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.
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