Evolution equations with spectral methods: the case of the wave equation
|
|
- Diana Garrison
- 5 years ago
- Views:
Transcription
1 Evolution equations with spectral methods: the case of the wave equation Laboratoire de l Univers et de ses Théories (LUTH) CNRS / Observatoire de Paris, France in collaboration with Silvano Bonazzola November,
2 Plan 1 and spectral methods 2 3 Absorbing boundary General form of the solution Absorbing BC for l 2
3 It seems that, in general, there is no efficient spectral decomposition for the time coordinate... use of finite-differences! t is discretized (usually) on an equally-spaced grid, with a times-step δt : U J = U(J δt). du dt = F (U) = L(U) + Q(U) Study, for different integration of : stability : n U n Ce Kt U 0, for some δt < δ lim, region of absolute stability : when considering du dt = λu, the region in the complex plane for λδt for which U n is bounded for all n, unconditional stability : if δ is independent from N (level of spectral truncation).
4 One-dimensional study To use the knowledge of the region of absolute stability, it is necessary to diagonalize the matrix L and study its eigen-values λ i. In one dimension : First-order Fourier For L = d/dx, one finds max λ i = O (N) First-order Chebyshev For L = d/dx, one finds max λ i = O ( N 2) Second-order Fourier For L = d/dx 2, one finds max λ i = O ( N 2) Second-order Chebyshev For L = d 2 /dx 2, one finds max λ i = O ( N 4)
5 integration Most popular... Explicit first-order Adams-Bashford scheme (a.k.a forward Euler) : U n+1 = U n + δtf (U n ), second-order Adams-Bashford scheme : [ 23 U n+1 = U n + δt 12 F (U n ) F ( U n 1) F ( U n 2) ], Runge-Kutta... All these exhibit a bounded region of absolute stability K > 0, δt K/ max λ i (Courant condition...).
6 integration Most popular... Implicit Adams-Moulton : first-order (a.k.a backward Euler scheme) U n+1 = U n + δtf ( U n+1), second-order (a.k.a. Crank-Nicholson scheme) U n+1 = U n δt [ F ( U n+1) + F (U n ) ]. Both have an unbounded region of absolute stability in the left complex half-plane unconditionally stable. Higher-order AM have only a bounded region of absolute stability. Schemes can be mixed and various source terms can be treated in different ways (e.g. linear implicit / non-linear explicit).
7 The three-dimensional wave equation in spherical coordinates : with φ = 1 2 φ c 2 t φ r φ r r + 1 r 2 θϕφ = σ; θϕ 2 θ tan θ θ + 1 sin 2 θ 2 ϕ 2 In 1D, it admits two characteristics : ±c : f(ct x) and f(ct + x). To be well-posed, the initial-boundary value problem needs : φ(t = 0) and φ/ t(t = 0), a boundary condition at every domain boundary (Dirichlet, von Neumann, mixed).
8 An explicit scheme for the wave equation Using a second-order scheme to evaluate the second time derivative 2 φ t 2 = φj+1 2φ J + φ J 1 δt 2 + O ( δt 4), t=t J one recovers the forward Euler scheme φ J+1 = 2φ J φ J 1 + δt 2 ( φ J + σ ) + O(δt 4 ). Solution of the initial-boundary value problem inside a sphere or r R : initial profiles at t = t 0 and t = t 1, t > t 1, a value for φ(r = R). With spectral methods using Chebyshev polynomials in r, time-step limitation is coming from the second radial derivative : δt 2 K/N 4. Complete 3D problem regularity at the origin too, for l > 1.
9 With the same formula for the second time derivative and the Crank-Nicholson scheme : ] ( ) [1 δt φ J+1 = 2φ J φ J 1 + δt 2 φj 1 + σ J. One must invert the operator 1 1/2δt 2 ; one way is : consider the spectral representation of φ in terms of spherical harmonics ( θϕ Yl m = l(l + 1)Yl m ) ; solve the ordinary differential equation in r as a simple linear system, using e.g. the tau method. one can add boundary and regularity depending on the multipolar momentum l. beware of the condition number of the operator matrix! sometimes regularity is better imposed (stable) using a Galerkin base.
10 Domain boundaries Contrary to the Laplace operator, the d Alembert one is not invariant under inversion / sphere. one cannot a priori use a change of variable u = 1/r! the distance between two neighboring grid points becomes larger than the wavelength... domain of integration bounded (e.g. within a sphere of radius R). Two types of BCs : reflecting BC : φ(r = R) = 0, absorbing BC...
11 An absorbing BC can be seen in 1D : at x = 1 one imposes no incoming characteristic only f(ct x) mode. In spherical 3D geometry : asymptotically, the solution must match equivalently, 1 φ r f(ct r), r (rφ) lim + c (rφ) = 0. r t t At finite distance R : ( 1 φ c t + φ r + φ ) = 0; r r=r which is exact in spherical symmetry.
12 General form of the solution The homogeneous wave equation φ = 0 admits as asymptotic development of its solution f k (t r, θ, ϕ) φ(t, r, θ, ϕ) = r k. k=1 One can show that the contribution from a mode l exists only for k l + 1. Moreover, the operators : B 1 f = f t + f r + f ( r, B n+1f = t + r + 2n + 1 ) B n f r are such that the condition B n φ = 0 matches the first n terms (B n φ = O ( 1/r 2n+1) ). It follows that B n φ = 0 is a n th -order BC, is exact for all modes l n 1, is asymptotically exact with an error decreasing like 1/R n+1, is the generalization of the at finite distance (n = 1).
13 Absorbing BC for l 2 The condition B 3 φ = 0 at r = R writes ( (t, θ, ϕ), B 1 φ r=r = t + r + 1 ) φ(t, r, θ, ϕ) r = ξ(t, θ, ϕ), r=r with ξ(t, θ, ϕ) verifying a wave-like equation on the sphere r = R 2 ξ t 2 3 4R 2 θϕξ + 3 ξ R t + 3ξ 2R 2 = 1 ( φ 2R 2 θϕ R φ ) r. r=r easy to solve if ξ is decomposed on the spectral base of spherical harmonics! looks like a perturbation of the... exact for l 2 and the error decreases as 1/R 4 for other modes.
Absorbing boundary conditions for simulation of gravitational waves with spectral methods in spherical coordinates
Absorbing boundary conditions for simulation of gravitational waves with spectral methods in spherical coordinates Jérôme Novak, Silvano Bonazzola arxiv:gr-qc/0203102v2 29 Apr 2004 Laboratoire de l Univers
More informationTutorial 2. Introduction to numerical schemes
236861 Numerical Geometry of Images Tutorial 2 Introduction to numerical schemes c 2012 Classifying PDEs Looking at the PDE Au xx + 2Bu xy + Cu yy + Du x + Eu y + Fu +.. = 0, and its discriminant, B 2
More informationFDM for parabolic equations
FDM for parabolic equations Consider the heat equation where Well-posed problem Existence & Uniqueness Mass & Energy decreasing FDM for parabolic equations CNFD Crank-Nicolson + 2 nd order finite difference
More informationFinite Differences for Differential Equations 28 PART II. Finite Difference Methods for Differential Equations
Finite Differences for Differential Equations 28 PART II Finite Difference Methods for Differential Equations Finite Differences for Differential Equations 29 BOUNDARY VALUE PROBLEMS (I) Solving a TWO
More informationNumerical Solutions to Partial Differential Equations
Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University A Model Problem and Its Difference Approximations 1-D Initial Boundary Value
More informationNumerical Solutions to Partial Differential Equations
Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University The Implicit Schemes for the Model Problem The Crank-Nicolson scheme and θ-scheme
More informationFinite Differences: Consistency, Stability and Convergence
Finite Differences: Consistency, Stability and Convergence Varun Shankar March, 06 Introduction Now that we have tackled our first space-time PDE, we will take a quick detour from presenting new FD methods,
More informationLecture 4: Numerical solution of ordinary differential equations
Lecture 4: Numerical solution of ordinary differential equations Department of Mathematics, ETH Zürich General explicit one-step method: Consistency; Stability; Convergence. High-order methods: Taylor
More informationFinite difference method for heat equation
Finite difference method for heat equation Praveen. C praveen@math.tifrbng.res.in Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore 560065 http://math.tifrbng.res.in/~praveen
More informationFinite Difference Methods for
CE 601: Numerical Methods Lecture 33 Finite Difference Methods for PDEs Course Coordinator: Course Coordinator: Dr. Suresh A. Kartha, Associate Professor, Department of Civil Engineering, IIT Guwahati.
More informationNumerical Methods for PDEs
Numerical Methods for PDEs Problems 1. Numerical Differentiation. Find the best approximation to the second drivative d 2 f(x)/dx 2 at x = x you can of a function f(x) using (a) the Taylor series approach
More informationKadath: a spectral solver and its application to black hole spacetimes
Kadath: a spectral solver and its application to black hole spacetimes Philippe Grandclément Laboratoire de l Univers et de ses Théories (LUTH) CNRS / Observatoire de Paris F-92195 Meudon, France philippe.grandclement@obspm.fr
More informationChapter 8. Numerical Solution of Ordinary Differential Equations. Module No. 2. Predictor-Corrector Methods
Numerical Analysis by Dr. Anita Pal Assistant Professor Department of Matematics National Institute of Tecnology Durgapur Durgapur-7109 email: anita.buie@gmail.com 1 . Capter 8 Numerical Solution of Ordinary
More informationIntroduction to numerical schemes
236861 Numerical Geometry of Images Tutorial 2 Introduction to numerical schemes Heat equation The simple parabolic PDE with the initial values u t = K 2 u 2 x u(0, x) = u 0 (x) and some boundary conditions
More informationFourth Order RK-Method
Fourth Order RK-Method The most commonly used method is Runge-Kutta fourth order method. The fourth order RK-method is y i+1 = y i + 1 6 (k 1 + 2k 2 + 2k 3 + k 4 ), Ordinary Differential Equations (ODE)
More informationOrdinary Differential Equations II
Ordinary Differential Equations II CS 205A: Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon CS 205A: Mathematical Methods Ordinary Differential Equations II 1 / 29 Almost Done! No
More informationChapter 5. Formulation of FEM for Unsteady Problems
Chapter 5 Formulation of FEM for Unsteady Problems Two alternatives for formulating time dependent problems are called coupled space-time formulation and semi-discrete formulation. The first one treats
More informationPart IB Numerical Analysis
Part IB Numerical Analysis Definitions Based on lectures by G. Moore Notes taken by Dexter Chua Lent 206 These notes are not endorsed by the lecturers, and I have modified them (often significantly) after
More informationIndex. higher order methods, 52 nonlinear, 36 with variable coefficients, 34 Burgers equation, 234 BVP, see boundary value problems
Index A-conjugate directions, 83 A-stability, 171 A( )-stability, 171 absolute error, 243 absolute stability, 149 for systems of equations, 154 absorbing boundary conditions, 228 Adams Bashforth methods,
More informationOrdinary Differential Equations
Ordinary Differential Equations We call Ordinary Differential Equation (ODE) of nth order in the variable x, a relation of the kind: where L is an operator. If it is a linear operator, we call the equation
More informationVariational Assimilation of Discrete Navier-Stokes Equations
Variational Assimilation of Discrete Navier-Stokes Equations Souleymane.Kadri-Harouna FLUMINANCE, INRIA Rennes-Bretagne Atlantique Campus universitaire de Beaulieu, 35042 Rennes, France Outline Discretization
More informationNumerical Analysis of Differential Equations Numerical Solution of Parabolic Equations
Numerical Analysis of Differential Equations 215 6 Numerical Solution of Parabolic Equations 6 Numerical Solution of Parabolic Equations TU Bergakademie Freiberg, SS 2012 Numerical Analysis of Differential
More informationOrdinary Differential Equations II
Ordinary Differential Equations II CS 205A: Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon CS 205A: Mathematical Methods Ordinary Differential Equations II 1 / 33 Almost Done! Last
More informationPartial differential equations
Partial differential equations Many problems in science involve the evolution of quantities not only in time but also in space (this is the most common situation)! We will call partial differential equation
More informationNumerical Algorithms for Visual Computing II 2010/11 Example Solutions for Assignment 6
Numerical Algorithms for Visual Computing II 00/ Example Solutions for Assignment 6 Problem (Matrix Stability Infusion). The matrix A of the arising matrix notation U n+ = AU n takes the following form,
More informationSchool on spectral methods,
School on spectral methods, with applications to General Relativity and Field Theory CIAS, Meudon Observatory, 14-18 November 2005 http://www.lorene.obspm.fr/school/ Lectures by Silvano Bonazzola, Eric
More informationFinite difference methods for the diffusion equation
Finite difference methods for the diffusion equation D150, Tillämpade numeriska metoder II Olof Runborg May 0, 003 These notes summarize a part of the material in Chapter 13 of Iserles. They are based
More informationSolving Ordinary Differential equations
Solving Ordinary Differential equations Taylor methods can be used to build explicit methods with higher order of convergence than Euler s method. The main difficult of these methods is the computation
More informationTime stepping methods
Time stepping methods ATHENS course: Introduction into Finite Elements Delft Institute of Applied Mathematics, TU Delft Matthias Möller (m.moller@tudelft.nl) 19 November 2014 M. Möller (DIAM@TUDelft) Time
More informationKINGS COLLEGE OF ENGINEERING DEPARTMENT OF MATHEMATICS ACADEMIC YEAR / EVEN SEMESTER QUESTION BANK
KINGS COLLEGE OF ENGINEERING MA5-NUMERICAL METHODS DEPARTMENT OF MATHEMATICS ACADEMIC YEAR 00-0 / EVEN SEMESTER QUESTION BANK SUBJECT NAME: NUMERICAL METHODS YEAR/SEM: II / IV UNIT - I SOLUTION OF EQUATIONS
More informationQuantum Mechanics in Three Dimensions
Physics 342 Lecture 21 Quantum Mechanics in Three Dimensions Lecture 21 Physics 342 Quantum Mechanics I Monday, March 22nd, 21 We are used to the temporal separation that gives, for example, the timeindependent
More informationNavier-Stokes equations
1 Navier-Stokes equations Introduction to spectral methods for the CSC Lunchbytes Seminar Series. Incompressible, hydrodynamic turbulence is described completely by the Navier-Stokes equations where t
More informationPartial Differential Equations
Partial Differential Equations Introduction Deng Li Discretization Methods Chunfang Chen, Danny Thorne, Adam Zornes CS521 Feb.,7, 2006 What do You Stand For? A PDE is a Partial Differential Equation This
More informationFundamentals Physics
Fundamentals Physics And Differential Equations 1 Dynamics Dynamics of a material point Ideal case, but often sufficient Dynamics of a solid Including rotation, torques 2 Position, Velocity, Acceleration
More informationFinal Exam May 4, 2016
1 Math 425 / AMCS 525 Dr. DeTurck Final Exam May 4, 2016 You may use your book and notes on this exam. Show your work in the exam book. Work only the problems that correspond to the section that you prepared.
More informationNumerical Methods - Initial Value Problems for ODEs
Numerical Methods - Initial Value Problems for ODEs Y. K. Goh Universiti Tunku Abdul Rahman 2013 Y. K. Goh (UTAR) Numerical Methods - Initial Value Problems for ODEs 2013 1 / 43 Outline 1 Initial Value
More informationMATH 126 FINAL EXAM. Name:
MATH 126 FINAL EXAM Name: Exam policies: Closed book, closed notes, no external resources, individual work. Please write your name on the exam and on each page you detach. Unless stated otherwise, you
More informationAppendix C: Recapitulation of Numerical schemes
Appendix C: Recapitulation of Numerical schemes August 31, 2009) SUMMARY: Certain numerical schemes of general use are regrouped here in order to facilitate implementations of simple models C1 The tridiagonal
More information2.29 Numerical Fluid Mechanics Spring 2015 Lecture 13
REVIEW Lecture 12: Spring 2015 Lecture 13 Grid-Refinement and Error estimation Estimation of the order of convergence and of the discretization error Richardson s extrapolation and Iterative improvements
More informationPseudospectral and High-Order Time-Domain Forward Solvers
Pseudospectral and High-Order Time-Domain Forward Solvers Qing H. Liu G. Zhao, T. Xiao, Y. Zeng Department of Electrical and Computer Engineering Duke University DARPA/ARO MURI Review, August 15, 2003
More informationQuantum Mechanics in 3-Dimensions
Quantum Mechanics in 3-Dimensions Pavithran S Iyer, 2nd yr BSc Physics, Chennai Mathematical Institute Email: pavithra@cmi.ac.in August 28 th, 2009 1 Schrodinger equation in Spherical Coordinates 1.1 Transforming
More informationLinear Multistep Methods I: Adams and BDF Methods
Linear Multistep Methods I: Adams and BDF Methods Varun Shankar January 1, 016 1 Introduction In our review of 5610 material, we have discussed polynomial interpolation and its application to generating
More informationConsistency and Convergence
Jim Lambers MAT 77 Fall Semester 010-11 Lecture 0 Notes These notes correspond to Sections 1.3, 1.4 and 1.5 in the text. Consistency and Convergence We have learned that the numerical solution obtained
More informationElectrodynamics I Midterm - Part A - Closed Book KSU 2005/10/17 Electro Dynamic
Electrodynamics I Midterm - Part A - Closed Book KSU 5//7 Name Electro Dynamic. () Write Gauss Law in differential form. E( r) =ρ( r)/ɛ, or D = ρ, E= electricfield,ρ=volume charge density, ɛ =permittivity
More informationME Computational Fluid Mechanics Lecture 5
ME - 733 Computational Fluid Mechanics Lecture 5 Dr./ Ahmed Nagib Elmekawy Dec. 20, 2018 Elliptic PDEs: Finite Difference Formulation Using central difference formulation, the so called five-point formula
More informationMath 7824 Spring 2010 Numerical solution of partial differential equations Classroom notes and homework
Math 7824 Spring 2010 Numerical solution of partial differential equations Classroom notes and homework Jan Mandel University of Colorado Denver May 12, 2010 1/20/09: Sec. 1.1, 1.2. Hw 1 due 1/27: problems
More informationInitial value problems for ordinary differential equations
Initial value problems for ordinary differential equations Xiaojing Ye, Math & Stat, Georgia State University Spring 2019 Numerical Analysis II Xiaojing Ye, Math & Stat, Georgia State University 1 IVP
More informationMTH 452/552 Homework 3
MTH 452/552 Homework 3 Do either 1 or 2. 1. (40 points) [Use of ode113 and ode45] This problem can be solved by a modifying the m-files odesample.m and odesampletest.m available from the author s webpage.
More informationName of the Student: Unit I (Solution of Equations and Eigenvalue Problems)
Engineering Mathematics 8 SUBJECT NAME : Numerical Methods SUBJECT CODE : MA6459 MATERIAL NAME : University Questions REGULATION : R3 UPDATED ON : November 7 (Upto N/D 7 Q.P) (Scan the above Q.R code for
More informationBasics of Discretization Methods
Basics of Discretization Methods In the finite difference approach, the continuous problem domain is discretized, so that the dependent variables are considered to exist only at discrete points. Derivatives
More informationGeneral Relativity and Cosmology Mock exam
Physikalisches Institut Mock Exam Universität Bonn 29. June 2011 Theoretische Physik SS 2011 General Relativity and Cosmology Mock exam Priv. Doz. Dr. S. Förste Exercise 1: Overview Give short answers
More informationENGINEERING MATHEMATICS I. CODE: 10 MAT 11 IA Marks: 25 Hrs/Week: 04 Exam Hrs: 03 PART-A
ENGINEERING MATHEMATICS I CODE: 10 MAT 11 IA Marks: 25 Hrs/Week: 04 Exam Hrs: 03 Total Hrs: 52 Exam Marks:100 PART-A Unit-I: DIFFERENTIAL CALCULUS - 1 Determination of n th derivative of standard functions-illustrative
More informationCalculating Accurate Waveforms for LIGO and LISA Data Analysis
Calculating Accurate Waveforms for LIGO and LISA Data Analysis Lee Lindblom Theoretical Astrophysics, Caltech HEPL-KIPAC Seminar, Stanford 17 November 2009 Results from the Caltech/Cornell Numerical Relativity
More informationCHAPTER II MATHEMATICAL BACKGROUND OF THE BOUNDARY ELEMENT METHOD
CHAPTER II MATHEMATICAL BACKGROUND OF THE BOUNDARY ELEMENT METHOD For the second chapter in the thesis, we start with surveying the mathematical background which is used directly in the Boundary Element
More information(a) Determine the general solution for φ(ρ) near ρ = 0 for arbitary values E. (b) Show that the regular solution at ρ = 0 has the series expansion
Problem 1. Curious Wave Functions The eigenfunctions of a D7 brane in a curved geometry lead to the following eigenvalue equation of the Sturm Liouville type ρ ρ 3 ρ φ n (ρ) = E n w(ρ)φ n (ρ) w(ρ) = where
More informationAIMS Exercise Set # 1
AIMS Exercise Set #. Determine the form of the single precision floating point arithmetic used in the computers at AIMS. What is the largest number that can be accurately represented? What is the smallest
More informationECE257 Numerical Methods and Scientific Computing. Ordinary Differential Equations
ECE257 Numerical Methods and Scientific Computing Ordinary Differential Equations Today s s class: Stiffness Multistep Methods Stiff Equations Stiffness occurs in a problem where two or more independent
More informationSpherical Coordinates and Legendre Functions
Spherical Coordinates and Legendre Functions Spherical coordinates Let s adopt the notation for spherical coordinates that is standard in physics: φ = longitude or azimuth, θ = colatitude ( π 2 latitude)
More informationElectrostatic Imaging via Conformal Mapping. R. Kress. joint work with I. Akduman, Istanbul and H. Haddar, Paris
Electrostatic Imaging via Conformal Mapping R. Kress Göttingen joint work with I. Akduman, Istanbul and H. Haddar, Paris Or: A new solution method for inverse boundary value problems for the Laplace equation
More informationFinal Examination Solutions
Math. 42 Fulling) 4 December 25 Final Examination Solutions Calculators may be used for simple arithmetic operations only! Laplacian operator in polar coordinates: Some possibly useful information 2 u
More informationImproved constrained scheme for the Einstein equations: An approach to the uniqueness issue
Improved constrained scheme for the Einstein equations: An approach to the uniqueness issue Jérôme Novak (Jerome.Novak@obspm.fr) Laboratoire Univers et Théories (LUTH) CNRS / Observatoire de Paris / Université
More informationOrdinary Differential Equations I
Ordinary Differential Equations I CS 205A: Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon CS 205A: Mathematical Methods Ordinary Differential Equations I 1 / 32 Theme of Last Few
More information7 Hyperbolic Differential Equations
Numerical Analysis of Differential Equations 243 7 Hyperbolic Differential Equations While parabolic equations model diffusion processes, hyperbolic equations model wave propagation and transport phenomena.
More informationPhysics 342 Lecture 23. Radial Separation. Lecture 23. Physics 342 Quantum Mechanics I
Physics 342 Lecture 23 Radial Separation Lecture 23 Physics 342 Quantum Mechanics I Friday, March 26th, 2010 We begin our spherical solutions with the simplest possible case zero potential. Aside from
More informationScientific Computing: An Introductory Survey
Scientific Computing: An Introductory Survey Chapter 9 Initial Value Problems for Ordinary Differential Equations Prof. Michael T. Heath Department of Computer Science University of Illinois at Urbana-Champaign
More informationFinite Difference Methods (FDMs) 2
Finite Difference Methods (FDMs) 2 Time- dependent PDEs A partial differential equation of the form (15.1) where A, B, and C are constants, is called quasilinear. There are three types of quasilinear equations:
More informationA THEORETICAL INTRODUCTION TO NUMERICAL ANALYSIS
A THEORETICAL INTRODUCTION TO NUMERICAL ANALYSIS Victor S. Ryaben'kii Semyon V. Tsynkov Chapman &. Hall/CRC Taylor & Francis Group Boca Raton London New York Chapman & Hall/CRC is an imprint of the Taylor
More informationFinal Examination. CS 205A: Mathematical Methods for Robotics, Vision, and Graphics (Fall 2013), Stanford University
Final Examination CS 205A: Mathematical Methods for Robotics, Vision, and Graphics (Fall 2013), Stanford University The exam runs for 3 hours. The exam contains eight problems. You must complete the first
More informationOrdinary Differential Equations I
Ordinary Differential Equations I CS 205A: Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon CS 205A: Mathematical Methods Ordinary Differential Equations I 1 / 27 Theme of Last Three
More informationSolutions to Laplace s Equations- II
Solutions to Laplace s Equations- II Lecture 15: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay Laplace s Equation in Spherical Coordinates : In spherical coordinates
More informationMATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012
MATH 3P: PRACTICE FINAL SOLUTIONS DECEMBER, This is a closed ook, closed notes, no calculators/computers exam. There are 6 prolems. Write your solutions to Prolems -3 in lue ook #, and your solutions to
More informationImplicit Scheme for the Heat Equation
Implicit Scheme for the Heat Equation Implicit scheme for the one-dimensional heat equation Once again we consider the one-dimensional heat equation where we seek a u(x, t) satisfying u t = νu xx + f(x,
More informationMcGill University Department of Mathematics and Statistics. Ph.D. preliminary examination, PART A. PURE AND APPLIED MATHEMATICS Paper BETA
McGill University Department of Mathematics and Statistics Ph.D. preliminary examination, PART A PURE AND APPLIED MATHEMATICS Paper BETA 17 August, 2018 1:00 p.m. - 5:00 p.m. INSTRUCTIONS: (i) This paper
More informationBoundary Value Problems in Cylindrical Coordinates
Boundary Value Problems in Cylindrical Coordinates 29 Outline Differential Operators in Various Coordinate Systems Laplace Equation in Cylindrical Coordinates Systems Bessel Functions Wave Equation the
More informationFDM for wave equations
FDM for wave equations Consider the second order wave equation Some properties Existence & Uniqueness Wave speed finite!!! Dependence region Analytical solution in 1D Finite difference discretization Finite
More informationLecture Notes on Numerical Schemes for Flow and Transport Problems
Lecture Notes on Numerical Schemes for Flow and Transport Problems by Sri Redeki Pudaprasetya sr pudap@math.itb.ac.id Department of Mathematics Faculty of Mathematics and Natural Sciences Bandung Institute
More informationmultistep methods Last modified: November 28, 2017 Recall that we are interested in the numerical solution of the initial value problem (IVP):
MATH 351 Fall 217 multistep methods http://www.phys.uconn.edu/ rozman/courses/m351_17f/ Last modified: November 28, 217 Recall that we are interested in the numerical solution of the initial value problem
More informationFixed point iteration and root finding
Fixed point iteration and root finding The sign function is defined as x > 0 sign(x) = 0 x = 0 x < 0. It can be evaluated via an iteration which is useful for some problems. One such iteration is given
More informationApplied Mathematics Masters Examination Fall 2016, August 18, 1 4 pm.
Applied Mathematics Masters Examination Fall 16, August 18, 1 4 pm. Each of the fifteen numbered questions is worth points. All questions will be graded, but your score for the examination will be the
More informationNumerical Analysis. A Comprehensive Introduction. H. R. Schwarz University of Zürich Switzerland. with a contribution by
Numerical Analysis A Comprehensive Introduction H. R. Schwarz University of Zürich Switzerland with a contribution by J. Waldvogel Swiss Federal Institute of Technology, Zürich JOHN WILEY & SONS Chichester
More informationIndex. C 2 ( ), 447 C k [a,b], 37 C0 ( ), 618 ( ), 447 CD 2 CN 2
Index advection equation, 29 in three dimensions, 446 advection-diffusion equation, 31 aluminum, 200 angle between two vectors, 58 area integral, 439 automatic step control, 119 back substitution, 604
More informationLast time: Diffusion - Numerical scheme (FD) Heat equation is dissipative, so why not try Forward Euler:
Lecture 7 18.086 Last time: Diffusion - Numerical scheme (FD) Heat equation is dissipative, so why not try Forward Euler: U j,n+1 t U j,n = U j+1,n 2U j,n + U j 1,n x 2 Expected accuracy: O(Δt) in time,
More informationDiscontinuous Galerkin methods for fractional diffusion problems
Discontinuous Galerkin methods for fractional diffusion problems Bill McLean Kassem Mustapha School of Maths and Stats, University of NSW KFUPM, Dhahran Leipzig, 7 October, 2010 Outline Sub-diffusion Equation
More information256 Summary. D n f(x j ) = f j+n f j n 2n x. j n=1. α m n = 2( 1) n (m!) 2 (m n)!(m + n)!. PPW = 2π k x 2 N + 1. i=0?d i,j. N/2} N + 1-dim.
56 Summary High order FD Finite-order finite differences: Points per Wavelength: Number of passes: D n f(x j ) = f j+n f j n n x df xj = m α m dx n D n f j j n= α m n = ( ) n (m!) (m n)!(m + n)!. PPW =
More informationTwo special equations: Bessel s and Legendre s equations. p Fourier-Bessel and Fourier-Legendre series. p
LECTURE 1 Table of Contents Two special equations: Bessel s and Legendre s equations. p. 259-268. Fourier-Bessel and Fourier-Legendre series. p. 453-460. Boundary value problems in other coordinate system.
More informationLecture Notes to Accompany. Scientific Computing An Introductory Survey. by Michael T. Heath. Chapter 9
Lecture Notes to Accompany Scientific Computing An Introductory Survey Second Edition by Michael T. Heath Chapter 9 Initial Value Problems for Ordinary Differential Equations Copyright c 2001. Reproduction
More informationLecture 13: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay. Poisson s and Laplace s Equations
Poisson s and Laplace s Equations Lecture 13: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay We will spend some time in looking at the mathematical foundations of electrostatics.
More informationApplied Math for Engineers
Applied Math for Engineers Ming Zhong Lecture 15 March 28, 2018 Ming Zhong (JHU) AMS Spring 2018 1 / 28 Recap Table of Contents 1 Recap 2 Numerical ODEs: Single Step Methods 3 Multistep Methods 4 Method
More informationLecture 9 Approximations of Laplace s Equation, Finite Element Method. Mathématiques appliquées (MATH0504-1) B. Dewals, C.
Lecture 9 Approximations of Laplace s Equation, Finite Element Method Mathématiques appliquées (MATH54-1) B. Dewals, C. Geuzaine V1.2 23/11/218 1 Learning objectives of this lecture Apply the finite difference
More informationNUMERICAL SOLUTION OF ODE IVPs. Overview
NUMERICAL SOLUTION OF ODE IVPs 1 Quick review of direction fields Overview 2 A reminder about and 3 Important test: Is the ODE initial value problem? 4 Fundamental concepts: Euler s Method 5 Fundamental
More informationMath 46, Applied Math (Spring 2009): Final
Math 46, Applied Math (Spring 2009): Final 3 hours, 80 points total, 9 questions worth varying numbers of points 1. [8 points] Find an approximate solution to the following initial-value problem which
More informationReview for Exam 2 Ben Wang and Mark Styczynski
Review for Exam Ben Wang and Mark Styczynski This is a rough approximation of what we went over in the review session. This is actually more detailed in portions than what we went over. Also, please note
More informationDesign of optimal Runge-Kutta methods
Design of optimal Runge-Kutta methods David I. Ketcheson King Abdullah University of Science & Technology (KAUST) D. Ketcheson (KAUST) 1 / 36 Acknowledgments Some parts of this are joint work with: Aron
More informationOrdinary Differential Equations
Ordinary Differential Equations Professor Dr. E F Toro Laboratory of Applied Mathematics University of Trento, Italy eleuterio.toro@unitn.it http://www.ing.unitn.it/toro September 19, 2014 1 / 55 Motivation
More informationConnection to Laplacian in spherical coordinates (Chapter 13)
Connection to Laplacian in spherical coordinates (Chapter 13) We might often encounter the Laplace equation and spherical coordinates might be the most convenient 2 u(r, θ, φ) = 0 We already saw in Chapter
More informationLecture 6 Scattering theory Partial Wave Analysis. SS2011: Introduction to Nuclear and Particle Physics, Part 2 2
Lecture 6 Scattering theory Partial Wave Analysis SS2011: Introduction to Nuclear and Particle Physics, Part 2 2 1 The Born approximation for the differential cross section is valid if the interaction
More informationModeling, Simulating and Rendering Fluids. Thanks to Ron Fediw et al, Jos Stam, Henrik Jensen, Ryan
Modeling, Simulating and Rendering Fluids Thanks to Ron Fediw et al, Jos Stam, Henrik Jensen, Ryan Applications Mostly Hollywood Shrek Antz Terminator 3 Many others Games Engineering Animating Fluids is
More informationOrdinary Differential Equations
Chapter 13 Ordinary Differential Equations We motivated the problem of interpolation in Chapter 11 by transitioning from analzying to finding functions. That is, in problems like interpolation and regression,
More informationPDE Solvers for Fluid Flow
PDE Solvers for Fluid Flow issues and algorithms for the Streaming Supercomputer Eran Guendelman February 5, 2002 Topics Equations for incompressible fluid flow 3 model PDEs: Hyperbolic, Elliptic, Parabolic
More informationSelf trapped gravitational waves (geons) with anti-de Sitter asymptotics
Self trapped gravitational waves (geons) with anti-de Sitter asymptotics Gyula Fodor Wigner Research Centre for Physics, Budapest ELTE, 20 March 2017 in collaboration with Péter Forgács (Wigner Research
More information