Time-dependent probability density function in cubic stochastic processes

Eun-jin Kim and Rainer Hollerbach
Phys. Rev. E 94, 052118 – Published 10 November 2016

Abstract

We report time-dependent probability density functions (PDFs) for a nonlinear stochastic process with a cubic force using analytical and computational studies. Analytically, a transition probability is formulated by using a path integral and is computed by the saddle-point solution (instanton method) and a new nonlinear transformation of time. The predicted PDF p(x,t) in general involves a time integral, and useful PDFs with explicit dependence on x and t are presented in certain limits (e.g., in the short and long time limits). Numerical simulations of the Fokker-Planck equation provide exact time evolution of the PDFs and confirm analytical predictions in the limit of weak noise. In particular, we show that transient PDFs behave drastically differently from the stationary PDFs in regard to the asymmetry (skewness) and kurtosis. Specifically, while stationary PDFs are symmetric with the kurtosis smaller than 3, transient PDFs are skewed with the kurtosis larger than 3; transient PDFs are much broader than stationary PDFs. We elucidate the effect of nonlinear interaction on the strong fluctuations and intermittency in the relaxation process.

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  • Received 28 June 2016
  • Revised 23 August 2016

DOI:https://doi.org/10.1103/PhysRevE.94.052118

©2016 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsNonlinear Dynamics

Authors & Affiliations

Eun-jin Kim

  • School of Mathematics and Statistics, University of Sheffield, Sheffield, S3 7RH, United Kingdom

Rainer Hollerbach

  • Department of Applied Mathematics, University of Leeds, Leeds, LS2 9JT, United Kingdom

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Issue

Vol. 94, Iss. 5 — November 2016

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