Logo image
Transfer Operators with a Riesz Property
Book chapter   Peer reviewed

Transfer Operators with a Riesz Property

Sergey Bezuglyi and Palle E. T Jorgensen
Transfer Operators, Endomorphisms, and Measurable Partitions, pp.105-111
Lecture Notes in Mathematics, Springer International Publishing
06/22/2018
DOI: 10.1007/978-3-319-92417-5_9

View Online

Abstract

A well known theorem (Riesz) in analysis states that every positive linear functional L on continuous functions is represented by a Borel measure. More precisely, let X be a locally compact Hausdorff space and Cc(X) the space of continuous functions with compact support. Then the well-known Riesz representation theorem from analysis says that, for every positive linear functional L, there exists a unique regular Borel measure μ on X such that L(f)=∫Xfdμ.\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$\displaystyle L(f) = \int _X f\; d\mu. $$ \end{document} We are interested in a special case of functionals Lx defined on a function space by the formula Lx(f) = f(x). For Borel functions ℱ(X,ℬ)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$\mathcal F(X, {\mathcal B})$$ \end{document} over a standard Borel space (X,ℬ)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$(X, {\mathcal B})$$ \end{document}, the Riesz theorem is not directly applicable. We introduce in this chapter a class of transfer operators R that have the following property.
Riesz family Riesz property Riesz theorem Set of probability measures

Details

Metrics

Logo image