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Main Authors: Lu, Zhipeng, Meng, Xianchang
Format: Preprint
Published: 2022
Subjects:
Online Access:https://arxiv.org/abs/2211.12682
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_version_ 1866909909654700032
author Lu, Zhipeng
Meng, Xianchang
author_facet Lu, Zhipeng
Meng, Xianchang
contents Since the well-known breakthrough of L. Guth and N. Katz on the Erdos distinct distances problem in the plane, mainstream of interest is aroused by their method and the Elekes-Sharir framework. In short words, they study the second moment in the framework. One may wonder if higher moments would be more efficient. In this paper, we show that any higher moment fails the expectation. In addition, we show that the second moment gives optimal estimate in higher dimensions.
format Preprint
id arxiv_https___arxiv_org_abs_2211_12682
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Asymptotic estimate on the distance energy of lattices
Lu, Zhipeng
Meng, Xianchang
Combinatorics
52C10, 11P21, 20H10
Since the well-known breakthrough of L. Guth and N. Katz on the Erdos distinct distances problem in the plane, mainstream of interest is aroused by their method and the Elekes-Sharir framework. In short words, they study the second moment in the framework. One may wonder if higher moments would be more efficient. In this paper, we show that any higher moment fails the expectation. In addition, we show that the second moment gives optimal estimate in higher dimensions.
title Asymptotic estimate on the distance energy of lattices
topic Combinatorics
52C10, 11P21, 20H10
url https://arxiv.org/abs/2211.12682