Hostname: page-component-848d4c4894-x5gtn Total loading time: 0 Render date: 2024-05-05T16:02:04.332Z Has data issue: false hasContentIssue false

MODEL THEORY OF MEASURE SPACES AND PROBABILITY LOGIC

Published online by Cambridge University Press:  08 April 2013

RUTGER KUYPER*
Affiliation:
Department of Mathematics, Radboud University Nijmegen
SEBASTIAAN A. TERWIJN*
Affiliation:
Department of Mathematics, Radboud University Nijmegen
*
*DEPARTMENT OF MATHEMATICS RADBOUD UNIVERSITY NIJMEGEN P.O. BOX 9010, 6500 GL NIJMEGEN, THE NETHERLANDS E-mail: r.kuyper@math.ru.nl, terwijn@math.ru.nl

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.

Type
Research Article
Copyright
Copyright © Association for Symbolic Logic 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

BIBLIOGRAPHY

Aliprantis, C. D., & Border, K. C. (2006). Infinite-dimensional Analysis: A Hitchhiker’s Guide. Berlin, Germany: Springer.Google Scholar
Bageri, S.-M., & Pourmahdian, M. (2009). The logic of integration. Archive for Mathematical Logic, 48, 465492.Google Scholar
Birkhoff, G. (1948). Lattice Theory (revised edition). Providence, RI: American Mathematical Society.Google Scholar
Bogachev, V. I. (2007). Measure Theory. Berlin, Germany: Springer.Google Scholar
Carnap, R. (1945). On inductive logic. Philosophy of Science, 12, 7297.CrossRefGoogle Scholar
Fremlin, D. H. (1984). Consequences of Martin’s Axiom. Cambridge University Press.Google Scholar
Gaifman, H. (1964). Concerning measures in first order calculi. Israel Journal of Mathematics, 2, 118.Google Scholar
Halpern, J. Y. (1989). An analysis of first-order logics of probability. In: Sridharan, N. S., editor. Proceedings of 11th International Joint Conference on Artificial Intelligence (IJCAI-89). San Francisco, CA: Morgan Kaufmann Publishers, Inc. pp. 13751381.Google Scholar
Hansson, H., & Jonsson, B. (1994). A logic for reasoning about time and reliability. Formal Aspects of Computing, 6, 512535.Google Scholar
Hodges, W. (1993). Model Theory. Cambridge, UK: Cambridge University Press.Google Scholar
Howson, C. (2009). Can logic be combined with probability? Probably. Journal of Applied Logic, 7, 177187.Google Scholar
Jaeger, M. (2005). A logic for inductive probabilistic reasoning. Synthese, 144, 181248.CrossRefGoogle Scholar
Kearns, M. J., & Vazirani, U. V. (1994). An Introduction to Computational Learning Theory. Cambridge, MA: MIT Press.Google Scholar
Kechris, A. S. (1995). Classical Descriptive Set Theory. New York, NY: Springer.CrossRefGoogle Scholar
Keisler, H. J. (1985). Probability quantifiers. In Barwise, J., and Feferman, S., editors. Model-Theoretic Logics. New York, NY: Springer-Verlag, pp. 509556.Google Scholar
Kunen, K. (1983). Set Theory: An Introduction to Independence Proofs. Amsterdam, the Netherlands: North-Holland.Google Scholar
Loeb, P. A. (1975). Conversion from nonstandard to standard measure spaces and applications in probability theory. Transactions of the American Mathematical Society, 211, 113122.Google Scholar
Scott, D., & Krauss, P. (1966). Assigning probabilities to logical formulas. In Hintikka, J., and Suppes, P., editors. Aspects of Inductive Logic. Amsterdam, the Netherlands: North Holland, pp. 219264.Google Scholar
Steinhorn, C. I. (1985). Borel structures and measure and category logics. In Barwise, J., and Feferman, S., editors. Model Theoretic Logics. New York, NY: Springer-Verlag, pp. 579596.Google Scholar
Terwijn, S. A. (2005). Probabilistic logic and induction. Journal of Logic and Computation, 15, 507515.CrossRefGoogle Scholar
Terwijn, S. A. (2009). Decidability and undecidability in probability logic. In: Nerode, A., and Artemov, S., editors. Proceedings of Logical Foundations of Computer Science. Lecture Notes in Computer Science 5407. Berlin, Germany: Springer, pp. 441450.Google Scholar
Valiant, L. G. (2000). Robust logics. Artificial Intelligence, 117, 231253.Google Scholar
Väänänen, J. (2008). The Craig interpolation theorem in abstract model theory. Synthese, 164, 401420.Google Scholar