| Available versions | problems, solutions |
|---|---|
| Relevant courses | Physics 112: Introduction to Statistical and Thermal Physics |
| Keywords | monte carlo, entropy, markov chain, mcmc, diffusion, gas, ehrenfest |
| Student levels | Undergrads, Advanced undergrads |
| Learning objectives |
study a Markov chain and analyse its properties, verify the analysed behaviour by comparing to Monte Carlo simulations, observe the emergence of a second law of thermodynamics, determine whether the Markov chain is reversible and simulate it backwards in time |
| Course | Semester | Instructors | Problem sets released | |
|---|---|---|---|---|
| 1 | Physics 112: Introduction to Statistical and Thermal Physics | Fall 2020 | Avirukt Mittal, Dung-Hai LEE, Katherine Zhou | 7 |
| 2 | Physics 112: Introduction to Statistical and Thermal Physics | Spring 2021 | Avirukt Mittal, Dung-Hai LEE | 9 |
Last fetched 3 years, 3 months ago