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单词 StochasticIntegrationByParts
释义

stochastic integration by parts


The stochastic integralMathworldPlanetmath satisfies a version of the classical integration by parts formulaMathworldPlanetmathPlanetmath, which is just the integral version of the product ruleMathworldPlanetmath. The only difference here is the existence of a quadratic covariation term.

Theorem.

Let X,Y be semimartingales. Then,

XtYt=X0Y0+0tXs-𝑑Ys+0tYs-𝑑Xs+[X,Y]t.(1)

Alternatively, in differentialMathworldPlanetmath notation, this reads

d(XtYt)=Xt-dYt+Yt-dXt+d[X,Y]t.

The existence of the quadratic covariation term [X,Y] in the integration by parts formula, and also in Itô’s lemma, is an important difference between standard calculus and stochastic calculus. To see the need for this term, consider the following. Choosing any h>0, write the increment of a process over a time step of size h as δXtXt+h-Xt. The increment of a productPlanetmathPlanetmath of processes satisfies the following simple identity,

δ(XY)t=XtδYt+YtδXt+δXtδYt.(2)

As we let h tend to zero, for differentiableMathworldPlanetmath processes the final term of (2) is of order (http://planetmath.org/LandauNotation) O(h2), so can be neglected in the limit. However, when X and Y are semimartingales, such as Brownian motionMathworldPlanetmath, the final term will be of order h, and needs to be retained even in the limit.

The proof of equation (1) is given by the proof of the existence of the quadratic variation of semimartingales (http://planetmath.org/QuadraticVariationOfASemimartingale) and, in particular, is just a rearrangement of the formula given for the quadratic covariation of semimartingales. Whenever either of X or Y is a continuousMathworldPlanetmathPlanetmath finite variation process, the quadratic covariation term [X,Y] is zero, so (1) becomes the standard integration by parts formula. More generally, for noncontinuous processes we have the following.

Corollary.

Let X be a semimartingale and Y be an adapted finite variation process. Then,

XtYt=X0Y0+0tXs𝑑Ys+0tYs-𝑑Xs.(3)

As Y is a finite variation process, the first integral on the right hand side of (3) makes sense as a Lebesgue-Stieltjes integral.Equation (3) follows from the integration by parts formula by first substituting the following formula for the covariation whenever Y has finite variation into (1)

[X,Y]t=stΔXsΔYs

and then using the following identity

0tXs𝑑Ys-0tXs-𝑑Ys=0tΔXs𝑑Ys=0tuΔXu1{u=s}dYs=utΔXuΔYu.
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更新时间:2025/5/4 13:22:44