Polar-dual Neumann eigenvalue sum conjecture for convex domains

Let ΩRd\Omega \subset \mathbb{R}^d be a bounded convex domain containing the origin. Write μj\mu_j for its Neumann Laplace eigenvalues, VV for volume, II for the moment of inertia, and Ω\Omega^\circ for the polar dual of Ω\Omega, defined by

Ω={xRd:xy<1 for all yΩ}.\Omega^\circ=\{x\in\mathbb{R}^d:x\cdot y<1\text{ for all }y\in\overline{\Omega}\}.

Polar-dual Neumann eigenvalue sum conjecture. The scale-invariant quantity

(μ2++μn)V2/dΩV1+2/dIΩ\left.(\mu_2+\dots+\mu_n)V^{2/d}\right|_\Omega\left.\frac{V^{1+2/d}}{I}\right|_{\Omega^\circ}

is maximal when Ω\Omega is a ball, for each n2n\geq2. This conjecture proposes the maximizer for the Neumann analogue of a bounded polar-dual eigenvalue expression; the corresponding Dirichlet quantity is bounded above using John’s ellipsoid theorem, but the maximizing statement for general convex domains is presented as an open problem.

Sources & referencesView supporting material

Primary source

Richard Laugesen and Bartlomiej Siudeja, “Sums of Laplace eigenvalues — rotations and tight frames in higher dimensions”, arXiv:1101.0263 (2010).

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