Introduction to statistical physics
 Responsibility
 Kerson Huang.
 Language
 English.
 Edition
 2nd ed.
 Imprint
 Boca Raton : CRC Press, c2010.
 Physical description
 xiii, 318 p. : ill. ; 25 cm.
Access
Available online
Engineering Library (Terman)
Stacks
Call number  Status 

QC174.8 .H82 2010  Unknown 
More options
Creators/Contributors
 Author/Creator
 Huang, Kerson, 1928
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 A Macroscopic View of Matter Viewing the World at Different Scales Thermodynamics The Thermodynamic Limit Thermodynamic Transformations Classic Ideal Gas First Law of Thermodynamics Magnetic Systems Heat and Entropy The Heat Equations Applications to Ideal Gas Carnot Cycle Second Law of Thermodynamics Absolute Temperature Temperature as Integrating Factor Entropy Entropy of Ideal Gas The Limits of Thermodynamics Using Thermodynamics The Energy Equation Some Measurable Coefficients Entropy and Loss TS Diagram Condition for Equilibrium Helmholtz Free Energy Gibbs Potential Maxwell Relations Chemical Potential Phase Transitions FirstOrder Phase Transition Condition for Phase Coexistence Clapeyron Equation Van der Waals Equation of State Virial Expansion Critical Point Maxwell Construction Scaling Nucleation and Spinodal Decomposition The Statistical Approach The Atomic View Random Walk Phase Space Distribution Function Ergodic Hypothesis Statistical Ensemble Microcanonical Ensemble Correct Boltzmann Counting Distribution Entropy: Boltzmann's H The Most Probable Distribution Information Theory: Shannon Entropy MaxwellBoltzmann Distribution Determining the Parameters Pressure of Ideal Gas Equipartition of Energy Distribution of Speed Entropy Derivation of Thermodynamics Fluctuations The Boltzmann Factor Time's Arrow Transport Phenomena Collisionless and Hydrodynamic Regimes Maxwell's Demon Nonviscous Hydrodynamics Sound Wave Diffusion Heat Conduction Viscosity NavierStokes Equation Canonical Ensemble Review of the Microcanonical Ensemble Classical Canonical Ensemble The Partition Function Connection with Thermodynamics Energy Fluctuations Minimization of Free Energy Classical Ideal Gas Grand Canonical Ensemble The Particle Reservoir Grand Partition Function Number Fluctuations Connection with Thermodynamics Parametric Equation of State and Virial Expansion Critical Fluctuations Pair Creation Noise Thermal Fluctuations Nyquist Noise Brownian Motion Einstein's Theory Diffusion Einstein's Relation Molecular Reality Fluctuation and Dissipation Brownian Motion of the Stock Market Stochastic Processes Randomness and Probability Binomial Distribution Poisson Distribution Gaussian Distribution Central Limit Theorem Shot Noise TimeSeries Analysis Ensemble of Paths Ensemble Average Power Spectrum and Correlation Function Signal and Noise Transition Probabilities Markov Process FokkerPlanck Equation The Monte Carlo Method Simulation of the Ising Model The Langevin Equation The Equation and Solution Energy Balance FluctuationDissipation Theorem Diffusion Coefficient and Einstein's Relation Transition Probability: FokkerPlanck Equation Heating by Stirring: Forced Oscillator in Medium Quantum Statistics Thermal Wavelength Identical Particles Occupation Numbers Spin Microcanonical Ensemble Fermi Statistics Bose Statistics Determining the Parameters Pressure Entropy Free Energy Equation of State Classical Limit Quantum Ensembles Incoherent Superposition of States Density Matrix Canonical Ensemble (QuantumMechanical) Grand Canonical Ensemble (QuantumMechanical) Occupation Number Fluctuations Photon Bunching The Fermi Gas Fermi Energy Ground State Fermi Temperature LowTemperature Properties Particles and Holes Electrons in Solids Semiconductors The Bose Gas Photons Bose Enhancement Phonons Debye Specific Heat Electronic Specific Heat Conservation of Particle Number BoseEinstein Condensation Macroscopic Occupation The Condensate Equation of State Specific Heat How a Phase Is Formed Liquid Helium The Order Parameter The Essence of Phase Transitions GinsburgLandau Theory Relation to Microscopic Theory Functional Integration and Differentiation SecondOrder Phase Transition MeanField Theory Critical Exponents The Correlation Length FirstOrder Phase Transition CahnHilliard Equation Superfluidity Condensate Wave Function Spontaneous Symmetry Breaking MeanField Theory Observation of BoseEinstein Condensation Quantum Phase Coherence Superfluid Flow Phonons: Goldstone Mode Superconductivity Meissner Effect Magnetic Flux Quantum Josephson Junction DC Josephson Effect AC Josephson Effect TimeDependent Vector Potential The SQUID Broken Symmetry Appendix Index Problems appear at the end of each chapter.
 (source: Nielsen Book Data)
 Publisher's Summary
 Written by a worldrenowned theoretical physicist, Introduction to Statistical Physics, Second Edition clarifies the properties of matter collectively in terms of the physical laws governing atomic motion. This second edition expands upon the original to include many additional exercises and more pedagogically oriented discussions that fully explain the concepts and applications. The book first covers the classical ensembles of statistical mechanics and stochastic processes, including Brownian motion, probability theory, and the FokkerPlanck and Langevin equations. To illustrate the use of statistical methods beyond the theory of matter, the author discusses entropy in information theory, Brownian motion in the stock market, and the Monte Carlo method in computer simulations. The next several chapters emphasize the difference between quantum mechanics and classical mechanicsthe quantum phase. Applications covered include Fermi statistics and semiconductors and Bose statistics and BoseEinstein condensation. The book concludes with advanced topics, focusing on the GinsburgLandau theory of the order parameter and the special kind of quantum order found in superfluidity and superconductivity. Assuming some background knowledge of classical and quantum physics, this textbook thoroughly familiarizes advanced undergraduate students with the different aspects of statistical physics. This updated edition continues to provide the tools needed to understand and work with random processes.
(source: Nielsen Book Data)
Subjects
 Subject
 Statistical physics.
Bibliographic information
 Publication date
 2010
 Title Variation
 Statistical physics
 Note
 "A Chapman & Hall book."
 ISBN
 9781420079029 (hardcover : alk. paper)
 1420079026 (hardcover : alk. paper)