Standard

On the supremum of random Dirichlet polynomials. / Lifshits, Mikhail; Weber, Michel.

в: Studia Mathematica, Том 182, № 1, 07.12.2007, стр. 41-65.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Lifshits, M & Weber, M 2007, 'On the supremum of random Dirichlet polynomials', Studia Mathematica, Том. 182, № 1, стр. 41-65. https://doi.org/10.4064/sm182-1-3

APA

Vancouver

Lifshits M, Weber M. On the supremum of random Dirichlet polynomials. Studia Mathematica. 2007 Дек. 7;182(1):41-65. https://doi.org/10.4064/sm182-1-3

Author

Lifshits, Mikhail ; Weber, Michel. / On the supremum of random Dirichlet polynomials. в: Studia Mathematica. 2007 ; Том 182, № 1. стр. 41-65.

BibTeX

@article{ae08f25e6024483daac5b5d7f8d49c57,
title = "On the supremum of random Dirichlet polynomials",
abstract = "We study the supremum of some random Dirichlet polynomials D N(t) = Σ N n=2=2 ε nd nn- σ-it, where (ε n) is a sequence of independent Rademacher random variables, the weights (d n) are multiplicative and 0 ≤ σ < 1/2. Particular attention is given to the polynomials Σ n∈ετ = {2 ≤ n ≤ N:P +(n) ≤ p τ}, P +(n) being the largest prime divisor of n. We obtain sharp upper and lower bounds for the supremum expectation that extend the optimal estimate of Hal{\'a}sz-Queff{\'e}lec, double-script E sign sup t∈ℝ|Σ N n=2 εn n-σ-it| ≈ N 1-σ/ logN The proofs are entirely based on methods of stochastic processes, in particular the metric entropy method.",
keywords = "Dirichlet polynomials, Metric entropy method, Rademacher random variables",
author = "Mikhail Lifshits and Michel Weber",
year = "2007",
month = dec,
day = "7",
doi = "10.4064/sm182-1-3",
language = "English",
volume = "182",
pages = "41--65",
journal = "Studia Mathematica",
issn = "0039-3223",
publisher = "Instytut Matematyczny",
number = "1",

}

RIS

TY - JOUR

T1 - On the supremum of random Dirichlet polynomials

AU - Lifshits, Mikhail

AU - Weber, Michel

PY - 2007/12/7

Y1 - 2007/12/7

N2 - We study the supremum of some random Dirichlet polynomials D N(t) = Σ N n=2=2 ε nd nn- σ-it, where (ε n) is a sequence of independent Rademacher random variables, the weights (d n) are multiplicative and 0 ≤ σ < 1/2. Particular attention is given to the polynomials Σ n∈ετ = {2 ≤ n ≤ N:P +(n) ≤ p τ}, P +(n) being the largest prime divisor of n. We obtain sharp upper and lower bounds for the supremum expectation that extend the optimal estimate of Halász-Queffélec, double-script E sign sup t∈ℝ|Σ N n=2 εn n-σ-it| ≈ N 1-σ/ logN The proofs are entirely based on methods of stochastic processes, in particular the metric entropy method.

AB - We study the supremum of some random Dirichlet polynomials D N(t) = Σ N n=2=2 ε nd nn- σ-it, where (ε n) is a sequence of independent Rademacher random variables, the weights (d n) are multiplicative and 0 ≤ σ < 1/2. Particular attention is given to the polynomials Σ n∈ετ = {2 ≤ n ≤ N:P +(n) ≤ p τ}, P +(n) being the largest prime divisor of n. We obtain sharp upper and lower bounds for the supremum expectation that extend the optimal estimate of Halász-Queffélec, double-script E sign sup t∈ℝ|Σ N n=2 εn n-σ-it| ≈ N 1-σ/ logN The proofs are entirely based on methods of stochastic processes, in particular the metric entropy method.

KW - Dirichlet polynomials

KW - Metric entropy method

KW - Rademacher random variables

UR - http://www.scopus.com/inward/record.url?scp=36649010806&partnerID=8YFLogxK

U2 - 10.4064/sm182-1-3

DO - 10.4064/sm182-1-3

M3 - Article

AN - SCOPUS:36649010806

VL - 182

SP - 41

EP - 65

JO - Studia Mathematica

JF - Studia Mathematica

SN - 0039-3223

IS - 1

ER -

ID: 37010034