Self-similar renormalization for nonlinear problems

Fuente: arXiv
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Main Authors: Yukalov, V. I., Yukalova, E. P.
Format: Preprint
Published: 2025
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author Yukalov, V. I.
Yukalova, E. P.
author_facet Yukalov, V. I.
Yukalova, E. P.
contents A new method, called the method of self-similar approximants, and its recent developments are described. The method is based on the ideas of renormalization group theory and optimal control theory. It allows for the effective extrapolation of asymptotic series in powers of small variables to the finite and even to infinite variables. The approach is proved to be regular. It is illustrated by several examples demonstrating good agreement with numerical calculations. The method is shown to provide accurate approximate solutions to complex nonlinear problems. In some cases, the method allows for the reconstruction of exact solutions on the basis of rather short perturbative series.
format Preprint
id arxiv_https___arxiv_org_abs_2505_12119
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Self-similar renormalization for nonlinear problems
Yukalov, V. I.
Yukalova, E. P.
Mathematical Physics
A new method, called the method of self-similar approximants, and its recent developments are described. The method is based on the ideas of renormalization group theory and optimal control theory. It allows for the effective extrapolation of asymptotic series in powers of small variables to the finite and even to infinite variables. The approach is proved to be regular. It is illustrated by several examples demonstrating good agreement with numerical calculations. The method is shown to provide accurate approximate solutions to complex nonlinear problems. In some cases, the method allows for the reconstruction of exact solutions on the basis of rather short perturbative series.
title Self-similar renormalization for nonlinear problems
topic Mathematical Physics
url https://arxiv.org/abs/2505.12119