EconPapers    
Economics at your fingertips  
 

Microscopic chaos and Gaussian diffusion processes

L.Y. Chew and Christopher Ting

Physica A: Statistical Mechanics and its Applications, 2002, vol. 307, issue 3, 275-296

Abstract: In this paper, we construct and analyze a prototypical model of microscopic chaos. In particular, we extend the results of Beck and Shimizu to the case where the microscopic time scale τ is no longer small. The upshot is that a non-Ornstein–Uhlenbeck deterministic process can generate a Gaussian diffusion process.

Keywords: Chaos; Gaussian diffusion process; Brownian motion; Non-Ornstein–Uhlenbeck process; Equipartition theorem; Einstein's diffusion; Green–Kubo relation (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437101006136
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:307:y:2002:i:3:p:275-296

DOI: 10.1016/S0378-4371(01)00613-6

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:307:y:2002:i:3:p:275-296