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Journal article
Turing Bifurcation in the Swift–Hohenberg Equation on Deterministic and Random Graphs
Journal of nonlinear science, v 34(5), 88
16 Jul 2024
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Abstract
The Swift–Hohenberg equation (SHE) is a partial differential equation that explains how patterns emerge from a spatially homogeneous state. It has been widely used in the theory of pattern formation. Following a recent study by Bramburger and Holzer (SIAM J Math Anal 55(3):2150–2185, 2023), we consider discrete SHE on deterministic and random graphs. The two families of the discrete models share the same continuum limit in the form of a nonlocal SHE on a circle. The analysis of the continuous system, parallel to the analysis of the classical SHE, shows bifurcations of spatially periodic solutions at critical values of the control parameters. However, the proximity of the discrete models to the continuum limit does not guarantee that the same bifurcations take place in the discrete setting in general, because some of the symmetries of the continuous model do not survive discretization. We use the center manifold reduction and normal forms to obtain precise information about the number and stability of solutions bifurcating from the homogeneous state in the discrete models on deterministic and sparse random graphs. Moreover, we present detailed numerical results for the discrete SHE on the nearest-neighbor and small-world graphs.
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Details
- Title
- Turing Bifurcation in the Swift–Hohenberg Equation on Deterministic and Random Graphs
- Creators
- Georgi S. Medvedev (Corresponding Author) - Department of Mathematics, Drexel UniversityDmitry E. Pelinovsky - McMaster University
- Publication Details
- Journal of nonlinear science, v 34(5), 88
- Publisher
- Springer Nature
- Grant note
- NSERC Discovery grant
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mathematics
- Web of Science ID
- WOS:001268923000001
- Scopus ID
- 2-s2.0-85198642113
- Other Identifier
- 991021893568904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Mathematics, Applied
- Mechanics
- Physics, Mathematical