A user-friendly introduction for mathematicians to some of the principal stochastic models near the interface of probability and physics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Geoffrey Grimmett is Professor of Mathematical Statistics in the Statistical Laboratory at the University of Cambridge. He has written numerous research articles in probability theory, as well as popular research books on percolation and the random-cluster model. In addition, he is a co-author, along with David Stirzaker and Dominic Welsh, of two successful textbooks on probability and random processes at the undergraduate and postgraduate levels. He has served as Master of Downing College since 2013 and was elected to the Royal Society in 2014.
Inhaltsangabe
Preface 1. Random walks on graphs 2. Uniform spanning tree 3. Percolation and self-avoiding walk 4. Association and influence 5. Further percolation 6. Contact process 7. Gibbs states 8. Random-cluster model 9. Quantum Ising model 10. Interacting particle systems 11. Random graphs 12. Lorentz gas References Index.
Preface 1. Random walks on graphs 2. Uniform spanning tree 3. Percolation and self-avoiding walk 4. Association and influence 5. Further percolation 6. Contact process 7. Gibbs states 8. Random-cluster model 9. Quantum Ising model 10. Interacting particle systems 11. Random graphs 12. Lorentz gas References Index.
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