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JOURNALS // Teoreticheskaya i Matematicheskaya Fizika // Archive

TMF, 2016 Volume 186, Number 3, Pages 475–495 (Mi tmf8882)

This article is cited in 1 paper

Statistical structuring theory in parametrically excitable dynamical systems with a Gaussian pump

V. I. Klyatskina, K. V. Koshel'bc

a Obukhov Institute of Atmospheric Physics, RAS, Moscow, Russia
b Il'ichev Pacific Oceanological Institute, Far Eastern Division, RAS, Vladivostok, Russia
c Far Eastern Federal University, Vladivostok, Russia

Abstract: Based on the idea of the statistical topography, we analyze the problem of emergence of stochastic structure formation in linear and quasilinear problems described by first-order partial differential equations. The appearance of a parametric excitation on the background of a Gaussian pump is a specific feature of these problems. We obtain equations for the probability density of the solutions of these equations, whence it follows that the stochastic structure formation emerges with probability one, i.e., for almost every realization of the random parameters of the medium.

Keywords: Liouville equation, diffusion approximation, probability density, integral probability distribution function, typical realization curve, statistical topography, clustering.

Received: 02.03.2015
Revised: 20.05.2015

DOI: 10.4213/tmf8882


 English version:
Theoretical and Mathematical Physics, 2016, 186:3, 411–429

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