Rainbow perfect matchings and Hamilton cycles in the random geometric graph
Deepak Bal, Patrick Bennett, Xavier P\'erez-Gim\'enez and, Pawe{\l} Pra{\l}at

TL;DR
This paper proves that in randomly edge-coloured geometric graphs, the presence of rainbow perfect matchings and Hamilton cycles aligns with minimum degree thresholds, extending classical graph theory results to the geometric and rainbow setting.
Contribution
It establishes the threshold conditions for rainbow perfect matchings and Hamilton cycles in random geometric graphs with random edge colours, a novel extension of classical combinatorial results.
Findings
Rainbow perfect matchings appear at minimum degree 1
Rainbow Hamilton cycles appear at minimum degree 2
Results hold for any fixed dimension d ≥ 2
Abstract
Given a graph on vertices and an assignment of colours to the edges, a rainbow Hamilton cycle is a cycle of length visiting each vertex once and with pairwise different colours on the edges. Similarly (for even ) a rainbow perfect matching is a collection of independent edges with pairwise different colours. In this note we show that if we randomly colour the edges of a random geometric graph with sufficiently many colours, then a.a.s. the graph contains a rainbow perfect matching (rainbow Hamilton cycle) if and only if the minimum degree is at least (respectively, at least ). More precisely, consider points (i.e. vertices) chosen independently and uniformly at random from the unit -dimensional cube for any fixed . Form a sequence of graphs on these vertices by adding edges one by one between each possible pair of vertices. Edges are added in…
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