Unit Distance Problem
Put dots on a sheet of paper. Measure the distance between each pair of dots, and count the pairs that are exactly 1 apart. The question is how large that count can be. Write for the largest possible count.
Small cases show the idea. Three dots in an equilateral triangle give 3 pairs. Four dots, as two triangles that share a side, give 5 pairs. Seven dots, as a hexagon with its center, give 12 pairs. Exact answers are known only for small .
For many dots, start with a square grid with spacing 1. Each dot has 4 neighbors at distance 1: left, right, up and down. Each pair has two dots, so the count is about .
Now make the spacing smaller. With spacing , a dot that is 3 steps across and 4 steps up is exactly 1 away. This is the 3-4-5 triangle: . Each dot now has 12 neighbors at distance 1, as the figure shows.
Other spacings give even more. Spacing gives 16 neighbors, and spacing gives 32. Paul Erdős showed that the best grids give about pairs, where the small part slowly shrinks to 0 as grows.
Erdős conjectured that nothing does much better than these grids. In this conjecture, the raised number on , called the exponent, gets closer and closer to 1 as grows. Mathematicians had also proved that the count is at most a fixed number times . So the true exponent lay somewhere between 1 and .
The exponent makes a large difference for large . Here means times the cube root of . For one million dots, that is 100 million pairs, which is 100 per dot. A grid with a well-chosen spacing gives about 26 per dot.
An OpenAI model disproved the conjecture. For infinitely many , it builds an arrangement with at least pairs, for a fixed number , the Greek letter delta, above 0. Later work reached , so the exponent is at least 1.043 for those .
Here is the idea behind it. A complex number has the form , where . It is a point on a flat map, with across and up. So each grid point is a complex number. Steps of length 1 then come from numbers such as . The new construction uses much larger number systems, which have far more numbers of this kind.
A later OpenAI paper reports that the upper limit on the exponent is also below , by an unstated amount. The exact exponent is still unknown.