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Distributions in the Physical and Engineering Sciences, Volume 3 - Random and Anomalous Fractional Dynamics in Continuous Media (Paperback, Softcover reprint of the original 1st ed. 2018)
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Distributions in the Physical and Engineering Sciences, Volume 3 - Random and Anomalous Fractional Dynamics in Continuous Media (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: Applied and Numerical Harmonic Analysis
Expected to ship within 10 - 15 working days
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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.
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