Tiling randomly perturbed multipartite graphs
Enrique Gomez-Leos, Ryan R. Martin
TL;DR
The paper determines the threshold for a perfect $K_r$-tiling in a balanced $r$-partite graph after random perturbation by a $G_r(n,p)$ edge-dense random graph, showing the sharp threshold $p \ge C n^{-2/r}$ (whp) when the host graph has minimum partite-degree $\delta^{*}(G) \ge \alpha n$. The authors develop a multipartite regularity framework together with a linear programming approach to obtain a perfect fractional $S^*$-tiling of the Szemerédi reduction, then transform this into an actual tiling via random slicing and careful regularization of the clusters, leftovers, and star structures. They prove both the upper-bound (existence) and lower-bound (non-existence) parts, including an extremal construction demonstrating sharpness up to constants and a note that a linear minimum-degree is necessary to avoid polylog factors. The results extend Balogh–Treglown–Wagner’s bipartite tiling threshold to the multipartite setting and clarify how regularity-based methods can bridge fractional to integral tilings in this more complex environment, with implications for tiling problems in perturbed multipartite networks.
Abstract
A perfect $K_r$-tiling in a graph $G$ is a collection of vertex-disjoint copies of the graph $K_r$ in $G$ that covers all vertices of $G$. In this paper, we prove that the threshold for the existence of a perfect $K_{r}$-tiling of a randomly perturbed balanced $r$-partite graph on $rn$ vertices is $n^{-2/r}$. This result is a multipartite analog of a theorem of Balogh, Treglown, and Wagner and extends our previous result, which was limited to the bipartite setting.
