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ELA

SMITH FORMS OF PALINDROMIC MATRIX POLYNOMIALS

D. STEVEN MACKEY†, NILOUFER MACKEY, CHRISTIAN MEHL, AND VOLKER

MEHRMANN‡

Abstract. Many applications give rise to matrix polynomials whose coefficients have a kind of reversal symmetry, a structure we call palindromic. Several properties of scalar palindromic polynomials are derived, and together with properties of compound matrices, used to establish the Smith form of regular and singular T-palindromic matrix polynomials over arbitrary fields. The invariant polynomials are shown to inherit palindromicity, and their structure is described in detail. Jordan structures of palindromic matrix polynomials are characterized, and necessary conditions for the existence of structured linearizations established. In the odd degree case, a constructive procedure for building palindromic linearizations shows that the necessary conditions are sufficient as well. The Smith form for∗-palindromic polynomials is also analyzed. Finally, results for palindromic matrix

polynomials over fields of characteristic two are presented.

Key words. Compound matrix, Elementary divisors, Invariant polynomials, Jordan struc-ture, Matrix pencil, Matrix polynomial, Palindromic matrix polynomial, Smith form, Structured linearization.

AMS subject classifications. 65F15, 15A18, 15A21, 15A54, 15A57.

Received by the editors on May 15, 2010. Accepted for publication on November 23, 2010.

Handling Editor: Bit-Shun Tam.

Department of Mathematics, Western Michigan University, Kalamazoo, MI 49008, USA

([email protected], [email protected]). Supported by National Science Foundation grants DMS-0713799 and DMS-1016224. Support from Deutsche Forschungsgemeinschaft through DFG Research CenterMatheonduring research visits to TU Berlin is gratefully acknowledged.

Institut f¨ur Mathematik, MA 4-5, Technische Universit¨at Berlin, 10623 Berlin, Germany

([email protected], [email protected]). Supported by Deutsche Forschungsge-meinschaft through DFG Research CenterMatheon, ‘Mathematics for key technologies’ in Berlin.

Electronic Journal of Linear Algebra ISSN 1081-3810 A publication of the International Linear Algebra Society Volume 22, pp. 53-91, January 2011

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