← UC-333: Infinitely Many Is Not Every
Problem playground

The Smallest Triangle

Put dots in a square. Every three of them make a triangle, and one of those triangles is the smallest. Hans Heilbronn asked, before 1951: how large can you make that smallest triangle? Try it.

1 · Keep the smallest triangle large

Drag the dots. The smallest triangle is shaded, and its area is scored as a fraction of the square. Three dots in a line make a triangle of area zero, so spread them out — but not too evenly.

Dots 6
–smallest triangle now
–your best for this many dots
–proven best

Proven best values are known only for small numbers of dots: 1/8 for six, and (√13 − 1)/36 ≈ 0.0724 for eight. Proving the seven-dot value took a computer search split into 226 cases. For other sizes the page shows no target; the computer’s search is a guide, not a proof.

2 · Random is worse than careful

Scatter the same number of dots at random 400 times and take the typical smallest triangle. Then compare it with what careful placement achieves.

Random dots almost always include three that are nearly in a line. Every advance on this problem, from Erdős’s curve to the 1982 disproof to the 2026 claim, has been a better construction — a smarter way to avoid that.

3 · Infinitely many is not every

The 2026 paper claims its bound for every large number of dots. Its machine check proves it for infinitely many numbers — a sequence of sizes that never ends, but may skip sizes in between. Switch between the two.

n = 1n = 60

Illustration only: the actual checked sizes come from primes in the construction and are far larger than 60. To disprove the “almost 1/n²” limit, beating it at infinitely many sizes is enough — so the disproof is fully checked. Describing every size needs one more step, which the paper takes (build a slightly bigger set, then delete dots; deleting can never make the smallest triangle smaller). The scope note says the checked construction covers the sequence only.

4 · An improvement too small to draw

As dots multiply, how fast must the smallest triangle shrink? Write the answer as n to a power. Constructions push the power up from −2; impossibility proofs push it down from −1. The truth is somewhere in the shaded gap.

Lower bounds (blue) say what careful placement achieves; upper bounds (amber) say what no placement can beat. The 2026 claim moves the lower bound from −2 to −2 + η, where the paper’s explicit η has 235 zeros after the decimal point.

5 · What is claimed, and what is checked

StatementStatus
The “almost 1/n²” limit is falseChecked by machine, in Lean
The improved bound holds for an unbounded sequence of sizesChecked by machine
The improved bound holds for every sufficiently large nIn the paper; “broader” than the check
The proof as a whole (24 pages)No specialist review found

Seventy-five years

  1. Before 1951Heilbronn, who fled Nazi Germany in 1933, guesses the smallest triangle shrinks like 1/n².
  2. 1951Klaus Roth publishes the first paper on the problem.
  3. 1964Heilbronn moves to Toronto, where he dies in 1975.
  4. 1982Komlós, Pintz and Szemerédi disprove his guess, by a factor of log n.
  5. 2023Cohen, Pohoata and Zakharov move the other side for the first time in four decades.
  6. Oct 6, 2026OpenAI claims a power improvement; checked for infinitely many n, claimed for every large n.
A companion visual to UC-333 · Infinitely Many Is Not Every, a StratIQX case study. It illustrates the subject; it is not part of the case’s scored analysis.
Sources: K. F. Roth, “On a Problem of Heilbronn” (1951); Komlós, Pintz and Szemerédi, “A Lower Bound for Heilbronn’s Problem” (1982); Cohen, Pohoata and Zakharov, arXiv:2305.18253 (2023); Wikipedia; MacTutor; OpenAI, “A power improvement in the Heilbronn triangle lower bound” and Lean scope note (2026, unreviewed).
See also: The Thorp Shuffle, The Butterfly and the Fork, The Brick Factory, The Fastest Way to Multiply and Colouring the Plane, from the same release.