Continuous-Time Markov Chains (CTMCs) are stochastic processes that model systems undergoing transitions at continuous time intervals, where the future state depends only on the current state and not on the sequence of events that preceded it. They are widely used in fields like queueing theory, population dynamics, and reliability engineering to model systems with exponentially distributed holding times between state transitions.
