Compression theory for inhomogeneous systems

Abstract The physics of complex systems stands to greatly benefit from the qualitative changes in data availability and advances in data-driven computational methods. Many of these systems can be represented by interacting degrees of freedom on inhomogeneous graphs. However, the lack of translationa...

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Main Authors: Doruk Efe Gökmen, Sounak Biswas, Sebastian D. Huber, Zohar Ringel, Felix Flicker, Maciej Koch-Janusz
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-54341-8
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author Doruk Efe Gökmen
Sounak Biswas
Sebastian D. Huber
Zohar Ringel
Felix Flicker
Maciej Koch-Janusz
author_facet Doruk Efe Gökmen
Sounak Biswas
Sebastian D. Huber
Zohar Ringel
Felix Flicker
Maciej Koch-Janusz
author_sort Doruk Efe Gökmen
collection DOAJ
description Abstract The physics of complex systems stands to greatly benefit from the qualitative changes in data availability and advances in data-driven computational methods. Many of these systems can be represented by interacting degrees of freedom on inhomogeneous graphs. However, the lack of translational invariance presents a fundamental challenge to theoretical tools, such as the renormalization group, which were so successful in characterizing the universal physical behaviour in critical phenomena. Here we show that compression theory allows the extraction of relevant degrees of freedom in arbitrary geometries, and the development of efficient numerical tools to build an effective theory from data. We demonstrate our method by applying it to a strongly correlated system on an Ammann-Beenker quasicrystal, where it discovers an exotic critical point with broken conformal symmetry. We also apply it to an antiferromagnetic system on non-bipartite random graphs, where any periodicity is absent.
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institution Kabale University
issn 2041-1723
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publishDate 2024-11-01
publisher Nature Portfolio
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spelling doaj-art-0827e7b3a4ee4d5e8f9dd91f0acc01362024-12-01T12:34:23ZengNature PortfolioNature Communications2041-17232024-11-011511810.1038/s41467-024-54341-8Compression theory for inhomogeneous systemsDoruk Efe Gökmen0Sounak Biswas1Sebastian D. Huber2Zohar Ringel3Felix Flicker4Maciej Koch-Janusz5Institute for Theoretical Physics, ETH ZurichInstitut für Theoretische Physik und Astrophysik, Universität WürzburgInstitute for Theoretical Physics, ETH ZurichRacah Institute of Physics, Hebrew UniversitySchool of Physics, Tyndall AvenueJames Franck Institute, The University of ChicagoAbstract The physics of complex systems stands to greatly benefit from the qualitative changes in data availability and advances in data-driven computational methods. Many of these systems can be represented by interacting degrees of freedom on inhomogeneous graphs. However, the lack of translational invariance presents a fundamental challenge to theoretical tools, such as the renormalization group, which were so successful in characterizing the universal physical behaviour in critical phenomena. Here we show that compression theory allows the extraction of relevant degrees of freedom in arbitrary geometries, and the development of efficient numerical tools to build an effective theory from data. We demonstrate our method by applying it to a strongly correlated system on an Ammann-Beenker quasicrystal, where it discovers an exotic critical point with broken conformal symmetry. We also apply it to an antiferromagnetic system on non-bipartite random graphs, where any periodicity is absent.https://doi.org/10.1038/s41467-024-54341-8
spellingShingle Doruk Efe Gökmen
Sounak Biswas
Sebastian D. Huber
Zohar Ringel
Felix Flicker
Maciej Koch-Janusz
Compression theory for inhomogeneous systems
Nature Communications
title Compression theory for inhomogeneous systems
title_full Compression theory for inhomogeneous systems
title_fullStr Compression theory for inhomogeneous systems
title_full_unstemmed Compression theory for inhomogeneous systems
title_short Compression theory for inhomogeneous systems
title_sort compression theory for inhomogeneous systems
url https://doi.org/10.1038/s41467-024-54341-8
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AT sounakbiswas compressiontheoryforinhomogeneoussystems
AT sebastiandhuber compressiontheoryforinhomogeneoussystems
AT zoharringel compressiontheoryforinhomogeneoussystems
AT felixflicker compressiontheoryforinhomogeneoussystems
AT maciejkochjanusz compressiontheoryforinhomogeneoussystems