The renormalization group via statistical inference

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Autorschaft

  • Cédric Bény
  • Tobias J. Osborne

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OriginalspracheEnglisch
Aufsatznummer083005
FachzeitschriftNew Journal of Physics
Jahrgang17
Ausgabenummer8
PublikationsstatusVeröffentlicht - 5 Aug. 2015

Abstract

In physics, one attempts to infer the rules governing a system given only the results of imperfect measurements. Hence, microscopic theories may be effectively indistinguishable experimentally. We develop an operationally motivated procedure to identify the corresponding equivalence classes of states, and argue that the renormalization group (RG) arises from the inherent ambiguities associated with the classes: one encounters flow parameters as, e.g., a regulator, a scale, or a measure of precision, which specify representatives in a given equivalence class. This provides a unifying framework and reveals the role played by information in renormalization. We validate this idea by showing that it justifies the use of low-momenta n-point functions as statistically relevant observables around a Gaussian hypothesis. These results enable the calculation of distinguishability in quantum field theory. Our methods also provide a way to extend renormalization techniques to effective models which are not based on the usual quantum-field formalism, and elucidates the relationships between various type of RG.

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The renormalization group via statistical inference. / Bény, Cédric; Osborne, Tobias J.
in: New Journal of Physics, Jahrgang 17, Nr. 8, 083005, 05.08.2015.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Bény C, Osborne TJ. The renormalization group via statistical inference. New Journal of Physics. 2015 Aug 5;17(8):083005. doi: 10.1088/1367-2630/17/8/083005
Bény, Cédric ; Osborne, Tobias J. / The renormalization group via statistical inference. in: New Journal of Physics. 2015 ; Jahrgang 17, Nr. 8.
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