Integral of Differential Forms along the Path of Diffusion Processes
Author(s) -
Nobuyuki Ikeda,
Shojiro Manabe
Publication year - 1979
Publication title -
publications of the research institute for mathematical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.786
H-Index - 39
eISSN - 1663-4926
pISSN - 0034-5318
DOI - 10.2977/prims/1195187879
Subject(s) - mathematics , brownian motion , martingale (probability theory) , riemannian manifold , local martingale , square integrable function , section (typography) , riemann integral , connection (principal bundle) , pure mathematics , mathematical analysis , combinatorics , geometry , integral equation , fourier integral operator , advertising , business , statistics
Let (Xt, S t, PX) be a Brownian motion on a Riemannian manifold M and a be a differential 1-form on M. In this paper we will be concerned with the integral of a along Xt. This integral is a stochastic version of the ordinary integral of the form a along a smooth curve on M and is defined by using the symmetric integral. We denote by A(t\a), tl>Q, the integrals of a along Xt. The one-parameter family A= {A(t\ a); £^>0} of random variables then defines a continuous additive functional of (Xt, 2^, P,) . In Section 3 we will show that A(t; a), tl>0, can be decomposed into a sum of a local martingale and a bounded variation process which is expressed by the divergence of a. The structure of the local martingale part will be analyzed by using the lifted diffusion (rt, 3t, Pr) on O(M) of (Xt, S t, PX) through the Riemannian connection where O(M) is the bundle of orthonormal frames. Next in Section 4, using some results in Section 3 we will give a representation theorem for continuous square integrable martingale additive functionals of (Xt9 31, PX) which was obtained, in some special cases, by a number of authors (cf. [11], [14], [15], [16], [17]). As an application of Theorem 3. 1, we discuss in Section 5 the Cameron-Martin formula. An approximation theorem similar to Nakao-Yamato [12] also holds in our case. Using this we will formulate and prove a stochastic version of Stokes' theorem. M. Yor [18] recently discussed a closely related subject independently in the case that M= C.
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