Itō calculus
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Itō calculus, named after Kiyoshi Itō, treats mathematical operations on stochastic processes. Its most important concept is the Itō stochastic integral.
The Itō integral can be defined in a manner similar to the Riemann integral, that is as a limit of Riemann sums. Suppose that is a Wiener process and is a stochastic process adapted to the natural filtration of the Wiener process. Then the Itō integral
is defined as the L2 limit of
as the mesh of the partition of [0,T] tends to 0 (in the style of a Riemann-Stieltjes integral).
Technically speaking, the construction is first performed on a class of "elementary processes" and then extended to the closure of this class in the L2 norm. The collection of all Itō integrable processes is sometimes denoted L2(W).
A crucial fact about this integral is Itō's lemma.
Both summation and multiplication of random variables are defined in probability theory. The summation involves a convolution of the probability density function (PDF) and multiplication is repeated summation.
[edit] Other approaches
The Stratonovich integral is another way to define stochastic integrals. Its derivation rule is simpler than Ito's lemma.
In the definition of the Stratonovich integral, the same limiting procedure is used except for choosing the average to the values of the process X at the left- and right-hand endpoints of each subinterval: i.e.
- in place of
Conversion between Itō and Stratonovich integrals may be performed using the formula
where X is some process, , and denotes the Stratonovich integral.
[edit] See also
- Mathematical Finance Programming in TI-Basic, which implements Ito calculus for TI-calculators.
[edit] Reference
- Øksendal, Bernt K. (2003). Stochastic Differential Equations: An Introduction with Applications. Springer, Berlin. ISBN 3-540-04758-1.