Markov Paths and the Paw’s Random Journey: A Math Behind Movement
Introduction: The Mathematics of Random Movement Markov paths describe sequences of state transitions where each step depends only on the current state—not on the path taken to reach it. This “memoryless” property makes them powerful tools for modeling unpredictable motion. In a simple random walk, a particle moves step by step, choosing directions probabilistically. Each…
