4.6 Article

Optimization of the principal eigenvalue for elliptic operators

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00526-021-02011-8

关键词

35J15; 35P05; 47A75; 49K20; 49J20

资金

  1. NSFC [11771097]
  2. NSF [DMS-1812921]

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This study investigates the maximization and minimization problems of the principal eigenvalue for divergence form second order elliptic operators with the Dirichlet boundary condition. The principal eigen map and its basic properties, such as continuity, concavity, and differentiability with respect to the parameter in the diffusibility matrix, are introduced. Optimal solutions are obtained through convexification of the admissible control set for the maximization problem and relaxation under H-convergence for the minimization problem in certain special cases.
Maximization and minimization problems of the principle eigenvalue for divergence form second order elliptic operators with the Dirichlet boundary condition are considered. The principal eigen map of such elliptic operators is introduced and some basic properties of this map, including continuity, concavity, and differentiability with respect to the parameter in the diffusibility matrix, are established. For maximization problem, the admissible control set is convexified to get the existence of an optimal convexified relaxed solution. Whereas, for minimization problem, the relaxation of the problem under H-convergence is introduced to get an optimal H-relaxed solution for certain interesting special cases. Some necessary optimality conditions are presented for both problems and a couple of illustrative examples are presented as well.

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