Transient fluctuation relations for time-dependent particle transport

被引:30
|
作者
Altland, Alexander [1 ]
De Martino, Alessandro [1 ]
Egger, Reinhold [2 ]
Narozhny, Boris [1 ,3 ]
机构
[1] Univ Cologne, Inst Theoret Phys, D-50973 Cologne, Germany
[2] Univ Dusseldorf, Inst Theoret Phys, D-40225 Dusseldorf, Germany
[3] Univ Karlsruhe, Inst Theorie Kondensierten Mat, D-76128 Karlsruhe, Germany
关键词
COUNTING STATISTICS; NONEQUILIBRIUM THERMODYNAMICS; ENTROPY PRODUCTION; DISSIPATION; DYNAMICS; LIFETIME; THEOREMS;
D O I
10.1103/PhysRevB.82.115323
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We consider particle transport under the influence of time-varying driving forces, where fluctuation relations connect the statistics of pairs of time-reversed evolutions of physical observables. In many "mesoscopic" transport processes, the effective many-particle dynamics is dominantly classical while the microscopic rates governing particle motion are of quantum-mechanical origin. We here employ the stochastic path-integral approach as an optimal tool to probe the fluctuation statistics in such applications. Describing the classical limit of the Keldysh quantum nonequilibrium field theory, the stochastic path integral encapsulates the quantum origin of microscopic particle exchange rates. Dynamically, it is equivalent to a transport master equation which is a formalism general enough to describe many applications of practical interest. We apply the stochastic path integral to derive general functional fluctuation relations for current flow induced by time-varying forces. We show that the successive measurement processes implied by this setup do not put the derivation of quantum fluctuation relations in jeopardy. While in many cases the fluctuation relation for a full time-dependent current profile may contain excessive information, we formulate a number of reduced relations, and demonstrate their application to mesoscopic transport. Examples include the distribution of transmitted charge, where we show that the derivation of a fluctuation relation requires the combined monitoring of the statistics of charge and work.
引用
收藏
页数:12
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