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On Symmetric, Orthogonal, and Skew-Symmetric Matrices

Published online by Cambridge University Press:  20 January 2009

P. L. Hsu
Affiliation:
University of North Carolina, U.S.A.
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Introduction and Notation. In this paper all the scalars are real and all matrices are, if not stated to be otherwise, p-rowed square matrices. The diagonal and superdiagonal elements of a symmetric matrix, and the superdiagonal elements of a skew-symmetric matrix, will be called the distinct elements of the respective matrices. Σ will denote both the set of all symmetric matrices and the ½p(p + 1)-dimensional space whose coordinates are the distinct elements arranged in some specific order. K will denote both the set of all skew-symmetric matrices and the ½p(p – 1)-dimensional space whose coordinates are the distinct elements arranged in some specific order. Any sub-set of Σ(K) will mean both the sub-set of symmetric (skew-symmetric) matrices and the set of points of Σ(K). Any point function defined in Σ(K) will be written as a function of a symmetric (skew-symmetric) matrix. Dα will denote the diagonal matrix whose diagonal elements are α1, α2, …, αp. The characteristic roots of a symmetric matrix will be called its roots.

Type
Research Article
Copyright
Copyright © Edinburgh Mathematical Society 1953

References

page 37 note 1 This result, together with a lengthy derivation, is given in Kowalewski, . Einführung in die Determinantentheorie (Leipzig, 1909), pp. 171175.Google Scholar

page 40 note 1 Functional determinants are considered as determined up to a sign. In all the computations in this section signs of functional determinants are neglected.