Rainbow connectivity of multilayered random geometric graphs
Josep Díaz, Öznur Yaşar Diner, Maria Serna, Oriol Serra
TL;DR
The paper introduces multilayered random geometric graphs as colored unions of h independent G(n,r) graphs and investigates rainbow connectivity in this setting. It establishes a threshold for the radius r(n) at which rainbow connectivity occurs w.h.p., showing r(n) ~ ((ln n)/n^{h-1})^{1/(2h)} up to constants, with explicit sharp constants for the two-layer case (h=2). The analysis combines local expansion, probabilistic concentration (McDiarmid, Chernoff bounds), and a deferred-decision framework to bound growth of rainbow-reachable sets, yielding both lower and upper bounds for h ≥ 3 and precise constants for h=2. These results connect geometric random graphs to rainbow connectivity phenomena and suggest extensions to dynamic networks and higher rainbow-connectivity requirements, offering insight into multi-layer network robustness and routing with colored paths.
Abstract
An edge-colored multigraph $G$ is rainbow connected if every pair of vertices is joined by at least one rainbow path, i.e., a path where no two edges are of the same color. In the context of multilayered networks we introduce the notion of multilayered random geometric graphs, from $h\ge 2$ independent random geometric graphs $G(n,r)$ on the unit square. We define an edge-coloring by coloring the edges according to the copy of $G(n,r)$ they belong to and study the rainbow connectivity of the resulting edge-colored multigraph. We show that $r(n)=\left(\frac{\log n}{n}\right)^{\frac{h-1}{2h}}$ is a threshold of the radius for the property of being rainbow connected. This complements the known analogous results for the multilayerd graphs defined on the Erdős-R\' enyi random model.
