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Linear and nonlinear stochastic differential equations with applications

Novel analytical nonperturbative techniques are developed in the area of nonlinear and linear stochastic differential equations and applications are considered to a variety of physical problems.

First, a method is introduced for deriving first- and second-order moment equations for a general class of stochastic nonlinear equations by performing a renormalization at the level of the second moment. These general results, when specialized to the weak-coupling limit, lead to a complete set of closed equations for the first two moments within the framework of an approximation corresponding to the direct-interaction approximation. Additional restrictions result in a self-consistent set of equations for the first two moments in the stochastic quasi-linear approximation. The technique is illustrated by considering two specific nonlinear physical random problems: model hydrodynamic and Vlasov-plasma turbulence.

The equations for the phenomenon of hydrodynamic turbulence are examined in more detail at the level of the quasi-linear approximation, which is valid for small turbulence Reynolds numbers. Closed form solutions are found for the equations governing the random fluctuations of the velocity field under the assumption of special time-dependent, uniform or sheared, mean flow profiles. Constant, transient and oscillatory flows are considered.

The smoothing approximation for solving linear stochastic differential equations is applied to several specific physical problems. The problem of a randomly perturbed quantum mechanical harmonic oscillator is investigated first using the wave kinetic technique. The equations for the ensemble average of the Wigner distribution function are defined within the framework of the smoothing approximation. Special attention is paid to the so-called long-time Markovian approximation, where the discrete nature of the quantum mechanical oscillator is explicitly visible. For special statistics of the random perturbative potential, the dependence of physical observables on time is examined in detail.

As a last example of the application of the stochastic techniques, the diffusion of a scalar quantity in the presence of a turbulent fluid is investigated. An equation corresponding to the smoothing approximation is obtained, and its asymptotic long-time version is examined for the cases of zero-mean flow and linearly sheared mean flow. / Ph. D.

Identiferoai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/38739
Date09 July 2010
CreatorsStasiak, Wojciech Boguslaw
ContributorsEngineering Science and Mechanics
PublisherVirginia Tech
Source SetsVirginia Tech Theses and Dissertation
LanguageEnglish
Detected LanguageEnglish
TypeDissertation, Text
Format111 leave, BTD, application/pdf, application/pdf
RightsIn Copyright, http://rightsstatements.org/vocab/InC/1.0/
RelationOCLC# 12643569, LD5655.V856_1977.S73.pdf

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