The matrix golden mean and its applications to Riccati matrix equations

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

In this paper we generalize the concept of the golden mean of positive numbers to the golden mean of positive definite matrices and apply it to some Riccati algebraic and differential matrix equations. We describe the unique positive definite solutions of the Riccati matrix equations X A-1 X ± X - (B - A) = 0 with 0 < A ≤ B in terms of geometric and golden means of positive definite matrices as well as the asymptotic behavior of the associated Riccati differential equations X = -X A-1 X ± X + (B - A). We describe (apparently new) results related to matrix continued fractions, symplectic Hamiltonian matrices, and other matrix means obtained from golden mean-related inequalities via canonical iterative processes.

Original languageEnglish
Pages (from-to)54-66
Number of pages13
JournalSIAM Journal on Matrix Analysis and Applications
Volume29
Issue number1
DOIs
StatePublished - 2006
Externally publishedYes

Keywords

  • Continued fraction
  • Geometric mean
  • Golden mean
  • Positive definite matrix
  • Riccati (differential) matrix equation
  • Riemannian metric
  • Symplectic Hainiltonian

Fingerprint

Dive into the research topics of 'The matrix golden mean and its applications to Riccati matrix equations'. Together they form a unique fingerprint.

Cite this