Skip to main content

Probability Functions in the Context of Signed Involutive Meadows (Extended Abstract)

  • Conference paper
  • First Online:
Recent Trends in Algebraic Development Techniques (WADT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10644))

Included in the following conference series:

Abstract

The Kolmogorov axioms for probability functions are placed in the context of signed meadows. A completeness theorem is stated and proven for the resulting equational theory of probability calculus. Elementary definitions of probability theory are restated in this framework.

This paper is a shortened version of http://arxiv.org/abs/1307.5173v4.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Events are closed under \(-\vee -\), which represents alternative occurrence and \(-\wedge -\), which represents simultaneous occurrence, and under negation.

  2. 2.

    Rational numbers and real numbers are instances of values.

  3. 3.

    We will exclude probability functions with negative values, a phenomenon known in non-commutative probability theory, leaving the exploration of that kind of generalization to future work.

  4. 4.

    In some cases the restriction to a single probability function P is impractical and providing a dedicated sort for such functions brings more flexibility and expressive power. This expansion may be achieved in different ways.

  5. 5.

    We assume that in a context of partial functions an identity \(t=r\) is valid if either both sides are undefined or both sides are defined and equal. This convention, however, leaves room for alternative readings of the expressions at hand. In particular the definition given for \(x \lhd y \rhd z\) implies that whenever t is undefined, so is \(t \lhd r \rhd s\). That is not a very plausible feature of the conditional and in the presence of partial operations the conditional operator requires a different definition. These complications are to some extent avoided, or rather made entirely explicit, when working with total functions. The use of the notation \(P^\star (-|-)\) instead of the common notation \(P(-|-)\) is justified by the fact that unavoidably \(P^\star (-|-)\) inherits properties from the equational specification of the functions from which it has been made up. Such properties need not not coincide with what is expected from \(P(-|-)\).

  6. 6.

    http://arxiv.org/abs/1307.5173v1.

  7. 7.

    More generally, \(\textit{BA}+\textit{Md}+\textit{Sign}+\textit{PF}_P\) is sound for the class of -structures with a signed cancellation meadow.

  8. 8.

    From this pair of inequalities one can derive the original Bell inequalities from [3]. The key observation of Bell was that quantum mechanics gives rise to the hypothesis that a 4-dimensional event space exists in which a family of joint probabilities for at most two dimensions can be found that violates the inequalities from the theorem.

  9. 9.

    This meeting took place at Science Park Amsterdam, Friday June 7, 2013 under the heading “Frontiers of Forensic Science”, and was organized by Andrea Haker.

References

  1. Adams, E.: Probability and the logic of conditionals. In: Hintikka, J., Suppes, P. (eds.) Aspects of Inductive Logic, pp. 265–316. North-Holland (1966)

    Google Scholar 

  2. Barber, D.: Bayesian Reasoning and Machine Learning. Cambridge University Press, Cambridge (2012). http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.Online. ISBN 0521518148, 9780521518147. On-line version 18 November 2015

    MATH  Google Scholar 

  3. Bell, J.S.: On the Einstein Podolsky Rosen paradox. Physics 1(3), 195–200 (1964)

    Google Scholar 

  4. Bergstra, J.A., Bethke, I., Ponse, A.: Cancellation meadows: a generic basis theorem and some applications. Comput. J. 56(1), 3–14 (2013). https://doi.org/10.1093/comjnl/bxs028. https://arxiv.org/abs/0803.3969v3

    Article  Google Scholar 

  5. Bergstra, J.A., Bethke, I., Ponse, A.: Equations for formally real meadows. J. Appl. Log. 13(2, Part B), 1–23 (2015). https://doi.org/10.1016/j.jal.2015.01.004. https://arxiv.org/abs/1310.5011v4

    Article  MathSciNet  MATH  Google Scholar 

  6. Bergstra, J.A., Middelburg, C.A.: Inversive meadows and divisive meadows. J. Appl. Log. 9(3), 203–220 (2011). https://arxiv.org/abs/0907.0540v3

    Article  MathSciNet  MATH  Google Scholar 

  7. Bergstra, J.A., Middelburg, C.A.: Division by zero in involutive meadows. J. Appl. Log. 13(1), 1–12 (2015). https://arxiv.org/abs/1406.2092

    Article  MathSciNet  MATH  Google Scholar 

  8. Bergstra, J.A., Ponse, A.: Fracpairs and fractions over a reduced commutative ring. Indag. Math. 27, 727–748 (2016). https://doi.org/10.1016/j.indag.2016.01.007. https://arxiv.org/abs/1411.4410v2

    Article  MathSciNet  MATH  Google Scholar 

  9. Carlström, J.: Wheels - on division by zero. Math. Struct. Comput. Sci. 14(1), 143–184 (2004). https://doi.org/10.1017/S0960129503004110

    Article  MathSciNet  MATH  Google Scholar 

  10. Fine, A.: Joint distributions, quantum correlations, and commuting observables. J. Math. Phys. 23, 1306–1310 (1982). https://doi.org/10.1063/1.525514

    Article  MathSciNet  Google Scholar 

  11. Fine, A.: Hidden variables, joint probability, and the Bell inequalities. Phys. Rev. Lett. 48(5), 291–295 (1982). https://doi.org/10.1103/PhysRevLett.48.291

    Article  MathSciNet  Google Scholar 

  12. Milne, P.: Bruno de Finetti and the logic of conditional events. Br. J. Philos. Sci. 48, 195–232 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  13. de Muynck, W.M.: Foundations of quantum mechanics, an empiricist approach. In: Fundamental Theories of Physics, vol. 127. Kluwer Academic Publishers (2002). Pre-publication version: http://www.phys.tue.nl/ktn/Wim/Kluwerbookprepversion.pdf

  14. Padmanabhan, H.: A self-dual equational basis for Boolean algebras. Canad. Math. Bull. 26(1), 9–12 (1983)

    Article  MathSciNet  MATH  Google Scholar 

  15. Rastall, P.: The Bell inequalities. Found. Phys. 13(6), 555–570 (1983)

    Article  MathSciNet  Google Scholar 

  16. dos Reis, T.S., Gomide, W., Anderson, J.A.D.W.: Construction of the transreal numbers and algebraic transfields. IAENG Int. J. Appl. Math. 46(1), 11–23 (2016). http://www.iaeng.org/IJAM/issues_v46/issue_1/IJAM_46_1_03.pdf

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alban Ponse .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bergstra, J.A., Ponse, A. (2017). Probability Functions in the Context of Signed Involutive Meadows (Extended Abstract). In: James, P., Roggenbach, M. (eds) Recent Trends in Algebraic Development Techniques. WADT 2016. Lecture Notes in Computer Science(), vol 10644. Springer, Cham. https://doi.org/10.1007/978-3-319-72044-9_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-72044-9_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72043-2

  • Online ISBN: 978-3-319-72044-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics