Isoperimetric-Combinatorial Bounds for Range-Controlled Matchings and Quasi-Interpolation from Scattered Data

Abstract

We develop a mesoscopic framework for analyzing perturbations of finite point sets. Given a reference node set $Y$ with known cubature and approximation properties, we consider a disordered node set $Q$ that is observed only through its populations in cubes at scale $r>0$. By imposing Hall-type (HT) combinatorial constraints on these populations, we prove the existence of a perfect matching between $Y$ and $Q$ with $O(r)$ range. This allows integral approximation estimates on coarser cubes at scale $h>r$ to be transferred from $Y$ to $Q$ with explicit error control and anchors $Q$ to a periodic grid. We then use translation-invariant quasi-interpolation methods to obtain high-order estimates of order $h^s$ as in the quasi-uniform setting, but for a different class of geometries. The key restrictions are the HT conditions and the bound $r\le Ch$, where $C<1$ is scale independent.