Parametric Reduced Order Models for the Generalized Kuramoto--Sivashinsky Equations
Numerical Analysis
2025-02-06 v1 Numerical Analysis
Analysis of PDEs
Abstract
The paper studies parametric Reduced Order Models (ROMs) for the Kuramoto--Sivashinsky (KS) and generalized Kuramoto--Sivashinsky (gKS) equations. We consider several POD and POD-DEIM projection ROMs with various strategies for parameter sampling and snapshot collection. The aim is to identify an approach for constructing a ROM that is efficient across a range of parameters, encompassing several regimes exhibited by the KS and gKS solutions: weakly chaotic, transitional, and quasi-periodic dynamics. We describe such an approach and demonstrate that it is essential to develop ROMs that adequately represent the short-time transient behavior of the gKS model.
Keywords
Cite
@article{arxiv.2502.02718,
title = {Parametric Reduced Order Models for the Generalized Kuramoto--Sivashinsky Equations},
author = {Md Rezwan Bin Mizan and Maxim Olshanskii and Ilya Timofeyev},
journal= {arXiv preprint arXiv:2502.02718},
year = {2025}
}