May 18 – 22, 2026
Virginia Tech
America/New_York timezone

Fast computation of eigenvalues of periodic CMV matrices

May 21, 2026, 2:25 PM
25m
McBryde Hall 129 (Virginia Tech)

McBryde Hall 129

Virginia Tech

Contributed Talk Contributed Talks Contributed Talks

Speaker

David S Watkins (Washington State University)

Description

Periodic CMV matrices are unitary matrices that can be specified by $O(n)$ data. Their eigenvalues can be computed by standard methods, storing them as conventional matrices (using $O(n^{2})$ data) in $O(n^{3})$ time. Since periodic CMV matrices can be specified by $O(n)$ data, one would hope to find a method that computes the eigenvalues in $O(n^{2})$ time instead of $O(n^3)$. This is indeed possible, and we will show how to do it.

Author

David S Watkins (Washington State University)

Presentation materials

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