Beginning with a problem raised by the late Chinese mathematician Loo-Keng Hua, and the author's solution, this book discusses general Markov chains, a subject extremely popular in China in the '50s and '60s. The author emphasizes methodology like the first entrance and last exit decompositions, leading to the results by Kolmogorov, Doeblin, and himself. Next he discusses the continuous time case in which names like Paul Levy and Doob enter and there are hard analytic problems such as differentiability and systems of differential equations which are solved. Next he introduces Brownian motion or Wiener process as the most famous Markov process, and relates the probability theory to mathematical-physics associated with Green, Dirichlet, Schrodinger and Feyman. Finally there comes an excursion into general probabilistic methodology. This book contains many examples and exercises with hints and discussions.
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