论文标题

限制晶格问题中的法律。 iii。返回盒子的情况

Limit laws in the lattice problem. III. Return to the case of boxes

论文作者

Trevisan, Julien

论文摘要

我们研究了属于矩形的晶格$ l $点数的误差,该矩形为$ 0 $,其轴平行于坐标轴,由因子$ t $扩张,然后由vector $ x \ in \ mathbb {r}^{r}^{2} $翻译。 When we consider the second order moment of the error relatively to $X \in \mathbb{R}^{2}/L$, one shows that, when $t$ is random and becomes large and when the error is normalized by a quantity which behaves, in the admissible case, as $\sqrt{\log(t)}$, it converges in distribution to an explicit positive constant.在典型的晶格$ l $的情况下,我们表明该结果仍然存在,但标准化更为重要,左右$ \ log(t)$。我们还表明,当$ l = \ mathbb {z}^{2} $时,当$ t $归一化时,当$ t $ native时,当$ t $是随机的时,分配会收敛,并且我们会变大,并且我们计算了极限分布的矩。

We study the error of the number of points of a lattice $L$ that belong to a rectangle, centred at $0$, whose axes are parallel to the coordinate axes, dilated by a factor $t$ and then translated by a vector $X \in \mathbb{R}^{2}$. When we consider the second order moment of the error relatively to $X \in \mathbb{R}^{2}/L$, one shows that, when $t$ is random and becomes large and when the error is normalized by a quantity which behaves, in the admissible case, as $\sqrt{\log(t)}$, it converges in distribution to an explicit positive constant. In the case of a typical lattice $L$, we show that this result still holds but the normalisation is more important, around $\log(t)$. We also show that when $L=\mathbb{Z}^{2}$, the error, when normalized by $t$, converges in distribution when $t$ is random and becomes large and we compute the moments of the limit distribution.

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