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Stochastic Partial Differential Equations Helge Holden

Stochastic Partial Differential Equations By Helge Holden

Stochastic Partial Differential Equations by Helge Holden


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Summary

This book is based on research that, to a large extent, started around 1990, when a research project on fluid flow in stochastic reservoirs was initiated by a group including some of us with the support of VISTA, a research coopera tion between the Norwegian Academy of Science and Letters and Den norske stats oljeselskap A.S.

Stochastic Partial Differential Equations Summary

Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach by Helge Holden

This book is based on research that, to a large extent, started around 1990, when a research project on fluid flow in stochastic reservoirs was initiated by a group including some of us with the support of VISTA, a research coopera tion between the Norwegian Academy of Science and Letters and Den norske stats oljeselskap A.S. (Statoil). The purpose of the project was to use stochastic partial differential equations (SPDEs) to describe the flow of fluid in a medium where some of the parameters, e.g., the permeability, were stochastic or noisy. We soon realized that the theory of SPDEs at the time was insufficient to handle such equations. Therefore it became our aim to develop a new mathematically rigorous theory that satisfied the following conditions. 1) The theory should be physically meaningful and realistic, and the corre sponding solutions should make sense physically and should be useful in applications. 2) The theory should be general enough to handle many of the interesting SPDEs that occur in reservoir theory and related areas. 3) The theory should be strong and efficient enough to allow us to solve th,~se SPDEs explicitly, or at least provide algorithms or approximations for the solutions.

Stochastic Partial Differential Equations Reviews

The authors have made significant contributions to each of the areas. As a whole, the book is well organized and very carefully written and the details of the proofs are basically spelled out... This is a rich and demanding book... It will be of great value for students of probability theory or SPDEs with an interest in the subject, and also for professional probabilists. -Mathematical Reviews

...a comprehensive introduction to stochastic partial differential equations. -Zentralblatt MATH

This book will be invaluable to anyone interested in doing research in white noise theory or in applying this theory to solving real-world problems. -Computing Reviews

Table of Contents

1. Introduction.- 1.1. Modeling by stochastic differential equations.- 2. Framework.- 2.1. White noise.- The 1-dimensional, d-parameter smoothed white noise.- The (smoothed) white noise vector.- 2.2. The Wiener-Ito chaos expansion.- Chaos expansion in terms of Hermite polynomials.- Chaos expansion in terms of multiple Ito integrals.- 2.3. Stochastic test functions and stochastic distributions.- The Kondratiev spaces (S)pm;N, (S)-pm;N.- The Hida test function space(S) and the Hida distribution space(S)*.- Singular white noise.- 2.4. The Wick product.- Son e examples and counterexamples.- 2.5. Wick multiplication and Ito/Skorohod integration.- 2.6. The Hermite transform.- Tht characterization theorem for(S)-1N.- Positive noise.- The positive noise matrix.- 2.7. The S)p,rN spaces and the S-transform.- The S-transform.- 2.8. The topology of (S)-1N.- Stochastic distribution processes.- 2.9. The F-transform and the Wick product on L1 (?).- Functional processes.- 2.10. The Wick product and translation.- 2.11. Positivity.- Exercises.- 3. Applications to stochastic ordinary differential equations.- 3.1. Linear equations.- Linear 1-dimensional equations.- Some remarks on numerical simulations.- Some linear multi-dimensional equations.- 3.2. A model for population growth in a crowded stochastic environment.- The general(S)-1 solution.- A solution in L1(?).- A comparison of Model A and Model B.- 3.3. A general existence and uniqueness theorem.- 3.4. The stochastic Volterra equation.- 3.5. Wick products versus ordinary products: A comparison experiment Variance properties.- 3.6. Solution and Wick approximation of quasilinear SDE.- Exercises.- 4. Stochastic partial differential equations.- 4.1. General remarks.- 4.2. The stochastic Poisson equation.- The functional process approach.- 4.3. The stochastic transport equation.- Pollution in a turbulent medium.- The heat equation with a stochastic potential.- 4.4. The stochastic Schroedinger equation.- L1 (?)-properties of the solution.- 4.5. The viscous Burgers' equation with a stochastic source.- 4.6. The stochastic pressure equation.- The smoothed positive noise case.- An inductive approximation procedure.- The 1-dimensional case.- The singular positive case.- 4.7. The heat equation in a stochastic, anisotropic medium.- 4.8. A class of quasilinear parabolic SPDEs.- 4.9. SPDEs driven by Poissonian noise.- Exercises.- Appendix A. The Bochner-Minlos theorem.- Appendix B. A brief review of Ito calculus.- The Ito formula.- Stochastic differential equations.- The Girsanov theorem.- Appendix C. Properties of Hermite polynomials.- Appendix D. Independence of bases in Wick products.- References.- List of frequently used notation and symbols.

Additional information

NLS9781468492170
9781468492170
1468492179
Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach by Helge Holden
New
Paperback
Birkhauser Boston Inc
2012-06-16
231
N/A
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