Stochastic Processes and Orthogonal Polynomials PDF Download
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Author: Wim Schoutens
Publisher: Springer Science & Business Media
ISBN: 1461211700
Category : Mathematics
Languages : en
Pages : 170
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Book Description
The book offers an accessible reference for researchers in the probability, statistics and special functions communities. It gives a variety of interdisciplinary relations between the two main ingredients of stochastic processes and orthogonal polynomials. It covers topics like time dependent and asymptotic analysis for birth-death processes and diffusions, martingale relations for Lévy processes, stochastic integrals and Stein's approximation method. Almost all well-known orthogonal polynomials, which are brought together in the so-called Askey Scheme, come into play. This volume clearly illustrates the powerful mathematical role of orthogonal polynomials in the analysis of stochastic processes and is made accessible for all mathematicians with a basic background in probability theory and mathematical analysis. Wim Schoutens is a Postdoctoral Researcher of the Fund for Scientific Research-Flanders (Belgium). He received his PhD in Science from the Catholic University of Leuven, Belgium.
Author: Wim Schoutens
Publisher: Springer Science & Business Media
ISBN: 1461211700
Category : Mathematics
Languages : en
Pages : 170
Get Book Here
Book Description
The book offers an accessible reference for researchers in the probability, statistics and special functions communities. It gives a variety of interdisciplinary relations between the two main ingredients of stochastic processes and orthogonal polynomials. It covers topics like time dependent and asymptotic analysis for birth-death processes and diffusions, martingale relations for Lévy processes, stochastic integrals and Stein's approximation method. Almost all well-known orthogonal polynomials, which are brought together in the so-called Askey Scheme, come into play. This volume clearly illustrates the powerful mathematical role of orthogonal polynomials in the analysis of stochastic processes and is made accessible for all mathematicians with a basic background in probability theory and mathematical analysis. Wim Schoutens is a Postdoctoral Researcher of the Fund for Scientific Research-Flanders (Belgium). He received his PhD in Science from the Catholic University of Leuven, Belgium.
Author: Manuel Domínguez de la Iglesia
Publisher: Cambridge University Press
ISBN: 1009035207
Category : Mathematics
Languages : en
Pages : 348
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Book Description
In pioneering work in the 1950s, S. Karlin and J. McGregor showed that probabilistic aspects of certain Markov processes can be studied by analyzing orthogonal eigenfunctions of associated operators. In the decades since, many authors have extended and deepened this surprising connection between orthogonal polynomials and stochastic processes. This book gives a comprehensive analysis of the spectral representation of the most important one-dimensional Markov processes, namely discrete-time birth-death chains, birth-death processes and diffusion processes. It brings together the main results from the extensive literature on the topic with detailed examples and applications. Also featuring an introduction to the basic theory of orthogonal polynomials and a selection of exercises at the end of each chapter, it is suitable for graduate students with a solid background in stochastic processes as well as researchers in orthogonal polynomials and special functions who want to learn about applications of their work to probability.
Author: Grigorios A. Pavliotis
Publisher: Springer
ISBN: 1493913239
Category : Mathematics
Languages : en
Pages : 345
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Book Description
This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated. The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.
Author: Don Kulasiri
Publisher: BoD – Books on Demand
ISBN: 1837695504
Category :
Languages : en
Pages : 136
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Book Description
Author: Christos Christopoulos
Publisher: CRC Press
ISBN: 1000631788
Category : Technology & Engineering
Languages : en
Pages : 658
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Book Description
This book provides a sound grasp of the fundamental concepts, applications, and practice of EMC. Developments in recent years have resulted in further increases in electrical component density, wider penetration of wireless technologies, and a significant increase in complexity of electrical and electronic equipment. New materials, which can be customized to meet EMC needs, have been introduced. Considerable progress has been made in developing numerical tools for complete system EMC simulation. EMC is now a central consideration in all industrial sectors. Maintaining the holistic approach of the previous edition of Principles and Techniques of Electromagnetic Compatibility, the Third Edition updates coverage of EMC to reflects recent important developments. What is new in the Third Edition? A comprehensive treatment of new materials (meta- and nano-) and their impact on EMC Numerical modelling of complex systems and complexity reduction methods Impact of wireless technologies and the Internet of Things (IoT) on EMC Testing in reverberation chambers, and in the time-domain A comprehensive treatment of the scope and development of stochastic models for EMC EMC issues encountered in automotive, railway, aerospace, and marine applications Impact of EMC and Intentional EMI (IEMI) on infrastructure, and risk assessment In addition to updating material, new references, examples, and appendices were added to offer further support to readers interested in exploring further. As in previous editions, the emphasis is on building a sound theoretical framework, and demonstrating how it can be turned to practical use in challenging applications. The expectation is that this approach will serve EMC engineers through the inevitable future technological shifts and developments.
Author: Hui-Hsiung Kuo
Publisher: American Mathematical Soc.
ISBN: 0821832026
Category : Mathematics
Languages : en
Pages : 242
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Book Description
This book contains the proceedings of the special session in honor of Leonard Gross held at the annual Joint Mathematics Meetings in New Orleans (LA). The speakers were specialists in a variety of fields, and many were Professor Gross's former Ph.D. students and their descendants. Papers in this volume present results from several areas of mathematics. They illustrate applications of powerful ideas that originated in Gross's work and permeate diverse fields. Topics include stochastic partial differential equations, white noise analysis, Brownian motion, Segal-Bargmann analysis, heat kernels, and some applications. The volume should be useful to graduate students and researchers. It provides perspective on current activity and on central ideas and techniques in the topics covered.
Author: Giovanni Peccati
Publisher: Springer Science & Business Media
ISBN: 8847016797
Category : Mathematics
Languages : en
Pages : 281
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Book Description
The concept of Wiener chaos generalizes to an infinite-dimensional setting the properties of orthogonal polynomials associated with probability distributions on the real line. It plays a crucial role in modern probability theory, with applications ranging from Malliavin calculus to stochastic differential equations and from probabilistic approximations to mathematical finance. This book is concerned with combinatorial structures arising from the study of chaotic random variables related to infinitely divisible random measures. The combinatorial structures involved are those of partitions of finite sets, over which Möbius functions and related inversion formulae are defined. This combinatorial standpoint (which is originally due to Rota and Wallstrom) provides an ideal framework for diagrams, which are graphical devices used to compute moments and cumulants of random variables. Several applications are described, in particular, recent limit theorems for chaotic random variables. An Appendix presents a computer implementation in MATHEMATICA for many of the formulae.
Author: Roger G. Ghanem
Publisher: Springer Science & Business Media
ISBN: 1461230942
Category : Science
Languages : en
Pages : 217
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Book Description
This monograph considers engineering systems with random parame ters. Its context, format, and timing are correlated with the intention of accelerating the evolution of the challenging field of Stochastic Finite Elements. The random system parameters are modeled as second order stochastic processes defined by their mean and covari ance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is used' to represent these processes in terms of a countable set of un correlated random vari ables. Thus, the problem is cast in a finite dimensional setting. Then, various spectral approximations for the stochastic response of the system are obtained based on different criteria. Implementing the concept of Generalized Inverse as defined by the Neumann Ex pansion, leads to an explicit expression for the response process as a multivariate polynomial functional of a set of un correlated random variables. Alternatively, the solution process is treated as an element in the Hilbert space of random functions, in which a spectral repre sentation in terms of the Polynomial Chaoses is identified. In this context, the solution process is approximated by its projection onto a finite subspace spanned by these polynomials.
Author: Xiaoting Rui
Publisher: Springer Nature
ISBN: 9819980488
Category :
Languages : en
Pages : 4383
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Book Description
Author: Jim Pitman
Publisher: Springer Science & Business Media
ISBN: 354030990X
Category : Mathematics
Languages : en
Pages : 257
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Book Description
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.
