Lawn n’ Disorder: Randomness in Binary Trees and Beyond
What is Irreducible Randomness? Foundations in Markov Chains and Binary Trees Irreducible randomness captures the idea that every state in a system can be reached from every other with positive probability—no isolated pockets, no dead ends. In probabilistic terms, a Markov chain is irreducible when its transition matrix has no disconnected components. This concept forms …
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