魔方、对称群和莫比乌斯随机性

Ofir Gorodetsky
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引用次数: 0

摘要

Diaconis和Gamburd计算了CUE集合中的世俗系数矩。我们利用特征映射对他们的结果给出了新的组合证明。我们还将他们的计算扩展到对称幂的迹矩,同样的结果在更大范围内成立。我们的组合证明受到了沃恩和伍利以及格兰维尔和桑达拉拉詹使用的 gcd 矩阵的启发。我们利用这些 CUE 计算提出了一个关于由柳维尔(或莫比乌斯)函数扭曲的字符和的矩的猜想,并在函数域中建立了它的一个版本。我们猜想的寓意(及其在函数场中的验证)是,斯坦豪斯随机乘法函数是由随机狄利克特特征扭转的柳维尔(或莫比乌斯)函数的良好模型。我们还评估了世俗系数的矩和对称幂的迹,对矩阵的大小不设任何条件。作为应用,我们给出了基廷、罗杰斯、罗迪蒂-格申和鲁德尼克在研究 k 折除数函数时考虑过的矩阵积分的新公式。
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Magic squares, the symmetric group and Möbius randomness

Diaconis and Gamburd computed moments of secular coefficients in the CUE ensemble. We use the characteristic map to give a new combinatorial proof of their result. We also extend their computation to moments of traces of symmetric powers, where the same result holds but in a wider range. Our combinatorial proof is inspired by gcd matrices, as used by Vaughan and Wooley and by Granville and Soundararajan. We use these CUE computations to suggest a conjecture about moments of characters sums twisted by the Liouville (or by the Möbius) function, and establish a version of it in function fields. The moral of our conjecture (and its verification in function fields) is that the Steinhaus random multiplicative function is a good model for the Liouville (or for the Möbius) function twisted by a random Dirichlet character. We also evaluate moments of secular coefficients and traces of symmetric powers, without any condition on the size of the matrix. As an application we give a new formula for a matrix integral that was considered by Keating, Rodgers, Roditty-Gershon and Rudnick in their study of the k-fold divisor function.

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