基于傅里叶优化的对相关猜想的q-模拟

Oscar E. Quesada-Herrera
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引用次数: 1

摘要

我们研究了Montgomery函数F(\alpha, T)$在有界区间内的平均值的$q$-模拟。假设Dirichlet $L$-函数的广义黎曼假设,我们得到了这个平均值在一个非常接近点推测值1的区间内的上界和下界。为了计算我们的边界,我们扩展了Carneiro, Chandee, Chirre和Milinovich的傅里叶分析方法,并应用了非光滑规划的计算方法。
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On the q-analogue of the Pair Correlation Conjecture via Fourier optimization
We study the $q$-analogue of the average of Montgomery's function $F(\alpha, T)$ over bounded intervals. Assuming the Generalized Riemann Hypothesis for Dirichlet $L$-functions, we obtain upper and lower bounds for this average over an interval that are quite close to the pointwise conjectured value of 1. To compute our bounds, we extend a Fourier analysis approach by Carneiro, Chandee, Chirre, and Milinovich, and apply computational methods of non-smooth programming.
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