Spectral Element Methods (SEM) May 12, D Wave Equations (Strong and Weak form)

Size: px
Start display at page:

Download "Spectral Element Methods (SEM) May 12, D Wave Equations (Strong and Weak form)"

Transcription

1 Spectral Element Methods (SEM) May 12, D Wave Equations (Strong and Weak form) Strong form (PDEs): ρ 2 t s = T + F in (1) Multiply a global test function W(x) to both sides and integrate over to obtain the weak form: ρw s i dv = W ˆn T i dσ WT i d + WF i d (2) 2 Meshing Σ Grid into spectral elements (iteration index ispec). Each element will have GLL grid points in 3 directions (index α,β,γ). Globally number all grid points (index I) and establish the proection (α,β,γ; ispec) (I) (3) Notice this proection is one-to-one for grid points inside any element (valence = 0), and multipleto-one for grid points on the boundaries that are shared by elements (valence 1). 2.1 Interpolation of Shapes For boundary and volume elements, we not only need to access location of grid points of the element, but also the location of any arbitrary point inside the element. We can interpolate the shape of the element by given anchors x a. 1. For boundary element: x(ξ,η) = N a=1 N a (ξ,η)x a (4) and the Jacobian matrix associated with this transformation J b (ξ,η) = ( x ξ x η ) (5) 1

2 and the scalar Jacobian J b = J b. The inverse transform is given by ( ξ x η x ) = J 1 b and the normal to the boundary is described by (6) n(ξ,η) = x x ξ η x x ξ η (7) 2. For volume element: x(ξ,η,ζ) = N a=1 N a (ξ,η,ζ)x a (8) J a (ξ,η,ζ) = ( x(ξ,η,ζ) (ξ,η,ζ) ) (9) J a = J a (10) (ξ,η,ζ) x(ξ,η,ζ) = J 1 a N a (ξ,η) and N a (ξ,η,ζ) are the 2-D and 3-D shape functions. They are double or triple products of degree 1 or 2 Lagrangian polynomials. For example, degree 1 Lagrangian polynomials are N 1 (ξ) = 1(1 + ξ) and N 2 2(ξ) = 1 (1 ξ) for given anchors at 1 and Interpolation of Function Field We interpolate function field on GLL points that satisfy: (11) (1 ξ 2 ) P N (ξ) = 0 (12) and f(x(ξ,η)) Σe = αβ f(x(ξ,η,ζ)) e = αβγ f αβ l α (ξ)l β (η) (13) f αβγ l α (ξ)l β (η)l γ (ζ) 3.1 Derivatives i f(x(ξ,η,ζ)) = αβγ [ f αβγ l α (ξ)l β (η)l γ (ζ) ξ + l α (ξ) l β (η)l γ (ζ) η + l α (ξ)l β (η) l γ (ζ) ζ ] x i x i x i 2

3 Notice ξ η ζ x i, x i, x i values can be calculated from the 2D and 3D shape functions. Specifically, to compute derivatives on GLL points: [ ] [ ] [ ] i f αβγ = f βγ l (ξ α ) αβγ i ξ+ f αγ l (η β ) i η αβγ + f αβ l (ζ γ ) i ζ αβγ (15) (14) 3.2 Integration Integration quadrature f(x)dx = Σ e αβ e f(x)dx = αβγ ω α ω β f αβ J αβ b (16) ω α ω β ω γ f αβγ J αβγ a (17) 4 Global Test Functions Define global test functions W I (x), such that { W I l α (ξ)l β (η)l γ (ζ) if I e, and I e = (α,β,γ) (x) e = (18) 0 if I e If I e = (α,β,γ) has zero valence, then W I (x) is simply a 3-D local Lagrangian function extended to the whole space; otherwise it consists several pieces (valence+1) of local lagrangian function (edge ones). Therefore, for integration, one needs to loop over spectral elements, then all the GLL points, and adds contributions to the corresponding global grid point. Notice W I e (α,β,ζ ) = δ αα δ ββ δ ζζ (19) this simplifies the integration results. 3

4 5 Application to the Wave Equation 5.1 LHS ρw I s i (t) dx = ρw I e s i (t) dx (20) e e = ω α ω β ω γ ρ α β γ J α β γ s α β γ i δ αα δ ββ δ ζζ (21) e α β γ = ω α ω β ω γ ρ αβγ αβγ J αβγ s i (t) (22) e 5.2 Spatial Derivatives For example, i s (x) αβγ e = [ = i [ s α β γ α β γ l α (ξ)l β (η)l γ (ζ) s βγ l (ξ α )] i ξ(ξ α,η β,ζ γ ) ] αβγ e + [ + [ s αγ l (η β )] i η(ξ α,η β,ζ γ ) s αβ l (ζ γ )] i ζ(ξ α,η β,ζ γ ) (23) in the SEM code, hprime(α,) = l (ξ α ). The stress tensor is given by: T kl = C kli i s R kl (24) For isotropic and no pre-stress case, T kl = (κ 2 3 µ)δ klǫ ii + µ(ǫ kl + ǫ lk ) (25) 5.3 Boundary terms Σ W Iˆn T i dσ = e = e Σ e W I t i dσ e ω α ω β t αβ i J αβ (26) Where Ith global grid point is on Σ e elements, with GLL index (α,β). Normal stress t i is zero for free surface, and continuous for any internal boundaries. (For fluid-solid coupling problems, 4

5 we may solve both side independently, and the interchange of two fields will occur through this boundary condition.) For regional problems, other boundaries are absorbing, where t i = ˆn T i = ρα(ˆn ṡ )ˆn i + ρβ(δ i ˆn iˆn )ṡ (27) 5.4 Volume integral terms W I T i d = W I e T i d e e e = [ l α ξl β l γ + l α lβ ηl γ + l α l β lγ ζ]t i dx e e = {[ ] ω lα (ξ ) ξ(ξ,η β,ζ γ )T βγ i J βγ ω β ω γ e [ ] + ω lβ (η ) η(ξ α,η,ζ γ )T αγ i J αγ ω α ω γ + [ ω lγ (ζ ) ζ(ξ α,η β,ζ )T αβ i J αβ ] ω α ω β } (28) in the SEM code, sums over are named as temp[x y z][1 2 3]. 5.5 Forcing terms 1. For point force F i (x,t) = f i (t)δ(x x 0 ), W I F i d = W I (x 0 )f i (t) f i (t) if x 0 I = 0 if x 0 other grid point (29) l α (ξ(x 0 ))l β (ξ(x 0 ))l γ (ξ(x 0 ))f i (t) else x 0 e if x 0 has local parameter {ispec;ξ,η,ζ}, then compute the Lagrange polynomial at the source location. 2. For Moment tensor point force F i (x,t) = M i δ(x x 0 )g(t), W I F i d = M i W I (x 0 )g(t) (30) 5

6 Since W = W x and define G ik (ξ,η,ζ) = M i x, M i W I (x 0 ) = G ik W (ξ 0 ) = r,t,v = r,t,v l r (ξ 0 )l t (η 0 )l v (ζ 0 )G ik (ξ r,η t,ζ v ) ξk (l α (ξ r )l β (η t )l γ (ζ v )) l r (ξ 0 )l t (η 0 )l v (ζ 0 ) [G i1 (ξ r,η t,ζ v )l α(ξ r )l β (η t )l γ (ζ v )) + ] (31) 3. For body force field F i (x,t), W I F i d = e = e e W I e F i d e ω α ω β ω γ F αβγ i (t)j αβγ (32) 4. For surface force field F i (x,t) = Σ 0 τ i (x,t)δ(x x 0 )dσ 0, (monopoles on Σ 0 ) [ ] W I F i d = W I (x) τ i (x,t)δ(x x 0 )dσ 0 d (33) Σ 0 = τ i (x 0,t)W I (x 0 )dσ 0 (34) Σ 0 to compute this in practice, loop over surface elements, and then for each surface GLL point I = (α,β), Contr. to I th test function + = ω α ω β τ αβ J αβ (35) 5. For surface double couple force field F p (x,t) = Σ 0 u i (x,t)n C ipq q δ(x x 0 )dσ 0, assume that Σ 0 do not overlap with the surface Σ that encompasses, then [ ] W I F p d = W I (x) u i (x,t)n C ipq q δ dσ 0 d Σ [ 0 ] = W I (x)u i (x,t)n C ipq q δ(x x 0 )d W I (x) Σ 0 ( = q ui (t)n C ipq W I) (x 0 )dσ 0 (36) Σ 0 We define the corresponding moment density tensor m pq (t) = u i (t)n C ipq on Σ 0. In the case of a fault in an isotropic medium where u is perpendicular to n, m pq = µ(u p n q + u q n p ) is the standard moment density tensor that describes a seismic source. Now rewrite the above 6

7 expression: W I F i d = [ q m pq (t)w I + m pq(t) q W I ]dσ 0 Σ 0 (37) In practice, we store f p (t) = q m pq and m pq (t) in advance for each grid point of the surface Σ 0, then the above two terms can be calculated with ease in runtime. 5.6 Assemble Both Sides M s(t) = B + T + F(t) (38) We can update the acceleration at time t by s(t) = (M) 1 (B + T + F(t)) (39) Notice that M is diagonal (I I), B,T,F, s(t) are all vectors (I 1). Try loop over ispec and then (α,β,γ) to assemble the contribution of each grid point (in an element) into global matrices. This is true for all matrices, except the forcing term in which the contribution is added by looping over only elements that contain the forces and related GLL points. 6 Time Marching Schemes Newmark scheme Predictor: d n+1 = d n + v n t an ( t) 2 v n+1 = v n an t a n+1 = 0 (40) Corrector: a n+1 = (M) 1 (B + T + F n+1 ) v n+1 = v n an+1 t d n+1 = d n+1 (41) 7

The Spectral-Element Method: Introduction

The Spectral-Element Method: Introduction The Spectral-Element Method: Introduction Heiner Igel Department of Earth and Environmental Sciences Ludwig-Maximilians-University Munich Computational Seismology 1 / 59 Outline 1 Introduction 2 Lagrange

More information

8 A pseudo-spectral solution to the Stokes Problem

8 A pseudo-spectral solution to the Stokes Problem 8 A pseudo-spectral solution to the Stokes Problem 8.1 The Method 8.1.1 Generalities We are interested in setting up a pseudo-spectral method for the following Stokes Problem u σu p = f in Ω u = 0 in Ω,

More information

Analytical Mechanics: Elastic Deformation

Analytical Mechanics: Elastic Deformation Analytical Mechanics: Elastic Deformation Shinichi Hirai Dept. Robotics, Ritsumeikan Univ. Shinichi Hirai (Dept. Robotics, Ritsumeikan Univ.) Analytical Mechanics: Elastic Deformation / 59 Agenda Agenda

More information

Chapter 2. General concepts. 2.1 The Navier-Stokes equations

Chapter 2. General concepts. 2.1 The Navier-Stokes equations Chapter 2 General concepts 2.1 The Navier-Stokes equations The Navier-Stokes equations model the fluid mechanics. This set of differential equations describes the motion of a fluid. In the present work

More information

Method in 1D. Introduction of the Basic Concepts and Comparison to Optimal FD Operators

Method in 1D. Introduction of the Basic Concepts and Comparison to Optimal FD Operators The Spectral Element Method in 1D Introduction of the Basic Concepts and Comparison to Optimal FD Operators Seismology and Seismics Seminar 17.06.2003 Ludwigs-Maximilians-Universität München by Bernhard

More information

PEAT SEISMOLOGY Lecture 2: Continuum mechanics

PEAT SEISMOLOGY Lecture 2: Continuum mechanics PEAT8002 - SEISMOLOGY Lecture 2: Continuum mechanics Nick Rawlinson Research School of Earth Sciences Australian National University Strain Strain is the formal description of the change in shape of a

More information

FSI with Application in Hemodynamics Analysis and Simulation

FSI with Application in Hemodynamics Analysis and Simulation FSI with Application in Hemodynamics Analysis and Simulation Mária Lukáčová Institute of Mathematics, University of Mainz A. Hundertmark (Uni-Mainz) Š. Nečasová (Academy of Sciences, Prague) G. Rusnáková

More information

1. Basic Operations Consider two vectors a (1, 4, 6) and b (2, 0, 4), where the components have been expressed in a given orthonormal basis.

1. Basic Operations Consider two vectors a (1, 4, 6) and b (2, 0, 4), where the components have been expressed in a given orthonormal basis. Questions on Vectors and Tensors 1. Basic Operations Consider two vectors a (1, 4, 6) and b (2, 0, 4), where the components have been expressed in a given orthonormal basis. Compute 1. a. 2. The angle

More information

A High-Order Galerkin Solver for the Poisson Problem on the Surface of the Cubed Sphere

A High-Order Galerkin Solver for the Poisson Problem on the Surface of the Cubed Sphere A High-Order Galerkin Solver for the Poisson Problem on the Surface of the Cubed Sphere Michael Levy University of Colorado at Boulder Department of Applied Mathematics August 10, 2007 Outline 1 Background

More information

SPECIAL RELATIVITY AND ELECTROMAGNETISM

SPECIAL RELATIVITY AND ELECTROMAGNETISM SPECIAL RELATIVITY AND ELECTROMAGNETISM MATH 460, SECTION 500 The following problems (composed by Professor P.B. Yasskin) will lead you through the construction of the theory of electromagnetism in special

More information

Scientific Computing I

Scientific Computing I Scientific Computing I Module 8: An Introduction to Finite Element Methods Tobias Neckel Winter 2013/2014 Module 8: An Introduction to Finite Element Methods, Winter 2013/2014 1 Part I: Introduction to

More information

Implementation of the dg method

Implementation of the dg method Implementation of the dg method Matteo Cicuttin CERMICS - École Nationale des Ponts et Chaussées Marne-la-Vallée March 6, 2017 Outline Model problem, fix notation Representing polynomials Computing integrals

More information

. D CR Nomenclature D 1

. D CR Nomenclature D 1 . D CR Nomenclature D 1 Appendix D: CR NOMENCLATURE D 2 The notation used by different investigators working in CR formulations has not coalesced, since the topic is in flux. This Appendix identifies the

More information

Polynomial form of the Hilbert Einstein action

Polynomial form of the Hilbert Einstein action 1 Polynomial form of the Hilbert Einstein action M. O. Katanaev Steklov Mathematical Institute, Gubkin St. 8, Moscow, 119991, Russia arxiv:gr-qc/0507026v1 7 Jul 2005 6 July 2005 Abstract Configuration

More information

Lehrstuhl Informatik V. Lehrstuhl Informatik V. 1. solve weak form of PDE to reduce regularity properties. Lehrstuhl Informatik V

Lehrstuhl Informatik V. Lehrstuhl Informatik V. 1. solve weak form of PDE to reduce regularity properties. Lehrstuhl Informatik V Part I: Introduction to Finite Element Methods Scientific Computing I Module 8: An Introduction to Finite Element Methods Tobias Necel Winter 4/5 The Model Problem FEM Main Ingredients Wea Forms and Wea

More information

3. Numerical integration

3. Numerical integration 3. Numerical integration... 3. One-dimensional quadratures... 3. Two- and three-dimensional quadratures... 3.3 Exact Integrals for Straight Sided Triangles... 5 3.4 Reduced and Selected Integration...

More information

Shape Function Generation and Requirements

Shape Function Generation and Requirements Shape Function Generation and Requirements Requirements Requirements (A) Interpolation condition. Takes a unit value at node i, and is zero at all other nodes. Requirements (B) Local support condition.

More information

Math. 460, Sec. 500 Fall, Special Relativity and Electromagnetism

Math. 460, Sec. 500 Fall, Special Relativity and Electromagnetism Math. 460, Sec. 500 Fall, 2011 Special Relativity and Electromagnetism The following problems (composed by Professor P. B. Yasskin) will lead you through the construction of the theory of electromagnetism

More information

seismic wave propagation through spherical sections including anisotropy and visco-elastic dissipation 3D heterogeneities of all Earth model

seismic wave propagation through spherical sections including anisotropy and visco-elastic dissipation 3D heterogeneities of all Earth model seismic wave propagation through spherical sections including anisotropy and visco-elastic dissipation 3D heterogeneities of all Earth model properties inversion of seismic observables for 3D Earth structure

More information

WRT in 2D: Poisson Example

WRT in 2D: Poisson Example WRT in 2D: Poisson Example Consider 2 u f on [, L x [, L y with u. WRT: For all v X N, find u X N a(v, u) such that v u dv v f dv. Follows from strong form plus integration by parts: ( ) 2 u v + 2 u dx

More information

Homework 7-8 Solutions. Problems

Homework 7-8 Solutions. Problems Homework 7-8 Solutions Problems 26 A rhombus is a parallelogram with opposite sides of equal length Let us form a rhombus using vectors v 1 and v 2 as two adjacent sides, with v 1 = v 2 The diagonals of

More information

Conservation Laws & Applications

Conservation Laws & Applications Rocky Mountain Mathematics Consortium Summer School Conservation Laws & Applications Lecture V: Discontinuous Galerkin Methods James A. Rossmanith Department of Mathematics University of Wisconsin Madison

More information

Spinor Representation of Conformal Group and Gravitational Model

Spinor Representation of Conformal Group and Gravitational Model Spinor Representation of Conformal Group and Gravitational Model Kohzo Nishida ) arxiv:1702.04194v1 [physics.gen-ph] 22 Jan 2017 Department of Physics, Kyoto Sangyo University, Kyoto 603-8555, Japan Abstract

More information

Simulating Thin Shells with MPM

Simulating Thin Shells with MPM Simulating Thin Shells with MPM Biswajit Banerjee Center for the Simulation of Accidental Fires and xplosions University of Utah March 14, 2005 Outline The Problem. Shell Theory. MPM Formulation. Results.

More information

Energy and potential enstrophy flux constraints in quasi-geostrophic models

Energy and potential enstrophy flux constraints in quasi-geostrophic models Energy and potential enstrophy flux constraints in quasi-geostrophic models Eleftherios Gkioulekas University of Texas Rio Grande Valley August 25, 2017 Publications K.K. Tung and W.W. Orlando (2003a),

More information

Mathematics for Engineers. Numerical mathematics

Mathematics for Engineers. Numerical mathematics Mathematics for Engineers Numerical mathematics Integers Determine the largest representable integer with the intmax command. intmax ans = int32 2147483647 2147483647+1 ans = 2.1475e+09 Remark The set

More information

HYPERSONIC AERO-THERMO-DYNAMIC HEATING PREDICTION WITH HIGH-ORDER DISCONTINOUS GALERKIN SPECTRAL ELEMENT METHODS

HYPERSONIC AERO-THERMO-DYNAMIC HEATING PREDICTION WITH HIGH-ORDER DISCONTINOUS GALERKIN SPECTRAL ELEMENT METHODS 1 / 36 HYPERSONIC AERO-THERMO-DYNAMIC HEATING PREDICTION WITH HIGH-ORDER DISCONTINOUS GALERKIN SPECTRAL ELEMENT METHODS Jesús Garicano Mena, E. Valero Sánchez, G. Rubio Calzado, E. Ferrer Vaccarezza Universidad

More information

Generating Equidistributed Meshes in 2D via Domain Decomposition

Generating Equidistributed Meshes in 2D via Domain Decomposition Generating Equidistributed Meshes in 2D via Domain Decomposition Ronald D. Haynes and Alexander J. M. Howse 2 Introduction There are many occasions when the use of a uniform spatial grid would be prohibitively

More information

Hierarchical Parallel Solution of Stochastic Systems

Hierarchical Parallel Solution of Stochastic Systems Hierarchical Parallel Solution of Stochastic Systems Second M.I.T. Conference on Computational Fluid and Solid Mechanics Contents: Simple Model of Stochastic Flow Stochastic Galerkin Scheme Resulting Equations

More information

Algorithms for polynomial multidimensional spectral factorization and sum of squares

Algorithms for polynomial multidimensional spectral factorization and sum of squares Algorithms for polynomial multidimensional spectral factorization and sum of squares H.L. Trentelman University of Groningen, The Netherlands. Japan November 2007 Algorithms for polynomial multidimensional

More information

MA8502 Numerical solution of partial differential equations. The Poisson problem: Mixed Dirichlet/Neumann boundary conditions along curved boundaries

MA8502 Numerical solution of partial differential equations. The Poisson problem: Mixed Dirichlet/Neumann boundary conditions along curved boundaries MA85 Numerical solution of partial differential equations The Poisson problem: Mied Dirichlet/Neumann boundar conditions along curved boundaries Fall c Einar M. Rønquist Department of Mathematical Sciences

More information

Let M be a Riemannian manifold with Levi-Civita connection D. For X, Y, W Γ(TM), we have R(X, Y )Z = D Y D X Z D X D Y Z D [X,Y ] Z,

Let M be a Riemannian manifold with Levi-Civita connection D. For X, Y, W Γ(TM), we have R(X, Y )Z = D Y D X Z D X D Y Z D [X,Y ] Z, Let M be a Riemannian manifold with Levi-Civita connection D. For X, Y, W Γ(TM), we have R(X, Y )Z = D Y D X Z D X D Y Z D [X,Y ] Z, where R is the curvature tensor of D. We have Proposition 1. For any

More information

Spectral-Element and Adjoint Methods in Seismology

Spectral-Element and Adjoint Methods in Seismology Geophys. J. Int. (), Spectral-Element and Adjoint Methods in Seismology Jeroen Tromp Seismological Laboratory, California Institute of Technology, Pasadena, California 91125, USA 13 September 26 SUMMARY

More information

Chapter 7. Kinematics. 7.1 Tensor fields

Chapter 7. Kinematics. 7.1 Tensor fields Chapter 7 Kinematics 7.1 Tensor fields In fluid mechanics, the fluid flow is described in terms of vector fields or tensor fields such as velocity, stress, pressure, etc. It is important, at the outset,

More information

The effect of asymmetric large-scale dissipation on energy and potential enstrophy injection in two-layer quasi-geostrophic turbulence

The effect of asymmetric large-scale dissipation on energy and potential enstrophy injection in two-layer quasi-geostrophic turbulence The effect of asymmetric large-scale dissipation on energy and potential enstrophy injection in two-layer quasi-geostrophic turbulence Eleftherios Gkioulekas (1) and Ka-Kit Tung (2) (1) Department of Mathematics,

More information

Chapter Two: Numerical Methods for Elliptic PDEs. 1 Finite Difference Methods for Elliptic PDEs

Chapter Two: Numerical Methods for Elliptic PDEs. 1 Finite Difference Methods for Elliptic PDEs Chapter Two: Numerical Methods for Elliptic PDEs Finite Difference Methods for Elliptic PDEs.. Finite difference scheme. We consider a simple example u := subject to Dirichlet boundary conditions ( ) u

More information

A framework for monetary-policy analysis Overview Basic concepts: Goals, targets, intermediate targets, indicators, operating targets, instruments

A framework for monetary-policy analysis Overview Basic concepts: Goals, targets, intermediate targets, indicators, operating targets, instruments Eco 504, part 1, Spring 2006 504_L6_S06.tex Lars Svensson 3/6/06 A framework for monetary-policy analysis Overview Basic concepts: Goals, targets, intermediate targets, indicators, operating targets, instruments

More information

Hamiltonian Formulation of Piano String Lagrangian Density with Riemann-Liouville Fractional Definition

Hamiltonian Formulation of Piano String Lagrangian Density with Riemann-Liouville Fractional Definition Hamiltonian Formulation of Piano String Lagrangian Density with Riemann-Liouville Fractional Definition Emad K. Jaradat 1 1 Department of Physics, Mutah University, Al-Karak, Jordan Email: emad_jaradat75@yahoo.com;

More information

LEAST-SQUARES FINITE ELEMENT MODELS

LEAST-SQUARES FINITE ELEMENT MODELS LEAST-SQUARES FINITE ELEMENT MODELS General idea of the least-squares formulation applied to an abstract boundary-value problem Works of our group Application to Poisson s equation Application to flows

More information

Wave and Elasticity Equations

Wave and Elasticity Equations 1 Wave and lasticity quations Now let us consider the vibrating string problem which is modeled by the one-dimensional wave equation. Suppose that a taut string is suspended by its extremes at the points

More information

COURSE Numerical integration of functions

COURSE Numerical integration of functions COURSE 6 3. Numerical integration of functions The need: for evaluating definite integrals of functions that has no explicit antiderivatives or whose antiderivatives are not easy to obtain. Let f : [a,

More information

CIV-E1060 Engineering Computation and Simulation Examination, December 12, 2017 / Niiranen

CIV-E1060 Engineering Computation and Simulation Examination, December 12, 2017 / Niiranen CIV-E16 Engineering Computation and Simulation Examination, December 12, 217 / Niiranen This examination consists of 3 problems rated by the standard scale 1...6. Problem 1 Let us consider a long and tall

More information

An Introduction to Kaluza-Klein Theory

An Introduction to Kaluza-Klein Theory An Introduction to Kaluza-Klein Theory A. Garrett Lisi nd March Department of Physics, University of California San Diego, La Jolla, CA 993-39 gar@lisi.com Introduction It is the aim of Kaluza-Klein theory

More information

A Hybrid Method for the Wave Equation. beilina

A Hybrid Method for the Wave Equation.   beilina A Hybrid Method for the Wave Equation http://www.math.unibas.ch/ beilina 1 The mathematical model The model problem is the wave equation 2 u t 2 = (a 2 u) + f, x Ω R 3, t > 0, (1) u(x, 0) = 0, x Ω, (2)

More information

Lecture 4: Numerical solution of ordinary differential equations

Lecture 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 information

Georgia Tech PHYS 6124 Mathematical Methods of Physics I

Georgia Tech PHYS 6124 Mathematical Methods of Physics I Georgia Tech PHYS 6124 Mathematical Methods of Physics I Instructor: Predrag Cvitanović Fall semester 2012 Homework Set #6a due Thursday, October 25, 2012 Notes for lectures 14 and 15: Calculus on smooth

More information

MCE503: Modeling and Simulation of Mechatronic Systems. Modeling of Continuous Beams: Finite-Mode Approach

MCE503: Modeling and Simulation of Mechatronic Systems. Modeling of Continuous Beams: Finite-Mode Approach MCE503: Modeling and Simulation of Mechatronic Systems MCE503 p./23 Modeling of Continuous Beams: Finite-Mode Approach Reading: KMR Chapter 0 Cleveland State University Mechanical Engineering Hanz Richter,

More information

Vectors. Three dimensions. (a) Cartesian coordinates ds is the distance from x to x + dx. ds 2 = dx 2 + dy 2 + dz 2 = g ij dx i dx j (1)

Vectors. Three dimensions. (a) Cartesian coordinates ds is the distance from x to x + dx. ds 2 = dx 2 + dy 2 + dz 2 = g ij dx i dx j (1) Vectors (Dated: September017 I. TENSORS Three dimensions (a Cartesian coordinates ds is the distance from x to x + dx ds dx + dy + dz g ij dx i dx j (1 Here dx 1 dx, dx dy, dx 3 dz, and tensor g ij is

More information

Midterm Exam. Math 460, Fall October 2015

Midterm Exam. Math 460, Fall October 2015 Midterm Exam Math 460, Fall 2015 14 October 2015 1. This exam has 4 questions and 6 pages for a total of 110 points. Make sure you have all pages before you begin. 2. As a form of extra credit, the grade

More information

Overlapping Schwarz preconditioners for Fekete spectral elements

Overlapping Schwarz preconditioners for Fekete spectral elements Overlapping Schwarz preconditioners for Fekete spectral elements R. Pasquetti 1, L. F. Pavarino 2, F. Rapetti 1, and E. Zampieri 2 1 Laboratoire J.-A. Dieudonné, CNRS & Université de Nice et Sophia-Antipolis,

More information

Cohomology and Vector Bundles

Cohomology and Vector Bundles Cohomology and Vector Bundles Corrin Clarkson REU 2008 September 28, 2008 Abstract Vector bundles are a generalization of the cross product of a topological space with a vector space. Characteristic classes

More information

Partititioned Methods for Multifield Problems

Partititioned Methods for Multifield Problems Partititioned Methods for Multifield Problems Joachim Rang, 22.7.215 22.7.215 Joachim Rang Partititioned Methods for Multifield Problems Seite 1 Non-matching matches usually the fluid and the structure

More information

10. Linear Systems of ODEs, Matrix multiplication, superposition principle (parts of sections )

10. Linear Systems of ODEs, Matrix multiplication, superposition principle (parts of sections ) c Dr. Igor Zelenko, Fall 2017 1 10. Linear Systems of ODEs, Matrix multiplication, superposition principle (parts of sections 7.2-7.4) 1. When each of the functions F 1, F 2,..., F n in right-hand side

More information

Model order reduction of mechanical systems subjected to moving loads by the approximation of the input

Model order reduction of mechanical systems subjected to moving loads by the approximation of the input Model order reduction of mechanical systems subjected to moving loads by the approximation of the input Alexander Vasilyev, Tatjana Stykel Institut für Mathematik, Universität Augsburg ModRed 2013 MPI

More information

MA106 Linear Algebra lecture notes

MA106 Linear Algebra lecture notes MA106 Linear Algebra lecture notes Lecturers: Diane Maclagan and Damiano Testa 2017-18 Term 2 Contents 1 Introduction 3 2 Matrix review 3 3 Gaussian Elimination 5 3.1 Linear equations and matrices.......................

More information

Lecture notes: GE 263 Computational Geophysics The spectral element method

Lecture notes: GE 263 Computational Geophysics The spectral element method Lecture notes: GE 263 Computational Geophysics The spectral element method Jean-Paul Ampuero Abstract The spectral element method (SEM) is a high order numerical method for solving partial differential

More information

Background. Background. C. T. Kelley NC State University tim C. T. Kelley Background NCSU, Spring / 58

Background. Background. C. T. Kelley NC State University tim C. T. Kelley Background NCSU, Spring / 58 Background C. T. Kelley NC State University tim kelley@ncsu.edu C. T. Kelley Background NCSU, Spring 2012 1 / 58 Notation vectors, matrices, norms l 1 : max col sum... spectral radius scaled integral norms

More information

f dr. (6.1) f(x i, y i, z i ) r i. (6.2) N i=1

f dr. (6.1) f(x i, y i, z i ) r i. (6.2) N i=1 hapter 6 Integrals In this chapter we will look at integrals in more detail. We will look at integrals along a curve, and multi-dimensional integrals in 2 or more dimensions. In physics we use these integrals

More information

Finite Element simulations of a phase-field model for mode-iii fracture. by V. Kaushik

Finite Element simulations of a phase-field model for mode-iii fracture. by V. Kaushik Finite Element simulations of a phase-field model for mode-iii fracture. by V. Kaushik 1 Motivation The motivation behind this model is to understand the underlying physics behind branching of cracks during

More information

Mathematical Background

Mathematical Background CHAPTER ONE Mathematical Background This book assumes a background in the fundamentals of solid mechanics and the mechanical behavior of materials, including elasticity, plasticity, and friction. A previous

More information

SINC PACK, and Separation of Variables

SINC PACK, and Separation of Variables SINC PACK, and Separation of Variables Frank Stenger Abstract This talk consists of a proof of part of Stenger s SINC-PACK computer package (an approx. 400-page tutorial + about 250 Matlab programs) that

More information

General Curvilinear Ocean Model (GCOM): Enabling Thermodynamics

General Curvilinear Ocean Model (GCOM): Enabling Thermodynamics General Curvilinear Ocean Model (GCOM): Enabling Thermodynamics M. Abouali, C. Torres, R. Walls, G. Larrazabal, M. Stramska, D. Decchis, and J.E. Castillo AP0901 09 General Curvilinear Ocean Model (GCOM):

More information

Electricity & Magnetism Qualifier

Electricity & Magnetism Qualifier Electricity & Magnetism Qualifier For each problem state what system of units you are using. 1. Imagine that a spherical balloon is being filled with a charged gas in such a way that the rate of charge

More information

Particle-based Fluids

Particle-based Fluids Particle-based Fluids Particle Fluids Spatial Discretization Fluid is discretized using particles 3 Particles = Molecules? Particle approaches: Molecular Dynamics: relates each particle to one molecule

More information

Kasetsart University Workshop. Multigrid methods: An introduction

Kasetsart University Workshop. Multigrid methods: An introduction Kasetsart University Workshop Multigrid methods: An introduction Dr. Anand Pardhanani Mathematics Department Earlham College Richmond, Indiana USA pardhan@earlham.edu A copy of these slides is available

More information

Numerical Analysis Preliminary Exam 10 am to 1 pm, August 20, 2018

Numerical Analysis Preliminary Exam 10 am to 1 pm, August 20, 2018 Numerical Analysis Preliminary Exam 1 am to 1 pm, August 2, 218 Instructions. You have three hours to complete this exam. Submit solutions to four (and no more) of the following six problems. Please start

More information

Jim Lambers MAT 460/560 Fall Semester Practice Final Exam

Jim Lambers MAT 460/560 Fall Semester Practice Final Exam Jim Lambers MAT 460/560 Fall Semester 2009-10 Practice Final Exam 1. Let f(x) = sin 2x + cos 2x. (a) Write down the 2nd Taylor polynomial P 2 (x) of f(x) centered around x 0 = 0. (b) Write down the corresponding

More information

COURSE Numerical integration of functions (continuation) 3.3. The Romberg s iterative generation method

COURSE Numerical integration of functions (continuation) 3.3. The Romberg s iterative generation method COURSE 7 3. Numerical integration of functions (continuation) 3.3. The Romberg s iterative generation method The presence of derivatives in the remainder difficulties in applicability to practical problems

More information

Well-balanced DG scheme for Euler equations with gravity

Well-balanced DG scheme for Euler equations with gravity Well-balanced DG scheme for Euler equations with gravity Praveen Chandrashekar praveen@tifrbng.res.in Center for Applicable Mathematics Tata Institute of Fundamental Research Bangalore 560065 Higher Order

More information

The Pseudospectral Method

The Pseudospectral Method The Pseudospectral Method Heiner Igel Department of Earth and Environmental Sciences Ludwig-Maximilians-University Munich Heiner Igel Computational Seismology 1 / 34 Outline 1 Infinite Order Finite Differences

More information

Lecture 35: The Inertia Tensor

Lecture 35: The Inertia Tensor Lecture 35: The Inertia Tensor We found last time that the kinetic energy of a rotating obect was: 1 Trot = ωω i Ii where i, ( I m δ x x x i i, k, i, k So the nine numbers represented by the I i tell us

More information

Lecture V: The game-engine loop & Time Integration

Lecture V: The game-engine loop & Time Integration Lecture V: The game-engine loop & Time Integration The Basic Game-Engine Loop Previous state: " #, %(#) ( #, )(#) Forces -(#) Integrate velocities and positions Resolve Interpenetrations Per-body change

More information

1.8. Zeroth-Order Tensors (Scalars). A scalar is a single function (i.e., one component) which is invariant under

1.8. Zeroth-Order Tensors (Scalars). A scalar is a single function (i.e., one component) which is invariant under 1.8. Zeroth-Order Tensors (Scalars). A scalar is a single function (i.e., one component) which is invariant under changes of the coordinate systems. We deal with rectangular coordinate systems only. Thus

More information

Finite Element Method-Part II Isoparametric FE Formulation and some numerical examples Lecture 29 Smart and Micro Systems

Finite Element Method-Part II Isoparametric FE Formulation and some numerical examples Lecture 29 Smart and Micro Systems Finite Element Method-Part II Isoparametric FE Formulation and some numerical examples Lecture 29 Smart and Micro Systems Introduction Till now we dealt only with finite elements having straight edges.

More information

The second-order 1D wave equation

The second-order 1D wave equation C The second-order D wave equation C. Homogeneous wave equation with constant speed The simplest form of the second-order wave equation is given by: x 2 = Like the first-order wave equation, it responds

More information

AS Level / Year 1 Edexcel Further Maths / CP1

AS Level / Year 1 Edexcel Further Maths / CP1 AS Level / Year 1 Edexcel Further Maths / CP1 March 2018 Mocks 2018 crashmaths Limited 1 (a) n k(2k 3) = 2 k 2 k=1 k=1 n n Use linearity 3 k k=1 n k=1 k(2k 3) = 2 n 6 (n +1)(2n +1) 3 n 2 (n +1) Uses standard

More information

Finite Elements. Colin Cotter. January 15, Colin Cotter FEM

Finite Elements. Colin Cotter. January 15, Colin Cotter FEM Finite Elements January 15, 2018 Why Can solve PDEs on complicated domains. Have flexibility to increase order of accuracy and match the numerics to the physics. has an elegant mathematical formulation

More information

Well-balanced DG scheme for Euler equations with gravity

Well-balanced DG scheme for Euler equations with gravity Well-balanced DG scheme for Euler equations with gravity Praveen Chandrashekar praveen@tifrbng.res.in Center for Applicable Mathematics Tata Institute of Fundamental Research Bangalore 560065 Dept. of

More information

Mechanics Physics 151

Mechanics Physics 151 Mechanics Physics 151 Lecture 4 Continuous Systems and Fields (Chapter 13) What We Did Last Time Built Lagrangian formalism for continuous system Lagrangian L Lagrange s equation = L dxdydz Derived simple

More information

A MODIFIED DECOUPLED SCALED BOUNDARY-FINITE ELEMENT METHOD FOR MODELING 2D IN-PLANE-MOTION TRANSIENT ELASTODYNAMIC PROBLEMS IN SEMI-INFINITE MEDIA

A MODIFIED DECOUPLED SCALED BOUNDARY-FINITE ELEMENT METHOD FOR MODELING 2D IN-PLANE-MOTION TRANSIENT ELASTODYNAMIC PROBLEMS IN SEMI-INFINITE MEDIA 8 th GRACM International Congress on Computational Mechanics Volos, 2 July 5 July 205 A MODIFIED DECOUPLED SCALED BOUNDARY-FINITE ELEMENT METHOD FOR MODELING 2D IN-PLANE-MOTION TRANSIENT ELASTODYNAMIC

More information

On the hydrodynamic diffusion of rigid particles

On the hydrodynamic diffusion of rigid particles On the hydrodynamic diffusion of rigid particles O. Gonzalez Introduction Basic problem. Characterize how the diffusion and sedimentation properties of particles depend on their shape. Diffusion: Sedimentation:

More information

Physics of Continuous media

Physics of Continuous media Physics of Continuous media Sourendu Gupta TIFR, Mumbai, India Classical Mechanics 2012 October 26, 2012 Deformations of continuous media If a body is deformed, we say that the point which originally had

More information

On divergence-free reconstruction schemes for CED and MHD

On divergence-free reconstruction schemes for CED and MHD On divergence-free reconstruction schemes for CED and MHD Praveen Chandrashekar praveen@math.tifrbng.res.in Center for Applicable Mathematics Tata Institute of Fundamental Research Bangalore-560065, India

More information

1 Ordinary Differential Equations

1 Ordinary Differential Equations Ordinary Differential Equations.0 Mathematical Background.0. Smoothness Definition. A function f defined on [a, b] is continuous at ξ [a, b] if lim x ξ f(x) = f(ξ). Remark Note that this implies existence

More information

FDTD for 1D wave equation. Equation: 2 H Notations: o o. discretization. ( t) ( x) i i i i i

FDTD for 1D wave equation. Equation: 2 H Notations: o o. discretization. ( t) ( x) i i i i i FDTD for 1D wave equation Equation: 2 H = t 2 c2 2 H x 2 Notations: o t = nδδ, x = iδx o n H nδδ, iδx = H i o n E nδδ, iδx = E i discretization H 2H + H H 2H + H n+ 1 n n 1 n n n i i i 2 i+ 1 i i 1 = c

More information

NONLINEAR CONTINUUM FORMULATIONS CONTENTS

NONLINEAR CONTINUUM FORMULATIONS CONTENTS NONLINEAR CONTINUUM FORMULATIONS CONTENTS Introduction to nonlinear continuum mechanics Descriptions of motion Measures of stresses and strains Updated and Total Lagrangian formulations Continuum shell

More information

Cosmology. April 13, 2015

Cosmology. April 13, 2015 Cosmology April 3, 205 The cosmological principle Cosmology is based on the principle that on large scales, space (not spacetime) is homogeneous and isotropic that there is no preferred location or direction

More information

Axioms of Adaptivity (AoA) in Lecture 2 (sufficient for optimal convergence rates)

Axioms of Adaptivity (AoA) in Lecture 2 (sufficient for optimal convergence rates) Axioms of Adaptivity (AoA) in Lecture 2 (sufficient for optimal convergence rates) Carsten Carstensen Humboldt-Universität zu Berlin 2018 International Graduate Summer School on Frontiers of Applied and

More information

Extra Problems and Examples

Extra Problems and Examples Extra Problems and Examples Steven Bellenot October 11, 2007 1 Separation of Variables Find the solution u(x, y) to the following equations by separating variables. 1. u x + u y = 0 2. u x u y = 0 answer:

More information

Mathematical Concepts & Notation

Mathematical Concepts & Notation Mathematical Concepts & Notation Appendix A: Notation x, δx: a small change in x t : the partial derivative with respect to t holding the other variables fixed d : the time derivative of a quantity that

More information

Topology Optimization Using the SIMP Method

Topology Optimization Using the SIMP Method Fabian Wein Introduction Introduction About this document This is a fragment of a talk given interally Intended for engineers and mathematicians SIMP basics Detailed introduction (based on linear elasticity)

More information

Spectral Elements. Introduction recalling the elastic wave equation

Spectral Elements. Introduction recalling the elastic wave equation Spectral Elements Introduction recalling the elastic wave equation The spectral-element method: General concept domain mapping from space-continuous to space-discrete time extrapolation Gauss-Lobatto-Legendre

More information

A Space-Time Expansion Discontinuous Galerkin Scheme with Local Time-Stepping for the Ideal and Viscous MHD Equations

A Space-Time Expansion Discontinuous Galerkin Scheme with Local Time-Stepping for the Ideal and Viscous MHD Equations A Space-Time Expansion Discontinuous Galerkin Scheme with Local Time-Stepping for the Ideal and Viscous MHD Equations Ch. Altmann, G. Gassner, F. Lörcher, C.-D. Munz Numerical Flow Models for Controlled

More information

Maria Cameron Theoretical foundations. Let. be a partition of the interval [a, b].

Maria Cameron Theoretical foundations. Let. be a partition of the interval [a, b]. Maria Cameron 1 Interpolation by spline functions Spline functions yield smooth interpolation curves that are less likely to exhibit the large oscillations characteristic for high degree polynomials Splines

More information

A STABLE PENALTY METHOD FOR THE COMPRESSIBLE NAVIER STOKES EQUATIONS: III. MULTIDIMENSIONAL DOMAIN DECOMPOSITION SCHEMES

A STABLE PENALTY METHOD FOR THE COMPRESSIBLE NAVIER STOKES EQUATIONS: III. MULTIDIMENSIONAL DOMAIN DECOMPOSITION SCHEMES SIAM J. SCI. COMPUT. Vol. 20, No., pp. 62 93 c 998 Society for Industrial and Applied Mathematics A STABLE PENALTY METHOD FOR THE COMPRESSIBLE NAVIER STOKES EQUATIONS: III. MULTIDIMENSIONAL DOMAIN DECOMPOSITION

More information

Physics 325: General Relativity Spring Final Review Problem Set

Physics 325: General Relativity Spring Final Review Problem Set Physics 325: General Relativity Spring 2012 Final Review Problem Set Date: Friday 4 May 2012 Instructions: This is the third of three review problem sets in Physics 325. It will count for twice as much

More information

A High Order Conservative Semi-Lagrangian Discontinuous Galerkin Method for Two-Dimensional Transport Simulations

A High Order Conservative Semi-Lagrangian Discontinuous Galerkin Method for Two-Dimensional Transport Simulations Motivation Numerical methods Numerical tests Conclusions A High Order Conservative Semi-Lagrangian Discontinuous Galerkin Method for Two-Dimensional Transport Simulations Xiaofeng Cai Department of Mathematics

More information

Curved Spacetime I. Dr. Naylor

Curved Spacetime I. Dr. Naylor Curved Spacetime I Dr. Naylor Last Week Einstein's principle of equivalence We discussed how in the frame of reference of a freely falling object we can construct a locally inertial frame (LIF) Space tells

More information

Computational Methods in Optimal Control Lecture 8. hp-collocation

Computational Methods in Optimal Control Lecture 8. hp-collocation Computational Methods in Optimal Control Lecture 8. hp-collocation William W. Hager July 26, 2018 10,000 Yen Prize Problem (google this) Let p be a polynomial of degree at most N and let 1 < τ 1 < τ 2

More information