What is it about?
thermodynamic models specify a minimal kind of information about the system in terms of thermodynamic parameters. We get to a level below and assume incomplete information on these parameters. The presumed uncertainty is quantified in terms of a prior probability distribution. The intent is to make inference based on limited information. In this paper, we apply it to maximal work extraction process and derive some interesting consequences.
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Why is it important?
The paper combines probabilities (priors) --understood as limited subjective information on the system, with thermodynamic models. Gives a unique perspective on the optimal characteristics of these models.
Perspectives
This is one of a series of papers using the approach on subjective probabilities and thermodynamic models, initiated by the author. This is intended to give a new perspective to our objective models, which are made less objective by incorporating some subjective lack of information. This is to better understand the subjective/objective divide in the interpretation of our scientific theories.
Dr. Ramandeep R. S. Johal
Indian Institute of Science Education and Research Mohali
Read the Original
This page is a summary of: Efficiency at optimal work from finite source and sink: A probabilistic perspective, Journal of Non-Equilibrium Thermodynamics, January 2015, De Gruyter,
DOI: 10.1515/jnet-2014-0021.
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