Parallel coordinates in three dimensions and sharp spectral isoperimetric inequalities
Anastasia V. Vikulova

TL;DR
This paper extends the parallel coordinates method to three dimensions and proves a conjecture that the ball maximizes the first Robin eigenvalue among convex domains with equal surface area, with partial results in higher dimensions.
Contribution
It introduces a three-dimensional extension of parallel coordinates and proves a conjecture about Robin eigenvalues for convex domains, with partial higher-dimensional results.
Findings
The ball maximizes the first Robin eigenvalue among convex domains with equal surface area.
Extension of parallel coordinates method to three dimensions.
Partial results for eigenvalue maximization in arbitrary dimensions.
Abstract
In this paper we show how the method of parallel coordinates can be extended to three dimensions. As an application, we prove the conjecture of Antunes, Freitas and Krej\v{c}i\v{r}\'ik \cite{AFK} that "the ball maximises the first Robin eigenvalue with negative boundary parameter among all convex domains of equal surface area" under the weaker restriction that the boundary of the domain is diffeomorphic to the sphere and convex or axiconvex. We also provide partial results in arbitrary dimensions.
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Parallel coordinates in three dimensions and sharp spectral isoperimetric inequalities
Anastasia V. Vikulova
L.D.Landau Institute for Theoretical Physics, pr. Ak Semenova 1a, Chernogolovka, 142432, Russia
Abstract.
In this paper we show how the method of parallel coordinates can be extended to three dimensions. As an application, we prove the conjecture of Antunes, Freitas and Krejčiřík [1] that “the ball maximises the first Robin eigenvalue with negative boundary parameter among all convex domains of equal surface area” under the weaker restriction that the boundary of the domain is diffeomorphic to the sphere and convex or axiconvex. We also provide partial results in arbitrary dimensions.
Keywords. Robin Laplacian, negative boundary parameter, eigenvalue optimisation, parallel coordinates.
Mathematics Subject Classification. 58J50, 35P15.
1. Introduction
The study of extremal eigenvalues of the Laplace operator is an active topic of research among mathematicians who are interested in spectral geometry. The most famous result in this field is certainly the Faber-Krahn inequality stating that the first Dirichlet eigenvalue of any domain is always greater than or equal to the first Dirichlet eigenvalue of the ball of the same volume (see [7] and [11]). Similarly, the ball is an extremal domain for the first non-trivial Neumann eigenvalue, but now the ball is a maximiser (see [16] and [17]). For simply-connected planar domains, Weinstock proved that for the first Steklov eigenvalue the ball is a maximiser with the perimeter constraint [18].
There also exists a Faber-Krahn-type inequality for the first eigenvalue of the Robin Laplacian with positive boundary parameter (see [2] and [5]). On the other hand, Freitas and Krejik established the surprising fact that the ball stops to be the extremal domain under the volume constraint for the Robin Laplacian with sufficiently large negative boundary parameter [9]. On the positive side, they proved the maximality of the disk among planar domains with fixed perimeter for the first eigenvalue of the Robin Laplacian with negative boundary parameter [1]. Similar optimisation results in the exterior of a compact set were established in [13, 12]. The authors of [1] stated the conjecture that the reverse Faber-Krahn-type inequality under the perimeter constraint extends to higher dimensions under the convexity assumption [1, Conj. 4]. The primary motivation of this paper is to deal with this conjecture.
Let be a bounded domain in , , with Lipschitz boundary . Let us consider the Robin eigenvalue problem
[TABLE]
where is an outer unit normal vector and is a real constant. Notice that coincides with the Neumann problem, while formally corresponds to the Dirichlet problem. We are interested in the first eigenvalue of (1), denoted by , which admits the variational characterisation
[TABLE]
We include the Dirichlet situation “” by the convention that then the boundary term in (2) is suppressed and is taken for the test-function space.
We are mainly interested in the regime of negative , in which case is also negative. Indeed, using a constant test function in (2), we have
[TABLE]
where denotes the -dimensional measure of a set . If , we also write .
We recall the following conjecture from [1].
Conjecture 1** ([1, Conj. 4]).**
Let and be a bounded convex domain in with . Then the -ball maximises the first eigenvalue of problem (1) among all domains of equal surface area.
Definition 1**.**
Let us recall that a Euclidean set is called axiconvex if it is rotationally invariant around an axis and its intersection with any plane orthogonal to the symmetry axis is either a disk or empty set (see [6]).
The following theorem establishes Conjecture 1 in three dimensions.
Theorem 1**.**
Let , be a bounded connected convex or axiconvex domain in , be a smooth boundary of the and is diffeomorphic to the sphere. Then we have
[TABLE]
where is the 3-ball and
For higher dimensions, we have the following partial result.
Theorem 2**.**
Let , be a bounded connected domain in , be a smooth boundary of the be a lower bound of the mean curvature of and assume that the following property holds true,
[TABLE]
where is a volume of the unit n-ball, is a volume of .
Then we have
[TABLE]
where is the n-ball and
Remark 1**.**
After writing this paper, we discovered a preprint by Bucur, Ferone, Nitsch and Trombetti [3], where Conjecture 1 is established in all dimensions. In three dimensions, however, our Theorem 1 is still of interest because it proves the conjecture under the weaker assumption that is diffeomorphic to the sphere and convex or axiconvex instead of being merely convex which is assumed in [3]. Also our Theorem 2 covers some non-convex geometries. Moreover, our method of proof differs in some aspects from that of [3] and makes it therefore of independent interest for applications in other isoperimetric problems (see below).
The proof of the Theorems 1 and 2 is based on the method of parallel coordinates as developed for the Dirichlet problem by Payne and Weinberger [14] and modified for the Robin problem by Freitas and Krejčiřík [9]. The restriction to two dimensions in these papers seem to be crucial. In fact, it is explicitly stated in [8] that the proof of the results of [14] “does not seem to have a straightforward extension to higher dimensions” (see [8, p. 8]). In this paper we manage to get this extension to three dimensions. Indeed, the following result is a three-dimensional generalisation of [14, Eq. (2.15)] as well as [9, Thm. 4]. Moreover, we state it for all values of the boundary parameter .
Theorem 3**.**
Let , be a bounded connected domain in , be a smooth boundary of the and is diffeomorphic to the sphere and convex or axiconvex. Then we have
[TABLE]
where is the first eigenvalue of the Laplacian in the spherical shell with radii
[TABLE]
subject to the Neumann boundary condition at the inner boundary of and the Robin boundary condition (1) at the outer boundary.
We also have a similar result in higher dimensions under the hypothesis (3), see Proposition 3.
2. Preliminaries
2.1. Parallel coordinates in any dimension
Let be an -dimensional Riemannian manifold with metric . Let be a domain with smooth boundary in , and let be the distance function from the boundary and Define the normal exponential map by setting
[TABLE]
where is the unit normal vector to that we choose to be oriented inside . Define the cut-radius map by the following property: the geodesic minimises the distance from if and only if .
The cut-radius map is known to be continuous and we clearly have , where is the radius of the largest inscribed ball in , which is called the inner radius of . The set of all points , as runs in , is called the cut-locus of , and is denoted by
It is a closed subset of and it has zero measure. The map , when restricted to the open set , is a diffeomorphism onto .
The pair is called parallel coordinates based at Let be the Riemannian volume form of . Pulling it back by , we can write where is the volume form of for the induced metric. As is smooth, its Jacobian will also be smooth and positive on .
The following inequality for the Jacobian has been given by Heintze and Karcher (see the papers [10] and [15]):
[TABLE]
where denotes , is a lower bound of the Ricci curvature of , is a lower bound of the mean curvature of and
[TABLE]
In our case, where is a domain in and the metric is an Euclidean metric, we have
[TABLE]
Denote . Expressing in parallel coordinates, we obtain
[TABLE]
We say that is the volume of the shell . So we have , and as the integrand admits a uniform upper bound, we see that is uniformly Lipschitz on and we get . By definition, we put and
2.2. An inequality between eigenvalues in balls and spherical shells
Let be an -dimensional ball of radius . By the rotational symmetry and regularity, we have
[TABLE]
We include the Dirichlet situation “” by the convention that then the second term in the numerator is suppressed and the functions are additionally assumed to to satisfy .
Now, let be an -dimensional spherical shell and are the radii of the outer and inner spheres. Let be the first eigenvalue of the Laplacian with Robin boundary condition with on the outer sphere and with Neumann boundary condition on the inner sphere. We have
[TABLE]
As above, we include the Dirichlet situation “” by the convention that then the second term in the numerator is suppressed and the functions are additionally assumed to to satisfy .
The following Propisition is an extension of [1, Prop. 5] to any dimension.
Proposition 1**.**
Let For any we have
[TABLE]
Proof.
By symmetry, is the smallest solution of the problem
[TABLE]
where We obviously have
[TABLE]
So is non-decreasing.
Let be the eigenfunction for this problem and normalises to one in In these conditions and with the integrating by parts, we get
[TABLE]
So we have proved that ∎
3. Proof of Theorems 1 and 3
Let us pick a smooth function and test-function which is Lipschitz in . In our case, the Jacobian is equal to where is the mean curvature and is the Gaussian curvature of . So employing the parallel coordinates together with the co-area formula (see [15]), we obtain
[TABLE]
Now we make the change of variables
[TABLE]
Defining , it follows that
[TABLE]
where and , see (4). So we get
[TABLE]
The following proposition concludes the proof of Theorem 3.
Proposition 2**.**
One has for all .
Proof.
First, using the definition of , we obtain
[TABLE]
For the area we get
[TABLE]
where and is the Euler characteristics of .
For the latter we have provided that is diffeomorphic to the sphere. For the former we use the inequality (see [4, Chapt. 4] and [6])
[TABLE]
Consequently,
[TABLE]
By calculation we obtain
[TABLE]
So it remains to prove that
[TABLE]
Equivalently, transferring everything to the left part,
[TABLE]
But the left-hand side is evidently greater than or equal to zero. It concludes the proof of the propisition. ∎
Combining Theorem 3 with Proposition 1, we get Theorem 1.
4. Proof of the Theorem 2
First of all, let us establish the following extension of Theorem 3 to higher dimensions.
Proposition 3**.**
Let and be a smooth bounded connected domain in with any . Assume (3). Then
[TABLE]
where
[TABLE]
where is the Gamma function.
Proof.
We will prove this proposition as above for . We take a smooth function and a test-function which is Lipschitz in Employing the parallel coordinates together with the co-area formula (see [15]), we obtain
[TABLE]
Now we need to change the variables
[TABLE]
Defining , it follows that
[TABLE]
So the change of the variables gives
[TABLE]
It remains to prove that First, using the definition of , we obtain
[TABLE]
We claim that
[TABLE]
Indeed, this follows from
[TABLE]
and
[TABLE]
where we have used (5). Then we have
[TABLE]
Here the last inequality holds true due to (3). This implies and therefore yields that ∎
For and as in Proposition 3 we have and
Combining Proposition 3 with Proposition 1, we obtain This completes the proof of Theorem 2.
Remark 2**.**
Let us give examples of domains for which the inequality (3) holds.
First, let us look at the ellipsoid of revolution. The ellipsoid may be parameterized as
[TABLE]
Suppose then where The lower bound of the mean curvature is equal to The area of this ellipsoid is equal to So, the inequality is true when
[TABLE]
Obviously, such exist in the interval
Secondly, let us look at the torus. The torus may be parameterized as
[TABLE]
The lower bound of the mean curvature is equal to Suppose Let us where The area of this ellipsoid is equal to So, the inequality is true when
[TABLE]
Obviously, such exist in the interval
Acknowledgment
This work is supported by the Russian Science Foundation under grant 18-11-00316 Geometric methods in non-linear problems of mathematical physics.
The author is indebted to A. V. Penskoi who ispired the interest to spectral geometry for suggesting this problem. The author also is indebted to O. I. Mokhov for fruitful discussions and important remarks. The author is grateful to D. Krejčiřík and V. Lotoreichik for useful discussions and to the Czech Technical University for its hospitality.
Conflict of interest
There is no conflict of interest.
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