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Multidimensional Matrix Mathematics: Multidimensional Matrix Transpose, Symmetry, Antisymmetry, Determinant, and Inverse, Part 4 of 6

机译:多维矩阵数学:多维矩阵转置,对称性,反对称,决定因素和逆,第4部分为6

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This is the first series of research papers to define multidimensional matrix mathematics, which includes multidimensional matrix algebra and multidimensional matrix calculus. These are new branches of math created by the author with numerous applications in engineering, math, natural science, social science, and other fields. Cartesian and general tensors can be represented as multidimensional matrices or vice versa. Some Cartesian and general tensor operations can be performed as multidimensional matrix operations or vice versa. However, many aspects of multidimensional matrix math and tensor analysis are not interchangeable. Part 4 of 6 defines the multidimensional matrix algebra operations for transpose, determinant, and inverse. Also, multidimensional matrix symmetry and antisymmetry are defined.
机译:这是定义多维矩阵数学的第一系列研究论文,包括多维矩阵代数和多维矩阵微积分。这些是作者创建的数学的新分支,具有众多工程,数学,自然科学,社会科学和其他领域的应用。笛卡尔和一般张量可以表示为多维矩阵,反之亦然。一些笛卡尔和一般张量操作可以作为多维矩阵操作执行,反之亦然。然而,多维矩阵数学和张量分析的许多方面不可互换。 6的第4部分定义用于转置,决定簇和逆的多维矩阵代数操作。此外,定义了多维矩阵对称性和反对称。

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