Second law of classical and quantum thermodynamics and its validity for any timescale and system size

Andrew Das Arulsamy

Chaos, Solitons & Fractals, 2023, vol. 175, issue P2

Abstract: We develop a strategy to properly analyse the entropy in a classical system originally envisaged by Maxwell and extended it to quantum systems (molten liquid and water interacting with photons). We exploit the renormalized interaction to evaluate the entropy-change in these systems and have unequivocally identified the following two assumptions to be physically false. The false assumptions are related to (1) time reversibility and (2) reversible physical interaction(s) without any other changes. The second law of thermodynamics is found to be valid for any timescale and system size for as long as these two assumptions are violated, and stay violated. In the presence of any phase transition, or for larger systems with longer timescales, these two assumptions are automatically false. We prove that if we activate these assumptions at certain timescale and size, we are then led to the violation of the second law of thermodynamics.

Keywords: Entropy; Maxwell’s demon; Renormalized interaction theory; Time reversibility; Irreversible physical interaction; Principle of energy conservation (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077923009499
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:175:y:2023:i:p2:s0960077923009499

DOI: 10.1016/j.chaos.2023.114048

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().