Fast construction on a restricted budget
arXiv:2207.07251
Abstract
We introduce a model of a controlled random graph process. In this model, the edges of the complete graph are ordered randomly and then revealed, one by one, to a player called Builder. He must decide, immediately and irrevocably, whether to purchase each observed edge. The observation time is bounded by parameter , and the total budget of purchased edges is bounded by parameter . Builder's goal is to devise a strategy that, with high probability, allows him to construct a graph of purchased edges possessing a target graph property , all within the limitations of observation time and total budget. We show the following: (a) Builder has a strategy to achieve -vertex-connectivity at the hitting time for this property by purchasing at most edges for an explicit ; and a strategy to achieve minimum degree (slightly) after the threshold for minimum degree by purchasing at most edges (which is optimal). (b) Builder has a strategy to create a Hamilton cycle at the hitting time for Hamiltonicity by purchasing at most edges for an absolute constant ; this is optimal in the sense that cannot be arbitrarily close to . This substantially extends the classical hitting time result for Hamiltonicity due to Ajtai--Komlós--Szemerédi and Bollobás. (c) Builder has a strategy to create a perfect matching by time while purchasing at most edges (which is optimal). (d) Builder has a strategy to create a copy of a given -vertex tree if , and this is optimal; (e) For or , Builder has a strategy to create a copy of a cycle of length if , and this is optimal.
31 pages, 3 figures; minor changes and corrections