Mutually orthogonal binary frequency squares
Thomas Britz, Nicholas J. Cavenagh, Adam Mammoliti, Ian M. Wanless

TL;DR
This paper investigates the existence, enumeration, and properties of mutually orthogonal binary frequency squares, establishing bounds, existence results, and classifications for various orders and configurations.
Contribution
It introduces new bounds and existence results for complete and maximal sets of mutually orthogonal binary frequency squares, including constructions linked to Hadamard matrices.
Findings
Existence of at least 2^{n^2/4 - O(n log n)} isomorphism classes of complete MOFS(n) when a Hadamard matrix exists.
Existence of a 17-MOFS(n) for certain n, but no complete MOFS(n) for n ≡ 2 mod 4.
Classification of 1-maxMOFS(n) and 5-maxMOFS(n) for specific orders.
Abstract
A \emph{frequency square} is a matrix in which each row and column is a permutation of the same multiset of symbols. We consider only {\em binary} frequency squares of order with zeroes and ones in each row and column. Two such frequency squares are \emph{orthogonal} if, when superimposed, each of the 4 possible ordered pairs of entries occurs equally often. In this context we say that a -MOFS is a set of binary frequency squares of order in which each pair of squares is orthogonal. A -MOFS must satisfy , and any MOFS achieving this bound are said to be \emph{complete}. For any for which there exists a Hadamard matrix of order we show that there exists at least isomorphism classes of complete MOFS. For we show that there exists a -MOFS but no complete MOFS. A…
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