Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

We report the time-evolution of Probability Density Functions (PDFs) in a toy model of self-organised shear flows, where the formation of shear flows is induced by a finite memory time of a stochastic forcing, manifested by the emergence of a bimodal PDF with the two peaks representing non-zero mean...

Full description

Bibliographic Details
Main Authors: Quentin Jacquet, Eun-jin Kim, Rainer Hollerbach
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Entropy
Subjects:
self-organisation
shear flows
coherent structures
turbulence
stochastic processes
Langevin equation
Fokker-Planck equation
information length
Online Access:http://www.mdpi.com/1099-4300/20/8/613

Internet

http://www.mdpi.com/1099-4300/20/8/613

Similar Items