Borcea's variance conjectures on the critical points of polynomials
Dmitry Khavinson, Rajesh Pereira, Mihai Putinar, Edward B. Saff,, Serguei Shimorin

TL;DR
This paper explores Borcea's variance conjectures related to the critical points of polynomials, proposing modifications, relaxations, and connections to matrix theory, statistics, and potential theory, with new bounds and open problems.
Contribution
It introduces new conjectures and relaxations inspired by Borcea's ideas, linking polynomial critical points to matrix spectra and potential theory, and provides illustrative bounds.
Findings
Links between polynomial critical points and matrix spectra established
Proposes new conjectures and relaxations inspired by Borcea's ideas
Provides examples with sharp bounds for the conjectures
Abstract
Closely following recent ideas of J. Borcea, we discuss various modifications and relaxations of Sendov's conjecture about the location of critical points of a polynomial with complex coefficients. The resulting open problems are formulated in terms of matrix theory, mathematical statistics or potential theory. Quite a few links between classical works in the geometry of polynomials and recent advances in the location of spectra of small rank perturbations of structured matrices are established. A couple of simple examples provide natural and sometimes sharp bounds for the proposed conjectures.
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Taxonomy
TopicsAdvanced Mathematical Theories and Applications · Mathematical Inequalities and Applications · Matrix Theory and Algorithms
