Title
Measuring the probabilistic powerdomain
Abstract
In this paper we initiate the study of measurements on the probabilistic powerdomain. We show how measurements on an underlying domain naturally extend to its probabilistic powerdomain, so that the kernel of the extension consists of exactly those normalized measures on the kernel of the measurement on the underlying domain. This result is combined with now-standard results from the theory of measurements to obtain a new proof that the fixed point associated with a weakly hyperbolic IFS with probabilities is the unique invariant measure whose support is the attractor of the underlying IFS.
Year
DOI
Venue
2004
10.1016/S0304-3975(03)00404-3
International Congress of Mathematicans
Keywords
Field
DocType
fixed point,now-standard result,unique invariant measure,new proof,underlying domain,weakly hyperbolic IFS,underlying IFS,probabilistic powerdomain,normalized measure
Kernel (linear algebra),Attractor,Topology,Discrete mathematics,Measure (mathematics),Pure mathematics,Domain theory,Probabilistic logic,Fixed point,Fixed-point theorem,Invariant measure,Mathematics
Journal
Volume
Issue
ISSN
312
1
Theoretical Computer Science
ISBN
Citations 
PageRank 
3-540-43864-5
2
0.45
References 
Authors
10
3
Name
Order
Citations
PageRank
Keye Martin112822.14
Michael Mislove2968.78
James Worrell319610.96