Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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 изданиях › статья › Рецензирование
}
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