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Quantitative Analysis of a Singularly Perturbed Shape Optimization Problem in a Polygon

Chapter
Publication Date:
2020
abstract:
We carry on our study of the connection between two shape optimization problems with spectral cost.
On the one hand, we consider the optimal design problem for the survival threshold of a population living in a heterogenous habitat $Omega$;
this problem arises when searching for the optimal shape and location of a shelter zone in order to prevent extinction of the species. On the other hand, we
deal with the spectral drop problem, which consists in minimizing a mixed Dirichlet-Neumann
eigenvalue in a box $Omega$. In a previous paper we proved that the latter one can be
obtained as a singular perturbation of the former, when the region outside the refuge is
more and more hostile. In this paper we sharpen our analysis in case $Omega$ is a planar polygon,
providing quantitative estimates of the optimal level convergence, as well as of the involved
eigenvalues.
Iris type:
2.1 Contributo in volume (Capitolo o Saggio)
List of contributors:
Mazzoleni, Dario; Pellacci, Benedetta; Verzini, Gianmaria
Authors of the University:
MAZZOLENI DARIO CESARE SEVERO
Handle:
https://iris.unipv.it/handle/11571/1331686
Book title:
2018 MATRIX Annals
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