Stochastic Partial Differential Equations, Second Edition

Stochastic Partial Differential Equations, Second Edition
Author :
Publisher : CRC Press
Total Pages : 336
Release :
ISBN-10 : 9781466579552
ISBN-13 : 1466579552
Rating : 4/5 (552 Downloads)

Book Synopsis Stochastic Partial Differential Equations, Second Edition by : Pao-Liu Chow

Download or read book Stochastic Partial Differential Equations, Second Edition written by Pao-Liu Chow and published by CRC Press. This book was released on 2014-12-10 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Theory and Techniques to Solve Physical, Biological, and Financial Problems Since the first edition was published, there has been a surge of interest in stochastic partial differential equations (PDEs) driven by the Lévy type of noise. Stochastic Partial Differential Equations, Second Edition incorporates these recent developments and improves the presentation of material. New to the Second Edition Two sections on the Lévy type of stochastic integrals and the related stochastic differential equations in finite dimensions Discussions of Poisson random fields and related stochastic integrals, the solution of a stochastic heat equation with Poisson noise, and mild solutions to linear and nonlinear parabolic equations with Poisson noises Two sections on linear and semilinear wave equations driven by the Poisson type of noises Treatment of the Poisson stochastic integral in a Hilbert space and mild solutions of stochastic evolutions with Poisson noises Revised proofs and new theorems, such as explosive solutions of stochastic reaction diffusion equations Additional applications of stochastic PDEs to population biology and finance Updated section on parabolic equations and related elliptic problems in Gauss–Sobolev spaces The book covers basic theory as well as computational and analytical techniques to solve physical, biological, and financial problems. It first presents classical concrete problems before proceeding to a unified theory of stochastic evolution equations and describing applications, such as turbulence in fluid dynamics, a spatial population growth model in a random environment, and a stochastic model in bond market theory. The author also explores the connection of stochastic PDEs to infinite-dimensional stochastic analysis.


Stochastic Partial Differential Equations, Second Edition Related Books

Stochastic Partial Differential Equations, Second Edition
Language: en
Pages: 336
Authors: Pao-Liu Chow
Categories: Mathematics
Type: BOOK - Published: 2014-12-10 - Publisher: CRC Press

GET EBOOK

Explore Theory and Techniques to Solve Physical, Biological, and Financial Problems Since the first edition was published, there has been a surge of interest in
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Language: en
Pages: 284
Authors: Elias T. Krainski
Categories: Mathematics
Type: BOOK - Published: 2018-12-07 - Publisher: CRC Press

GET EBOOK

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochast
Harnack Inequalities for Stochastic Partial Differential Equations
Language: en
Pages: 135
Authors: Feng-Yu Wang
Categories: Mathematics
Type: BOOK - Published: 2013-08-13 - Publisher: Springer Science & Business Media

GET EBOOK

​In this book the author presents a self-contained account of Harnack inequalities and applications for the semigroup of solutions to stochastic partial and d
Partial Differential Equations
Language: en
Pages: 665
Authors: Mark S. Gockenbach
Categories: Mathematics
Type: BOOK - Published: 2010-12-02 - Publisher: SIAM

GET EBOOK

A fresh, forward-looking undergraduate textbook that treats the finite element method and classical Fourier series method with equal emphasis.
Stochastic Numerics for Mathematical Physics
Language: en
Pages: 754
Authors: Grigori N. Milstein
Categories: Computers
Type: BOOK - Published: 2021-12-03 - Publisher: Springer Nature

GET EBOOK

This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. Th