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作为记忆记录。

Work as a memory record.

作者信息

Holeček Miroslav

机构信息

New Technologies Research Center, University of West Bohemia, Plzeň 301 00, Czech Republic.

出版信息

Phys Rev E. 2019 Jun;99(6-1):062130. doi: 10.1103/PhysRevE.99.062130.

DOI:10.1103/PhysRevE.99.062130
PMID:31330670
Abstract

The possibility of a controlled manipulation with molecules at the nanoscale allows us to gain net work from thermal energy, although this seems to be in contradiction to the second law of thermodynamics. Any manipulation, however, causes some memory records somewhere in the system's surroundings. To complete the thermodynamic cycle, these records must be reset, which costs energy that cancels the previous gain. An important memory record may also be the final state of the work reservoir. This memory record is not reset. Nevertheless, it is rewritten and the associated memory erased whenever the state of the work reservoir is changed during the cycle repeating. The question is, what is the cost of this memory erasure. To answer it, we study a hypothetical cycle in which all memory records are reset except the state of the work reservoir alone, and the ensemble average of the work extracted from an equilibrium heat reservoir during this cycle, 〈W〉, is positive. It is shown that a strong information coupling of the system and the work reservoir then influences the system's dynamics so much that the cycle repeat may exhibit quite different behavior. Especially, it can run reversely and decrease energy in the work reservoir. It implies that even if the memory erasure is a natural part of the process, it costs energy in accord with information thermodynamics. At the nanoscale, this energy cost may manifest as a process obeying the fluctuation theorem.

摘要

在纳米尺度上对分子进行可控操作的可能性使我们能够从热能中获取净功,尽管这似乎与热力学第二定律相矛盾。然而,任何操作都会在系统环境的某个地方产生一些记忆记录。为了完成热力学循环,这些记录必须被重置,而这会消耗能量,抵消了之前获得的功。一个重要的记忆记录也可能是功库的最终状态。这个记忆记录不会被重置。然而,每当在循环重复过程中功库的状态发生变化时,它就会被重写,相关的记忆也会被擦除。问题是,这种记忆擦除的代价是什么。为了回答这个问题,我们研究了一个假设的循环,其中除了功库状态之外的所有记忆记录都被重置,并且在这个循环中从平衡热库提取的功的系综平均值〈W〉是正的。结果表明,系统与功库之间强烈的信息耦合会对系统动力学产生如此大的影响,以至于循环重复可能会表现出截然不同的行为。特别是,它可能会反向运行并减少功库中的能量。这意味着即使记忆擦除是过程的自然组成部分,根据信息热力学,它也会消耗能量。在纳米尺度上,这种能量消耗可能表现为一个遵循涨落定理的过程。

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