The second Robin eigenvalue in non-compact rank-1 symmetric spaces
Abstract.
In this paper, we prove a quantitative spectral inequality for the second Robin eigenvalue in non-compact rank-1 symmetric spaces. In particular, this shows that for bounded domains in non-compact rank-1 symmetric spaces, the geodesic ball maximises the second Robin eigenvalue among domains of the same volume, with negative Robin parameter in the regime connecting the first nontrivial Neumann and Steklov eigenvalues. This result generalises the work of Freitas and Laugesen in the Euclidean setting [16] as well as our previous work in the hyperbolic space [19].
Key words and phrases:
Second Robin Eigenvalue, Eigenvalue Comparison, Rank-1 Symmetric Space2010 Mathematics Subject Classification:
35P15, 49R05, 58C40, 58J501. Introduction
The Robin eigenvalue problem is to solve
(1.1) |
where is a bounded domain with Lipschitz boundary, denotes the Laplace-Beltrami operator, denotes the outward unit normal to , and is the Robin parameter. The eigenvalues, denoted by for , are increasing and continuous in , and for each satisfy
where each eigenvalue is repeated according to its multiplicity. The first eigenvalue is simple if is connected; the first eigenfunction is positive. The Robin eigenvalue problem generates a global picture of the spectrum of the Laplace operator. Indeed, the Neumann , the Steklov ( and equals the Steklov eigenvalue) and the Dirichlet ( eigenvalue problems are all special cases of the Robin eigenvalue problem. Hence, existing results on the Dirichlet, Neumann or Steklov eigenvalues naturally motivate the investigation on the Robin eigenvalues.
In Euclidean space, the classical Faber-Krahn inequality asserts that the ball uniquely minimizes the first Dirichlet eigenvalue among bounded domains with the same volume. When , the ball is also the unique minimizer of the first Robin eigenvalue among domains of the same volume in , as was shown in dimension two by Bossel [5] in 1986 and extended to all dimensions by Daners [12] in 2006. An alternative approach via the calculus of variations was found by Bucur and Giacomini [9, 10] later. For negative values of , it was conjectured by Bareket [3] in 1977 that the ball would be the maximizer among domains in with the same volume. However, in 2015, Freitas and Krejčiřik [14] disproved Bareket’s conjecture by showing that the ball is not a maximizer for sufficiently negative values of . In the same paper, the authors showed that in dimension two, the disk uniquely maximizes for with sufficiently small, and conjectured that the maximizer still has radial symmetry whenever and should switch from a ball to a shell at some critical value of .
Let us turn to the shape optimization problem for the second Robin eigenvalue . Suppose for the moment that . When , both the second Dirichlet eigenvalue and the second Robin eigenvalue are uniquely minimized by the disjoint union of two equal balls among bounded Lipschitz domains of the same volume. This was proved by Kennedy [18]. When , we have , the first nonzero Neumann eigenvalue, for which the classical Szegö-Weinberger inequality [20, 21] states that among domains with the same volume, the ball uniquely maximizes , see [7] for stability version as well. When , it is expected, cf. [17, Problem 4.41], that should be maximal on the ball for a range of Robin parameters. This expectation has recently been confirmed by Freitas and Laugesen via Szegö way [15] and Weineberger way [16] respectively. Precisely the following theorem holds true.
Theorem 1.1 (Theorem A of [16]).
Let be a bounded Lipschitz domain, and be a round ball of the same volume as . If , then
(1.2) |
where is the radius of . Equality holds if and only if is a round ball.
Inequality (1.2) asserts that the ball uniquely maximizes among domains of the same volume provided that lies in a regime connecting the first nonzero Neumann eigenvalue and the first nonzero Steklov eigenvalue , namely . Taking and recovers the Szegö-Weinberger inequality [22] for and the Brock-Weinstock inequality [8] for respectively, and both classical inequalities assert that the ball is the unique maximizer among domains with the same volume in Euclidean space. We mention that the stability version of the Brock-Weinstock inequality has been proved in [6].
It is known that the Szegö-Weinberger inequality holds for domains in the hemisphere, in the hyperbolic space [2] and in rank-1 symmetric spaces (ROSS) [1], asserting that the geodesic ball maximises the first nonzero Neumann eigenvalues among domains of the same volume. Binoy and Santhanam proved [4] the Brock-Weinstock inequality in hyperbolic space and non-compact ROSS, and Castillon and Ruffini proved [11] a stability version of the Brock-Weinstock inequality in non-compact ROSS and that the Brock-Weinstock inequality does not hold on sphere in general. Recently, in their work [19], the authors have extended the result of Freitas and Laugesen [16] to bounded domains in real hyperbolic spaces, and proved that in complete simply connected nonpositively curved space forms, geodesic balls uniquely maximize the second Robin eigenvalue among domains with the same volume, with negative Robin parameter in the regime connecting the first nontrivial Neumann and Steklov eigenvalues.
In this paper, we continue our study of the optimization problem for the second Robin eigenvalue for some negative Robin parameter [19], and prove the following quantitative Freitas-Laugesen inequality in non-compact ROSS.
Theorem 1.2.
Let be a non-compact ROSS of real dimension (cf. Section 2). For any , there exists a constant such that for any domain with , any geodesic ball with , and any , we have
(1.3) |
where is the Fraenkel asymmetry of defined by
Equality holds if and only if is a geodesic ball.
By taking , Theorem 1.2 yields that geodesic balls uniquely maximize the first nonzero Neumann eigenvalue among domains of the same volume in noncomapct ROSS, recovering Theorem 2 of [1] proved by Aithal and Santhanam. By taking , Theorem 1.2 implies that geodesic balls uniquely maximize the first nonzero Steklov eigenvalue among domains of the same volume in noncomapct ROSS, which recovers the result of Binoy and Santhanam in [4], and the result of Castillon and Ruffini in [11]. Noticing from [11] that the Brock-Weinstock inequality does not hold on sphere in general, so we mention here that Theorem 1.2 does not hold in compact space forms or compact ROSS.
This paper is organized as follows. In Section 2, we collect some known facts on non-comapct ROSS. In Section 3, we prove some properties of second Robin eigenvalues and eigenfuctions for geodesic balls in noncomapct ROSS. In Section 4, we prove a monotonicity lemma, which is useful in the proof of Theorem 1.2. Section 5 is devoted to the proof of Theorem 1.2.
Acknowledgements
X. Li is partially supported by a start-up grant at Wichita State University; K. Wang is partially supported by NSFC No.11601359; H. Wu is partially supported by ARC Grant DE180101348.
2. Geometry of non-compact rank-1 symmetric spaces
Let denote one of the following: the field of real numbers, the field of complex numbers, and the algebra of quaternions or or the algebra of octonions. Let , a non-compact ROSS of dimension , where . It is known that carries orthogonal complex structures , and for any unit vector with orthogonal to we have
(2.1) |
where and is the Riemannian curvature operator.
Now we collect some known facts about geodesic polar coordinates, see for example [1, Sect. 3]. In geodesic polar coordinates centered at a point , the Riemannian density function is given by
where is the distance function to . The Laplace operator is given by
where
the mean curvature of the distance sphere , and denotes the Laplacian of . Moreover, the first non-zero eigenvalue of is
(2.2) |
and the associated eigenfunctions are the linear coordinate functions restricted to , denoted by (), satisfying
(2.3) |
see Lemma 4.11 of [11] for details.
3. Robin eigenvalues for geodesic balls
The theory of self-adjoint operators yields variational characterizations of Laplacian eigenvalues. In particular, the first two Robin eigenvalues are characterized by
(3.1) |
and
(3.2) |
where is the first eigenfunction associated with , and the first nonzero Steklov eigenvalue is characterized variationally by
(3.3) |
where is the Riemnnian measure induced by the metric and is the induced measure on .
Let be a non-compact ROSS and be a geodesic ball of radius , and we consider the following Robin eigenvalue problem
(3.4) |
Since is simple and is rotational symmetric, then the first eigenfunction is radial, hence is the first eigenvalue of
(3.5) |
with and . By using the separation of variables technique, we see that the second eigenvalue of Problem (3.4) is either the second eigenvalue of (3.5) or the first eigenvalue of
(3.6) |
with and , where is given by (2.2). Moreover it’s easily seen that the first eigenvalue of (3.6) is characterized variationally by
(3.7) |
and the associated eigenfunction can be so chosen that for and .
We prove the following properties of the second eigenvalue and eigenfunctions of (3.4) for negative Robin parameter.
Proposition 3.1.
Suppose , then the second Robin eigenfunctions of (3.4) are given by
where ’s are the linear coordinate functions restricted to , and solves
(3.8) |
with boundary condition and .
Proof.
Let and be the first nonzero eigenvalue of (3.6) and the second eigenvalue of (3.5) respectively. Then it suffices to show Let and be eigenfunctions associated to and resp., and set
then we deduce from (3.6) that
(3.9) |
for , particularly
where in the inequality we used the assumption . Since in , then is negative in .
Using (3.5) and (3.9), we calculate
(3.10) |
Recall that is an eigenfuction corresponding to the second eigenvalue of (3.5), it must change sign in . Without loss of generality, we assume is positive in for some and . Integrating (3.10) over yields
(3.11) |
Since , and in , and , we then get from (3.11) that proving the proposition.
Proposition 3.2.
Let be the first nonzero Steklov eigenvalue on . Suppose Robin parameter . Then
- (1)
-
(2)
the second Robin eigenvalue
Proof.
Recall from (2.1) and (2.2) that and
where is the boundary of the round ball of radius in , then Escobar’s comparison [13, Theorem 2] gives
(3.13) |
Proof of (1). Let . Using equation (3.8), we deduce that
Recall
increasing in , then we have that has at most one zero in and is positive near . Since and , then for , hence .
Now we turn to prove
(3.14) |
Set , then , for and . Using and rewriting equation (3.8) as an ODE for yields
(3.15) |
Suppose (3.14) is not true, then there exists such that
On one hand, by differentiating (3.15) in , we have that at
(3.16) |
On the other hand, via direct calculations, we have
where in the last inequality we used assumption and inequality (3.13). In particular, we have
Proof of (2). Since
the functions () are test functions for . Where ’s are the linear coordinate functions restricted to . Therefore, by (3.3) we get
Recall that
so
4. A monotonicity lemma
Relabelling the solution to (3.8) as , we define (with a slight abuse of notation) the function by
(4.1) |
By definition, is continuously differentiable and non-decreasing on . The following monotonicity lemma plays a key role in the proof of Theorem 1.2.
Lemma 4.1.
Assume that . Define by
(4.2) |
where is defined in (4.1). Then is monotonically decreasing on , and
(4.3) |
for .
Proof.
Case 1. . Differentiating in yields
Using the ODE (3.8) of , we have
Since
then we have
(4.4) |
Using (3.8) again, we estimate
(4.5) |
Combing (4.4) and (4) together, we get
where in the last inequality we used on and . Therefore, is monotonically decreasing on .
Case 2. . Recall from (4.1) that , so we have
Differentiating in yields
Since
then
proving (4.3), and is monotonically decreasing on .
5. Proof of Theorem 1.2
In this section, we shall prove Theorem 1.2. Before doing this, we first recall the following centre of mass lemma, which will be used later.
Lemma 5.1.
There exists a point in the closed geodesic convex hull of , such that
(5.1) |
where is defined in (4.1), , is the inverse of the exponential map , and is a first positive eigenfunction for .
Proof.
This lemma can be proved by Brouwer’s fixed point theorem (cf. [21, Page 635]). Here we give a more direct proof by following arguments in [16, Prop. 3] and [17, Sect. 7.4.3]. Let
Since is monotone increasing on and is positive on , then attains its minimum at in the convex hull of , hence
proving the lemma.
Now we turn to prove Theorem 1.2.
Proof of Theorem 1.2.
From here on, we fix the point according to Lemma 5.1 so that (5.1) holds. Let denote the polar coordinates centered at and denote the distance sphere with respect to . Then we have
where ’s are the restrictions of the linear coordinate functions on .
For , we define
and rewrite (5.1) as
So ’s are test functions for and we conclude
(5.2) |
Using (2.3) and , we compute that
(5.3) |
and
(5.4) |
and
(5.5) |
Using and , we estimate
(5.6) |
where is the outward unit normal to . So substituting (5),(5.4) and (5.5) into (5.2) yields
where we used (5) and the fact . That is
(5.7) |
Let be the geodesic ball of radius , having the same volume as ’s and centered at so that (5.1) holds. Recall that are the eigenfunctions corresponding to , so then
and
Therefore we conclude
(5.8) |
Recall that defined in (4.1) is increasing, we have
(5.9) |
On the other hand, by Lemma 4.1, is monotonically decreasing, so then
(5.10) |
where is the ball of radius centered at satisfying
Using (4.3), we estimate that
(5.11) |
here and thereafter, denotes a constant depending on , and , which may change from line to line. Inequalities (5) and (5) yields
(5.12) |
where we used .
Therefore, Theorem 1.2 is proved.
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