Markov random flights

by Kolesnik, Alexander D.

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Title Statements

Full title :Markov random flights / Alexander D. Kolesnik.

Summary

"Markov Random Flights is the first systematic presentation of the theory of Markov random flights in the Euclidean spaces of different dimensions. Markov random flight is a stochastic dynamic system subject to the control of an external Poisson process and represented by the stochastic motion of a particle that moves at constant finite speed and changes its direction at random Poisson time instants. The initial (and each new) direction are taken at random according to some probability distribution on the unit sphere. Such stochastic motion is the basic model for describing many real finite-velocity transport phenomena arising in statistical physics, chemistry, biology, environmental science, financial markets. Markov random flights acts as an effective tool for modeling the slow and super-slow diffusion processes arising in various fields of science and technology. Features; Provides the first systematic presentation of the theory of Markov random flights in the Euclidean spaces of different dimensions; Suitable for graduate students and for specialists and professionals in applied areas; Introduces a new unified approach based on the powerful methods of mathematical analysis, such as integral transforms, generalized, hypergeometric and special functions"--

Edition Statements

Publication Date:©2021
Edition:First edition

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton, FL
Language:eng
Publication Date:©2021

Notes

"A Chapman & Hall book" -- title page.

The Physical Object

Description:1 online resource (xxvi, 380 pages : : illustrations.)

Edition Identifiers

ISBN:9781003098133, 1003098134
oclc:on1260360718
LC Classification:QA274.73
Dewey Decimal:519.2/33

Preliminaries -- Telegraph processes -- Planar random motion with a finite number of directions -- Integral transforms of the distributions of Markov random flights -- Markov random flight in the plane R2 -- Markov random flight in the space R3 -- Markov random flight in the space R4 -- Markov random flight in the space R6 -- Applied models.