Explores convergence results for periodic case reversibility in Markov chains, covering irreducible chains, positive recurrence, reversible processes, and random walks on finite graphs.
Covers the properties and construction of Poisson processes from i.i.d. Exp(X) random variables, emphasizing the importance of the process rate and jump time distributions.
Delves into Markov chains by analyzing a scenario with two fleas moving in opposite directions, exploring transition matrices and probabilities over time.
