Young domination on Hamming rectangles
Janko Gravner, Matjaž Krnc, Martin Milanič, Jean-Florent Raymond
TL;DR
This work studies Young domination on Hamming rectangles, where growth is driven by a downward-closed zero-set ${\mathcal Z}$ (a Young diagram) and latency $L$ dictates the number of steps needed to occupy the whole grid. It derives exact formulas in key cases (notably $a$-domination for $m=n$ with $T_a$, and $L$-shaped/rectangular zero-sets) and provides polynomial-time approximation algorithms for general ${\mathcal Z}$ and fixed latency via enhanced dynamics and duality with extremal bipartite Turán problems. A central contribution is the exact resolution of several $a$-domination instances on Hamming squares, including even/odd dichotomies, plus a 3-approximation and a constant-factor approximation framework that place these problems in APX. The paper also establishes a deep duality between domination numbers and bipartite Turán numbers for families of double stars, linking nucleation-like growth to classical extremal graph theory and enabling transfer of techniques across disciplines.
Abstract
In the neighborhood growth dynamics on a Hamming rectangle $[0,m-1]\times[0,n-1]\subseteq \mathbb{Z}_+^2$, the decision to add a point is made by counting the currently occupied points on the horizontal and the vertical line through it, and checking whether the pair of counts lies outside a fixed Young diagram. After the initially occupied set is chosen, the synchronous rule is iterated. The Young domination number with a fixed latency $L$ is the smallest cardinality of an initial set that covers the rectangle by $L$ steps, for $L=0,1,\ldots$ We compute this number for some special cases, including $k$-domination for any $k$ when $m=n$, thereby proving a conjecture from 2009 due to Burchett, Lachniet, and Lane, and devise approximation algorithms in the general case. These results have implications in extremal graph theory, via an equivalence between the case $L = 1$ and bipartite Turán numbers for families of double stars. Our approach is based on a variety of techniques including duality between Young diagrams, algebraic formulations, explicit constructions, and dynamic programming.
