Erdős distinct distances problem

From HandWiki
Short description: Problem in discrete geometry

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 12(n2n) 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 12(n2n), using the following points: (0,0),(0,1),(0,3),(0,7),,(0,2n11).

The minimum number of different lengths achievable is more difficult to find. Let this number be g(n). Equivalently, it is the smallest possible cardinality of their distance set.

In his 1946 paper, Erdős proved the estimates

n3/41/2g(n)cn/logn

for some constant c. In big-O notation, gO(n/logn).

The lower bound was given by an easy argument. The upper bound is given by a n×n square grid. For such a grid, there are O(n/logn) numbers below n which are sums of two squares, expressed in big O notation; see Landau–Ramanujan constant.

Erdős conjectured that the upper bound O(n/logn) is very close to being tight: g(n)=Ω(nc) holds for every c < 1, using big Omega notation. More succinctly, g(n)Ω*(n).

He further conjectured that the upper bound is exactly tight: g(n)=Θ(n/logn), and offered a prize of $500 for either proving or disproving the conjecture.[7]

Partial results

Paul Erdős' 1946 lower bound of g(n) = Ω(n1/2) was successively improved to:

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 g gets.

If we require the points to fall on a single line, then gline(n)=n1 by setting the points equally spaced. If we require the points to fall on a single circle, then gcircle(n)=n/2 by setting the points equally spaced around the circle. More generally, if we require the points to form a convex polygon, then gconvex(n)=n/2. 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 ggen(n)Ω(n) and ggenn2O(logn).[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 gpara(n)Ω(n) and gparaO(n2/logn).[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 d3 let gd(n) denote the minimal possible number of distinct distances among n points in d-dimensional Euclidean space. He proved that gd(n)=Ω(n1/d) and gd(n)=O(n2/d) and conjectured that the upper bound is in fact sharp, i.e., gd(n)=Θ(n2/d). József Solymosi and Van H. Vu obtained the lower bound gd(n)=Ω(n2/d2/d(d+2)) in 2008.[20]

In the other direction, it's known currently that g3(n)Ω*(n3/5), by applying the recursion relation of [21] to the result g2(n)Ω*(n) of (Guth Katz).[19]

Generic norms

The same question can be asked for any normed space. Given a norm , define g(n) accordingly. The problem is solved in the generic case. Specifically, given any integer d2, for almost all norms ,g(n)=(1o(1))nThat is, the set of norms that violate this condition is meagre in the set of all norms of d, regarded as a metric space, metrized by the Hausdorff distance between the norm-unit balls.[19][22]

See also

References

  1. "On sets of distances of n points". American Mathematical Monthly 53 (5): 248–250. 1946. doi:10.2307/2305092. http://www.renyi.hu/~p_erdos/1946-03.pdf. 
  2. Garibaldi, Julia; Iosevich, Alex; Senger, Steven (2011), The Erdős Distance Problem, Student Mathematical Library, 56, Providence, RI: American Mathematical Society, ISBN 978-0-8218-5281-1 
  3. 3.0 3.1 "On the Erdős distinct distances problem in the plane". Annals of Mathematics 181 (1): 155–190. 2015. doi:10.4007/annals.2015.181.1.2. 
  4. The Guth-Katz bound on the Erdős distance problem, a detailed exposition of the proof, by Terence Tao
  5. Guth and Katz’s Solution of Erdős’s Distinct Distances Problem, a guest post by János Pach on Gil Kalai's blog
  6. Erdős, Paul (1996). "On some of my favourite theorems". Combinatorics, Paul Erdos is Eighty 0: 97–132. https://cir.nii.ac.jp/crid/1570291224709357952. 
  7. Erdős, Paul (1995). "Some of my favourite problems in number theory, combinatorics, and geometry" (in en). Resenhas do Instituto de Matemática e Estatística da Universidade de São Paulo 2 (2): 165–186. https://www.ime.usp.br/~yoshi/resenhas/abstracts/Erdos.pdf. 
  8. "On the different distances determined by n points". American Mathematical Monthly 59 (2): 85–91. 1952. doi:10.2307/2307105. 
  9. "The number of different distances determined by n points in the plane". Journal of Combinatorial Theory. Series A 36 (3): 342–354. 1984. doi:10.1016/0097-3165(84)90041-4. http://www.math.ucsd.edu/~fan/mypaps/fanpap/67distances.pdf. 
  10. "The number of different distances determined by a set of points in the Euclidean plane". Discrete & Computational Geometry 7: 342–354. 1992. doi:10.1007/BF02187820. http://www.math.ucsd.edu/~fan/wp/124distances.pdf. 
  11. Székely, László A. (1993). "Crossing numbers and hard Erdös problems in discrete geometry". Combinatorics, Probability and Computing 11 (3): 1–10. doi:10.1017/S0963548397002976. 
  12. "Distinct Distances in the Plane". Discrete & Computational Geometry 25 (4): 629–634. 2001. doi:10.1007/s00454-001-0009-z. 
  13. "On distinct sums and distinct distances". Advances in Mathematics 180 (1): 275–289. 2003. doi:10.1016/s0001-8708(03)00004-5. 
  14. Pach, János, ed (2004). "A new entropy inequality for the Erdős distance problem". Towards a theory of geometric graphs. Contemporary Mathematics. 342. Providence, RI: American Mathematical Society. pp. 119–126. doi:10.1090/conm/342/06136. ISBN 978-0-8218-3484-8. 
  15. Altman, E. (February 1963). "On a Problem of P. Erdös" (in en). The American Mathematical Monthly 70 (2): 148–157. doi:10.1080/00029890.1963.11990057. ISSN 0002-9890. https://www.tandfonline.com/doi/full/10.1080/00029890.1963.11990057. 
  16. Altman, E. (September 1972). "Some Theorems on Convex Polygons" (in en). Canadian Mathematical Bulletin 15 (3): 329–340. doi:10.4153/CMB-1972-060-0. https://doi.org/10.4153/CMB-1972-060-0. 
  17. 17.0 17.1 Erdős, Paul; Füredi, Zoltán; Pach, János; Ruzsa, Imre Z. (February 1993). "The grid revisted" (in en). Discrete Mathematics 111 (1–3): 189–196. doi:10.1016/0012-365X(93)90155-M. https://linkinghub.elsevier.com/retrieve/pii/0012365X9390155M. 
  18. Dumitrescu, Adrian (December 2008). "On distinct distances among points in general position and other related problems" (in en). Periodica Mathematica Hungarica 57 (2): 165–176. doi:10.1007/s10998-008-8165-4. ISSN 0031-5303. http://link.springer.com/10.1007/s10998-008-8165-4. 
  19. 19.0 19.1 19.2 Sheffer, Adam (2018-07-02). "Distinct Distances: Open Problems and Current Bounds". arXiv:1406.1949v3 [math.CO].
  20. "Near optimal bounds for the Erdős distinct distances problem in high dimensions". Combinatorica 28: 113–125. 2008. doi:10.1007/s00493-008-2099-1. 
  21. Solymosi, József; Vu, Van H. (2008-01-01). "Near optimal bounds for the Erdős distinct distances problem in high dimensions" (in en). Combinatorica 28 (1): 113–125. doi:10.1007/s00493-008-2099-1. ISSN 1439-6912. https://doi.org/10.1007/s00493-008-2099-1. 
  22. Alon, Noga; Bucić, Matija; Sauermann, Lisa (2025-02-01). "Unit and Distinct Distances in Typical Norms" (in en). Geometric and Functional Analysis 35 (1): 1–42. doi:10.1007/s00039-025-00698-x. ISSN 1420-8970. https://doi.org/10.1007/s00039-025-00698-x. 

Further reading

  • Sheffer, Adam (2018-07-02). "Distinct Distances: Open Problems and Current Bounds". arXiv:1406.1949v3 [math.CO].
  • Garibaldi, Julia; Iosevich, Alex; Senger, Steven (2011), The Erdős Distance Problem, Student Mathematical Library, 56, Providence, RI: American Mathematical Society, ISBN 978-0-8218-5281-1