Three Classes Of Nonlinear Stochastic Partial Differential Equations

Three Classes Of Nonlinear Stochastic Partial Differential Equations

by Jie Xiong
Three Classes Of Nonlinear Stochastic Partial Differential Equations

Three Classes Of Nonlinear Stochastic Partial Differential Equations

by Jie Xiong

Hardcover

$78.00 
  • SHIP THIS ITEM
    Qualifies for Free Shipping
  • PICK UP IN STORE
    Check Availability at Nearby Stores

Related collections and offers


Overview

The study of measure-valued processes in random environments has seen some intensive research activities in recent years whereby interesting nonlinear stochastic partial differential equations (SPDEs) were derived. Due to the nonlinearity and the non-Lipschitz continuity of their coefficients, new techniques and concepts have recently been developed for the study of such SPDEs. These include the conditional Laplace transform technique, the conditional mild solution, and the bridge between SPDEs and some kind of backward stochastic differential equations. This volume provides an introduction to these topics with the aim of attracting more researchers into this exciting and young area of research. It can be considered as the first book of its kind. The tools introduced and developed for the study of measure-valued processes in random environments can be used in a much broader area of nonlinear SPDEs.

Product Details

ISBN-13: 9789814452359
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 06/28/2013
Pages: 176
Product dimensions: 6.00(w) x 9.00(h) x 0.70(d)

Table of Contents

Preface vii

1 Introduction to Superprocesses 1

1.1 Branching particle system 1

1.2 The log-Laplace equation 7

1.3 The moment duality 8

1.4 The SPDE for the density 13

1.5 The SPDE for the distribution 21

1.6 Historical remarks 22

2 Superprocesses in Random Environments 25

2.1 Introduction and main result 25

2.2 The moment duality 28

2.3 Conditional martingale problem 30

2.4 Historical remarks 33

3 Linear SPDE 35

3.1 An equation on measure space 35

3.2 A duality representation 44

3.3 Two estimates 53

3.4 Historical remarks 64

4 Particle Representations for a Class of Nonlinear SPDEs 65

4.1 Introduction 65

4.2 Solution for the system 67

4.3 A nonlinear SPDE 79

4.4 Historical remarks 80

5 Stochastic Log-Laplace Equation 83

5.1 Introduction 83

5.2 Approximation and two estimates 85

5.3 Existence and uniqueness 93

5.4 Conditional log-Laplace transform 96

5.5 Historical remarks 104

6 SPDEs for Density Fields of the Superprocesses in Random Environment 105

6.1 Introduction 105

6.2 Derivation of SPDE 108

6.3 A convolution representation 111

6.4 An estimate in spatial increment 114

6.5 Estimates in time increment 116

6.6 Historical remarks 124

7 Backward Doubly Stochastic Differential Equations 125

7.1 Introduction and basic definitions 125

7.2 Itô-Pardoux-Peng formula 126

7.3 Uniqueness of solution 128

7.4 Historical remarks 130

8 From SPDE to BSDE 131

8.1 The SPDE for the distribution 131

8.2 Existence of solution to SPDE 135

8.3 From BSDE to SPDE 141

8.4 Uniqueness for SPDE 143

8.5 Historical remarks 147

Appendix: Some Auxiliary Results 149

A.1 Martingale representation theorems 149

A.2 Weak convergence 154

A.3 Relation among strong existence, weak existence and path-wise uniqueness 155

Bibliography 157

Index 163

From the B&N Reads Blog

Customer Reviews