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Stochastic Analysis and Diffusion Processes

Autor: Gopinath Kallianpur

Limbă:

Legare: Copertă tare

Editura: Oxford University Press

Disponibilitate: La editor doar la comandă

Expediem în 17-26 zile

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Stochastic Analysis and Diffusion Processes presents a simple, mathematical introduction to Stochast...

Informații despre carte

Autor

Gopinath Kallianpur

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2014

Pagini

366

EAN

9780199657063

ISBN

0199657068

Enbook ID

02097188

Editura

Oxford University Press

Greutate

686

Dimensiuni

164 x 241 x 25

Descriere completă

Stochastic Analysis and Diffusion Processes presents a simple, mathematical introduction to Stochastic Calculus and its applications. The book builds the basic theory and offers a careful account of important research directions in Stochastic Analysis. The breadth and power of Stochastic Analysis, and probabilistic behavior of diffusion processes are told without compromising on the mathematical details. Starting with the construction of stochastic processes, the book introduces Brownian motion and martingales. The book proceeds to construct stochastic integrals, establish the Ito formula, and discuss its applications. Next, attention is focused on stochastic differential equations (SDEs) which arise in modeling physical phenomena, perturbed by random forces. Diffusion processes are solutions of SDEs and form the main theme of this book. The Stroock-Varadhan martingale problem, the connection between diffusion processes and partial differential equations, Gaussian solutions of SDEs, and Markov processes with jumps are presented in successive chapters. The book culminates with a careful treatment of important research topics such as invariant measures, ergodic behavior, and large deviation principle for diffusions. Examples are given throughout the book to illustrate concepts and results. In addition, exercises are given at the end of each chapter that will help the reader to understand the concepts better. The book is written for graduate students, young researchers and applied scientists who are interested in stochastic processes and their applications. The reader is assumed to be familiar with probability theory at graduate level. The book can be used as a text for a graduate course on Stochastic Analysis.

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