Subgraph Games in the Semi-Random Graph Process and Its Generalization to Hypergraphs
Natalie C. Behague, Trent G. Marbach, Pawel Pralat, Andrzej Rucinski

TL;DR
This paper proves the conjecture that the semi-random graph process's upper bound for constructing a fixed graph G is sharp, and extends the analysis to hypergraphs, revealing thresholds based on degeneracy and addressing new challenges.
Contribution
It confirms the sharpness of the upper bound for constructing graphs in the semi-random process and generalizes the results to hypergraphs, including bounds for complex cases.
Findings
Proved the conjecture that the upper bound is sharp for all graphs G.
Extended the process analysis to s-uniform hypergraphs with thresholds based on degeneracy.
Provided bounds and thresholds for certain hypergraph families, including sparser hypergraphs.
Abstract
The semi-random graph process is a single-player game that begins with an empty graph on vertices. In each round, a vertex is presented to the player independently and uniformly at random. The player then adaptively selects a vertex and adds the edge to the graph. For a fixed monotone graph property, the objective of the player is to force the graph to satisfy this property with high probability in as few rounds as possible. We focus on the problem of constructing a subgraph isomorphic to an arbitrary, fixed graph . Let be any function tending to infinity as . In (Omri Ben-Eliezer et al. "Semi-random graph process". In: Random Structures & Algorithms 56.3 (2020), pp. 648-675) it was proved that asymptotically almost surely one can construct in less than rounds where is the degeneracy of . It…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Limits and Structures in Graph Theory
