Advanced Statistical Physics (P817), Spring 2018
Instructor: Romain Vasseur, Assistant Professor
office: Hasbrouck 405A
email: rvasseur[at]umass[dot]edu
office hours: by appointment and email, or visit my office
Lectures: MW 2.30-3.45pm, room: Has 107
Suggested reading materials:
- Scaling and Renormalization in Statistical Physics, John Cardy, Cambridge University Press
- Statistical Physics of Fields, Kardar, Cambridge University Press
- Lectures on Phase Transitions and the Renormalization Group, Nigel Goldenfeld, Frontiers in Physics Series (Vol. 85), Westview Press
- Principles of Condensed Matter Physics, P.M. Chaikin & T.C. Lubensky, Cambridge University Press
- Phase transitions and Renormalization Group, Jean Zinn-Justin, Oxford Graduate Texts
Website: https://websites.umass.edu/rvasseur/teaching/. Course materials will also be made available on Moodle.
Grading:
The course grade will be based 40% on the homework, 30% on a take-home exam, and 30% on a final term paper.
Topics:
- Introduction: Critical phenomena and simple models. Mean-field theory.
- Ginzburg-Landau theory: fluctuations, Ginzburg criterion, upper/lower critical dimensions, Goldstone modes.
- The Renormalization Group
- The perturbative RG:
- Operator product expansions
- epsilon expansion
- O(N) model and Large N limit
- XY model: Topological defects, Coulomb gas and Berezinskii-Kosterlitz–Thouless transition
- Advanced topics (time permitting):
- Nonlinear sigma model
- Random Systems
- (Brief) Introduction to conformal field theory
Lecture Notes:
- Critical Phenomena
- Ginzburg-Landau theory & Fluctuations
- The Renormalization Group
- Perturbative RG
- KT transition
- Nonlinear sigma model
- Disordered systems
- CFT
Problem Sets:
- HW1: Simple models and Mean Field theory
- HW2: Ginzburg-Landau theory
- HW3: Scaling and RG
- HW4: Perturbative RG
- HW5: XY model
Solutions available on Moodle, or upon request by email.
Final Exam: Exam
Suggestions for final project:
- Disordered systems: replica trick, Harris criterion, Imry-Ma argument
- RG in high-energy physics vs statistical mechanics
- Quantum criticality: quantum to classical mapping, example: transverse field Ising chain
- Exact solution of the 2D Ising model using Majorana fermions (possibility to collaborate with “quantum criticality”)
- Percolation: mapping onto Potts model, critical behavior
- Polymers: limit n–> 0 of the O(n) model, critical behavior
- Surface critical behavior (Cardy)
- Topological terms in non-linear sigma models
- Spin glasses
- Momentum-shell RG (compare to OPE approach developed in class)
- Critical dynamics: reaction diffusion models (Cardy)
- Monte Carlo simulations and finite-size scaling: write a MC code for the 2D Ising model and extract critical exponents
- Dynamic of growing surfaces, KPZ equation (Kardar)
- Integrable statistical mechanics models
- Conformal Field Theory (Finite size scaling)
- CFT (global conformal invariance, correlation functions + overview in 2d)
- Neural networks: Hopfield model
- Scaling in non-equilibrium systems (Goldenfeld)
- Lee-Yang theorem
- Caldeira-Leggett model (qubit in dissipative environment)