Extracting Nonlinear Dynamical Response Functions from Time Evolution

Fuente: arXiv
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Autor principal: Ono, Atsushi
Formato: Preprint
Publicado: 2025
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author Ono, Atsushi
author_facet Ono, Atsushi
contents We develop a general framework based on the functional derivative to extract nonlinear dynamical response functions from the temporal evolution of physical quantities, without explicitly computing multipoint correlation functions. We validate our approach by calculating the second- and third-order optical responses in the Rice-Mele model and further apply it to a many-body interacting system using a tensor network method. This framework is broadly applicable to any method that can compute real-time dynamics, offering a powerful and versatile tool for investigating nonlinear responses in dynamical systems.
format Preprint
id arxiv_https___arxiv_org_abs_2507_07679
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Extracting Nonlinear Dynamical Response Functions from Time Evolution
Ono, Atsushi
Strongly Correlated Electrons
Mesoscale and Nanoscale Physics
Statistical Mechanics
Optics
Quantum Physics
We develop a general framework based on the functional derivative to extract nonlinear dynamical response functions from the temporal evolution of physical quantities, without explicitly computing multipoint correlation functions. We validate our approach by calculating the second- and third-order optical responses in the Rice-Mele model and further apply it to a many-body interacting system using a tensor network method. This framework is broadly applicable to any method that can compute real-time dynamics, offering a powerful and versatile tool for investigating nonlinear responses in dynamical systems.
title Extracting Nonlinear Dynamical Response Functions from Time Evolution
topic Strongly Correlated Electrons
Mesoscale and Nanoscale Physics
Statistical Mechanics
Optics
Quantum Physics
url https://arxiv.org/abs/2507.07679