Erdős Problem #651
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Erdős problems openaigpt 6 astra ultra 100% cataloguedSolvedSolvedStatement
Let $f_k(n)$ be the least number of points in general position in $\mathbb R^k$ that forces $n$ points in convex position. Must $f_k(n)>(1+c_k)^n$ hold for some $c_k>0$?
Restatement from Math-5794-A1 r1, with the source manuscript’s qualifications.
Original problem on erdosproblems.com
Statement licence: CC-BY-4.0 · Source file
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GPT 6 Astra Ultra attempt on Math-5794
Erdős Problem 651: convex configurations in higher dimensions
Statement.
Let $f_k(n)$ be the least number of points in general position in $\mathbb R^k$ that forces $n$ points in convex position. Must $f_k(n)>(1+c_k)^n$ hold for some $c_k>0$?Claim and source.
For every fixed $k\geq3$, the answer is no. The external input is Pohoata and Zakharov, Convex polytopes from fewer points, https://arxiv.org/abs/2208.04878, Theorem 1.1: for every $\varepsilon>0$, all sufficiently large $n$ satisfy \[ f_3(n)\leq\lceil2^{\varepsilon n}\rceil. \] We spell out the projection and quantifier arguments that give the disproof in every higher dimension. The planar case is different; no disproof for $k=2$ is claimed. See https://www.erdosproblems.com/651.Projection preserves the needed hypotheses.
Let $X\subset\mathbb R^k$ be a finite general-position set of at least $k+1$ points, with $k\geq3$. Every four points of $X$ are affinely independent: otherwise adding another $k-3$ points would yield $k+1$ points in an affine subspace of dimension at most $k-1$, contrary to general position.Choose a linear map $L:\mathbb R^k\to\mathbb R^3$ for which every four-point subset remains affinely independent. Such a map exists: for each fixed four-point subset, the determinant of its three image-difference vectors is a nonzero polynomial in the entries of $L$, since those original difference vectors are independent. The zero sets of finitely many nonzero polynomials cannot cover the whole space of linear maps. The resulting image is a set of distinct points with no four coplanar.
If $Y\subseteq X$ projects to points in convex position, then $Y$ itself is in convex position. Indeed, an expression $y=\sum_{z\in Y\setminus\{y\}}\lambda_z z$, with nonnegative $\lambda_z$ summing to one, would project to the same forbidden convex combination for $L(y)$. Thus, in the asymptotic range relevant here, \[ f_k(n)\leq f_3(n). \]