Next Article in Journal
Agent Inaccessibility as a Fundamental Principle in Quantum Mechanics: Objective Unpredictability and Formal Uncomputability
Next Article in Special Issue
On the Logic of a Prior Based Statistical Mechanics of Polydisperse Systems: The Case of Binary Mixtures
Previous Article in Journal
Fabrication of AlCoCrFeNi High-Entropy Alloy Coating on an AISI 304 Substrate via a CoFe2Ni Intermediate Layer
Previous Article in Special Issue
Concavity, Response Functions and Replica Energy

Entropy, Carnot Cycle, and Information Theory

Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy
Entropy 2019, 21(1), 3;
Received: 14 November 2018 / Revised: 3 December 2018 / Accepted: 18 December 2018 / Published: 20 December 2018
(This article belongs to the Special Issue Applications of Statistical Thermodynamics)
The fundamental intuition that Carnot had in analyzing the operation of steam machines is that something remains constant during the reversible thermodynamic cycle. This invariant quantity was later named “entropy” by Clausius. Jaynes proposed a unitary view of thermodynamics and information theory based on statistical thermodynamics. The unitary vision allows us to analyze the Carnot cycle and to study what happens when the entropy between the beginning and end of the isothermal expansion of the cycle is considered. It is shown that, in connection with a non-zero Kullback–Leibler distance, minor free-energy is available from the cycle. Moreover, the analysis of the adiabatic part of the cycle shows that the internal conversion between energy and work is perturbed by the cost introduced by the code conversion. In summary, the information theoretical tools could help to better understand some details of the cycle and the origin of possible asymmetries. View Full-Text
Keywords: entropy; Carnot cycle; information theory; Kullback–Leibler divergence entropy; Carnot cycle; information theory; Kullback–Leibler divergence
Show Figures

Figure 1

MDPI and ACS Style

Martinelli, M. Entropy, Carnot Cycle, and Information Theory. Entropy 2019, 21, 3.

AMA Style

Martinelli M. Entropy, Carnot Cycle, and Information Theory. Entropy. 2019; 21(1):3.

Chicago/Turabian Style

Martinelli, Mario. 2019. "Entropy, Carnot Cycle, and Information Theory" Entropy 21, no. 1: 3.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop