Stochastic partial differential equations (SPDEs) model the evolution in time of spatially extended systems subject to a random driving. Recent years have witnessed tremendous progress in the theory of so-called singular SPDEs. These equations feature a singular, distribution-valued driving term, a typical example being spacetime white noise, which makes them ill-posed as such. In many cases, however, it is possible to make sense of these equations by applying a so-called renormalization procedure, initially introduced in quantum field theory.

This book gives a largely self-contained exposition of the subject of regular and singular SPDEs in the particular case of the Allen-Cahn equation, which models phase separation. Properties of the equation are discussed successively in one, two, and three spatial dimensions, allowing the author to introduce new difficulties of the theory in an incremental way. In addition to existence and uniqueness of solutions, aspects of long-time dynamics, such as invariant measures and metastability, are discussed. A large part of the last chapter about the three-dimensional case is dedicated to the theory of regularity structures, which has been developed by Martin Hairer and co-authors in the last years, and makes it possible to describe a large class of singular SPDEs.

The book is intended for graduate students and researchers in mathematics and physics with prior knowledge in stochastic processes or stochastic calculus.