Andrei Martínez-Finkelshtein and Evguenii A.
Rakhmanov
Vol. 19 (2026), No. 7, 1417–1445
DOI: 10.2140/apde.2026.19.1417
Abstract
For a monic polynomial
of degree
,
let
be
its
-th
derivative normalized to be monic. Under the only assumption that the sequence
has a weak-*
limiting zero distribution (an empirical distribution of zeros) represented by a probability
measure
with compact support in the complex plane, we show that, as
such
that
,
the Cauchy transform of the normalized zero-counting measure of the polynomials
converges in a neighborhood of infinity to an analytic function, uniquely determined
by
and
,
that can be written as the Cauchy transform of a measure
, not necessarily uniquely
determined unless
is supported on the real line.
The family of these Cauchy transforms and, when well defined, the corresponding
measures
,
, whose dependence
on the parameter
can be interpreted as a flow of the zeros under iterated differentiation, has several
interesting connections with the inviscid Burgers equation, the fractional free convolution
of
,
or a nonlocal diffusion equation governing the density of
on
.
We provide an elementary and unified approach that not only recovers but also
explains various phenomena observed in prior works — from Burgers-type PDEs to
free probability limits.
Keywords
polynomials, zeros, empirical distribution of zeros, weak
convergence, inviscid Burgers equation, free probability