2013
DOI: 10.1017/s1755020313000063
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Model Theory of Measure Spaces and Probability Logic

Abstract: We study the model-theoretic aspects of a probability logic suited for talking about measure spaces. This nonclassical logic has a model theory rather different from that of classical predicate logic. In general, not every satisfiable set of sentences has a countable model, but we show that one can always build a model on the unit interval. Also, the probability logic under consideration is not compact. However, using ultraproducts we can prove a compactness theorem for a certain class of weak models.

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Cited by 5 publications
(28 citation statements)
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“…This contrasts our result in § 7 that ε-satisfiability is 1 1 -hard for rational ε ∈ (0, 1), which completes our proof that ε-satisfiability is 1 1 -complete for such ε. Finally, in § 8 we use the results from section 6 to show that 0-logic is compact, contrasting an earlier result by Kuyper and Terwijn [8,Theorem 8.1] that ε-logic is not compact for rational ε ∈ (0, 1).…”
Section: Introductionmentioning
confidence: 82%
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“…This contrasts our result in § 7 that ε-satisfiability is 1 1 -hard for rational ε ∈ (0, 1), which completes our proof that ε-satisfiability is 1 1 -complete for such ε. Finally, in § 8 we use the results from section 6 to show that 0-logic is compact, contrasting an earlier result by Kuyper and Terwijn [8,Theorem 8.1] that ε-logic is not compact for rational ε ∈ (0, 1).…”
Section: Introductionmentioning
confidence: 82%
“…We recall some more definitions from [8]. D) is an ε-model (N , E) over the same language such that N is a submodel of M in the classical sense and such that E is a submeasure of D. We shall denote this by (N , E) ⊂ ε (M, D).…”
Section: Example 25mentioning
confidence: 99%
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