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Distinct Distance Estimates and Low Degree Polynomial Partitioning

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Abstract

We give a shorter proof of a slightly weaker version of a theorem from Guth and Katz (Ann Math 181:155–190, 2015): we prove that if \(\mathfrak {L}\) is a set of \(L\) lines in \(\mathbb {R}^3\) with at most \(L^{1/2}\) lines in any low degree algebraic surface, then the number of \(r\)-rich points of \(\mathfrak {L}\) is \(\lesssim L^{(3/2) + \varepsilon } r^{-2}\). This result is one of the main ingredients in the proof of the distinct distance estimate in Guth and Katz (2015). With our slightly weaker theorem, we get a slightly weaker distinct distance estimate: any set of \(N\) points in \(\mathbb {R}^2\) determines at least \(c_{\varepsilon } N^{1 -{\varepsilon }}\) distinct distances.

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Acknowledgments

I would like to thank Nets Katz for many interesting discussions about these ideas over the last several years. I would also like to thank the referee for helpful suggestions about the exposition.

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Correspondence to Larry Guth.

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Guth, L. Distinct Distance Estimates and Low Degree Polynomial Partitioning. Discrete Comput Geom 53, 428–444 (2015). https://doi.org/10.1007/s00454-014-9648-8

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