A deterministic particle approximation for a fourth-order equation

We provide a deterministic particle approximation to a fourth order equation with applications in cell-cell adhesion. In order to do that, first we show that the equation can be asymptotically obtained as a limit from a class of well-posed nonlocal partial differential equations. These latter have the advantage that the particles’ empirical measure naturally satisfies the equation. Afterwards, we obtain stability of the 2-Wasserstein gradient flow of this family of nonlocal equations that we use in order to recover a deterministic particle approximation of the fourth order equation. To our knowledge, in this manuscript we derive the first deterministic particle approximation for a fourth-order partial differential equation. Finally, we give some numerical simulations of the model at the particles level.

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Publication Details

Journal
Nonlinear Analysis
Published
2026-10-28
DOI
https://doi.org/10.1016/j.na.2026.114303
Primary Topic
Geometric Analysis and Curvature Flows
Type
article
Field-Weighted Citation Impact
0.00

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article

A deterministic particle approximation for a fourth-order equation

Nonlinear Analysis
Geometric Analysis and Curvature Flows
article

A deterministic particle approximation for a fourth-order equation

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Abstract

We provide a deterministic particle approximation to a fourth order equation with applications in cell-cell adhesion. In order to do that, first we show that the equation can be asymptotically obtained as a limit from a class of well-posed nonlocal partial differential equations. These latter have the advantage that the particles’ empirical measure naturally satisfies the equation. Afterwards, we obtain stability of the 2-Wasserstein gradient flow of this family of nonlocal equations that we use in order to recover a deterministic particle approximation of the fourth order equation. To our knowledge, in this manuscript we derive the first deterministic particle approximation for a fourth-order partial differential equation. Finally, we give some numerical simulations of the model at the particles level.

Nonlinear AnalysisVol. 276
Université Claude Bernard Lyon 1 (FR), École Centrale de Lyon (FR), Centre National de la Recherche Scientifique (FR), Institut Camille Jordan (FR), Université Jean Monnet (FR), Institut National des Sciences Appliquées de Lyon (FR), Vrije Universiteit Amsterdam (NL), Université Jean Monnet (FR)
University of Oxford, European Commission, Università degli Studi dell'Aquila, Université Claude Bernard Lyon 1, European Research Council
Openalex Percentile: Top 95%
Geometric Analysis and Curvature Flows
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A deterministic particle approximation for a fourth-order equation · Nonlinear Analysis (2026) | TGRS Research Map | TGRS