The Sobol' sequence is not quasi-uniform in dimension 2
Takashi Goda
TL;DR
The paper addresses whether the 2D Sobol' sequence is quasi-uniform by examining the mesh ratio defined via the fill distance $h(P_n)$ and separation radius $q(P_n)$. It leverages the explicit generating matrices for the 2D Sobol' sequence, notably the Pascal matrix modulo $2$, and employs Lucas' theorem to establish parity properties that yield explicit lower bounds. The main result shows there exist infinitely many $n$ with $q(P_n)=1/(\sqrt{2}(n+1))$, thereby proving the 2D Sobol' sequence is not quasi-uniform; this settles the question in dimension $2$ and leaves higher dimensions as future work. The finding narrows the understanding of quasi-uniformity for common QMC point sets and has implications for their use in kernel interpolation and Gaussian process regression, where mesh ratio behavior informs error bounds.
Abstract
Are common quasi-Monte Carlo sequences quasi-uniform? While this question remains widely open, in this short note, we prove that the two-dimensional Sobol' sequence is not quasi-uniform. This result partially answers an unsolved problem of Sobol' and Shukhman (2007) in a negative manner.
