Module 3:Branching process, Application of Markov chains, Markov Processes with discrete and                 continuous state space
  Lecture 13:Differential Equation for Weiner Process
 

Note

  • Thus the process  is a Gaussian process with mean  and variance .
  • Thus the process  is a Markov process but it does not possess independent increment like the Weiner process.
  • As , the mean value is  and variance is . This implies the distribution of velocity is in statistical equilibrium.
  • The Ornstein–Uhlenbeck process can be interpreted as a scaling limit of a discrete process, in the same way that Brownian motion is a scaling limit of random walks.