Abstract
Theory of Dirichlet forms is one of the main achievements in modern
probability theory. It has numerous interactions with other areas of
mathematics and sciences. The recent notable developments are its role in
the study of Liouville Brownian motion, Gaussian free field, stochastic partial
differential equations, stochastic analysis on metric measure spaces, and
Markov processes in random environments.
The workshop brings together top experts
in Dirichlet form theory, stochastic analysis and related fields, with the
common theme of developing new foundational methods and their
applications to specific areas of probability.