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Erdős distinct distances problem
Problem in discrete geometry From Wikipedia, the free encyclopedia
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In discrete geometry, the Erdős distinct distances problem states that every set of points in the plane has a nearly-linear number of distinct distances. It was posed by Paul Erdős in 1946[1][2] and almost proven by Larry Guth and Nets Katz in 2015.[3][4][5]
The conjecture
Summarize
Perspective
In what follows let g(n) denote the minimal number of distinct distances between n points in the plane, or equivalently the smallest possible cardinality of their distance set. In his 1946 paper, Erdős proved the estimates
for some constant . The lower bound was given by an easy argument. The upper bound is given by a square grid. For such a grid, there are numbers below n which are sums of two squares, expressed in big O notation; see Landau–Ramanujan constant. Erdős conjectured that the upper bound was closer to the true value of g(n), and specifically that (using big Omega notation) holds for every c < 1.
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Partial results
Paul Erdős' 1946 lower bound of g(n) = Ω(n1/2) was successively improved to:
- g(n) = Ω(n4/5/log n) by Fan Chung, Endre Szemerédi, and William T. Trotter in 1992,[8]
- g(n) = Ω(n4/5) by László A. Székely in 1993,[9]
- g(n) = Ω(n6/7) by József Solymosi and Csaba D. Tóth in 2001,[10]
- g(n) = Ω(n(4e/(5e − 1)) − ɛ) by Gábor Tardos in 2003,[11]
- g(n) = Ω(n((48 − 14e)/(55 − 16e)) − ɛ) by Nets Katz and Gábor Tardos in 2004,[12]
- g(n) = Ω(n/log n) by Larry Guth and Nets Katz in 2015.[3]
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Higher dimensions
Erdős also considered the higher-dimensional variant of the problem: for let denote the minimal possible number of distinct distances among points in -dimensional Euclidean space. He proved that and and conjectured that the upper bound is in fact sharp, i.e., . József Solymosi and Van H. Vu obtained the lower bound in 2008.[13]
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See also
References
External links
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