Statistical theory of structure formation: self-organization

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dc.creatorKim, Eun-jin
dc.creatorLiu, Han-Li
dc.creatorAnderson, Johan
dc.date2008-12-03
dc.date2009-04-26
dc.date.accessioned2026-07-07T13:08:12Z
dc.date.available2026-07-07T13:08:12Z
dc.descriptionWe present the first prediction of the probability distribution function (PDF) for self-organization of shear flows modeled by a nonlinear diffusion equation with a stochastic forcing. A novel non-perturbative method based on a coherent structure is utilized for the prediction of the PDFs, revealing strong intermittency with exponential tails. Numerical simulations confirm these results. The predicted power spectra are also in a good agreement with simulation results. The results imply a significant probability of supercritical states due to stochastic perturbation in a variety of systems.
dc.identifierhttps://arxiv.org/abs/0812.0697
dc.identifierhttp://arxiv.org/abs/0812.0697
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/228343
dc.subjectFluid Dynamics
dc.subjectPlasma Physics
dc.titleStatistical theory of structure formation: self-organization
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