74 research outputs found
P\'olya-Vinogradov and the least quadratic nonresidue
It is well-known that cancellation in short character sums (e.g. Burgess'
estimates) yields bounds on the least quadratic nonresidue. Scant progress has
been made on short character sums since Burgess' work, so it is desirable to
find a new approach to nonresidues. The goal of this note is to demonstrate a
new line of attack via long character sums, a currently active area of
research. Among other results, we demonstrate that improving the constant in
the P\'{o}lya-Vinogradov inequality would lead to significant progress on
nonresidues. Moreover, conditionally on a conjecture on long character sums, we
show that the least nonresidue for any odd primitive character (mod ) is
bounded by .Comment: 9 pages; a few small corrections from the previous versio
The distribution of the maximum of character sums
We obtain explicit bounds on the moments of character sums, refining
estimates of Montgomery and Vaughan. As an application we obtain results on the
distribution of the maximal magnitude of character sums normalized by the
square root of the modulus, finding almost double exponential decay in the tail
of this distribution.Comment: 16 pages, 1 figure, new version with correction
Factorial ratios, hypergeometric series, and a family of step functions
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135221/1/jlms0422.pd
On a discrete version of Tanaka's theorem for maximal functions
In this paper we prove a discrete version of Tanaka's Theorem \cite{Ta} for
the Hardy-Littlewood maximal operator in dimension , both in the
non-centered and centered cases. For the discrete non-centered maximal operator
we prove that, given a function
of bounded variation,
where represents the total variation of . For the discrete
centered maximal operator we prove that, given a function such that , This provides a positive solution to a question
of Haj{\l}asz and Onninen \cite{HO} in the discrete one-dimensional case.Comment: V4 - Proof of Lemma 3 update
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