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arXiv 1502.05939math.PR
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基于数论的若干随机模型的局部极限定理

Local Limit Theorems in some Random models from Number Theory

Rita Giuliano, Michel Weber

摘要:

研究了Bernoulli变量加权和的局部极限定理。我们的例子表明,这是一个重要的问题,在一般理论的局部极限定理,而这原来是没有得到很好的探讨。我们考虑的例子来自算术数论中使用的标准随机模型。接下来我们用特征函数方法证明了Bernoulli变量加权和的新的局部极限定理。此外,我们给出了几乎处处局部极限定理的一个表示问题,在加性数论由于伯尔,使用适当的随机模型的应用。我们还给出了一个简单的例子表明,局部极限定理,在其标准形式,没有足够的尖锐估计概率$P\{S_n\in E\}$为无穷多组整数$E$,已经在简单的情况下,其中$S_n$是一个$n$独立的标准伯努利随机变量和$E$一个等差数列。

英文摘要:

We study the local limit theorem for weighted sums of Bernoulli variables. We show on examples that this is an important question in the general theory of the local limit theorem, and which turns up to be not well explored. The examples we consider arise from standard random models used in arithmetical number theory. We next use the characteristic function method to prove new local limit theorems for weighted sums of Bernoulli variables. Further, we give an application of the almost sure local limit theorem to a representation problem in additive number theory due to Burr, using an appropriate random model. We also give a simple example showing that the local limit theorem, in its standard form, fails to be sharp enough for estimating the probability $P\{S_n\in E\}$ for infinite sets of integers $E$, already in the simple case where $S_n$ is a sum of $n$ independent standard Bernoulli random variables and $E$ an arithmetic progression.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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