DAMP Physics, IITB

Instructor:  Amitabh Nandi Course Name:   Advanced Statistical Mechanics (EP413) Course Type:  Theory (  Honours / Elective ) Credits:  6 Prerequisites:   No formal prerequisites, but a basic knowledge of statistical mechanics is assumed. Course Content:   Part 1: Stochastic processes - Markov processes, Chapman-Kolmogorov equations, master equation, solution techniques for various master equations, W-matrix formalism, Langevin equation, Fokker-Planck equation, Ito and Stratonovich conventions of stochastic calculus, diffusion and first-passage problems. Part 2: Critical phenomena - Phase transitions, critical exponents, Yang-Lee theorems, lattice gas model, 1D Ising model and transition matrix formalism, duality relation for the 2D square lattice Ising model, mean field theories, Landau Ginzburg statistical field theory, saddle point approximation, Gaussian model, scaling hypothesis, renormalisation group (RG), position space RG...

Instructor name:  Amitabha nandi Course Type:  Honours / Elective Pre-requisites:  Statistical mechanics Course Content:  Stochastic processes, critical phenomena and phase transitions , landau Ginsburg theory, mean field theory, renormalization group(conceptual) Books:  Van kampen for 1st half, kardar for second Lectures:  Use of Blackboard for lecturing Assignments: Very few tutorials Exams and Grading:  1 quiz, 1 project, midsem 30% endsem 40% Pro-Tips:  Any book in critical phenomena Respondent:  Mikail Note: This is a review to help you make a more informed choice about how to study for this course and/or choosing this course. While we've tried to keep it objective and complete, one must keep in mind that students have varying interests, methods of study, and the course itself changes from year to year.