Probability Measures

  • Ulrich Höhle

Abstract

In this chapter we continue our investigations on the applications of rigid, BTm-valued topologies to the field of probability measures which we have initiated in a sequence of examples in Chapter 6 (cf. 6.1.5, 6.2.2.3, 6.3.2.5 and 6.4.2.9), Therefore we view the real interval as complete MV-algebra J= ([0, l],<,BTm and make use of the complete groupoid BTm = ([0, l],<, ⊞) where ⊞ denotes the arithmetic mean (cf. Example 4.1.9(b)). The main subject of this chapter consists in the compactification of certain, rigid BTm-valued topological spaces and the application of the principle of continuous extension to BTm -valued continuous maps. In this context we also touch the question to what extent rigid BTm -valued topologies form an enrichment of traditional general topology.

Keywords

Probability Measure Topological Space Dense Subset Discrete Space Continuous Extension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Ulrich Höhle
    • 1
  1. 1.Fachbereich MathematikBergische UniversitätWuppertalGermany

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