Interface and contact problems
|
|
- Eugenia Hines
- 5 years ago
- Views:
Transcription
1 Interface and contact problems Heiko Gimperlein Heriot Watt University and Maxwell Institute, Edinburgh and Universität Paderborn TU Wien May 30, 2016 H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 1 / 7
2 Which equations describe materials in contact? Basic principle: Energy is additive For a system composed of two subsystems Total Energy = Energy of 1 + Energy of 2 + Interaction betw. 1/2. In elastic problems, the interaction might correspond to friction between 1/2, surface energy etc. localized on Γ c =contact area (Interaction betw. 1/2) = dx Γ C Nature minimizes Total Energy over physically allowed configurations. In this course this will lead to unconstrained, smooth variational problems PDE variational problems not C 1 or constrained variational inequalities H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 2 / 7
3 Energy H. Gimperlein (Edinburgh) Numerical Analysis of Real Materials AIMS 5 / 23
4 Total energy Energy(u) 1 2 ε(u) : Cε(u) dx = W(ε(u(x))) dx Here ε(u) = 1 2 ( u+ ut ), u = x1 u 1 x2 u 1 x3 u 1 x1 u 2 x2 u 2 x3 u 2 x1 u 3 x2 u 3 x3 u 3. The integrand is 3 i,j,k,l=1 ε ij C ijkl ε kl. Large u quadratic approximation bad. Properties of energy density physics W(ε(u)) convex function larger deformations require larger force W(ε(u)) nonconvex function: phase transitions! H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 3 / 7
5 Nature minimizes energy For simplicity, we will mostly consider a toy problem: u : R scalar function. u instead of ε(u) = 1 2 ( u+ ut ). simplest energy (with force f ) is given by Energy(u) = 1 (D(x) u(x)) u(x) dx 2 Nature finds (local) minimizers of the energy: f(x)u(x) dx denergy du What does denergy du mean? For all physically reasonable h : R d E(u+th) dt t=0 H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 4 / 7
6 Nature minimizes energy differential equations Energy(u) = 1 2 (D u) u dx fu dx R n bounded, force f, both nice. D = 1, n unit normal vector to. Theorem u minimizes Energy(v) = 1 2 ( v)2 fv over H1 () u H 1 v () solves v = f, n H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 5 / 7
7 Nature minimizes energy differential equations Energy(u) = 1 2 (D u) u dx fu dx R n bounded, force f, both nice. D = 1, n unit normal vector to. Theorem u minimizes Energy(v) = 1 2 ( v)2 fv over H1 () u H 1 v () solves v = f, n Proof: h H 1 () E(u+h) E(u) = 1 ( u+ h) 2 f(u+h) = u h fh+ 1 ( h) 2 2 = ( u+f)h+ (n u)h+ 1 2 ( u) 2 + ( h) 2 H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 5 / 7 fu
8 Nature minimizes energy differential equations Theorem u minimizes Energy(v) = 1 2 ( v)2 fv over H1 () u H 1 v () solves v = f, n Proof: h H 1 () E(u+h) E(u) = 1 ( u+ h) 2 f(u+h) 1 ( u) 2 + fu 2 2 = u h fh+ 1 ( h) 2 2 = ( u+f)h+ (n u)h+ 1 ( h) 2 2 = If u = f, v n E(u+h) E(u) ( h)2 0 H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 5 / 7
9 Nature minimizes energy differential equations Theorem u minimizes Energy(v) = 1 2 ( v)2 fv over H1 () u H 1 v () solves v = f, n Proof: h H 1 () E(u+h) E(u) = 1 ( u+ h) 2 f(u+h) 1 ( u) 2 + fu 2 2 = u h fh+ 1 ( h) 2 2 = ( u+f)h+ (n u)h+ 1 ( h) 2 2 = If u = f, v n E(u+h) E(u) ( h)2 0 = E(u+λh) E(u) = λ ( ( u+f)h+ (n u)h) + λ2 2 ( h)2 0. For all λ R ( u+f)h+ (n u)h. H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 5 / 7
10 Nature minimizes energy differential equations Theorem u minimizes Energy(v) = 1 2 ( v)2 fv over H1 () u H 1 v () solves v = f, n = E(u+λh) E(u) = λ ( ( u+f)h+ (n u)h) + λ2 2 For all λ R ( u+f)h+ (n u)h. For all h H0 1 ( u+f)h, therefore u+f a.e. Thus, for all h H 1 (n u)h, therefore n u a.e. ( h)2 0. H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 5 / 7
11 Nature minimizes energy differential equations Theorem u minimizes Energy(v) = 1 2 ( v)2 fv over H1 () u H 1 v () solves v = f, n inhomogeneous/anisotropic energy: E(u) = 1 2 ( u(x))t D(x) u(x) fu, D = Dt > 0 div (D u) = f H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 5 / 7
12 Examples of nonlinear operators E(u) = 1 2 ( u(x))t D(x) u(x) fu div (D u) = f p-laplace: E(u) = 1 p u p fu div ( u p 2 u) = f, p (1, ) p < 2 hair gel, glaciers, p > 2 thick emulsion of sand and water phase transitions / bistable materials: double well potential E(u) = (from S. Müller) u (1, 0) 2 u (0, 1) 2 fu H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 6 / 7
13 Boundary conditions Neumann and Dirichlet: Contact: Signorini (= nonpenetration, wall) and friction ( wall) H. Gimperlein (Edinburgh) Interface and contact problems TU Wien 7 / 7
Weak Convergence Methods for Energy Minimization
Weak Convergence Methods for Energy Minimization Bo Li Department of Mathematics University of California, San Diego E-mail: bli@math.ucsd.edu June 3, 2007 Introduction This compact set of notes present
More informationTime domain boundary elements for dynamic contact problems
Time domain boundary elements for dynamic contact problems Heiko Gimperlein (joint with F. Meyer 3, C. Özdemir 4, D. Stark, E. P. Stephan 4 ) : Heriot Watt University, Edinburgh, UK 2: Universität Paderborn,
More informationLECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES)
LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) RAYTCHO LAZAROV 1 Notations and Basic Functional Spaces Scalar function in R d, d 1 will be denoted by u,
More informationBoundary conditions. Diffusion 2: Boundary conditions, long time behavior
Boundary conditions In a domain Ω one has to add boundary conditions to the heat (or diffusion) equation: 1. u(x, t) = φ for x Ω. Temperature given at the boundary. Also density given at the boundary.
More informationNumerical Methods for PDEs
Numerical Methods for PDEs Partial Differential Equations (Lecture 1, Week 1) Markus Schmuck Department of Mathematics and Maxwell Institute for Mathematical Sciences Heriot-Watt University, Edinburgh
More informationModeling using conservation laws. Let u(x, t) = density (heat, momentum, probability,...) so that. u dx = amount in region R Ω. R
Modeling using conservation laws Let u(x, t) = density (heat, momentum, probability,...) so that u dx = amount in region R Ω. R Modeling using conservation laws Let u(x, t) = density (heat, momentum, probability,...)
More informationOn Multigrid for Phase Field
On Multigrid for Phase Field Carsten Gräser (FU Berlin), Ralf Kornhuber (FU Berlin), Rolf Krause (Uni Bonn), and Vanessa Styles (University of Sussex) Interphase 04 Rome, September, 13-16, 2004 Synopsis
More informationEntropy-dissipation methods I: Fokker-Planck equations
1 Entropy-dissipation methods I: Fokker-Planck equations Ansgar Jüngel Vienna University of Technology, Austria www.jungel.at.vu Introduction Boltzmann equation Fokker-Planck equations Degenerate parabolic
More informationEntropy and Relative Entropy
Entropy and Relative Entropy Joshua Ballew University of Maryland October 24, 2012 Outline Hyperbolic PDEs Entropy/Entropy Flux Pairs Relative Entropy Weak-Strong Uniqueness Weak-Strong Uniqueness for
More informationNumerical Solutions of Geometric Partial Differential Equations. Adam Oberman McGill University
Numerical Solutions of Geometric Partial Differential Equations Adam Oberman McGill University Sample Equations and Schemes Fully Nonlinear Pucci Equation! "#+ "#* "#) "#( "#$ "#' "#& "#% "#! "!!!"#$ "
More informationOptimal Boundary Control of a Nonlinear Di usion Equation y
AppliedMathematics E-Notes, (00), 97-03 c Availablefreeatmirrorsites ofhttp://math.math.nthu.edu.tw/»amen/ Optimal Boundary Control of a Nonlinear Di usion Equation y Jing-xueYin z,wen-meihuang x Received6
More information2 A: The Shallow Water Equations
2 A: The Shallow Water Equations 2.1 Surface motions on shallow water Consider two-dimensional (x-z) motions on a nonrotating, shallow body of water, of uniform density, as shown in Fig. 1 below. The ow
More informationVariational Principles for Equilibrium Physical Systems
Variational Principles for Equilibrium Physical Systems 1. Variational Principles One way of deriving the governing equations for a physical system is the express the relevant conservation statements and
More informationAn example of nonuniqueness for the continuous static unilateral contact model with Coulomb friction
An example of nonuniqueness for the continuous static unilateral contact model with Coulomb friction Un exemple de non-unicité pour le modèle continu statique de contact unilatéral avec frottement de Coulomb
More informationModelling of interfaces and free boundaries
University of Regensburg Regensburg, March 2009 Outline 1 Introduction 2 Obstacle problems 3 Stefan problem 4 Shape optimization Introduction What is a free boundary problem? Solve a partial differential
More informationLECTURE 3: DISCRETE GRADIENT FLOWS
LECTURE 3: DISCRETE GRADIENT FLOWS Department of Mathematics and Institute for Physical Science and Technology University of Maryland, USA Tutorial: Numerical Methods for FBPs Free Boundary Problems and
More informationNotes on Cellwise Data Interpolation for Visualization Xavier Tricoche
Notes on Cellwise Data Interpolation for Visualization Xavier Tricoche urdue University While the data (computed or measured) used in visualization is only available in discrete form, it typically corresponds
More informationObstacle problems and isotonicity
Obstacle problems and isotonicity Thomas I. Seidman Revised version for NA-TMA: NA-D-06-00007R1+ [June 6, 2006] Abstract For variational inequalities of an abstract obstacle type, a comparison principle
More informationOn Nonlinear Dirichlet Neumann Algorithms for Jumping Nonlinearities
On Nonlinear Dirichlet Neumann Algorithms for Jumping Nonlinearities Heiko Berninger, Ralf Kornhuber, and Oliver Sander FU Berlin, FB Mathematik und Informatik (http://www.math.fu-berlin.de/rd/we-02/numerik/)
More informationGradient Estimate of Mean Curvature Equations and Hessian Equations with Neumann Boundary Condition
of Mean Curvature Equations and Hessian Equations with Neumann Boundary Condition Xinan Ma NUS, Dec. 11, 2014 Four Kinds of Equations Laplace s equation: u = f(x); mean curvature equation: div( Du ) =
More informationCalculus of Variations. Final Examination
Université Paris-Saclay M AMS and Optimization January 18th, 018 Calculus of Variations Final Examination Duration : 3h ; all kind of paper documents (notes, books...) are authorized. The total score of
More informationMath background. Physics. Simulation. Related phenomena. Frontiers in graphics. Rigid fluids
Fluid dynamics Math background Physics Simulation Related phenomena Frontiers in graphics Rigid fluids Fields Domain Ω R2 Scalar field f :Ω R Vector field f : Ω R2 Types of derivatives Derivatives measure
More informationLecture No 1 Introduction to Diffusion equations The heat equat
Lecture No 1 Introduction to Diffusion equations The heat equation Columbia University IAS summer program June, 2009 Outline of the lectures We will discuss some basic models of diffusion equations and
More informationNumerical methods for the Navier- Stokes equations
Numerical methods for the Navier- Stokes equations Hans Petter Langtangen 1,2 1 Center for Biomedical Computing, Simula Research Laboratory 2 Department of Informatics, University of Oslo Dec 6, 2012 Note:
More informationINTRODUCTION TO PDEs
INTRODUCTION TO PDEs In this course we are interested in the numerical approximation of PDEs using finite difference methods (FDM). We will use some simple prototype boundary value problems (BVP) and initial
More informationPDEs in Image Processing, Tutorials
PDEs in Image Processing, Tutorials Markus Grasmair Vienna, Winter Term 2010 2011 Direct Methods Let X be a topological space and R: X R {+ } some functional. following definitions: The mapping R is lower
More informationPROBLEM OF CRACK UNDER QUASIBRITTLE FRACTURE V.A. KOVTUNENKO
PROBLEM OF CRACK UNDER QUASIBRITTLE FRACTURE V.A. KOVTUNENKO Overview: 1. Motivation 1.1. Evolutionary problem of crack propagation 1.2. Stationary problem of crack equilibrium 1.3. Interaction (contact+cohesion)
More informationExistence and uniqueness of the weak solution for a contact problem
Available online at www.tjnsa.com J. Nonlinear Sci. Appl. 9 (216), 186 199 Research Article Existence and uniqueness of the weak solution for a contact problem Amar Megrous a, Ammar Derbazi b, Mohamed
More informationApplied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems.
Printed Name: Signature: Applied Math Qualifying Exam 11 October 2014 Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems. 2 Part 1 (1) Let Ω be an open subset of R
More informationFrom nonlocal to local Cahn-Hilliard equation. Stefano Melchionna Helene Ranetbauer Lara Trussardi. Uni Wien (Austria) September 18, 2018
From nonlocal to local Cahn-Hilliard equation Stefano Melchionna Helene Ranetbauer Lara Trussardi Uni Wien (Austria) September 18, 2018 SFB P D ME S. Melchionna, H. Ranetbauer, L.Trussardi From nonlocal
More informationExistence and Uniqueness of the Weak Solution for a Contact Problem
Available online at www.tjnsa.com J. Nonlinear Sci. Appl. x (215), 1 15 Research Article Existence and Uniqueness of the Weak Solution for a Contact Problem Amar Megrous a, Ammar Derbazi b, Mohamed Dalah
More informationConservation and dissipation principles for PDEs
Conservation and dissipation principles for PDEs Modeling through conservation laws The notion of conservation - of number, energy, mass, momentum - is a fundamental principle that can be used to derive
More informationOn second order sufficient optimality conditions for quasilinear elliptic boundary control problems
On second order sufficient optimality conditions for quasilinear elliptic boundary control problems Vili Dhamo Technische Universität Berlin Joint work with Eduardo Casas Workshop on PDE Constrained Optimization
More informationON THE ANALYSIS OF A VISCOPLASTIC CONTACT PROBLEM WITH TIME DEPENDENT TRESCA S FRIC- TION LAW
Electron. J. M ath. Phys. Sci. 22, 1, 1,47 71 Electronic Journal of Mathematical and Physical Sciences EJMAPS ISSN: 1538-263X www.ejmaps.org ON THE ANALYSIS OF A VISCOPLASTIC CONTACT PROBLEM WITH TIME
More informationRelevant self-assessment exercises: [LIST SELF-ASSESSMENT EXERCISES HERE]
Chapter 6 Finite Volume Methods In the previous chapter we have discussed finite difference methods for the discretization of PDEs. In developing finite difference methods we started from the differential
More informationHeterogeneous Elasto-plasticity
Heterogeneous Elasto-plasticity πλάσσειν G. F. & Alessandro Giacomini Small strain elastoplasticity Small strain elasto-plasticity the rheology A model with brake and spring: ε p ε σ with σ σ c ε p 0 σ
More informationApplied PDEs: Analysis and Computation
Applied PDEs: Analysis and Computation Hailiang Liu hliu@iastate.edu Iowa State University Tsinghua University May 07 June 16, 2012 1 / 15 Lecture #1: Introduction May 09, 2012 Model, Estimate and Algorithm=MEA
More informationAnalysis of a herding model in social economics
Analysis of a herding model in social economics Lara Trussardi 1 Ansgar Jüngel 1 C. Kühn 1 1 Technische Universität Wien Taormina - June 13, 2014 www.itn-strike.eu L. Trussardi, A. Jüngel, C. Kühn (TUW)
More informationEXISTENCE OF SOLUTIONS TO THE CAHN-HILLIARD/ALLEN-CAHN EQUATION WITH DEGENERATE MOBILITY
Electronic Journal of Differential Equations, Vol. 216 216), No. 329, pp. 1 22. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu EXISTENCE OF SOLUTIONS TO THE CAHN-HILLIARD/ALLEN-CAHN
More informationSolving approximate cloaking problems using finite element methods
Solving approximate cloaking problems using finite element methods Q. T. Le Gia 1 H. Gimperlein M. Maischak 3 E. P. Stephan 4 June, 017 Abstract Motivating from the approximate cloaking problem, we consider
More informationTable of Contents. II. PDE classification II.1. Motivation and Examples. II.2. Classification. II.3. Well-posedness according to Hadamard
Table of Contents II. PDE classification II.. Motivation and Examples II.2. Classification II.3. Well-posedness according to Hadamard Chapter II (ContentChapterII) Crashtest: Reality Simulation http:www.ara.comprojectssvocrownvic.htm
More information1. Let a(x) > 0, and assume that u and u h are the solutions of the Dirichlet problem:
Mathematics Chalmers & GU TMA37/MMG800: Partial Differential Equations, 011 08 4; kl 8.30-13.30. Telephone: Ida Säfström: 0703-088304 Calculators, formula notes and other subject related material are not
More informationTheory of PDE Homework 2
Theory of PDE Homework 2 Adrienne Sands April 18, 2017 In the following exercises we assume the coefficients of the various PDE are smooth and satisfy the uniform ellipticity condition. R n is always an
More informationConstrained optimization. Unconstrained optimization. One-dimensional. Multi-dimensional. Newton with equality constraints. Active-set method.
Optimization Unconstrained optimization One-dimensional Multi-dimensional Newton s method Basic Newton Gauss- Newton Quasi- Newton Descent methods Gradient descent Conjugate gradient Constrained optimization
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 informationFine scales of decay rates of operator semigroups
Operator Semigroups meet everything else Herrnhut, 5 June 2013 A damped wave equation 2 u u + 2a(x) u t2 t = 0 (t > 0, x Ω) u(x, t) = 0 (t > 0, x Ω) u(, 0) = u 0 H0 1 (Ω), u t (, 0) = u 1 L 2 (Ω). Here,
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 informationDirichlet s principle and well posedness of steady state solutions in peridynamics
Dirichlet s principle and well posedness of steady state solutions in peridynamics Petronela Radu Work supported by NSF - DMS award 0908435 January 19, 2011 The steady state peridynamic model Consider
More informationFROM VARIATIONAL TO HEMIVARIATIONAL INEQUALITIES
An. Şt. Univ. Ovidius Constanţa Vol. 12(2), 2004, 41 50 FROM VARIATIONAL TO HEMIVARIATIONAL INEQUALITIES Panait Anghel and Florenta Scurla To Professor Dan Pascali, at his 70 s anniversary Abstract A general
More information2 A Model, Harmonic Map, Problem
ELLIPTIC SYSTEMS JOHN E. HUTCHINSON Department of Mathematics School of Mathematical Sciences, A.N.U. 1 Introduction Elliptic equations model the behaviour of scalar quantities u, such as temperature or
More informationPartial regularity for fully nonlinear PDE
Partial regularity for fully nonlinear PDE Luis Silvestre University of Chicago Joint work with Scott Armstrong and Charles Smart Outline Introduction Intro Review of fully nonlinear elliptic PDE Our result
More informationSolution Sheet 3. Solution Consider. with the metric. We also define a subset. and thus for any x, y X 0
Solution Sheet Throughout this sheet denotes a domain of R n with sufficiently smooth boundary. 1. Let 1 p
More informationBIHARMONIC WAVE MAPS INTO SPHERES
BIHARMONIC WAVE MAPS INTO SPHERES SEBASTIAN HERR, TOBIAS LAMM, AND ROLAND SCHNAUBELT Abstract. A global weak solution of the biharmonic wave map equation in the energy space for spherical targets is constructed.
More informationON THE EXISTENCE OF THREE SOLUTIONS FOR QUASILINEAR ELLIPTIC PROBLEM. Paweł Goncerz
Opuscula Mathematica Vol. 32 No. 3 2012 http://dx.doi.org/10.7494/opmath.2012.32.3.473 ON THE EXISTENCE OF THREE SOLUTIONS FOR QUASILINEAR ELLIPTIC PROBLEM Paweł Goncerz Abstract. We consider a quasilinear
More informationMathematical analysis of the stationary Navier-Stokes equations
Mathematical analysis of the Department of Mathematics, Sogang University, Republic of Korea The 3rd GCOE International Symposium Weaving Science Web beyond Particle Matter Hierarchy February 17-19, 2011,
More informationIntroduction to Partial Differential Equations
Introduction to Partial Differential Equations Philippe B. Laval KSU Current Semester Philippe B. Laval (KSU) Key Concepts Current Semester 1 / 25 Introduction The purpose of this section is to define
More informationResolvent Estimates and Quantification of Nonlinear Stability
Resolvent Estimates and Quantification of Nonlinear Stability Heinz Otto Kreiss Department of Mathematics, UCLA, Los Angeles, CA 995 Jens Lorenz Department of Mathematics and Statistics, UNM, Albuquerque,
More informationA simple FEM solver and its data parallelism
A simple FEM solver and its data parallelism Gundolf Haase Institute for Mathematics and Scientific Computing University of Graz, Austria Chile, Jan. 2015 Partial differential equation Considered Problem
More informationNumerical Simulations on Two Nonlinear Biharmonic Evolution Equations
Numerical Simulations on Two Nonlinear Biharmonic Evolution Equations Ming-Jun Lai, Chun Liu, and Paul Wenston Abstract We numerically simulate the following two nonlinear evolution equations with a fourth
More information4F3 - Predictive Control
4F3 Predictive Control - Lecture 3 p 1/21 4F3 - Predictive Control Lecture 3 - Predictive Control with Constraints Jan Maciejowski jmm@engcamacuk 4F3 Predictive Control - Lecture 3 p 2/21 Constraints on
More informationquantitative information on the error caused by using the solution of the linear problem to describe the response of the elastic material on a corner
Quantitative Justication of Linearization in Nonlinear Hencky Material Problems 1 Weimin Han and Hong-ci Huang 3 Abstract. The classical linear elasticity theory is based on the assumption that the size
More informationFinite volume method for conservation laws V
Finite volume method for conservation laws V Schemes satisfying entropy condition Praveen. C praveen@math.tifrbng.res.in Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore
More informationMath Partial Differential Equations 1
Math 9 - Partial Differential Equations Homework 5 and Answers. The one-dimensional shallow water equations are h t + (hv) x, v t + ( v + h) x, or equivalently for classical solutions, h t + (hv) x, (hv)
More informationLecture No 2 Degenerate Diffusion Free boundary problems
Lecture No 2 Degenerate Diffusion Free boundary problems Columbia University IAS summer program June, 2009 Outline We will discuss non-linear parabolic equations of slow diffusion. Our model is the porous
More informationSecond Order Elliptic PDE
Second Order Elliptic PDE T. Muthukumar tmk@iitk.ac.in December 16, 2014 Contents 1 A Quick Introduction to PDE 1 2 Classification of Second Order PDE 3 3 Linear Second Order Elliptic Operators 4 4 Periodic
More informationThe Weierstrass Theory For Elliptic Functions. The Burn 2007
The Weierstrass Theory For Elliptic Functions Including The Generalisation To Higher Genus Department of Mathematics, MACS Heriot Watt University Edinburgh The Burn 2007 Outline Elliptic Function Theory
More informationGradient Descent and Implementation Solving the Euler-Lagrange Equations in Practice
1 Lecture Notes, HCI, 4.1.211 Chapter 2 Gradient Descent and Implementation Solving the Euler-Lagrange Equations in Practice Bastian Goldlücke Computer Vision Group Technical University of Munich 2 Bastian
More informationThe Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation:
Oct. 1 The Dirichlet s P rinciple In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: 1. Dirichlet s Principle. u = in, u = g on. ( 1 ) If we multiply
More informationThe Hopf equation. The Hopf equation A toy model of fluid mechanics
The Hopf equation A toy model of fluid mechanics 1. Main physical features Mathematical description of a continuous medium At the microscopic level, a fluid is a collection of interacting particles (Van
More informationA Ginzburg-Landau Type Problem for Nematics with Highly Anisotropic Elastic Term
A Ginzburg-Landau Type Problem for Nematics with Highly Anisotropic Elastic Term Peter Sternberg In collaboration with Dmitry Golovaty (Akron) and Raghav Venkatraman (Indiana) Department of Mathematics
More informationRitz Method. Introductory Course on Multiphysics Modelling
Ritz Method Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pan.pl/ tzielins/ Institute of Fundamental Technological Research of the Polish Academy of Sciences Warsaw Poland
More informationAM 205: lecture 14. Last time: Boundary value problems Today: Numerical solution of PDEs
AM 205: lecture 14 Last time: Boundary value problems Today: Numerical solution of PDEs ODE BVPs A more general approach is to formulate a coupled system of equations for the BVP based on a finite difference
More informationA Very Brief Introduction to Conservation Laws
A Very Brief Introduction to Wen Shen Department of Mathematics, Penn State University Summer REU Tutorial, May 2013 Summer REU Tutorial, May 2013 1 / The derivation of conservation laws A conservation
More informationSUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS
SUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS A. RÖSCH AND R. SIMON Abstract. An optimal control problem for an elliptic equation
More informationConvergence of Finite Volumes schemes for an elliptic-hyperbolic system with boundary conditions
Convergence of Finite Volumes schemes for an elliptic-hyperbolic system with boundary conditions Marie Hélène Vignal UMPA, E.N.S. Lyon 46 Allée d Italie 69364 Lyon, Cedex 07, France abstract. We are interested
More informationNumerical Methods for Partial Differential Equations
Numerical Methods for Partial Differential Equations Eric de Sturler University of Illinois at Urbana-Champaign Read section 8. to see where equations of type (au x ) x = f show up and their (exact) solution
More informationNumerical Methods for Partial Differential Equations
Numerical Methods for Partial Differential Equations Eric de Sturler University of Illinois at Urbana-Champaign The calculus of variations deals with maxima, minima, and stationary values of (definite)
More informationChapter 12. Partial di erential equations Di erential operators in R n. The gradient and Jacobian. Divergence and rotation
Chapter 12 Partial di erential equations 12.1 Di erential operators in R n The gradient and Jacobian We recall the definition of the gradient of a scalar function f : R n! R, as @f grad f = rf =,..., @f
More informationTHE control variational method was introduced in the papers
Proceedings of the International MultiConference of Engineers and Computer Scientists 23 Vol I, IMECS 23, March 3-5, 23, Hong Kong Optimal Control Methods and the Variational Approach to Differential Equations
More informationA review of stability and dynamical behaviors of differential equations:
A review of stability and dynamical behaviors of differential equations: scalar ODE: u t = f(u), system of ODEs: u t = f(u, v), v t = g(u, v), reaction-diffusion equation: u t = D u + f(u), x Ω, with boundary
More informationRandom walks for deformable image registration Dana Cobzas
Random walks for deformable image registration Dana Cobzas with Abhishek Sen, Martin Jagersand, Neil Birkbeck, Karteek Popuri Computing Science, University of Alberta, Edmonton Deformable image registration?t
More informationApproximation of fluid-structure interaction problems with Lagrange multiplier
Approximation of fluid-structure interaction problems with Lagrange multiplier Daniele Boffi Dipartimento di Matematica F. Casorati, Università di Pavia http://www-dimat.unipv.it/boffi May 30, 2016 Outline
More informationA LOWER BOUND FOR THE GRADIENT OF -HARMONIC FUNCTIONS Edi Rosset. 1. Introduction. u xi u xj u xi x j
Electronic Journal of Differential Equations, Vol. 1996(1996) No. 0, pp. 1 7. ISSN 107-6691. URL: http://ejde.math.swt.edu (147.6.103.110) telnet (login: ejde), ftp, and gopher access: ejde.math.swt.edu
More informationThe Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition
The Dirichlet boundary problems for second order parabolic operators satisfying a Martin Dindos Sukjung Hwang University of Edinburgh Satellite Conference in Harmonic Analysis Chosun University, Gwangju,
More informationTD M1 EDP 2018 no 2 Elliptic equations: regularity, maximum principle
TD M EDP 08 no Elliptic equations: regularity, maximum principle Estimates in the sup-norm I Let be an open bounded subset of R d of class C. Let A = (a ij ) be a symmetric matrix of functions of class
More informationNAVIER-STOKES EQUATIONS IN THIN 3D DOMAINS WITH NAVIER BOUNDARY CONDITIONS
NAVIER-STOKES EQUATIONS IN THIN 3D DOMAINS WITH NAVIER BOUNDARY CONDITIONS DRAGOŞ IFTIMIE, GENEVIÈVE RAUGEL, AND GEORGE R. SELL Abstract. We consider the Navier-Stokes equations on a thin domain of the
More information(d). Why does this imply that there is no bounded extension operator E : W 1,1 (U) W 1,1 (R n )? Proof. 2 k 1. a k 1 a k
Exercise For k 0,,... let k be the rectangle in the plane (2 k, 0 + ((0, (0, and for k, 2,... let [3, 2 k ] (0, ε k. Thus is a passage connecting the room k to the room k. Let ( k0 k (. We assume ε k
More informationADI iterations for. general elliptic problems. John Strain Mathematics Department UC Berkeley July 2013
ADI iterations for general elliptic problems John Strain Mathematics Department UC Berkeley July 2013 1 OVERVIEW Classical alternating direction implicit (ADI) iteration Essentially optimal in simple domains
More informationNavier-Stokes equations in thin domains with Navier friction boundary conditions
Navier-Stokes equations in thin domains with Navier friction boundary conditions Luan Thach Hoang Department of Mathematics and Statistics, Texas Tech University www.math.umn.edu/ lhoang/ luan.hoang@ttu.edu
More informationChapter 3 Variational Formulation & the Galerkin Method
Institute of Structural Engineering Page 1 Chapter 3 Variational Formulation & the Galerkin Method Institute of Structural Engineering Page 2 Today s Lecture Contents: Introduction Differential formulation
More informationA diamagnetic inequality for semigroup differences
A diamagnetic inequality for semigroup differences (Irvine, November 10 11, 2001) Barry Simon and 100DM 1 The integrated density of states (IDS) Schrödinger operator: H := H(V ) := 1 2 + V ω =: H(0, V
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 informationOn Two Nonlinear Biharmonic Evolution Equations: Existence, Uniqueness and Stability
On Two Nonlinear Biharmonic Evolution Equations: Existence, Uniqueness and Stability Ming-Jun Lai, Chun Liu, and Paul Wenston Abstract We study the following two nonlinear evolution equations with a fourth
More informationFinite-time singularity formation for Euler vortex sheet
Finite-time singularity formation for Euler vortex sheet Daniel Coutand Maxwell Institute Heriot-Watt University Oxbridge PDE conference, 20-21 March 2017 Free surface Euler equations Picture n N x Ω Γ=
More informationBoundary regularity of solutions of degenerate elliptic equations without boundary conditions
Boundary regularity of solutions of elliptic without boundary Iowa State University November 15, 2011 1 2 3 4 If the linear second order elliptic operator L is non with smooth coefficients, then, for any
More informationENGI 4430 PDEs - d Alembert Solutions Page 11.01
ENGI 4430 PDEs - d Alembert Solutions Page 11.01 11. Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives
More informationexamples of equations: what and why intrinsic view, physical origin, probability, geometry
Lecture 1 Introduction examples of equations: what and why intrinsic view, physical origin, probability, geometry Intrinsic/abstract F ( x, Du, D u, D 3 u, = 0 Recall algebraic equations such as linear
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 informationWeak solutions to Fokker-Planck equations and Mean Field Games
Weak solutions to Fokker-Planck equations and Mean Field Games Alessio Porretta Universita di Roma Tor Vergata LJLL, Paris VI March 6, 2015 Outlines of the talk Brief description of the Mean Field Games
More informationRenormalized Solutions of a Nonlinear Parabolic Equation with Double Degeneracy
Electronic Journal of Qualitative Theory of Differential Equations 26, No. 5, -2; http://www.math.u-szeged.hu/ejqtde/ Renormalized Solutions of a Nonlinear Parabolic Equation with Double Degeneracy Zejia
More information