 Markov chain tree theorem

The Markov Chain Tree Theorem is a result in probability theory that provides a method for calculating the probabilities of certain paths or transitions in a Markov chain by leveraging the structure of a tree. Specifically, it deals with the concept of expressing the stationary distribution of a Markov chain in terms of the transition probabilities and a tree structure, which can simplify computations and enhance understanding of the dynamics of the chain.