Algebraic calming for the 2D Kuramoto-Sivashinsky equations

Abstract We propose an approximate model for the 2D Kuramoto–Sivashinsky equations (KSE) of flame fronts and crystal growth. We prove that this new ‘calmed’ version of the KSE is globally well-posed, and moreover, its solutions converge to solutions of the KSE on the time interval of existence and uniqueness of the KSE at an algebraic rate. In addition, we provide simulations of the calmed KSE, illuminating its dynamics. These simulations also indicate that our analytical predictions of the convergence rates are sharp. We also discuss analogies with the 3D Navier–Stokes equations of fluid dynamics.

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Publication Details

Journal
Nonlinearity
Published
2024-10-14
DOI
https://doi.org/10.1088/1361-6544/ad792e
Citations
5
Primary Topic
Stability and Controllability of Differential Equations
Type
article
Field-Weighted Citation Impact
1.64

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article

Algebraic calming for the 2D Kuramoto-Sivashinsky equations

Adam Larios, Matthew Enlow, Jiahong Wu
5 citations
Nonlinearity
Stability and Controllability of Differential Equations
1.64
article

Algebraic calming for the 2D Kuramoto-Sivashinsky equations

Adam Larios, Matthew Enlow, Jiahong Wu
article en
5 citations

Abstract

Abstract We propose an approximate model for the 2D Kuramoto–Sivashinsky equations (KSE) of flame fronts and crystal growth. We prove that this new ‘calmed’ version of the KSE is globally well-posed, and moreover, its solutions converge to solutions of the KSE on the time interval of existence and uniqueness of the KSE at an algebraic rate. In addition, we provide simulations of the calmed KSE, illuminating its dynamics. These simulations also indicate that our analytical predictions of the convergence rates are sharp. We also discuss analogies with the 3D Navier–Stokes equations of fluid dynamics.

NonlinearityVol. 37(11)
University of Notre Dame (US), University of Nebraska–Lincoln (US)
Directorate for Mathematical and Physical Sciences, Engineering and Physical Sciences Research Council, Division of Mathematical Sciences, Division of Civil, Mechanical and Manufacturing Innovation, Western Ecological Research Center, U.S. Geological Survey
Openalex Percentile: Top 16%
Stability and Controllability of Differential Equations
1.64
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