Symbolic estimation of distances between eigenvalues of Hermitian operator
Ilia Lomidze, Natela Chachava

TL;DR
This paper introduces a symbolic method using Hankel matrices to estimate the minimal and maximal distances between eigenvalues of Hermitian matrices and roots of real polynomials, including their range of locations, with arbitrary precision.
Contribution
It presents a novel symbolic approach for estimating eigenvalue distances and locations of Hermitian matrices and real polynomials using Hankel matrix formalism.
Findings
Effective symbolic estimation of eigenvalue distances
Range of eigenvalue locations can be symbolically determined
Estimations are precise to any desired level
Abstract
We find out a method for symbolic estimation of a minimal (maximal) distance between eigenvalues of a Hermitian matrix (or roots of a polynomial with real (maybe degenerated) roots), using Hankel matrices formalism. The range of location of eigenvalues is symbolically estimated too. All estimations can be done with any precision.
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 · Advanced Optimization Algorithms Research
