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Principal Eigenvalue Minimization for an Elliptic Problem with Indefinite Weight and Robin Boundary Conditions

机译:具有不确定权重和Robin边界条件的椭圆问题的主特征值最小化

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This paper focuses on the study of a linear eigenvalue problem with indefinite weight and Robin type boundary conditions. We investigate the minimization of the positive principal eigenvalue under the constraint that the absolute value of the weight is bounded and the total weight is a fixed negative constant. Biologically, this minimization problem is motivated by the question of determining the optimal spatial arrangement of favorable and unfavorable regions for a species to survive. For rectangular domains with Neumann boundary condition, it is known that there exists a threshold value such that if the total weight is below this threshold value then the optimal favorable region is like a section of a disk at one of the four corners; otherwise, the optimal favorable region is a strip attached to the shorter side of the rectangle. Here, we investigate the same problem with mixed Robin-Neumann type boundary conditions and study how this boundary condition affects the optimal spatial arrangement.
机译:本文重点研究具有不确定权重和Robin类型边界条件的线性特征值问题。在权重的绝对值有界且总权重为固定的负常数的约束下,我们研究正主特征值的最小化。从生物学上讲,此最小化问题是由确定物种生存的有利和不利区域的最佳空间排列问题引起的。对于带有Neumann边界条件的矩形域,已知存在一个阈值,使得如果总权重低于此阈值,则最佳有利区域就象在四个角之一处的圆盘截面;否则,最佳的有利区域是一条连接到矩形较短边的条。在这里,我们研究混合Robin-Neumann型边界条件的相同问题,并研究该边界条件如何影响最佳空间布置。

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