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Triangle-Saturated Graphs in the Semi-Random Graph Process

Clemen, Felix Christian et al. · arxiv_oai_expanded
arXiv (OAI Expanded) · Papers
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combinatoricsdiscrete-mathematicsprobability
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[2608.14687] Triangle-Saturated Graphs in the Semi-Random Graph Process Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Mathematics > Combinatorics arXiv:2608.14687 (math) [Submitted on 6 Aug 2026] Title: Triangle-Saturated Graphs in the Semi-Random Graph Process Authors: Felix Christian Clemen , Pawel Pralat View a PDF of the paper titled Triangle-Saturated Graphs in the Semi-Random Graph Process, by Felix Christian Clemen and 1 other authors View PDF HTML (experimental) Abstract: The semi-random graph process is an adaptive random graph process in which an online algorithm is initially given an empty graph on $n$ vertices. In each round, a vertex $u$ is presented to the algorithm independently and uniformly at random. The algorithm then adaptively selects a vertex $v$, and adds the edge $uv$ to the graph. We also consider the offline version of the process in which the algorithm is given the entire sequence of random vertex choices before the selection takes place. For a given graph property, the objective of the algorithm is to force the graph to satisfy this property asymptotically almost surely in as few rounds as possible. In this paper, we focus on the property of being triangle-saturated and establish upper and lower bounds on the number of rounds required to construct a triangle-saturated graph in both the online and offline versions of the process. Comments: 10 pages Subjects: Combinatorics (math.CO) ; Discrete Mathematics (cs.DM); Probability (math.PR) Cite as: arXiv:2608.14687 [math.CO] (or arXiv:2608.14687v1 [math.CO] for this version) https://doi.org/10.48550/arXiv.2608.14687 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Paweł Prałat [ view email ] [v1] Thu, 6 Aug 2026 17:57:35 UTC (14 KB) Full-text links: Access Paper: View a PDF of the paper titled Triangle-Saturated Graphs in the Semi-Random Graph Process, by Felix Christian Clemen and 1 other authors View PDF HTML (experimental) TeX Source view license Current browse context: math.CO < prev | next > new | recent | 2026-08 Change to browse by: cs cs.DM math math.PR References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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