In today's world, Erdős distinct distances problem is a topic that is constantly evolving and generates great interest in various areas. Whether in the scientific, cultural, technological or social field, Erdős distinct distances problem has become a point of reference and constant debate. Over time, it has become one of the most relevant topics on the public agenda, awakening the interest and curiosity of millions of people around the world. Without a doubt, Erdős distinct distances problem is a topic that leaves no one indifferent, and its impact is becoming increasingly evident in our society. In this article, we will explore some of the most relevant facets of Erdős distinct distances problem and discuss its importance in the current context.
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
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.
Partial results
Paul Erdős' 1946 lower bound of g(n) = Ω(n1/2) was successively improved to:
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 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]
^Katz, Nets Hawk; Tardos, Gábor (2004). "A new entropy inequality for the Erdős distance problem". In Pach, János (ed.). Towards a theory of geometric graphs. Contemporary Mathematics. Vol. 342. Providence, RI: American Mathematical Society. pp. 119–126. doi:10.1090/conm/342/06136. ISBN978-0-8218-3484-8. MR2065258.