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原文連結
論文資訊
- 類型：已發表論文
- 日期：2017-06-01
摘要
A central result that arose in applying 資訊 theory to the 隨機 熱力學s of 非線性 dynamical systems is the 資訊-processing second law (IPSL): the physical 熵 of the Universe can decrease if compensated by the Shannon-Kolmogorov-Sinai 熵 change of appropriate 資訊- carrying degrees of freedom. In particular, the asymptotic-rate IPSL precisely delineates the 熱力學 functioning of autonomous Maxwellian demons and 資訊 engines. How do these systems begin to function as engines, Landauer erasers, and error correctors? We identify a minimal, and thus inescapable, transient dissipation of physical 資訊 processing, which is not captured by asymptotic rates, but is critical to adaptive 熱力學 processes such as those found in 生物 systems. A component of transient dissipation, we also identify an implementation-dependent cost
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