We study partitions of the two-dimensional flat torus of length 1 and width b into k domains, with b a real parameter in (0,1] and k an integer. We look for partitions which minimize the energy, defined as the largest first eigenvalue of the Dirichlet Laplacian on the domains of the partition. We are in particular interested in the way these minimal partitions change when b is varied. We present here an improvement, when k is odd, of the results on transition values of b established by B. Helffer and T. Hoffmann-Ostenhof (2014) and state a conjecture on those transition values. We establish an improved upper bound of the minimal energy by explicitly constructing hexagonal tilings of the torus. These tilings are close to the partitions obtained from a systematic numerical study based on an optimization algorithm adapted from B. Bourdin, D. Bucur, and E. Oudet (2009). These numerical results also support our conjecture concerning the transition values and give better estimates near those transition values.

Spectral Minimal Partitions for a Family of Tori

LENA, CORENTIN
2017-01-01

Abstract

We study partitions of the two-dimensional flat torus of length 1 and width b into k domains, with b a real parameter in (0,1] and k an integer. We look for partitions which minimize the energy, defined as the largest first eigenvalue of the Dirichlet Laplacian on the domains of the partition. We are in particular interested in the way these minimal partitions change when b is varied. We present here an improvement, when k is odd, of the results on transition values of b established by B. Helffer and T. Hoffmann-Ostenhof (2014) and state a conjecture on those transition values. We establish an improved upper bound of the minimal energy by explicitly constructing hexagonal tilings of the torus. These tilings are close to the partitions obtained from a systematic numerical study based on an optimization algorithm adapted from B. Bourdin, D. Bucur, and E. Oudet (2009). These numerical results also support our conjecture concerning the transition values and give better estimates near those transition values.
2017
26
4
381
395
http://www.tandfonline.com/doi/full/10.1080/10586458.2016.1183154
http://arxiv.org/abs/1503.04545
https://hal.archives-ouvertes.fr/hal-01131601v4
Dirichlet-Laplacian eigenvalues; finite difference method; minimal partitions; projected gradient algorithm; shape optimization; Mathematics (all)
Bonnaillie-Noël, Virginie; Léna, Corentin
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1596058
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