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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > The phase transition in Achlioptas processes
The phase transition in Achlioptas processesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact INI IT. SNAW01 - Graph limits and statistics The classical random graph process starts with a fixed set of n vertices and no edges. Edges are then added one-by-one, uniformly at random. One of the most interesting features of this process, established by Erdős and Rényi more than 50 years ago, is the phase transition near n/2 edges, where a single `giant' component emerges from a sea of small components. This example serves as a starting point for understanding phase transitions in a wide variety of other contexts. Around 2000, Dimitris Achlioptas suggested an innocent-sounding variation of the model: at each stage two edges are selected at random, but only one is added, the choice depending on (typically) the sizes of the components it would connect. This may seem like a small change, but these processes do not have the key independence property that underlies our understanding of the classical process. One can ask many questions about Achlioptas processes; the most interesting concern the phase transition: does the critical value change from n/2? Is the nature of the transition the same or not? I will describe a number of results on these questions from joint work with Lutz Warnke. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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