A primer on stochastic processes

Abstract

In this chapter we give a short introduction to the concept of stochastic processes, evolution equations with random solutions. The best-known examples are random walks and stochastic differential equations, and we discuss examples of these and some of their properties, as well as methods for numerical simulation. We conclude with a brief introduction into metastability, the phenomenon that stochastic processes may have very different behaviour at different time scales.