Dynamic mean field models: H-theorem for stochastic processes and basins of attraction of stationary processes
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Publication:1886986
DOI10.1016/j.physd.2004.03.014zbMath1098.82610OpenAlexW1983875203MaRDI QIDQ1886986
Publication date: 23 November 2004
Published in: Physica D (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physd.2004.03.014
Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) Dynamical systems and their relations with probability theory and stochastic processes (37A50)
Related Items (6)
Fluctuation-dissipation theorems for nonlinear Fokker-Planck equations of the Desai-Zwanzig type and Vlasov-Fokker-Planck equations ⋮ Strongly nonlinear stochastic processes in physics and the life sciences ⋮ Nonlinear Markov processes: Deterministic case ⋮ COLLECTIVE BEHAVIOR OF BIOPHYSICAL SYSTEMS WITH THERMODYNAMIC FEEDBACK LOOPS: A CASE STUDY FOR A NONLINEAR MARKOV MODEL — THE TAKATSUJI SYSTEM ⋮ Short-time correlations of many-body systems described by nonlinear Fokker-Planck equations and Vlasov-Fokker-Planck equations ⋮ Fokker–Planck equations for globally coupled many-body systems with time delays
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