36 research outputs found

    Series Editors: Dennis Dieks and Miklos Redei

    No full text

    When can statistical theories be causally closed?

    Get PDF
    The notion of common cause closedness of a classical, Kolmogorovian probability space with respect to a causal independence relation between the random events is defined, and propositions are presented that characterize common cause closedness for specific probability spaces. It is proved in particular that no probability space with a finite number of random events can contain common causes of all the correlations it predicts; however, it is demonstrated that probability spaces even with a finite number of random events can be common cause closed with respect to a causal independence relation that is stronger than logical independence. Furthermore it is shown that infinite, atomless probability spaces are always common cause closed in the strongest possible sense. Open problems concerning common cause closedness are formulated and the results are interpreted from the perspective of Reichenbach's Common Cause Principle

    Reichenbachian Common Cause Systems

    Get PDF
    A partition {Ci}iI\{C_i\}_{i\in I} of a Boolean algebra \cS in a probability measure space (\cS,p) is called a Reichenbachian common cause system for the correlated pair A,BA,B of events in \cS if any two elements in the partition behave like a Reichenbachian common cause and its complement, the cardinality of the index set II is called the size of the common cause system. It is shown that given any correlation in (\cS,p), and given any finite size n>2n>2, the probability space (\cS,p) can be embedded into a larger probability space in such a manner that the larger space contains a Reichenbachian common cause system of size nn for the correlation. It also is shown that every totally ordered subset in the partially ordered set of all partitions of \cS$ contains only one Reichenbachian common cause system. Some open problems concerning Reichenbachian common cause systems are formulated

    Do the Causal Principles of Modern Physics Contradict Causal Anti-Fundamentalism?

    Get PDF
    In Norton(2003), it was urged that the world does not conform at a fundamental level to some robust principle of causality. To defend this view, I now argue that the causal notions and principles of modern physics do not express some universal causal principle, brought to light by discoveries in physics. Rather they merely assert that, according to relativity theory, spacetime has an invariant velocity, that of light; and that theories of matter admit no propagations faster than light

    Local primitive causality and the common cause principle in quantum field theory

    No full text
    If {A(V)}\{{\cal A}(V)\} is a net of local von Neumann algebras satisfying standard axioms of algebraic relativistic quantum field theory and V1V_1 and V2V_2 are spacelike separated spacetime regions, then the system (A(V1),A(V2),ϕ)({\cal A}(V_1),{\cal A}(V_2),\phi) is said to satisfy the Weak Reichenbach's Common Cause Principle iff for every pair of projections AA(V1)A\in{\cal A}(V_1), BA(V2)B\in{\cal A}(V_2) correlated in the normal state ϕ\phi there exists a projection CC belonging to a von Neumann algebra associated with a spacetime region VV contained in the union of the backward light cones of V1V_1 and V2V_2 and disjoint from both V1V_1 and V2V_2, a projection having the properties of a Reichenbachian common cause of the correlation between AA and BB. It is shown that if the net has the local primitive causality property then every local system (A(V1),A(V2),ϕ)({\cal A}(V_1),{\cal A}(V_2),\phi) with a locally normal and locally faithful state ϕ\phi and open bounded V1V_1 and V2V_2 satisfies the Weak Reichenbach's Common Cause Principle

    Editorial

    No full text

    Probability and Typicality in Deterministic Physics

    Get PDF
    Recently it has been argued that typicality considerations play a crucial explanatory role in deterministic theories in physics (e.g. classical statistical mechanics and Bohmian mechanics). In this approach a sharp distinction is made between typicality and probability. We analyze in this paper the relation between the notion of typicality and probability, the question of the choice of measure in deterministic theories in physics, and the way in which probability and typicality arise and should be understood in such theories. We argue that in deterministic theories it is the notion of probability rather than typicality that may (sometimes) have explanatory value
    corecore