Abstract
We study global distribution of zeros for a wide range of ensembles of random polynomials. Two main directions are related to almost sure limits of the zero counting measures and to quantitative results on the expected number of zeros in various sets. In the simplest case of Kac polynomials, given by the linear combinations of monomials with i.i.d. random coefficients, it is well known that under mild assumptions on the coefficients, their zeros are asymptotically uniformly distributed near the unit circumference. We give estimates of the expected discrepancy between the zero counting measure and the normalized arclength on the unit circle. Similar results are established for polynomials with random coefficients spanned by different bases, e.g., by orthogonal polynomials. We show almost sure convergence of the zero counting measures to the corresponding equilibrium measures for associated sets in the plane and quantify this convergence. In our results, random coefficients may be dependent and need not have identical distributions.
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This research was partially supported by the National Security Agency (grant H98230-12-1-0227) and by the AT&T Foundation.
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Pritsker, I.E. Zero distribution of random polynomials. JAMA 134, 719–745 (2018). https://doi.org/10.1007/s11854-018-0023-1
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DOI: https://doi.org/10.1007/s11854-018-0023-1