A large deviation analysis on the near-equivalence between external and internal reservoirs
João R. Medeiros and
Sílvio M. Duarte Queirós
Physica A: Statistical Mechanics and its Applications, 2016, vol. 451, issue C, 84-94
Abstract:
Within the spirit of van Kampen’s “Langevin approach”, we discuss the limits of validity of rephrasing the non-equilibrium problem of a particle subject to an external (work) reservoir–a system where the fluctuation–dissipation relation is not verified–into the simpler case with an internal (heat) reservoir for which the fluctuations and the dissipation arise from the same source. Using a convenient mapping of the thermomechanical parameters we show that, counter-intuitively, such approach is not only valid for steady state time independent quantities, but also for time dependent thermostatistical quantities, namely the injected and dissipated fluxes. We connect this result with the problem of large deviations and conclude that, in this context, we can only distinguish reservoirs by analysing the “fluctuations of accumulated fluctuations”. As a by-product, we learn that the best reference approximation to the large deviation functions of a non-Markovian external reservoir system is not the respective internal reservoir limit–as often assumed and suggested by the Langevin approach–but its internal reservoir analogue system obtained from the mapping of the original thermomechanical parameters.
Keywords: Non-equilibrium statistical mechanics; External reservoir; Effective temperature; Large deviations; Entropy production (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437116000686
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:451:y:2016:i:c:p:84-94
DOI: 10.1016/j.physa.2016.01.029
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 ().