Skip to content
Preprint

Erd\H{o}s's Robust Polynomial Interpolation Problem: the Optimal Exponential Scale

Sep 2026 · 0 citations · 5 references
Mathematics

Abstract

We determine the optimal exponential scale in Erd\H{o}s's robust polynomial interpolation problem and identify the leading exponential coefficient for Chebyshev--Lobatto grids. Given $C>0$ and $0\le\rho<1$, put $H=C/(1-\rho)$. We prove that every configuration of $n\ge n_0$ nodes in $[-1,1]$ admits sign data for which every polynomial of degree at most $(1+\epsilon)n$ and uniform norm at most $C$ has error greater than $\rho$ at more than $\epsilon n$ nodes. One may choose $\epsilon\ge e^{-A(1+H)}$ and $n_0\le e^{A(1+H)}$, where $A$ is an absolute constant, and a matching upper bound shows that the exponential order is optimal. For the same obstruction restricted to Chebyshev--Lobatto grids, the optimal parameter $\epsilon_{\mathrm{Ch}}(C,\rho)$ satisfies $\log(1/\epsilon_{\mathrm{Ch}}(C,\rho))=\frac{\pi}{2}H+O(\log(H+1))$ as $H\to\infty$. The proofs combine finite interpolation estimates in Bernstein spaces with periodic sign constructions and averaging. We also establish obstructions for random signs and stability under angular perturbations of the nodes.

View source

Similar papers

Preprint Oct 2026

Uniform $L^2$-bounds for the $n$-th Calder\'on commutator on Lipschitz graphs

We prove that, for every real Lipschitz function $A$ and every integer $n\ge1$, $\|T_{A,n}\|_{L^2(\mathbb{R})\to L^2(\mathbb{R})}\le C\,\|A'\|_\infty^n$, where $T_{A,n}$ is the $n$-th Calder\'on commutator and $C$ is an absolute constant. The essential tool is the Coifman--McIntosh--Meyer theorem, applied to a holomorp...

Joan Hernández, Joan Mateu, Laura Prat · 0 citations
Preprint Sep 2026

Asymptotics of the Brown--Erd\H{o}s--S\'os problem at integer exponents

The Brown--Erd\H{o}s--S\'os problem is a fundamental problem in sparse hypergraph Tur\'an theory. For integers $r,k\ge 2$ and $s\ge r$, the problem asks for the maximum number $f^{(r)}(n;s,k)$ of edges in an $n$-vertex $r$-uniform hypergraph containing no $k$ distinct edges spanning at most $s$ vertices. In 1971, Brown...

Ting-Wei Chao, Xin-Qi Huang, Hong Liu · 1 citation
#artificial intelligence Preprint Sep 2026

A solution to the Erd\H{o}s Problem #1040

For a compact set $K\subset\mathbb{C}$, let $\vartheta(K)$ be the infimum of the planar areas of the unit lemniscates of all monic polynomials with zeros in $K$, allowing arbitrary degree and repeated zeros. We prove that $\vartheta(K)=0$ whenever $\operatorname{cap}(K)=1$, with no regularity assumption on $K$. The pro...

Ioannis Tzachristas · 0 citations
Preprint Sep 2026

Solving Linear Systems in $\widetilde{O}(mn \log \frac{\kappa}{\epsilon})$ Bit Operations

We give a deterministic algorithm that solves a nonsingular linear system $Ax=b$, where $A\in\mathbb{R}^{n\times n}$ has $m$ nonzero entries and condition number $\kappa$, to any relative residual tolerance $0<\epsilon\le1/2$ using $\widetilde{O(}mn\log(\kappa/\epsilon))$ bit operations for inputs with logarithmically...

Jonathan A. Kelner · 0 citations
Preprint Oct 2026

The zeros of point evaluation extremals in Paley-Wiener spaces

For $1\le p<\infty$, $\varphi_p$ is the function of minimal $L^p$ norm among all functions $f$ of exponential type at most $\pi$ for which $f(0)=1$. We start from the ansatz that the positive zeros $\tau_n$ of $\varphi_p$ are close to \(n+1/p-1/2\) and use a weighted convex correction to first place them in an \(\ell^2...

A. Bondarenko, Joaquim Ortega-Cerdà, Kristian Seip · 0 citations
Preprint Sep 2026

Sharp singularity asymptotics for discrete random matrices

We resolve the Rademacher singularity conjecture: an $n\times n$ matrix with independent uniform $\{-1,1\}$ entries is singular with probability $(2+o(1))n^22^{-n}$. More generally, for an $n\times n$ matrix $M_n$ with independent entries uniform on a fixed set $S\subset\mathbb{R}$ of cardinality $q\ge2$, we prove $\ma...

Xuan-Ang Hu, Ze-Yan Song, Xing-Long Wu · 2 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.