Unlike earlier texts that might shy away from measure theory, Norris introduces it where necessary but does not allow it to obstruct the probabilistic intuition. The central premise is that the Markov property—where the future state of a process depends only on its present state, not on the sequence of events that preceded it—serves as the foundation for analyzing complex systems.
Notice the economy of words. No fluff, just the definition. norris markov chains