72 research outputs found

    A note on the Liouville function in short intervals

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    In this note we give a short and self-contained proof that, for any δ>0\delta > 0, xnx+xδλ(n)=o(xδ)\sum_{x \leq n \leq x+x^\delta} \lambda(n) = o(x^\delta) for almost all x[X,2X]x \in [X, 2X]. We also sketch a proof of a generalization of such a result to general real-valued multiplicative functions. Both results are special cases of results in our more involved and lengthy recent pre-print.Comment: 12 pages, expository not

    Large deviations in Selberg's central limit theorem

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    Following Selberg it is known that as T → ∞, [formula] uniformly for Δ ≤ (log log log T)^((1/2) - ε). We extend the range of Δ to Δ « (log log T)^((1/10) - ε). We also speculate on the size of the largest Δ for which the above normal approximation can hold and on the correct approximation beyond this point

    Limitations to mollifying ζ(s)

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    We establish limitations to how well one can mollify the Riemann zeta-function on the critical line with mollifiers of arbitrary length. Our result gives a non-trivial lower bound for the contribution of the off-diagonal terms to mollified moments of ζ(s). On the Riemann Hypothesis, we establish a connection between the mollified moment and Montgomery's Pair Correlation Function

    Correlations of the von Mangoldt and higher divisor functions II. Divisor correlations in short ranges

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    We study the problem of obtaining asymptotic formulas for the sums X<n2Xdk(n)dl(n+h)\sum_{X < n \leq 2X} d_k(n) d_l(n+h) and X<n2XΛ(n)dk(n+h)\sum_{X < n \leq 2X} \Lambda(n) d_k(n+h), where Λ\Lambda is the von Mangoldt function, dkd_k is the kthk^{\operatorname{th}} divisor function, XX is large and kl2k \geq l \geq 2 are real numbers. We show that for almost all h[H,H]h \in [-H, H] with H=(logX)10000klogkH = (\log X)^{10000 k \log k}, the expected asymptotic estimate holds. In our previous paper we were able to deal also with the case of Λ(n)Λ(n+h)\Lambda(n) \Lambda(n + h) and we obtained better estimates for the error terms at the price of having to take H=X8/33+εH = X^{8/33 + \varepsilon}.Comment: 46 pages; incorporated referee comments and corrected a few additional typo
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