TRAVELLING WAVES. Morteza Fotouhi Sharif Univ. of Technology

Similar documents
Stability and instability of nonlinear waves:

Review of Dynamic complexity in predator-prey models framed in difference equations

The Evans function and the stability of travelling waves

The Scalar Conservation Law

Subcritical bifurcation to innitely many rotating waves. Arnd Scheel. Freie Universitat Berlin. Arnimallee Berlin, Germany

Conditions for Approaching the Origin without Intersecting the x-axis in the Liénard Plane

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

LINEAR COMBINATIONS AND SUBSPACES

A Single Species in One Spatial Dimension

INPUT-OUTPUT APPROACH NUMERICAL EXAMPLES

MAXIMUM AND ANTI-MAXIMUM PRINCIPLES FOR THE P-LAPLACIAN WITH A NONLINEAR BOUNDARY CONDITION. 1. Introduction. ν = λ u p 2 u.

Evans function review

The Linear Quadratic Regulator

Second-Order Wave Equation

Nonlinear stability of semidiscrete shocks for two-sided schemes

Control Systems

Absolute and convective instabilities of waves on unbounded and large bounded domains

4 Exact laminar boundary layer solutions

Spectral stability of periodic waves in dispersive models

Math 273b: Calculus of Variations

Homework 5 Solutions

Applied Mathematics Letters

Elements of Coordinate System Transformations

ECON3120/4120 Mathematics 2, spring 2009

Study Guide for Linear Algebra Exam 2

Figure 1 Probability density function of Wedge copula for c = (best fit to Nominal skew of DRAM case study).

Exponential Stability of the Traveling Fronts for a Pseudo-Para. Pseudo-Parabolic Fisher-KPP Equation

Formal Methods for Deriving Element Equations

Math 263 Assignment #3 Solutions. 1. A function z = f(x, y) is called harmonic if it satisfies Laplace s equation:

Mean Value Formulae for Laplace and Heat Equation

TRANSONIC EVAPORATION WAVES IN A SPHERICALLY SYMMETRIC NOZZLE

OPTIMUM EXPRESSION FOR COMPUTATION OF THE GRAVITY FIELD OF A POLYHEDRAL BODY WITH LINEARLY INCREASING DENSITY 1

Reduction of the HH-Model to two dimensions (general)

Homogeneous Liner Systems with Constant Coefficients

Partial Differential Equations with Applications

MATH 304 Linear Algebra Lecture 23: Diagonalization. Review for Test 2.

Stability Analysis of Stationary Solutions for the Cahn Hilliard Equation

Travelling waves. Chapter 8. 1 Introduction

AM 205: lecture 14. Last time: Boundary value problems Today: Numerical solution of PDEs

Optimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications

Numerical Evans Function Computation Jeffrey Humpherys Brigham Young University INTRODUCTION

STEP Support Programme. STEP III Hyperbolic Functions: Solutions

HADAMARD-PERRON THEOREM

MATH 425, HOMEWORK 3 SOLUTIONS

Linear System Theory (Fall 2011): Homework 1. Solutions

Coherent structures near the boundary between excitable and oscillatory media

KdV PRESERVES WHITE NOISE

Linear Algebra II Lecture 8

Solving First Order PDEs

ON THE EIGENVALUE OF INFINITE MATRICES WITH NONNEGATIVE OFF-DIAGONAL ELEMENTS

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 4 (Products and quotients) & (Logarithmic differentiation) A.J.Hobson

Solving a System of Equations

Lecture 9: 3.4 The Geometry of Linear Systems

CRITERIA FOR TOEPLITZ OPERATORS ON THE SPHERE. Jingbo Xia

Chapter 3 MATHEMATICAL MODELING OF DYNAMIC SYSTEMS

Asymptotics of dissipative nonlinear evolution equations with ellipticity: different end states

THE HOHENBERG-KOHN THEOREM FOR MARKOV SEMIGROUPS

Advanced topics in Finite Element Method 3D truss structures. Jerzy Podgórski

Integration of Basic Functions. Session 7 : 9/23 1

1 Undiscounted Problem (Deterministic)

Solutions for Math 225 Assignment #5 1

Spatial decay of rotating waves in parabolic systems

1 Existence of Travelling Wave Fronts for a Reaction-Diffusion Equation with Quadratic- Type Kinetics

Dispersion relations, stability and linearization

Nonlinear convective stability of travelling fronts near Turing and Hopf instabilities

(i) [7 points] Compute the determinant of the following matrix using cofactor expansion.

Geometric Image Manipulation. Lecture #4 Wednesday, January 24, 2018

Vectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2

Section 7.4: Integration of Rational Functions by Partial Fractions

Analyticity of semigroups generated by Fleming-Viot type operators

Diagonalization of the Coupled-Mode System.

Solutions to Math 152 Review Problems for Exam 1

Applied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems.

FEA Solution Procedure

Continuous dependence estimates for the ergodic problem with an application to homogenization

Characterizations of probability distributions via bivariate regression of record values

On Multiobjective Duality For Variational Problems

Math 116 First Midterm October 14, 2009

SUBORDINATION RESULTS FOR A CERTAIN SUBCLASS OF NON-BAZILEVIC ANALYTIC FUNCTIONS DEFINED BY LINEAR OPERATOR

Math Ordinary Differential Equations

On continuous time contract theory

1 Introduction Travelling-wave solutions of parabolic equations on the real line arise in a variety of applications. An important issue is their stabi

Ground Rules. PC1221 Fundamentals of Physics I. Position and Displacement. Average Velocity. Lectures 7 and 8 Motion in Two Dimensions

New approach for tanh and extended-tanh methods with applications on Hirota-Satsuma equations

Simplified Identification Scheme for Structures on a Flexible Base

Solving First Order PDEs

Minimal periods of semilinear evolution equations with Lipschitz nonlinearity

Solutions to the Calculus and Linear Algebra problems on the Comprehensive Examination of January 28, 2011

Partial Differential Equations, Winter 2015

Solving the Lienard equation by differential transform method

Turning points and traveling waves in FitzHugh-Nagumo type equations

(1.1) g(x) = f'ek(xy)fy)dy,

Convergence to diffusion waves for nonlinear evolution equations with different end states

Theorem 1. ẋ = Ax is globally exponentially stable (GES) iff A is Hurwitz (i.e., max(re(σ(a))) < 0).

Analytical Investigation of Hyperbolic Equations via He s Methods

1 The space of linear transformations from R n to R m :

Lecture 4. Chapter 4: Lyapunov Stability. Eugenio Schuster. Mechanical Engineering and Mechanics Lehigh University.

Group Method. December 16, Oberwolfach workshop Dynamics of Patterns

Linear Algebra, part 2 Eigenvalues, eigenvectors and least squares solutions

Slow-fast dynamics in Josephson junctions

Transcription:

TRAVELLING WAVES Morteza Fotohi Sharif Univ. of Technology Mini Math NeroScience Mini Math NeroScience Agst 28

REACTION DIFFUSION EQUATIONS U = DU + f ( U ) t xx x t > U n D d 1 = d j > d n 2

Travelling wave is a soltion of the form Uxt (,) = Vx ( ct) = x ct cv = DV + f ( V ) V V = W W D 1 = [ cw + f( V)] 3

REST STATE W x eqilibrim V 4

PULSE WAVE W c x V Homoclinic Orbit 5

FRONT WAVE W c x Hetroclinic Orbit V 6

PERIODIC WAVE W c x Periodic Orbit V 7

EXAMPLE FitzHgh-Nagmo g v = v + f () v t t xx = βv fv () = v ( α v )( v 1) 1), < α < 1, 1 < β V = W W = cw f( V) + U U β = V c 8

9

STABILITY If U(x) is a stationary soltion of Reaction- Diffsion eqation, U t = DU xx + f ( U ) we call it stable when for every initial vale close to U in some norm, i.e. the soltion satisfies U < ε X (., t) U( + h) X < δ Frthermore, it is called asymptotically stable, if it is stable and tends towards Ux ( + h), for a constant h. (., t) U( + h) X 1

STABLITY OF TRAVELLING WAVES Uxt (,) = Vx ( ctt,) V = DV + cv + f ( V ) t Vx ( ct ) Travelling wave is a stationary soltion of this PDE. We mean its (asymptotically) y) stability as a stable soltion of this PDE. 11

LINEAR STABILITY Linearize the eqation V = DV + cv + f ( V ) t arond the stationary soltion V() V t = DV + cv + f U ( V) V L = D + c + f U ( V) 12

SPECTRUM Resolvent set ρ( L) { λ L λi L : D ( L ) X X = has a bonded inverse } K > : h X! U X,( L λi) U = h U X K h X 13

Spec ( L ) = \ ρ ( L ) = Σ Σ pt ess Σ pt : point spectrm or eigenvale defined as the kernel of L λi is nontrivial. Σ = Spec ( L )\ Σ ess pt is essential spectrm Example: L : a a1 a a1 (,, ) (,,, ) λ = Spec( L) is not an eigenvale bt becase L = (1,,, ) doesn t have 14 soltion in

SPECTRUM OF LINEAR EQUATION Proposition: If () is a travelling wave soltion and then V V, Spec( L). L = D + c + f U ( V) Proof. Differentiate We fid find DV + cv + f ( V ) = LV = 15

NONLINEAR STABILITY If is a travelling wave soltion of U t = DU xx + f ( U ) with, is a simple eigenvale of L and the other V () λ = {Re( λ) α < } spectrm are located in, then V is asymptotically stable. 16

CASE1: REST STATE, ν V() = V () = e n ν, \{} L = λ Sbstitte for some in the eqation to find eigenvales. We find 2 = [ + + U ( )] λ ν D cνi f V 2 d(, λν): = det[ νd + ( cν λ) I + f ( V )] U 17

CASE1: REST STATE, V() = V Theorem: Spec( L) = { λ d(, ik) = Proof. λ for some k } d(, λ ik), k Assme, we will show that D + c + ( f ( V ) I ) = h( ) h U λ X for every, has soltion and X K h A( λ) 18 = + v v h X

A ( λ ) I = 1 1 D [ λi fu ( V)] cd A( λ) 1 det[ A( λ) νi] = d( λ, ν) det D hyperbolic since d(, λ ik), k is hyperbolic E s ( λ ) = E ( λ ) = stable sbspace, nstable sbspace E s n ( λ) E ( λ) = 19

STRUCTURE OF SPEC(L) Spec ( L ) = { λ d ( λ, ik ) = for some k } = { λ SpecA( λ) i } f U ( V ) Spec ( L ) d ( λ, ik ) =, d λ( λ, ik ) ( ik) k k All eigenvales of lie in If, then there λ is a crve defined for sch that λ ( ik ) = λ, λ ( ik ) SpecA ( λ ) k As, we have Reλ 2

STRUCTURE OF SPEC(L) Spectrm lies in sector { λ < R} {arg λ > π δ} Assme that where i e ϕ λ = SpecL 2 ε < ε 1, ϕ π δ then we show that roots of i ϕ (, ) det[ 2 ( e d λν = νd + cν ) I + f ( )] 2 U V = ε ν are far from i. Let ν = ε 2 i ϕ 2 det[ ν D + ( cνε e ) I + ε f ( V )] = U 21

ε = e ν =± iϕ/2 For, we have is far from d j imaginary axis. And for < ε 1, ν = ν + O () ε is far too. 22

EXAMPLE = + a t xx v + cv + av = 2 d (, λ ik ) = k + ick + a λ = For negative parameter a< the rest wave (x,t)= is stable. 23

CASE 2: PERIODIC WAVE, V( + q) = V( ) = ( L λ I ) = D + c + ( f ( V ( )) λ I ) I A(, λ) = = 1 1 v v D [ λi f ( ( ))] U V cd v U A ( + q, λ ) = A (, λ ) Floqet representation B( ( ) () (, ) λ R λ e v = v 24

The point spectrm is empty. Spec ( L ) = { λ det( B ( λ ) ik ) = for somek } for somek = { λ Spec( B( λ)) i } Eigenfnctions are of the form () = () e ik where ( + q) = ( ) per per Sectoriality of spectrm is also tre in this case. per 25

CASE 3: FRONT, V() V AS ± ± L = D + c + fu ( V ( )) A(, λ) I = 1 1 D [ λi fu ( V( ))] cd E s I lim A ( λ, ) = A ( ) ± λ = 1 1 D [ λi f ( )] U V± cd ( V +, λ ) = : ( ) 2n + v v, v v V E (, λ ) = : () as where + ( ) = 2n as, where v v ( ) = v v

λ is in the resolvent set of L if and only if, A± ( λ) are both hyperbolic with the same Morse index, and + dim E ( λ) = dim E ( λ) E (, λ) E s (, λ) n + = λ is in the point spectrm pt, if and only if, A± ( λ) are both hyperbolic with the same Morse index, bt + dim E ( λ) = dim E ( λ) E s + (, λ) E (, λ) 27

λ is in the essential spectrm ess, if either at least one of the two asymptotic matrices A ( λ) is not hyperbolic, or else if it does, bt the Morse indices are different. ± 28

CASE 4: PULSE, V() V AS ± Special case of front wave with this different that the Morse indices are always the same. lim A( λ, ) = A ( λ ) ± 29

EVANS FUNCTION Choose analytic bases s { V j ( λ )} j = 1,, kand { V ( λ )} = 1,, for s E (, λ ) and E (, λ), respectively. s s 1 k 1 n k j j n k E ( λ ) = det[ V ( λ ),, V ( λ ), V ( λ ),, V ( λ )] Reslt: I. ( ) s E λ = E (, λ) E (, λ) λis an eigenvale. II. λ The order of as a zero of the Evans fnction is eqal to the algebraic mltiplicity of as an eigenvale of L. 3 λ

EXAMPLE Stationary soltion: = + t xx 3 qx ( ) = 2Sechx Linear eqation: v = v + (3 q ( x ) 1) v t xx 2 L = + (3 q( x) 1) xx 2 1 1 Ax (, λ) = A () λ 2 ± = 3() qx 1 λ 1 λ Σ ess = (, 1) 31

1+λ λ x λ 2 ( x, λ ) = e [1+ 1+ λ tanh( x) Sech ( x )] 3 1 + λ x λ 2 + ( x, λ) = e [1 + + 1 + λ tanh( x ) Sech ( x )] 3 (, λ) (, λ) + 2 E( λ) = det = λ( λ 3) 1+ λ (, λ) + (, λ) 9 Σ pt = { 1,,3} 32

NEURAL FIELD: INTEGRO-DIFFERENTIAL EQUATION 1 xt (, ) α t + = xt (,) + γ wyfx ()(( yt,)) dy Rest state: xt (,) = Linear Eqation: + = γ f ( ) w ( y ) dy 1 xt (, ) α t + = xt (,) + β wyx ()( ytdy,) β = γ f ( ) 33

L = + w()( y x y) dy β + Eigenfnctions: ikx x ( ) = e λ + 1 = βwk ˆ( ) If we assme that wy () = w( y), then wk ˆ( ) is a real even fnction of k and the stability condition is β wˆ < 1 max 34

REFERENCE B. Sandstede, Stability of travelling waves, Handbok of Dynamical Systems II, 22. A. I. Volpert, V. A. Volpert, and V. A. Volpert, Traveling wave soltions of parabolic systems, Translations of Mathematical Monographs 14, American Mathematical Society, 1994. L. Zhang S. Coombes C.R. Laing 35