ON THE CONVERGENCE OF NEWTON’S METHOD COMBINED WITH A PROXIMAL APPROACH FOR AN EIGENVALUE PROBLEM - A CORRECTED VERSION
Keywords:
eigenvalue model, partial differential equation, numerical method, Banach fixed point theorem, finite differences approachDOI:
https://doi.org/10.17654/0975045225018Abstract
This article develops a numerical method for solving a large class of eigenvalue problems for partial differential equations.
The main result is proved through an application of the Banach fixed point theorem.
Further, we present a numerical example and respective software for a Ginzburg-Landau type equation.
Received: July 1, 2025
Accepted: August 12, 2025
References
[1] F. Botelho, Functional Analysis and Applied Optimization in Banach Spaces, Springer, Switzerland, 2014.
[2] F. S. Botelho, Duality principles and numerical procedures for a large class of non-convex models in the calculus of variations, Preprints 2023, 2023020051. https://doi.org/10.20944/preprints202302.0051.v95.
[3] F. S. Botelho, Duality principles and numerical procedures for a large class of non-convex models in the calculus of variations, Preprint, Preprints.org, 2025. DOI:10.20944/preprints202302.0051.v97.
[4] J. F. Annet, Superconductivity, superfluids and condensates, 2nd ed., Oxford Master Series in Condensed Matter Physics, Oxford University Press, Reprint, 2010.
[5] L. D. Landau and E. M. Lifschits, Course of theoretical physics, Vol. 5, Statistical Physics, Part 1, Butterworth-Heinemann, Elsevier, Reprint 2008.
[6] R. A. Adams and J. F. Fournier, Sobolev Spaces, 2nd ed., Elsevier, New York, 2003.
[7] J. C. Strikwerda, Finite Difference Schemes and Partial Differential Equations, 2nd ed., SIAM, Philadelphia, 2004.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 PUSHPA PUBLISHING HOUSE, PRAYAGRAJ, INDIA

This work is licensed under a Creative Commons Attribution 4.0 International License.
Attribution: Credit Pushpa Publishing House as the original publisher, including title and author(s) if applicable.
Non-Commercial Use: For non-commercial purposes only. No commercial activities without explicit permission.
No Derivatives: Modifying or creating derivative works not allowed without written permission.
Contact Pushpa Publishing House for more info or permissions.



Google h-index:
Downloads: