Cylindrical probabilities and the differentiation of vector measures

Author:

Jefferies Brian

Abstract

There are many results in probability theory on vector spaces which rely implicitly on the approximation of a given cylindrical probability by cylindrical probabilities with moments; for example, this is the basic idea behind the proof of the Radon equivalence of the weak and strong topologies of a metrizable space (Schwartz [13] p. 162). The technique of approximation by cylindrical measures with moments can be systematically developed. In particular, it follows that if each member of a family of cylindrical probabilities with moments is decomposable, then the limits of these cylindrical probabilities are often regular and so they are σ-additive.

Publisher

Cambridge University Press (CUP)

Subject

General Mathematics

Reference15 articles.

1. Quantum Physics

2. The Lebesgue-Nikodym Theorem for Vector Valued Radon Measures

3. Topological Vector Spaces

4. Mesures cylindriques sur les espaces de Banach qui ont le Radon-Nikodým;Schachermayer;C.R. Acad. Sci. Paris, Ser.,1976

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