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  1. Parameter dependence and outcome dependence in dynamical models for state vector reduction.G. C. Ghirardi, R. Grassi, J. Butterfield & G. N. Fleming - 1993 - Foundations of Physics 23 (3):341-364.
    We apply the distinction between parameter independence and outcome independence to the linear and nonlinear models of a recent nonrelativistic theory of continuous state vector reduction. We show that in the nonlinear model there is a set of realizations of the stochastic process that drives the state vector reduction for which parameter independence is violated for parallel spin components in the EPR-Bohm setup. Such a set has an appreciable probability of occurrence (≈ 1/2). On the other hand, the linear model (...)
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  • Relativistic dynamical reduction models: General framework and examples. [REVIEW]G. C. Ghirardi, R. Grassi & P. Pearle - 1990 - Foundations of Physics 20 (11):1271-1316.
    The formulation of a relativistic theory of state-vector reduction is proposed and analyzed, and its conceptual consequences are elucidated. In particular, a detailed discussion of stochastic invariance and of local and nonlocal aspects at the level of individual systems is presented.
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