2. The Dirichlet Laplacian
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Multiplicity of optimal Dirichlet eigenvalues
Conjecture 2.1.
[A. Henrot] Let $\Omega_k^*$ be a minimizer of the shape optimization problem $$ \min\{ \lambda_k(\Omega): \Omega\subset \mathbb{R}^n, |\Omega|=V_0\}. $$ Prove that $\lambda_{k-1}(\Omega_k^*)=\lambda_k(\Omega_k^*)$. -
Mahler inequality for the principal Dirichlet eigenvalue
Let $\mathcal{K}^n_\star$ be the class of centrally symmetric bounded convex domains in $\mathbb{R}^n$. For a domain $K\in\mathcal{K}^n_\star$ we define its polar set by $$ K^\circ := \{x\in \mathbb{R}^n\colon x \cdot y \leq 1 \mbox{ for all }y \in K\}. $$ Further, let $\mathsf{GL}_n$ be the family of invertible linear transformation in $\mathbb{R}^n$.Conjecture 2.2.
[E. Harrell] A hypercube in $\mathbb{R}^n$ is an attainer for the maximization problem \[ \sup\left\{ \inf_{T\in\mathsf{GL}_n} \lambda_1(T(K))\lambda_1((T(K))^\circ)\colon K\in\mathcal{K}^n_\star\right\}. \] -
Discrete Faber-Krahn inequality
The classical Faber-Krahn inequality states that among all sets of equal volume the lowest Dirichlet eigenvalue $\lambda_1(\Omega)$ is minimized by the ball. The following longstanding conjecture concerns the corresponding problem about minimization of $\lambda_1(\Omega)$ among polygons.Conjecture 2.3.
[D. Bucur] Among all polygons of a given area and having not more than $N$ edges the lowest Dirichlet eigenvalue $\lambda_1(\Omega)$ is minimized by the regular $N$-gon.
Interesting partial questions and further problems are for instance:- Prove that the regular $N$-gon is a local minimizer.
- Prove that a minimizer must be convex.
- Prove that $\lambda_1(\Omega_N)$ of the regular $N$-gon $\Omega_N$ is decreasing as a function of $N$. This is a necessary condition for the validity of the conjecture (remarked by C. Nitsch).
- Consider the corresponding problem, but for the maximization of the first non-trivial Neumann eigenvalue.
- Consider the corresponding problems but with the perimeter constraint.
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Remark. [Richard Laugesen] For more on shape optimization for triangles, see Chapter 6 (pp. 149-200) of the book "Shape Optimization and Spectral Theory", edited by Antoine Henrot, 2017 (open access).
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van den Berg’s conjecture
Let $\Omega \subset \mathbb{R}^n$ be a convex domain and let $\rho, D$ denote its inradius and diameter, respectively. Let $u$ denote the eigenfunction corresponding to the first eigenvalue of the Dirichlet Laplacian on $\Omega$. According to a theorem due to G. Chiti [MR0652928] there exists a dimensional constant $C$ such that $$ \|u\|_{L^\infty(\Omega)} \leq \frac{C}{\rho^{n/2}}\|u\|_{L^2(\Omega)}. $$ The following conjecture was posed by M. van den Berg [MR1804178]Conjecture 2.4.
[S. Steinerberger] There is a dimensional constant $C$ such that $$ \|u\|_{L^\infty(\Omega)} \leq \frac{C}{\rho^{n/2}}\Bigl(\frac{\rho}{D}\Bigr)^{1/6}\|u\|_{L^2(\Omega)}. $$ -
Concavity of the principal Dirichlet eigenfunction
Let $\Omega\subset \mathbb{R}^n$ be a bouned convex domain and let $u$ be the principal eigenfunction of the Dirichlet Laplacian on $\Omega$. By a classical result of H. Brascamp and E. Lieb $u$ is log-concave [MR0450480]. Moreover, it is known that $u$ is power-concave meaning that $u^\alpha$ is concave in the usual sense for certain powers $\alpha > 0$. The best concavity exponent for a domain $\Omega$ is defined as \[ \alpha(\Omega) :=\sup\{\alpha \ge 0\colon u^\alpha \mbox{ is concave}\}. \] The following conjecture was formulated in [MR1280948] by P. Lindqvist.Conjecture 2.5.
[A. Henrot] The best concavity exponent $\alpha(\Omega)$ is maximized by the ball.
Cite this as: AimPL: Shape optimization with surface interactions, available at http://aimpl.org/shapesurface.