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2 - The Common Cause Principle

Published online by Cambridge University Press:  05 June 2013

Gábor Hofer-Szabó
Affiliation:
Eötvös Loránd University, Budapest
Miklós Rédei
Affiliation:
London School of Economics and Political Science
László E. Szabó
Affiliation:
Eötvös Loránd University, Budapest
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Summary

Reichenbach's notion of common cause

In what follows (X, S, p) denotes a classical Kolmogorovian probability space with Boolean algebra S of subsets of a set X (with respect to the set theoretic operations ∩, ∪ and A = X\A as Boolean algebra operations) and with the probability measure p on S. (See the Appendix for a concise review of the basic concepts of measure theoretic probability theory.) Elements of S are called random events (elements of X are sometimes called (random) elementary events). It is common to assume in probability theory that p is a countably additive (also called σ-additive) and not just a finitely additive measure but the assumption of countable additivity is somewhat controversial in the philosophical literature. The distinction between countable and finite additivity will not play any role in Chapters 3–5, 7 and 9: the results presented are valid under the assumption of either finite or countable additivity. Countable additivity will play a role in Chapters 6 and 8, however, where the problem of correlations in nonclassical (quantum) probability spaces will be investigated, and where the quantum counterpart of p will be assumed to be countably additive (“normal” in the terminology of the theory von Neumann algebras).

If S has a finite number of elements, then it is the power set P(X)of a set X having n < ∞ elements denoted by ai (i = 1, 2 …n); in this case we write Sn.

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Publisher: Cambridge University Press
Print publication year: 2013

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