2017
DOI: 10.3390/e19040155
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Random Walks Associated with Nonlinear Fokker–Planck Equations

Abstract: Abstract:A nonlinear random walk related to the porous medium equation (nonlinear Fokker-Planck equation) is investigated. This random walk is such that when the number of steps is sufficiently large, the probability of finding the walker in a certain position after taking a determined number of steps approximates to a q-Gaussian distribution (G q,β (x) ∝ [1 − (1 − q)βx 2 ] 1/(1−q) ), which is a solution of the porous medium equation. This can be seen as a verification of a generalized central limit theorem wh… Show more

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Cited by 18 publications
(6 citation statements)
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“…It is worth to note that the connections between stochastic processes and nonlinear Fokker-Planck equations have also been analyzed in [15,25] and in references therein.…”
Section: Introductionmentioning
confidence: 99%
“…It is worth to note that the connections between stochastic processes and nonlinear Fokker-Planck equations have also been analyzed in [15,25] and in references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Complementary, nonlinear, heterogeneous and fractional approaches also provide generalisations of the FPE. Nonlinear diffusion equations, whose solutions exhibit a non-Gaussian behaviour, has been associated to nonlinear FPE in several scenarios: quantum walks [16], non-extensive statistical mechanics [17][18][19][20][21], generalisations of the Central Limit Theorem which imply non-Gaussian forms (called as q-Gaussian distributions) [22][23][24][25], among others. In addition, the study of the FPE with a nonconstant diffusion coefficient has allowed to introduce a natural generalisation of the Brownian motion in an heterogeneous medium [26,27].…”
Section: Introductionmentioning
confidence: 99%
“…A linear form of PME is the Fourier heat equation. The porous medium equation, also called by some authors NFPE [6], describes the diffusion of the molecules of a gas and fluid particles through porous media [7]. Despite the simplicity of PME, it is important to better understand this equation, because it is well known that most of the equations modeling physical phenomena without excessive simplification become nonlinear [8].…”
mentioning
confidence: 99%