2020
DOI: 10.1007/s00032-020-00320-9
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An Optimal Bound for Nonlinear Eigenvalues and Torsional Rigidity on Domains with Holes

Abstract: In this paper we prove an optimal upper bound for the first eigenvalue of a Robin-Neumann boundary value problem for the p-Laplacian operator in domains with convex holes. An analogous estimate is obtained for the corresponding torsional rigidity problem.

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Cited by 10 publications
(5 citation statements)
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“…Specifically, different boundary conditions can be imposed on the outer and inner boundary and hence several optimization problems can be studied (e.g. Robin-Neumann [18], Neumann-Robin [7], Dirichlet-Neumann [2,3], Steklov-Dirichlet [11,14,17], Steklov-Robin [12]). At the mean time, the optimal placement of an obstacle has been studied, so as to maximize or minimize a prescribed functional (e.g.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Specifically, different boundary conditions can be imposed on the outer and inner boundary and hence several optimization problems can be studied (e.g. Robin-Neumann [18], Neumann-Robin [7], Dirichlet-Neumann [2,3], Steklov-Dirichlet [11,14,17], Steklov-Robin [12]). At the mean time, the optimal placement of an obstacle has been studied, so as to maximize or minimize a prescribed functional (e.g.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Optimization problems on domains with holes have received considerable interest in recent years, see e.g. [22,27,47,48] and reference therein.…”
Section: The Assumptionsmentioning
confidence: 99%
“…In [1], for n ≥ 3 and Ω as given in (4), Anoop and Ashok observed that the inequality (11) holds for Γ = Γ D when Ω D is a ball in R n . As a consequence, they obtained (9) for the first eigenvalue τ 1,q (Ω) of (P) with q = p in higher dimensions under the assumption that Ω D is a ball; cf. [1, Theorem 1.2].…”
Section: Outer Parallel Setmentioning
confidence: 99%
“…In [9], Della Pietra and Piscitelli established the inequality part in Theorem 1.6 (see [9, Theorem 1.1, Remark 3.1]) using a web function and the co-area formula. Here we use the higher dimensional analogue (see Corollary 3.4) of Sz.…”
Section: Steiner Formula For a Convex Domainmentioning
confidence: 99%