g(t) 0.
Second Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients We will now turn our attention to nonhomogeneous second order linear equations, equations with the standard
More informationLecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows
Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows 3.- 1 Basics: equations of continuum mechanics - balance equations for mass and momentum - balance equations for the energy and the chemical
More informationHøgskolen i Narvik Sivilingeniørutdanningen
Høgskolen i Narvik Sivilingeniørutdanningen Eksamen i Faget STE6237 ELEMENTMETODEN Klassen: 4.ID 4.IT Dato: 8.8.25 Tid: Kl. 9. 2. Tillatte hjelpemidler under eksamen: Kalkulator. Bok Numerical solution
More informationSolving Differential Equations Using the Exponential
35 Solving Differential Equations Using the Exponential...he climbed a little further...and further...and then just a little further. (Winnie-the-Pooh) 35.1 Introduction The exponential function plays
More informationMath 53 Worksheet Solutions- Minmax and Lagrange
Math 5 Worksheet Solutions- Minmax and Lagrange. Find the local maximum and minimum values as well as the saddle point(s) of the function f(x, y) = e y (y x ). Solution. First we calculate the partial
More informationHeat Transfer and Energy
What is Heat? Heat Transfer and Energy Heat is Energy in Transit. Recall the First law from Thermodynamics. U = Q - W What did we mean by all the terms? What is U? What is Q? What is W? What is Heat Transfer?
More information