Convergence of graphs: graphons and growth models
In this talk we will discuss two different approaches to proving that a sequence of (random) graphs converges to some limit object.
Firstly, we will introduce a class of functions known as graphons, which can be thought of as uncountable graphs. We will discuss how to define a sensible probabilitistic notion of graph convergence, and how to utilize the link between graphs and graphons to translate this notion to the somewhat “nicer” space of graphons in order to prove that a sequence of graphs converges. Secondly, we will point towards limitations in the above approach and discuss how the Gromov-Hausdorff-Prokhorov metric can be a useful alternative, limiting the discussion to sequences of trees. If time permits we will end the talk by introducing some concrete examples of convergent sequences of random graphs. The talk is meant to be introductory and will not rely on any previous knowledge of graphs or graph convergence.
Date:
7 March 2019, 12:00 (Thursday, 8th week, Hilary 2019)
Venue:
24-29 St Giles', 24-29 St Giles' OX1 3LB
Venue Details:
Small Lecture Theatre, Department of Statistics
Speaker:
Frederik Sørensen (University of Oxford)
Organising department:
Mathematical Institute
Organiser contact email address:
aaron.smith@magd.ox.ac.uk
Part of:
Junior Probability Seminar
Booking required?:
Not required
Audience:
Public
Editor:
Aaron Smith
