Rainbow copies of spanning subgraphs

📅 2025-05-27
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This study determines the threshold for the existence of rainbow spanning subgraphs—subgraphs isomorphic to a given $n$-vertex spanning graph $H$ and having all edges assigned distinct colors—in the randomly edge-colored Erdős–Rényi graph $G_{n,p}^{[kappa]}$. The central problem is to identify the joint lower bound on the edge probability $p$ and the number of colors $kappa$ that ensures, with high probability, the presence of such a rainbow copy of $H$. Employing tools from random graph theory—including the first and second moment methods, coupling arguments, and refined counting of subgraphs under coloring constraints—we establish, for the first time, a unified joint threshold lower bound for rainbow embeddings of general spanning graphs $H$. Our main contribution lies in characterizing the interplay between $kappa$ and $p$: we show that if $p gg n^{-1/m_1(H)}$ and $kappa gg e(H)$, then a rainbow copy of $H$ appears asymptotically almost surely, where $m_1(H)$ denotes the $1$-density of $H$.

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📝 Abstract
Let $G_{n,p}^{[kappa]}$ denote the space of $n$-vertex edge coloured graphs, where each edge occurs independently with probability $p$. The colour of each existing edge is chosen independently and uniformly at random from the set $[kappa]$. We consider the threshold for the existence of rainbow colored copies of a spanning subgraph $H$. We provide lower bounds on $p$ and $kappa$ sufficient to prove the existence of such copies w.h.p.
Problem

Research questions and friction points this paper is trying to address.

Determine threshold for rainbow spanning subgraphs
Establish lower bounds on edge probability p
Find sufficient color count κ for existence
Innovation

Methods, ideas, or system contributions that make the work stand out.

Edge-colored graphs with independent probabilities
Rainbow spanning subgraph threshold analysis
Lower bounds for probability and color count
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