Non universality for the variance of the number of real roots of random trigonometric polynomials
V Bally, L Caramellino, G Poly - Probability Theory and Related Fields, 2019 - Springer
In this article, we consider the following family of random trigonometric polynomials p_n (t,
Y)= ∑ _ k= 1^ n Y_ k^ 1\cos (kt)+ Y_ k^ 2\sin (kt) pn (t, Y)=∑ k= 1 n Y k 1 cos (kt)+ Y k 2 sin …
Y)= ∑ _ k= 1^ n Y_ k^ 1\cos (kt)+ Y_ k^ 2\sin (kt) pn (t, Y)=∑ k= 1 n Y k 1 cos (kt)+ Y k 2 sin …
Universality of the nodal length of bivariate random trigonometric polynomials
J Angst, VH Pham, G Poly - Transactions of the American Mathematical …, 2018 - ams.org
We consider random trigonometric polynomials of the form\[f_n (x, y)=\sum _ {1\le k, l\le n} a_
{k, l}\cos (kx)\cos (ly),\] where the entries $(a_ {k, l}) _ {k, l\ge 1} $ are iid random variables …
{k, l}\cos (kx)\cos (ly),\] where the entries $(a_ {k, l}) _ {k, l\ge 1} $ are iid random variables …
Roots of random functions: a framework for local universality
We investigate the local distribution of roots of random functions of the form $ F_n (z)=\sum_
{i= 1}^ n\xi_i\phi_i (z) $, where $\xi_i $ are independent random variables and $\phi_i (z) …
{i= 1}^ n\xi_i\phi_i (z) $, where $\xi_i $ are independent random variables and $\phi_i (z) …
Random trigonometric polynomials: universality and non-universality of the variance for the number of real roots
In this paper, we study the number of real roots of random trigonometric polynomials with iid
coefficients. When the coefficients have zero mean, unit variance and some finite high …
coefficients. When the coefficients have zero mean, unit variance and some finite high …
Variations on Salem–Zygmund results for random trigonometric polynomials: application to almost sure nodal asymptotics
J Angst, G Poly - Electronic Journal of Probability, 2021 - projecteuclid.org
On some probability space (Ω, F, P), we consider two independent sequences (ak) k≥ 1 and
(bk) k≥ 1 of iid random variables that are centered with unit variance and which admit a …
(bk) k≥ 1 of iid random variables that are centered with unit variance and which admit a …
On the real zeros of random trigonometric polynomials with dependent coefficients
J Angst, F Dalmao, G Poly - Proceedings of the American Mathematical …, 2019 - ams.org
We consider random trigonometric polynomials of the form\[f_n (t):=\sum _ {1\le k\le n} a_
{k}\cos (kt)+ b_ {k}\sin (kt),\] whose coefficients $(a_ {k}) _ {k\ge 1} $ and $(b_ {k}) _ {k\ge 1} …
{k}\cos (kt)+ b_ {k}\sin (kt),\] whose coefficients $(a_ {k}) _ {k\ge 1} $ and $(b_ {k}) _ {k\ge 1} …
Limit theorems for random Dirichlet series
D Buraczewski, C Dong, A Iksanov… - Stochastic Processes and …, 2023 - Elsevier
We prove a functional limit theorem in a space of analytic functions for the random Dirichlet
series D (α; z)=∑ n≥ 2 (log n) α (η n+ i θ n)/nz, properly scaled and normalized, where (η n …
series D (α; z)=∑ n≥ 2 (log n) α (η n+ i θ n)/nz, properly scaled and normalized, where (η n …
Expected number of real zeroes of random Taylor series
H Flasche, Z Kabluchko - Communications in Contemporary …, 2020 - World Scientific
Let ξ 0, ξ 1,… be iid random variables with zero mean and unit variance. Consider a random
Taylor series of the form f (z)=∑ k= 0∞ ξ kckzk, where c 0, c 1,… is a real sequence such …
Taylor series of the form f (z)=∑ k= 0∞ ξ kckzk, where c 0, c 1,… is a real sequence such …
Real roots of random orthogonal polynomials with exponential weights
We consider random orthonormal polynomials $$ P_ {n}(x)=\sum_ {i= 0}^{n}\xi_ {i} p_ {i}(x),
$$ where $\xi_ {0} $,..., $\xi_ {n} $ are independent random variables with zero mean, unit …
$$ where $\xi_ {0} $,..., $\xi_ {n} $ are independent random variables with zero mean, unit …
Universality of the minimum modulus for random trigonometric polynomials
It has been shown in a recent work by Yakir-Zeitouni that the minimum modulus of random
trigonometric polynomials with Gaussian coefficients has a limiting exponential distribution …
trigonometric polynomials with Gaussian coefficients has a limiting exponential distribution …