Random BernsteinMarkov factors
Speaker 
Dr. Koushik Ramachandran
TIFRCAM, Bangalore


When 
Nov 19, 2018
from 03:15 PM to 04:15 PM 
Where  LH 006 
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Abstract: For a polynomial \(P_n\)of degree n, Bernstein's inequality states that \(\P_n'\ \le n \P_n\\) for all \(L^p\) norms on the unit circle \(0<p\le\infty,\) with equality for \(P_n(z)= c z^n.\) We study this inequality for random polynomials, and show that the expected (average) and almost sure value of \(\ P_n' \ /\ P_n\\) is often different from the classical deterministic upper bound n. In particular, for circles of radii less than one, the ratio \(\ P_n' \/\ P_n\ \) is almost surely bounded as n tends to infinity, and its expected value is uniformly bounded for all degrees under mild assumptions on the random coefficients. For sup norm on the unit circle, it was known earlier that the asymptotic value of \(\ P_n' \ / \ P_n \ \) in probability is \(n/\sqrt{3},\) and we strengthen this to almost sure limit for \(p=2\). If the radius R of the circle is larger than one, then the asymptotic value of \(\ P_n' \ /\ P_n\\)in probability \(in/R,\) matching the sharp upper bound for the deterministic case. We also obtain bounds for the case \(p=\infty\) on the unit circle. Based on joint work with Igor Pritsker.