
Nguồn ngoài
Advanced Statistical Mechanics
Statistical Mechanics provides the connection between microscopic motion of individual atoms of matter and macroscopically observable properties such as temperature, pressure, entropy, free energy, heat capacity, chemical potential, viscosity, spectra, reaction rates, etc.
- Tác giả
- Mark Tuckerman
- Nhà xuất bản
- New York University
- Nguồn
- LibreTexts
- Giấy phép
- CC BY-NC-SA
- Ngôn ngữ
- EN
- Danh mục
- Khoa học cơ bản
Mục lục· 105 mục
- 01: Classical mechanics
- 1.01: The Lagrangian Formulation of Classical Mechanics
- 1.02: The Hamiltonian formulation of classical mechanics
- 1.03: The Microscopic Laws of Motion
- 1.04: Phase Space
- 1.05: Classical microscopic states or microstates and ensembles
- 1.06: Phase space distribution functions and Liouville's theorem
- 02: Foundations of classical statistical mechanics
- 2.01: The Ensemble Concept (Heuristic Definition)
- 2.02: Liouville's Theorem for non-Hamiltonian systems
- 2.03: The Liouville Operator and the Poisson Bracket
- 2.04: Equilibrium ensembles
- 03: The Microcanonical Ensemble
- 3.01: Basic Thermodynamics
- 3.02: The Partition Function
- 3.03: The Classical Virial Theorem (Microcanonical Derivation)
- 04: The canonical ensemble
- 4.01: Classical Virial Theorem (canonical ensemble derivation)
- 4.02: Legendre Transforms
- 4.03: Relation between Canonical and Microcanonical Ensembles
- 4.04: Preservation of Phase Space Volume and Liouville's Theorem
- 4.05: Energy Fluctuations in the Canonical Ensemble
- 05: The Isothermal-Isobaric Ensemble
- 5.01: Basic Thermodynamics
- 5.02: Pressure and Work Virial Theorems
- 5.03: The partition function and relation to thermodynamics
- 5.04: Temperature and pressure estimators
- 06: The Grand Canonical Ensemble
- 6.01: Thermodynamics
- 6.02: Partition Functions
- 6.03: Ideal Gas
- 6.04: Particle Number Fluctuations
- 07: Distribution Functions and Liquid Structure
- 7.01: General Formulation of Distribution Functions
- 7.02: General Distribution Functions and Correlation Functions
- 7.03: Structure and distribution functions in classical liquids and gases
- 7.04: General Correlation Functions
- 7.05: Thermodynamic quantities in terms of g(r)
- 7.06: The Pair Correlation Function
- 7.07: Derivation of the Van der Waals equation
- 08: Rare-event sampling and free energy calculations
- 8.02: Free-energy Perturbation Theory
- 8.03: Adiabatic Switching and Thermodynamic Integration
- 8.04: Reaction Coordinates
- 8.05: Jarzynski's Equality and Nonequilibrium Methods
- 8.06: The blue moon'' Ensemble Approach
- 09: Review of the basic postulates of quantum mechanics
- 9.01: Measurement
- 9.02: Physical Observables
- 9.03: The Fundamental Postulates of Quantum Mechanics
- 9.04: The Heisenberg Picture
- 9.05: The Heisenberg Uncertainty Principle
- 9.06: The Physical State of a Quantum System
- 9.07: Time Evolution of the State Vector
- 10: Fundamentals of quantum statistical mechanics
- 10.01: Principles of quantum statistical mechanics
- 10.02: The Density Matrix and Density Operator
- 10.03: Time evolution of the density operator
- 10.04: A simple example - the quantum harmonic oscillator
- 10.05: The quantum equilibrium ensembles
- 10.5.01: The microcanonical ensemble
- 10.5.02: The canonical ensemble
- 10.5.03: Isothermal-isobaric and grand canonical ensembles
- 11: Introduction to path integrals in quantum mechanics and quantum statistical mechanics
- 11.01: Discretized and Continuous Path Integrals
- 11.1.01: Derivation of the Discretized Path Integral
- 11.1.02: Doing the Path Integral - the Free Particle
- 11.1.03: Dominant Paths in the Propagator and Density Matrix
- 11.1.04: The Continuous Limit
- 11.02: Calculation of observables from path integrals
- 11.2.01: Expectation values of observables
- 11.2.02: Path integrals for N-particle systems
- 11.2.03: Path integral molecular dynamics (optional reading)
- 11.2.04: Thermodynamics from path integrals
- 11.03: Expansion about the classical path and stationary phase
- 11.3.01: The harmonic Oscillator - Expansion about the Classical Path
- 11.3.02: The Stationary Phase Approximation
- 12: Time-dependent Processes - Classical case
- 12.01: Perturbative solution of the Liouville equation
- 12.02: Kubo Transform Expression for the Time Correlation Function
- 12.03: Generalized Equations of Motion
- 12.04: General Properties of Time Correlation Functions
- 12.05: Perturbative solution of the Liouville equation
- 12.06: The Onsager Fluctuation Regression Theorem
- 12.07: Relation to Spectra
- 12.08: Time Correlation Functions and Transport Coefficients
- 12.8.01: Shear Viscosity
- 12.8.02: The Diffusion Constant
- 13: Time-dependent Processes - Quantum Case
- 13.01: Calculation of spectra from perturbation theory
- 13.1.01: The Hamiltonian
- 13.1.02: The Transition Rate
- 13.1.03: Examples
- 13.02: Iterative solution for the interaction-picture state vector
- 13.03: The Interaction Picture
- 13.04: Fermi's Golden Rule
- 13.05: Quantum Linear Response Theory
- 14: The Langevin and Generalized Langevin equations
- 14.01: The harmonic bath Hamiltonian
- 14.02: The Random Force Term
- 14.03: The Dynamic Friction Kernel
- 14.04: Relation between the Dynamic Friction Kernel and the Random Force
- 14.05: Derivation of the GLE
- 14.06: Mori-Zwanzig Theory- A more general derivation of the GLE
- 14.07: Example- Vibrational dephasing and energy relaxation