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Generation of test matrices by similarity transformations

Published: 01 June 1964 Publication History

Abstract

A method for obtaining test matrices with a prescribed distribution of characteristic roots is given. The process consists of using particularly simple similarity transformations to generate full matrices from canonical forms. The matrices generated also have known characteristic vectors, inverses and determinants.

References

[1]
BELLMAN, R. Introduction to Matrix Analysis. Ch. 12. McGraw-Hill, New York, 1960.
[2]
BRENNER, J. L. A set of matrices for testing computer programs. Comm. ACM 5, 8 (Aug. 1962), 443-444.
[3]
____. Mahler matrices and the equation QA = AQm. Duke Math. J. 29 (1962), 13-28.
[4]
LEHMER, D. H. Mahler's matrices. J. Australian Math. Soc. 1 (1959-60), 385-395.
[5]
MARCUS, M. Basic Theorems in Matrix Theory. Nat. Bur. Standards Appl. Math. Ser. No. 57, U.S. Government Printing Off., Washington, D.C., 1960.

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cover image Communications of the ACM
Communications of the ACM  Volume 7, Issue 6
June 1964
63 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/512274
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1964
Published in CACM Volume 7, Issue 6

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  • (2024)On integer matrices with integer eigenvalues and Laplacian integral graphsDiscrete Mathematics10.1016/j.disc.2023.113707347:1(113707)Online publication date: Jan-2024
  • (1981)Computational methods of linear algebraJournal of Soviet Mathematics10.1007/BF0108654415:5(531-650)Online publication date: 1981
  • (1971)Summary of "Eigenvalue & Eigenvector Routines in the McMaster Program Library"ACM SIGNUM Newsletter10.1145/1052618.10526196:2(8-9)Online publication date: 1-May-1971
  • (1971)Su certe matrici utilizzabili come matrici testCalcolo10.1007/BF025755768:1-2(81-88)Online publication date: Mar-1971
  • (1970)Certification of algorithm 343 [F1]: eigenvalues and eigenvectors of a real general matrixCommunications of the ACM10.1145/362007.36205013:2(122-124)Online publication date: 1-Feb-1970
  • (1968)Programming Languages: Generation of positive test matrices with known positive spectraCommunications of the ACM10.1145/363567.36358211:8(559-560)Online publication date: 1-Aug-1968

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