Distribution of rooks on a chess-board representing a Latin square partitioned by a subsystem

TL;DR

This paper generalizes Latin squares to higher dimensions, analyzing rook distributions on a multi-dimensional chessboard and exploring partitions induced by set complements, with specific results for 2D and 3D cases.

Contribution

It introduces a new framework for partitioning high-dimensional Latin square representations and derives formulas for rook density and distribution in these partitions.

Findings

In 3D, the chess-board represents exactly one main class.

Formulas relate rook counts in partitions to set complements and Hamming distance.

A new binomial coefficient identity is established.

Abstract

A $d$-dimensional generalization of a Latin square of order $n$ can be considered as a chess-board of size $n\times n\times \ldots\times n$ ($d$ times), containing $n^d$ cells with $n^{d-1}$ non-attacking rooks. Each cell is identified by a $d$-tuple $(e_1,e_2,\ldots ,e_d)$ where $e_i \in \{1,2,\ldots ,n\}$. For $d = 3$ we prove that such a chess-board represents precisely one main class. A subsystem $T$ induced by a family of sets $<E_1,E_2,\ldots ,E_d>$ over $\{1,2,\ldots ,n\}$ is real if $E_i \subset \{1,2,\ldots ,n\}$ for each $i \in \{1,2,\ldots ,d\}$. The density of $T$ is the ratio of contained rooks to the number of cells in $T$. The distance between two subsystems is the minimum Hamming distance between cell pairs. Replacing $k$ sets of $<E_1,E_2,\ldots ,E_d>$ by their complements, a subsystem $U$ is obtained with distance $k$ between $T$ and $U$. All these subsystems, including $T$, form a partition of the chess-board. We prove that in such a partition, the number of rooks in a $U$ and the density of $U$ can be determined from the number of rooks in $T$ and the number of cells in $T$ and $U$ and the value of $(-1)^k$. We examine the subsystem couple $(T,U)$ in the $2$- and $3$-dimensional cases, where $U$ is the most distant unique subsystem from a real $T$. On the fly, a new identity of binomial coefficients is proved.