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Continuous Parameter Markov Processes and Stochastic Differential Equations

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Release : 2023-11-16
Genre : Mathematics
Kind : eBook
Book Rating : 962/5 ( reviews)

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Book Synopsis Continuous Parameter Markov Processes and Stochastic Differential Equations by : Rabi Bhattacharya

Download or read book Continuous Parameter Markov Processes and Stochastic Differential Equations written by Rabi Bhattacharya. This book was released on 2023-11-16. Available in PDF, EPUB and Kindle. Book excerpt: This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its applications. The authors focus on developing context and intuition before formalizing the theory of each topic, illustrated with examples. After a review of some background material, the reader is introduced to semigroup theory, including the Hille–Yosida Theorem, used to construct continuous parameter Markov processes. Illustrated with examples, it is a cornerstone of Feller’s seminal theory of the most general one-dimensional diffusions studied in a later chapter. This is followed by two chapters with probabilistic constructions of jump Markov processes, and processes with independent increments, or Lévy processes. The greater part of the book is devoted to Itô’s fascinating theory of stochastic differential equations, and to the study of asymptotic properties of diffusions in all dimensions, such as explosion, transience, recurrence, existence of steady states, and the speed of convergence to equilibrium. A broadly applicable functional central limit theorem for ergodic Markov processes is presented with important examples. Intimate connections between diffusions and linear second order elliptic and parabolic partial differential equations are laid out in two chapters, and are used for computational purposes. Among Special Topics chapters, two study anomalous diffusions: one on skew Brownian motion, and the other on an intriguing multi-phase homogenization of solute transport in porous media.

Topics in Stochastic Processes

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Release : 2014-06-20
Genre : Mathematics
Kind : eBook
Book Rating : 435/5 ( reviews)

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Book Synopsis Topics in Stochastic Processes by : Robert B. Ash

Download or read book Topics in Stochastic Processes written by Robert B. Ash. This book was released on 2014-06-20. Available in PDF, EPUB and Kindle. Book excerpt: Topics in Stochastic Processes covers specific processes that have a definite physical interpretation and that explicit numerical results can be obtained. This book contains five chapters and begins with the L2 stochastic processes and the concept of prediction theory. The next chapter discusses the principles of ergodic theorem to real analysis, Markov chains, and information theory. Another chapter deals with the sample function behavior of continuous parameter processes. This chapter also explores the general properties of Martingales and Markov processes, as well as the one-dimensional Brownian motion. The aim of this chapter is to illustrate those concepts and constructions that are basic in any discussion of continuous parameter processes, and to provide insights to more advanced material on Markov processes and potential theory. The final chapter demonstrates the use of theory of continuous parameter processes to develop the Itô stochastic integral. This chapter also provides the solution of stochastic differential equations. This book will be of great value to mathematicians, engineers, and physicists.

Markov Processes and Differential Equations

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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 911/5 ( reviews)

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Book Synopsis Markov Processes and Differential Equations by : Mark I. Freidlin

Download or read book Markov Processes and Differential Equations written by Mark I. Freidlin. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations.

Applied Stochastic Differential Equations

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Release : 2019-05-02
Genre : Business & Economics
Kind : eBook
Book Rating : 085/5 ( reviews)

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Book Synopsis Applied Stochastic Differential Equations by : Simo Särkkä

Download or read book Applied Stochastic Differential Equations written by Simo Särkkä. This book was released on 2019-05-02. Available in PDF, EPUB and Kindle. Book excerpt: With this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.

An Introduction to Continuous-Time Stochastic Processes

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Release : 2012-07-27
Genre : Mathematics
Kind : eBook
Book Rating : 461/5 ( reviews)

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Book Synopsis An Introduction to Continuous-Time Stochastic Processes by : Vincenzo Capasso

Download or read book An Introduction to Continuous-Time Stochastic Processes written by Vincenzo Capasso. This book was released on 2012-07-27. Available in PDF, EPUB and Kindle. Book excerpt: Expanding on the first edition of An Introduction to Continuous-Time Stochastic Processes, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required.

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