Quantum Geometry A Statistical Field Theory Approach [Hardcover]

Describes random geometry and applications to strings, quantum gravity, topological field theory and membrane physics.This book is about the influence of chance and fluctuating shape in quantum physics. It covers new research in some of the most exciting developments in modern physics, including string theory, gravity theory, and membrane physics. As a research text, the book is technical, but the authors have taken great care to focus on general methods with the widest possible applications. The authors are all highly respected for their original work in this area. The text will be of interest to graduate students and researchers in theoretical physics, particle physics, cosmology and mathematics.This book is about the influence of chance and fluctuating shape in quantum physics. It covers new research in some of the most exciting developments in modern physics, including string theory, gravity theory, and membrane physics. As a research text, the book is technical, but the authors have taken great care to focus on general methods with the widest possible applications. The authors are all highly respected for their original work in this area. The text will be of interest to graduate students and researchers in theoretical physics, particle physics, cosmology and mathematics.This graduate level text describes in a unified fashion the statistical mechanics of random walks, random surfaces and random higher dimensional manifolds with an emphasis on the geometrical aspects of the theory and applications to the quantization of strings, gravity and topological field theory. With chapters on random walks, random surfaces, two-and higher-dimensional quantum gravity, topological quantum field theories and Monte Carlo simulations of random geometries, the text provides a self-contained account of quantum geometry from a statistical field theory point of view. The approach uses discrete approximations and develops analytical and numerical tools. Continuum physics is relG