Work

Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities

Year: 2017

Type: article

Abstract: Brownian motion---the random movement of microscopic particles in a fluid---usually gives rise to a Gaussian probability of finding a particle at a particular place at a specific time. But in some situations, this probability behaves differently. A new mathematical model shows how to reconcile this behavior with other hallmarks of Brownian motion.

Source: Physical Review X

DOI: 10.1103/physrevx.7.021002

Authors: Aleksei V. Chechkin, Flavio Seno, Ralf Metzler, Igor M. Sokolov

Institutions: University of Padua, University of Potsdam, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Humboldt-Universität zu Berlin

Language: English

Topic: Statistical Mechanics and Entropy

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $4,200

Funders: Deutscher Akademischer Austauschdienst, Deutsche Forschungsgemeinschaft