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Distributions in the physical and en...

Saichev, Alexander I.

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Distributions in the physical and engineering sciences.. Volume 3,. Random and anomalous fractional dynamics in continuous media

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Distributions in the physical and engineering sciences./ by Alexander I. Saichev, Wojbor A. woyczynski.
其他題名:	Random and anomalous fractional dynamics in continuous media
作者:	Saichev, Alexander I.
其他作者:	woyczynski, Wojbor A.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xx, 403 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction to Volume 3 -- Notation -- Basic Distributional Tools for Probability Theory -- Random Distributions: Generalized Stochastic Processes -- Dynamical and Statistical Characteristics of Random Fields and Waves -- Forced Burgers Turbulence and Passive Tracer Transport in Burgers Flows -- Probability Distributions of Passive Tracers in Randomly Moving Media -- Levy Processes and Their Generalized Derivatives -- Linear Anomalous Fractional Dynamics in Continuous Media -- Nonlinear and Multiscale Anomalous Fractional Dynamics in Continuous Media -- Appendix A: Basic Facts About Distributions -- Bibliography -- Index.
Contained By:	Springer eBooks
標題:	Theory of distributions (Functional analysis) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-92586-8
ISBN:	9783319925868

Distributions in the physical and engineering sciences.. Volume 3,. Random and anomalous fractional dynamics in continuous media
Saichev, Alexander I.

Distributions in the physical and engineering sciences.Volume 3,Random and anomalous fractional dynamics in continuous media[electronic resource] /Random and anomalous fractional dynamics in continuous mediaby Alexander I. Saichev, Wojbor A. woyczynski. - Cham :Springer International Publishing :2018. - xx, 403 p. :ill. (some col.), digital ;24 cm. - Applied and numerical harmonic analysis,2296-5009. - Applied and numerical harmonic analysis..

Introduction to Volume 3 -- Notation -- Basic Distributional Tools for Probability Theory -- Random Distributions: Generalized Stochastic Processes -- Dynamical and Statistical Characteristics of Random Fields and Waves -- Forced Burgers Turbulence and Passive Tracer Transport in Burgers Flows -- Probability Distributions of Passive Tracers in Randomly Moving Media -- Levy Processes and Their Generalized Derivatives -- Linear Anomalous Fractional Dynamics in Continuous Media -- Nonlinear and Multiscale Anomalous Fractional Dynamics in Continuous Media -- Appendix A: Basic Facts About Distributions -- Bibliography -- Index.

Continuing the authors' multivolume project, this text considers the theory of distributions from an applied perspective, demonstrating how effective a combination of analytic and probabilistic methods can be for solving problems in the physical and engineering sciences. Volume 1 covered foundational topics such as distributional and fractional calculus, the integral transform, and wavelets, and Volume 2 explored linear and nonlinear dynamics in continuous media. With this volume, the scope is extended to the use of distributional tools in the theory of generalized stochastic processes and fields, and in anomalous fractional random dynamics. Chapters cover topics such as probability distributions; generalized stochastic processes, Brownian motion, and the white noise; stochastic differential equations and generalized random fields; Burgers turbulence and passive tracer transport in Burgers flows; and linear, nonlinear, and multiscale anomalous fractional dynamics in continuous media. The needs of the applied-sciences audience are addressed by a careful and rich selection of examples arising in real-life industrial and scientific labs and a thorough discussion of their physical significance. Numerous illustrations generate a better understanding of the core concepts discussed in the text, and a large number of exercises at the end of each chapter expand on these concepts. Distributions in the Physical and Engineering Sciences is intended to fill a gap in the typical undergraduate engineering/physical sciences curricula, and as such it will be a valuable resource for researchers and graduate students working in these areas. The only prerequisites are a three-four semester calculus sequence (including ordinary differential equations, Fourier series, complex variables, and linear algebra), and some probability theory, but basic definitions and facts are covered as needed. An appendix also provides background material concerning the Dirac-delta and other distributions.

ISBN: 9783319925868

Standard No.: 10.1007/978-3-319-92586-8doiSubjects--Topical Terms:

584042
Theory of distributions (Functional analysis)

LC Class. No.: QA324 / .S253 2018

Dewey Class. No.: 515.782

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