Lectures on Random Evolution

Lectures on Random Evolution PDF Author: Mark A. Pinsky
Publisher: World Scientific
ISBN: 9789810205591
Category : Science
Languages : en
Pages : 158

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Book Description
Random evolution denotes a class of stochastic processes which evolve according to a rule which varies in time according to jumps. This is in contrast to diffusion processes, which assume that the rule changes continuously with time. Random evolutions provide a very flexible language, having the advantage that they permit direct numerical simulation-which is not possible for a diffusion process. Furthermore, they allow connections with hyperbolic partial differential equations and the kinetic theory of gases, which is impossible within the domain of diffusion proceses. They also posses great geometric invariance, allowing formulation on an arbitrary Riemannian manifold. In the field of stochastic stability, random evolutions furnish some easily computable models in which to study the Lyapunov exponent and rotation numbers of oscillators under the influence of noise. This monograph presents the various aspects of random evolution in an accessible and interesting format which will appeal to a large scientific audience.

Evolution of Biological Systems in Random Media: Limit Theorems and Stability

Evolution of Biological Systems in Random Media: Limit Theorems and Stability PDF Author: Anatoly Swishchuk
Publisher: Springer Science & Business Media
ISBN: 9401715068
Category : Mathematics
Languages : en
Pages : 218

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Book Description
This is a new book in biomathematics, which includes new models of stochastic non-linear biological systems and new results for these systems. These results are based on the new results for non-linear difference and differential equations in random media. This book contains: -New stochastic non-linear models of biological systems, such as biological systems in random media: epidemic, genetic selection, demography, branching, logistic growth and predator-prey models; -New results for scalar and vector difference equations in random media with applications to the stochastic biological systems in 1); -New results for stochastic non-linear biological systems, such as averaging, merging, diffusion approximation, normal deviations and stability; -New approach to the study of stochastic biological systems in random media such as random evolution approach.

A Modern Approach to Probability Theory

A Modern Approach to Probability Theory PDF Author: Bert E. Fristedt
Publisher: Springer Science & Business Media
ISBN: 1489928375
Category : Mathematics
Languages : en
Pages : 775

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Book Description
Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background and techniques to go from the beginning graduate level to the point of specialization in research areas of current interest. The book is designed for a two- or three-semester course, assuming only courses in undergraduate real analysis or rigorous advanced calculus, and some elementary linear algebra. A variety of applications—Bayesian statistics, financial mathematics, information theory, tomography, and signal processing—appear as threads to both enhance the understanding of the relevant mathematics and motivate students whose main interests are outside of pure areas.

Large Deviations for Stochastic Processes

Large Deviations for Stochastic Processes PDF Author: Jin Feng
Publisher: American Mathematical Soc.
ISBN: 1470418703
Category : Large deviations
Languages : en
Pages : 426

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Book Description
The book is devoted to the results on large deviations for a class of stochastic processes. Following an introduction and overview, the material is presented in three parts. Part 1 gives necessary and sufficient conditions for exponential tightness that are analogous to conditions for tightness in the theory of weak convergence. Part 2 focuses on Markov processes in metric spaces. For a sequence of such processes, convergence of Fleming's logarithmically transformed nonlinear semigroups is shown to imply the large deviation principle in a manner analogous to the use of convergence of linear semigroups in weak convergence. Viscosity solution methods provide applicable conditions for the necessary convergence. Part 3 discusses methods for verifying the comparison principle for viscosity solutions and applies the general theory to obtain a variety of new and known results on large deviations for Markov processes. In examples concerning infinite dimensional state spaces, new comparison principles are derived for a class of Hamilton-Jacobi equations in Hilbert spaces and in spaces of probability measures.

Lectures on the Combinatorics of Free Probability

Lectures on the Combinatorics of Free Probability PDF Author: Alexandru Nica
Publisher: Cambridge University Press
ISBN: 0521858526
Category : Mathematics
Languages : en
Pages : 430

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Book Description
This 2006 book is a self-contained introduction to free probability theory suitable for an introductory graduate level course.

Nonlinear Dynamics and Stochastic Mechanics

Nonlinear Dynamics and Stochastic Mechanics PDF Author: Wolfgang Kliemann
Publisher: CRC Press
ISBN: 1351091956
Category : Mathematics
Languages : en
Pages : 302

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Book Description
Engineering systems have played a crucial role in stimulating many of the modern developments in nonlinear and stochastic dynamics. After 20 years of rapid progress in these areas, this book provides an overview of the current state of nonlinear modeling and analysis for mechanical and structural systems. This volume is a coherent compendium written by leading experts from the United States, Canada, Western and Eastern Europe, and Australia. The 22 articles describe the background, recent developments, applications, and future directions in bifurcation theory, chaos, perturbation methods, stochastic stability, stochastic flows, random vibrations, reliability, disordered systems, earthquake engineering, and numerics. The book gives readers a sophisticated toolbox that will allow them to tackle modeling problems in mechanical systems that use stochastic and nonlinear dynamics ideas. An extensive bibliography and index ensure this volume will remain a reference standard for years to come.

Lectures in Astrobiology

Lectures in Astrobiology PDF Author: Muriel Gargaud
Publisher: Springer Science & Business Media
ISBN: 3540262296
Category : Science
Languages : en
Pages : 798

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Book Description
First comprehensive, beginning graduate level book on the emergent science of astrobiology.

Introduction to Random Graphs

Introduction to Random Graphs PDF Author: Alan Frieze
Publisher: Cambridge University Press
ISBN: 1107118506
Category : Mathematics
Languages : en
Pages : 483

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Book Description
The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.

Random Motions in Markov and Semi-Markov Random Environments 2

Random Motions in Markov and Semi-Markov Random Environments 2 PDF Author: Anatoliy Pogorui
Publisher: John Wiley & Sons
ISBN: 1119808170
Category : Mathematics
Languages : en
Pages : 224

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Book Description
This book is the second of two volumes on random motions in Markov and semi-Markov random environments. This second volume focuses on high-dimensional random motions. This volume consists of two parts. The first expands many of the results found in Volume 1 to higher dimensions. It presents new results on the random motion of the realistic three-dimensional case, which has so far been barely mentioned in the literature, and deals with the interaction of particles in Markov and semi-Markov media, which has, in contrast, been a topic of intense study. The second part contains applications of Markov and semi-Markov motions in mathematical finance. It includes applications of telegraph processes in modeling stock price dynamics and investigates the pricing of variance, volatility, covariance and correlation swaps with Markov volatility and the same pricing swaps with semi-Markov volatilities.

Multiscale Methods

Multiscale Methods PDF Author: Grigoris Pavliotis
Publisher: Springer Science & Business Media
ISBN: 0387738290
Category : Mathematics
Languages : en
Pages : 314

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Book Description
This introduction to multiscale methods gives you a broad overview of the methods’ many uses and applications. The book begins by setting the theoretical foundations of the methods and then moves on to develop models and prove theorems. Extensive use of examples shows how to apply multiscale methods to solving a variety of problems. Exercises then enable you to build your own skills and put them into practice. Extensions and generalizations of the results presented in the book, as well as references to the literature, are provided in the Discussion and Bibliography section at the end of each chapter.With the exception of Chapter One, all chapters are supplemented with exercises.