Energy Dissipation and Information Flow in Coupled Markovian Systems

A stochastic system under the influence of a stochastic environment is correlated with both present and future states of the environment. Such a system can be seen as implicitly implementing a predictive model of future environmental states. The non-predictive model complexity has been shown to lower-bound the thermodynamic dissipation. Here we explore these statistical and physical quantities at steady state in simple models. We show that under quasi-static driving this model complexity saturates the dissipation. Beyond the quasi-static limit, we demonstrate a lower bound on the ratio of this model complexity to total dissipation, that is realized in the limit of weak driving.

• Publication year

  2018

• Venue

  Entropy

• Publication date

  2018-06-30

• Fields of study

  Medicine, Physics, Computer Science

• Identifiers
  DOI 10.3390/e20090707arXiv 1807.00116PMID 33265796PMCID 7513232
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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