2009
DOI: 10.1590/s0103-97332009000400024
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Lie symmetries and related group-invariant solutions of a nonlinear Fokker-Planck equation based on the Sharma-Taneja-Mittal entropy

Abstract: In the framework of the statistical mechanics based on the Sharma-Taneja-Mittal entropy we derive a family of nonlinear Fokker-Planck equations characterized by the associated non-increasing Lyapunov functional. This class of equations describes kinetic processes in anomalous mediums where both super-diffusive and subdiffusive mechanisms arise contemporarily and competitively. We classify the Lie symmetries and derive the corresponding group-invariant solutions for the physically meaningful Uhlenbeck-Ornstein … Show more

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Cited by 15 publications
(32 citation statements)
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“…In this application, the linear version of the equation is considered appropriate for the description of a wide variety of physical phenomena characterized by short-range interactions and/or short-time memories, typically associated with normal diffusion. The nonlinear Fokker-Planck equation, on the other hand, is associated with anomalous diffusion, generally associated with non-Gaussian distributions Scarfone and Wada, [2].…”
Section: Introductionmentioning
confidence: 99%
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“…In this application, the linear version of the equation is considered appropriate for the description of a wide variety of physical phenomena characterized by short-range interactions and/or short-time memories, typically associated with normal diffusion. The nonlinear Fokker-Planck equation, on the other hand, is associated with anomalous diffusion, generally associated with non-Gaussian distributions Scarfone and Wada, [2].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper we study a nonlinear Fokker-Planck equation (derived in Scarfone and Wada [2]) in the framework of statistical mechanics based on a twoparameter entropy known as the Sharma-Taneja-Mittal (STM) entropy. The equation is a (1 + 1)-partial differential equation, namely…”
Section: Introductionmentioning
confidence: 99%
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“…For instance, such distributions have not finite momenta of any order as in κ-statistics where ⟨x n ⟩ < ∞ only for n < 1 κ − 1 [76]. An expectation defined by means of escort distribution might be more appropriate to solve these and other questions, although other types of nonlinear expectation can also be introduced [77].…”
Section: Introductionmentioning
confidence: 99%