Beschreibung:
This book presents simple interdisciplinary stochastic models meant as a gentle introduction to the field of non-equilibrium statistical physics. It focuses on the analysis of two-state models with cooperative effects, which are versatile enough to be applied to many physical and social systems. The book also explores a variety of mathematical techniques to solve the master equations that govern these models: matrix theory, empty-interval methods, mean field theory, a quantum approach, and mapping onto classical Ising models. The models discussed are at the confluence of nanophysics, biology, mathematics, and the social sciences and provide a pedagogical path toward understanding the complex dynamics of particle self-assembly with the tools of statistical physics.
Table of Contents: Preface / Acknowledgments / Author biographies / 1. From complex to simple: lattice models, agents, rules / 2. Stochastic cellular highways, random walks and the master equation / 3. Nanoparticle self-assembly on Cayley trees: a simple model of drug encapsulation in nanomedicine / 4. Nanoscience: a simple model for ionic self-assembly of nanoparticles / 5. Cooperative sequential adsorption models and the Ising model / 6. Two-dimensional growth models / 7. A quantum-mechanical approach to a stochastic epidemic-type model / 8. Exact solutions for general two-state stochastic models using matrix theory / 9. Multi-temperature kinetic Ising models and special matrices / 10. Conclusions