A homogeneous method in summation with log factors and its application
Zhipeng Lu

TL;DR
This paper presents a homogeneous method for summations with log factors and applies it to analyze the asymptotics of distance energy in square lattices, contributing to the understanding of Erdős's distinct distances conjecture.
Contribution
It introduces a new homogeneous summation method with log factors and applies it to a geometric problem related to Erdős's conjecture.
Findings
Derived asymptotic main terms for distance energy in square lattices
Connected summation techniques with geometric distance problems
Provided insights towards Erdős's distinct distances conjecture
Abstract
We introduce a homogeneous method to deal with summations with homogeneous factors. Then we use it to compute main terms in the asymptotics of distance energy of square lattices in circles, which relates to the conjecture of distinct distances by Erdos.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics · Analytic Number Theory Research
