Extremal problems for intersecting families of subspaces with a measure
Hajime Tanaka, Norihide Tokushige
TL;DR
Let $\Omega_n$ denote the subspace set of $\mathbb{F}_q^n$ and study the maximum $\mu_{\sigma}(U)$ of intersecting families under the $\sigma$-biased measure $\mu_{\sigma}$. The authors develop a $q$-analogue of the Erdős--Ko--Rado theory and prove that, for suitable $\sigma$, the maximum is $\frac{\sigma}{1+\sigma}$ attained by the 1-containing family $A_n^{(1)}$. They extend the framework to $t$-intersecting and cross $t$-intersecting families, deriving asymptotics for $f(n,t,\sigma_{\theta,n})$ and connecting to Frankl--Wilson and Cao--Lu--Lv--Wang results. The work combines semidefinite programming, spectral analysis, probabilistic concentration, and classic intersection bounds to provide a rigorous $q$-analogue of measure-EKR results and to relate them to Hoffman's bound and subset analogues.
Abstract
We introduce a measure for subspaces of a vector space over a $q$-element field, and propose some extremal problems for intersecting families. These are $q$-analogue of Erdős-Ko-Rado type problems, and we answer some of the basic questions.
