Bivariate fluctuations for the number of arithmetic progressions in random sets

被引:3
|
作者
Barhoumi-Andreani, Yacine [1 ]
Koch, Christoph [2 ]
Liu, Hong [3 ,4 ]
机构
[1] Ruhr Univ Bochum, Fak Math, Univ Str 150, D-44780 Bochum, Germany
[2] Univ Oxford, Dept Stat, St Giles 24-29, Oxford OX1 3LB, England
[3] Univ Warwick, Math Inst, Coventry CV4 7AL, W Midlands, England
[4] Univ Warwick, DIMAP, Coventry CV4 7AL, W Midlands, England
来源
基金
英国工程与自然科学研究理事会; 欧洲研究理事会; 英国科研创新办公室;
关键词
arithmetic progression; central limit theorem; bivariate fluctuations; method of moments; exploration process; DISTRIBUTIONS; CONVERGENCE; SUBGRAPHS;
D O I
10.1214/19-EJP391
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We study arithmetic progressions {a, a + b, a + 2b, ..., a + (l- 1)b}, with l >= 3, in random subsets of the initial segment of natural numbers [n] := {1, 2, ..., n}. Given p is an element of [0, 1] we denote by [n](p) the random subset of [n] which includes every number with probability p, independently of one another. The focus lies on sparse random subsets, i.e. when p = p(n) = o(1) as n -> +infinity. Let X-l denote the number of distinct arithmetic progressions of length l which are contained in [n](p). We determine the limiting distribution for X-l not only for fixed l >= 3 but also when l = l(n) -> +infinity with l = o(log n). The main result concerns the joint distribution of the pair (X-l, X-l',), l > l', for which we prove a bivariate central limit theorem for a wide range of p. Interestingly, the question of whether the limiting distribution is trivial, degenerate, or non-trivial is characterised by the asymptotic behaviour (as n -> +infinity) of the threshold function psi(l) = psi(l)(n) := np(l-1) l. The proofs are based on the method of moments and combinatorial arguments, such as an algorithmic enumeration of collections of arithmetic progressions.
引用
收藏
页数:32
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