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  1. Why ergodic theory does not explain the success of equilibrium statistical mechanics.John Earman & Miklós Rédei - 1996 - British Journal for the Philosophy of Science 47 (1):63-78.
    We argue that, contrary to some analyses in the philosophy of science literature, ergodic theory falls short in explaining the success of classical equilibrium statistical mechanics. Our claim is based on the observations that dynamical systems for which statistical mechanics works are most likely not ergodic, and that ergodicity is both too strong and too weak a condition for the required explanation: one needs only ergodic-like behaviour for the finite set of observables that matter, but the behaviour must ensure that (...)
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  • (1 other version)The foundations of quantum mechanics and the approach to thermodynamic equilibrium.David Z. Albert - 1994 - British Journal for the Philosophy of Science 45 (2):669-677.
    It is argued that certain recent advances in the construction of a theory of the collapses of Quantum Mechanical wave functions suggest the possibility of new and improved foundations for statistical mechanics, foundations in which epistemic considerations play no role.
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  • Computable chaos.John A. Winnie - 1992 - Philosophy of Science 59 (2):263-275.
    Some irrational numbers are "random" in a sense which implies that no algorithm can compute their decimal expansions to an arbitrarily high degree of accuracy. This feature of (most) irrational numbers has been claimed to be at the heart of the deterministic, but chaotic, behavior exhibited by many nonlinear dynamical systems. In this paper, a number of now classical chaotic systems are shown to remain chaotic when their domains are restricted to the computable real numbers, providing counterexamples to the above (...)
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  • There is good physics in theory reduction.Fritz Rohrlich - 1990 - Foundations of Physics 20 (11):1399-1412.
    Theory reduction is analyzed and examples are presented from various branches of physics. The procedure takes different forms in different theories. Examples from various theories are arranged in increasing order of difficulty. Special emphasis is placed on the quantum to classical reduction. It is argued that there is good and interesting physics in theory reduction and that it deserves more attention than it has been receiving in the past.
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  • The logic of reduction: The case of gravitation. [REVIEW]Fritz Rohrlich - 1989 - Foundations of Physics 19 (10):1151-1170.
    The reduction from Einstein's to Newton's gravitation theories (and intermediate steps) is used to exemplify reduction in physical theories. Both dimensionless and dimensional reduction are presented, and the advantages and disadvantages of each are pointed out. It is concluded that neither a completely reductionist nor a completely antireductionist view can be maintained. Only the mathematical structure is strictly reducible. The interpretation (the model, the central concepts) of the superseded theory T′ can at best only partially be derived directly from the (...)
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  • Pluralistic ontology and theory reduction in the physical sciences.Fritz Rohrlich - 1988 - British Journal for the Philosophy of Science 39 (3):295-312.
    It is demonstrated that the reduction of a physical theory S to another one, T, in the sense that S can be derived from T holds in general only for the mathematical framework. The interpretation of S and the associated central terms cannot all be derived from those of T because of the qualitative differences between the cognitive levels of S and T. Their cognitively autonomous status leads to an epistemic as well as an ontological pluralism. This pluralism is consistent (...)
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  • Chaos, quantization, and the correspondence principle.Robert W. Batterman - 1991 - Synthese 89 (2):189 - 227.
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  • Chaos and algorithmic complexity.Robert W. Batterman & Homer White - 1996 - Foundations of Physics 26 (3):307-336.
    Our aim is to discover whether the notion of algorithmic orbit-complexity can serve to define “chaos” in a dynamical system. We begin with a mostly expository discussion of algorithmic complexity and certain results of Brudno, Pesin, and Ruelle (BRP theorems) which relate the degree of exponential instability of a dynamical system to the average algorithmic complexity of its orbits. When one speaks of predicting the behavior of a dynamical system, one usually has in mind one or more variables in the (...)
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  • The Emergence of Classical Properties from Quantum Mechanics: New Problems from Old.Leslie E. Ballentine - 1995 - In M. Ferrero & Alwyn van der Merwe (eds.), Fundamental Problems in Quantum Physics. Springer. pp. 15--28.
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  • Quantum Chaos and Semiclassical Mechanics.Robert Batterman - 1992 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:50-65.
    This paper discusses the problem of finding and defining chaos in quantum mechanics. While chaotic time evolution appears to be ubiquitous in classical mechanics, it is apparently absent in quantum mechanics in part because for a bound, isolated quantum system, the evolution of its state is multiply periodic. This has led a number of investigators to search for semiclassical signatures of chaos. Here I am concerned with the status of semiclassical mechanics as a distinct third theory of the asymptotic domain (...)
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