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Publication Detail
Uncomputably complex renormalisation group flows
  • Publication Type:
    Journal article
  • Authors:
    Watson JD, Onorati E, Cubitt TS
  • Publisher:
    Springer Science and Business Media LLC
  • Publication date:
    09/12/2022
  • Journal:
    Nature Communications
  • Volume:
    13
  • Article number:
    7618
  • Medium:
    Electronic
  • Status:
    Published
  • Country:
    England
  • Print ISSN:
    2041-1723
  • PII:
    10.1038/s41467-022-35179-4
  • Language:
    English
  • Notes:
    This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Abstract
Renormalisation group methods are among the most important techniques for analysing the physics of many-body systems: by iterating a renormalisation group map, which coarse-grains the description of a system and generates a flow in the parameter space, physical properties of interest can be extracted. However, recent work has shown that important physical features, such as the spectral gap and phase diagram, may be impossible to determine, even in principle. Following these insights, we construct a rigorous renormalisation group map for the original undecidable many-body system that appeared in the literature, which reveals a renormalisation group flow so complex that it cannot be predicted. We prove that each step of this map is computable, and that it converges to the correct fixed points, yet the resulting flow is uncomputable. This extreme form of unpredictability for renormalisation group flows had not been shown before and goes beyond the chaotic behaviour seen previously.
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