Optimal Shape Design for the p-Laplacian Eigenvalue Problem

Seyyed Abbas Mohammadi (Lead / Corresponding author), Farid Bozorgnia, Heinrich Voss

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

In this paper, a shape optimization problem corresponding to the p-Laplacian operator is studied. Given a density function in a rearrangement class generated by a step function, find the density such that the principal eigenvalue is as small as possible. Considering a membrane of known fixed mass and with fixed boundary of prescribed shape consisting of two different materials, our results determine the way to distribute these materials such that the basic frequency of the membrane is minimal. We obtain some qualitative aspects of the optimizer and then we determine nearly optimal sets which are approximations of the minimizer for specific ranges of parameters values. A numerical algorithm is proposed to derive the optimal shape and it is proved that the numerical procedure converges to a local minimizer. Numerical illustrations are provided for different domains to show the efficiency and practical suitability of our approach.
Original languageEnglish
Pages (from-to)1231–1249
Number of pages19
JournalJournal of Scientific Computing
Volume78
Issue number2
Early online date18 Aug 2018
DOIs
Publication statusPublished - 15 Feb 2019

Keywords

  • Eigenvalue optimization
  • p-Laplacian
  • Rearrangement algorithm

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