Thư viện Trường Đại học Phú Xuân
Advanced Statistical Mechanics

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
  1. 01: Classical mechanics
  2. 1.01: The Lagrangian Formulation of Classical Mechanics
  3. 1.02: The Hamiltonian formulation of classical mechanics
  4. 1.03: The Microscopic Laws of Motion
  5. 1.04: Phase Space
  6. 1.05: Classical microscopic states or microstates and ensembles
  7. 1.06: Phase space distribution functions and Liouville's theorem
  8. 02: Foundations of classical statistical mechanics
  9. 2.01: The Ensemble Concept (Heuristic Definition)
  10. 2.02: Liouville's Theorem for non-Hamiltonian systems
  11. 2.03: The Liouville Operator and the Poisson Bracket
  12. 2.04: Equilibrium ensembles
  13. 03: The Microcanonical Ensemble
  14. 3.01: Basic Thermodynamics
  15. 3.02: The Partition Function
  16. 3.03: The Classical Virial Theorem (Microcanonical Derivation)
  17. 04: The canonical ensemble
  18. 4.01: Classical Virial Theorem (canonical ensemble derivation)
  19. 4.02: Legendre Transforms
  20. 4.03: Relation between Canonical and Microcanonical Ensembles
  21. 4.04: Preservation of Phase Space Volume and Liouville's Theorem
  22. 4.05: Energy Fluctuations in the Canonical Ensemble
  23. 05: The Isothermal-Isobaric Ensemble
  24. 5.01: Basic Thermodynamics
  25. 5.02: Pressure and Work Virial Theorems
  26. 5.03: The partition function and relation to thermodynamics
  27. 5.04: Temperature and pressure estimators
  28. 06: The Grand Canonical Ensemble
  29. 6.01: Thermodynamics
  30. 6.02: Partition Functions
  31. 6.03: Ideal Gas
  32. 6.04: Particle Number Fluctuations
  33. 07: Distribution Functions and Liquid Structure
  34. 7.01: General Formulation of Distribution Functions
  35. 7.02: General Distribution Functions and Correlation Functions
  36. 7.03: Structure and distribution functions in classical liquids and gases
  37. 7.04: General Correlation Functions
  38. 7.05: Thermodynamic quantities in terms of g(r)
  39. 7.06: The Pair Correlation Function
  40. 7.07: Derivation of the Van der Waals equation
  41. 08: Rare-event sampling and free energy calculations
  42. 8.02: Free-energy Perturbation Theory
  43. 8.03: Adiabatic Switching and Thermodynamic Integration
  44. 8.04: Reaction Coordinates
  45. 8.05: Jarzynski's Equality and Nonequilibrium Methods
  46. 8.06: The blue moon'' Ensemble Approach
  47. 09: Review of the basic postulates of quantum mechanics
  48. 9.01: Measurement
  49. 9.02: Physical Observables
  50. 9.03: The Fundamental Postulates of Quantum Mechanics
  51. 9.04: The Heisenberg Picture
  52. 9.05: The Heisenberg Uncertainty Principle
  53. 9.06: The Physical State of a Quantum System
  54. 9.07: Time Evolution of the State Vector
  55. 10: Fundamentals of quantum statistical mechanics
  56. 10.01: Principles of quantum statistical mechanics
  57. 10.02: The Density Matrix and Density Operator
  58. 10.03: Time evolution of the density operator
  59. 10.04: A simple example - the quantum harmonic oscillator
  60. 10.05: The quantum equilibrium ensembles
  61. 10.5.01: The microcanonical ensemble
  62. 10.5.02: The canonical ensemble
  63. 10.5.03: Isothermal-isobaric and grand canonical ensembles
  64. 11: Introduction to path integrals in quantum mechanics and quantum statistical mechanics
  65. 11.01: Discretized and Continuous Path Integrals
  66. 11.1.01: Derivation of the Discretized Path Integral
  67. 11.1.02: Doing the Path Integral - the Free Particle
  68. 11.1.03: Dominant Paths in the Propagator and Density Matrix
  69. 11.1.04: The Continuous Limit
  70. 11.02: Calculation of observables from path integrals
  71. 11.2.01: Expectation values of observables
  72. 11.2.02: Path integrals for N-particle systems
  73. 11.2.03: Path integral molecular dynamics (optional reading)
  74. 11.2.04: Thermodynamics from path integrals
  75. 11.03: Expansion about the classical path and stationary phase
  76. 11.3.01: The harmonic Oscillator - Expansion about the Classical Path
  77. 11.3.02: The Stationary Phase Approximation
  78. 12: Time-dependent Processes - Classical case
  79. 12.01: Perturbative solution of the Liouville equation
  80. 12.02: Kubo Transform Expression for the Time Correlation Function
  81. 12.03: Generalized Equations of Motion
  82. 12.04: General Properties of Time Correlation Functions
  83. 12.05: Perturbative solution of the Liouville equation
  84. 12.06: The Onsager Fluctuation Regression Theorem
  85. 12.07: Relation to Spectra
  86. 12.08: Time Correlation Functions and Transport Coefficients
  87. 12.8.01: Shear Viscosity
  88. 12.8.02: The Diffusion Constant
  89. 13: Time-dependent Processes - Quantum Case
  90. 13.01: Calculation of spectra from perturbation theory
  91. 13.1.01: The Hamiltonian
  92. 13.1.02: The Transition Rate
  93. 13.1.03: Examples
  94. 13.02: Iterative solution for the interaction-picture state vector
  95. 13.03: The Interaction Picture
  96. 13.04: Fermi's Golden Rule
  97. 13.05: Quantum Linear Response Theory
  98. 14: The Langevin and Generalized Langevin equations
  99. 14.01: The harmonic bath Hamiltonian
  100. 14.02: The Random Force Term
  101. 14.03: The Dynamic Friction Kernel
  102. 14.04: Relation between the Dynamic Friction Kernel and the Random Force
  103. 14.05: Derivation of the GLE
  104. 14.06: Mori-Zwanzig Theory- A more general derivation of the GLE
  105. 14.07: Example- Vibrational dephasing and energy relaxation