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* A Brief Introduction to Stochastic Differential Equations *

Itô Differentials

Infinitesimal increments dWt in a Wiener process Wt are sampled from

\begin{eqnarray}
\frac{1}{\sqrt{2\pi dt}} e^{-dW_t^2/2dt}\nonumber
\end{eqnarray}

and obey $\overline{dW_t^2}=dt$. The variance of dWt2 is proportional to dt2 and hence vanishes for infinitesimal dt. This means that dWt2 = dt in Itô calculus. Another peculiarity is that if dWta and dWtb are statistically independent infinitesimal increments for two different Wiener processes Wta and Wtb then dWtadWtb = 0. These properties force us to alter the normal rules of calculus.

For example, consider the Itô differential:

\begin{eqnarray}
df(t,W_t)&=&f(t+dt,W_t+dW_t)-f(t,W_t).\nonumber
\end{eqnarray}

Taylor expanding f (t + dt, Wt + dWt) about t, Wt gives

\begin{eqnarray}
f(t+dt,W_t+dW_t)&=&f(t,W_t)+\frac{\partial f(t,W_t)}{\partial t...
...}\frac{\partial^2 f(t,W_t)}{\partial W_t^2}dW_t^2+\dots
\nonumber
\end{eqnarray}

and substituting into the formula for the differential and using dWt2 = dt gives

\begin{eqnarray}
df(t,W_t)&=&(\frac{\partial f(t,W_t)}{\partial t}+\frac{1}{2}\f...
...ial W_t^2})dt+\frac{\partial f(t,W_t)}{\partial W_t}dW_t\nonumber
\end{eqnarray}

which differs from the rule in normal calculus.

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