Shape Optimization for the Principal Eigenvalue of the Pucci Operator in Three Dimensions
Mohan Mallick, Ram Baran Verma

TL;DR
This paper studies how the shape of three-dimensional domains affects the principal eigenvalue of the nonlinear Pucci operator, revealing that symmetric, unsheared, and isotropic shapes minimize this eigenvalue within a specific family.
Contribution
It introduces a new family of three-dimensional domains and proves that the symmetric, unsheared shape uniquely minimizes the principal eigenvalue under volume constraint.
Findings
Symmetric, unsheared domains minimize the eigenvalue.
Anisotropy or shear increases the eigenvalue.
Extends planar symmetry results to three dimensions.
Abstract
We investigate shape optimization for the principal eigenvalue of the Pucci extremal operator \[ \left\{ \begin{aligned} -\mathcal{M}^+_{\lambda,\Lambda}(D^{2}u)&=\mu^{+}_{1}(\Omega)u &&\text{in }\Omega,\\ u &=0 &&\text{on }\partial\Omega, \end{aligned} \right. \] in dimension three. Since is fully nonlinear, in non-divergence form, and non-variational, classical symmetrization and rearrangement methods are not available. We introduce a three-dimensional family of double--pyramidal domains parametrized by an anisotropy factor and an affine shear parameter , under fixed ellipticity ratio . Within this family and under a fixed-volume constraint, we prove that the volume-normalized principal eigenvalue is uniquely…
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Taxonomy
TopicsNonlinear Partial Differential Equations · Topology Optimization in Engineering · Advanced Mathematical Modeling in Engineering
