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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2605.09466 |
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| _version_ | 1866909030215057408 |
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| author | Kang, Mihyun Riordan, Oliver |
| author_facet | Kang, Mihyun Riordan, Oliver |
| contents | Achlioptas processes such as the Bohman--Frieze process are much harder to analyse than the classical Erdős--Rényi process, due to the dependence between edges added at different stages. This dependence means that most analysis so far is dynamic, often based on the differential equation method. In the Erdős--Rényi case there is an alternative static approach, pioneered by Erdős, Rényi and Bollobás, based on evaluating the expectation (and higher moments) of various subgraph counts, and using this to study the component structure. Here we show that this latter approach can be applied (with some complications) to the Bohman--Frieze process. For example, we are able to show that the expected number $μ_{k,t,n}$ of $k$-vertex tree components after $tn$ steps satisfies (essentially) $μ_{k,t,n}=c_{k,t}n(1+O(k/\sqrt{n}))$. Our method gives a very complicated formula for $c_{k,t}$, which seems to be unusable. However, since $c_{k,t}$ does not depend on $n$, we may use recent results obtained by the differential equation method and branching process analysis to find the asymptotics of $c_{k,t}$ as $k\to\infty$. The latter results also give a formula for $μ_{k,t,n}$ of the form $c_{k,t}n$ plus an error term, with a much more usable description of $c_{k,t}$ but a much worse error term. We combine the best of both worlds to prove a number of new results about the process near criticality. In particular, we obtain extremely sharp bounds on the size of the largest non-giant component near criticality, including the limiting distribution of its fluctuations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_09466 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Counting subgraphs in bounded-size Achlioptas processes Kang, Mihyun Riordan, Oliver Probability Combinatorics 05C80 Achlioptas processes such as the Bohman--Frieze process are much harder to analyse than the classical Erdős--Rényi process, due to the dependence between edges added at different stages. This dependence means that most analysis so far is dynamic, often based on the differential equation method. In the Erdős--Rényi case there is an alternative static approach, pioneered by Erdős, Rényi and Bollobás, based on evaluating the expectation (and higher moments) of various subgraph counts, and using this to study the component structure. Here we show that this latter approach can be applied (with some complications) to the Bohman--Frieze process. For example, we are able to show that the expected number $μ_{k,t,n}$ of $k$-vertex tree components after $tn$ steps satisfies (essentially) $μ_{k,t,n}=c_{k,t}n(1+O(k/\sqrt{n}))$. Our method gives a very complicated formula for $c_{k,t}$, which seems to be unusable. However, since $c_{k,t}$ does not depend on $n$, we may use recent results obtained by the differential equation method and branching process analysis to find the asymptotics of $c_{k,t}$ as $k\to\infty$. The latter results also give a formula for $μ_{k,t,n}$ of the form $c_{k,t}n$ plus an error term, with a much more usable description of $c_{k,t}$ but a much worse error term. We combine the best of both worlds to prove a number of new results about the process near criticality. In particular, we obtain extremely sharp bounds on the size of the largest non-giant component near criticality, including the limiting distribution of its fluctuations. |
| title | Counting subgraphs in bounded-size Achlioptas processes |
| topic | Probability Combinatorics 05C80 |
| url | https://arxiv.org/abs/2605.09466 |