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An Introduction to Fronts in Random Media 2009 Edition
Contributor(s): Xin, Jack (Author)

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ISBN: 0387876820     ISBN-13: 9780387876825
Publisher: Springer
OUR PRICE: $47.49  

Binding Type: Paperback - See All Available Formats & Editions
Published: July 2009
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Annotation: The aim of the book is to give a user friendly tutorial of an interdisciplinary research topic (fronts in random media) to senior undergraduates and beginning graduate students with basic knowledge of partial differential equations (PDE) and probability.

The approach taken is semi-formal, using elementary methods to introduce ideas and motivate results as much as possible, then outlining how to pursue rigorous theorems with details found in references of the bibliography. As the topic concerns both differential equations and probability, yet probability is traditionally a technical subject with heavy measure theoretical treatment, the book strives to develop a simplistic approach so students can grasp the essentials of fronts and random media and their applications in a self-contained tutorial.

The scope of the book goes from wave properties of scalar deterministic PDEs (Burgers, Hamilton-Jacobi, reaction-diffusion etc.) to the asymptotic analysis of their stochastic versions.

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Additional Information
BISAC Categories:
- Mathematics | Differential Equations - General
- Mathematics | Probability & Statistics - General
Dewey: 519.23
LCCN: 2009926482
Series: Surveys and Tutorials in the Applied Mathematical Sciences
Physical Information: 0.3" H x 6.1" W x 9.2" L (0.55 lbs) 172 pages
Features: Bibliography, Illustrated, Index, Table of Contents
 
Descriptions, Reviews, Etc.
Publisher Description:
This book aims to give a user friendly tutorial of an interdisciplinary research topic (fronts or interfaces in random media) to senior undergraduates and beginning grad uate students with basic knowledge of partial differential equations (PDE) and prob ability. The approach taken is semiformal, using elementary methods to introduce ideas and motivate results as much as possible, then outlining how to pursue rigor ous theorems, with details to be found in the references section. Since the topic concerns both differential equations and probability, and proba bility is traditionally a quite technical subject with a heavy measure theoretic com ponent, the book strives to develop a simplistic approach so that students can grasp the essentials of fronts and random media and their applications in a self contained tutorial. The book introduces three fundamental PDEs (the Burgers equation, Hamilton- Jacobi equations, and reaction-diffusion equations), analysis of their formulas and front solutions, and related stochastic processes. It builds up tools gradually, so that students are brought to the frontiers of research at a steady pace. A moderate number of exercises are provided to consolidate the concepts and ideas. The main methods are representation formulas of solutions, Laplace meth ods, homogenization, ergodic theory, central limit theorems, large deviation princi ples, variational principles, maximum principles, and Harnack inequalities, among others. These methods are normally covered in separate books on either differential equations or probability. It is my hope that this tutorial will help to illustrate how to combine these tools in solving concrete problems.
 
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