Refined Second Law of Thermodynamics for Fast Random Processes

被引：136

作者：

Aurell, Erik ^{[2
,3
,4
]}

Gawedzki, Krzysztof ^{[1
]}

Mejia-Monasterio, Carlos ^{[5
]}

Mohayaee, Roya ^{[6
]}

Muratore-Ginanneschi, Paolo ^{[7
]}

机构：

[1] Univ Lyon, ENS Lyon, CNRS, Phys Lab, F-69364 Lyon, France

[2] KTH, ACCESS Linnaeus Ctr, S-10044 Stockholm, Sweden

[3] KTH, AlbaNova Univ Ctr, Computat Biol Dept, S-10691 Stockholm, Sweden

[4] Aalto Univ, Dept Informat & Comp Sci, Aalto 00076, Finland

[5] Tech Univ Madrid, Dept Rural Engn, Lab Phys Properties, Madrid 28040, Spain

[6] Univ Paris 06, CNRS, Inst Astrophys Paris, F-75014 Paris, France

[7] Univ Helsinki, Dept Math & Stat, FIN-00014 Helsinki, Finland

来源：

JOURNAL OF STATISTICAL PHYSICS | 2012年 / 147卷 / 03期

基金：

芬兰科学院;

关键词：

Second Law of Thermodynamics; Landauer principle; Monge-Kantorovich optimal mass transport; FLUCTUATION THEOREM; LANDAUERS PRINCIPLE; ENTROPY PRODUCTION; STOCHASTIC-CONTROL; IRREVERSIBILITY; INFORMATION;

D O I：

10.1007/s10955-012-0478-x

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We establish a refined version of the Second Law of Thermodynamics for Langevin stochastic processes describing mesoscopic systems driven by conservative or non-conservative forces and interacting with thermal noise. The refinement is based on the Monge-Kantorovich optimal mass transport and becomes relevant for processes far from quasi-stationary regime. General discussion is illustrated by numerical analysis of the optimal memory erasure protocol for a model for micron-size particle manipulated by optical tweezers.

引用

页码：487 / 505

页数：19

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