PHYS 414
Statistical Mechanics, Spring 2024
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Syllabus
Stochastic processes: review of probability concepts, Bayes theorem, Bayesian model estimation
Markovian approximation, master equation, stationary states, microscopic reversbility
Continuous time master equation, Kullback-Leibler divergence, uniqueness of stationary solution, f-divergences
Adjoint master equation, survival probability, mean first passage times
Microcanonical ensemble, ergodicity and mixing, time reversal symmetry, detailed balance
Entropy and the second law derived from properties of KL divergence
Additivity of entropy, the entropy of the universe (and its eventual heat death), temperature, free energy minimization
Entropy flow, heat, irreversible entropy production
Coupling a system to external degrees of freedom: entropy flow and work
Kelvin-Planck statement of second law of thermodynamics
Systems coupled to multiple heat baths, universal Carnot efficiency bound
Optimality in heat engines and heat pumps, the tradeoff between efficiency and power output
Properties of equilibrium systems, Maxwell's relations
The trajectory formalism in statistical physics, defining entropy production along a trajectory
Fluctuation theorems: Gallavotti-Cohen, Crooks, and integral versions
Quantum statistical mechanics: ensembles and density operators
Decompositions of the density operator, von Neumann entropy, time evolution in isolated quantum systems
Distinction between von Neumann and classical thermodynamic entropy, how the density operator changes under measurement
Measurements as special case of open quantum systems, Choi-Kraus representation theorem
Quantum master equation, Lindblad operators, decoherence