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An Introduction to the Geometry of Stochastic Flows

2004 Mathematics
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Release : 2004
Genre : Mathematics
Kind : eBook
Book Rating : 817/5 ( reviews)

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Book Synopsis An Introduction to the Geometry of Stochastic Flows by : Fabrice Baudoin

Download or read book An Introduction to the Geometry of Stochastic Flows written by Fabrice Baudoin. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a self-contained introduction to the local geometry of the stochastic flows associated with stochastic differential equations. It stresses the view that the local geometry of any stochastic flow is determined very precisely and explicitly by a universal formula referred to as the Chen-Strichartz formula. The natural geometry associated with the Chen-Strichartz formula is the sub-Riemannian geometry whose main tools are introduced throughout the text. By using the connection between stochastic flows and partial differential equations, we apply this point of view of the study of hypoelliptic operators written in Hormander's form.

On the Geometry of Diffusion Operators and Stochastic Flows

2007-01-05 Mathematics
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Release : 2007-01-05
Genre : Mathematics
Kind : eBook
Book Rating : 220/5 ( reviews)

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Book Synopsis On the Geometry of Diffusion Operators and Stochastic Flows by : K.D. Elworthy

Download or read book On the Geometry of Diffusion Operators and Stochastic Flows written by K.D. Elworthy. This book was released on 2007-01-05. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic differential equations, and Hoermander form representations of diffusion operators, can determine a linear connection associated to the underlying (sub)-Riemannian structure. This is systematically described, together with its invariants, and then exploited to discuss qualitative properties of stochastic flows, and analysis on path spaces of compact manifolds with diffusion measures. This should be useful to stochastic analysts, especially those with interests in stochastic flows, infinite dimensional analysis, or geometric analysis, and also to researchers in sub-Riemannian geometry. A basic background in differential geometry is assumed, but the construction of the connections is very direct and itself gives an intuitive and concrete introduction. Knowledge of stochastic analysis is also assumed for later chapters.

Stochastic Flows and Stochastic Differential Equations

1990 Mathematics
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Release : 1990
Genre : Mathematics
Kind : eBook
Book Rating : 252/5 ( reviews)

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Book Synopsis Stochastic Flows and Stochastic Differential Equations by : Hiroshi Kunita

Download or read book Stochastic Flows and Stochastic Differential Equations written by Hiroshi Kunita. This book was released on 1990. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this book is to give a systematic treatment of the theory of stochastic differential equations and stochastic flow of diffeomorphisms, and through the former to study the properties of stochastic flows.The classical theory was initiated by K. Itô and since then has been much developed. Professor Kunita's approach here is to regard the stochastic differential equation as a dynamical system driven by a random vector field, including thereby Itô's theory as a special case. The book can be used with advanced courses on probability theory or for self-study.

Measure-valued Processes and Stochastic Flows

2023-11-06 Mathematics
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Release : 2023-11-06
Genre : Mathematics
Kind : eBook
Book Rating : 515/5 ( reviews)

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Book Synopsis Measure-valued Processes and Stochastic Flows by : Andrey A. Dorogovtsev

Download or read book Measure-valued Processes and Stochastic Flows written by Andrey A. Dorogovtsev. This book was released on 2023-11-06. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Geometry

2019-04-09 Mathematics
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Release : 2019-04-09
Genre : Mathematics
Kind : eBook
Book Rating : 470/5 ( reviews)

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Book Synopsis Stochastic Geometry by : David Coupier

Download or read book Stochastic Geometry written by David Coupier. This book was released on 2019-04-09. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes. Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.

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