Some counterexamples related to sectorial matrices and matrix phases

Abstract A sectorial matrix is an n × n matrix whose numerical range is contained in an open half-plane, and such matrices have many nice properties. In particular, the subset of strictly accretive matrices is a convex cone in the space of n × n matrices, and results related to positive definite matrices have recently been generalized to this cone. Moreover, sectorial matrices have recently been used to define phases of a matrix, and these phases can be used to angularly bound the eigenvalues by majorization-type inequalities similar to the ones for the singular values and the absolute value of the eigenvalues. Nevertheless, many traits that would be desirable are not true for sectorial matrices and matrix phases, and in this note we present a number of counterexamples for such traits. More precisely, the counterexamples are related to sectorial polar decompositions, majorization inequalities for phases of products, the spectral and numerical radius, and Schur complements.

[1]  S. Drury Principal powers of matrices with positive definite real part , 2015 .

[2]  Nicholas J. Higham,et al.  Functions of matrices - theory and computation , 2008 .

[3]  C. R. DePrima,et al.  The range of A−1A∗ in GL(n,C) , 1974 .

[4]  Charles R. Johnson,et al.  Accretive matrix products , 1975 .

[5]  I. Olkin,et al.  Inequalities: Theory of Majorization and Its Applications , 1980 .

[6]  Charles R. Johnson,et al.  Perturbation of Matrices Diagonalizable under Congruence , 2006, SIAM J. Matrix Anal. Appl..

[7]  G. A. Watson,et al.  An algorithm for computing the numerical radius , 1997 .

[8]  Charles R. Johnson,et al.  Spectral variation under congruence , 2001 .

[9]  Minghua Lin,et al.  Singular value inequalities for matrices with numerical ranges in a sector , 2014 .

[10]  Axel Ringh,et al.  Low Phase-Rank Approximation , 2020, Linear Algebra and its Applications.

[11]  Li Qiu,et al.  On the phases of a complex matrix , 2019, Linear Algebra and its Applications.

[12]  A. Horn,et al.  Eigenvalues of the unitary part of a matrix. , 1959 .

[13]  Charles R. Johnson,et al.  A generalization of Sylvester's law of inertia , 2001 .

[14]  Tosio Kato Perturbation theory for linear operators , 1966 .

[15]  A. Ringh,et al.  Finsler geometries on strictly accretive matrices , 2020, Linear and Multilinear Algebra.

[16]  On the eigenvalues of a product of unitary matrices I , 1974 .

[17]  T. Sano,et al.  Operator means for operators with positive definite real part , 2020, Advances in Operator Theory.

[18]  Sei Zhen Khong,et al.  A Phase Theory of MIMO LTI Systems , 2021, arXiv.org.

[19]  Charles R. Johnson,et al.  Congruential automorphism groups of general matrices , 2004 .

[20]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[21]  Roy Mathias,et al.  Matrices with Positive Definite Hermitian Part: Inequalities and Linear Systems , 1992, SIAM J. Matrix Anal. Appl..

[22]  F. Kittaneh,et al.  On the weighted geometric mean of accretive matrices , 2020, Annals of Functional Analysis.

[23]  F. Tan,et al.  An Extension of the AM–GM–HM Inequality , 2020, Bulletin of the Iranian Mathematical Society.

[24]  Chi-Kwong Li,et al.  Determinantal and eigenvalue inequalities for matrices with numerical ranges in a sector , 2013, 1306.4916.

[25]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[27]  Fuzhen Zhang,et al.  A matrix decomposition and its applications , 2015 .

[28]  Fuzhen Zhang Matrix Theory: Basic Results and Techniques , 1999 .

[29]  M. Alakhrass A note on sectorial matrices , 2020, Linear and Multilinear Algebra.