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Planar Maps, Random Walks and Circle Packing

École d'Été de Probabilités de Saint-Flour XLVIII - 2018

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About this book

This open access book focuses on the interplay between random walks on planar maps and Koebe’s circle packing theorem. Further topics covered include electric networks, the He–Schramm theorem on infinite circle packings, uniform spanning trees of planar maps, local limits of finite planar maps and the almost sure recurrence of simple random walks on these limits. One of its main goals is to present a self-contained proof that the uniform infinite planar triangulation (UIPT) is almost surely recurrent. Full proofs of all statements are provided.

A planar map is a graph that can be drawn in the plane without crossing edges, together with a specification of the cyclic ordering of the edges incident to each vertex. One widely applicable method of drawing planar graphs is given by Koebe’s circle packing theorem (1936). Various geometric properties of these drawings, such as existence of accumulation points and bounds on the radii, encode important probabilistic information, such as the recurrence/transience of simple random walks and connectivity of the uniform spanning forest. This deep connection is especially fruitful to the study of random planar maps.

The book is aimed at researchers and graduate students in mathematics and is suitable for a single-semester course; only a basic knowledge of graduate level probability theory is assumed.

Table of Contents

Frontmatter

Open Access

Chapter 1. Introduction
Abstract
A planar graph is a graph that can be drawn in the plane, with vertices represented by points and edges represented by non-crossing curves. There are many different ways of drawing any given planar graph and it is not clear what is a canonical method. One very useful and widely applicable method of drawing a planar graph is given by Koebe’s 1936 circle packing theorem , stated below. As we will see, various geometric properties of the circle packing drawing (such as existence of accumulation points and their structure, bounds on the radii of circles and so on) encode important probabilistic information (such as the recurrence/transience of the simple random walk, connectivity of the uniform spanning forest and much more). This deep connection is especially fruitful to the study of random planar maps. Indeed, one of the main goals of these notes is to present a self-contained proof that the so-called uniform infinite planar triangulation (UIPT) is almost surely recurrent.
Asaf Nachmias

Open Access

Chapter 2. Random Walks and Electric Networks
Abstract
An extremely useful tool and viewpoint for the study of random walks is Kirchhoff’s theory of electric networks. Our treatment here roughly follows, we also refer the reader for an in-depth comprehensive study.
Asaf Nachmias

Open Access

Chapter 3. The Circle Packing Theorem
Abstract
A graph G = (V, E) is planar if it can be properly drawn in the plane, that is, if there exists a mapping sending the vertices to distinct points of \(\mathbb {R}^2\) and edges to continuous curves between the corresponding vertices so that no two curves intersect, except at the vertices they share. We call such a mapping a proper drawing of G.
Asaf Nachmias

Open Access

Chapter 4. Parabolic and Hyperbolic Packings
Abstract
In this chapter we discuss countably infinite connected simple graphs that are locally finite , that is, the vertex degrees are finite. In a similar fashion to the previous chapter, an infinite planar graph is a connected infinite graph such that there exists a drawing of it in the plane. We recall that a drawing is a correspondence sending vertices to points of \(\mathbb {R}^2\) and edges to continuous curves between the corresponding vertices such that no two edges cross. An infinite planar map is an infinite planar graph equipped with a set of cyclic permutations {σ v : v ∈ V } of the neighbors of each vertex v, such that there exists a drawing of the graph which respects these permutations, that is, the clockwise order of edges emanating from a vertex v coincides with σ v.
Asaf Nachmias

Open Access

Chapter 5. Planar Local Graph Limits
Abstract
In order to study large random graphs it is mathematically natural and appealing to introduce an infinite limiting object and study its properties. In their seminal paper, Benjamini and Schramm (J Probab 6(23):1–13, 2001) introduced the notion of locally convergent graph sequences, which we now describe.
Asaf Nachmias

Open Access

Chapter 6. Recurrence of Random Planar Maps
Abstract
Our main goal in this chapter is to remove the bounded degrees assumption in Theorem 5.​2 and replace it with the assumption that the degree of the root has an exponential tail.
Asaf Nachmias

Open Access

Chapter 7. Uniform Spanning Trees of Planar Graphs
Abstract
Let G be a finite connected graph. A spanning tree T of G is a connected subgraph of G that contains no cycles and such that every vertex of G is incident to at least one edge of T. The set of spanning trees of a given finite connected graph is obviously finite and hence we may draw one uniformly at random. This random tree is called the uniform spanning tree (UST) of G. This model was first studied by Kirchhoff who gave a formula for the number of spanning trees of a given graph and provided a beautiful connection with the theory of electric networks. In particular, he showed that the probability that a given edge {x, y} of G is contained in the UST equals \(\mathcal {R}_{\mathrm {eff}}(x \leftrightarrow y; G)\); we prove this fundamental formula in Sect. 7.2 (see Theorem 7.2).
Asaf Nachmias

Open Access

Chapter 8. Related Topics
Abstract
In this chapter we briefly review some aspects of the literature on circle packing that unfortunately we do not have space to get into in depth in this course. We hope this will be useful as a guide to further reading.
Asaf Nachmias
Backmatter
Metadata
Title
Planar Maps, Random Walks and Circle Packing
Author
Prof. Asaf Nachmias
Copyright Year
2020
Electronic ISBN
978-3-030-27968-4
Print ISBN
978-3-030-27967-7
DOI
https://doi.org/10.1007/978-3-030-27968-4