Optional and predictable projections of normal integrands and convex-valued processes
Probability
2016-07-25 v2 Optimization and Control
Abstract
This article studies optional and predictable projections of integrands and convex-valued stochastic processes. The existence and uniqueness are shown under general conditions that are analogous to those for conditional expectations of integrands and random sets. In the convex case, duality correspondences between the projections and projections of epigraphs are given. These results are used to study projections of set-valued integrands. Consistently with the general theory of stochastic processes, projections are not constructed using reference measures on the optional and predictable sigma-algebras.
Cite
@article{arxiv.1508.02176,
title = {Optional and predictable projections of normal integrands and convex-valued processes},
author = {Matti Kiiski and Ari-Pekka Perkkiö},
journal= {arXiv preprint arXiv:1508.02176},
year = {2016}
}
Comments
23 pages