The square minimisation conjecture for Dirac rectangles

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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 m≥0m\geq 0,

λ1(a,a−1)≥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,2−a)≥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.

References

Primary source

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

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