Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Functional Analytic Techniques For Diffusion Processes
Download Functional Analytic Techniques For Diffusion Processes full books in PDF, epub, and Kindle. Read online Functional Analytic Techniques For Diffusion Processes ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Functional Analytic Techniques for Diffusion Processes by : Kazuaki Taira
Download or read book Functional Analytic Techniques for Diffusion Processes written by Kazuaki Taira and published by Springer Nature. This book was released on 2022-05-28 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an easy-to-read reference providing a link between functional analysis and diffusion processes. More precisely, the book takes readers to a mathematical crossroads of functional analysis (macroscopic approach), partial differential equations (mesoscopic approach), and probability (microscopic approach) via the mathematics needed for the hard parts of diffusion processes. This work brings these three fields of analysis together and provides a profound stochastic insight (microscopic approach) into the study of elliptic boundary value problems. The author does a massive study of diffusion processes from a broad perspective and explains mathematical matters in a more easily readable way than one usually would find. The book is amply illustrated; 14 tables and 141 figures are provided with appropriate captions in such a fashion that readers can easily understand powerful techniques of functional analysis for the study of diffusion processes in probability. The scope of the author’s work has been and continues to be powerful methods of functional analysis for future research of elliptic boundary value problems and Markov processes via semigroups. A broad spectrum of readers can appreciate easily and effectively the stochastic intuition that this book conveys. Furthermore, the book will serve as a sound basis both for researchers and for graduate students in pure and applied mathematics who are interested in a modern version of the classical potential theory and Markov processes. For advanced undergraduates working in functional analysis, partial differential equations, and probability, it provides an effective opening to these three interrelated fields of analysis. Beginning graduate students and mathematicians in the field looking for a coherent overview will find the book to be a helpful beginning. This work will be a major influence in a very broad field of study for a long time.
Book Synopsis Diffusion Processes and Partial Differential Equations by : Kazuaki Taira
Download or read book Diffusion Processes and Partial Differential Equations written by Kazuaki Taira and published by . This book was released on 1988 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a careful and accessible exposition of functional analytic methods in stochastic analysis. It focuses on the relationship between Markov processes and elliptic boundary value problems and explores several recent developments in the theory of partial differential equations which have made further progress in the study of Markov processes possible. This book will have great appeal to both advanced students and researchers as an introduction to three interrelated subjects in analysis (Markov processes, semigroups, and elliptic boundary value problems), providing powerful methods for future research.
Book Synopsis Stochastic Processes and Applications by : Grigorios A. Pavliotis
Download or read book Stochastic Processes and Applications written by Grigorios A. Pavliotis and published by Springer. This book was released on 2014-11-19 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Real Analysis Methods for Markov Processes by : Kazuaki Taira
Download or read book Real Analysis Methods for Markov Processes written by Kazuaki Taira and published by Springer Nature. This book was released on with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multidimensional Diffusion Processes by : Daniel W. Stroock
Download or read book Multidimensional Diffusion Processes written by Daniel W. Stroock and published by Springer. This book was released on 2007-02-03 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "This book is an excellent presentation of the application of martingale theory to the theory of Markov processes, especially multidimensional diffusions. [...] This monograph can be recommended to graduate students and research workers but also to all interested in Markov processes from a more theoretical point of view." Mathematische Operationsforschung und Statistik
Book Synopsis Diffusion Processes and Related Problems in Analysis by : Mark A. Pinsky
Download or read book Diffusion Processes and Related Problems in Analysis written by Mark A. Pinsky and published by Birkhauser. This book was released on 1990 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inference for Ergodic Diffusion Processes by : Yury A. Kutoyants
Download or read book Statistical Inference for Ergodic Diffusion Processes written by Yury A. Kutoyants and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.
Book Synopsis Analysis For Diffusion Processes On Riemannian Manifolds by : Feng-yu Wang
Download or read book Analysis For Diffusion Processes On Riemannian Manifolds written by Feng-yu Wang and published by World Scientific. This book was released on 2013-09-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic analysis on Riemannian manifolds without boundary has been well established. However, the analysis for reflecting diffusion processes and sub-elliptic diffusion processes is far from complete. This book contains recent advances in this direction along with new ideas and efficient arguments, which are crucial for further developments. Many results contained here (for example, the formula of the curvature using derivatives of the semigroup) are new among existing monographs even in the case without boundary.
Book Synopsis Stochastic Analysis and Diffusion Processes by : Gopinath Kallianpur
Download or read book Stochastic Analysis and Diffusion Processes written by Gopinath Kallianpur and published by OUP Oxford. This book was released on 2014-01-09 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Analysis and Diffusion Processes presents a simple, mathematical introduction to Stochastic Calculus and its applications. The book builds the basic theory and offers a careful account of important research directions in Stochastic Analysis. The breadth and power of Stochastic Analysis, and probabilistic behavior of diffusion processes are told without compromising on the mathematical details. Starting with the construction of stochastic processes, the book introduces Brownian motion and martingales. The book proceeds to construct stochastic integrals, establish the Itô formula, and discuss its applications. Next, attention is focused on stochastic differential equations (SDEs) which arise in modeling physical phenomena, perturbed by random forces. Diffusion processes are solutions of SDEs and form the main theme of this book. The Stroock-Varadhan martingale problem, the connection between diffusion processes and partial differential equations, Gaussian solutions of SDEs, and Markov processes with jumps are presented in successive chapters. The book culminates with a careful treatment of important research topics such as invariant measures, ergodic behavior, and large deviation principle for diffusions. Examples are given throughout the book to illustrate concepts and results. In addition, exercises are given at the end of each chapter that will help the reader to understand the concepts better. The book is written for graduate students, young researchers and applied scientists who are interested in stochastic processes and their applications. The reader is assumed to be familiar with probability theory at graduate level. The book can be used as a text for a graduate course on Stochastic Analysis.
Book Synopsis Topics in Functional Analysis and Applications by : S. Kesavan
Download or read book Topics in Functional Analysis and Applications written by S. Kesavan and published by John Wiley & Sons. This book was released on 1989 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Present day research in partial differential equations uses a lot of functional analytic techniques. This book treats these methods concisely, in one volume, at the graduate level. It introduces distribution theory (which is fundamental to the study of partial differential equations) and Sobolev spaces (the natural setting in which to find generalized solutions of PDE). Examples, counter-examples, and exercises are included.
Book Synopsis Functional Integration and Partial Differential Equations by : Mark Iosifovich Freidlin
Download or read book Functional Integration and Partial Differential Equations written by Mark Iosifovich Freidlin and published by Princeton University Press. This book was released on 1985-08-21 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses some aspects of the theory of partial differential equations from the viewpoint of probability theory. It is intended not only for specialists in partial differential equations or probability theory but also for specialists in asymptotic methods and in functional analysis. It is also of interest to physicists who use functional integrals in their research. The work contains results that have not previously appeared in book form, including research contributions of the author"--Publisher description.
Book Synopsis Inference for Diffusion Processes by : Christiane Fuchs
Download or read book Inference for Diffusion Processes written by Christiane Fuchs and published by Springer Science & Business Media. This book was released on 2013-01-18 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often carried out incorrectly, and the according statistical inference is considered almost exclusively by theoreticians. This book explains both topics in an illustrative way which also addresses practitioners. It provides a complete overview of the current state of research and presents important, novel insights. The theory is demonstrated using real data applications.
Book Synopsis Analytic Methods in Interdisciplinary Applications by : Vladimir V. Mityushev
Download or read book Analytic Methods in Interdisciplinary Applications written by Vladimir V. Mityushev and published by Springer. This book was released on 2014-11-20 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes lectures given by the plenary and key speakers at the 9th International ISAAC Congress held 2013 in Krakow, Poland. The contributions treat recent developments in analysis and surrounding areas, concerning topics from the theory of partial differential equations, function spaces, scattering, probability theory, and others, as well as applications to biomathematics, queueing models, fractured porous media and geomechanics.
Book Synopsis Analytic Methods In The Theory Of Differential And Pseudo-Differential Equations Of Parabolic Type by : Samuil D. Eidelman
Download or read book Analytic Methods In The Theory Of Differential And Pseudo-Differential Equations Of Parabolic Type written by Samuil D. Eidelman and published by Birkhäuser. This book was released on 2012-12-06 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to new classes of parabolic differential and pseudo-differential equations extensively studied in the last decades, such as parabolic systems of a quasi-homogeneous structure, degenerate equations of the Kolmogorov type, pseudo-differential parabolic equations, and fractional diffusion equations. It will appeal to mathematicians interested in new classes of partial differential equations, and physicists specializing in diffusion processes.
Book Synopsis Elliptic Boundary Value Problems and Construction of LP-Strong Feller Processes with Singular Drift and Reflection by : Benedict Baur
Download or read book Elliptic Boundary Value Problems and Construction of LP-Strong Feller Processes with Singular Drift and Reflection written by Benedict Baur and published by . This book was released on 2014-05-31 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Inverse Problems in Diffusion Processes by : Heinz W. Engl
Download or read book Inverse Problems in Diffusion Processes written by Heinz W. Engl and published by SIAM. This book was released on 1995-01-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of expository papers encompasses both the theoretical and physical application side of inverse problems in diffusion processes.
Book Synopsis Positive Harmonic Functions and Diffusion by : Ross G. Pinsky
Download or read book Positive Harmonic Functions and Diffusion written by Ross G. Pinsky and published by Cambridge University Press. This book was released on 1995-01-12 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Professor Pinsky gives a self-contained account of the theory of positive harmonic functions for second order elliptic operators, using an integrated probabilistic and analytic approach. The book begins with a treatment of the construction and basic properties of diffusion processes. This theory then serves as a vehicle for studying positive harmonic funtions. Starting with a rigorous treatment of the spectral theory of elliptic operators with nice coefficients on smooth, bounded domains, the author then develops the theory of the generalized principal eigenvalue, and the related criticality theory for elliptic operators on arbitrary domains. Martin boundary theory is considered, and the Martin boundary is explicitly calculated for several classes of operators. The book provides an array of criteria for determining whether a diffusion process is transient or recurrent. Also introduced are the theory of bounded harmonic functions, and Brownian motion on manifolds of negative curvature. Many results that form the folklore of the subject are here given a rigorous exposition, making this book a useful reference for the specialist, and an excellent guide for the graduate student.
