On Eigenvalue and Singular Value Inequalities for Matrix Product

Research output: Contribution to journalArticlepeer-review

Abstract

<p> Let H&isin;Cn&times;n have real eigenvalues &lambda;1(H)&ge;&ctdot;&ge;&lambda;n(H). It is known that if G and H are two nonnegative matrices, then &sum;kt=1&lambda;t(GH)&ge;&sum;kt=1&lambda;t(G)&lambda;n&minus;t+1(H). The authors prove that in this case if 1&le;i1 &sum;t=1k&lambda;it(GH)&ge;&sum;t=1k&lambda;it(G)&lambda;n&minus;t+1(H) and &sum;t=1k&lambda;t(GH)&ge;&sum;t=1k&lambda;it(G)&lambda;n&minus;it+1(H).</p>
Original languageAmerican English
JournalJournal of Beijing Normal University
Volume1987
StatePublished - Jan 1 1987

Keywords

  • Eigenvalue
  • Matrix
  • Singular value

Disciplines

  • Mathematics

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