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A computational model for metric spaces. (English) Zbl 1011.54026

Summary: For every metric space \(X\), we define a continuous poset \(BX\) such that \(X\) is homeomorphic to the set of maximal elements of \(BX\) with the relative Scott topology. The poset \(BX\) is a dcpo iff \(X\) is complete, and \(\omega\)-continuous iff \(X\) is separable. The computational model \(BX\) is used to give domain-theoretic proofs of Banach’s fixed point theorem and of two classical results of Hutchinson: on a complete metric space, every hyperbolic iterated function system has a unique non-empty compact attractor, and every iterated function system with probabilities has a unique invariant measure with bounded support. We also show that the probabilistic power domain of \(BX\) provides an \(\omega\)-continuous computational model for measure theory on a separable complete metric space \(X\).

MSC:

54E35 Metric spaces, metrizability
06B35 Continuous lattices and posets, applications
54F05 Linearly ordered topological spaces, generalized ordered spaces, and partially ordered spaces
28C15 Set functions and measures on topological spaces (regularity of measures, etc.)
54E40 Special maps on metric spaces
Full Text: DOI

References:

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