The square minimisation conjecture for Dirac rectangles

Let Ωa,b\Omega_{a,b} be a rectangle with side lengths a,ba,b, and write

λ1(a,b):=λ1(Ωa,b)\lambda_1(a,b):=\lambda_1(\Omega_{a,b})

for the lowest positive eigenvalue of the Dirac operator with infinite-mass boundary conditions. Square minimisation conjecture. For every m0m\geq 0,

λ1(a,a1)λ1(1,1)for every a>0,\lambda_1(a,a^{-1})\geq\lambda_1(1,1)\qquad\text{for every }a>0,

under the area constraint, and

λ1(a,2a)λ1(1,1)for every a(0,2),\lambda_1(a,2-a)\geq\lambda_1(1,1)\qquad\text{for every }a\in(0,2),

under the perimeter constraint. This is the rectangle version of the disk optimisation conjecture, and the paper presents it as an equally challenging open problem.

Sources & referencesView supporting material

Primary source

Philippe Briet and David Krejcirik, “Spectral optimisation of Dirac rectangles”, arXiv:2103.08881 (2021).

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