Convergence and nonconvergence in a nonlocal gradient flow

Abstract We study the asymptotic convergence as of solutions of , a nonlocal differential equation that is formally a gradient flow in a constant‐mass subspace of arising from simplified models of phase transitions. In case the solution takes finitely many values, we provide a new proof of stabilization that uses a Łojasiewicz‐type gradient inequality near a degenerate curve of equilibria. Solutions with infinitely many values in general need not converge to equilibrium, however, which we demonstrate by providing counterexamples for piecewise linear and cubic functions . Curiously, the exponential rate of convergence in the finite‐value case can jump from order to arbitrarily small values upon perturbation of parameters.

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Publication Details

Journal
Journal of the London Mathematical Society
Published
2024-12-11
DOI
https://doi.org/10.1112/jlms.70047
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Convergence and nonconvergence in a nonlocal gradient flow

Robert L. Pego, Sangmin Park
Journal of the London Mathematical Society
Advanced Mathematical Modeling in Engineering
article

Convergence and nonconvergence in a nonlocal gradient flow

Robert L. Pego, Sangmin Park
article en

Abstract

Abstract We study the asymptotic convergence as of solutions of , a nonlocal differential equation that is formally a gradient flow in a constant‐mass subspace of arising from simplified models of phase transitions. In case the solution takes finitely many values, we provide a new proof of stabilization that uses a Łojasiewicz‐type gradient inequality near a degenerate curve of equilibria. Solutions with infinitely many values in general need not converge to equilibrium, however, which we demonstrate by providing counterexamples for piecewise linear and cubic functions . Curiously, the exponential rate of convergence in the finite‐value case can jump from order to arbitrarily small values upon perturbation of parameters.

Journal of the London Mathematical SocietyVol. 111(1)
Carnegie Mellon University (US)
National Science Foundation
Openalex Percentile: Top 73%
Advanced Mathematical Modeling in Engineering
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