Abstract

PurposeIn this work, the authors are interested in the notion of vector valued and set valued Pettis integrable pramarts. The notion of pramart is more general than that of martingale. Every martingale is a pramart, but the converse is not generally true.Design/methodology/approachIn this work, the authors present several properties and convergence theorems for Pettis integrable pramarts with convex weakly compact values in a separable Banach space.FindingsThe existence of the conditional expectation of Pettis integrable mutifunctions indexed by bounded stopping times is provided. The authors prove the almost sure convergence in Mosco and linear topologies of Pettis integrable pramarts with values in (cwk(E)) the family of convex weakly compact subsets of a separable Banach space.Originality/valueThe purpose of the present paper is to present new properties and various new convergence results for convex weakly compact valued Pettis integrable pramarts in Banach space.

Highlights

  • The set valued integration is useful in several areas of mathematics such as mathematical economics, image processing and analysis and theoretical statistics

  • The purpose of the present paper is to present new properties and various new convergence results for convex weakly compact valued Pettis integrable pramarts in Banach space

  • We prove the existence of the conditional expectation of Pettis integrable multifunctions indexed by bounded stopping times, which will allow us to well define the notion of vector valued and set valued pramart in the Pettis integration

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Summary

Introduction

The set valued (alias multivalued) integration is useful in several areas of mathematics such as mathematical economics, image processing and analysis and theoretical statistics. The purpose of the present paper is to present new properties and various new convergence results for convex weakly compact valued Pettis integrable pramarts in Banach space.

Notations and preliminaries
E ðAÞ the space of all Pettis-integrable functions defined from
Hn ðBn
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