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A note on Ordered Ruzsa-Szemerédi graphs

Kevin Pratt

TL;DR

This note investigates the relationship between Ordered Ruzsa-Szemerédi graphs (ORS) and classical Ruzsa-Szemerédi graphs (RS) in the context of fully dynamic $(1-\varepsilon)$-approximate maximum matching. It proves a density-boosting relation: if ${ORS}(n, \varepsilon n) \ge \Omega(n^{c})$ for some $c>0$, then for any fixed $\delta>0$, ${RS}(n, \Theta(\varepsilon^{1/\delta} n)) \ge \Omega(n^{c(1-\delta)})$, showing ORS and RS densities are roughly equivalent. The key technique is a tensor-power construction: from an ORS graph $G=\bigcup_i M_i$, build a graph $H_s$ on $V(G)^k$ and partition its edges into $M_a$ so that each $M_a$ is an induced matching, with the number of $M_a$'s giving the RS bound. This result implies that improvements in ORS-based dynamic-matching algorithms have parallel implications for RS-based bounds, resolving a question by Behnezhad and Ghafari about the relative power of ORS versus RS densities.

Abstract

A recent breakthrough of Behnezhad and Ghafari [FOCS 2024] and subsequent work of Assadi, Khanna, and Kiss [SODA 2025] gave algorithms for the fully dynamic $(1-\varepsilon)$-approximate maximum matching problem whose runtimes are determined by a purely combinatorial quantity: the maximum density of Ordered Ruzsa-Szemerédi (ORS) graphs. We say a graph $G$ is an $(r,t)$-ORS graph if its edges can be partitioned into $t$ matchings $M_1,M_2, \ldots, M_t$ each of size $r$, such that for every $i$, $M_i$ is an induced matching in the subgraph $M_{i} \cup M_{i+1} \cup \cdots \cup M_t$. This is a relaxation of the extensively-studied notion of a Ruzsa-Szemerédi (RS) graph, the difference being that in an RS graph each $M_i$ must be an induced matching in $G$. In this note, we show that these two notions are roughly equivalent. Specifically, let $\mathrm{ORS}(n)$ be the largest $t$ such that there exists an $n$-vertex ORS-$(Ω(n), t)$ graph, and define $\mathrm{RS}(n)$ analogously. We show that if $\mathrm{ORS}(n) \ge Ω(n^c)$, then for any fixed $δ> 0$, $\mathrm{RS}(n) \ge Ω(n^{c(1-δ)})$. This resolves a question of Behnezhad and Ghafari.

A note on Ordered Ruzsa-Szemerédi graphs

TL;DR

This note investigates the relationship between Ordered Ruzsa-Szemerédi graphs (ORS) and classical Ruzsa-Szemerédi graphs (RS) in the context of fully dynamic -approximate maximum matching. It proves a density-boosting relation: if for some , then for any fixed , , showing ORS and RS densities are roughly equivalent. The key technique is a tensor-power construction: from an ORS graph , build a graph on and partition its edges into so that each is an induced matching, with the number of 's giving the RS bound. This result implies that improvements in ORS-based dynamic-matching algorithms have parallel implications for RS-based bounds, resolving a question by Behnezhad and Ghafari about the relative power of ORS versus RS densities.

Abstract

A recent breakthrough of Behnezhad and Ghafari [FOCS 2024] and subsequent work of Assadi, Khanna, and Kiss [SODA 2025] gave algorithms for the fully dynamic -approximate maximum matching problem whose runtimes are determined by a purely combinatorial quantity: the maximum density of Ordered Ruzsa-Szemerédi (ORS) graphs. We say a graph is an -ORS graph if its edges can be partitioned into matchings each of size , such that for every , is an induced matching in the subgraph . This is a relaxation of the extensively-studied notion of a Ruzsa-Szemerédi (RS) graph, the difference being that in an RS graph each must be an induced matching in . In this note, we show that these two notions are roughly equivalent. Specifically, let be the largest such that there exists an -vertex ORS- graph, and define analogously. We show that if , then for any fixed , . This resolves a question of Behnezhad and Ghafari.

Paper Structure

This paper contains 3 sections, 2 theorems, 5 equations.

Key Result

Theorem 1.3

If ${\mathrm{ORS}}(n, \varepsilon n) \ge \Omega(n^c)$, then for any fixed $\delta > 0$, ${\mathrm{RS}}(n, \Theta(\varepsilon^{1/\delta} n)) \ge \Omega(n^{c(1-\delta)})$.

Theorems & Definitions (6)

  • Definition 1.1
  • Definition 1.2
  • Theorem 1.3
  • Lemma 2.1
  • proof
  • proof : Proof of \ref{['main']}