The edge of random tensor eigenvalues with deviation

Abstract The largest eigenvalue of random tensors is an important feature of systems involving disorder, equivalent to the ground state energy of glassy systems or to the injective norm of quantum states. For symmetric Gaussian random tensors of order 3 and of size N, in the presence of a Gaussian n...

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Main Authors: Nicolas Delporte, Naoki Sasakura
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Journal of High Energy Physics
Subjects:
Online Access:https://doi.org/10.1007/JHEP01(2025)071
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author Nicolas Delporte
Naoki Sasakura
author_facet Nicolas Delporte
Naoki Sasakura
author_sort Nicolas Delporte
collection DOAJ
description Abstract The largest eigenvalue of random tensors is an important feature of systems involving disorder, equivalent to the ground state energy of glassy systems or to the injective norm of quantum states. For symmetric Gaussian random tensors of order 3 and of size N, in the presence of a Gaussian noise, continuing the work [1], we compute the genuine and signed eigenvalue distributions, using field theoretic methods at large N combined with earlier rigorous results of [2]. We characterize the behaviour of the edge of the two distributions as the variance of the noise increases. We find two critical values of the variance, the first of which corresponding to the emergence of an outlier from the main part of the spectrum and the second where this outlier merges with the corresponding largest eigenvalue and they both become complex. We support our claims with Monte Carlo simulations. We believe that our results set the ground for a definition of pseudospectrum of random tensors based on Z-eigenvalues.
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spelling doaj-art-7cfca0d20ba64ebda21fe6307829a72d2025-01-19T12:07:42ZengSpringerOpenJournal of High Energy Physics1029-84792025-01-012025112710.1007/JHEP01(2025)071The edge of random tensor eigenvalues with deviationNicolas Delporte0Naoki Sasakura1Okinawa Institute of Science and Technology Graduate UniversityYukawa Institute for Theoretical Physics, Kyoto UniversityAbstract The largest eigenvalue of random tensors is an important feature of systems involving disorder, equivalent to the ground state energy of glassy systems or to the injective norm of quantum states. For symmetric Gaussian random tensors of order 3 and of size N, in the presence of a Gaussian noise, continuing the work [1], we compute the genuine and signed eigenvalue distributions, using field theoretic methods at large N combined with earlier rigorous results of [2]. We characterize the behaviour of the edge of the two distributions as the variance of the noise increases. We find two critical values of the variance, the first of which corresponding to the emergence of an outlier from the main part of the spectrum and the second where this outlier merges with the corresponding largest eigenvalue and they both become complex. We support our claims with Monte Carlo simulations. We believe that our results set the ground for a definition of pseudospectrum of random tensors based on Z-eigenvalues.https://doi.org/10.1007/JHEP01(2025)071Effective Field TheoriesField Theories in Lower DimensionsNonperturbative EffectsRandom Systems
spellingShingle Nicolas Delporte
Naoki Sasakura
The edge of random tensor eigenvalues with deviation
Journal of High Energy Physics
Effective Field Theories
Field Theories in Lower Dimensions
Nonperturbative Effects
Random Systems
title The edge of random tensor eigenvalues with deviation
title_full The edge of random tensor eigenvalues with deviation
title_fullStr The edge of random tensor eigenvalues with deviation
title_full_unstemmed The edge of random tensor eigenvalues with deviation
title_short The edge of random tensor eigenvalues with deviation
title_sort edge of random tensor eigenvalues with deviation
topic Effective Field Theories
Field Theories in Lower Dimensions
Nonperturbative Effects
Random Systems
url https://doi.org/10.1007/JHEP01(2025)071
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