Spherical Designs

AlphaEvolve found a construction that improved on the best bound known at the time; the problem itself remains open.

Problem
Problem 32 in the AlphaEvolve repository: Spherical Designs
Credit
AlphaEvolve (Google DeepMind) · LLM-guided evolutionary code search, with Georgiev, Gómez-Serrano, Tao and Wagner
Checked
Construction can be checked directlyPreprint (arXiv, 2025)
Timeline
Paper submitted 2025-11-03
Sources
Problem page (AlphaEvolve repository)Paper (arXiv:2511.02864)
PARTIALImproved bound · new construction

The problem

A spherical tt-design on the dd-dimensional sphere Sd⊂Rd+1S^d \subset \R^{d+1} is a finite set of points X⊂SdX \subset S^d such that for any polynomial PP of degree at most tt, the average value of PP over XX is equal to the average value of PP over the entire sphere SdS^d. For each t∈Nt \in \mathbb{N}, let C(d,t)C(d,t) be the minimal number of points in a spherical tt-design. Establish upper and lower bounds on C(d,t)C(d,t) that are as strong as possible.

Statement quoted from problem 32 of the AlphaEvolve repository of problems (Google DeepMind, CC BY 4.0).

What AI did

AlphaEvolve found a construction that improved on the best bound known at the time; the problem itself remains open. Status in the repository: New result. See Section 6.17, in "Mathematical Exploration and Discovery at Scale" paper. Records may have moved since; the repository's notes below list the latest bounds it knows of.

How it was checked

The results are explicit constructions or programs; the repository's notebooks include the verification code used to score them.

Limitations

An improved bound is progress, not a solution: the exact answer to the problem is still unknown. The authors report that results were better when experts set up and guided the search.

∎