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Updated: Oct 16, 2025

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Numerical renormalization-group-based approach to secular perturbation theory.

José T Gálvez Ghersi1,2, Leo C Stein2

  • 1Canadian Institute for Theoretical Astrophysics, University of Toronto, 60 St. George Street, Toronto, Ontario M5S 3H8, Canada.

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|October 16, 2021
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Summary

We developed a new dynamical renormalization group (DRG) method using differential geometry. This approach successfully handles numerical solutions, extending perturbation theory to long timescales for complex physical systems.

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Area of Science:

  • * Mathematical Physics
  • * Computational Physics

Background:

  • * Perturbation theory is vital for physical systems lacking exact or tractable numerical solutions.
  • * Naive perturbation theory often fails on long timescales, producing divergent solutions.
  • * Existing dynamical renormalization group (DRG) methods typically require analytic solutions.

Purpose of the Study:

  • * To reformulate the DRG using differential geometry for broader applicability.
  • * To enable the application of DRG to systems with only numerical solutions.
  • * To extend DRG to systems with background parameter flows and higher orders of perturbation theory.

Main Methods:

  • * Reformulation of the dynamical renormalization group (DRG) in the language of differential geometry.
  • * Application of the geometric DRG formulation to numerical solutions of background and perturbation equations.
  • * Extension of DRG to systems with background parameter flows.

Main Results:

  • * A novel DRG formulation applicable to numerical solutions.
  • * Successful application to systems with background parameter flows, enabling higher-order perturbation theory.
  • * Calculation of soliton-like solutions for a damped Korteweg-de Vries equation.

Conclusions:

  • * The differential geometry-based DRG overcomes limitations of traditional methods.
  • * This approach provides accurate solutions on secular timescales where naive perturbation theory fails.
  • * The method offers a powerful extension for analyzing complex physical systems numerically.