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Stochastic Calculus


Stochastic calculus is a calculus for processes driven by random noise, especially the Wiener process. Its central operation is the stochastic integral int_0^tH_sdW_s, defined as a limit of sums whose integrands are evaluated before the corresponding increments of W.

An Itô process has the differential form dX_t=b_tdt+sigma_tdW_t. For a twice differentiable function f, Itô's formula includes the quadratic-variation correction

 df(X_t)=f^'(X_t)dX_t+1/2f^('')(X_t)sigma_t^2dt.

This correction distinguishes stochastic calculus from ordinary calculus and underlies stochastic differential equations and the Black-Scholes theory.


See also

Black-Scholes Theory, Ito's Lemma, Martingale, Wiener Process

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References

Durrett, R. Stochastic Calculus: A Practical Introduction. Boca Raton, FL: CRC Press, 1996.Karatzas, I. and Shreve, S. E. Brownian Motion and Stochastic Calculus, 2nd ed. New York: Springer-Verlag, 1991.

Cite this as:

Weisstein, Eric W. "Stochastic Calculus." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/StochasticCalculus.html

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