In mathematics, an integration by parts operator is a linear operator used to formulate integration by parts formulae; the most interesting examples of integration by parts operators occur in infinite-dimensional settings and find uses in stochastic analysis and its applications.
Let E be a Banach space such that both E and its continuous dual space E∗ are separable spaces; let μ be a Borel measure on E. Let S be any (fixed) subset of the class of functions defined on E. A linear operator A : S → L2(E, μ; R) is said to be an integration by parts operator for μ if
\intED\varphi(x)h(x)d\mu(x)=\intE\varphi(x)(Ah)(x)d\mu(x)
for every C1 function φ : E → R and all h ∈ S for which either side of the above equality makes sense. In the above, Dφ(x) denotes the Fréchet derivative of φ at x.
E*\xrightarrow{i*
For h ∈ S, define Ah by
(Ah)(x)=h(x)x-traceHDh(x).
This operator A is an integration by parts operator, also known as the divergence operator; a proof can be found in Elworthy (1974).
S=\left\{\left.h\colonC0\to
2,1 | |
L | |
0 |
\right|hisboundedandnon-anticipating\right\},
i.e., all bounded, adapted processes with absolutely continuous sample paths. Let φ : C0 → R be any C1 function such that both φ and Dφ are bounded. For h ∈ S and λ ∈ R, the Girsanov theorem implies that
\int | |
C0 |
\varphi(x+λh(x))d\gamma(x)=
\int | |
C0 |
\varphi(x)\exp\left(λ
1 | |
\int | |
0 |
h |
s ⋅ dxs-
λ2 | |
2 |
1 | |
\int | |
0 |
|
h |
s|2ds\right)d\gamma(x).
Differentiating with respect to λ and setting λ = 0 gives
\int | |
C0 |
D\varphi(x)h(x)d\gamma(x)=
\int | |
C0 |
\varphi(x)(Ah)(x)d\gamma(x),
where (Ah)(x) is the Itō integral
1 | |
\int | |
0 |
h |
s ⋅ dxs.
The same relation holds for more general φ by an approximation argument; thus, the Itō integral is an integration by parts operator and can be seen as an infinite-dimensional divergence operator. This is the same result as the integration by parts formula derived from the Clark-Ocone theorem.