Nonextensive It\^o-Langevin Dynamics
Leonardo Santos

TL;DR
This paper explores generalized Itô-Langevin equations within nonextensive thermostatistics, linking microscopic correlated random processes to macroscopic anomalous diffusion and explaining the frequent appearance of q-Gaussian distributions in nature.
Contribution
It introduces a framework connecting nonextensive stochastic dynamics with nonlinear Fokker-Planck equations and a generalized central limit theorem for correlated variables.
Findings
Derivation of nonlinear Fokker-Planck equations from generalized Langevin dynamics.
Demonstration of q-Gaussian distributions emerging as natural solutions.
Establishment of a microscopic-macroscopic connection in anomalous diffusion.
Abstract
We study generalizations of It\^{o}-Langevin dynamics consistent within nonextensive thermostatistics. The corresponding stochastic differential equations are shown to be connected with a wide class of nonlinear Fokker-Planck equations describing correlated anomalous diffusion in fractals. A generalized central limit theorem is proposed in order to demonstrate how such equations emerge as a limit of correlated random variables. In doing so, we connect microscopic and macroscopic descriptions of correlated anomalous diffusion in a mathematically sound way and shed some light in explaining why -Gaussian distributions appear quite often in nature.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Mechanics and Entropy · Complex Systems and Time Series Analysis · Advanced Thermodynamics and Statistical Mechanics
