Spatial Branching Processes, Random Snakes and Partial Differential Equations

Spatial Branching Processes, Random Snakes and Partial Differential Equations PDF

Author: Jean-Francois Le Gall

Publisher: Birkhäuser

Published: 2012-12-06

Total Pages: 170

ISBN-13: 3034886837

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This book introduces several remarkable new probabilistic objects that combine spatial motion with a continuous branching phenomenon and are closely related to certain semilinear partial differential equations (PDE). The Brownian snake approach is used to give a powerful representation of superprocesses and also to investigate connections between superprocesses and PDEs. These are notable because almost every important probabilistic question corresponds to a significant analytic problem.

Spatial Branching Processes, Random Snakes, and Partial Differential Equations

Spatial Branching Processes, Random Snakes, and Partial Differential Equations PDF

Author: Jean-François Le Gall

Publisher: Birkhauser

Published: 1999-01-01

Total Pages: 162

ISBN-13: 9780817661267

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This book introduces several remarkable new probabilistic objects that combine spatial motion with a continuous branching phenomenon and are closely related to certain semilinear partial differential equations (PDE). The Brownian snake approach is used to give a powerful representation of super processes and also to investigate connections between super processes and PDEs. These are notable because almost every important probabilistic question corresponds to a significant analytic problem.

A Minicourse on Stochastic Partial Differential Equations

A Minicourse on Stochastic Partial Differential Equations PDF

Author: Robert C. Dalang

Publisher: Springer Science & Business Media

Published: 2009

Total Pages: 230

ISBN-13: 3540859934

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This title contains lectures that offer an introduction to modern topics in stochastic partial differential equations and bring together experts whose research is centered on the interface between Gaussian analysis, stochastic analysis, and stochastic PDEs.

Three Classes of Nonlinear Stochastic Partial Differential Equations

Three Classes of Nonlinear Stochastic Partial Differential Equations PDF

Author: Jie Xiong

Publisher: World Scientific

Published: 2013

Total Pages: 177

ISBN-13: 981445236X

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The study of measure-valued processes in random environments has seen some intensive research activities in recent years whereby interesting nonlinear stochastic partial differential equations (SPDEs) were derived. Due to the nonlinearity and the non-Lipschitz continuity of their coefficients, new techniques and concepts have recently been developed for the study of such SPDEs. These include the conditional Laplace transform technique, the conditional mild solution, and the bridge between SPDEs and some kind of backward stochastic differential equations. This volume provides an introduction to these topics with the aim of attracting more researchers into this exciting and young area of research. It can be considered as the first book of its kind. The tools introduced and developed for the study of measure-valued processes in random environments can be used in a much broader area of nonlinear SPDEs.

Measure-Valued Branching Markov Processes

Measure-Valued Branching Markov Processes PDF

Author: Zenghu Li

Publisher: Springer Nature

Published: 2023-04-14

Total Pages: 481

ISBN-13: 3662669102

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This book provides a compact introduction to the theory of measure-valued branching processes, immigration processes and Ornstein–Uhlenbeck type processes. Measure-valued branching processes arise as high density limits of branching particle systems. The first part of the book gives an analytic construction of a special class of such processes, the Dawson–Watanabe superprocesses, which includes the finite-dimensional continuous-state branching process as an example. Under natural assumptions, it is shown that the superprocesses have Borel right realizations. Transformations are then used to derive the existence and regularity of several different forms of the superprocesses. This technique simplifies the constructions and gives useful new perspectives. Martingale problems of superprocesses are discussed under Feller type assumptions. The second part investigates immigration structures associated with the measure-valued branching processes. The structures are formulated by skew convolution semigroups, which are characterized in terms of infinitely divisible probability entrance laws. A theory of stochastic equations for one-dimensional continuous-state branching processes with or without immigration is developed, which plays a key role in the construction of measure flows of those processes. The third part of the book studies a class of Ornstein-Uhlenbeck type processes in Hilbert spaces defined by generalized Mehler semigroups, which arise naturally in fluctuation limit theorems of the immigration superprocesses. This volume is aimed at researchers in measure-valued processes, branching processes, stochastic analysis, biological and genetic models, and graduate students in probability theory and stochastic processes.

Probabilistic Models of Population Evolution

Probabilistic Models of Population Evolution PDF

Author: Étienne Pardoux

Publisher: Springer

Published: 2016-06-17

Total Pages: 125

ISBN-13: 3319303287

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This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications. Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud.

Superdiffusions and Positive Solutions of Nonlinear Partial Differential Equations

Superdiffusions and Positive Solutions of Nonlinear Partial Differential Equations PDF

Author: Evgeniĭ Borisovich Dynkin

Publisher: American Mathematical Soc.

Published: 2004

Total Pages: 130

ISBN-13: 082183682X

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This book is devoted to the applications of probability theory to the theory of nonlinear partial differential equations. More precisely, it is shown that all positive solutions for a class of nonlinear elliptic equations in a domain are described in terms of their traces on the boundary of the domain. The main probabilistic tool is the theory of superdiffusions, which describes a random evolution of a cloud of particles. A substantial enhancement of this theory is presented that will be of interest to anyone who works on applications of probabilistic methods to mathematical analysis. The book is suitable for graduate students and research mathematicians interested in probability theory and its applications to differential equations. Also of interest by this author is Diffusions, Superdiffusions and Partial Differential Equations in the AMS series, Colloquium Publications.

Surveys in Stochastic Processes

Surveys in Stochastic Processes PDF

Author: Jochen Blath

Publisher: European Mathematical Society

Published: 2011

Total Pages: 270

ISBN-13: 9783037190722

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The 33rd Bernoulli Society Conference on Stochastic Processes and Their Applications was held in Berlin from July 27 to July 31, 2009. It brought together more than 600 researchers from 49 countries to discuss recent progress in the mathematical research related to stochastic processes, with applications ranging from biology to statistical mechanics, finance and climatology. This book collects survey articles highlighting new trends and focal points in the area written by plenary speakers of the conference, all of them outstanding international experts. A particular aim of this collection is to inspire young scientists to pursue research goals in the wide range of fields represented in this volume.

Spatial Branching In Random Environments And With Interaction

Spatial Branching In Random Environments And With Interaction PDF

Author: Englander Janos

Publisher: World Scientific

Published: 2014-11-20

Total Pages: 288

ISBN-13: 9814569852

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This unique volume discusses some recent developments in the theory of spatial branching processes and superprocesses, with special emphasis on spines, Laws of Large Numbers, interactions and random media.Although this book is mainly written for mathematicians, the models discussed are relevant to certain models in population biology, and are thus hopefully interesting to the applied mathematician/biologist as well.The necessary background material in probability and analysis is provided in a comprehensive introductory chapter. Historical notes and several exercises are provided to complement each chapter.

Combinatorial Stochastic Processes

Combinatorial Stochastic Processes PDF

Author: Jim Pitman

Publisher: Springer

Published: 2006-07-21

Total Pages: 257

ISBN-13: 3540342664

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The purpose of this text is to bring graduate students specializing in probability theory to current research topics at the interface of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations, trees, forests, and mappings, and connections between the asymptotic theory of enumeration of such structures and the theory of stochastic processes like Brownian motion and Poisson processes.