Analysis of PDE models of molecular motors. Benoît Perthame based on works with P. E. Souganidis
|
|
- Regina Charles
- 5 years ago
- Views:
Transcription
1 Analysis of PDE models of molecular motors Benoît Perthame based on works with P. E. Souganidis
2 Asymmetry and motion Except human constructions movement always uses asymmetry
3 Asymmetry and motion See M. Golubitsky ; F. Alouges, A. DeSimone, A. Lefebvre,
4 Asymmetry and motion At small scales, movement uses more elementary devices K[f] = t f(t, x, ξ) + ξ xf }{{} run K(c; ξ, ξ )f(ξ )dξ = K[f] }{{} tumble, K(c; ξ, ξ)dξ f, It is enough that K(ξ, ξ ) IS NOT symmetric to create a drift
5 Molecular motors : motivation Eukariotic cells are structured by various filaments, microtubules... the cytoskeleton
6 Molecular motors : motivation One can observ trafficking of molecules organized along these filaments (more than by diffusion). This is because some proteins can link to these filaments and move along. A very general effect. There should be a simple universal explanation for this motor effect. A. Ajdari, J. Prost, J.-F. Johanny Julicher, Ermentrout, Oster, Peskine, Majda, Howard, Astumina, Hänggi...
7 Molecular motors : motivation One can observ trafficking of molecules organized along these filaments (more than by diffusion). This is because some proteins can link to these filaments and move along. A very general effect. There should be a simple universal explanation for this motor effect. A. Ajdari, J. Prost, J.-F. Joanny Julicher, Ermentrout, Oster, Peskine, Majda, Howard, Astumina, Hänggi...
8 Molecular motors : motivation The conclusion : Molecules diffusing in an asymmetric potential move in a certain direction What is an asymmetric potential? Is just non-symmetric enough like for E Coli?
9 Molecular motors : motivation Molecules diffusing in an asymmetric potential move The framework proposed by Hastings, Kinderlehrer, Kowalczyk... is the Fokker-Planck-Kolmogorov eigenfunction equation ε 2 u x 2 ( ψ (x)u ) x = 0, 0 < x < 1, ε u x + ψ (x)u(x) = 0 at x = 0, 1 (zero flux). Does the density concentrate on one hand : 0 or 1.
10 Molecular motors : motivation ε 2 u x 2 ( ψ (x)u ) x = 0, 0 < x < 1, ε u x + ψ (x)u(x) = 0 at x = 0, 1 (zero flux). Take the potential ψ( ) periodic (with a small period) 1 u(x) = e ψ(x) ε / e ψ(x) ε 0 The mass is exponentially located at minimum of ψ and thus uniformly distributed! A non-symmetric potential is clearly not enough! Physicists knew it well! dx.
11 Molecular motors : motivation ε 2 u x 2 ( ψ (x)u ) x = 0, 0 < x < 1, ε u x + ψ (x)u(x) = 0 at x = 0, 1 (zero flux). Take the potential ψ( ) periodic (with a small period) 1 u(x) = e ψ(x) ε / e ψ(x) ε 0 The mass is exponentially located at minimum of ψ and thus uniformly distributed! A non-symmetric potential is clearly not enough! Physicists knew it well! dx.
12 Molecular motors : motivation ε 2 u x 2 ( ψ (x)u ) x = 0, 0 < x < 1, ε u x + ψ (x)u(x) = 0 at x = 0, 1 (zero flux). Take the potential ψ( ) periodic (with a small period) 1 u(x) = e ψ(x) ε / e ψ(x) ε 0 The mass is exponentially located at minimum of ψ and thus uniformly distributed! A non-symmetric potential is clearly not enough! Physicists knew it well! dx.
13 OUTLINE OF THE LECTURE I. A pure transport case : conformation changes II. A motor using diffusion III. Flashing rachets
14 I. Conventional kinesis : pure transport motors Molecules can reach two conformations u 1, u 2 ε 2 u 1 x 2 ( ψ 1 (x)u 1 ε 2 u 2 x 2 ( ψ 2 (x)u 2 ) ) x + ν 1u 1 = ν 2 u 2, 0 < x < 1, x + ν 2u 2 = ν 1 u 1, ε u i x + ψ i (x)u i(x) = 0 at x = 0, 1 (zero flux). Still an eigenvalue problem The adjoint has 0 a dominant eigenvalue Still mass conservative : 1 0 [u 1 + u 2 ] = 1
15 I. Conventional kinesis : pure transport motors Molecules can reach two conformations u 1, u 2 ε 2 u 1 x 2 ( ψ 1 (x)u 1 ε 2 u 2 x 2 ( ψ 2 (x)u 2 ) ) x + ν 1u 1 = ν 2 u 2, 0 < x < 1, x + ν 2u 2 = ν 1 u 1, ε u i x + ψ i (x)u i(x) = 0 at x = 0, 1 (zero flux). A family of particular solutions is ν i = α(x)e ψ i (x) ε, u i = e ψ i (x) ε. Again there is no motion possible whatever the asymmetry of the potential.
16 I. Conventional kinesis : pure transport motors Definition We say that (ψ 1, ψ 2, ν 1, ν 2 ) is asymmetric if lim i,ε = δ(x) ε 0 or δ(x 1). and more acurately u i,ε = e R i,ε/ε, R i,ε (x) ε 0 R(x), max R(x) = R(0) or R(1) x (0,1) The intuition is δ(x) 1 2πε e x 2 2ε, R ε = x ε ln(2πε) R is an effective potential. For ν i constants, this may occur
17 I. Conventional kinesis : pure transport motors ! !0.02 0!0.03!0.2!0.4!0.04!0.6!0.05!0.8! Left : potentials ψ i,! Right : Effective potential R i,ε
18 I. Conventional kinesis : pure transport motors Theorem (CHK, PS) With ν i constant, ψ are asymmetric if max(ψ 1 (x), ψ 2 (x)) > 0 x (0, 1), min(ψ 1 (x), ψ 2 (x)) > 0 on I 1 and concentration occurs at x = !0.2!0.4!0.6!0.8!
19 II. Conventional kinesis : homogenization case One can use more general asymmetric potentials by juxtaposing them many times : ε 2 u 1 x 2 ( ψ 1 (x ε ) u ) 1 x + ν 1( x ε ) u 1 = ν 2 ( x ε ) u 2, 0 < x < 1, ε 2 u 2 x 2 + ν 2 ( x ε ) u 2 = ν 1 ( x ε ) u 1, u 2 x = ε u 1 x + ψ 1 (x ε )u 1(x) = 0 at x = 0, 1 (zero flux). Set like this it is an homogenization problem The mathematical theory is mainly born with the works of F. Murat and L. Tartar Developed further in Lab. J.-L. Lions (Cioranescu, Allaire)
20 II. Conventional kinesis : homogenization case One can use more general asymmetric potentials by juxtaposing them many times : ε 2 u 1 x 2 ( ψ 1 (x ε ) u ) 1 x + ν 1( x ε ) u 1 = ν 2 ( x ε ) u 2, 0 < x < 1, ε 2 u 2 x 2 + ν 2 ( x ε ) u 2 = ν 1 ( x ε ) u 1, u 2 x = ε u 1 x + ψ 1 (x ε )u 1(x) = 0 at x = 0, 1 (zero flux). New feature : diffusion length interact with the period ε of the potential and coefficients for conformation changes! We still have counter-exemples : u 2 = 1, u 1 = e ψ(x ε )/ε, ν 1 = ν 2 e ψ(x ε ) ψ(y), ν i (y) even
21 II. Conventional kinesis : homogenization case
22 II. Conventional kinesis : homogenization case ε 2 u 1 x 2 ( ψ 1 (x ε ) u ) 1 x + ν 1( x ε ) u 1 = ν 2 ( x ε ) u 2, 0 < x < 1, ε 2 u 2 x 2 + ν 2 ( x ε ) u 2 = ν 1 ( x ε ) u 1, u 2 x = ε u 1 x + ψ 1 (x ε )u 1(x) = 0 at x = 0, 1 (zero flux). We keep the same notion of asymmetric potential Definition We say that (ψ 1, ν 1, ν 2 ) is asymmetric if concentration occurs lim u i,ε = δ(x) or δ(x 1). ε 0 u i,ε = e R i,ε/ε, R i,ε (x) ε 0 R(x), max R(x) = R(0) or R(1) x (0,1)
23 II. Conventional kinesis : homogenization case The effective hamiltonian H(p) is defined by the cell problem 2 ϕ 1 (y) y 2 ( ψ 1 (y) ϕ 1 2 ϕ 2 (y) y 2 ϕ 2 (y)e py, ϕ 1 (y)e py are 1 periodic. Properties H(0) = 0, H(p) is convex, ) y + ν 1(y) ϕ 1 ν 2 (y) ϕ 2 = H(p)ϕ 1 (y), 0 < y < 1, + ν 2 (y) ϕ 2 ν 1 (y) ϕ 1 = H(p)ϕ 2 (y) H(p) = F (p)(e p 1) with F (p) the total flux (independent of y) F (p) = ( ) ϕ 1 y ψ 1 (y) ϕ 1 ( ) y ϕ 2 y + H(p) [ϕ 1 + ϕ 2 ] 0
24 II. Conventional kinesis : homogenization case The effective hamiltonian H(p) defines the motor effect : Theorem The potential is asymmetric if one of the equivalent properties are true p 0, such that H( p) = 0, F (0) 0, and then F ( p) = 0. Conclusion1 A single number measures the efficiency of the motor Conclusion 2 Potentials are generically asymmetric. Or conversely, it is exceptional that F (0) = 0 Conclusion 3 By perturbations of a symmetric potential one can create a asymmetric potential
25 II. Conventional kinesis : homogenization case The effective hamiltonian H(p) defines the motor effect : Theorem The potential is asymmetric if one of the equivalent properties are true p 0, such that H( p) = 0, F (0) 0, and then F ( p) = 0. Conclusion 1 A single number measures the efficiency of the motor Conclusion 2 Potentials are generically asymmetric. Or conversely, it is exceptional that F (0) = 0 Conclusion 3 By perturbations of a symmetric potential one can create a asymmetric potential
26 II. Conventional kinesis : homogenization case Remark For neutron transport, similar effects are known (asymmetry of micro-structures change growth rates) (Allaire, Capdebosq). The model is set with Dirichlet and the quantity of importance is min H(p) = H( p)
27 II. Conventional kinesis : homogenization case R i,ε Theorem For asymmetric potentials u i,ε = e ε and R i,ε ε 0 R, x (0, 1), R(x) < R(0) or R(1) and the sign of p = R decides between 0 and 1. Proof ε 2 R 1,ε x 2 ε 2 R 2,ε x 2 ( ) R1,ε x ( ) R2,ε 2 x 2 ( ψ 1 (y) R 1,ε ) x R 2,ε R 1,ε + ν 1(y) = ν 2 (y) e ε, + ν 2 (y) = ν 1 (y) ϕ 1 e Use specific a priori bounds, the method of viscosiy solutions (Crandall, Lions), the modulated test function method (L. C. Evans), some duality arguments. R 1,ε R 2,ε ε
28
29
30 III. Flashing rachets u t ε 2 u x 2 ( ψ ( ε t, x ε ) u) = 0, x 0 < x < 1, ε u x + ψ ( ε t, x ε )u(t, x) = 0 at x = 0, 1 (zero flux), u(t, x) ε periodic in time By Floquet theory, this time-periodic solution (up to multiplication by a constant) attracts all the solutions. The same theory applies and asymmetry is characterized by an effective hamiltonian H(p). The limiting effective potential R is independent of time.
31 III. Flashing rachets The effective hamiltonian H(p) is defined by the cell problem Properties ϕ(τ,y) t 2 ϕ(y) y 2 ( ψ (τ, y) ϕ ) = H(p)ϕ(τ, y), 0 < y < 1, y ϕ(τ, y)e py are 1 periodic in y and τ. H(0) = 0, H(p) is convex, H(p) = 1 0 F (τ, p)dτ (e p 1) with F (p) the total flux F (τ, p) = ϕ y (τ, 0) ψ (τ, 0) ϕ(τ, 0) Asymmetric potentials means F (0) 0, p s.t. H( p) = 0
32 Conclusion Conclusion A single number F (0) characterizes if asymmetry and motor effect hold Effciency is given by the number p = R Open questions Conventional kinesis : study the limits t, ε 0 Flashing rachets : other scaling in time Pulsating waves for x R (see Blanchet, Dolbeault, Kowalczyk) Prove rigorously that the set of asymmetric potential is open and dense (see P. Collet & S. Martinez)
33 Conclusion Laboratoire J.-L. Lions UPMC
TRANSPORT IN POROUS MEDIA
1 TRANSPORT IN POROUS MEDIA G. ALLAIRE CMAP, Ecole Polytechnique 1. Introduction 2. Main result in an unbounded domain 3. Asymptotic expansions with drift 4. Two-scale convergence with drift 5. The case
More informationDIFFUSION MEDIATED TRANSPORT AND THE BROWNIAN MOTOR
DIFFUSION MEDIATED TRANSPORT AND THE BROWNIAN MOTOR David Kinderlehrer Center for Nonlinear Analysis and Department of Mathematical Sciences Carnegie Mellon University Pittsburgh, PA USA davidk@cmu.edu
More informationMath 342 Partial Differential Equations «Viktor Grigoryan
Math 342 Partial Differential Equations «Viktor Grigoryan 15 Heat with a source So far we considered homogeneous wave and heat equations and the associated initial value problems on the whole line, as
More informationDynamical systems with Gaussian and Levy noise: analytical and stochastic approaches
Dynamical systems with Gaussian and Levy noise: analytical and stochastic approaches Noise is often considered as some disturbing component of the system. In particular physical situations, noise becomes
More informationStochastic Homogenization for Reaction-Diffusion Equations
Stochastic Homogenization for Reaction-Diffusion Equations Jessica Lin McGill University Joint Work with Andrej Zlatoš June 18, 2018 Motivation: Forest Fires ç ç ç ç ç ç ç ç ç ç Motivation: Forest Fires
More informationRemarks about diffusion mediated transport: thinking about motion in small systems
Remarks about diffusion mediated transport: thinking about motion in small systems Stuart Hastings Department of Mathematics University of Pittsburgh, Pittsburgh, PA 5260, USA, E-mail: sph+@pitt.edu David
More informationAdaptive evolution : a population approach Benoît Perthame
Adaptive evolution : a population approach Benoît Perthame Adaptive dynamic : selection principle d dt n(x, t) = n(x, t)r( x, ϱ(t) ), ϱ(t) = R d n(x, t)dx. given x, n(x) = ϱ δ(x x), R( x, ϱ) = 0, ϱ( x).
More informationExit times of diffusions with incompressible drifts
Exit times of diffusions with incompressible drifts Andrej Zlatoš University of Chicago Joint work with: Gautam Iyer (Carnegie Mellon University) Alexei Novikov (Pennylvania State University) Lenya Ryzhik
More informationCONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence
1 CONVERGENCE THEOR G. ALLAIRE CMAP, Ecole Polytechnique 1. Maximum principle 2. Oscillating test function 3. Two-scale convergence 4. Application to homogenization 5. General theory H-convergence) 6.
More informationLecture 12: Detailed balance and Eigenfunction methods
Lecture 12: Detailed balance and Eigenfunction methods Readings Recommended: Pavliotis [2014] 4.5-4.7 (eigenfunction methods and reversibility), 4.2-4.4 (explicit examples of eigenfunction methods) Gardiner
More informationCompactness 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 informationAdaptive evolution : a population approach Benoît Perthame
Adaptive evolution : a population approach Benoît Perthame OUTLINE OF THE LECTURE Interaction between a physiological trait and space I. Space and physiological trait II. Selection of dispersal (bounded
More informationProblem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx.
Problem set 3: Solutions Math 27B, Winter 216 1. Suppose that u(x) is a non-zero solution of the eigenvalue problem u = λu < x < 1, u() =, u(1) =. Show that λ = (u ) 2 dx u2 dx. Deduce that every eigenvalue
More informationA Free Energy Based Mathematical Study for Molecular Motors 1
ISSN 1560-3547, Regular and Chaotic Dynamics, 2011, Vol. 16, Nos. 1 2, pp. 118 128. c Pleiades Publishing, Ltd., 2011. A Free Energy Based Mathematical Study for Molecular Motors 1 Shui-Nee Chow 1*, Wen
More informationDedicated to Professor Henk Broer for his 60th Birthday
A PARRONDO S PARADOX OF FREE ENERGY AND ITS APPLICATION ON MOLECULAR MOTORS SHUI-NEE CHOW, WEN HUANG, YAO LI AND HAOMIN ZHOU Dedicated to Professor Henk Broer for his 6th Birthday Abstract. We give a Parrondo
More informationA variational principle for molecular motors
A variational principle for molecular motors MICHEL CHIPOT, DAVID KINDERLEHRER, AND MICHAL KOWALCZYK Dedicated to PIERO VILLAGGIO. Introduction Intracellular transport in eukarya is attributed to motor
More informationOPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS
PORTUGALIAE MATHEMATICA Vol. 59 Fasc. 2 2002 Nova Série OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS J. Saint Jean Paulin and H. Zoubairi Abstract: We study a problem of
More informationOn semilinear elliptic equations with measure data
On semilinear elliptic equations with measure data Andrzej Rozkosz (joint work with T. Klimsiak) Nicolaus Copernicus University (Toruń, Poland) Controlled Deterministic and Stochastic Systems Iasi, July
More informationMath 46, Applied Math (Spring 2009): Final
Math 46, Applied Math (Spring 2009): Final 3 hours, 80 points total, 9 questions worth varying numbers of points 1. [8 points] Find an approximate solution to the following initial-value problem which
More informationAdaptive evolution : a population approach Benoît Perthame
Adaptive evolution : a population approach Benoît Perthame 30 20 t 50 t 10 x 0 1 0.5 0 0.5 1 x 0 1 0.5 0 0.5 1 OUTLINE OF THE LECTURE DIRECT COMPETITION AND POLYMORPHIC CONCENTRATIONS I. Direct competition
More informationA Narrow-Stencil Finite Difference Method for Hamilton-Jacobi-Bellman Equations
A Narrow-Stencil Finite Difference Method for Hamilton-Jacobi-Bellman Equations Xiaobing Feng Department of Mathematics The University of Tennessee, Knoxville, U.S.A. Linz, November 23, 2016 Collaborators
More informationZ. Zhou On the classical limit of a time-dependent self-consistent field system: analysis. computation
On the classical limit of a time-dependent self-consistent field system: analysis and computation Zhennan Zhou 1 joint work with Prof. Shi Jin and Prof. Christof Sparber. 1 Department of Mathematics Duke
More informationLecture 12: Detailed balance and Eigenfunction methods
Miranda Holmes-Cerfon Applied Stochastic Analysis, Spring 2015 Lecture 12: Detailed balance and Eigenfunction methods Readings Recommended: Pavliotis [2014] 4.5-4.7 (eigenfunction methods and reversibility),
More informationMATH34032 Mid-term Test 10.00am 10.50am, 26th March 2010 Answer all six question [20% of the total mark for this course]
MATH3432: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH3432 Mid-term Test 1.am 1.5am, 26th March 21 Answer all six question [2% of the total mark for this course] Qu.1 (a)
More informationMATH 220: MIDTERM OCTOBER 29, 2015
MATH 22: MIDTERM OCTOBER 29, 25 This is a closed book, closed notes, no electronic devices exam. There are 5 problems. Solve Problems -3 and one of Problems 4 and 5. Write your solutions to problems and
More informationGreen Function of a Time-Dependent Linear PDE
Green Function of a Time-Dependent Linear PDE Consider one-dimensional linear PDE of the form γu t = u xx, (1) where u = u(x, t), x (, ), u t = u/ t, u xx = 2 u/ x 2. We want to find u(x, t), provided
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 informationVariant of Optimality Criteria Method for Multiple State Optimal Design Problems
Variant of Optimality Criteria Method for Multiple State Optimal Design Problems Ivana Crnjac J. J. STROSSMAYER UNIVERSITY OF OSIJEK DEPARTMENT OF MATHEMATICS Trg Ljudevita Gaja 6 3000 Osijek, Hrvatska
More informationHomogenization of micro-resonances and localization of waves.
Homogenization of micro-resonances and localization of waves. Valery Smyshlyaev University College London, UK July 13, 2012 (joint work with Ilia Kamotski UCL, and Shane Cooper Bath/ Cardiff) Valery Smyshlyaev
More informationSeparation of Variables in Linear PDE: One-Dimensional Problems
Separation of Variables in Linear PDE: One-Dimensional Problems Now we apply the theory of Hilbert spaces to linear differential equations with partial derivatives (PDE). We start with a particular example,
More informationFourier transforms, I
(November 28, 2016) Fourier transforms, I Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/fun/notes 2016-17/Fourier transforms I.pdf]
More informationSINC 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 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 informationApplications of the periodic unfolding method to multi-scale problems
Applications of the periodic unfolding method to multi-scale problems Doina Cioranescu Université Paris VI Santiago de Compostela December 14, 2009 Periodic unfolding method and multi-scale problems 1/56
More informationDelocalization for Schrödinger operators with random Dirac masses
Delocalization for Schrödinger operators with random Dirac masses CEMPI Scientific Day Lille, 10 February 2017 Disordered Systems E.g. box containing N nuclei Motion of electron in this system High temperature
More informationOn some weighted fractional porous media equations
On some weighted fractional porous media equations Gabriele Grillo Politecnico di Milano September 16 th, 2015 Anacapri Joint works with M. Muratori and F. Punzo Gabriele Grillo Weighted Fractional PME
More information1 Introduction. 2 Diffusion equation and central limit theorem. The content of these notes is also covered by chapter 3 section B of [1].
1 Introduction The content of these notes is also covered by chapter 3 section B of [1]. Diffusion equation and central limit theorem Consider a sequence {ξ i } i=1 i.i.d. ξ i = d ξ with ξ : Ω { Dx, 0,
More informationContinuous dependence estimates for the ergodic problem with an application to homogenization
Continuous dependence estimates for the ergodic problem with an application to homogenization Claudio Marchi Bayreuth, September 12 th, 2013 C. Marchi (Università di Padova) Continuous dependence Bayreuth,
More informationWhat can you really measure? (Realistically) How to differentiate nondifferentiable functions?
I. Introduction & Motivation I.1. Physical motivation. What can you really measure? (Realistically) T (x) vs. T (x)ϕ(x) dx. I.2. Mathematical motivation. How to differentiate nondifferentiable functions?
More informationFree energy estimates for the two-dimensional Keller-Segel model
Free energy estimates for the two-dimensional Keller-Segel model dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine in collaboration with A. Blanchet (CERMICS, ENPC & Ceremade) & B.
More informationPeriodic homogenization and effective mass theorems for the Schrödinger equation
Periodic homogenization and effective mass theorems for the Schrödinger equation Grégoire Allaire September 5, 2006 Abstract The goal of this course is to give an introduction to periodic homogenization
More informationPartial Differential Equations
Part II Partial Differential Equations Year 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2015 Paper 4, Section II 29E Partial Differential Equations 72 (a) Show that the Cauchy problem for u(x,
More information13. Fourier transforms
(December 16, 2017) 13. Fourier transforms Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2017-18/13 Fourier transforms.pdf]
More information2012 NCTS Workshop on Dynamical Systems
Barbara Gentz gentz@math.uni-bielefeld.de http://www.math.uni-bielefeld.de/ gentz 2012 NCTS Workshop on Dynamical Systems National Center for Theoretical Sciences, National Tsing-Hua University Hsinchu,
More informationRobustness for a Liouville type theorem in exterior domains
Robustness for a Liouville type theorem in exterior domains Juliette Bouhours 1 arxiv:1207.0329v3 [math.ap] 24 Oct 2014 1 UPMC Univ Paris 06, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris,
More informationSobolev Spaces. Chapter 10
Chapter 1 Sobolev Spaces We now define spaces H 1,p (R n ), known as Sobolev spaces. For u to belong to H 1,p (R n ), we require that u L p (R n ) and that u have weak derivatives of first order in L p
More informationMath 5587 Lecture 2. Jeff Calder. August 31, Initial/boundary conditions and well-posedness
Math 5587 Lecture 2 Jeff Calder August 31, 2016 1 Initial/boundary conditions and well-posedness 1.1 ODE vs PDE Recall that the general solutions of ODEs involve a number of arbitrary constants. Example
More informationMATH3383. Quantum Mechanics. Appendix D: Hermite Equation; Orthogonal Polynomials
MATH3383. Quantum Mechanics. Appendix D: Hermite Equation; Orthogonal Polynomials. Hermite Equation In the study of the eigenvalue problem of the Hamiltonian for the quantum harmonic oscillator we have
More informationFree Energy, Fokker-Planck Equations, and Random walks on a Graph with Finite Vertices
Free Energy, Fokker-Planck Equations, and Random walks on a Graph with Finite Vertices Haomin Zhou Georgia Institute of Technology Jointly with S.-N. Chow (Georgia Tech) Wen Huang (USTC) Yao Li (NYU) Research
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 informationTWO-SCALE CONVERGENCE ON PERIODIC SURFACES AND APPLICATIONS
TWO-SCALE CONVERGENCE ON PERIODIC SURFACES AND APPLICATIONS Grégoire ALLAIRE Commissariat à l Energie Atomique DRN/DMT/SERMA, C.E. Saclay 91191 Gif sur Yvette, France Laboratoire d Analyse Numérique, Université
More informationplasmas Lise-Marie Imbert-Gérard, Bruno Després. July 27th 2011 Laboratoire J.-L. LIONS, Université Pierre et Marie Curie, Paris.
Lise-Marie Imbert-Gérard, Bruno Després. Laboratoire J.-L. LIONS, Université Pierre et Marie Curie, Paris. July 27th 2011 1 Physical and mathematical motivations 2 approximation of the solutions 3 4 Plan
More informationMechanics of Motor Proteins and the Cytoskeleton Jonathon Howard Chapter 10 Force generation 2 nd part. Andrea and Yinyun April 4 th,2012
Mechanics of Motor Proteins and the Cytoskeleton Jonathon Howard Chapter 10 Force generation 2 nd part Andrea and Yinyun April 4 th,2012 I. Equilibrium Force Reminder: http://www.youtube.com/watch?v=yt59kx_z6xm
More informationWe denote the space of distributions on Ω by D ( Ω) 2.
Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study
More informationApplied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books.
Applied Analysis APPM 44: Final exam 1:3pm 4:pm, Dec. 14, 29. Closed books. Problem 1: 2p Set I = [, 1]. Prove that there is a continuous function u on I such that 1 ux 1 x sin ut 2 dt = cosx, x I. Define
More informationHeat content asymptotics of some domains with fractal boundary
Heat content asymptotics of some domains with fractal boundary Philippe H. A. Charmoy Mathematical Institute, University of Oxford Partly based on joint work with D.A. Croydon and B.M. Hambly Cornell,
More informationNumerics and Control of PDEs Lecture 7. IFCAM IISc Bangalore. Feedback stabilization of a 1D nonlinear model
1/3 Numerics and Control of PDEs Lecture 7 IFCAM IISc Bangalore July August, 13 Feedback stabilization of a 1D nonlinear model Mythily R., Praveen C., Jean-Pierre R. /3 Plan of lecture 7 1. The nonlinear
More informationAsymptotic Analysis of the Approximate Control for Parabolic Equations with Periodic Interface
Asymptotic Analysis of the Approximate Control for Parabolic Equations with Periodic Interface Patrizia Donato Université de Rouen International Workshop on Calculus of Variations and its Applications
More informationDNA Bubble Dynamics. Hans Fogedby Aarhus University and Niels Bohr Institute Denmark
DNA Bubble Dynamics Hans Fogedby Aarhus University and Niels Bohr Institute Denmark Principles of life Biology takes place in wet and warm environments Open driven systems - entropy decreases Self organization
More informationFirst Passage Time Calculations
First Passage Time Calculations Friday, April 24, 2015 2:01 PM Homework 4 will be posted over the weekend; due Wednesday, May 13 at 5 PM. We'll now develop some framework for calculating properties of
More informationVISCOSITY SOLUTIONS AND CONVERGENCE OF MONOTONE SCHEMES FOR SYNTHETIC APERTURE RADAR SHAPE-FROM-SHADING EQUATIONS WITH DISCONTINUOUS INTENSITIES
SIAM J. APPL. MATH. Vol. 59, No. 6, pp. 2060 2085 c 1999 Society for Industrial and Applied Mathematics VISCOSITY SOLUTIONS AND CONVERGENCE OF MONOTONE SCHEMES FOR SYNTHETIC APERTURE RADAR SHAPE-FROM-SHADING
More informationLarge Solutions for Fractional Laplacian Operators
Some results of the PhD thesis Nicola Abatangelo Advisors: Louis Dupaigne, Enrico Valdinoci Université Libre de Bruxelles October 16 th, 2015 The operator Fix s (0, 1) and consider a measurable function
More informationControllability of linear PDEs (I): The wave equation
Controllability of linear PDEs (I): The wave equation M. González-Burgos IMUS, Universidad de Sevilla Doc Course, Course 2, Sevilla, 2018 Contents 1 Introduction. Statement of the problem 2 Distributed
More informationDerivation of the Nonlinear Schrödinger Equation. from First Principles. Theodore Bodurov
Annales de la Fondation Louis de Broglie, Volume 30, no 3-4, 2005 343 Derivation of the Nonlinear Schrödinger Equation from First Principles Theodore Bodurov Eugene, Oregon, USA, email: bodt@efn.org ABSTRACT.
More informationCLASSICAL LIMIT FOR SEMI-RELATIVISTIC HARTREE SYSTEMS
CLASSICAL LIMIT FOR SEMI-RELATIVISTIC HARTREE SYSTEMS GONCA L. AKI, PETER A. MARKOWICH, AND CHRISTOF SPARBER Abstract. We consider the three-dimensional semi-relativistic Hartree model for fast quantum
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 informationGreedy Control. Enrique Zuazua 1 2
Greedy Control Enrique Zuazua 1 2 DeustoTech - Bilbao, Basque Country, Spain Universidad Autónoma de Madrid, Spain Visiting Fellow of LJLL-UPMC, Paris enrique.zuazua@deusto.es http://enzuazua.net X ENAMA,
More informationExit times of diffusions with incompressible drift
Exit times of diffusions with incompressible drift Gautam Iyer, Carnegie Mellon University gautam@math.cmu.edu Collaborators: Alexei Novikov, Penn. State Lenya Ryzhik, Stanford University Andrej Zlatoš,
More informationTopics in Harmonic Analysis Lecture 1: The Fourier transform
Topics in Harmonic Analysis Lecture 1: The Fourier transform Po-Lam Yung The Chinese University of Hong Kong Outline Fourier series on T: L 2 theory Convolutions The Dirichlet and Fejer kernels Pointwise
More informationA regularity property for Schrödinger equations on bounded domains
A regularity property for Schrödinger equations on bounded domains Jean-Pierre Puel October 8, 11 Abstract We give a regularity result for the free Schrödinger equations set in a bounded domain of R N
More informationSemiclassical limit of the Schrödinger-Poisson-Landau-Lifshitz-Gilbert system
Semiclassical limit of the Schrödinger-Poisson-Landau-Lifshitz-Gilbert system Lihui Chai Department of Mathematics University of California, Santa Barbara Joint work with Carlos J. García-Cervera, and
More informationQuantitative Homogenization of Elliptic Operators with Periodic Coefficients
Quantitative Homogenization of Elliptic Operators with Periodic Coefficients Zhongwei Shen Abstract. These lecture notes introduce the quantitative homogenization theory for elliptic partial differential
More informationGroup Method. December 16, Oberwolfach workshop Dynamics of Patterns
CWI, Amsterdam heijster@cwi.nl December 6, 28 Oberwolfach workshop Dynamics of Patterns Joint work: A. Doelman (CWI/UvA), T.J. Kaper (BU), K. Promislow (MSU) Outline 2 3 4 Interactions of localized structures
More informationReconstructing inclusions from Electrostatic Data
Reconstructing inclusions from Electrostatic Data Isaac Harris Texas A&M University, Department of Mathematics College Station, Texas 77843-3368 iharris@math.tamu.edu Joint work with: W. Rundell Purdue
More informationPeriodic homogenization for inner boundary conditions with equi-valued surfaces: the unfolding approach
Periodic homogenization for inner boundary conditions with equi-valued surfaces: the unfolding approach Alain Damlamian Université Paris-Est, Laboratoire d Analyse et de Mathématiques Appliquées, CNRS
More informationSome Aspects of Solutions of Partial Differential Equations
Some Aspects of Solutions of Partial Differential Equations K. Sakthivel Department of Mathematics Indian Institute of Space Science & Technology(IIST) Trivandrum - 695 547, Kerala Sakthivel@iist.ac.in
More informationChapter 7: Bounded Operators in Hilbert Spaces
Chapter 7: Bounded Operators in Hilbert Spaces I-Liang Chern Department of Applied Mathematics National Chiao Tung University and Department of Mathematics National Taiwan University Fall, 2013 1 / 84
More informationp 1 ( Y p dp) 1/p ( X p dp) 1 1 p
Doob s inequality Let X(t) be a right continuous submartingale with respect to F(t), t 1 P(sup s t X(s) λ) 1 λ {sup s t X(s) λ} X + (t)dp 2 For 1 < p
More informationHomogenization of a Hele-Shaw-type problem in periodic time-dependent med
Homogenization of a Hele-Shaw-type problem in periodic time-dependent media University of Tokyo npozar@ms.u-tokyo.ac.jp KIAS, Seoul, November 30, 2012 Hele-Shaw problem Model of the pressure-driven }{{}
More informationMath 46, Applied Math (Spring 2008): Final
Math 46, Applied Math (Spring 2008): Final 3 hours, 80 points total, 9 questions, roughly in syllabus order (apart from short answers) 1. [16 points. Note part c, worth 7 points, is independent of the
More informationFOURIER TRANSFORMS. 1. Fourier series 1.1. The trigonometric system. The sequence of functions
FOURIER TRANSFORMS. Fourier series.. The trigonometric system. The sequence of functions, cos x, sin x,..., cos nx, sin nx,... is called the trigonometric system. These functions have period π. The trigonometric
More informationLECTURE 5: THE METHOD OF STATIONARY PHASE
LECTURE 5: THE METHOD OF STATIONARY PHASE Some notions.. A crash course on Fourier transform For j =,, n, j = x j. D j = i j. For any multi-index α = (α,, α n ) N n. α = α + + α n. α! = α! α n!. x α =
More information1. Differential Equations (ODE and PDE)
1. Differential Equations (ODE and PDE) 1.1. Ordinary Differential Equations (ODE) So far we have dealt with Ordinary Differential Equations (ODE): involve derivatives with respect to only one variable
More informationNumerical schemes of resolution of stochastic optimal control HJB equation
Numerical schemes of resolution of stochastic optimal control HJB equation Elisabeth Ottenwaelter Journée des doctorants 7 mars 2007 Équipe COMMANDS Elisabeth Ottenwaelter (INRIA et CMAP) Numerical schemes
More informationUNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH
UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH College of Informatics and Electronics END OF SEMESTER ASSESSMENT PAPER MODULE CODE: MS425 SEMESTER: Autumn 25/6 MODULE TITLE: Applied Analysis DURATION OF EXAMINATION:
More informationNonlinear Modulational Instability of Dispersive PDE Models
Nonlinear Modulational Instability of Dispersive PDE Models Jiayin Jin, Shasha Liao, and Zhiwu Lin Georgia Tech ICERM workshop on water waves, 4/28/2017 Jiayin Jin, Shasha Liao, and Zhiwu Lin Georgia Tech
More informationElliptic Kirchhoff equations
Elliptic Kirchhoff equations David ARCOYA Universidad de Granada Sevilla, 8-IX-2015 Workshop on Recent Advances in PDEs: Analysis, Numerics and Control In honor of Enrique Fernández-Cara for his 60th birthday
More informationThe Heat Equation John K. Hunter February 15, The heat equation on a circle
The Heat Equation John K. Hunter February 15, 007 The heat equation on a circle We consider the diffusion of heat in an insulated circular ring. We let t [0, ) denote time and x T a spatial coordinate
More informationADJOINT METHODS FOR OBSTACLE PROBLEMS AND WEAKLY COUPLED SYSTEMS OF PDE. 1. Introduction
ADJOINT METHODS FOR OBSTACLE PROBLEMS AND WEAKLY COPLED SYSTEMS OF PDE F. CAGNETTI, D. GOMES, AND H.V. TRAN Abstract. The adjoint method, recently introduced by Evans, is used to study obstacle problems,
More informationThe speed of propagation for KPP type problems. II - General domains
The speed of propagation for KPP type problems. II - General domains Henri Berestycki a, François Hamel b and Nikolai Nadirashvili c a EHESS, CAMS, 54 Boulevard Raspail, F-75006 Paris, France b Université
More informationP(E t, Ω)dt, (2) 4t has an advantage with respect. to the compactly supported mollifiers, i.e., the function W (t)f satisfies a semigroup law:
Introduction Functions of bounded variation, usually denoted by BV, have had and have an important role in several problems of calculus of variations. The main features that make BV functions suitable
More informationMotivation Power curvature flow Large exponent limit Analogues & applications. Qing Liu. Fukuoka University. Joint work with Prof.
On Large Exponent Behavior of Power Curvature Flow Arising in Image Processing Qing Liu Fukuoka University Joint work with Prof. Naoki Yamada Mathematics and Phenomena in Miyazaki 2017 University of Miyazaki
More informationI. Introduction & Motivation
I. Introduction & Motivation I.1. Physical motivation. From [St]: consider a function T (x) as representing the value of a physical variable at a particular point x in space. Is this a realistic thing
More informationEXISTENCE RESULTS FOR OPERATOR EQUATIONS INVOLVING DUALITY MAPPINGS VIA THE MOUNTAIN PASS THEOREM
EXISTENCE RESULTS FOR OPERATOR EQUATIONS INVOLVING DUALITY MAPPINGS VIA THE MOUNTAIN PASS THEOREM JENICĂ CRÎNGANU We derive existence results for operator equations having the form J ϕu = N f u, by using
More informationAPM526 CLASSROOM NOTES PART IB. APM526, Spring 2018 Last update: MAR 12
APM526 CLASSROOM NOTES PART IB APM526, Spring 2018 Last update: MAR 12 1 PARTICLE METHODS 1. Particle based methods: Large systems of ODEs for individual particles. 2. Partial differential equations: Equations
More informationRelation between Distributional and Leray-Hopf Solutions to the Navier-Stokes Equations
Relation between Distributional and Leray-Hopf Solutions to the Navier-Stokes Equations Giovanni P. Galdi Department of Mechanical Engineering & Materials Science and Department of Mathematics University
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 informationKPP Pulsating Traveling Fronts within Large Drift
KPP Pulsating Traveling Fronts within Large Drift Mohammad El Smaily Joint work with Stéphane Kirsch University of British olumbia & Pacific Institute for the Mathematical Sciences September 17, 2009 PIMS
More informationIntroduction to Pseudodifferential Operators
Introduction to Pseudodifferential Operators Mengxuan Yang Directed by Prof. Dean Baskin May, 206. Introductions and Motivations Classical Mechanics & Quantum Mechanics In classical mechanics, the status
More informationGenerators for Continuous Coordinate Transformations
Page 636 Lecture 37: Coordinate Transformations: Continuous Passive Coordinate Transformations Active Coordinate Transformations Date Revised: 2009/01/28 Date Given: 2009/01/26 Generators for Continuous
More information