Optimisation of the lowest Robin eigenvalue in exterior domains of the hyperbolic plane
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| Format: | Preprint |
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2026
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| author | Celentano, Antonio Krejcirik, David Lotoreichik, Vladimir |
| author_facet | Celentano, Antonio Krejcirik, David Lotoreichik, Vladimir |
| contents | We consider the Robin Laplacian in the exterior of a bounded simply-connected Lipschitz domain in the hyperbolic plane. We show that the essential spectrum of this operator is $[\frac14,\infty)$ and that, under convexity assumption on the domain, there exist discrete eigenvalues below $\frac14$ if, and only if, the Robin parameter is below a non-positive critical constant, which depends on the shape of the domain. As the main result, we prove that the lowest Robin eigenvalue for the exterior of a bounded geodesically convex domain $Ω$ in the hyperbolic plane does not exceed such an eigenvalue for the exterior of the geodesic disk, whose geodesic curvature of the boundary is not smaller than the averaged geodesic curvature of the boundary of $Ω$. This result implies as a consequence that under fixed area or fixed perimeter constraints the exterior of the geodesic disk maximises the lowest Robin eigenvalue among exteriors of bounded geodesically convex domains. Moreover, we obtain under the same geometric constraints a reverse inequality between the critical constants. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2601_10280 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Optimisation of the lowest Robin eigenvalue in exterior domains of the hyperbolic plane Celentano, Antonio Krejcirik, David Lotoreichik, Vladimir Analysis of PDEs Optimization and Control Spectral Theory 35P15, 58J50, 52A55 We consider the Robin Laplacian in the exterior of a bounded simply-connected Lipschitz domain in the hyperbolic plane. We show that the essential spectrum of this operator is $[\frac14,\infty)$ and that, under convexity assumption on the domain, there exist discrete eigenvalues below $\frac14$ if, and only if, the Robin parameter is below a non-positive critical constant, which depends on the shape of the domain. As the main result, we prove that the lowest Robin eigenvalue for the exterior of a bounded geodesically convex domain $Ω$ in the hyperbolic plane does not exceed such an eigenvalue for the exterior of the geodesic disk, whose geodesic curvature of the boundary is not smaller than the averaged geodesic curvature of the boundary of $Ω$. This result implies as a consequence that under fixed area or fixed perimeter constraints the exterior of the geodesic disk maximises the lowest Robin eigenvalue among exteriors of bounded geodesically convex domains. Moreover, we obtain under the same geometric constraints a reverse inequality between the critical constants. |
| title | Optimisation of the lowest Robin eigenvalue in exterior domains of the hyperbolic plane |
| topic | Analysis of PDEs Optimization and Control Spectral Theory 35P15, 58J50, 52A55 |
| url | https://arxiv.org/abs/2601.10280 |