Convergence to a Gaussian by Narrowing of Central Peak in Brownian yet Non-Gaussian Diffusion in Disordered Environments

Autor:	Igor M. Sokolov, Adrian Pacheco-Pozo
Rok vydání:	2021
Předmět:	Physics Statistical Mechanics (cond-mat.stat-mech) Gaussian FOS: Physical sciences General Physics and Astronomy Contrast (music) symbols.namesake Initial distribution Convergence (routing) symbols Statistical physics Diffusion (business) Condensed Matter - Statistical Mechanics Brownian motion
Zdroj:	Physical Review Letters. 127
ISSN:	1079-7114 0031-9007
Popis:	In usual diffusion, the concentration profile, starting from an initial distribution showing sharp features, first gets smooth and then converges to a Gaussian. By considering several examples, we show that the art of convergence to a Gaussian in diffusion in disordered media with infinite contrast may be strikingly different: sharp features of initial distribution do not smooth out at long times. This peculiarity of the strong disorder may be of importance for diagnostics of disorder in complex, e.g. biological, systems. Comment: 6 pages, 6 figures (SM: 7 pages, 5 figures)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ebcd4879c5a89cf38e85d6230422045 https://doi.org/10.1103/physrevlett.127.120601 Zobrazit plný text záznamu