Cahn-Hilliard equations on lattices: dynamic transitions and pattern formations

This article examines the dynamic phase transitions and pattern formations attributed to binary systems modeled by the Cahn-Hilliard equation. In particular, we consider a two-dimensional lattice structure and determine how different choices of the spanning vectors influence the resulting dynamical transitions and pattern formations. As the basic steady-state loses its linear stability, the binary system undergoes a dynamic transition which is shown to be characterized by both the geometry of the domain and the choice of physical parameters of the model. Unlike rectangular domains, we are able to observe the emergence of hexagonally-packed circles, as well as the familiar rolls and square structures. We begin with the decomposition of our function space into a stable and unstable eigenspace before calculating the center manifold that maps the former to the later. In analyzing the resulting reduced equations, we consider the different multiplicities that the critical eigenvalue can have, which is shown to be geometry-dependent. We briefly consider the long-range interaction model and determine that it produces similar results to the original model.

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Publication Details

Journal
Communications in Mathematical Sciences
Published
2026-01-01
DOI
https://doi.org/10.4310/cms.260326185101
Primary Topic
Solidification and crystal growth phenomena
Type
article
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article

Cahn-Hilliard equations on lattices: dynamic transitions and pattern formations

Evan Halloran, Jared Grossman, Shouhong Wang
Communications in Mathematical Sciences
Solidification and crystal growth phenomena
article

Cahn-Hilliard equations on lattices: dynamic transitions and pattern formations

Evan Halloran, Jared Grossman, Shouhong Wang
article en

Abstract

This article examines the dynamic phase transitions and pattern formations attributed to binary systems modeled by the Cahn-Hilliard equation. In particular, we consider a two-dimensional lattice structure and determine how different choices of the spanning vectors influence the resulting dynamical transitions and pattern formations. As the basic steady-state loses its linear stability, the binary system undergoes a dynamic transition which is shown to be characterized by both the geometry of the domain and the choice of physical parameters of the model. Unlike rectangular domains, we are able to observe the emergence of hexagonally-packed circles, as well as the familiar rolls and square structures. We begin with the decomposition of our function space into a stable and unstable eigenspace before calculating the center manifold that maps the former to the later. In analyzing the resulting reduced equations, we consider the different multiplicities that the critical eigenvalue can have, which is shown to be geometry-dependent. We briefly consider the long-range interaction model and determine that it produces similar results to the original model.

Communications in Mathematical SciencesVol. 24(4)
Boston University (US), Indiana University Bloomington (US)
Sustainable cities and communities
Openalex Percentile: Top 9%
Solidification and crystal growth phenomena
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