Kolokoltsov, Vassili N.

Markov Processes, Semigroups and Generators

Hardcover |
* ISBN 978-3-11-025010-7
Series: de Gruyter Studies in Mathematics 38
to be published March 2011

About this TitleDetailsSubjectsKeywordsThe SeriesReadershipShare About this Title
Offers a first part on basic concepts of probability theory
Then builds on that by conveying material on generators for stable-like processes and Levy processes
A third part offers various applications
Easy to follow presentation
With examples and exercises, so useable as secondary reading for courses
Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space.

This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the "physical picture" - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools.

The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Levy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes.

From the contents:

Tools from Probability and Analysis
Brownian motion
Markov processes and martingales
SDE, ƒÕDE and martingale problems
Processes in Euclidean spaces
Processes in domains with a boundary
Heat kernels for stable-like processes
Continuous-time random walks and fractional dynamics
Complex chains and Feynman integral
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Ros, Dieter

Learning and Teaching Mathematics using Simulations
Plus 2000 Examples from Physics2010

Paperback
* ISBN 978-3-11-025005-3
Series: de Gruyter Textbook
o be published May 2011

About this Title

The unique, huge and documented collection of online simulations in mathematics and physics
More than 1000 simulations - comfortably usable online
Full package downloadable for home installation
Unrivalled way of learning maths and physics

This is a unique, comprehensive and documented collection of simulations in mathematics and physics: More than 1000 simulations, offered on our webpage for comfortable use online. The book, written by an experienced teacher and practitioner, contains a complete introduction to mathematics and the documentation to the simulations. This is a great way to learn mathematics and physics.

Suitable for courses in Mathetmatics for Engineering and Sciences.

Al'shin, A. B. / Korpusov, M. O. / Sveshnikov, A. G

Blow Up In Nonlinear Sobolev Type Equations

Hardcover
* ISBN 978-3-11-025527-0
Series: de Gruyter Series in Nonlinear Analysis and Applications 15
to be published May 2011

About this Title

this monograph is devoted to the general problems of global-on-time solvability and blow-up for finite time of initial-value- and initial-boundary-value-problems solutions for nonlinear equations of Sobolev type. It describes the present state of research for existence and nonexistence questions for Cauchy problems and initial-boundary value problems for linear and nonlinear Sobolev type equations. Furthermore a numerical analysis of their solution properties is given, as well as the contemporary state of the mathematical modeling in urgent branches of physics.

Picard, Rainer / McGhee, Des

Partial Differential Equations
A unified Hilbert Space Approach

Hardcover
ISBN 978-3-11-025026-8
Series: de Gruyter Expositions in Mathematics 55
to be published May 2011

About this Title

*Global access to PDEs
With detailed proofs
For studends, researcher and a self-study
This book presents a systematic approach to a solution theory for linear partial differential equations developed in a Hilbert space setting based on a Sobolev Lattice structure, a simple extension of the well established notion of a chain (or scale) of Hilbert spaces.

The focus on a Hilbert space (rather than an apparently more general Banach space) setting is not a severe constraint, but rather a highly adaptable and suitable approach providing a more transparent framework for presenting the main issues in the development of a solution theory for partial differential
equations.

In contrast to other texts on partial differential equations which consider either specific types of partial differential equations or apply a collection of tools for solving a variety of partial differential equations, this book takes a more global point of view by focussing on the issues involved in determining the appropriate functional analytic setting in which a solution theory can naturally be developed. Applications to many areas of mathematical physics are presented.

The book aims to be largely self-contained. Full proofs to all but the most straightforward results are provided, keeping to a minimum references to other literature for essential material. It is therefore highly suitable as a resource for graduate courses and for researchers, who will find new results for particular evolutionary system from mathematical physics.