Statistical Physics from Quantum Envariance Principles

Quantum Physics arXiv:2510.25253 (quant-ph) [Submitted on 29 Oct 2025] Title:Statistical Physics from Quantum Envariance Principles Authors:Amul Ojha, Shubhit Sardana, Arnab Ghosh View a PDF of the paper titled Statistical Physics from Quantum Envariance Principles, by Amul Ojha and 2 other authors View PDF HTML (experimental) Abstract:We build on the foundational work of Deffner and Zurek [S.~Deffner and W.~H.~Zurek, {New J.~Phys.18, 063013 (2016)}] to demonstrate how the principles of statistical mechanics can be derived from quantum mechanics using the concept of envariance (environment-assisted invariance). In particular, we show how the Binomial, Poisson, and Gaussian distributions naturally emerge from entangled system--environment states. Furthermore, we resolve the Gibbs paradox using entanglement entropy, obtaining the Sackur--Tetrode equation with quantum corrections. Extending this framework, we derive a modified Saha equation for ionization equilibrium and recover Bose--Einstein and Fermi--Dirac statistics from quantum symmetries. Our results reinforce and extend the view that statistical mechanics arises as a direct consequence of quantum information dynamics, rather than being founded on phenomenological postulates. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2510.25253 [quant-ph] (or arXiv:2510.25253v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2510.25253 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Amul Ojha [view email] [v1] Wed, 29 Oct 2025 08:04:23 UTC (36 KB) Full-text links: Access Paper: View a PDF of the paper titled Statistical Physics from Quantum Envariance Principles, by Amul Ojha and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-10 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)