PHYS 414


Statistical Mechanics, Spring 2020

                


Lecture Notes


1: Overview of the course

2: Coarse-graining a physical system: turtles all the way down

3: Stochastic processes: review of probability concepts, Bayes theorem, Bayesian model estimation

4: Markovian approximation, master equation, stationary states, microscopic reversbility
     Slides: Example of a kinetic network and its trajectories
       Movie: Network trajectory, MP4
     Extra notes: Mastering the master equation