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The homological reduction method for computing cocyclic Hadamard matrices

机译:计算协循环Hadamard矩阵的同构约简方法

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An alternate method for constructing (Hadamard) cocyclic matrices over a finite group G is described. Provided that a homological model ~(Φ:)B(Z|G|) F/H- hG for G is known, the homological reductionrnmethod automatically generates a full basis for 2-cocycles over C (including 2-coboundaries). From these data, either an exhaustive or a heuristic search for Hadamard cocyclic matrices is then developed. The knowledge of an explicit basis for 2-cocycles which includes 2-coboundaries is a key point for the designing of the heuristic search. It is worth noting that some Hadamard cocyclic matrices have been obtained over groups G for which the exhaustive searching techniques are not feasible. From the computational-cost point of view, even in the case that the calculation of such a homological model is also included, comparison with other methods in the literature shows that the homological reduction method drastically reduces the required computing time of the operations involved, so that even exhaustive searches succeeded at orders for which previous calculations could not be completed. With aid of an implementation of the method in Mathematica, some examples are discussed, including the case of very well-known groups (finite abelian groups, dihedral groups) for clarity.
机译:描述了一种在有限组G上构造(Hadamard)同环矩阵的替代方法。如果已知用于G的同源模型〜(Φ:)B(Z | G |)F / H- hG,则同源约简方法自动为C上的2联循环(包括2个共边界)自动生成完整的基础。根据这些数据,然后开发了穷举搜索法或启发式搜索Hadamard协循环矩阵。包含2个边界的2循环的显式基础知识是设计启发式搜索的关键点。值得注意的是,已经在穷举搜索技术不可行的G组上获得了一些Hadamard协循环矩阵。从计算成本的角度来看,即使在还包括这种同源性模型的计算的情况下,与文献中的其他方法进行比较也表明,同源性归约方法会极大地减少所需运算的计算时间,因此甚至穷举搜索也成功完成了先前计算无法完成的订单。借助于在Mathematica中实现该方法的方法,讨论了一些示例,为清楚起见,其中包括非常知名的组(有限阿贝尔组,二面体组)的情况。

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