
Dynamics on Graphs by Richard Durrett
This book is an extensive revision of the 2007 book Random Graph Dynamics. In contrast to the first edition, the new version considers a small number of types of graphs, primarily the configuration model and inhomogeneous random graphs, but investigates a wide variety of dynamics. It describes results on convergence to equilibrium for random walks on random graphs as well as topics that have emerged as mature research areas since the publication of the first edition, such as epidemics, the contact process, voter models, and coalescing random walk. Furthermore, Chapter 8 discusses a new, challenging, and largely uncharted direction: systems in which the graph and the states of their vertices coevolve.
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Foundations of Modern Probability
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Geometry of Level Sets of Random Fields, Kac–Rice Formulas, Hermite Expansions and Applications
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Hybrid Switching Diffusions
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Nonlinear Expectations and Stochastic Calculus under Uncertainty
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Probability on Compact Lie Groups
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Measure-Valued Branching Markov Processes
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Pseudo-Regularly Varying Functions and Generalized Renewal Processes
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Stochastic Disorder Problems
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Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes
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Analysis and Approximation of Rare Events
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Random Ordinary Differential Equations and Their Numerical Solution
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Stochastic Evolution Systems
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Ambit Stochastics
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Mathematical Control Theory for Stochastic Partial Differential Equations
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Dirichlet Forms Methods for Poisson Point Measures and Levy Processes
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Lectures on Monte Carlo Theory
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Stochastic Control Theory
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Random Measures, Theory and Applications
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Yosida Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
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Random Walks in the Quarter Plane
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Stochastic Flows and Jump-Diffusions
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Stochastic Multi-Stage Optimization
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The Quasispecies Equation and Classical Population Models
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Asymptotic Theory of Weakly Dependent Random Processes
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Stable Convergence and Stable Limit Theorems
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Stochastic Integration in Banach Spaces
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Continuous-Time Markov Decision Processes
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Dynamic Markov Bridges and Market Microstructure
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Limit Theorems for Multi-Indexed Sums of Random Variables
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Markov Renewal and Piecewise Deterministic Processes
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Convex Stochastic Optimization
Rick Durrett received his Ph.D. in Operations Research from Stanford University in 1976. After nine years at UCLA, where he worked closely with Tom Liggett, he moved to Cornell to join a probability group with Harry Kesten, Frank Spitzer, and Eugene Dynkin. Twenty‑five years and two children later, he moved to Duke, where he was a James B. Duke Professor of Mathematics until he retired on July 1, 2023. He is the author of eight books and more than 240 journal articles. He was elected a member of the National Academy of Sciences in 2007. During his career he has supervised 51 Ph.D. students, mentored three dozen postdocs, and introduced a large number of undergraduates to mathematical research through one‑on‑one mentoring and summer research programs.
| SKU | Unavailable |
| ISBN 13 | 9783032219077 |
| ISBN 10 | 3032219078 |
| Title | Dynamics on Graphs |
| Author | Richard Durrett |
| Series | Probability Theory And Stochastic Modelling |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2026-06-10 |
| Number of pages | 376 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






























