A generalized projective dynamic for solving extreme and interior eigenvalue problems

Lei Hong Zhang*, Li Zhi Liao

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

15 Downloads (Pure)


In [18] (Golub and Liao), a continuous-time system which is based on the projective dynamic is proposed to solve some concave optimization problems (with the unit ball constraint) resulted from extreme and interior eigenvalue problems. The convergence inside the unit ball is established; however, neither further convergence result outside the unit ball nor the stability analysis is available. Moreover, preliminary numerical experience indicates that this method is sensitive to a parameter whose optimal value is still difficult to determine. After analyzing the stability of this dynamic, in this paper, we develop a generalized model and analyze the convergence of the new model both inside and outside the unit ball. The flow of the generalized model is proved to converge almost globally to some eigenvector corresponding to the smallest eigenvalue, and share many surprisingly analogous properties with the Rayleigh quotient gradient flow. Links of our generalized projective dynamical system with other related works are also discussed. The efficiency of our new model is both addressed in theory and verified in numerical testing.

Original languageEnglish
Pages (from-to)997-1019
Number of pages23
JournalDiscrete and Continuous Dynamical Systems - Series B
Issue number4
Publication statusPublished - Nov 2008

Scopus Subject Areas

  • Discrete Mathematics and Combinatorics
  • Applied Mathematics

User-Defined Keywords

  • Continuous-time system
  • Gradient flow
  • Projective dynamical system
  • Rayleigh quotient gradient flow
  • Stability analysis
  • Symmetric eigenproblem


Dive into the research topics of 'A generalized projective dynamic for solving extreme and interior eigenvalue problems'. Together they form a unique fingerprint.

Cite this