Most probably trangle-free graphs

Fuente: arXiv
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Main Authors: Bai, Yuhang, Katona, Gyula O. H., Yang, Zixuan
Format: Preprint
Published: 2026
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author Bai, Yuhang
Katona, Gyula O. H.
Yang, Zixuan
author_facet Bai, Yuhang
Katona, Gyula O. H.
Yang, Zixuan
contents The celebrated Mantel's theorem states that any triangle-free graph on $n$ vertices contains at most $\left\lfloor n^2/4\right\rfloor$ edges. It is natural to ask how many triangles must exist in a graph with more than $\left\lfloor n^2/4\right\rfloor$ edges--a problem known as the Erdős-Rademacher problem. In this paper, we propose a probabilistic variant of this classic problem. Specifically, given an $n$-vertex graph $G$ with $\left\lfloor n^2/4\right\rfloor+i$ ($i>0$) edges, we choose the edges of $G$ independently with probability $p$, and the resulting new graph is triangle-free with a certain probability. Our goal is to maximize this probability by choosing $G$ appropriately. For the case where $G$ has $ \left\lfloor n^2/4\right\rfloor +1$ edges, we determine the exact maximum probability.
format Preprint
id arxiv_https___arxiv_org_abs_2602_22782
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Most probably trangle-free graphs
Bai, Yuhang
Katona, Gyula O. H.
Yang, Zixuan
Combinatorics
The celebrated Mantel's theorem states that any triangle-free graph on $n$ vertices contains at most $\left\lfloor n^2/4\right\rfloor$ edges. It is natural to ask how many triangles must exist in a graph with more than $\left\lfloor n^2/4\right\rfloor$ edges--a problem known as the Erdős-Rademacher problem. In this paper, we propose a probabilistic variant of this classic problem. Specifically, given an $n$-vertex graph $G$ with $\left\lfloor n^2/4\right\rfloor+i$ ($i>0$) edges, we choose the edges of $G$ independently with probability $p$, and the resulting new graph is triangle-free with a certain probability. Our goal is to maximize this probability by choosing $G$ appropriately. For the case where $G$ has $ \left\lfloor n^2/4\right\rfloor +1$ edges, we determine the exact maximum probability.
title Most probably trangle-free graphs
topic Combinatorics
url https://arxiv.org/abs/2602.22782