Skip to content
Preprint

Low-Degree Polynomial Approximation of the Cross-Polytope

Sep 2026 · 0 citations · 17 references
Computer Science

TL;DR

The degree-distortion tradeoff for polynomial approximation of the $d$-dimensional cross-polytope $B_1^d$ is determined, and degree $\Theta(d)$ is necessary and sufficient for constant distortion.

Abstract

We determine the degree-distortion tradeoff for polynomial approximation of the $d$-dimensional cross-polytope $B_1^d$. For every $1\le t\le d$, every globally nonnegative degree-$2t$ form that is positive away from the origin has multiplicative sandwich distortion at least $(2e)^{-1/2}\sqrt{d/t}$, while an explicit sum-of-squares (SoS) form achieves distortion at most $(2e)^{1/2}\sqrt{d/t}$. Hence both the nonnegative-form and SoS optima are $\Theta(\sqrt{d/t})$, and degree $\Theta(d)$ is necessary and sufficient for constant distortion. The lower bound is representation-free. Averaging over signed permutations and evaluating on flat points of the $\ell_1$ sphere reduces every candidate to a support-size profile $V(k)=k^{-2t}Q(k)$ with $\deg Q\le t$ and $Q(0)=0$. After the substitution $u=1/k$, Lagrange interpolation shows that this degree budget cannot keep the profile nearly constant across $d$ support scales. A matching SoS construction averages even powers of sign-vector facet normals and reduces the upper bound to a Rademacher moment. We also isolate a weighted reciprocal-grid lemma, derive consequences for $\ell_p$ balls, and contrast the polar cube. For a general symmetric polytope, weighted facet powers yield a one-sided certificate whose boundary-floor objective is concave and whose worst-direction oracle reduces to convex dual-norm problems; at degree two, its optimizers recover classical optimal design and the John ellipsoid. This is an oracle-model certificate optimization, not an end-to-end complexity result or a characterization of the full SoS optimum.

View source

Similar papers

Preprint Sep 2026

Exponential Sampling Lower Bounds for Polynomial Sources

A degree-$d$ polynomial source is the output of a polynomial map of degree at most $d$ over $\mathbb{F}_2$ on arbitrarily many uniform random bits. Khodabandeh and Shinkar (FOCS'26) proved that $\mathrm{Ber}(1/3)^{\otimes N}$ has statistical distance $1-o(1)$ from every constant-degree polynomial source and conjectured...

Yan Zhong · 0 citations
Preprint Aug 2026

Discrepancy of geometric incidences

We study the combinatorial (red-blue) discrepancy of finite point sets with respect to hyperplanes and, more generally, bounded-complexity affine algebraic sets. We prove that every $n$-point set in a real Euclidean space admits a red-blue coloring for which every affine algebraic set of dimension at most $D$ and degre...

A. Adıbelli, István Tomon · 1 citation
Preprint Aug 2026

Characteristic drops for high-order vanishing on the hypercube

Let $F$ be a field, let $0\le \ell\le k-2$, and suppose that $n\ge k-1$. We determine the minimum degree of a polynomial in $F[x_1,\ldots,x_n]$ that vanishes to order at least $k$ at every nonzero vertex of the Boolean cube and to order exactly $\ell$ at the origin. The answer is \[ n+2k-2-\rho_F(k-\ell), \] where $\rh...

D. Menezes · 0 citations
Preprint Aug 2026

An Optimal Separation Between Certificate Complexity and Approximate Degree

We prove that certificate complexity can be quartically larger than approximate degree. More precisely, we construct a family of total Boolean functions $G$ with $$ C(G) = \tilde{\Omega}(\tilde{deg}(G)^4), $$ where $C$ denotes certificate complexity and $\tilde{deg}$ denotes $1/3$-approximate degree. This is optimal up...

K. Balodis · 2 citations · ⚡1
Preprint Sep 2026

Binary dimension-free discretization and polynomial complexification on real cubes

Let $C(d,2)$ be the optimal dimension-free ratio between the polytorus and Boolean-cube norms of complex multiaffine polynomials of degree at most $d$. For every $d$, $C(d,2)$ equals the unrestricted complexification constant of the real cube for complex polynomials of degree at most $d$. Moreover, $\lim_{d\to\infty}C(...

Luis Miguel Castaño-Marín, D. Núñez-Alarcón, J. Santos · 0 citations
Preprint Aug 2026

Required Number of Points in $L_2$ Marcinkiewicz-Zygmund Inequalities

We determine, up to absolute constants, the worst-case number of point evaluations required for a weighted $L_2$ Marcinkiewicz-Zygmund inequality for an $m$-dimensional complex function space. If $0<\varepsilon<1$ is the relative distortion, this number is $$\Theta\Big(\min\Big\{m^2,\frac{m}{\varepsilon^2}\Big\}\Big),$...

Felix Bartel · 0 citations

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