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Home > Ito's lemma


Stochastic processes

In mathematics, Itô's lemma is used in stochastic calculus to find the differential of a function of a particular type of stochastic process. It is therefore to stochastic calculus what the chain rule is to ordinary calculus. The lemma is widely employed in mathematical finance.

1 Statement of the lemma

Let x(t) be an Itô (or generalized Wiener) process . That is let
and let f be some function with a second derivative that is continuous. Then:
is also an Itô process.

2 Informal proof

A formal proof of the lemma requires us to take the limit of a sequence of random variables, which is not handled carefully here.

Expanding f(x, t) is a Taylor series in x and t we have

and substituting in for dx from above we have

In the limit as dt tends to 0 the dt2 and dt dW terms disappear but the dW2 tends to dt. The latter can be shown if we prove that

, as

The proof of this statistical property is however beyond the scope of this article.

Substituting this dt in, and reordering the terms so that the dt and dW terms are collected we obtain

as required.

The formal proof, which is not included in this article, requires defining the stochastic integral , which is an advanced concept in between

functional analysis and probability theoryProbability theory Discrete mathematics Mathematical analysis Probability theory is the mathematical study of probability. Mathematicians think of probabilities as numbers in the interval from 0 to 1 assigned to "events" whose occurrence or failure to occ.

3 See also

Wiener processStochastic processes In mathematics, the Wiener process so named in honor of Norbert Wiener, is a continuous-time Gaussian stochastic process with independent increments used in modelling Brownian motion and some random phenomena observed in finance..

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