Eigenvalue distribution from bootstrap estimates

Fuente: arXiv
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Auteurs principaux: Kováčik, Samuel, Magdolenová, Katarína
Format: Preprint
Publié: 2025
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author Kováčik, Samuel
Magdolenová, Katarína
author_facet Kováčik, Samuel
Magdolenová, Katarína
contents The bootstrap method has proven useful for a wide range of matrix models. Here, we show that the computed momenta can be used to reconstruct the underlying eigenvalue probability distribution, which in turn allows us to compute the free energy of the model, a necessary quantity for identifying the thermodynamically preferred solution. We verify the method on the well-studied quartic potential model and then apply it to a recently analysed asymmetric multi-trace model. We consider an extended class of possible solutions and demonstrate that free-energy analysis reliably selects the correct one, making it an essential tool for studying models with a complex solution structure.
format Preprint
id arxiv_https___arxiv_org_abs_2509_16005
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Eigenvalue distribution from bootstrap estimates
Kováčik, Samuel
Magdolenová, Katarína
High Energy Physics - Theory
The bootstrap method has proven useful for a wide range of matrix models. Here, we show that the computed momenta can be used to reconstruct the underlying eigenvalue probability distribution, which in turn allows us to compute the free energy of the model, a necessary quantity for identifying the thermodynamically preferred solution. We verify the method on the well-studied quartic potential model and then apply it to a recently analysed asymmetric multi-trace model. We consider an extended class of possible solutions and demonstrate that free-energy analysis reliably selects the correct one, making it an essential tool for studying models with a complex solution structure.
title Eigenvalue distribution from bootstrap estimates
topic High Energy Physics - Theory
url https://arxiv.org/abs/2509.16005