Module 6:Random walks and related areas
  Lecture 28:Random Walks in more than one dimension
 


Wiener Process


In mathematics, the Wiener process is a continuous-time stochastic process named in honor of Norbert Wiener, and this process is also called the standard Brownian motion, after Robert Brown. It is one of the best known Lévy processes (stochastic processes with stationary independent increments) and is quite frequently used in in pure and applied mathematics, economics, physics, finance, etc.

Let us characterize the Wiener process, , as given below

  •  has independent increments such that , where

The basic properties of the Wiener process are as follows :
The unconditional probability density function at a fixed time  is given by , such that we can easily prove that the following holds.