Accession Number:

ADA256570

Title:

Minimum Eigenvalue Separation

Descriptive Note:

Corporate Author:

CALIFORNIA UNIV BERKELEY DEPT OF MATHEMATICS

Personal Author(s):

Report Date:

1992-07-01

Pagination or Media Count:

74.0

Abstract:

For over one hundred years, the eigenvalue problem has been investigated by mathematicians, physicists, and engineers. Scientists explored the characterization, location, perturbation and computation of eigenvalues, to name a few topics. This thesis is devoted to the separation of eigenvalues. We will find the minimum gap between eigenvalues over an interesting class of tridiagonal matrices. We consider unreduced n x n symmetric tridiagonal matrices with all subdiagonal entries.

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE