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arXiv 1611.06332math.NTmath.PR
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关于高维随机格的广义圆问题

On the generalized circle problem for a random lattice in large dimension

Andreas Strömbergsson, Anders Södergren

摘要:

本文研究了体积为x的球和大维数随机格L的广义圆问题中的误差项R_{n,L}(x)。我们的主要结果是如下的泛函中心极限定理:将任意函数f(n)从正整数固定到正实数直线上,随着n趋于无穷大,但次指数增长。然后,当n趋于无穷大时,区间[0,1]上的随机函数t ->(2f(n))^{-1/2} R_{n,L}(t f(n))在分布上收敛于一维布朗运动。证明通过收敛的时刻,并为计算,我们开发了一个新版本的罗杰斯的平均值公式。对于变量(2f(n))的单个k阶矩^{-1/2} R_{n,L}(f(n)),我们证明了对于满足f(n)<<e^{cn}的函数f收敛到相应的高斯矩,其中c_k是一个依赖于k的常数,我们确定k的最优值。

英文摘要:

In this note we study the error term R_{n,L}(x) in the generalized circle problem for a ball of volume x and a random lattice L of large dimension n. Our main result is the following functional central limit theorem: Fix an arbitrary function f(n) from the positive integers to the positive real line, tending to infinity with n but with subexponential growth. Then, the random function t -> (2f(n))^{-1/2} R_{n,L}(t f(n)) on the interval [0,1] converges in distribution to one-dimensional Brownian motion as n tends to infinity. The proof goes via convergence of moments, and for the computations we develop a new version of Rogers' mean value formula. For the individual k:th moment of the variable (2f(n))^{-1/2} R_{n,L}(f(n)) we prove convergence to the corresponding Gaussian moment more generally for functions f satisfying f(n)<<e^{cn} for any fixed c in an interval 0<c<c_k, where c_k is a constant depending on k whose optimal value we determine.

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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