You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/131311
Title: 
On the statistical and transport properties of a non-dissipative Fermi-Ulam model
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade de São Paulo (USP)
  • University of Bristol
  • Centro Internacional de Física Teórica Abdus Salam (ICTP)
ISSN: 
1089-7682
Sponsorship: 
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Sponsorship Process Number: 
  • FAPESP: 2011/19296-1
  • FAPESP: 2012/23688-5
  • FAPESP: 2014/25316-3
Abstract: 
The transport and diffusion properties for the velocity of a Fermi-Ulam model were characterized using the decay rate of the survival probability. The system consists of an ensemble of non-interacting particles confined to move along and experience elastic collisions with two infinitely heavy walls. One is fixed, working as a returning mechanism of the colliding particles, while the other one moves periodically in time. The diffusion equation is solved, and the diffusion coefficient is numerically estimated by means of the averaged square velocity. Our results show remarkably good agreement of the theory and simulation for the chaotic sea below the first elliptic island in the phase space. From the decay rates of the survival probability, we obtained transport properties that can be extended to other nonlinear mappings, as well to billiard problems.
Issue Date: 
2015
Citation: 
Chaos (woodbury, N.y.), v. 25, n. 10, p. 1-9, 2015.
Time Duration: 
1-9
Publisher: 
AIP Publishing LLC
Source: 
http://dx.doi.org/10.1063/1.4930843
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/131311
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.