2020
DOI: 10.1093/bjps/axy020
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Asymmetry, Abstraction, and Autonomy: Justifying Coarse-Graining in Statistical Mechanics

Abstract: While the fundamental laws of physics are time-reversal invariant, most macroscopic processes are irreversible. Given that the fundamental laws are taken to underpin all other processes, how can the fundamental time-symmetry be reconciled with the asymmetry manifest elsewhere? In statistical mechanics (SM), progress can be made with this question. What I dub the ‘Zwanzig–Zeh–Wallace framework’ can be used to construct the irreversible equations of SM from the underlying microdynamics. Yet this framework uses c… Show more

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Cited by 20 publications
(39 citation statements)
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“…A recent philosophical discussion of this problem based on the Mori-Zwanzig projection operator method can be found in Ref. [40]. Moreover, it is discussed what precisely justifies the assumption of Markovian behavior [2].…”
Section: Mori-zwanzig Equation In a General Contextmentioning
confidence: 99%
“…A recent philosophical discussion of this problem based on the Mori-Zwanzig projection operator method can be found in Ref. [40]. Moreover, it is discussed what precisely justifies the assumption of Markovian behavior [2].…”
Section: Mori-zwanzig Equation In a General Contextmentioning
confidence: 99%
“…But coarse-graining is not a form of distortion, but rather irrelevant details are thrown away -and so this is a case of abstraction. (See Robertson (2019) for more details, and Myrvold (2014) for a similar line).…”
Section: Rapid Changesmentioning
confidence: 91%
“…In statistical physics, the formulation of a pertinent phase space for a given kind of system, the assignment of probabilities to the different micro-states and macrostates of the system, and the selection of the criteria for the coarse-graining of the phase space are non-trivial tasks. They require background knowledge about some features of the causal structure of the target system and its laws of motion; they also require to choose a relevant set of observables and symmetries, which determine what properties of the system being modelled are preserved (or remain invariant) under some transformation (Español 2004;Robertson 2020).…”
Section: Phase Spaces In Biologymentioning
confidence: 99%