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Symmetric Matrices

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Part of the book series: Undergraduate Texts in Mathematics ((UTM))

Abstract

In the 2-dimensional case, we saw that a special role is played by matrices \( \left( {\begin{array}{*{20}{c}} a&b\\ b&d \end{array}} \right) \) which have both off-diagonal elements equal. The corresponding condition in 3 dimensions is symmetry about the diagonal. We say that a matrix is symmetric if the entry in the ith position in the jth column is the same as the entry in the jth position in the ith column, i.e., a ij = a ji for all i,j,

$$ \left( {\begin{array}{*{20}{c}} a&b&c\\ b&d&e\\ c&e&f \end{array}} \right)\; = \;\left( {\begin{array}{*{20}{c}} {{a_{11}}}&{{a_{12}}}&{{a_{13}}}\\ {{a_{12}}}&{{a_{22}}}&{{a_{23}}}\\ {{a_{13}}}&{{a_{23}}}&{{a_{33}}} \end{array}} \right). $$
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© 1992 Springer-Verlag New York, Inc.

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Banchoff, T., Wermer, J. (1992). Symmetric Matrices. In: Linear Algebra Through Geometry. Undergraduate Texts in Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4390-8_17

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  • DOI: https://doi.org/10.1007/978-1-4612-4390-8_17

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8752-0

  • Online ISBN: 978-1-4612-4390-8

  • eBook Packages: Springer Book Archive

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