An Introduction to the Geometry of Stochastic Flows

An Introduction to the Geometry of Stochastic Flows PDF

Author: Fabrice Baudoin

Publisher: World Scientific

Published: 2004

Total Pages: 152

ISBN-13: 1860944817

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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

On the Geometry of Diffusion Operators and Stochastic Flows PDF

Author: K.D. Elworthy

Publisher: Springer

Published: 2007-01-05

Total Pages: 121

ISBN-13: 3540470220

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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

Stochastic Flows and Stochastic Differential Equations PDF

Author: Hiroshi Kunita

Publisher: Cambridge University Press

Published: 1990

Total Pages: 364

ISBN-13: 9780521599252

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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.

Constructing Nonhomeomorphic Stochastic Flows

Constructing Nonhomeomorphic Stochastic Flows PDF

Author: R. W. R. Darling

Publisher: American Mathematical Soc.

Published: 1987

Total Pages: 109

ISBN-13: 0821824392

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The purpose of this article is the construction of stochastic flows from the finite-dimensional distributions without any smoothness assumptions. Also examines the relation between covariance functions and finite-dimensional distributions. The stochastic continuity of stochastic flows in the time parameter are proved in each section. These results give some extensions of the results obtained by Harris, by Baxendale and Harris and by other authors. In particular, the author studies coalescing flows, which were introduced by Harris for the study of flows of nonsmooth maps.

Stochastic Flows in the Brownian Web and Net

Stochastic Flows in the Brownian Web and Net PDF

Author: Emmanuel Schertzer

Publisher: American Mathematical Soc.

Published: 2014-01-08

Total Pages: 172

ISBN-13: 0821890883

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It is known that certain one-dimensional nearest-neighbor random walks in i.i.d. random space-time environments have diffusive scaling limits. Here, in the continuum limit, the random environment is represented by a `stochastic flow of kernels', which is a collection of random kernels that can be loosely interpreted as the transition probabilities of a Markov process in a random environment. The theory of stochastic flows of kernels was first developed by Le Jan and Raimond, who showed that each such flow is characterized by its -point motions. The authors' work focuses on a class of stochastic flows of kernels with Brownian -point motions which, after their inventors, will be called Howitt-Warren flows. The authors' main result gives a graphical construction of general Howitt-Warren flows, where the underlying random environment takes on the form of a suitably marked Brownian web. This extends earlier work of Howitt and Warren who showed that a special case, the so-called "erosion flow", can be constructed from two coupled "sticky Brownian webs". The authors' construction for general Howitt-Warren flows is based on a Poisson marking procedure developed by Newman, Ravishankar and Schertzer for the Brownian web. Alternatively, the authors show that a special subclass of the Howitt-Warren flows can be constructed as random flows of mass in a Brownian net, introduced by Sun and Swart. Using these constructions, the authors prove some new results for the Howitt-Warren flows.

Stochastic Geometry

Stochastic Geometry PDF

Author: David Coupier

Publisher: Springer

Published: 2019-04-09

Total Pages: 232

ISBN-13: 3030135470

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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.

Séminaire de Probabilités XLII

Séminaire de Probabilités XLII PDF

Author: Catherine Donati-Martin

Publisher: Springer Science & Business Media

Published: 2009-06-29

Total Pages: 457

ISBN-13: 3642017622

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The tradition of specialized courses in the Séminaires de Probabilités is continued with A. Lejay's Another introduction to rough paths. Other topics from this 42nd volume range from the interface between analysis and probability to special processes, Lévy processes and Lévy systems, branching, penalization, representation of Gaussian processes, filtrations and quantum probability.

Stochastic Flows

Stochastic Flows PDF

Author: Andrey Dorogovtsev

Publisher: CRC Press

Published: 2014-10-15

Total Pages: 300

ISBN-13: 9781466587045

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A stochastic flow is a mathematical model used to simulate a system of interacting particles in random media. There have been many developments in methodology and applications in recent years, and this book synthesizes this research. The methods are important for applications, particularly in physics and engineering. The book also covers stochastic flows with singular interaction, which are not covered in great detail in other books.