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· 제목 : Statistical Physics: Volume 1 of Modern Classical Physics (Paperback) 
· 분류 : 외국도서 > 과학/수학/생태 > 과학 > 물리학 > 일반
· ISBN : 9780691206127
· 쪽수 : 408쪽
· 출판일 : 2021-06-15
· 분류 : 외국도서 > 과학/수학/생태 > 과학 > 물리학 > 일반
· ISBN : 9780691206127
· 쪽수 : 408쪽
· 출판일 : 2021-06-15
목차
- List of Boxes
- Preface
- Contents of Modern Classical Physics, volumes 1?5
- PART I FOUNDATIONS
- 1 Newtonian Physics: Geometric Viewpoint
- 1.1 Introduction
- 1.1.1 The Geometric Viewpoint on the Laws of Physics
- 1.1.2 Purposes of This Chapter
- 1.1.3 Overview of This Chapter
- 1.2 Foundational Concepts
- 1.3 Tensor Algebra without a Coordinate System
- 1.4 Particle Kinetics and Lorentz Force in Geometric Language
- 1.5 Component Representation of Tensor Algebra
- 1.5.1 Slot-Naming Index Notation
- 1.5.2 Particle Kinetics in Index Notation
- 1.6 Orthogonal Transformations of Bases
- 1.7 Differentiation of Scalars, Vectors, and Tensors; Cross Product and Curl
- 1.8 Volumes, Integration, and Integral Conservation Laws
- 1.8.1 Gauss’s and Stokes’ Theorems
- 1.9 The Stress Tensor and Momentum Conservation
- 1.9.1 Examples: Electromagnetic Field and Perfect Fluid
- 1.9.2 Conservation of Momentum
- 1.10 Geometrized Units and Relativistic Particles for Newtonian Readers
- 1.10.1 Geometrized Units
- 1.10.2 Energy and Momentum of a Moving Particle
- Bibliographic Note
- 2 Special Relativity: Geometric Viewpoint
- 2.1 Overview
- 2.2 Foundational Concepts
- 2.2.1 Inertial Frames, Inertial Coordinates, Events, Vectors, and Spacetime Diagrams
- 2.2.2 The Principle of Relativity and Constancy of Light Speed
- 2.2.3 The Interval and Its Invariance
- 2.3 Tensor Algebra without a Coordinate System
- 2.4 Particle Kinetics and Lorentz Force without a Reference Frame
- 2.4.1 Relativistic Particle Kinetics: World Lines, 4-Velocity, 4-Momentum and Its Conservation, 4-Force
- 2.4.2 Geometric Derivation of the Lorentz Force Law
- 2.5 Component Representation of Tensor Algebra
- 2.5.1 Lorentz Coordinates
- 2.5.2 Index Gymnastics
- 2.5.3 Slot-Naming Notation
- 2.6 Particle Kinetics in Index Notation and in a Lorentz Frame
- 2.7 Lorentz Transformations
- 2.8 Spacetime Diagrams for Boosts
- 2.9 Time Travel
- 2.9.1 Measurement of Time; Twins Paradox
- 2.9.2 Wormholes
- 2.9.3 Wormhole as Time Machine
- 2.10 Directional Derivatives, Gradients, and the Levi-Civita Tensor
- 2.11 Nature of Electric and Magnetic Fields; Maxwell’s Equations
- 2.12 Volumes, Integration, and Conservation Laws
- 2.12.1 Spacetime Volumes and Integration
- 2.12.2 Conservation of Charge in Spacetime
- 2.12.3 Conservation of Particles, Baryon Number, and Rest Mass
- 2.13 Stress-Energy Tensor and Conservation of 4-Momentum
- 2.13.1 Stress-Energy Tenso
- 2.13.2 4-Momentum Conservation
- 2.13.3 Stress-Energy Tensors for Perfect Fluids and Electromagnetic Fields
- Bibliographic Note
- PART II STATISTICAL PHYSICS
- 3 Kinetic Theory
- 3.1 Overview
- 3.2 Phase Space and Distribution Function
- 3.2.1 Newtonian Number Density in Phase Space, 𝒩
- 3.2.2 Relativistic Number Density in Phase Space, 𝒩
- 3.2.3 Distribution Function ƒ (x, v, t) for Particles in a Plasma
- 3.2.4 Distribution Function Iⱱ/ⱱ3 for Photons
- 3.2.5 Mean Occupation Number ƞ
- 3.3 Thermal-Equilibrium Distribution Functions
- 3.4 Macroscopic Properties of Matter as Integrals over Momentum Space
- 3.4.1 Particle Density n, Flux S, and Stress Tensor ⊤
- 3.4.2 Relativistic Number-Flux 4-Vector S→ and Stress-Energy Tensor ⊤
- 3.5 Isotropic Distribution Functions and Equations of State
- 3.5.1 Newtonian Density, Pressure, Energy Density, and Equation of State
- 3.5.2 Equations of State for a Nonrelativistic Hydrogen Gas
- 3.5.3 Relativistic Density, Pressure, Energy Density, and Equation of State
- 3.5.4 Equation of State for a Relativistic Degenerate Hydrogen Gas
- 3.5.5 Equation of State for Radiation
- 3.6 Evolution of the Distribution Function: Liouville’s Theorem, the Collisionless Boltzmann Equation, and the Boltzmann Transport Equation
- 3.7 Transport Coefficients
- 3.7.1 Diffusive Heat Conduction inside a Star
- 3.7.2 Order-of-Magnitude Analysis
- 3.7.3 Analysis Using the Boltzmann Transport Equation
- Bibliographic Note
- 4 Statistical Mechanics
- 4.1 Overview
- 4.2 Systems, Ensembles, and Distribution Functions
- 4.2.1 Systems
- 4.2.2 Ensembles
- 4.2.3 Distribution Function
- 4.3 Liouville’s Theorem and the Evolution of the Distribution Function
- 4.4 Statistical Equilibrium
- 4.4.1 Canonical Ensemble and Distribution
- 4.4.2 General Equilibrium Ensemble and Distribution; Gibbs Ensemble Grand Canonical Ensemble
- 4.4.3 Fermi-Dirac and Bose-Einstein Distributions
- 4.4.4 Equipartition Theorem for Quadratic, Classical Degrees of Freedom
- 4.5 The Microcanonical Ensemble
- 4.6 The Ergodic Hypothesis
- 4.7 Entropy and Evolution toward Statistical Equilibrium
- 4.7.1 Entropy and the Second Law of Thermodynamics
- 4.7.2 What Causes the Entropy to Increase?
- 4.8 Entropy per Particle
- 4.9 Bose-Einstein Condensate
- 4.10 Statistical Mechanics in the Presence of Gravity
- 4.10.1 Galaxies
- 4.10.2 Black Holes
- 4.10.3 The Universe
- 4.10.4 Structure Formation in the Expanding Universe: Violent Relaxation and Phase Mixing
- 4.11 Entropy and Information
- 4.11.1 Information Gained When Measuring the State of a System in a Microcanonical Ensemble
- 4.11.2 Information in Communication Theory
- 4.11.3 Examples of Information Content
- 4.11.4 Some Properties of Information
- 4.11.5 Capacity of Communication Channels; Erasing Information from Computer Memories
- Bibliographic Note
- 5 Statistical Thermodynamics
- 5.1 Overview
- 5.2 Microcanonical Ensemble and the Energy Representation of Thermodynamics
- 5.2.1 Extensive and Intensive Variables; Fundamental Potential
- 5.2.2 Energy as a Fundamental Potential
- 5.2.3 Intensive Variables Identified Using Measuring Devices First Law of Thermodynamics
- 5.2.4 Euler’s Equation and Form of the Fundamental Potential
- 5.2.5 Everything Deducible from First Law; Maxwell Relations
- 5.2.6 Representations of Thermodynamics
- 5.3 Grand Canonical Ensemble and the Grand-Potential Representation of Thermodynamics
- 5.3.1 The Grand-Potential Representation, and Computation of Thermodynamic Properties as a Grand Canonical Sum
- 5.3.2 Nonrelativistic van der Waals Gas
- 5.4 Canonical Ensemble and the Physical-Free-Energy Representation of Thermodynamics
- 5.4.1 Experimental Meaning of Physical Free Energy
- 5.4.2 Ideal Gas with Internal Degrees of Freedom
- 5.5 Gibbs Ensemble and Representation of Thermodynamics; Phase Transitions and Chemical Reactions
- 5.5.1 Out-of-Equilibrium Ensembles and Their Fundamental Thermodynamic Potentials and Minimum Principles
- 5.5.2 Phase Transitions
- 5.5.3 Chemical Reactions
- 5.6 Fluctuations away from Statistical Equilibrium
- 5.7 Van der Waals Gas: Volume Fluctuations and Gas-to-Liquid Phase Transition
- 5.8 Magnetic Materials
- 5.8.1 Paramagnetism; The Curie Law
- 5.8.2 Ferromagnetism: The Ising Model
- 5.8.3 Renormalization Group Methods for the Ising Model
- 5.8.4 Monte Carlo Methods for the Ising Model
- Bibliographic Note
- 6 Random Processes
- 6.1 Overview
- 6.2 Fundamental Concepts
- 6.2.1 Random Variables and Random Processes
- 6.2.2 Probability Distributions
- 6.2.3 Ergodic Hypothesis
- 6.3 Markov Processes and Gaussian Processes
- 6.3.1 Markov Processes; Random Walk
- 6.3.2 Gaussian Processes and the Central Limit Theorem; Random Walk
- 6.3.3 Doob’s Theorem for Gaussian-Markov Processes, and Brownian Motion
- 6.4 Correlation Functions and Spectral Densities
- 6.4.1 Correlation Functions; Proof of Doob’s Theorem
- 6.4.2 Spectral Densities
- 6.4.3 Physical Meaning of Spectral Density, Light Spectra, and Noise in a Gravitational Wave Detector
- 6.4.4 The Wiener-Khintchine Theorem; Cosmological Density Fluctuations
- 6.5 2-Dimensional Random Processes
- 6.5.1 Cross Correlation and Correlation Matrix
- 6.5.2 Spectral Densities and the Wiener-Khintchine Theorem
- 6.6 Noise and Its Types of Spectra
- 6.6.1 Shot Noise, Flicker Noise, and Random-Walk Noise; Cesium Atomic Clock
- 6.6.2 Information Missing from Spectral Density
- 6.7 Filtering Random Processes
- 6.7.1 Filters, Their Kernels, and the Filtered Spectral Density
- 6.7.2 Brownian Motion and Random Walks
- 6.7.3 Extracting a Weak Signal from Noise: Band-Pass Filter, Wiener’s Optimal Filter Signal-to-Noise Ratio, and Allan Variance of Clock Noise
- 6.7.4 Shot Noise
- 6.8 Fluctuation-Dissipation Theorem
- 6.8.1 Elementary Version of the Fluctuation-Dissipation Theorem; Langevin Equation Johnson Noise in a Resistor, and Relaxation Time for Brownian Motion
- 6.8.2 Generalized Fluctuation-Dissipation Theorem; Thermal Noise in a Laser Beam’s Measurement of Mirror Motions; Standard Quantum Limit for Measurement Accuracy and How to Evade It
- 6.9 Fokker-Planck Equation
- 6.9.1 Fokker-Planck for a 1-Dimensional Markov Process
- 6.9.2 Optical Molasses: Doppler Cooling of Atoms
- 6.9.3 Fokker-Planck for a Multidimensional Markov Process; Thermal Noise in an Oscillator
- Bibliographic Note
- References
- Name Index
- Subject Index
- Contents of the Unified Work, Modern Classical Physics
- Preface to Modern Classical Physics
- Acknowledgments for Modern Classical Physics
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