Algebro-combinatorial generalizations of the Victoir method for constructing weighted designs
Hiroshi Nozaki, Masanori Sawa

TL;DR
This paper generalizes Victoir's method for constructing weighted t-designs by allowing orthogonal arrays with arbitrary levels, leading to explicit constructions of low-point designs in Euclidean spaces and Gaussian measures.
Contribution
It introduces an algebro-combinatorial framework that extends Victoir's method, enabling the use of orthogonal arrays with multiple levels for constructing weighted t-designs.
Findings
Constructed equi-weighted 5-designs with O(d^4) points for various measures.
Proved the existence of Gaussian t-designs with O(d^{t-1}) points for large prime powers.
Improved Milman's theorem on isometric embeddings of finite-dimensional Banach spaces.
Abstract
A weighted -design in is a finite weighted set that exactly integrates all polynomials of degree at most with respect to a given probability measure. A fundamental problem is to construct weighted -designs with as few points as possible. Victoir (2004) proposed a method to reduce the size of weighted -designs while preserving the -design property by using combinatorial objects such as combinatorial designs or orthogonal arrays with two levels. In this paper, we give an algebro-combinatorial generalization of both Victoir's method and its variant by the present authors (2014) in the framework of Euclidean polynomial spaces, enabling us to reduce the size of weighted designs obtained from the classical product rule. Our generalization allows the use of orthogonal arrays with arbitrary levels, whereas Victoir only treated the case of two levels. As an…
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Taxonomy
TopicsOptimal Experimental Design Methods · Mathematical Approximation and Integration · graph theory and CDMA systems
