About matrices of the local maximum of determinant

N. A. Balonin, M. Sergeev
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引用次数: 4

Abstract

The paper deals with the problem of basic generalizations of Hadamard matrices associated with maximal determinant matrices or not optimal by determinant matrices with orthogonal columns; quasi-orthogonal matrices of the local maximum of determinant have been studied not enough sufficiently. The goal of this paper is to develop theory of such matrices on the preliminary research results. Extreme solutions have been established by minimization of maximum of absolute values of the elements of the matrices followed its subsequent classification according to the quantity of levels and its values depending on orders. The conjecture that there are only five non-trivial and strong optimal low-quantity levels matrices of odd order less than 13 have been proposed. Main types of quasi-orthogonal matrices of the local maximum of determinant (M-matrices) including Mersenne, Fermat, and Euler matrices have been identified and described by its weighing functions. The conjecture accordingly existence of all Mersenne matrices of odd order have been formulated. The question of Mersenne and Hadamard matrices existence is observed Mersenne and Fermat Filters based on the suboptimal by determinant matrices have been used for the masking and image compression.
关于行列式的局部极大矩阵
讨论了哈达玛矩阵与极大行列式矩阵或正交列行列式矩阵不最优相关的基本推广问题;对行列式局部极大的拟正交矩阵的研究还不够充分。本文的目的是在初步研究成果的基础上进一步发展这类矩阵的理论。通过最小化矩阵元素的绝对值的最大值,然后根据层次的数量进行分类,并根据阶数进行分类,从而建立了极值解。提出了只有5个奇阶小于13的非平凡强最优低量水平矩阵的猜想。给出了主要类型的拟正交矩阵的局部极大行列式(m矩阵),包括Mersenne矩阵、Fermat矩阵和Euler矩阵,并用其权重函数对其进行了识别和描述。由此导出了所有奇阶梅森矩阵存在性的猜想。观察了Mersenne和Hadamard矩阵存在的问题,并将基于行列式矩阵的次优Mersenne和Fermat滤波器用于掩模和图像压缩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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