Stochastic Models for Communications: Discrete-Time Markov Chains - First Passage Time

This lecture covers the topic of discrete-time Markov chains, focusing on the concept of first passage time. It discusses the probability of reaching a certain state for the first time starting from a given initial state. The lecture explores the calculation of these probabilities and provides examples to illustrate the concept. It also delves into the minimal solutions for these scenarios and the implications of different initial conditions on the passage times.