Computations on Some Hankel Matrices
Ruiming Zhang

TL;DR
This paper investigates specific Hankel matrices by deriving their determinants, inverses, and lower bounds for their smallest eigenvalues, contributing to the understanding of their spectral properties.
Contribution
It provides new explicit formulas and bounds for determinants, inverses, and eigenvalues of certain Hankel matrices, advancing theoretical knowledge in matrix analysis.
Findings
Explicit determinant formulas derived
Inverse matrices explicitly computed
Lower bounds for smallest eigenvalues established
Abstract
In this note, we present the determinant, the inverse and a lower bound for the smallest eigenvalue for some Hankel matrices
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Mathematical Theories and Applications · Graph theory and applications
