Symmetric Entropy Regions of Degrees Six and Seven
Zihan Li, Shaocheng Liu, Qi Chen
TL;DR
This work classifies when symmetry constraints render the G-symmetric almost entropic region exactly describable by Shannon-type inequalities for six and seven random variables. It develops an orbit-structure and fix_G framework to define $G$-symmetric entropy regions $\Psi_G^*$ and their outer bounds $\Psi_G$, and uses $H$- and $V$-representations along with computational tools to verify Shannon-tightness across representative subgroups. The main contributions are explicit lists of subgroups $G$ for which $\overline{\Psi_G^*}=\Psi_G$ and for which $\overline{\Psi_G^*}\subsetneq\Psi_G$ in degrees six and seven, complemented by Hasse diagrams and appendix details of the symmetric polymatroidal regions. These results illuminate when symmetry simplifies entropy characterizations, with potential implications for network information theory problems exhibiting permutation symmetry.
Abstract
In this paper, we classify all G-symmetric almost entropic regions according to their Shannon-tightness, that is, whether they can be fully characterized by Shannon-type inequalities, where G is a permutation group of degree 6 or 7.
