Erdős distinct distances problem

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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] and almost proven by Larry Guth and Nets Katz in 2015.[3][4][5]

The conjecture

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

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

for some constant c. 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 was closer to the true value of g(n), and specifically that (using big Omega notation) g(n)=Ω(nc) holds for every c < 1.

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]

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.[13]

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. "On the different distances determined by n points". American Mathematical Monthly 59 (2): 85–91. 1952. doi:10.2307/2307105. 
  7. "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. 
  8. "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. 
  9. 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. 
  10. "Distinct Distances in the Plane". Discrete & Computational Geometry 25 (4): 629–634. 2001. doi:10.1007/s00454-001-0009-z. 
  11. "On distinct sums and distinct distances". Advances in Mathematics 180 (1): 275–289. 2003. doi:10.1016/s0001-8708(03)00004-5. 
  12. 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. 
  13. "Near optimal bounds for the Erdős distinct distances problem in high dimensions". Combinatorica 28: 113–125. 2008. doi:10.1007/s00493-008-2099-1.