KOLMOGOROV BACKWARD EQUATION

The 'Kolmogorov backward equation' (KBE) and its adjoint the Kolmogorov forward equation (KFE) are partial differential equations (PDE) that arise in the theory of continuous-time continuous-state Markov processes. Both were published by Andrey Kolmogorov in 1931. Later it was realized that the KFE was already known to physicists under the name Fokker-Planck equation; the KBE on the other hand was new.
Informally, the Kolmogorov forward equation addresses the following problem. We have information about the state x of the system at time t (namely a probability distribution p_t(x)); we want to know the probability distribution of the state at a later time s>t. The adjective 'forward' refers to the fact that p_t(x) serves as the initial condition and the PDE is integrated forward in time. (In the common case where the initial state is known exactly p_t(x) is a Dirac delta function centered on the known initial state).
The Kolmogorov backward equation on the other hand is useful when we are interested at time t in whether at a future time s the system will be in a given subset of states, sometimes called the ''target set''. The target is described by a given function u_s(x) which is equal to 1 if state x is in the target set and zero otherwise. We want to know for every state x at time t (t what is the probability of ending up in the target set at time s (sometimes called the hit probability). In this case u_s(x) serves as the final condition of the PDE, which is integrated backward in time, from s to t.

Contents
Formulating the Kolmogorov backward equation
Formulating the Kolmogorov forward equation
Formulating the Kolmogorov backward equation

Assume that the system state x(t) evolves according to the stochastic differential equation
:dx(t) = mu(x(t),t),dt + sigma(x(t),t),dW(t)
then the Kolmogorov backward equation is
:- rac{partial}{partial t}p(x,t)=mu(x,t) rac{partial}{partial x}p(x,t) + rac{1}{2}sigma^2(x,t) rac{partial^2}{partial x^2}p(x,t)
for tle s, subject to the final condition p(x,s)=u_s(x).
This equation can be derived from the Feynman-Kac formula by noting that the hit probability is the same as the expected value of u_s(x) over all paths that originate from state x at time t.
Formulating the Kolmogorov forward equation

With the same notation as before, the corresponding Kolmogorov forward equation is:
: rac{partial}{partial s}p(x,s)=- rac{partial}{partial x}[mu(x,s)p(x,s)] + rac{1}{2} rac{partial^2}{partial x^2}[sigma^2(x,s)p(x,s)]
for s ge t, with initial condition p(x,t)=p_t(x). For more on this equation see Fokker-Planck equation.

This article provided by Wikipedia. To edit the contents of this article, click here for original source.

psst.. try this: add to faves