Self-consistent kinetic theory of stochasticity
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Self-consistent kinetic theory of stochasticity

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Published by Dept. of Energy, Plasma Physics Laboratory, for sale by the National Technical Information Service] in Princeton, N. J, [Springfield, Va .
Written in English


  • Stochastic processes.

Book details:

Edition Notes

Statementby J. A. Krommes.
SeriesPPPL-AF ; 89
ContributionsUnited States. Dept. of Energy., Princeton University. Plasma Physics Laboratory., International Workshop on Intrinsic Stochasticity in Plasmas (1979 : Cargese)
The Physical Object
Paginationii, 10 p. :
Number of Pages10
ID Numbers
Open LibraryOL15237023M

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Kinetic theory of protein filament growth: Self-consistent methods and perturbative techniques. Thomas C. T. Michaels; and We use perturbation and self-consistent methods for obtaining analytical solutions to the rate equations describing fibrillar growth and show how the resulting closed-form expressions can be used to shed light on the Cited by: Nov 01,  · This book is also much more of a theorist's approach to waves in plasmas, with the aim of developing the subject within the logical framework of kinetic theory. This may indeed be pleasing to the expert and to the specialist, but may be too difficult to the graduate student as an `introduction' to the subject (which the author explicitly states in the Preface).Author: Miklos Porkolab. The self-consistent proteomic field approximation for stochastic switches reproduces many intuitive notions about their behavior. It proves to be a very powerful tool that allows for the consideration of all but one of the basic building blocks of more general switches and by: We describe a new self-consistent kinetic approach of collisionless plasmas. The basic equations are obtained from a linearization of the cyclotron and bounce averaged Vlasov and Maxwell equations.

We describe a new self-consistent kinetic approach of collisionless plasmas. The basic equations are obtained from a linearization of the cyclotron and bounce averaged Vlasov and Maxwell equations. In the low frequency limit the Gauss equation is shown to be equivalent to the Quasi-Neutrality Condition . The theory is based on the kinetic equation with a particle number conserving collision term, which allows the particle distribution function to relax toward a local Maxwellian distribution at rest. The method consists of first solving the zero‐order kinetic equation to determine the self‐consistent equilibrium distribution by: 3. In present work we discuss the problem of introducing stochasticity into 3D atomistic kinetic mean-field simulations. As this is a new approach for simulating the time evolution of material systems, it should be positioned in the field of available Tetyana V. Zaporozhets, Andriy Taranovskyy, Gabriella Jáger, Andriy M. Gusak, Zoltán Erdélyi, János. The concepts of ‘uncertainty’ ‘randomness’ and’ stochasticity’ are being debated and discussed in great detail in the modeling literature. These issues are especially pertinent when comparing various stochastic methods or when calibrating and validating probabilistic by: 1.

media is presented (Chapter 9, which is actually the only self-consistent approach to the smooth gas-liquid interface. This approach has been success- fully applied to the calculation of the density profile within the van der Waals theory of surface tension. For a uniform quantitative description of gases, liquids, and crystals we. Yvon) hierarchy in kinetic theory [37, 38], allowing for a fully stochastic treatment of age-dependent process undergoing population-dependent birth and death. KINETIC EQUATIONS FOR AGING POPULATIONS To develop a fully stochastic theory for age-structured populations that can naturally describe both age- and. Self-Consistent Proteomic Field Theory of Stochastic Gene Switches Aleksandra M. Walczak,* Masaki Sasai,y and Peter G. Wolynes*z *Department of Physics, Center for Theoretical Biological Physics, University of California at San Diego, La Jolla, California;. In this theory, kinetic correlations are accounted for through a set of effective interactions within a non-equilibrium distribution function of the system. The introduction of a master equation describing the evolution with time of the distribution function and its moments leads to .