### Résumé

The problem of Turing instabilities for a reaction-diffusion system defined on a complex Cartesian product network is considered. To this end we operate in the linear regime and expand the time dependent perturbation on a basis formed by the tensor product of the eigenvectors of the discrete Laplacian operators, associated to each of the individual networks that build the Cartesian product.

The dispersion relation which controls the onset of the instability depends on a set of discrete wavelengths, the eigenvalues of the aforementioned Laplacians. Patterns can develop on the Cartesian network, if they are supported on at least one of its constitutive sub-graphs. Multiplex networks are also obtained under specific prescriptions. In this case, the criteria for the instability reduce to compact explicit formulae. Numerical simulations carried out for the Mimura-Murray reaction kinetics confirm the adequacy of the proposed theory.

The dispersion relation which controls the onset of the instability depends on a set of discrete wavelengths, the eigenvalues of the aforementioned Laplacians. Patterns can develop on the Cartesian network, if they are supported on at least one of its constitutive sub-graphs. Multiplex networks are also obtained under specific prescriptions. In this case, the criteria for the instability reduce to compact explicit formulae. Numerical simulations carried out for the Mimura-Murray reaction kinetics confirm the adequacy of the proposed theory.

langue originale | Anglais |
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Editeur | Namur center for complex systems |

Nombre de pages | 10 |

Volume | 13 |

Edition | 14 |

Etat de la publication | Publié - 1 déc. 2014 |

### Série de publications

Nom | naXys Technical Report Series |
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Editeur | University of Namur |

Numéro | 14 |

Volume | 13 |

### Empreinte digitale

### Contient cette citation

Asllani, M., Busiello, D. M., Carletti, T., Fanelli, D., & Planchon, G. (2014).

*Turing instabilities on Cartesian product networks*. (14 Ed.) (naXys Technical Report Series; Vol 13, Numéro 14). Namur center for complex systems.