Strong Log-Concavity Does Not Imply Log-Submodularity
arXiv:1910.11544v12 citations
Originality Incremental advance
AI Analysis
This addresses a theoretical gap in probability and combinatorics, clarifying properties of discrete distributions, but is incremental as it corrects a specific conjecture.
The paper disproves a conjecture that strong log-concavity implies log-submodularity for discrete distributions and their generating polynomials, showing it is false through counterexamples.
We disprove a recent conjecture regarding discrete distributions and their generating polynomials stating that strong log-concavity implies log-submodularity.