A uniform semi-local limit theorem along sets of multiples for sums of i.i.d. random variables
Abstract
Let X be a square integrable random variable with basic probability space (, , ), taking values in a lattice L(v0,1)=\vk=v0+ k,k∈ \ and such that X =Σk∈ \X=vk\ \X=vk+1\>0. Let Xi, i 1 be independent, identically distributed random variables having same law than X, and let Sn=Σj=1nXj, for each n. Let k 0 be such that = Σk∈ k verifies 1- X<<1, noting that X< 1 always. Further let =1-, s(t) =Σk∈ k\, e 2i π vkt and be such that 1-<<1. We prove the following uniform semi-local theorems for the class F=\Fd, d 2\, where Fd= d. (i) There exists θ=θ(,) with 0< θ <, C and N such that for n N, align* u 0\,d 2 | \ Sn+u∈ Fd \ - 1 d- 1 dΣ 0< ||<d & ( e (iπ d - π22 2 d2) \, \,e2i π d X +s( d ))n | & C θ 3/2\ ( n)5/2 n3/2+2n. align* 1 pt (ii) Let D be a test set of divisors 2, D be the section of D at height and | D| denote its cardinality. Then, eqnarray* Σn=N∞ \ u 0 \, 2\, 1 | D | Σd∈ D \,| \d|Sn+u \ - 1 d| & & C1 \, + C2 θ 3/2 +221-. eqnarray*
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