Polar-dual Neumann eigenvalue sum conjecture for convex domains

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Let Ω⊂Rd\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∘={x∈Rd:x⋅y<1 for all y∈Ω‾}.\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/d∣ΩV1+2/dI∣Ω∘\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 n≥2n\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.

References

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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