arXiv · 1812.03788
Minimizing GCD sums and applications to non-vanishing of theta functions and to Burgess' inequality
Abstract
In recent years the question of maximizing GCD sums regained interest due to its firm link with large values of $L$-functions. In the present paper we initiate the study of minimizing for positive weights~$w$ of normalized $L^1$- norm the sum $\sum_{m_1 , m_2 \leqslant N} w({m_1})w({m_2})\frac{(m_1,m_2)}{\sqrt{m_1m_2}} $. We consider as well the intertwined question of minimizing a weighted version of the usual multiplicative energy. We give three applications of our results. Firstly we obtain a logarithmic refinement of Burgess' bound on character sums $\displaystyle{\sum_{M 0$, there exists at least $ \gg p/(\log p)^{ \delta+o(1)}$ (with $\delta=1-\frac{1+\log_2 2}{\log 2} \approx 0.08607$) even characters such that $\theta(x,\chi) \neq 0$. Lastly we obtain lower bounds on small moments of character sums.
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Régis de la Bretèche, Marc Munsch. 2018-12-10. Minimizing GCD sums and applications to non-vanishing of theta functions and to Burgess' inequality. https://arxiv.org/abs/1812.03788
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