Convolutions with probability distributions, zeros of L-functions, and the least quadratic nonresidue
Abstract
Let d be a probability distribution. Under certain mild conditions we show that x∞xΣn=1∞ d*n(x)n=1, d*n:=\,d*d*·s*d\,n times. For a compactly supported distribution d, we show that if c>0 is a given constant and the function f(k):= d(k)-1 does not vanish on the line \k∈ C:\,k=-c\, where d is the Fourier transform of d, then one has the asymptotic expansion Σn=1∞d*n(x)n=1x(1+Σk m(k) e-ikx+O(e-c x)) (x +∞), where the sum is taken over those zeros k of f that lie in the strip \k∈ C:-c<\,k<0\, m(k) is the multiplicity of any such zero, and the implied constant depends only on c. For a given distribution d of this type, we briefly describe the location of the zeros k of f in the lower half-plane \k∈ C:\,k<0\. For an odd prime p, let n0(p) be the least natural number such that (n|p)=-1, where (·|p) is the Legendre symbol. As an application of our work on probability distributions, in this paper we generalize a well known result of Heath-Brown concerning the behavior of the Dirichlet L-function L(s,(·|p)) under the assumption that the Burgess bound n0(p) p1/(4e)+ε cannot be improved.
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