Computations of Asymptotic Scaling for the Kohn-Müller and Aviles-Giga Functionals

Size: px
Start display at page:

Download "Computations of Asymptotic Scaling for the Kohn-Müller and Aviles-Giga Functionals"

Transcription

1 Computations of Asymptotic Scaling for the Kohn-Müller and Aviles-Giga Functionals B.K. Muite Acknowledgements John Ball, Robert Kohn, Petr Plechá c Mathematical Institute University of Oxford Present Address: University of Michigan muite@umich.edu muite 23 May 2

2 Outline The Kohn-Müller model The model The conjecture Numerical results Conclusion The Aviles-Giga model The model The conjecture Numerical results Conclusion Outlook

3 Section : Computations of the Kohn-Müller model The sharp interface Kohn-Müller model The smooth interface Kohn-Müller model Computational results

4 Simplified model which may capture twinning at a boundary Twinning in Copper Aluminum Nickel (picture by Chu and James)

5 The Kohn-Müller model Conjectured correspondence ( 2 γ 2 w y wx 2 ) + ɛ 2 2 w xxdxdy 2 Ω γ 2 w y 2 dxdy + 2ɛ 3 [w x] 3 dh. Ω J w x Smooth interface 5 2 w y Ω ( w 2 x ) 2 + ɛ 2 2 w 2 xxdx Equation of motion ρw tt β w t = 5(3w 2 x )w xx + 5w yy ɛ 2 w xxxx

6 Numerical Results for the Kohn-Müller model (a) A plot showing the evolution of the different energy of ɛ2 w 2 xx. 2 (b) Initial Iterate Contour plot components. A local minimum for the Kohn-Müller energy functional with ρ =, β =. and ɛ =.36.

7 Numerical Results for the Kohn-Müller model (c) Final iterate. Colours show the function, w. (d) Contour plot of 5 w 2 2 y in the final iterate. A local minimum for the Kohn-Müller energy with ρ =, β =. and ɛ =.36.

8 Numerical Results for the Kohn-Müller model (e) Contour plot of 5 4 (w 2 x ) 2 in the final iterate. (f) Contour plot of ɛ2 2 w 2 xx in the final iterate. A local minimum for the Kohn-Müller energy functional with ρ =, β =. and ɛ =.36.

9 Numerical Results for the Kohn-Müller model (g) A plot showing the evolution of the different energy of ɛ2 w 2 xx. 2 (h) Initial Iterate Contour plot components. A local minimum for the Kohn-Müller energy functional with ρ =, β =. and ɛ =..

10 Numerical Results for the Kohn-Müller model (i) Final iterate. Colours show the function, w. (j) Contour plot of final iterate. 5 2 w 2 y in the A local minimum for the Kohn-Müller energy with ρ =, β =. and ɛ =..

11 Numerical Results for the Kohn-Müller model (k) Contour plot of 5 (w 2 4 x ) 2 (l) Contour plot of ɛ2 w 2 xx 2 in the in the final iterate. final iterate. A local minimum for the Kohn-Müller energy functional with ρ =, β =. and ɛ =..

12 Scaling law predicted by Kohn and Müller for the total energy!"!!" " +,-./*&%'() *2-'.3&*%&%'() 4*2-'.3&*%&%'() 5&-%'6.73./*%&%'() * %&%'()!"!!!"!$ *!"!#!"!$!"!!! Energy scaling, reference line drawn for ease of comparison. For small ɛ good agreement with theoretical predictions.

13 Section 2: Computations of the Aviles-Giga model The model The conjecture Computational results

14 The model The energy to minimise 4ɛ (w 2 x + w 2 y ) 2 + ɛ 2 ( w)2 dxdy limiting solution as ɛ, and minimise Remarks: J w w 2 x + w 2 y = 2 2 [ w] 3 dh Assume a one dimensional interface 2 The above assumption leads to equipartition of energy

15 Points which need to be demonstrated for the conjecture to hold The Γ limit is infinite unless w xx + w yy = almost everywhere The proposed sharp interface limit w /3 is correct The asymptotic energy lives on a one dimensional defect set, and lower dimensional singularities carry no energy DeSimone, Kohn, Müller and Otto

16 Equation of motion The energy to minimise 4 (w 2 x + w 2 y ) 2 + ɛ2 2 ( w)2 dxdy Viscoelastic dynamics ρw tt β w t [ [ ] = w x (wx 2 + wy 2 ) ]x + w y (wx 2 + wy 2 ) y ɛ2 2 w

17 Numerical Results for the Aviles-Giga model energy 5 5 total energy strain energy interfacial energy kinetic energy time (m) A plot showing the evolution of the different energy components. function..5 y x.5 (n) Initial Iterate x Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =.5, w(y = ±) = and w yy (y = ±) =.

18 Numerical Results for the Aviles-Giga model function.5.5 y x function.5 y x (o) Final Iterate (p) Viscosity solution assuming equipartition of energy Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =.5, w(y = ±) = and w yy (y = ±) =.

19 Numerical Results for the Aviles-Giga model * # $%&.2 $%+ $%*+.5.5 " $ y!$%+ $%*.5.!* # $ $%& $%' $%( $%) *! $%$ x (q) Contour plot of interface (r) Contour plot of (w 4 x 2 +wy 2 energy term ɛ2 2 ( w)2 in the final ) 2 in the final iterate iterate..5 Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =.5, w(y = ±) = and w yy (y = ±) =.

20 Numerical Results for the Aviles-Giga model energy 2 total energy strain energy interfacial energy kinetic energy time function.5 y.5 x.5 (s) A plot showing the evolution of the different energy components. (t) Initial Iterate Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =., w(y = ±) =.5 sin(2πx) and w yy (y = ±) =.

21 Numerical Results for the Aviles-Giga model 2.8 function y x.5.2 (u) Final Iterate Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =., w(y = ±) =.5 sin(2πx) and w yy (y = ±) =.

22 Numerical Results for the Aviles-Giga model y.25.2 y x x (v) Contour plot of interface (w) Contour plot of (w 4 x 2 +wy 2 energy term ɛ2 2 ( w)2 in the final ) 2 in the final iterate iterate..2 Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =.5, w(y = ±) = and w yy (y = ±) =.

23 Numerical Results for the Aviles-Giga model 3 energy 5 total energy strain energy interfacial energy kinetic energy time x 4 (x) A plot showing the evolution of the different energy components. (y) Initial Iterate Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =.25, w(y = ±) =.5 sin(2πx) and w yy (y = ±) =.

24 Numerical Results for the Aviles-Giga model 3 (z) Final Iterate Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =.25, w(y = ±) =.5 sin(2πx) and w yy (y = ±) =.

25 Numerical Results for the Aviles-Giga model y y x x () Contour plot of interface energy term ɛ2 2 ( w)2 in the final ) 2 in the final iterate () Contour plot of (w 4 x 2 + wy 2 iterate..5 Numerically computed minimizer for the Aviles-Giga energy functional with ρ =, β =., ɛ =.25, w(y = ±) = and w yy (y = ±) =.

26 Result Summary w(y = ±) ɛ 4 (w x 2 + wy 2 ) 2 ɛ 2 2 ( w)2 Total Energy ɛ sin(2πx) sin(2πx) sin(2πx) sin(2πx) sin(2πx) Prediction that (Total Energy)/ɛ= 2 2/3.943 if Aviles-Giga conjecture holds and zero boundary conditions.

27 Conclusions Simulations can be a useful tool to test scaling assumptions For the Kohn-Müller model, the simulations are in agreement with the model For the Aviles-Giga model, the conjecture may not hold when non-zero boundary conditions are applied

28 References Aviles and Giga, 999 Conti, DeSimone and Müller, 25 DeSimone, Kohn, Müller and Otto, 2 Jin and Kohn, 2 Kohn and Müller, 992, 994 Lorent, 29 Muite, 2 Schreiber, 994

29 Acknowledgements The Marie Curie Research Training Network MULTIMAT EPSRC grant, OxMOS New Frontiers in the Mathematics of Solids EPSRC grant, OxPDE Oxford Center for Nonlinear Partial Differential Equations

Lecture No 1 Introduction to Diffusion equations The heat equat

Lecture 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 information

Line energy Ginzburg Landau models: zero energy states

Line energy Ginzburg Landau models: zero energy states Line energy Ginzburg Landau models: zero energy states Pierre-Emmanuel Jabin*, email: jabin@dma.ens.fr Felix Otto** email: otto@iam.uni-bonn.de Benoît Perthame* email: benoit.perthame@ens.fr *Département

More information

A Ginzburg-Landau Type Problem for Nematics with Highly Anisotropic Elastic Term

A 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 information

NSF-PIRE Summer School. Geometrically linear theory for shape memory alloys: the effect of interfacial energy

NSF-PIRE Summer School. Geometrically linear theory for shape memory alloys: the effect of interfacial energy NSF-PIRE Summer School Geometrically linear theory for shape memory alloys: the effect of interfacial energy Felix Otto Max Planck Institute for Mathematics in the Sciences Leipzig, Germany 1 Goal of mini-course

More information

Branched transport limit of the Ginzburg-Landau functional

Branched transport limit of the Ginzburg-Landau functional Branched transport limit of the Ginzburg-Landau functional Michael Goldman CNRS, LJLL, Paris 7 Joint work with S. Conti, F. Otto and S. Serfaty Introduction Superconductivity was first observed by Onnes

More information

Short-Term Scientific Mission (STSM) Report for Nematic-Smectic Pattern Formation in Confined Geometries Action TD

Short-Term Scientific Mission (STSM) Report for Nematic-Smectic Pattern Formation in Confined Geometries Action TD Short-Term Scientific Mission (STSM) Report for Nematic-Smectic Pattern Formation in Confined Geometries Action TD1409-3915 Dr Apala Majumdar, University of Bath, United Kingdom January 5, 018 1 Purpose

More information

Compactness in Ginzburg-Landau energy by kinetic averaging

Compactness in Ginzburg-Landau energy by kinetic averaging Compactness in Ginzburg-Landau energy by kinetic averaging Pierre-Emmanuel Jabin École Normale Supérieure de Paris AND Benoît Perthame École Normale Supérieure de Paris Abstract We consider a Ginzburg-Landau

More information

Quadratic Equations 6 QUESTIONS. Relatively Easy: Questions 1 to 2 Moderately Difficult: Questions 3 to 4 Difficult: Questions 5 to 6

Quadratic Equations 6 QUESTIONS. Relatively Easy: Questions 1 to 2 Moderately Difficult: Questions 3 to 4 Difficult: Questions 5 to 6 Quadratic Equations 6 QUESTIONS Relatively Easy: Questions 1 to 2 Moderately Difficult: Questions 3 to 4 Difficult: Questions 5 to 6 Questions www.tutornext.com Page 2 of 11 Q1. The factors of 2x² - 7x

More information

Partial Differential Equations Separation of Variables. 1 Partial Differential Equations and Operators

Partial Differential Equations Separation of Variables. 1 Partial Differential Equations and Operators PDE-SEP-HEAT-1 Partial Differential Equations Separation of Variables 1 Partial Differential Equations and Operators et C = C(R 2 ) be the collection of infinitely differentiable functions from the plane

More information

Finite Volume Schemes: an introduction

Finite Volume Schemes: an introduction Finite Volume Schemes: an introduction First lecture Annamaria Mazzia Dipartimento di Metodi e Modelli Matematici per le Scienze Applicate Università di Padova mazzia@dmsa.unipd.it Scuola di dottorato

More information

A Numerical Study of the Focusing Davey-Stewartson II Equation

A Numerical Study of the Focusing Davey-Stewartson II Equation A Numerical Study of the Focusing Davey-Stewartson II Equation Christian Klein Benson Muite Kristelle Roidot University of Michigan muite@umich.edu www.math.lsa.umich.edu/ muite 20 May 2012 Outline The

More information

A Posteriori Existence in Numerical Computations

A Posteriori Existence in Numerical Computations Oxford University Computing Laboratory OXMOS: New Frontiers in the Mathematics of Solids OXPDE: Oxford Centre for Nonlinear PDE January, 2007 Introduction Non-linear problems are handled via the implicit

More information

conditional cdf, conditional pdf, total probability theorem?

conditional cdf, conditional pdf, total probability theorem? 6 Multiple Random Variables 6.0 INTRODUCTION scalar vs. random variable cdf, pdf transformation of a random variable conditional cdf, conditional pdf, total probability theorem expectation of a random

More information

Non-Newtonian Fluids and Finite Elements

Non-Newtonian Fluids and Finite Elements Non-Newtonian Fluids and Finite Elements Janice Giudice Oxford University Computing Laboratory Keble College Talk Outline Motivating Industrial Process Multiple Extrusion of Pastes Governing Equations

More information

Coupled second order singular perturbations for phase transitions

Coupled second order singular perturbations for phase transitions Coupled second order singular perturbations for phase transitions CMU 06/09/11 Ana Cristina Barroso, Margarida Baía, Milena Chermisi, JM Introduction Let Ω R d with Lipschitz boundary ( container ) and

More information

Asymptotic behavior of infinity harmonic functions near an isolated singularity

Asymptotic behavior of infinity harmonic functions near an isolated singularity Asymptotic behavior of infinity harmonic functions near an isolated singularity Ovidiu Savin, Changyou Wang, Yifeng Yu Abstract In this paper, we prove if n 2 x 0 is an isolated singularity of a nonegative

More information

Pattern formation in compressed elastic films on compliant substrates: an explanation of the herringbone structure

Pattern formation in compressed elastic films on compliant substrates: an explanation of the herringbone structure Pattern formation in compressed elastic films on compliant substrates: an explanation of the herringbone structure Robert V. Kohn Courant Institute, NYU SIAM Annual Meeting, July 2012 Joint work with Hoai-Minh

More information

ME 680- Spring Representation and Stability Concepts

ME 680- Spring Representation and Stability Concepts ME 680- Spring 014 Representation and Stability Concepts 1 3. Representation and stability concepts 3.1 Continuous time systems: Consider systems of the form x F(x), x n (1) where F : U Vis a mapping U,V

More information

Calculus of Variations and Computer Vision

Calculus of Variations and Computer Vision Calculus of Variations and Computer Vision Sharat Chandran Page 1 of 23 Computer Science & Engineering Department, Indian Institute of Technology, Bombay. http://www.cse.iitb.ernet.in/ sharat January 8,

More information

5 The Oldroyd-B fluid

5 The Oldroyd-B fluid 5 The Oldroyd-B fluid Last time we started from a microscopic dumbbell with a linear entropic spring, and derived the Oldroyd-B equations: A u = u ρ + u u = σ 2 pi + η u + u 3 + u A A u u A = τ Note that

More information

Regularity of Weak Solution to Parabolic Fractional p-laplacian

Regularity of Weak Solution to Parabolic Fractional p-laplacian Regularity of Weak Solution to Parabolic Fractional p-laplacian Lan Tang at BCAM Seminar July 18th, 2012 Table of contents 1 1. Introduction 1.1. Background 1.2. Some Classical Results for Local Case 2

More information

Introduction to fracture mechanics

Introduction to fracture mechanics Introduction to fracture mechanics Prof. Dr. Eleni Chatzi Dr. Giuseppe Abbiati, Dr. Konstantinos Agathos Lecture 6-9 November, 2017 Institute of Structural Engineering, ETH Zu rich November 9, 2017 Institute

More information

0.2. CONSERVATION LAW FOR FLUID 9

0.2. CONSERVATION LAW FOR FLUID 9 0.2. CONSERVATION LAW FOR FLUID 9 Consider x-component of Eq. (26), we have D(ρu) + ρu( v) dv t = ρg x dv t S pi ds, (27) where ρg x is the x-component of the bodily force, and the surface integral is

More information

Demixing in viscous fluids: Connection with OT. Felix Otto. joint work with: R. V. Kohn, Y. Brenier, C. Seis, D. Slepcev

Demixing in viscous fluids: Connection with OT. Felix Otto. joint work with: R. V. Kohn, Y. Brenier, C. Seis, D. Slepcev Demixing in viscous fluids: Connection with OT Felix Otto Max Planck Institute for Mathematics in the Sciences Leipzig, Germany joint work with: R. V. Kohn, Y. Brenier, C. Seis, D. Slepcev Geometric evolution

More information

Blow-up profiles of solutions for the exponential reaction-diffusion equation

Blow-up profiles of solutions for the exponential reaction-diffusion equation Blow-up profiles of solutions for the exponential reaction-diffusion equation Aappo Pulkkinen Department of Mathematics and Systems Analysis Aalto University School of Science and Technology Finland 4th

More information

Wrinkling, Microstructure, and Energy Scaling Laws

Wrinkling, Microstructure, and Energy Scaling Laws , Microstructure, and Energy Scaling Laws Courant Institute, NYU IMA Workshop on Strain Induced Shape Formation, May 211 First half: an overview Second half: recent progress with Hoai-Minh Nguyen Plan

More information

f r Angewandte Analysis und Stochastik

f r Angewandte Analysis und Stochastik Weierstra Institut f r Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.v. Preprint ISSN 946 8633 Rate dependence of hysteresis in one-dimensional phase transitions Nikolaus Bubner 1, Gail

More information

Minimal k-partition for the p-norm of the eigenvalues

Minimal k-partition for the p-norm of the eigenvalues Minimal k-partition for the p-norm of the eigenvalues V. Bonnaillie-Noël DMA, CNRS, ENS Paris joint work with B. Bogosel, B. Helffer, C. Léna, G. Vial Calculus of variations, optimal transportation, and

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

P A L A C E P IE R, S T. L E O N A R D S. R a n n o w, q u a r r y. W WALTER CR O TC H, Esq., Local Chairman. E. CO O PER EVANS, Esq.,.

P A L A C E P IE R, S T. L E O N A R D S. R a n n o w, q u a r r y. W WALTER CR O TC H, Esq., Local Chairman. E. CO O PER EVANS, Esq.,. ? ( # [ ( 8? [ > 3 Q [ ««> » 9 Q { «33 Q> 8 \ \ 3 3 3> Q»«9 Q ««« 3 8 3 8 X \ [ 3 ( ( Z ( Z 3( 9 9 > < < > >? 8 98 ««3 ( 98 < # # Q 3 98? 98 > > 3 8 9 9 ««««> 3 «>

More information

[2] (a) Develop and describe the piecewise linear Galerkin finite element approximation of,

[2] (a) Develop and describe the piecewise linear Galerkin finite element approximation of, 269 C, Vese Practice problems [1] Write the differential equation u + u = f(x, y), (x, y) Ω u = 1 (x, y) Ω 1 n + u = x (x, y) Ω 2, Ω = {(x, y) x 2 + y 2 < 1}, Ω 1 = {(x, y) x 2 + y 2 = 1, x 0}, Ω 2 = {(x,

More information

ANALYSIS AND NUMERICAL METHODS FOR SOME CRACK PROBLEMS

ANALYSIS AND NUMERICAL METHODS FOR SOME CRACK PROBLEMS INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING, SERIES B Volume 2, Number 2-3, Pages 155 166 c 2011 Institute for Scientific Computing and Information ANALYSIS AND NUMERICAL METHODS FOR SOME

More information

A Least Squares Formulation for Canonical Correlation Analysis

A Least Squares Formulation for Canonical Correlation Analysis A Least Squares Formulation for Canonical Correlation Analysis Liang Sun, Shuiwang Ji, and Jieping Ye Department of Computer Science and Engineering Arizona State University Motivation Canonical Correlation

More information

Two Posts to Fill On School Board

Two Posts to Fill On School Board Y Y 9 86 4 4 qz 86 x : ( ) z 7 854 Y x 4 z z x x 4 87 88 Y 5 x q x 8 Y 8 x x : 6 ; : 5 x ; 4 ( z ; ( ) ) x ; z 94 ; x 3 3 3 5 94 ; ; ; ; 3 x : 5 89 q ; ; x ; x ; ; x : ; ; ; ; ; ; 87 47% : () : / : 83

More information

Part 1 Introduction Degenerate Diffusion and Free-boundaries

Part 1 Introduction Degenerate Diffusion and Free-boundaries Part 1 Introduction Degenerate Diffusion and Free-boundaries Columbia University De Giorgi Center - Pisa June 2012 Introduction We will discuss, in these lectures, certain geometric and analytical aspects

More information

3d Crystallization. FCC structures. Florian Theil. Macroscopic Modeling of Materials with Fine Structure May Warwick University

3d Crystallization. FCC structures. Florian Theil. Macroscopic Modeling of Materials with Fine Structure May Warwick University FCC structures 1 Mathematics Institute Warwick University Macroscopic Modeling of Materials with Fine Structure May 2011 Outline 1 2 Outline 1 2 Extremum principles Crystalline structure is the minimizer

More information

Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of. Conservation Laws 1. Abstract

Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of. Conservation Laws 1. Abstract Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of Conservation Laws Sirui Tan and Chi-Wang Shu 3 Abstract We develop a high order finite difference numerical boundary condition for solving

More information

NONLINEAR WAVE EQUATIONS ARISING IN MODELING OF SOME STRAIN-HARDENING STRUCTURES

NONLINEAR WAVE EQUATIONS ARISING IN MODELING OF SOME STRAIN-HARDENING STRUCTURES NONLINEAR WAE EQUATIONS ARISING IN MODELING OF SOME STRAIN-HARDENING STRUCTURES DONGMING WEI Department of Mathematics, University of New Orleans, 2 Lakeshore Dr., New Orleans, LA 7148,USA E-mail: dwei@uno.edu

More information

An asymptotic preserving unified gas kinetic scheme for the grey radiative transfer equations

An asymptotic preserving unified gas kinetic scheme for the grey radiative transfer equations An asymptotic preserving unified gas kinetic scheme for the grey radiative transfer equations Institute of Applied Physics and Computational Mathematics, Beijing NUS, Singapore, March 2-6, 2015 (joint

More information

AE/ME 339. Computational Fluid Dynamics (CFD) K. M. Isaac. Momentum equation. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.

AE/ME 339. Computational Fluid Dynamics (CFD) K. M. Isaac. Momentum equation. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept. AE/ME 339 Computational Fluid Dynamics (CFD) 9//005 Topic7_NS_ F0 1 Momentum equation 9//005 Topic7_NS_ F0 1 Consider the moving fluid element model shown in Figure.b Basis is Newton s nd Law which says

More information

Distance to curves and surfaces in the Heisenberg group

Distance to curves and surfaces in the Heisenberg group Distance to curves and surfaces in the Heisenberg group Università di Bologna 3 giugno 2012 Survey based on... Fausto Ferrari, N.A. Metric normal and distance function in the Heisenberg group, Math.Z.

More information

Global description of patterns far from onset: a case study

Global description of patterns far from onset: a case study Physica D 184 (2003) 127 140 Global description of patterns far from onset: a case study N. Ercolani a, R. Indik a,, A.C. Newell a, T. Passot b a Department of Mathematics, University of Arizona, Tucson,

More information

Flow in Corrugated Pipes

Flow in Corrugated Pipes Flow in Corrugated Pipes CASA Day April 7, 2010 Patricio Rosen Promotor: R.M.M. Mattheij Supervisors: J.H.M. ten Thije Boonkkamp J.A.M. Dam Outline Motivation Fluid Flow equations Method of slow variations

More information

An example of slow convergence for Newton s method on a function with globally Lipschitz continuous Hessian

An example of slow convergence for Newton s method on a function with globally Lipschitz continuous Hessian An example of slow convergence for Newton s method on a function with globally Lipschitz continuous Hessian C. Cartis, N. I. M. Gould and Ph. L. Toint 3 May 23 Abstract An example is presented where Newton

More information

Isometric immersions, geometric incompatibility and strain induced shape formation

Isometric immersions, geometric incompatibility and strain induced shape formation IMA Hot topics workshop May 20, 2011 Isometric immersions, geometric incompatibility and strain induced shape formation John Gemmer Eran Sharon Shankar Venkataramani Dislocation Crumpled Paper Elastic

More information

PERTURBATION ANALYSIS OF k ω AND k ɛ TURBULENT MODELS. WALL FUNCTIONS

PERTURBATION ANALYSIS OF k ω AND k ɛ TURBULENT MODELS. WALL FUNCTIONS EPJ Web of Conferences 45, 01097 2013 DOI: 10.1051/ epjconf/ 20134501097 C Owned by the authors, published by EDP Sciences, 2013 PERTURBATION ANALYSIS OF k ω AND k ɛ TURBULENT MODELS. WALL FUNCTIONS Karel

More information

Cheng Soon Ong & Christian Walder. Canberra February June 2018

Cheng Soon Ong & Christian Walder. Canberra February June 2018 Cheng Soon Ong & Christian Walder Research Group and College of Engineering and Computer Science Canberra February June 2018 (Many figures from C. M. Bishop, "Pattern Recognition and ") 1of 89 Part II

More information

Numerical solutions of the small dispersion limit of KdV, Whitham and Painlevé equations

Numerical solutions of the small dispersion limit of KdV, Whitham and Painlevé equations Numerical solutions of the small dispersion limit of KdV, Whitham and Painlevé equations Tamara Grava (SISSA) joint work with Christian Klein (MPI Leipzig) Integrable Systems in Applied Mathematics Colmenarejo,

More information

A phase field model for the coupling between Navier-Stokes and e

A phase field model for the coupling between Navier-Stokes and e A phase field model for the coupling between Navier-Stokes and electrokinetic equations Instituto de Matemáticas, CSIC Collaborators: C. Eck, G. Grün, F. Klingbeil (Erlangen Univertsität), O. Vantzos (Bonn)

More information

A Posteriori Error Estimates For Discontinuous Galerkin Methods Using Non-polynomial Basis Functions

A Posteriori Error Estimates For Discontinuous Galerkin Methods Using Non-polynomial Basis Functions Lin Lin A Posteriori DG using Non-Polynomial Basis 1 A Posteriori Error Estimates For Discontinuous Galerkin Methods Using Non-polynomial Basis Functions Lin Lin Department of Mathematics, UC Berkeley;

More information

Edge Detection in Computer Vision Systems

Edge Detection in Computer Vision Systems 1 CS332 Visual Processing in Computer and Biological Vision Systems Edge Detection in Computer Vision Systems This handout summarizes much of the material on the detection and description of intensity

More information

Numerical approximation for optimal control problems via MPC and HJB. Giulia Fabrini

Numerical approximation for optimal control problems via MPC and HJB. Giulia Fabrini Numerical approximation for optimal control problems via MPC and HJB Giulia Fabrini Konstanz Women In Mathematics 15 May, 2018 G. Fabrini (University of Konstanz) Numerical approximation for OCP 1 / 33

More information

Microstructures in low-hysteresis shape memory alloys: analysis and computation

Microstructures in low-hysteresis shape memory alloys: analysis and computation Microstructures in low-hysteresis shape memory alloys: analysis and computation Barbara Zwicknagl Abstract For certain martensitic phase transformations, one observes a close relation between the width

More information

Computational Topology and Dynamics

Computational Topology and Dynamics Computational Topology and Dynamics Bill Kalies Florida Atlantic University Homology of Nodal Domains Computational Conley Theory Sarah Day (College of William & Mary) Marcio Gameiro (Kyoto) Konstantin

More information

On the generation of nonlinear 3D interfacial waves in gas-liquid flows

On the generation of nonlinear 3D interfacial waves in gas-liquid flows On the generation of nonlinear 3D interfacial waves in gas-liquid flows Lennon Ó Náraigh 1, Peter Spelt 2 1 School of Mathematics and Statistics and CASL, University College Dublin 2 LMFA, Ecole Centrale

More information

CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION

CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION 7.1 THE NAVIER-STOKES EQUATIONS Under the assumption of a Newtonian stress-rate-of-strain constitutive equation and a linear, thermally conductive medium,

More information

Averaging vs Chaos in Turbulent Transport?

Averaging vs Chaos in Turbulent Transport? Averaging vs Chaos in Turbulent Transport? Houman Owhadi owhadi@caltech.edu CALTECH, Applied and Computational Mathematics, Control and Dynamical Systems. Averaging vs Chaos in Turbulent Transport? p.

More information

Math 53 Spring 2018 Practice Midterm 2

Math 53 Spring 2018 Practice Midterm 2 Math 53 Spring 218 Practice Midterm 2 Nikhil Srivastava 8 minutes, closed book, closed notes 1. alculate 1 y 2 (x 2 + y 2 ) 218 dxdy Solution. Since the type 2 region D = { y 1, x 1 y 2 } is a quarter

More information

Energy scaling law for a single disclination in a thin elastic shee

Energy scaling law for a single disclination in a thin elastic shee Energy scaling law for a single disclination in a thin elastic sheet 7 December, 2015 Overview 1 Introduction: Energy focusing in thin elastic sheets 2 3 4 Energy focusing in thin elastic sheets Experimental

More information

Lecture No 2 Degenerate Diffusion Free boundary problems

Lecture 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 information

Gradient interfaces with and without disorder

Gradient interfaces with and without disorder Gradient interfaces with and without disorder Codina Cotar University College London September 09, 2014, Toronto Outline 1 Physics motivation Example 1: Elasticity Recap-Gaussian Measure Example 2: Effective

More information

INTRODUCTION TO PDEs

INTRODUCTION 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 information

Suggested Solution to Assignment 7

Suggested Solution to Assignment 7 MATH 422 (25-6) partial diferential equations Suggested Solution to Assignment 7 Exercise 7.. Suppose there exists one non-constant harmonic function u in, which attains its maximum M at x. Then by the

More information

SOME VIEWS ON GLOBAL REGULARITY OF THE THIN FILM EQUATION

SOME VIEWS ON GLOBAL REGULARITY OF THE THIN FILM EQUATION SOME VIEWS ON GLOBAL REGULARITY OF THE THIN FILM EQUATION STAN PALASEK Abstract. We introduce the thin film equation and the problem of proving positivity and global regularity on a periodic domain with

More information

Numerical Simulations on Two Nonlinear Biharmonic Evolution Equations

Numerical 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 information

Reduced MHD. Nick Murphy. Harvard-Smithsonian Center for Astrophysics. Astronomy 253: Plasma Astrophysics. February 19, 2014

Reduced MHD. Nick Murphy. Harvard-Smithsonian Center for Astrophysics. Astronomy 253: Plasma Astrophysics. February 19, 2014 Reduced MHD Nick Murphy Harvard-Smithsonian Center for Astrophysics Astronomy 253: Plasma Astrophysics February 19, 2014 These lecture notes are largely based on Lectures in Magnetohydrodynamics by Dalton

More information

On Two Nonlinear Biharmonic Evolution Equations: Existence, Uniqueness and Stability

On 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 information

Information geometry for bivariate distribution control

Information geometry for bivariate distribution control Information geometry for bivariate distribution control C.T.J.Dodson + Hong Wang Mathematics + Control Systems Centre, University of Manchester Institute of Science and Technology Optimal control of stochastic

More information

Multicolour Ramsey Numbers of Odd Cycles

Multicolour Ramsey Numbers of Odd Cycles Multicolour Ramsey Numbers of Odd Cycles JOHNSON, JR; Day, A 2017 Elsevier Inc This is a pre-copyedited, author-produced PDF of an article accepted for publication in Journal of Combinatorial Theory, Series

More information

ECE 4400:693 - Information Theory

ECE 4400:693 - Information Theory ECE 4400:693 - Information Theory Dr. Nghi Tran Lecture 8: Differential Entropy Dr. Nghi Tran (ECE-University of Akron) ECE 4400:693 Lecture 1 / 43 Outline 1 Review: Entropy of discrete RVs 2 Differential

More information

Predator-swarm interactions

Predator-swarm interactions Predator-swarm interactions Hypothesis: swarming behaviour is an evolutionary adaptation that confers certain benefits on the individuals or group as a whole [Parrish,Edelstein-Keshet 1999; Sumpter 2010,

More information

Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics

Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI (after: D.J. ACHESON s Elementary Fluid Dynamics ) bluebox.ippt.pan.pl/

More information

Allen Cahn Equation in Two Spatial Dimension

Allen Cahn Equation in Two Spatial Dimension Allen Cahn Equation in Two Spatial Dimension Yoichiro Mori April 25, 216 Consider the Allen Cahn equation in two spatial dimension: ɛ u = ɛ2 u + fu) 1) where ɛ > is a small parameter and fu) is of cubic

More information

An iterative algorithm for nonlinear wavelet thresholding: Applications to signal and image processing

An iterative algorithm for nonlinear wavelet thresholding: Applications to signal and image processing An iterative algorithm for nonlinear wavelet thresholding: Applications to signal and image processing Marie Farge, LMD-CNRS, ENS, Paris Kai Schneider, CMI, Université de Provence, Marseille Alexandre

More information

Direct Sum. McKelvey, and Madie Wilkin Adviser: Dr. Andrew Christlieb Co-advisers: Eric Wolf and Justin Droba. July 23, Michigan St.

Direct Sum. McKelvey, and Madie Wilkin Adviser: Dr. Andrew Christlieb Co-advisers: Eric Wolf and Justin Droba. July 23, Michigan St. and Adviser: Dr. Andrew Christlieb Co-advisers: Eric Wolf and Justin Droba Michigan St. University July 23, 2014 The N-Body Problem Solar systems The N-Body Problem Solar systems Interacting charges, gases

More information

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Spring 2018 Professor: Jared Speck

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Spring 2018 Professor: Jared Speck MATH 8.52 COURSE NOTES - CLASS MEETING # 6 8.52 Introduction to PDEs, Spring 208 Professor: Jared Speck Class Meeting # 6: Laplace s and Poisson s Equations We will now study the Laplace and Poisson equations

More information

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Fall 2011 Professor: Jared Speck

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Fall 2011 Professor: Jared Speck MATH 8.52 COURSE NOTES - CLASS MEETING # 6 8.52 Introduction to PDEs, Fall 20 Professor: Jared Speck Class Meeting # 6: Laplace s and Poisson s Equations We will now study the Laplace and Poisson equations

More information

Filtered scheme and error estimate for first order Hamilton-Jacobi equations

Filtered scheme and error estimate for first order Hamilton-Jacobi equations and error estimate for first order Hamilton-Jacobi equations Olivier Bokanowski 1 Maurizio Falcone 2 2 1 Laboratoire Jacques-Louis Lions, Université Paris-Diderot (Paris 7) 2 SAPIENZA - Università di Roma

More information

Level Set Solution of an Inverse Electromagnetic Casting Problem using Topological Analysis

Level Set Solution of an Inverse Electromagnetic Casting Problem using Topological Analysis Level Set Solution of an Inverse Electromagnetic Casting Problem using Topological Analysis A. Canelas 1, A.A. Novotny 2 and J.R.Roche 3 1 Instituto de Estructuras y Transporte, Facultad de Ingeniería,

More information

An arithmetic dynamical Mordell-Lang theorem

An arithmetic dynamical Mordell-Lang theorem An arithmetic dynamical Mordell-Lang theorem Trevor Hyde University of Michigan Joint work with Mike Zieve Squares in orbits Let f(x) Q(x) be a rational function, a Q. Which f n (a) are squares? Squares

More information

Chapter 3 - Solved Problems

Chapter 3 - Solved Problems Chapter 3 - Solved Problems Solved Problem 3.. A nonlinear system has an input-output model given by dy(t) + ( + 0.2y(t))y(t) = u(t) + 0.2u(t) 3 () 3.. Compute the operating point(s) for u Q = 2. (assume

More information

Cavitation and fracture in nonlinear elasticity

Cavitation and fracture in nonlinear elasticity Cavitation and fracture in nonlinear elasticity Duvan Henao Laboratoire Jacques-Louis Lions Université Pierre et Marie Curie - CNRS Work under the supervision of John M. Ball University of Oxford In collaboration

More information

Nonlinear Integral Equation Formulation of Orthogonal Polynomials

Nonlinear Integral Equation Formulation of Orthogonal Polynomials Nonlinear Integral Equation Formulation of Orthogonal Polynomials Eli Ben-Naim Theory Division, Los Alamos National Laboratory with: Carl Bender (Washington University, St. Louis) C.M. Bender and E. Ben-Naim,

More information

A semi-implicit finite volume implementation of the CSF method for treating surface tension in interfacial flows

A semi-implicit finite volume implementation of the CSF method for treating surface tension in interfacial flows A semi-implicit finite volume implementation of the CSF method for treating surface tension in interfacial flows M. Raessi, M. Bussmann*, and J. Mostaghimi Department of Mechanical and Industrial Engineering,

More information

Image Segmentation: the Mumford Shah functional

Image Segmentation: the Mumford Shah functional Image Segmentation: the Mumford Shah functional Ma191b Winter 2017 Geometry of Neuroscience References for this lecture: David Mumford, Jayant Shah, Optimal Approximations by Piecewise Smooth Functions

More information

Plot of temperature u versus x and t for the heat conduction problem of. ln(80/π) = 820 sec. τ = 2500 π 2. + xu t. = 0 3. u xx. + u xt 4.

Plot of temperature u versus x and t for the heat conduction problem of. ln(80/π) = 820 sec. τ = 2500 π 2. + xu t. = 0 3. u xx. + u xt 4. 10.5 Separation of Variables; Heat Conduction in a Rod 579 u 20 15 10 5 10 50 20 100 30 150 40 200 50 300 x t FIGURE 10.5.5 Example 1. Plot of temperature u versus x and t for the heat conduction problem

More information

Appearance of Anomalous Singularities in. a Semilinear Parabolic Equation. (Tokyo Institute of Technology) with Shota Sato (Tohoku University)

Appearance of Anomalous Singularities in. a Semilinear Parabolic Equation. (Tokyo Institute of Technology) with Shota Sato (Tohoku University) Appearance of Anomalous Singularities in a Semilinear Parabolic Equation Eiji Yanagida (Tokyo Institute of Technology) with Shota Sato (Tohoku University) 4th Euro-Japanese Workshop on Blow-up, September

More information

HEC-RAS v5.0: 2-D applications

HEC-RAS v5.0: 2-D applications HEC-RAS v5.0: 2-D applications Tom Molls, Will Sicke, Holly Canada, Mike Konieczki, Ric McCallan David Ford Consulting Engineers, Inc. Sacramento, CA September 10, 2015: Palm Springs FMA conference What

More information

Computing High Frequency Waves By the Level Set Method

Computing High Frequency Waves By the Level Set Method Computing High Frequency Waves By the Level Set Method Hailiang Liu Department of Mathematics Iowa State University Collaborators: Li-Tien Cheng (UCSD), Stanley Osher (UCLA) Shi Jin (UW-Madison), Richard

More information

(Model-Free) Data-Driven Computing

(Model-Free) Data-Driven Computing C A L I F O R N I A I N S T I T U T E O F T E C H N O L O G Y (Model-Free) Data-Driven Computing California Institute of Technology and Rheinische Friedrich-Wilhelms Universität Bonn Collaborators: T.

More information

On Hamiltonian perturbations of hyperbolic PDEs

On Hamiltonian perturbations of hyperbolic PDEs Bologna, September 24, 2004 On Hamiltonian perturbations of hyperbolic PDEs Boris DUBROVIN SISSA (Trieste) Class of 1+1 evolutionary systems w i t +Ai j (w)wj x +ε (B i j (w)wj xx + 1 2 Ci jk (w)wj x wk

More information

OWELL WEEKLY JOURNAL

OWELL WEEKLY JOURNAL Y \»< - } Y Y Y & #»»» q ] q»»»>) & - - - } ) x ( - { Y» & ( x - (» & )< - Y X - & Q Q» 3 - x Q Y 6 \Y > Y Y X 3 3-9 33 x - - / - -»- --

More information

Scribes: Po-Hsuan Wei, William Kuzmaul Editor: Kevin Wu Date: October 18, 2016

Scribes: Po-Hsuan Wei, William Kuzmaul Editor: Kevin Wu Date: October 18, 2016 CS 267 Lecture 7 Graph Spanners Scribes: Po-Hsuan Wei, William Kuzmaul Editor: Kevin Wu Date: October 18, 2016 1 Graph Spanners Our goal is to compress information about distances in a graph by looking

More information

MATH 425, FINAL EXAM SOLUTIONS

MATH 425, FINAL EXAM SOLUTIONS MATH 425, FINAL EXAM SOLUTIONS Each exercise is worth 50 points. Exercise. a The operator L is defined on smooth functions of (x, y by: Is the operator L linear? Prove your answer. L (u := arctan(xy u

More information

A Second Order Discontinuous Galerkin Fast Sweeping Method for Eikonal Equations

A Second Order Discontinuous Galerkin Fast Sweeping Method for Eikonal Equations A Second Order Discontinuous Galerkin Fast Sweeping Method for Eikonal Equations Fengyan Li, Chi-Wang Shu, Yong-Tao Zhang 3, and Hongkai Zhao 4 ABSTRACT In this paper, we construct a second order fast

More information

Exact Solutions of the Einstein Equations

Exact Solutions of the Einstein Equations Notes from phz 6607, Special and General Relativity University of Florida, Fall 2004, Detweiler Exact Solutions of the Einstein Equations These notes are not a substitute in any manner for class lectures.

More information

A model order reduction technique for speeding up computational homogenisation

A model order reduction technique for speeding up computational homogenisation A model order reduction technique for speeding up computational homogenisation Olivier Goury, Pierre Kerfriden, Wing Kam Liu, Stéphane Bordas Cardiff University Outline Introduction Heterogeneous materials

More information

(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively);

(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively); STABILITY OF EQUILIBRIA AND LIAPUNOV FUNCTIONS. By topological properties in general we mean qualitative geometric properties (of subsets of R n or of functions in R n ), that is, those that don t depend

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

Nonlinear stability of time-periodic viscous shocks. Margaret Beck Brown University

Nonlinear stability of time-periodic viscous shocks. Margaret Beck Brown University Nonlinear stability of time-periodic viscous shocks Margaret Beck Brown University Motivation Time-periodic patterns in reaction-diffusion systems: t x Experiment: chemical reaction chlorite-iodite-malonic-acid

More information