Optimization of entropy probability distributions with respect to general closed and convex constraint sets
In this paper, we consider a Differential Entropy Maximization Problem when standard techniques are not suitable. We use a purely topological Fan-KKM Theorem to prove the existence of a maximum entropy probability distribution with general closed and convex constraints for an Effective Counting Entropy functional of a special class of continuous random variables with values in [0,a] such that the probability density functions are nonnegative and have finite second moments.
Authors
- Robert Mendris (ORCID: https://orcid.org/0000-0003-3267-3552)
- Jinlu Li (ORCID: https://orcid.org/0000-0001-8095-0150)
Institutions
- Shawnee State University (US)
Publication Details
- Journal
- Optimization
- Published
- 2026-08-25
- DOI
- https://doi.org/10.1080/02331934.2026.2716847
- Primary Topic
- Statistical Mechanics and Entropy
- Type
- article
- Field-Weighted Citation Impact
- 0.00