Ergodicity in infinite dimensions: summary and some names and facese

Size: px
Start display at page:

Download "Ergodicity in infinite dimensions: summary and some names and facese"

Transcription

1 Ergodicity in infinite dimensions: summary and some names and facese

2 Notions from the main story Continuous dynamical system Ergodicity and mixing (weak, strong) Invariant set; angle variable Canonical dynamical system Properties of the transition semigroup: continuity; recurrence; irreducibility; Feller, strong Feller, etc. Mild solution vs. variational solutions Dissipative and m-dissipative operators Reaction-diffusion equation Chaos expansion

3 Results from the main story Koopman-von Neumann theorem Characterizations and properties of ergodic measures Krylov-Bogoljubov theorem: invariant measure from compactness; going forward in time Doob s theorem: regularity implies (a) ergodicity of every invariant measure, (b) uniqueness of an invariant measure, (c) strong mixing of the invariant measure, but it does not imply existence Strong Feller and irreducibility imply regularity (Suitable) dissipativity implies existence (going backward in time), uniqueness, and exponential mixing of an invariant measure Condition ImS(t) Im(Q 1/2 t ) is equivalent to the strong Feller property for the OU process

4 Questions from the main story Continuity of the semigroup vs continuity of the canonical process Strong mixing in Doob s theorem Properties of the pressure in the stochastic Navier-Stokes equation

5 Other notions Hilbert cube (as an example of an infinite-dimensional locally compact separable metric space) Cylindrical process; space-time white noise Hilbert-Schmidt and trace-class operators Hilbert space-valued martingales Support of a measure Distance in total variation and other ways to measure distance between measures ω-excessive functions: ρ(x) ω ρ(x) Yosida approximation of a dissipative operator Null controllability and approximate controllability Normal (Gel fand, evolution) triple of Hilbert spaces Gibbs measure Leray-Helmholtz projector and the Stokes operator

6 Other results Basic ergodic theorems: pointwise (Birkhoff), mean (von Neumann), maximal Stone s theorem (self-adjoint/skew-symmetric operators generate unitary groups) Lumer-Phillps theorem (m-dissipative operators generate contraction semigroups) Hille-Phillips theorem (generators of C 0 semigroups) Spectral decomposition of a self-adjoin operator Kolmogorov s continuity criterion Burkholder-Davis-Gundy inequality

7 More results Two versions of the Itô formula in infinite dimensions Spectrum of 1-d OU semigroup Cameron-Martin theorem Cameron-Martin formula Feldman-Hajek theorem Stability of delay equations Derivation of basic equations of fluid motion Elimination of pressure in the Navier-Stokes equation

8 Gronwall s inequality Thomas Hakon Grönwall ( ): Swedish-American (1919)

9 Sobolev (embedding theorems and spaces) Sergei Lvovich Sobolev ( ), Russian (Sobolev spaces: 1930s)

10 Neumann Problem: father or son? Franz Ernst Neumann (father) , Carl Gottfried Neumann (son) Both worked in math physics.

11 Gibbs Measure Josiah Willard Gibbs ( ), American

12 Euler s equations Leonhard Euler Born ( ), Swiss (fluids: 1750s)

13 Navier and Stokes Claude Louis Marie Henri Navier ( ), French (1822) George Gabriel Stokes ( ), British (1842)

14 Leray-Helmholtz projector Jean Leray ( ), French (1930s) Baron Hermann Ludwig Ferdinand von Helmholtz ( ), German

15 Burgers Equation Harry Bateman ( ), British-American (1915) Johannes Martinus Burgers ( ), Dutch ( )

16 Asymptotically Strong Feller Property Martin Hairer (b. 1975), Austrian. Ph.D (Physics, U. of Geneva). Jonathan Mattingly (b. 1969), American. Ph.D (Princeton).

17 The authors Giuseppe Da Prato (b (?)), Italian. Ph.D hits on MathSciNet. 22 Ph.D. students total, including S. Cerrai, F. Flandoli, M. Fuhrman, A. Lunardi, E. Priola, G. Tessitore, L. Tubaro, L. Zambotti. Jerzy Zabczyk (b. 1941), Polish. Ph.D. 1969, Habilitation hits on MathSciNet. His Ph.D. students: A. Chojnowska-Michalik, L. Stettner, T. Bielecki, S. Peszat, A. Milian, J. Sobczyk, W. Jachimiak.

Ergodicity for Infinite Dimensional Systems

Ergodicity for Infinite Dimensional Systems London Mathematical Society Lecture Note Series. 229 Ergodicity for Infinite Dimensional Systems G. DaPrato Scuola Normale Superiore, Pisa J. Zabczyk Polish Academy of Sciences, Warsaw If CAMBRIDGE UNIVERSITY

More information

Stochastic Partial Differential Equations with Levy Noise

Stochastic Partial Differential Equations with Levy Noise Stochastic Partial Differential Equations with Levy Noise An Evolution Equation Approach S..PESZAT and J. ZABCZYK Institute of Mathematics, Polish Academy of Sciences' CAMBRIDGE UNIVERSITY PRESS Contents

More information

Uniqueness of Solutions to the Stochastic Navier-Stokes, the Invariant Measure and Kolmogorov s Theory

Uniqueness of Solutions to the Stochastic Navier-Stokes, the Invariant Measure and Kolmogorov s Theory of Uniqueness of Solutions to the Stochastic Navier-Stokes, and Kolmogorov s Björn Center for Complex and Non-Linear Science and Department of Mathematics, UC Santa Barbara and Finance, Sandbjerg 2008

More information

Strong uniqueness for stochastic evolution equations with possibly unbounded measurable drift term

Strong uniqueness for stochastic evolution equations with possibly unbounded measurable drift term 1 Strong uniqueness for stochastic evolution equations with possibly unbounded measurable drift term Enrico Priola Torino (Italy) Joint work with G. Da Prato, F. Flandoli and M. Röckner Stochastic Processes

More information

Regularization by noise in infinite dimensions

Regularization by noise in infinite dimensions Regularization by noise in infinite dimensions Franco Flandoli, University of Pisa King s College 2017 Franco Flandoli, University of Pisa () Regularization by noise King s College 2017 1 / 33 Plan of

More information

Ergodic properties of highly degenerate 2D stochastic Navier-Stokes equations

Ergodic properties of highly degenerate 2D stochastic Navier-Stokes equations Ergodic properties of highly degenerate D stochastic Navier-Stokes equations Martin Hairer a Jonathan C. Mattingly b a Math Department, The University of Warwick, Coventry CV4 7AL, UK b Math Department,

More information

Exponential Mixing Properties of Stochastic PDEs Through Asymptotic Coupling

Exponential Mixing Properties of Stochastic PDEs Through Asymptotic Coupling Exponential Mixing Properties of Stochastic PDEs Through Asymptotic Coupling September 14 2001 M. Hairer Département de Physique Théorique Université de Genève 1211 Genève 4 Switzerland E-mail: Martin.Hairer@physics.unige.ch

More information

A NOTE ON STOCHASTIC INTEGRALS AS L 2 -CURVES

A NOTE ON STOCHASTIC INTEGRALS AS L 2 -CURVES A NOTE ON STOCHASTIC INTEGRALS AS L 2 -CURVES STEFAN TAPPE Abstract. In a work of van Gaans (25a) stochastic integrals are regarded as L 2 -curves. In Filipović and Tappe (28) we have shown the connection

More information

References

References References 1. S. Agmon. Lectures on Elliptic Boundary Value Problems, Mathematical Studies No. 2, Van Nostrand, Princeton (1965). 2. S. Albeverio and R. Hoegh-Krohn. Homogeneous random fields and statistical

More information

arxiv: v1 [math.pr] 1 May 2014

arxiv: v1 [math.pr] 1 May 2014 Submitted to the Brazilian Journal of Probability and Statistics A note on space-time Hölder regularity of mild solutions to stochastic Cauchy problems in L p -spaces arxiv:145.75v1 [math.pr] 1 May 214

More information

Observation and Control for Operator Semigroups

Observation and Control for Operator Semigroups Birkhäuser Advanced Texts Basler Lehrbücher Observation and Control for Operator Semigroups Bearbeitet von Marius Tucsnak, George Weiss Approx. 496 p. 2009. Buch. xi, 483 S. Hardcover ISBN 978 3 7643 8993

More information

Backward Stochastic Differential Equations with Infinite Time Horizon

Backward Stochastic Differential Equations with Infinite Time Horizon Backward Stochastic Differential Equations with Infinite Time Horizon Holger Metzler PhD advisor: Prof. G. Tessitore Università di Milano-Bicocca Spring School Stochastic Control in Finance Roscoff, March

More information

Kolmogorov equations for stochastic PDE s with multiplicative noise

Kolmogorov equations for stochastic PDE s with multiplicative noise Kolmogorov equations for stochastic PDE s with multiplicative noise Giuseppe Da Prato 1 Scuola Normale Superiore, Pisa, Italy 1 Introduction We are here concerned with the following stochastic differential

More information

On 2 d incompressible Euler equations with partial damping.

On 2 d incompressible Euler equations with partial damping. On 2 d incompressible Euler equations with partial damping. Wenqing Hu 1. (Joint work with Tarek Elgindi 2 and Vladimir Šverák 3.) 1. Department of Mathematics and Statistics, Missouri S&T. 2. Department

More information

Infinite-Dimensional Dynamical Systems in Mechanics and Physics

Infinite-Dimensional Dynamical Systems in Mechanics and Physics Roger Temam Infinite-Dimensional Dynamical Systems in Mechanics and Physics Second Edition With 13 Illustrations Springer Contents Preface to the Second Edition Preface to the First Edition vii ix GENERAL

More information

HI CAMBRIDGE n S P UNIVERSITY PRESS

HI CAMBRIDGE n S P UNIVERSITY PRESS Infinite-Dimensional Dynamical Systems An Introduction to Dissipative Parabolic PDEs and the Theory of Global Attractors JAMES C. ROBINSON University of Warwick HI CAMBRIDGE n S P UNIVERSITY PRESS Preface

More information

An Introduction to Probability Theory and Its Applications

An Introduction to Probability Theory and Its Applications An Introduction to Probability Theory and Its Applications WILLIAM FELLER (1906-1970) Eugene Higgins Professor of Mathematics Princeton University VOLUME II SECOND EDITION JOHN WILEY & SONS Contents I

More information

Weak Feller Property and Invariant Measures

Weak Feller Property and Invariant Measures Weak Feller Property and Invariant Measures Martin Ondreját, J. Seidler, Z. Brzeźniak Institute of Information Theory and Automation Academy of Sciences Prague September 11, 2012 Outline 2010: Stochastic

More information

Stochastic Shear Thickening Fluids: Strong Convergence of the Galerkin Approximation and the Energy Equality 1

Stochastic Shear Thickening Fluids: Strong Convergence of the Galerkin Approximation and the Energy Equality 1 Stochastic Shear Thickening Fluids: Strong Convergence of the Galerkin Approximation and the Energy Equality Nobuo Yoshida Contents The stochastic power law fluids. Terminology from hydrodynamics....................................

More information

Kolmogorov equations in Hilbert spaces IV

Kolmogorov equations in Hilbert spaces IV March 26, 2010 Other types of equations Let us consider the Burgers equation in = L 2 (0, 1) dx(t) = (AX(t) + b(x(t))dt + dw (t) X(0) = x, (19) where A = ξ 2, D(A) = 2 (0, 1) 0 1 (0, 1), b(x) = ξ 2 (x

More information

GENERIC SOLVABILITY FOR THE 3-D NAVIER-STOKES EQUATIONS WITH NONREGULAR FORCE

GENERIC SOLVABILITY FOR THE 3-D NAVIER-STOKES EQUATIONS WITH NONREGULAR FORCE Electronic Journal of Differential Equations, Vol. 2(2), No. 78, pp. 1 8. ISSN: 172-6691. UR: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) GENERIC SOVABIITY

More information

Recent developments in the Navier-Stokes problem

Recent developments in the Navier-Stokes problem P G Lemarie-Rieusset Recent developments in the Navier-Stokes problem CHAPMAN & HALL/CRC A CRC Press Company Boca Raton London New York Washington, D.C. Table of contents Introduction 1 Chapter 1: What

More information

Complex Analysis: A Round-Up

Complex Analysis: A Round-Up Complex Analysis: A Round-Up October 1, 2009 Sergey Lototsky, USC, Dept. of Math. *** 1 Prelude: Arnold s Principle Valdimir Igorevich Arnold (b. 1937): Russian The Arnold Principle. If a notion bears

More information

A scaling limit from Euler to Navier-Stokes equations with random perturbation

A scaling limit from Euler to Navier-Stokes equations with random perturbation A scaling limit from Euler to Navier-Stokes equations with random perturbation Franco Flandoli, Scuola Normale Superiore of Pisa Newton Institute, October 208 Newton Institute, October 208 / Subject of

More information

ME EN 3700: FLUID MECHANICS (Fall 2003)

ME EN 3700: FLUID MECHANICS (Fall 2003) ME EN 3700: FLUID MECHANICS (Fall 2003) Lecturer: Eric R. Pardyjak Lecture: MTWThF 7:30am - 8:20am Room 104 EMCB Office Hours: (9:00am - 10:30am M W F, Room 169 KEN Website: http://www.mech.utah.edu/~pardyjak/

More information

On the stochastic nonlinear Schrödinger equation

On the stochastic nonlinear Schrödinger equation On the stochastic nonlinear Schrödinger equation Annie Millet collaboration with Z. Brzezniak SAMM, Paris 1 and PMA Workshop Women in Applied Mathematics, Heraklion - May 3 211 Outline 1 The NL Shrödinger

More information

The Stable Manifold Theorem for Semilinear Stochastic Evolution Equations and Stochastic Partial Differential Equations

The Stable Manifold Theorem for Semilinear Stochastic Evolution Equations and Stochastic Partial Differential Equations Southern Illinois University Carbondale OpenSIUC Articles and Preprints Department of Mathematics 26 The Stable Manifold Theorem for Semilinear Stochastic Evolution Equations and Stochastic Partial Differential

More information

Numerical discretisations of stochastic wave equations

Numerical discretisations of stochastic wave equations Numerical discretisations of stochastic wave equations David Cohen Matematik och matematisk statistik \ UMIT Research Lab, Umeå universitet Institut für Mathematik, Universität Innsbruck Joint works with

More information

APPLIED FUNCTIONAL ANALYSIS

APPLIED FUNCTIONAL ANALYSIS APPLIED FUNCTIONAL ANALYSIS Second Edition JEAN-PIERRE AUBIN University of Paris-Dauphine Exercises by BERNARD CORNET and JEAN-MICHEL LASRY Translated by CAROLE LABROUSSE A Wiley-Interscience Publication

More information

Sinfonia. Professor Hong Guo 1

Sinfonia. Professor Hong Guo  1 Sinfonia Professor Hong Guo (hongguo@pku.edu.cn) IQE@EE.EECS.PKU CREAM@IQE.EE.EECS.PKU 1 CREAM@IQE.EE.EECS.PKU 2 CREAM@IQE.EE.EECS.PKU 3 CREAM@IQE.EE.EECS.PKU 4 CREAM@IQE.EE.EECS.PKU 5 CREAM@IQE.EE.EECS.PKU

More information

Infinite-dimensional methods for path-dependent stochastic differential equations

Infinite-dimensional methods for path-dependent stochastic differential equations UNIVERISTÀ DI PISA SCUOLA DI DOTTORATO IN SCIENZE DI BASE GALILEO GALILEI DOTTORATO IN MATEMATICA XXVII CICLO TESI DI DOTTORATO Infinite-dimensional methods for path-dependent stochastic differential equations

More information

Energy dissipation caused by boundary layer instability at vanishing viscosity

Energy dissipation caused by boundary layer instability at vanishing viscosity Energy dissipation caused by boundary layer instability at vanishing viscosity Marie Farge, Ecole Normale Supérieure, Paris Kai Schneider, Université d Aix-Marseille in collaboration with Romain Nguyen-Nouch

More information

LAPLACIANS COMPACT METRIC SPACES. Sponsoring. Jean BELLISSARD a. Collaboration:

LAPLACIANS COMPACT METRIC SPACES. Sponsoring. Jean BELLISSARD a. Collaboration: LAPLACIANS on Sponsoring COMPACT METRIC SPACES Jean BELLISSARD a Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics Collaboration: I. PALMER (Georgia Tech, Atlanta) a e-mail:

More information

Cores for generators of some Markov semigroups

Cores for generators of some Markov semigroups Cores for generators of some Markov semigroups Giuseppe Da Prato, Scuola Normale Superiore di Pisa, Italy and Michael Röckner Faculty of Mathematics, University of Bielefeld, Germany and Department of

More information

FUNCTIONAL ANALYSIS. iwiley- 'INTERSCIENCE. PETER D. LAX Courant Institute New York University A JOHN WILEY & SONS, INC.

FUNCTIONAL ANALYSIS. iwiley- 'INTERSCIENCE. PETER D. LAX Courant Institute New York University A JOHN WILEY & SONS, INC. FUNCTIONAL ANALYSIS PETER D. LAX Courant Institute New York University iwiley- 'INTERSCIENCE A JOHN WILEY & SONS, INC., PUBLICATION CONTENTS Foreword xvii 1. Linear Spaces 1 Axioms for linear spaces Infinite-dimensional

More information

STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY PROCESSES WITH INDEPENDENT INCREMENTS

STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY PROCESSES WITH INDEPENDENT INCREMENTS STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY PROCESSES WITH INDEPENDENT INCREMENTS DAMIR FILIPOVIĆ AND STEFAN TAPPE Abstract. This article considers infinite dimensional stochastic differential equations

More information

Introduction to Infinite Dimensional Stochastic Analysis

Introduction to Infinite Dimensional Stochastic Analysis Introduction to Infinite Dimensional Stochastic Analysis By Zhi yuan Huang Department of Mathematics, Huazhong University of Science and Technology, Wuhan P. R. China and Jia an Yan Institute of Applied

More information

LARGE DEVIATIONS FOR STOCHASTIC TAMED 3D NAVIER-STOKES EQUATIONS. (2) 0 g N (r) 2/(ν 1), r 0. {W k

LARGE DEVIATIONS FOR STOCHASTIC TAMED 3D NAVIER-STOKES EQUATIONS. (2) 0 g N (r) 2/(ν 1), r 0. {W k LAGE DEVIATIONS FO STOCHASTIC TAMED 3D NAVIE-STOKES EQUATIONS MICHAEL ÖCKNE, TUSHENG ZHANG, XICHENG ZHANG Abstract. In this paper, using weak convergence method, we prove a large deviation principle of

More information

Contents. 1 Preliminaries 3. Martingales

Contents. 1 Preliminaries 3. Martingales Table of Preface PART I THE FUNDAMENTAL PRINCIPLES page xv 1 Preliminaries 3 2 Martingales 9 2.1 Martingales and examples 9 2.2 Stopping times 12 2.3 The maximum inequality 13 2.4 Doob s inequality 14

More information

Paradigms of Probabilistic Modelling

Paradigms of Probabilistic Modelling Paradigms of Probabilistic Modelling Hermann G. Matthies Brunswick, Germany wire@tu-bs.de http://www.wire.tu-bs.de abstract RV-measure.tex,v 4.5 2017/07/06 01:56:46 hgm Exp Overview 2 1. Motivation challenges

More information

One dimensional Maps

One dimensional Maps Chapter 4 One dimensional Maps The ordinary differential equation studied in chapters 1-3 provide a close link to actual physical systems it is easy to believe these equations provide at least an approximate

More information

G 8243 Entropy and Information in Probability

G 8243 Entropy and Information in Probability G 8243 Entropy and Information in Probability I. Kontoyiannis Columbia University Spring 2009 What is Information Theory? Born in 1948, it is the mathematical foundation of communication theory; it quantifies

More information

Population Games and Evolutionary Dynamics

Population Games and Evolutionary Dynamics Population Games and Evolutionary Dynamics William H. Sandholm The MIT Press Cambridge, Massachusetts London, England in Brief Series Foreword Preface xvii xix 1 Introduction 1 1 Population Games 2 Population

More information

George G. Roussas University of California, Davis

George G. Roussas University of California, Davis AN INTRODUCTION TO MEASURE-THEORETIC PROBABILITY George G. Roussas University of California, Davis TABLE OF CONTENTS PREFACE xi CHAPTER I: Certain Classes of Sets, Measurability, and Pointwise Approximation

More information

Existence of Invariant Measures of Stochastic Systems with Delay in the Highest Order Partial Derivatives

Existence of Invariant Measures of Stochastic Systems with Delay in the Highest Order Partial Derivatives arxiv:142.2157v1 [math.pr] 1 Feb 214 Existence of Invariant Measures of Stochastic Systems with Delay in the Highest Order Partial Derivatives Kai Liu Department of Mathematical Sciences, School of Physical

More information

On the Work and Vision of Dmitry Dolgopyat

On the Work and Vision of Dmitry Dolgopyat On the Work and Vision of Dmitry Dolgopyat Carlangelo Liverani Penn State, 30 October 2009 1 I believe it is not controversial that the roots of Modern Dynamical Systems can be traced back to the work

More information

Evaluation of the HJM equation by cubature methods for SPDE

Evaluation of the HJM equation by cubature methods for SPDE Evaluation of the HJM equation by cubature methods for SPDEs TU Wien, Institute for mathematical methods in Economics Kyoto, September 2008 Motivation Arbitrage-free simulation of non-gaussian bond markets

More information

Classical and quantum Markov semigroups

Classical and quantum Markov semigroups Classical and quantum Markov semigroups Alexander Belton Department of Mathematics and Statistics Lancaster University United Kingdom http://www.maths.lancs.ac.uk/~belton/ a.belton@lancaster.ac.uk Young

More information

Dudley s representation theorem in infinite dimensions and weak characterizations of stochastic integrability

Dudley s representation theorem in infinite dimensions and weak characterizations of stochastic integrability Dudley s representation theorem in infinite dimensions and weak characterizations of stochastic integrability Mark Veraar Delft University of Technology London, March 31th, 214 Joint work with Martin Ondreját

More information

Course Description - Master in of Mathematics Comprehensive exam& Thesis Tracks

Course Description - Master in of Mathematics Comprehensive exam& Thesis Tracks Course Description - Master in of Mathematics Comprehensive exam& Thesis Tracks 1309701 Theory of ordinary differential equations Review of ODEs, existence and uniqueness of solutions for ODEs, existence

More information

i. Bonic R. and Frampton J., Differentiable functions on certain Banach spaces, Bull. Amer. Math. Soc. 71(1965),

i. Bonic R. and Frampton J., Differentiable functions on certain Banach spaces, Bull. Amer. Math. Soc. 71(1965), References i. Bonic R. and Frampton J., Differentiable functions on certain Banach spaces, Bull. Amer. Math. Soc. 71(1965), 393-395. 2. Cameron R. H. and Graves R., Additive functionals on a space of continuous

More information

MATH 5400, History of Mathematics

MATH 5400, History of Mathematics MATH 5400, History of Mathematics Lecture 10: 1900 Professor: Peter Gibson pcgibson@yorku.ca http://people.math.yorku.ca/pcgibson/math5400 February 16, 2017 In 1896 two mathematicians, working independently,

More information

WHITE NOISE APPROACH TO FEYNMAN INTEGRALS. Takeyuki Hida

WHITE NOISE APPROACH TO FEYNMAN INTEGRALS. Takeyuki Hida J. Korean Math. Soc. 38 (21), No. 2, pp. 275 281 WHITE NOISE APPROACH TO FEYNMAN INTEGRALS Takeyuki Hida Abstract. The trajectory of a classical dynamics is detrmined by the least action principle. As

More information

Convergence at first and second order of some approximations of stochastic integrals

Convergence at first and second order of some approximations of stochastic integrals Convergence at first and second order of some approximations of stochastic integrals Bérard Bergery Blandine, Vallois Pierre IECN, Nancy-Université, CNRS, INRIA, Boulevard des Aiguillettes B.P. 239 F-5456

More information

STATIONARY SOLUTIONS TO THE COMPRESSIBLE NAVIER-STOKES SYSTEM DRIVEN BY STOCHASTIC FORCES. 1. Introduction

STATIONARY SOLUTIONS TO THE COMPRESSIBLE NAVIER-STOKES SYSTEM DRIVEN BY STOCHASTIC FORCES. 1. Introduction SAIONARY SOLUIONS O HE COMPRESSIBLE NAVIER-SOKES SYSEM DRIVEN BY SOCHASIC FORCES DOMINIC BREI, EDUARD FEIREISL, MARINA HOFMANOVÁ, AND BOHDAN MASLOWSKI Abstract. We study the long-time behavior of solutions

More information

Introduction to Spectral Theory

Introduction to Spectral Theory P.D. Hislop I.M. Sigal Introduction to Spectral Theory With Applications to Schrodinger Operators Springer Introduction and Overview 1 1 The Spectrum of Linear Operators and Hilbert Spaces 9 1.1 TheSpectrum

More information

FEEDBACK STABILIZATION OF TWO DIMENSIONAL MAGNETOHYDRODYNAMIC EQUATIONS *

FEEDBACK STABILIZATION OF TWO DIMENSIONAL MAGNETOHYDRODYNAMIC EQUATIONS * ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I. CUZA DIN IAŞI (S.N.) MATEMATICĂ, Tomul LV, 2009, f.1 FEEDBACK STABILIZATION OF TWO DIMENSIONAL MAGNETOHYDRODYNAMIC EQUATIONS * BY CĂTĂLIN-GEORGE LEFTER Abstract.

More information

Stochastic Integral with respect to Cylindrical Wiener Process

Stochastic Integral with respect to Cylindrical Wiener Process arxiv:math/51151v1 [math.pr] 1 Nov 5 Stochastic Integral with respect to Cylindrical Wiener Process Anna Karczewska Institute of Mathematics, Maria Curie Sk lodowska University pl. M. Curie Sk lodowskiej

More information

Classes of Linear Operators Vol. I

Classes of Linear Operators Vol. I Classes of Linear Operators Vol. I Israel Gohberg Seymour Goldberg Marinus A. Kaashoek Birkhäuser Verlag Basel Boston Berlin TABLE OF CONTENTS VOLUME I Preface Table of Contents of Volume I Table of Contents

More information

EXPONENTIAL ERGODICITY FOR STOCHASTIC BURGERS AND 2D NAVIER-STOKES EQUATIONS

EXPONENTIAL ERGODICITY FOR STOCHASTIC BURGERS AND 2D NAVIER-STOKES EQUATIONS EXPONENTIAL ERGODICITY FOR STOCHASTIC BURGERS AND 2D NAVIER-STOKES EQUATIONS B. GOLDYS AND B. MASLOWSKI Abstract. It is shown that transition measures of the stochastic Navier-Stokes equation in 2D converge

More information

PROBABILITY: LIMIT THEOREMS II, SPRING HOMEWORK PROBLEMS

PROBABILITY: LIMIT THEOREMS II, SPRING HOMEWORK PROBLEMS PROBABILITY: LIMIT THEOREMS II, SPRING 15. HOMEWORK PROBLEMS PROF. YURI BAKHTIN Instructions. You are allowed to work on solutions in groups, but you are required to write up solutions on your own. Please

More information

The Lévy-Itô decomposition and the Lévy-Khintchine formula in31 themarch dual of 2014 a nuclear 1 space. / 20

The Lévy-Itô decomposition and the Lévy-Khintchine formula in31 themarch dual of 2014 a nuclear 1 space. / 20 The Lévy-Itô decomposition and the Lévy-Khintchine formula in the dual of a nuclear space. Christian Fonseca-Mora School of Mathematics and Statistics, University of Sheffield, UK Talk at "Stochastic Processes

More information

elettromagnetica Giovanni Romano 1 febbraio 2013 Accademia di Scienze Fisiche e Matematiche in Napoli Una teoria consistente dell induzione

elettromagnetica Giovanni Romano 1 febbraio 2013 Accademia di Scienze Fisiche e Matematiche in Napoli Una teoria consistente dell induzione Accademia di Scienze Fisiche e Matematiche in Napoli 1 febbraio 2013 ED=Electrodynamics and DG=Differential Geometry ED=Electrodynamics and DG=Differential Geometry ED is an important source of inspiration

More information

1 THE EVOLUTION OF EVOLUTIONARY EQUATIONS

1 THE EVOLUTION OF EVOLUTIONARY EQUATIONS 1 THE EVOLUTION OF EVOLUTIONARY EQUATIONS May you live in exciting times! This traditional Chinese saying aptly describes the environment surrounding the basic developments in mathematics, physics, and

More information

An Introduction to 3D Stochastic Fluid Dynamics

An Introduction to 3D Stochastic Fluid Dynamics An Introduction to 3D Stochastic Fluid Dynamics Franco Flandoli Dipartimento Matematica Applicata U. Dini, Università di Pisa, via Buonarroti 1, 56127, Pisa, Italy flandoli@dma.unipi.it 1 Introduction

More information

PROBABILITY: LIMIT THEOREMS II, SPRING HOMEWORK PROBLEMS

PROBABILITY: LIMIT THEOREMS II, SPRING HOMEWORK PROBLEMS PROBABILITY: LIMIT THEOREMS II, SPRING 218. HOMEWORK PROBLEMS PROF. YURI BAKHTIN Instructions. You are allowed to work on solutions in groups, but you are required to write up solutions on your own. Please

More information

SMSTC (2007/08) Probability.

SMSTC (2007/08) Probability. SMSTC (27/8) Probability www.smstc.ac.uk Contents 12 Markov chains in continuous time 12 1 12.1 Markov property and the Kolmogorov equations.................... 12 2 12.1.1 Finite state space.................................

More information

Mathematical Hydrodynamics

Mathematical Hydrodynamics Mathematical Hydrodynamics Ya G. Sinai 1. Introduction Mathematical hydrodynamics deals basically with Navier-Stokes and Euler systems. In the d-dimensional case and incompressible fluids these are the

More information

A Concise Course on Stochastic Partial Differential Equations

A Concise Course on Stochastic Partial Differential Equations A Concise Course on Stochastic Partial Differential Equations Michael Röckner Reference: C. Prevot, M. Röckner: Springer LN in Math. 1905, Berlin (2007) And see the references therein for the original

More information

S. Lototsky and B.L. Rozovskii Center for Applied Mathematical Sciences University of Southern California, Los Angeles, CA

S. Lototsky and B.L. Rozovskii Center for Applied Mathematical Sciences University of Southern California, Los Angeles, CA RECURSIVE MULTIPLE WIENER INTEGRAL EXPANSION FOR NONLINEAR FILTERING OF DIFFUSION PROCESSES Published in: J. A. Goldstein, N. E. Gretsky, and J. J. Uhl (editors), Stochastic Processes and Functional Analysis,

More information

Karhunen-Loève decomposition of Gaussian measures on Banach spaces

Karhunen-Loève decomposition of Gaussian measures on Banach spaces Karhunen-Loève decomposition of Gaussian measures on Banach spaces Jean-Charles Croix jean-charles.croix@emse.fr Génie Mathématique et Industriel (GMI) First workshop on Gaussian processes at Saint-Etienne

More information

Probability for Statistics and Machine Learning

Probability for Statistics and Machine Learning ~Springer Anirban DasGupta Probability for Statistics and Machine Learning Fundamentals and Advanced Topics Contents Suggested Courses with Diffe~ent Themes........................... xix 1 Review of Univariate

More information

Corollary A linear operator A is the generator of a C 0 (G(t)) t 0 satisfying G(t) e ωt if and only if (i) A is closed and D(A) = X;

Corollary A linear operator A is the generator of a C 0 (G(t)) t 0 satisfying G(t) e ωt if and only if (i) A is closed and D(A) = X; 2.2 Rudiments 71 Corollary 2.12. A linear operator A is the generator of a C 0 (G(t)) t 0 satisfying G(t) e ωt if and only if (i) A is closed and D(A) = X; (ii) ρ(a) (ω, ) and for such λ semigroup R(λ,

More information

The enigma of the equations of fluid motion: A survey of existence and regularity results

The enigma of the equations of fluid motion: A survey of existence and regularity results The enigma of the equations of fluid motion: A survey of existence and regularity results RTG summer school: Analysis, PDEs and Mathematical Physics The University of Texas at Austin Lecture 1 1 The review

More information

Conservative Control Systems Described by the Schrödinger Equation

Conservative Control Systems Described by the Schrödinger Equation Conservative Control Systems Described by the Schrödinger Equation Salah E. Rebiai Abstract An important subclass of well-posed linear systems is formed by the conservative systems. A conservative system

More information

Hypocoercivity and Sensitivity Analysis in Kinetic Equations and Uncertainty Quantification October 2 nd 5 th

Hypocoercivity and Sensitivity Analysis in Kinetic Equations and Uncertainty Quantification October 2 nd 5 th Hypocoercivity and Sensitivity Analysis in Kinetic Equations and Uncertainty Quantification October 2 nd 5 th Department of Mathematics, University of Wisconsin Madison Venue: van Vleck Hall 911 Monday,

More information

Lectures on the Orbit Method

Lectures on the Orbit Method Lectures on the Orbit Method A. A. Kirillov Graduate Studies in Mathematics Volume 64 American Mathematical Society Providence, Rhode Island Preface Introduction xv xvii Chapter 1. Geometry of Coadjoint

More information

CONFERENCE PROGRAM J. Prüss: On the quasi-geostrophic equations on compact surfaces in R 3.

CONFERENCE PROGRAM J. Prüss: On the quasi-geostrophic equations on compact surfaces in R 3. Differential Equations and Applications, Bologna May 22th-26th, 2017 1 CONFERENCE PROGRAM Monday, May 22th 14.00-14.15 Opening. 14.15-14.50 J. Prüss: On the quasi-geostrophic equations on compact surfaces

More information

Memoirs of My Research on Stochastic Analysis

Memoirs of My Research on Stochastic Analysis Memoirs of My Research on Stochastic Analysis Kiyosi Itô Professor Emeritus, Kyoto University, Kyoto, 606-8501 Japan It is with great honor that I learned of the 2005 Oslo Symposium on Stochastic Analysis

More information

msqm 2011/8/14 21:35 page 189 #197

msqm 2011/8/14 21:35 page 189 #197 msqm 2011/8/14 21:35 page 189 #197 Bibliography Dirac, P. A. M., The Principles of Quantum Mechanics, 4th Edition, (Oxford University Press, London, 1958). Feynman, R. P. and A. P. Hibbs, Quantum Mechanics

More information

Ergodic Theory. Constantine Caramanis. May 6, 1999

Ergodic Theory. Constantine Caramanis. May 6, 1999 Ergodic Theory Constantine Caramanis ay 6, 1999 1 Introduction Ergodic theory involves the study of transformations on measure spaces. Interchanging the words measurable function and probability density

More information

Strong Stabilization of the System of Linear Elasticity by a Dirichlet Boundary Feedback

Strong Stabilization of the System of Linear Elasticity by a Dirichlet Boundary Feedback To appear in IMA J. Appl. Math. Strong Stabilization of the System of Linear Elasticity by a Dirichlet Boundary Feedback Wei-Jiu Liu and Miroslav Krstić Department of AMES University of California at San

More information

Harnack Inequalities and Applications for Stochastic Equations

Harnack Inequalities and Applications for Stochastic Equations p. 1/32 Harnack Inequalities and Applications for Stochastic Equations PhD Thesis Defense Shun-Xiang Ouyang Under the Supervision of Prof. Michael Röckner & Prof. Feng-Yu Wang March 6, 29 p. 2/32 Outline

More information

Poisson configuration spaces, von Neumann algebras, and harmonic forms

Poisson configuration spaces, von Neumann algebras, and harmonic forms J. of Nonlinear Math. Phys. Volume 11, Supplement (2004), 179 184 Bialowieza XXI, XXII Poisson configuration spaces, von Neumann algebras, and harmonic forms Alexei DALETSKII School of Computing and Technology

More information

Some SDEs with distributional drift Part I : General calculus. Flandoli, Franco; Russo, Francesco; Wolf, Jochen

Some SDEs with distributional drift Part I : General calculus. Flandoli, Franco; Russo, Francesco; Wolf, Jochen Title Author(s) Some SDEs with distributional drift Part I : General calculus Flandoli, Franco; Russo, Francesco; Wolf, Jochen Citation Osaka Journal of Mathematics. 4() P.493-P.54 Issue Date 3-6 Text

More information

Fluid Mechanics. Contributors of Fluid Mechanics

Fluid Mechanics. Contributors of Fluid Mechanics Contributors of 1 ARCHIMEDES, 287 212 B.C. Archimedes of Syracuse was an Ancient Greek mathematician, physicist, engineer, inventor, and astronomer. Although few details of his life are known, he is regarded

More information

THE POINT SPECTRUM OF FROBENIUS-PERRON AND KOOPMAN OPERATORS

THE POINT SPECTRUM OF FROBENIUS-PERRON AND KOOPMAN OPERATORS PROCEEDINGS OF THE MERICN MTHEMTICL SOCIETY Volume 126, Number 5, May 1998, Pages 1355 1361 S 0002-9939(98)04188-4 THE POINT SPECTRUM OF FROBENIUS-PERRON ND KOOPMN OPERTORS J. DING (Communicated by Palle

More information

Nonlinear instability for the Navier-Stokes equations

Nonlinear instability for the Navier-Stokes equations Communications in Mathematical Physics manuscript No. (will be inserted by the editor) Nonlinear instability for the Navier-Stokes equations Susan Friedlander 1, Nataša Pavlović 2, Roman Shvydkoy 1 1 University

More information

Congratulations from LSTM - Erlangen

Congratulations from LSTM - Erlangen 1 Congratulations from LSTM - Erlangen Die Ära Zenger geht zu Ende Ein kurzer Rückblick aus der Sicht der Strömungsmechanik by Prof. Dr. Dr. h.c. F. Durst Institute of Fluid Mechanics University of Erlangen-Nürnberg

More information

EqWorld INDEX.

EqWorld INDEX. EqWorld http://eqworld.ipmnet.ru Exact Solutions > Basic Handbooks > A. D. Polyanin and V. F. Zaitsev, Handbook of Nonlinear Partial Differential Equations, Chapman & Hall/CRC, Boca Raton, 2004 INDEX A

More information

Finite element approximation of the stochastic heat equation with additive noise

Finite element approximation of the stochastic heat equation with additive noise p. 1/32 Finite element approximation of the stochastic heat equation with additive noise Stig Larsson p. 2/32 Outline Stochastic heat equation with additive noise du u dt = dw, x D, t > u =, x D, t > u()

More information

RIEMANNIAN GEOMETRY COMPACT METRIC SPACES. Jean BELLISSARD 1. Collaboration:

RIEMANNIAN GEOMETRY COMPACT METRIC SPACES. Jean BELLISSARD 1. Collaboration: RIEMANNIAN GEOMETRY of COMPACT METRIC SPACES Jean BELLISSARD 1 Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics Collaboration: I. PALMER (Georgia Tech, Atlanta) 1 e-mail:

More information

Solving Stochastic Partial Differential Equations as Stochastic Differential Equations in Infinite Dimensions - a Review

Solving Stochastic Partial Differential Equations as Stochastic Differential Equations in Infinite Dimensions - a Review Solving Stochastic Partial Differential Equations as Stochastic Differential Equations in Infinite Dimensions - a Review L. Gawarecki Kettering University NSF/CBMS Conference Analysis of Stochastic Partial

More information

Courses: Mathematics (MATH)College: Natural Sciences & Mathematics. Any TCCN equivalents are indicated in square brackets [ ].

Courses: Mathematics (MATH)College: Natural Sciences & Mathematics. Any TCCN equivalents are indicated in square brackets [ ]. Courses: Mathematics (MATH)College: Natural Sciences & Mathematics Any TCCN equivalents are indicated in square brackets [ ]. MATH 1300: Fundamentals of Mathematics Cr. 3. (3-0). A survey of precollege

More information

Some Tools From Stochastic Analysis

Some Tools From Stochastic Analysis W H I T E Some Tools From Stochastic Analysis J. Potthoff Lehrstuhl für Mathematik V Universität Mannheim email: potthoff@math.uni-mannheim.de url: http://ls5.math.uni-mannheim.de To close the file, click

More information

Contents. 2 Sequences and Series Approximation by Rational Numbers Sequences Basics on Sequences...

Contents. 2 Sequences and Series Approximation by Rational Numbers Sequences Basics on Sequences... Contents 1 Real Numbers: The Basics... 1 1.1 Notation... 1 1.2 Natural Numbers... 4 1.3 Integers... 5 1.4 Fractions and Rational Numbers... 10 1.4.1 Introduction... 10 1.4.2 Powers and Radicals of Rational

More information

The Dirichlet-to-Neumann operator

The Dirichlet-to-Neumann operator Lecture 8 The Dirichlet-to-Neumann operator The Dirichlet-to-Neumann operator plays an important role in the theory of inverse problems. In fact, from measurements of electrical currents at the surface

More information

From the microscopic to the macroscopic world. Kolloqium April 10, 2014 Ludwig-Maximilians-Universität München. Jean BRICMONT

From the microscopic to the macroscopic world. Kolloqium April 10, 2014 Ludwig-Maximilians-Universität München. Jean BRICMONT From the microscopic to the macroscopic world Kolloqium April 10, 2014 Ludwig-Maximilians-Universität München Jean BRICMONT Université Catholique de Louvain Can Irreversible macroscopic laws be deduced

More information

Probability Theory I: Syllabus and Exercise

Probability Theory I: Syllabus and Exercise Probability Theory I: Syllabus and Exercise Narn-Rueih Shieh **Copyright Reserved** This course is suitable for those who have taken Basic Probability; some knowledge of Real Analysis is recommended( will

More information

Performance Evaluation of Generalized Polynomial Chaos

Performance Evaluation of Generalized Polynomial Chaos Performance Evaluation of Generalized Polynomial Chaos Dongbin Xiu, Didier Lucor, C.-H. Su, and George Em Karniadakis 1 Division of Applied Mathematics, Brown University, Providence, RI 02912, USA, gk@dam.brown.edu

More information