Is the Information Entropy the Same as the Statistical Mechanical Entropy?
Phil Attard

TL;DR
This paper demonstrates that Shannon's information entropy formula is only valid for specific states, and a more general entropy expression is necessary for statistical mechanics, including an additional term.
Contribution
It derives a general entropy formula for statistical mechanics, extending Shannon's original expression by including an extra term for broader applicability.
Findings
Shannon's entropy applies only to specific state sets.
A new entropy formula includes an additional term.
The derivation clarifies the relationship between information and statistical mechanical entropy.
Abstract
It is shown that the standard expression for the information entropy, originally due to Shannon, is only valid for a particular set of states. For the general case of statistical mechanics, one needs to include an additional term in the expression for the entropy as a function of the probability. A simple derivation of the general formula is given.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Mechanics and Entropy · Neural Networks and Applications · Advanced Thermodynamics and Statistical Mechanics
