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Remains accessible but incorporates a rigorous mathematical
treatment with clarity and emphasizing a contemporary style and a
rejuvenated approach Presents a student-friendly and self-contained
structure Balances theory and worked examples
This book provides an ideal introduction to the use of Feynman path
integrals in the fields of quantum mechanics and statistical
physics. It is written for graduate students and researchers in
physics, mathematical physics, applied mathematics as well as
chemistry. The material is presented in an accessible manner for
readers with little knowledge of quantum mechanics and no prior
exposure to path integrals. It begins with elementary concepts and
a review of quantum mechanics that gradually builds the framework
for the Feynman path integrals and how they are applied to problems
in quantum mechanics and statistical physics. Problem sets
throughout the book allow readers to test their understanding and
reinforce the explanations of the theory in real situations.
Features: Comprehensive and rigorous yet, presents an
easy-to-understand approach. Applicable to a wide range of
disciplines. Accessible to those with little, or basic,
mathematical understanding.
Choice Recommended Title, February 2020 This book explores quantum
field theory using the Feynman functional and diagrammatic
techniques as foundations to apply Quantum Field Theory to a broad
range of topics in physics. This book will be of interest not only
to condensed matter physicists but physicists in a range of
disciplines as the techniques explored apply to high-energy as well
as soft matter physics. Features: Comprehensive and rigorous, yet
presents an easy to understand approach Applicable to a wide range
of disciplines Accessible to those with little, or basic,
mathematical understanding
Statistical thermodynamics and the related domains of statistical
physics and quantum mechanics are very important in many fields of
research, including plasmas, rarefied gas dynamics, nuclear
systems, lasers, semiconductors, superconductivity, ortho- and
para-hydrogen, liquid helium, and so on. Statistical
Thermodynamics: Understanding the Properties of Macroscopic Systems
provides a detailed overview of how to apply statistical principles
to obtain the physical and thermodynamic properties of macroscopic
systems. Intended for physics, chemistry, and other science
students at the graduate level, the book starts with fundamental
principles of statistical physics, before diving into
thermodynamics. Going further than many advanced textbooks, it
includes Bose-Einstein, Fermi-Dirac statistics, and Lattice
dynamics as well as applications in polaron theory, electronic gas
in a magnetic field, thermodynamics of dielectrics, and magnetic
materials in a magnetic field. The book concludes with an
examination of statistical thermodynamics using functional
integration and Feynman path integrals, and includes a wide range
of problems with solutions that explain the theory.
Choice Recommended Title, February 2020 This book explores quantum
field theory using the Feynman functional and diagrammatic
techniques as foundations to apply Quantum Field Theory to a broad
range of topics in physics. This book will be of interest not only
to condensed matter physicists but physicists in a range of
disciplines as the techniques explored apply to high-energy as well
as soft matter physics. Features: Comprehensive and rigorous, yet
presents an easy to understand approach Applicable to a wide range
of disciplines Accessible to those with little, or basic,
mathematical understanding
Statistical thermodynamics and the related domains of statistical
physics and quantum mechanics are very important in many fields of
research, including plasmas, rarefied gas dynamics, nuclear
systems, lasers, semiconductors, superconductivity, ortho- and
para-hydrogen, liquid helium, and so on. Statistical
Thermodynamics: Understanding the Properties of Macroscopic Systems
provides a detailed overview of how to apply statistical principles
to obtain the physical and thermodynamic properties of macroscopic
systems. Intended for physics, chemistry, and other science
students at the graduate level, the book starts with fundamental
principles of statistical physics, before diving into
thermodynamics. Going further than many advanced textbooks, it
includes Bose-Einstein, Fermi-Dirac statistics, and Lattice
dynamics as well as applications in polaron theory, electronic gas
in a magnetic field, thermodynamics of dielectrics, and magnetic
materials in a magnetic field. The book concludes with an
examination of statistical thermodynamics using functional
integration and Feynman path integrals, and includes a wide range
of problems with solutions that explain the theory.
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