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Peeling Random Planar Maps

Peeling Random Planar Maps
Author: Nicolas Curien
Publisher: Springer Nature
Total Pages: 293
Release: 2023-11-20
Genre: Mathematics
ISBN: 3031368541

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These Lecture Notes provide an introduction to the study of those discrete surfaces which are obtained by randomly gluing polygons along their sides in a plane. The focus is on the geometry of such random planar maps (diameter, volume growth, scaling and local limits...) as well as the behavior of statistical mechanics models on them (percolation, simple random walks, self-avoiding random walks...). A “Markovian” approach is adopted to explore these random discrete surfaces, which is then related to the analogous one-dimensional random walk processes. This technique, known as "peeling exploration" in the literature, can be seen as a generalization of the well-known coding processes for random trees (e.g. breadth first or depth first search). It is revealed that different types of Markovian explorations can yield different types of information about a surface. Based on an École d'Été de Probabilités de Saint-Flour course delivered by the author in 2019, the book is aimed at PhD students and researchers interested in graph theory, combinatorial probability and geometry. Featuring open problems and a wealth of interesting figures, it is the first book to be published on the theory of random planar maps.


Sojourns in Probability Theory and Statistical Physics - III

Sojourns in Probability Theory and Statistical Physics - III
Author: Vladas Sidoravicius
Publisher: Springer Nature
Total Pages: 341
Release: 2019-10-17
Genre: Mathematics
ISBN: 9811503028

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Charles M. (Chuck) Newman has been a leader in Probability Theory and Statistical Physics for nearly half a century. This three-volume set is a celebration of the far-reaching scientific impact of his work. It consists of articles by Chuck’s collaborators and colleagues across a number of the fields to which he has made contributions of fundamental significance. This publication was conceived during a conference in 2016 at NYU Shanghai that coincided with Chuck's 70th birthday. The sub-titles of the three volumes are: I. Spin Glasses and Statistical Mechanics II. Brownian Web and Percolation III. Interacting Particle Systems and Random Walks The articles in these volumes, which cover a wide spectrum of topics, will be especially useful for graduate students and researchers who seek initiation and inspiration in Probability Theory and Statistical Physics.


In and Out of Equilibrium 3: Celebrating Vladas Sidoravicius

In and Out of Equilibrium 3: Celebrating Vladas Sidoravicius
Author: Maria Eulália Vares
Publisher: Springer Nature
Total Pages: 819
Release: 2021-03-25
Genre: Mathematics
ISBN: 3030607542

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This is a volume in memory of Vladas Sidoravicius who passed away in 2019. Vladas has edited two volumes appeared in this series ("In and Out of Equilibrium") and is now honored by friends and colleagues with research papers reflecting Vladas' interests and contributions to probability theory.


Critical and Subcritical Scaling Limits of Random Planar Maps with Connectivity Constraints

Critical and Subcritical Scaling Limits of Random Planar Maps with Connectivity Constraints
Author: Yuting Wen
Publisher:
Total Pages:
Release: 2016
Genre:
ISBN:

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"In the first part, we show that a uniform quadrangulation, its largest 2-connected block, and its largest simple block, upon rescaling the graph distance properly, jointly converge to the same Brownian map in distribution for the Gromov-Hausdorff-Prokhorov topology. We start by deriving a local limit theorem for the asymptotics of maximal block sizes, extending the result by Banderier, Flajolet, Schaeffer & Soria[16]. The resulting diameter bounds for pendant submaps of random quadrangulations straightforwardly lead to Gromov-Hausdorff convergence. To extend the convergence to the Gromov-Hausdorff-Prokhorov topology, we show that exchangeable "uniformly asymptotically negligible" attachments of mass simply yield, in the limit, a deterministic scaling of the mass measure. In the second part, for each n ∈ N, let Qn be a uniform rooted measured quadrangulation of size n conditioned to have r(n) vertices in its root block. We prove that for a suitable function r(n), after rescaling graph distance by $\left(\frac{21}{40\cdot r(n)}\right)^{1/4}$, with an appropriate rescaling of measure, Qn converges to a random pointed measured non-compact metric space S, in the local Gromov-Hausdorff-Prokhorov topology; the space S is built by identifying a uniform point of the Brownian map with the distinguished point of the Brownian plane. Our result relies upon both the convergence of uniform quadrangulations towards the Brownian plane by Curien & Le Gall[30], and the convergence of uniform 2-connected quadrangulations to the Brownian map, proved in the first part of the thesis. The main steps of the proof are as follows. First, we show that the sizes of submaps pendant to the root block have an asymptotically stable distribution. Second, we deduce asymptotics for occupancy in a random allocation model with a varying balls-to-boxes ratio. Third, we establish a bound for the number of pendant submaps of the root block, which allows us to apply the occupancy bounds to uniformly control the sizes of pendant submaps. This entails that the pendant submaps act as uniformly asymptotically negligible "decorations" which do not affect the scaling limit." --


Elementary Introduction to Quantum Geometry

Elementary Introduction to Quantum Geometry
Author: Jan Ambjorn
Publisher: CRC Press
Total Pages: 292
Release: 2022-11-02
Genre: Mathematics
ISBN: 100077600X

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This graduate textbook provides an introduction to quantum gravity, when spacetime is two-dimensional. The quantization of gravity is the main missing piece of theoretical physics, but in two dimensions it can be done explicitly with elementary mathematical tools, but it still has most of the conceptional riddles present in higher dimensional (not yet known) quantum gravity. It provides an introduction to a very interdisciplinary field, uniting physics (quantum geometry) and mathematics (combinatorics) in a non-technical way, requiring no prior knowledge of quantum field theory or general relativity. Using the path integral, the chapters provide self-contained descriptions of random walks, random trees and random surfaces as statistical systems where the free relativistic particle, the relativistic bosonic string and two-dimensional quantum gravity are obtained as scaling limits at phase transition points of these statistical systems. The geometric nature of the theories allows one to perform the path integral by counting geometries. In this way the quantization of geometry becomes closely linked to the mathematical fields of combinatorics and probability theory. By counting the geometries, it is shown that the two-dimensional quantum world is fractal at all scales unless one imposes restrictions on the geometries. It is also discussed in simple terms how quantum geometry and quantum matter can interact strongly and change the properties both of the geometries and of the matter systems. It requires only basic undergraduate knowledge of classical mechanics, statistical mechanics and quantum mechanics, as well as some basic knowledge of mathematics at undergraduate level. It will be an ideal textbook for graduate students in theoretical and statistical physics and mathematics studying quantum gravity and quantum geometry. Key features: Presents the first elementary introduction to quantum geometry Explores how to understand quantum geometry without prior knowledge beyond bachelor level physics and mathematics. Contains exercises, problems and solutions to supplement and enhance learning


Introduction to Random Graphs

Introduction to Random Graphs
Author: Alan Frieze
Publisher: Cambridge University Press
Total Pages: 483
Release: 2016
Genre: Mathematics
ISBN: 1107118506

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The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.


Mathematics and Computer Science

Mathematics and Computer Science
Author: Daniele Gardy
Publisher: Birkhäuser
Total Pages: 337
Release: 2012-12-06
Genre: Mathematics
ISBN: 3034884052

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This is the first book where mathematics and computer science are directly confronted and joined to tackle intricate problems in computer science with deep mathematical approaches. It contains a collection of refereed papers presented at the Colloquium on Mathematics and Computer Science held at the University of Versailles-St-Quentin on September 18-20, 2000. The colloquium was a meeting place for researchers in mathematics and computer science and thus an important opportunity to exchange ideas and points of view, and to present new approaches and new results in the common areas such as algorithms analysis, trees, combinatorics, optimization, performance evaluation and probabilities. The book is intended for a large public in applied mathematics, discrete mathematics and computer science, including researchers, teachers, graduate students and engineers. It provides an overview of the current questions in computer science and related modern mathematical methods. The range of applications is very wide and reaches beyond computer science.


Computational Geometry

Computational Geometry
Author: Franco P. Preparata
Publisher: Springer Science & Business Media
Total Pages: 413
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461210984

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From the reviews: "This book offers a coherent treatment, at the graduate textbook level, of the field that has come to be known in the last decade or so as computational geometry. ... ... The book is well organized and lucidly written; a timely contribution by two founders of the field. It clearly demonstrates that computational geometry in the plane is now a fairly well-understood branch of computer science and mathematics. It also points the way to the solution of the more challenging problems in dimensions higher than two." #Mathematical Reviews#1 "... This remarkable book is a comprehensive and systematic study on research results obtained especially in the last ten years. The very clear presentation concentrates on basic ideas, fundamental combinatorial structures, and crucial algorithmic techniques. The plenty of results is clever organized following these guidelines and within the framework of some detailed case studies. A large number of figures and examples also aid the understanding of the material. Therefore, it can be highly recommended as an early graduate text but it should prove also to be essential to researchers and professionals in applied fields of computer-aided design, computer graphics, and robotics." #Biometrical Journal#2


Graphical Models, Exponential Families, and Variational Inference

Graphical Models, Exponential Families, and Variational Inference
Author: Martin J. Wainwright
Publisher: Now Publishers Inc
Total Pages: 324
Release: 2008
Genre: Computers
ISBN: 1601981848

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The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate statistical models in the exponential family.


Information, Physics, and Computation

Information, Physics, and Computation
Author: Marc Mézard
Publisher: Oxford University Press
Total Pages: 584
Release: 2009-01-22
Genre: Computers
ISBN: 019857083X

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A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields.