Mutually Orthogonal Binary Frequency Squares
Thomas Britz, Nicholas J. Cavenagh, Adam Mammoliti, Ian M. Wanless
Source abstract
A frequency square is a matrix in which each row and column is a permutation of the same multiset of symbols. We consider only binary frequency squares of order with zeros and ones in each row and column. Two such frequency squares are orthogonal if, when superimposed, each of the 4 possible ordered pairs of entries occurs equally often. In this context we say that a set of -MOFS is a set of binary frequency squares of order in which each pair of squares is orthogonal. A set of -MOFS must satisfy , and any set of MOFS achieving this bound is said to be complete. For any for which there exists a Hadamard matrix of order we show that there exists at least isomorphism classes of complete sets of MOFS. For we show that there exists a set of -MOFS but no complete set of MOFS. A set of -maxMOFS is a set of -MOFS that is not contained in any set of -MOFS. By computer enumeration, we establish that there exists a set of -maxMOFS if and only if or . We show that up to isomorphism there is a unique -maxMOFS if , whereas no -maxMOFS exists for . We also prove that there exists a set of -maxMOFS for each order where .
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