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Part I, Bertoin, J.: Subordinators: Examples and Applications: Foreword.- Elements on subordinators.- Regenerative property.- Asymptotic behaviour of last passage times.- Rates of growth of local time.- Geometric properties of regenerative sets.- Burgers equation with Brownian initial velocity.- Random covering.- Lévy processes.- Occupation times of a linear Brownian motion.- Part II, Martinelli, F.: Lectures on Glauber Dynamics for Discrete Spin Models: Introduction.- Gibbs Measures of Lattice Spin Models.- The Glauber Dynamics.- One Phase Region.- Boundary Phase Transitions.- Phase Coexistence.- Glauber Dynamics for the Dilute Ising Model.- Part III, Peres, Yu.: Probability on Trees: An Introductory Climb: Preface.- Basic Definitions and a Few Highlights.- Galton-Watson Trees.- General percolation on a connected graph.- The first-Moment method.- Quasi-independent Percolation.- The second Moment Method.- Electrical Networks.- Infinite Networks.- The Method of Random Paths.- Transience of Percolation Clusters.- Subperiodic Trees.- The Random Walks RW (lambda).- Capacity.-.Intersection-Equivalence.- Reconstruction for the Ising Model on a Tree,- Unpredictable Paths in Z and EIT in Z3.- Tree-Indexed Processes.- Recurrence for Tree-Indexed Markov Chains.- Dynamical Pecsolation.- Stochastic Domination Between Trees.
This volume presents advanced lectures on probability theory and statistics, covering three distinct areas of contemporary research. The first part, by J. Bertoin, explores subordinators, their properties, and applications, including asymptotic behavior and Lévy processes. F. Martinelli's contribution details the Glauber dynamics for discrete spin models, focusing on Gibbs measures and phase transitions. Finally, Yu. Peres offers an introductory exploration of probability on trees, discussing Galton-Watson trees, percolation theory, electrical networks, and random walks.
This collection of lectures offers specialized insights into advanced topics in probability theory and statistics. The detailed coverage of subordinators, spin models, and probability on trees suggests a text aimed at researchers and advanced graduate students in mathematics and theoretical physics. The comprehensive nature of the individual parts indicates a resource for in-depth study of these specific fields.
Page Count:
289
Publication Date:
2000-01-01
ISBN-10:
3540665935
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