This book gives a comprehensive and self-contained introduction to the
theory of symmetric Markov processes and symmetric quasi-regular
Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and
Masatoshi Fukushima cover the essential elements and applications of the
theory of symmetric Markov processes, including recurrence/transience
criteria, probabilistic potential theory, additive functional theory,
and time change theory. The authors develop the theory in a general
framework of symmetric quasi-regular Dirichlet forms in a unified manner
with that of regular Dirichlet forms, emphasizing the role of extended
Dirichlet spaces and the rich interplay between the probabilistic and
analytic aspects of the theory. Chen and Fukushima then address the
latest advances in the theory, presented here for the first time in any
book. Topics include the characterization of time-changed Markov
processes in terms of Douglas integrals and a systematic account of
reflected
Dirichlet spaces, and the important roles such advances play in the
boundary theory of symmetric Markov processes. This volume is an ideal
resource for researchers and practitioners, and can also serve as a
textbook for advanced graduate students. It includes examples,
appendixes, and exercises with solutions.