The Central Limit Theorem for Subsequences in Probabilistic Number Theory
Canadian journal of mathematics, Tome 64 (2012) no. 6, pp. 1201-1221
Voir la notice de l'article provenant de la source Cambridge
Let ${{\left( {{n}_{k}} \right)}_{k\ge 1}}$ be an increasing sequence of positive integers, and let $f\left( x \right)$ be a real function satisfying 1 $$f\left( x+1 \right)=f\left( x \right),\int\limits_{0}^{1}{f\left( x \right)}dx=0,\text{Va}{{\text{r}}_{\left[ 0,1 \right]}}f<\infty $$ If ${{\lim }_{k\to \infty }}\frac{{{n}_{k+1}}}{{{n}_{k}}}=\infty $ the distribution of 2 $$\frac{\sum\nolimits_{k=1}^{N}{f\left( {{n}_{k}}x \right)}}{\sqrt{N}}$$ converges to a Gaussian distribution. In the case $$1<\underset{k\to \infty }{\mathop{\lim \inf }}\,\,\frac{{{n}_{k+1}}}{{{n}_{k}}},\,\,\underset{k\to \infty }{\mathop{\text{lim}\,\text{sup}}}\,\,\frac{{{n}_{k+1}}}{{{n}_{k}}}<\infty$$ there is a complex interplay between the analytic properties of the function $f$ , the number-theoretic properties of ${{\left( {{n}_{k}} \right)}_{k\ge 1}}$ , and the limit distribution of (2).In this paper we prove that any sequence ${{\left( {{n}_{k}} \right)}_{k\ge 1}}$ satisfying $\lim {{\sup }_{k\to \infty }}{{n}_{k+1}}/{{n}_{k}}=1$ contains a nontrivial subsequence ${{\left( {{m}_{k}} \right)}_{k\ge 1}}$ such that for any function satisfying (1) the distribution of $$\frac{\sum\nolimits_{k=1}^{N}{f\left( {{m}_{k}}x \right)}}{\sqrt{N}}$$ converges to a Gaussian distribution. This result is best possible: for any $\varepsilon >0$ there exists a sequence ${{\left( {{n}_{k}} \right)}_{k\ge 1}}$ satisfying lim $\underset{k\to \infty }{\mathop{\sup }}\,\frac{{{n}_{k+1}}}{{{n}_{k}}}\le 1+\varepsilon$ such that for every nontrivial subsequence ${{\left( {{m}_{k}} \right)}_{k\ge 1}}$ of ${{\left( {{n}_{k}} \right)}_{k\ge 1}}$ the distribution of (2) does not converge to a Gaussian distribution for some $f$ .Our result can be viewed as a Ramsey type result: a sufficiently dense increasing integer sequence contains a subsequence having a certain requested number-theoretic property.
Mots-clés :
60F05, 42A55, 11D04, 05C55, 11K06, central limit theorem, lacunary sequences, linear Diophantine equations, Ramsey type theorem
Aistleitner, Christoph; Elsholtz, Christian. The Central Limit Theorem for Subsequences in Probabilistic Number Theory. Canadian journal of mathematics, Tome 64 (2012) no. 6, pp. 1201-1221. doi: 10.4153/CJM-2011-074-1
@article{10_4153_CJM_2011_074_1,
author = {Aistleitner, Christoph and Elsholtz, Christian},
title = {The {Central} {Limit} {Theorem} for {Subsequences} in {Probabilistic} {Number} {Theory}},
journal = {Canadian journal of mathematics},
pages = {1201--1221},
year = {2012},
volume = {64},
number = {6},
doi = {10.4153/CJM-2011-074-1},
url = {http://geodesic.mathdoc.fr/articles/10.4153/CJM-2011-074-1/}
}
TY - JOUR AU - Aistleitner, Christoph AU - Elsholtz, Christian TI - The Central Limit Theorem for Subsequences in Probabilistic Number Theory JO - Canadian journal of mathematics PY - 2012 SP - 1201 EP - 1221 VL - 64 IS - 6 UR - http://geodesic.mathdoc.fr/articles/10.4153/CJM-2011-074-1/ DO - 10.4153/CJM-2011-074-1 ID - 10_4153_CJM_2011_074_1 ER -
%0 Journal Article %A Aistleitner, Christoph %A Elsholtz, Christian %T The Central Limit Theorem for Subsequences in Probabilistic Number Theory %J Canadian journal of mathematics %D 2012 %P 1201-1221 %V 64 %N 6 %U http://geodesic.mathdoc.fr/articles/10.4153/CJM-2011-074-1/ %R 10.4153/CJM-2011-074-1 %F 10_4153_CJM_2011_074_1
Cité par Sources :