2016
DOI: 10.1016/j.jnt.2015.08.022
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Burgess bounds for multi-dimensional short mixed character sums

Abstract: Abstract. This paper proves Burgess bounds for short mixed character sums in multidimensional settings. The mixed character sums we consider involve both an exponential evaluated at a real-valued multivariate polynomial f , and a product of multiplicative Dirichlet characters. We combine a multi-dimensional Burgess method with recent results on multi-dimensional Vinogradov Mean Value Theorems for translation-dilation invariant systems in order to prove character sum bounds in k ≥ 1 dimensions that recapture th… Show more

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Cited by 9 publications
(14 citation statements)
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“…In our present setting, we can see from the argument above that to exploit the homogeneity of F we must use the same prime p for each coordinate, leading to a smaller set to average over. Nevertheless, many of the arguments of [Pie16] may be adapted, and thus we will be efficient in our presentation.…”
Section: Initiating the Burgess Argumentmentioning
confidence: 99%
See 3 more Smart Citations
“…In our present setting, we can see from the argument above that to exploit the homogeneity of F we must use the same prime p for each coordinate, leading to a smaller set to average over. Nevertheless, many of the arguments of [Pie16] may be adapted, and thus we will be efficient in our presentation.…”
Section: Initiating the Burgess Argumentmentioning
confidence: 99%
“…Approximations of the additive character contribution. We first pass from T to T inside (3.4), by applying Lemma 3.3 of [Pie16] (an n-dimensional version of [BI86, Lemma 2]), which we recall here:…”
Section: By Lemma 52 Of [Px19]mentioning
confidence: 99%
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“…Similarly, for general quadratic polynomials f (X) = aX 2 + bX , with gcd(a, p) = 1, we can define the double sums Now, using the bound of Burgess [2] on short mixed sums (see [6,8,12] for various generalisations) we easily derive that for any fixed ν = 2, 3, . .…”
Section: Commentsmentioning
confidence: 99%