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Universality of the matching number in percolated regular graphs

Sahar Diskin, Mihyun Kang, Lyuben Lichev

TL;DR

The paper establishes a universal limit for the matching number in percolated $d$-regular graphs: for $p=c/d$, the rescaled matching number $ u((G_d)_p)/|V(G_d)|$ converges in probability to $F(c)$, defined via a fixed-point relation, regardless of the underlying regular graph sequence as $d\to\infty$. The authors prove a quantitative local convergence of $(G_d)_p$ to a Galton–Watson tree with offspring distribution $ ext{Po}(c)$, and leverage a result of Bordenave–Lelarge–Salez to transfer this local limit to the matching-number limit, yielding universality with the binomial random graph $G(n,c/n)$. This approach generalizes Karp–Sipser-type analyses from the complete graph to broad host graphs, provided the degree grows, and it connects percolation on regular graphs to classical random-graph phenomena. The findings offer a robust framework for understanding how local graph structure governs global matching properties in sparse, expanding regimes, with potential extensions to multipartite and approximately regular graphs.

Abstract

Fix a sequence of $d$-regular graphs $(G_d)_{d\in \mathbb{N}}$ and denote by $G_{d,p}$ the graph obtained from $G_d$ after edge-percolation with probability $p=c/d$, for a constant $c>0$. We prove a quantitative local convergence of $(G_{d,p})_{d\in \mathbb{N}}$. In combination with results of Bordenave, Lelarge and Salez, it implies that the rescaled matching number of $G_{d,p}$ is asymptotically equivalent to that of the binomial random graph $G(n,c/n)$.

Universality of the matching number in percolated regular graphs

TL;DR

The paper establishes a universal limit for the matching number in percolated -regular graphs: for , the rescaled matching number converges in probability to , defined via a fixed-point relation, regardless of the underlying regular graph sequence as . The authors prove a quantitative local convergence of to a Galton–Watson tree with offspring distribution , and leverage a result of Bordenave–Lelarge–Salez to transfer this local limit to the matching-number limit, yielding universality with the binomial random graph . This approach generalizes Karp–Sipser-type analyses from the complete graph to broad host graphs, provided the degree grows, and it connects percolation on regular graphs to classical random-graph phenomena. The findings offer a robust framework for understanding how local graph structure governs global matching properties in sparse, expanding regimes, with potential extensions to multipartite and approximately regular graphs.

Abstract

Fix a sequence of -regular graphs and denote by the graph obtained from after edge-percolation with probability , for a constant . We prove a quantitative local convergence of . In combination with results of Bordenave, Lelarge and Salez, it implies that the rescaled matching number of is asymptotically equivalent to that of the binomial random graph .

Paper Structure

This paper contains 6 sections, 8 theorems, 30 equations.

Key Result

Theorem 1.1

Fix a constant $c>0$ and a sequence of $d$-regular graphs $(G_d)_{d\in \mathbb{N}}$. Let $p = p(d) = c/d$. Then, where $F(c)$ is the same as in eq: definition of F.

Theorems & Definitions (12)

  • Theorem 1.1
  • Theorem 3.1
  • Lemma 3.2
  • Lemma 3.3
  • proof
  • Proposition 3.4
  • proof
  • Theorem 3.5
  • Lemma 3.6
  • proof
  • ...and 2 more