
doi: 10.1007/bfb0072884
A standard method in deterministic product (or multiplicative) integration for integrating measures (or w.r.t measures) is to exploit Radon-Nikodym property. This technique does not extend to stochastic product integration w.r.t semimartingales. We introduce in this article a multiplicative operator functional (MOF) method to define stochastic product integrals; these integrals (MOF's) take values in certain Fock types spaces ℋTR and ℋHS. First we clearly detail out our method for stochastic product integration w.r.t (finite order) matrix valued Brownian motion. We next extend this to define MOF's \(\hat X\) (product integrals) of Hilbert-Schmidt- (K2-) valued semimartingales X. A central result is the Peano series type representation of \(\hat X\). This result helps us to establish a stochastic Kato-Trotter formula obtaining the classical (deterministic) formula as a special case of our stochastic version. An initial purpose of product integration is to construct solutions of differential equations. We use our stochastic product integrals to construct a solution of a linear stochastic equation similar to Doleans-Dade-Protter equation. The construction itself proves the existence and uniqueness of the solution. Further extensions will appear elsewhere.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
