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.
Definition
Let E be a Banach space such that both E and its continuous dual space E<sup>âÂÂ</sup> 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 â L<sup>2</sup>(E, μ; R) is said to be an integration by parts operator for μ if
for every C<sup>1</sup> function φ : E â R and all h â S for which either side of the above equality makes sense. In the above, Dφ(x) denotes the Fréchet derivative of φ at x.
Examples
- Consider an abstract Wiener space i : H â E with abstract Wiener measure γ. Take S to be the set of all C<sup>1</sup> functions from E into E<sup>âÂÂ</sup>; E<sup>âÂÂ</sup> can be thought of as a subspace of E in view of the inclusions
:
For h ∈ S, define Ah by
:
This operator A is an integration by parts operator, also known as the divergence operator; a proof can be found in Elworthy (1974).
:
i.e., all bounded, adapted processes with absolutely continuous sample paths. Let φ : C<sub>0</sub> → R be any C<sup>1</sup> function such that both φ and Dφ are bounded. For h ∈ S and λ ∈ R, the Girsanov theorem implies that
:
Differentiating with respect to λ and setting λ = 0 gives
:
where (Ah)(x) is the ItÃ
 integral
:
The same relation holds for more general φ by an approximation argument; thus, the ItÃ
 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.
References