Carleman Linearization of Partial Differential Equations
Tamas Vaszary

TL;DR
This paper extends Carleman linearization to partial differential equations with quadratic nonlinearities, demonstrating its application on Burger's and Vlasov equations to facilitate linear analysis of complex PDE systems.
Contribution
The authors generalize Carleman linearization to PDEs with quadratic nonlinearities while preserving the original structure, enabling new analytical approaches.
Findings
Successfully applied to Burger's equation
Extended to Vlasov equation
Maintains original structure of Carleman linearization
Abstract
Carleman linearization is a technique that embeds systems of ordinary differential equations with polynomial nonlinearities into infinite dimensional linear systems in a procedural way. In this paper we generalize the method for systems of partial differential equations with quadratic nonlinearities, while maintaining the original structure of Carleman linearization. Furthermore, we apply our approach to Burger's equation and to the Vlasov equation as examples.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNumerical methods for differential equations
