A Specific Case of a Family of Symmetric Matrices That Are Simultaneously Diagonalizable via Congruence

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Vo Duc Tu Duy1,*,
1 Department of Research Administration and International Relations, University of Phan Thiet, Vietnam

Abstract

This paper establishes a new condition for a specific family of symmetric matrices to be simultaneously diagonalizable via congruence. The paper considers a structured family of symmetric matrices satisfying a particular rank condition, which ensures the existence of a nonsingular congruence transformation that simultaneously diagonalizes all the initial matrices. Explicit examples are provided to illustrate the sharpness of our condition. 

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How to Cite
Vo, D. T. D. (2025). A Specific Case of a Family of Symmetric Matrices That Are Simultaneously Diagonalizable via Congruence. The University of Phan Thiet Journal of Science, 3(2), 42-50. https://tapchikhoahocupt.vn/index.php/uptjs/article/view/68
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References

Anstreicher, K.M. (2012). On convex relaxations for quadratically constrained quadratic programming. Mathematical Programming, 136, 233-251. DOI: 10.1007/s10107-012-0602-3.

Au-Yeung, Y.H. (1970). A necessary and sufficient condition for simultaneous diagonalisation of two hermitian matrices and its application. Glasgow Mathematical Journal, 11(1):81-83.

Becker, R. I. (1980). Necessary and sufficient conditions for the simultaneous diagonability of two quadratic forms. Linear Algebra and its Applications, 30, 129-139.

Greub, W. (1975). Linear algebra. Springer-Verlag, New York, 4th edition.

Hiriart-Urruty, J.-B. (2007). Potpourri of conjectures and open questions in nonlinear analysis and optimization. SIAM Review, 49(2), 255-273. DOI: 10.1137/050633500.

Hiriart-Urruty, J.-B. & Torki, M. (2002). Permanently Going Back and Forth between the “Quadratic World” and the “Convexity World” in Optimization. Applied Mathematics and Optimization, 45, 169-184. DOI: 10.1007/s00245-001-0034-6.

Horn, R. A. & Johnson, C. R. (2013). Matrix Analysis (2nd ed.). Cambridge: Cambridge University Press.

Jiang, R. & Li, D. (2016). Simultaneous diagonalization of matrices and its applications in quadratically constrained quadratic programming. SIAM Journal on Optimization, 26(3), 1649-1668. DOI: 10.1137/15M1023920.

Le, T. H. & Nguyen, T. N. (2022). Simultaneous diagonalization via congruence of Hermitian matrices: some equivalent conditions and a numerical solution. SIAM Journal on Matrix Analysis and Applications, 43(2):882-911.

Nguyen, T. N. (2024). Simultaneous Diagonalization of matrices and applications for some classes of optimization. PhD thesis, Quy Nhon University.

Stewart, G. W. (1985). A Jacobi-like algorithm for computing the Schur decomposition of a nonhermitian matrix. SIAM Journal on Scientific and Statistical Computing, 6(4), 853-864. DOI: 10.1137/0906058.

Uhlig, F. (1973). Simultaneous block diagonalization of two real symmetric matrices. Linear Algebra and its Applications, 7(3):281-289.

Uhlig, F. (1976). A canonical form for a pair of real symmetric matrices that generate a nonsingular pencil. Linear Algebra and its Applications, 14(3):189-209.