arXiv · 2505.12119
Self-similar renormalization for nonlinear problems
Abstract
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.
Explore related subjects
Keep this discovery
V. I. Yukalov, E. P. Yukalova. 2025-05-17. Self-similar renormalization for nonlinear problems. https://arxiv.org/abs/2505.12119
Cite the original work for its findings. Save a collection to share your selection of sources.