Erdős distinct distances problem
Template:Short description 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] The current best result was achieved by Larry Guth and Nets Katz in 2015.[3][4][5]
Erdős considered this problem as his "most striking contribution to geometry".[6]
The conjecture
Place n distinct points in a plane. There are distinct pairs between them. Of these pairs, some have the same length, and some have different lengths. The maximum number of different lengths achievable is , using the following points: .
The minimum number of different lengths achievable is more difficult to find. Let this number be Template:Math. Equivalently, it is the smallest possible cardinality of their distance set.
In his 1946 paper, Erdős proved the estimates
for some constant . In big-O notation, .
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 is very close to being tight: holds for every Template:Math, using big Omega notation. More succinctly, .
He further conjectured that the upper bound is exactly tight: , and offered a prize of $500 for either proving or disproving the conjecture.[7]
Partial results
Paul Erdős' 1946 lower bound of Template:Math was successively improved to:
- Template:Math by Leo Moser in 1952,[8]
- Template:Math by Fan Chung in 1984,[9]
- Template:Math by Fan Chung, Endre Szemerédi, and William T. Trotter in 1992,[10]
- Template:Math by László A. Székely in 1993,[11]
- Template:Math by József Solymosi and Csaba D. Tóth in 2001,[12]
- Template:Math by Gábor Tardos in 2003,[13]
- Template:Math by Nets Katz and Gábor Tardos in 2004,[14]
- Template:Math by Larry Guth and Nets Katz in 2015.[3]
Variants
Restricted subsets
Instead of allowing the n distinct points to be placed anywhere in a plane, we can additionally require the points to satisfy constraints. In general, the more stringent the constraints are, the larger gets.
If we require the points to fall on a single line, then by setting the points equally spaced. If we require the points to fall on a single circle, then by setting the points equally spaced around the circle. More generally, if we require the points to form a convex polygon, then . The same, if we require the points to form a strictly convex polygon.[15][16]
If we require the points to be in general position, meaning no 3 points are collinear and no 4 points are cocircular, then it is an open problem. Currently the best result is and .[17]
If we require the points to be in general ,position and no 4 points form a parallelogram, then it is an open problem. Currently the best result is and .[18][17]
See Section 3 of [19] for more problems and results of the kind.
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.[20]
In the other direction, it's known currently that , by applying the recursion relation of [21] to the result of Template:Harvard citation.[19]
Generic norms
The same question can be asked for any normed space. Given a norm , define accordingly. The problem is solved in the generic case. Specifically, given any integer , for almost all norms ,That is, the set of norms that violate this condition is meagre in the set of all norms of , regarded as a metric space, metrized by the Hausdorff distance between the norm-unit balls.[19][22]
See also
References
Further reading
External links
- William Gasarch's page on the problem
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- ↑ 3.0 3.1 Template:Cite journal
- ↑ The Guth-Katz bound on the Erdős distance problem, a detailed exposition of the proof, by Terence Tao
- ↑ Guth and Katz’s Solution of Erdős’s Distinct Distances Problem, a guest post by János Pach on Gil Kalai's blog
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- ↑ 19.0 19.1 19.2 Template:Cite arXiv
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