On maximum-sum matchings of bichromatic points
Oscar Chacón-Rivera, Pablo Pérez-Lantero
TL;DR
This work addresses max-sum matchings between bichromatic planar point sets under continuous (semi-)metrics, focusing on Euclidean distance and its square (quadrance). It introduces a precise 3-point characterization, linking max-sum optimality to the nonemptiness of five specific intersections of sets derived from the metric, with distinct boundary geometries for $d=\|\cdot\|$ and $d=\|\cdot\|^2$. Using this framework, it offers a new, elementary proof of the common-intersection property for the disks induced by a max-sum matching under squared Euclidean distance, and extends the argument to Euclidean quadrance via Helly's theorem. The results deepen the understanding of Tverberg-graph-type properties in geometric matchings and provide a unifying perspective across metrics.
Abstract
Huemer et al. (Discrete Math, 2019) proved that for any two finite point sets $R$ and $B$ in the plane with $|R| = |B|$, the perfect matching that matches points of $R$ with points of $B$, and maximizes the total squared Euclidean distance of the matched pairs, has the property that all the disks induced by the matching have a nonempty common intersection. A pair of matched points induces the disk that has the segment connecting the points as diameter. In this note, we characterize these maximum-sum matchings for some family of continuous (semi-)metrics, focusing on both the Euclidean distance and squared Euclidean distance. Using this characterization, we give a different but simpler proof for the common intersection property proved by Huemer et al..
