Information Inequalities via Ideas From Additive Combinatorics
Ruzsa’s equivalence theorem provided a framework for converting certain families of inequalities in additive combinatorics to entropic inequalities (which sometimes did not possess stand-alone entropic proofs). In this work, we first establish formal equivalences between some families (different from Ruzsa) of inequalities in additive combinatorics and entropic ones. As a first step to further these equivalences, we establish an information-theoretic characterization of the magnification ratio that could also be of independent interest.
Authors
- Chin Wa Lau (ORCID: https://orcid.org/0009-0004-3864-7341)
- Chandra Nair (ORCID: https://orcid.org/0000-0003-2745-5614)
Institutions
- Chinese University of Hong Kong (HK)
Publication Details
- Journal
- IEEE Transactions on Information Theory
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/tit.2025.3557796
- Primary Topic
- Computability, Logic, AI Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00