Michael Plischke
加拿大Simon Fraser大学物理系主任，教授。芝加哥Loyola大学物理学学士，Yale大学物理学硕士，Yeshiva大学物理学博士，长期从事凝聚态物理研究，并给硕士生和本科生讲授统计力学。Equilibrium Statistical Physics和Physics and Chemistry of Disordered Systems等是其代表性的著作。
复旦大学出版社出版英文影印版《研究生教学参考书系》，主要基于以下几点考虑。
1. (新加坡)世界科技出版公司以出版科技专著闻名于世，同我社已有10多年的友好交往。从20世纪90年代以来，尤其是1995年该公司并购了伦敦帝国学院出版社（Imperial College Press）51%的股份（近年已经完成了100%的股份收购）之后，这两大出版机构在潘国驹教授的集中指挥下，充分发挥了编辑学术委员会的职能，使得出书范围不断拓宽，图书层次逐渐丰富，因此从中遴选影印图书的空间更大了，再加上该公司在上海设有办事机构，相关工作人员工作细致，服务周到，给两个单位的合作交流带来极大的便利。
2. 研究生教育是创新人才培养的关键，教材建设直接关系到研究生科学水平的根本。从2003年开始，我社陆续出版了Fudan Series in Graduate Textbooks这套丛书，国内的读者反响很好。但限于作者人力，这套丛书涵盖的学科和门类都严重不足。为此，我们想到再借助国外出版力量，引进一批图书作为硕士研究生的补充教材，（新加坡）世界科技出版公司与我社的合作，恰好提供了这样一个良好的机会。我们从该公司提供的近期书目中，遴选30多本样书，经过专家审读后，最终确定了其中的11种作为首批《研究生教学参考书系》影印出版。这11种图书的作者来自美、英、法、德、加拿大5个国家的10多所高校或研究部门，他们既是相关学科科研的领军人物，又是高年级本科生和研究生教学的杰出教授。各门教材既考虑到深入浅出的认知规律，又突出了前沿学科的具体应用，每本书都有充实的文献资料，有利于读者和研究人员深入探索。这其中6本教材配有习题，还包括一本具有物理背景的人员都需要了解的高级科普读物——《理解宇宙——从夸克到宇宙学》。
3. 为了有利于广大读者和图书管理人员、图书采购销售人员的使用，特请龚少明编审为每本影印书编写出中文内容介绍和作者概况，并由他将preface（序言）全文译成中文。序言是一本书的总纲，它涉及写作要旨、逻辑体系、内容特色和研读指导等等，我们将其译成中文至少有利于读者浏览和选购，避免买书仓促带来的失误，毕竟英语是多数读者的第二种语言。
4. 原版书价格较贵，大大超出读者的购买能力，即使图书馆或大学资料室也会受到经费不足的制约。出版影印本的书价大约只有原价的十分之一，无疑会给需要这些书的研究生和图书馆带来真正的实惠,这也是（新加坡）世界科技出版公司与我们合作的目的之一。
5. 考虑到物理类图书是（新加坡）世界科技出版公司的第一品牌，我们首次引进的11本书，都属大物理的范畴。这一尝试如果得到读者和专家认可，今后再陆续开辟其他学科的影印渠道。
欢迎读者批评指正，并提出有益的建议。
复旦大学出版社
2006年9月
Contents
Preface to the First Edition
Preface to the Second Edition
1 Review of Thermodynamics
1.1 State Variables and Equations of State
1.2 Laws of Thermodynamics
1.2.1 First law
1.2.2 Second law
1.3 Thermodynamic Potentials
1.4 Gibbs-Duhem and Maxwell Relations
1.5 Response Functions
1.6 Conditions for Equilibrium and Stability
1.7 Thermodynamics of Phase Transitions
1.8 Problems
2 Statistical Ensembles
2.1 Isolated Systems: MicrocanonicalEnsemble
2.2 Systems at Fixed Temperature: Canonical Ensemble
2.3 Grand Canonical Ensemble
2.4 Quantum Statistics
2.4.1 Harmonic oscillator
2.4.2 Noninteracting fermions
2.4.3 Noninteracting bosons
2.4.4 Density matrix
2.5 Maximum Entropy Principle
2.6 Thermodynamic Variational Principles
2.7 Problems
3 Mean Field and Landau Theory
3.1 Mean Field Theory of the Ising Model
3.2 Bragg-Williams Approximation
3.3 Order Disorder Transition
3.4 Bethe Approximation
3.5 Critical Behavior of Mean Field Theories
3.6 Ising Chain: Exact Solution
3.7 Landau Theory of Phase Transitions
3.8 Example of Symmetry Considerations: Maier-Saupe Model
3.9 Landau Theory of Tricritical Points
3.10 Landau-Ginzburg Theory for Fluctuations
3.11 Multicomponent Order Parameters: n-Vector Model
3.12 Mean Field Theory of Fluids: Van der Waals Approach
3.13 Problems
4 Dense Gases and Liquids
4.1 Virial Expansion
4.2 Distribution Functions
4.2.1 Pair correlation function
4.2.2 BBGKY hierarchy
4.2.3 Ornstein-Zernike equation
4.3 Perturbation Theory
4.4 Inhomogeneous Liquids
4.4.1 Liquid-vapor interface
4.4.2 Capillary waves
4.5 Density-Functional Theory
4.5.1 Functional differentiation
4.5.2 Free-energy functionals and correlation functions
4.5.3 Applications
4.6 Problems
5 Critical Phenomena I
5.1 Ising Model in Two Dimensions
5.1.1 Transfer matrix
5.1.2 Transformation to an interacting fermion problem
5.1.3 Calculation of eigenvalues
5.1.4 Thermodynamic functions
5.1.5 Concluding remarks
5.2 Series Expansions
5.2.1 High-temperature expansions
5.2.2 Low-temperature expansions
5.2.3 Analysis of series
5.3 Scaling
5.3.1 Thermodynamic considerations
5.3.2 Scaling hypothesis
5.3.3 Kadanoff block spins
5.4 Finite-Size Scaling
5.5 Universality
5.6 Kosterlitz-Thouless Transition
5.7 Problems
6 Critical Phenomena II: The Renormalization Group
6.1 The Ising Chain Revisited
6.2 Fixed Points
6.3 Position Space Renormalization: Cumulant Method
6.3.1 First-order approximation
6.3.2 Second-order approximation
6.4 Other Position Space RenormalizationGroup Methods
6.4.1 Finite lattice methods
6.4.2 Adsorbed monolayers: Ising antiferromagnet
6.4.3 Monte Carlo renormalization
6.5 Phenomenological Renormalization Group
6.6 The e-Expansion
6.6.1 The Gaussian model
6.6.2 The S4 model
6.6.3 Critical exponents to order ε
6.6.4 Conclusion
6.7 Problems
7 Simulations
7.1 Molecular Dynamics
7.2 Monte Carlo Method
7.2.1 Markov processes
7.2.2 Detailed balance and the Metropolis algorithm
7.2.3 Histogram methods
7.3 Data Analysis
7.3.1 Fluctuations
7.3.2 Error estimates
7.3.3 Extrapolation to the thermodynamic limit
7.4 The Hopfield Model of Neural Nets
7.5 Simulated Quenching and Annealing
7.6 Problems
8 Polymers and Membranes
8.1 Linear Polymers
8.1.1 The freely jointed chain
8.1.2 The Gaussian chain
8.2 Excluded Volume Effects: Flory Theory
8.3 Polymers and the n-Vector Model
8.4 Dense Polymer Solutions
8.5 Membranes
8.5.1 Phantom membranes
8.5.2 Self-avoiding membranes
8.5.3 Liquid membranes
8.6 Problems
9 Quantum Fluids
9.1 Bose Condensation
9.2 Superfluidity
9.2.1 Qualitative features of superfluidity
9.2.2 Bogoliubov theory of the aHe excitation spectrum
9.3 Superconductivity
9.3.1 Cooper problem
9.3.2 BCS ground state
9.3.3 Finite-temperature BCS theory
9.3.4 Landau-Ginzburg theory of superconductivity
9.4 Problems
10 Linear Response Theory
10.1 Exact Results 378
10.1.1 Generalized susceptibility and the structure factor
10.1.2 Thermodynamic properties
10.1.3 Sum rules and inequalities
10.2 Mean Field Response
10.2.1 Dielectric function of the electron gas
10.2.2 Weakly interacting Bose gas
10.2.3 Excitations of the Heisenberg ferromagnet
10.2.4 Screening and plasmons
10.2.5 Exchange and correlation energy
10.2.6 Phonons in metals
10.3 Entropy Production, the Kubo Formula, and the Onsager Relations for Transport Coefficients
10.3.1 Kubo formula
10.3.2 Entropy production and generalized currents and forces
10.3.3 Microscopic reversibility: Onsager relations
10.4 The Boltzmann Equation
10.4.1 Fields, drift and collisions
10.4.2 DC conductivity of a metal
10.4.3 Thermal conductivity and thermoelectric effects
10.5 Problems
11 Disordered Systems
11.1 Single-Particle States in Disordered Systems
11.1.1 Electron states in one dimension
11.1.2 Transfer matrix
11.1.3 Localization in three dimensions
11.1.4 Density of states
11.2 Percolation
11.2.1 Scaling theory of percolation
11.2.2 Series expansions and renormalization group
11.2.3 Conclusion
11.3 Phase Transitions in Disordered Materials
11.3.1 Statistical formalism and the replica trick
11.3.2 Nature of phase transitions
11.4 Strongly Disordered Systems
11.4.1 Molecular glasses
11.4.2 Spin glasses
11.4.3 Sherrington-Kirkpatrick model
11.5 Problems
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