Incidences between points and lines in three dimensions

Micha Sharir*, Noam Solomon

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

We give a fairly elementary and simple proof that shows that the number of incidences between m points and n lines in R3, so that no plane contains more than s lines, is O (m1/2n3/4 + m2/3n1/3s1/3 + m + n) (in the precise statement, the constant of proportionality of the first and third terms depends, in a rather weak manner, on the relation between m and n). This bound, originally obtained by Guth and Katz (Ann Math 181:155–190, 2015, [10]) as a major step in their solution of Erdős’s distinct distances problem, is also a major new result in incidence geometry, an area that has picked up considerable momentum in the past decade. Its original proof uses fairly involved machinery from algebraic and differential geometry, so it is highly desirable to simplify the proof, in the interest of better understanding the geometric structure of the problem, and providing new tools for tackling similar problems. This has recently been undertaken by Guth (Discrete Comput Geom 53(2):428–444, 2015, [8]). The present paper presents a different and simpler derivation, with better bounds than those in Guth, and without the restrictive assumptions made there. Our result has a potential for applications to other incidence problems in higher dimensions.

Original languageEnglish
Title of host publicationBolyai Society Mathematical Studies
PublisherSpringer Berlin Heidelberg
Pages359-383
Number of pages25
DOIs
StatePublished - 2018

Publication series

NameBolyai Society Mathematical Studies
Volume27
ISSN (Print)1217-4696

Funding

FundersFunder number
Hermann Minkowski-MINERVA Center for Geometry
United States-Israel Binational Science Foundation
Israel Science Foundation2012/229, 892/13
Tel Aviv University
Israeli Centers for Research Excellence4/11

    Fingerprint

    Dive into the research topics of 'Incidences between points and lines in three dimensions'. Together they form a unique fingerprint.

    Cite this