Nonattainment and collapsing rectangles for the infimum of the Steklov–Neumann functional

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Let F(Ω)F(\Omega) be the functional introduced in the paper, and consider bounded, convex, open sets Ω⊂R2\Omega\subset\mathbb{R}^2. The associated minimization problem is

inf⁡{F(Ω)∣Ω⊂R2 bounded, convex and open}.\inf\{F(\Omega)\mid \Omega\subset\mathbb{R}^2\ \text{bounded, convex and open}\}.

Nonattainment conjecture. The displayed minimization problem has no solution. In particular, every minimizing sequence Ωϵ\Omega_\epsilon must be of the form of collapsing rectangles.

The claim concerns the structure of minimizing sequences: the paper observes that collapsing rectangles approach the infimum numerically, while no bounded convex open domain is expected to attain it.

References

Primary source

Antoine Henrot and Marco Michetti, “A comparison between Neumann and Steklov eigenvalues”, arXiv:2107.10075 (2022).

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