AMS special session, Unimodularity in randomly generated graphs, October 8-9, 2016, Denver, Colorado /
Florian Sobieczky, editor.
[Providence, Rhode Island] :
American Mathematical Society,
[2018]
x, 211 pages :
illustrations ;
26 cm.
Contemporary mathematics ;
719
Includes bibliographical references.
Monotonicity of average return probabilities for random walks in random environments / Russell Lyons -- Counterexamples for percolation on unimodular random graphs / Omer Angel and Tom Hutchcroft -- Invariant p-percolation on regular trees / Itai Benjamini and Ori Gurel-Gurevich -- Sparse graph limits along balls / Itai Benjamini and Gabor Elek -- Percolation and coarse conformal uniformization / \itai Benjamini -- Invariant tilings and unimodular decorations of Cayley graphs / Adam Timar -- Distributional lattices on Riemannian symmetric spaces / Elliot Paquette -- Eternal family trees and dynamics on unimodular random graphs / Francois Baccelli, Mir-Omid Haji-Mirsadeghi, and Ali Khezeli -- Circular slider graphs: de Bruijn, Kautz, Rauzy, lamplighters and spiders / Vadim A. Kaimanovich -- All properly ergodic Markov chains over a free group are orbit equivalent / Lewis Bowen -- Shift-coupling of random rooted graphs and networks / Ali Khezeli.
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Graph theory, Congresses.
Random graphs, Congresses.
Dynamical systems and ergodic theory -- Ergodic theory -- Entropy and other invariants, isomorphism, classification.
Dynamical systems and ergodic theory -- Ergodic theory -- Measure-preserving transformations.
Graph theory.
Probability theory and stochastic processes -- Combinatorial probability -- Combinatorial probability.
Probability theory and stochastic processes -- Markov processes -- Transition functions, generators and resolvents.
Probability theory and stochastic processes -- Special processes -- Interacting random processes; statistical mechanics type models; percolation theory.
Probability theory and stochastic processes -- Special processes -- Processes in random environments.
Probability theory and stochastic processes -- Stochastic processes -- Point processes.