Vector Integration and Stochastic Integration in Banach Spaces

Author(s):  
Nicolae Dinculeanu
Author(s):  
Nicolae Dinculeanu

This article deals with vector integration and stochastic integration in Banach spaces. In particular, it considers the theory of integration with respect to vector measures with finite semivariation and its applications. This theory reduces to integration with respect to vector measures with finite variation which, in turn, reduces to the Bochner integral with respect to a positive measure. The article describes the four stages in the development of integration theory. It first provides an overview of the relevant notation for Banach spaces, measurable functions, the integral of step functions, and measurability with respect to a positive measure before discussing the Bochner integral. It then examines integration with respect to measures with finite variation, semivariation of vector measures, integration with respect to a measure with finite semivariation, and stochastic integrals. It also reviews processes with integrable variation or integrable semivariation and concludes with an analysis of martingales.


2002 ◽  
Vol 86 (505) ◽  
pp. 183
Author(s):  
David Applebaum ◽  
Nicolae Dinculeanu

2007 ◽  
Vol 35 (4) ◽  
pp. 1438-1478 ◽  
Author(s):  
J. M. A. M. van Neerven ◽  
M. C. Veraar ◽  
L. Weis

Author(s):  
Tomasz Kosmala ◽  
Markus Riedle

AbstractWe introduce a stochastic integral with respect to cylindrical Lévy processes with finite p-th weak moment for $$p\in [1,2]$$p∈[1,2]. The space of integrands consists of p-summing operators between Banach spaces of martingale type p. We apply the developed integration theory to establish the existence of a solution for a stochastic evolution equation driven by a cylindrical Lévy process.


Author(s):  
J. K. Brooks ◽  
N. Dinculeanu

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