Parametric Inner Bounds for the Extreme Eigenvalues of Real Symmetric Matrices
Here, inner bounds for the extreme eigenvalues of a real symmetric matrix are derived by using a two-dimensional subspace of Rn. The addition of a single parameter to the basis vectors and optimization thereof results in superior bounds, as compared to using fixed basis vectors. This is a rather simple procedure that is easily automated.
Authors
- Virath Singh (ORCID: https://orcid.org/0000-0002-5794-5350)
- Shivani Singh (ORCID: https://orcid.org/0000-0002-6026-1072)
- P. Singh (ORCID: https://orcid.org/0000-0003-1941-7386)
Institutions
- University of South Africa (ZA)
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- Symmetry
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3390/sym17122031
- Primary Topic
- Matrix Theory and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00