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Statistical Mechanics in a Nutshell
Statistical Mechanics in a Nutshell
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A01=Luca Peliti
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Approximation
Author_Luca Peliti
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Big O notation
Boltzmann distribution
Calculation
Canonical ensemble
Category1=Non-Fiction
Category=PHD
Category=PHQ
Category=PHS
Chemical potential
Coherence length
COP=United States
Correlation function
Correlation function (quantum field theory)
Critical exponent
Degrees of freedom (mechanics)
Degrees of freedom (statistics)
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Derivative
Diagram (category theory)
Dimension
Dirac delta function
Division by zero
Eigenvalues and eigenvectors
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Equation
Equation of state
Fermion
Fourier transform
Free energy
Fugacity
Gaussian integral
Gibbs free energy
Gibbs–Duhem equation
Grand canonical ensemble
Heat capacity
Helmholtz free energy
Ideal gas
Initial condition
Instant
Intensive and extensive properties
Internal energy
Ising model
Language_English
Logarithm
Magnetic field
Magnetic susceptibility
Magnetization
Markov chain
Mean field theory
Molecule
Monte Carlo method
Normal distribution
Observable
Order of magnitude
PA=Available
Partition function (statistical mechanics)
Percolation
Phase space
Phase transition
Phonon
Power law
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Probability
Probability distribution
PS=Active
Quantity
Renormalization
Result
softlaunch
Statistical mechanics
Statistical physics
Taylor series
Temperature
Theory
Thermodynamic equilibrium
Thermodynamic limit
Thermodynamic system
Thermodynamics
Variable (mathematics)
Variational principle
Wave vector
Product details
- ISBN 9780691145297
- Weight: 1021g
- Dimensions: 178 x 254mm
- Publication Date: 28 Aug 2011
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
- Language: English
Statistical mechanics is one of the most exciting areas of physics today, and it also has applications to subjects as diverse as economics, social behavior, algorithmic theory, and evolutionary biology. Statistical Mechanics in a Nutshell offers the most concise, self-contained introduction to this rapidly developing field. Requiring only a background in elementary calculus and elementary mechanics, this book starts with the basics, introduces the most important developments in classical statistical mechanics over the last thirty years, and guides readers to the very threshold of today's cutting-edge research. Statistical Mechanics in a Nutshell zeroes in on the most relevant and promising advances in the field, including the theory of phase transitions, generalized Brownian motion and stochastic dynamics, the methods underlying Monte Carlo simulations, complex systems--and much, much more. The essential resource on the subject, this book is the most up-to-date and accessible introduction available for graduate students and advanced undergraduates seeking a succinct primer on the core ideas of statistical mechanics.
* Provides the most concise, self-contained introduction to statistical mechanics * Focuses on the most promising advances, not complicated calculations * Requires only elementary calculus and elementary mechanics * Guides readers from the basics to the threshold of modern research * Highlights the broad scope of applications of statistical mechanics
Luca Peliti is professor of statistical mechanics at the University of Naples Federico II in Italy. His books include "Biologically Inspired Physics".
Statistical Mechanics in a Nutshell
€100.99
