Robin spectrum: two disks maximize the third eigenvalue
Alexandre Girouard, Richard S. Laugesen

TL;DR
This paper establishes that among simply-connected planar domains with fixed area, the third Robin Laplacian eigenvalue is maximized by a union of two disks under certain Robin parameter conditions, with equality in degenerate cases.
Contribution
It proves a sharp upper bound for the third Robin eigenvalue using a union of two disks, extending eigenvalue optimization results to Robin boundary conditions.
Findings
The third Robin eigenvalue is maximized by two disks for certain parameters.
Equality occurs when the domain degenerates into two disks.
The result generalizes known bounds for Dirichlet and Neumann cases.
Abstract
The third eigenvalue of the Robin Laplacian on a simply-connected planar domain of given area is bounded above by the third eigenvalue of a disjoint union of two disks, provided the Robin parameter lies in a certain range and is scaled in each case by the length of the boundary. Equality is achieved when the domain degenerates suitably to the two disks.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
\newaliascnt
lemmatheorem \aliascntresetthelemma
\newaliascntpropositiontheorem \aliascntresettheproposition
\newaliascntcorollarytheorem \aliascntresetthecorollary
\newaliascntconjecturetheorem \aliascntresettheconjecture
\newaliascntopenQtheorem \aliascntresettheopenQ
\newaliascntquesttheorem \aliascntresetthequest
\newaliascntquestxconjx \aliascntresetthequestx
\newaliascntdefntheorem \aliascntresetthedefn
\newaliascntexampletheorem \aliascntresettheexample
\newaliascntremtheorem \aliascntresettherem
Robin spectrum: two disks maximize the third eigenvalue
A. Girouard and R. S. Laugesen
Department de Mathématiques et Statistique, Univ. Laval, Quebec, Qc, Canada
Department of Mathematics, University of Illinois, Urbana, IL 61801, U.S.A.
Abstract.
The third eigenvalue of the Robin Laplacian on a simply-connected planar domain of given area is bounded above by the third eigenvalue of a disjoint union of two disks, provided the Robin parameter lies in a certain range and is scaled in each case by the length of the boundary. Equality is achieved when the domain degenerates suitably to the two disks.
Key words and phrases:
Robin, Neumann, Steklov, vibrating membrane, conformal mapping
2010 Mathematics Subject Classification:
Primary 35P15. Secondary 30C70
1. Introduction
What shape of drum-head gives the largest second overtone? The shape optimization problem is to maximize the third eigenvalue of the Laplacian under suitable geometric constraints and boundary conditions.
First we formulate the problem, and then state the sharp upper bound on the eigenvalue. For a bounded domain with Lipschitz boundary, the Robin eigenvalue problem with parameter is to find all numbers for which a nonzero function exists satisfying
[TABLE]
where is the normal derivative of in the outward direction. The eigenvalues form an unbounded sequence
[TABLE]
where each one is repeated according to its multiplicity. The corresponding Rayleigh quotient is
[TABLE]
From the Rayleigh quotient, the spectrum is easily seen to be scale invariant when the eigenvalues are normalized by area and the Robin parameter is scaled by boundary length; that is,
[TABLE]
where length of and area of . Scale invariance means the expression takes the same value for all dilations of .
The normalized first eigenvalue is maximal for a degenerate rectangle whenever . The second eigenvalue is maximal among simply-connected domains for the disk whenever , as shown by Freitas and Laugesen [11, Theorems A,B].
This paper proves an optimal upper bound on the normalized third eigenvalue among simply-connected planar domains. The upper bound is attained in a suitable limit of simply-connected domains degenerating to a disjoint union of two disks.
Theorem 1** (Third Robin eigenvalue is maximal for the double disk).**
Fix . If is a simply-connected bounded Lipschitz domain whose boundary is a Jordan curve then
[TABLE]
Furthermore, equality is attained asymptotically for the domain that approaches a double disk as .
The third eigenvalue of the disjoint union is simply the second eigenvalue of one of the disks, and so the theorem says . This disk eigenvalue can be computed explicitly in terms of Bessel functions, as explained in Section 4.
To rephrase conclusion ((1)) another way, write for the union of two disjoint disks each having half the area of . Then by scale invariance, the inequality is equivalent to
[TABLE]
The Neumann case of the theorem () is a result of Girouard, Nadirashvili and Polterovich [12]. Their result was generalized by Bucur and Henrot [5] to arbitrary domains in higher dimensions.
We do not know whether the range in the theorem can be enlarged. The proof holds unchanged when except the uniqueness and continuous dependence proof for the normalizing point in Section 5 breaks down because the excited Robin state has nonmonotonic radial part when ; hence the trial function orthogonality in Section 5 is not known when . Note the theorem definitely fails in the Dirichlet limit , since the Dirichlet eigenvalues of domains of given area can be made arbitrarily large by taking long, thin domains.
Perimeter scaling on the Robin parameter is essential to Theorem 1. Without it, the double disk is not the maximizer for when , according to numerical work by Antunes, Freitas and Krejčiřík [2, Figure 4].
It is an open problem to extend Theorem 1 to higher dimensions. Indeed, it is already an open problem to extend Freitas and Laugesen’s result on the second eigenvalue . Conformal mappings as used in their paper and this one are not available in higher dimensions, and so a different kind of proof would be be needed.
Theorem 1 implies a sharp upper bound on the second positive Steklov eigenvalue. Write for the Steklov eigenvalues of , which correspond to the eigenvalue problem
[TABLE]
Notice the product is scale invariant.
Corollary \thecorollary (Sharp bound on the second nonzero Steklov eigenvalue).
If is a simply-connected bounded Lipschitz domain whose boundary is a Jordan curve then
[TABLE]
Equality is attained asymptotically for as .
The non-strict inequality was proved directly by Hersch, Payne and Schiffer [15]. They further found for each . Strict inequality was obtained for by Girouard and Polterovich [13], who established asymptotic sharpness as the domain degenerates suitably to a union of disjoint disks.
Might our Theorem 1 for the third Robin eigenvalue extend to the -th Robin eigenvalue being maximal at the union of disjoint disks, for all and appropriate values of ? Any such generalization will not be straightforward, because when the conjecture fails already at by numerical work of Antunes and Freitas [1, Figure 1]. Their computations reveal that the fourth Neumann eigenvalue (the third nonzero one) seems to be maximal not for the union of three disjoint disks but for something close to a 3-fold rotationally symmetric overlapping union of three disks.
What is new in this paper?
The strategy of the present paper is to combine conformal techniques in dimensions from Girouard, Nadirashvili and Polterovich [12], and particularly their parameterized family of hyperbolic caps, with trial function insights from Bucur and Henrot [5]. Both these papers are concerned with maximizing the third Neumann eigenvalue. For the third Robin eigenvalue we must additionally handle a boundary term in the Rayleigh quotient, and so we incorporate the perimeter-scaling ideas of Freitas and Laugesen [11] from their work maximizing the second Robin eigenvalue.
The current paper provides certain simplifications in comparison to [12], even for the original case of Neumann eigenvalues. Rather than finding a 2-dimensional space of real-valued trial functions that satisfy one orthogonality condition and an additional “inertia relation”, as in that paper, here we find a single complex-valued trial function satisfying two orthogonality conditions. Also, the topological argument is simpler than in [12]. We hope these improvements make it easier to generalize the approach to other situations.
Finally, the “pulling apart with a weight” argument in Section 8 by which we prove saturation in the main theorem is different and simpler than earlier approaches in the Neumann and Steklov cases for approaching the disjoint union of disks.
Literature on upper bounds for eigenvalues of the Laplacian
The question of maximizing individual eigenvalues of the Laplacian goes back at least to work of Szegő [27]. He proved that among simply-connected planar domains of prescribed area, the first nonzero Neumann eigenvalue is largest for the disk, and only the disk. Weinberger [28] generalized the result to all domains in all dimensions. Weinstock [29] soon discovered a modification of Szegő’s argument that led to the sharp upper bound on the first nonzero eigenvalue of the Steklov problem, this time under perimeter constraint. The disk is again the unique maximizer. These Neumann and Steklov results were recently extended to the Robin Laplacian by Freitas and Laugesen [10, 11], who showed the ball maximizes the second eigenvalue when lies in a certain range and the volume is fixed.
In the context of surfaces without boundary, similar maximization problems were taken up by Hersch. Given a compact smooth surface equiped with a Riemannian metric , the Laplace–Beltrami operator has discrete unbounded spectrum . Hersch [14] proved that for all Riemannian metrics on the sphere with area equal to , the eigenvalue is less than or equal to , with equality holding when is the standard “round” metric induced from the embedding of the sphere into . On an arbitrary compact orientable surface , Yang and Yau [30] used a conformal branched covering to bound in terms of the genus and area of the surface. Their bound was improved by El Soufi and Ilias [8] to
[TABLE]
When , one recovers the above sharp result of Hersch for the sphere. Inequality ((2)) is also sharp for by work of Nayatani and Shoda [25], who solved a conjecture from [16], but the inequality is strict and not sharp for all values of , according to recent work of Karpukhin [18]. The sharp upper bound for metrics on the torus was determined by Nadirashvili [22]. In the non-orientable case, sharp upper bounds for are known for the projective plane [21] and Klein bottle [6, 7], in the latter case proving a conjecture by Jakobson, Nadirashvili and Polterovich [17].
Sharp bounds for higher eigenvalues are significantly more difficult to obtain. Nadirashvili [23] proved for the sphere that , and he conjectured for all . This was proved by him and Sire [24] for , and recently for all by Karpukhin, Nadirashvili, Penskoi and Polterovich [19]. The paper [23], while extremely difficult to understand, has been quite influential. In particular, it led to a sharp upper bound on the third Neumann eigenvalue among simply-connected planar domains of given area, obtained by Girouard, Nadirashvili and Polterovich [12]. Their result was generalized by Bucur and Henrot [5] to arbitrary domains in all dimensions. See also Petrides [26] for upper bounds on on spheres of arbitrary dimensions.
Returning to the Robin problem on euclidean domains, we recommend a survey article by Bucur, Freitas and Kennedy [4], which provides a good overview of Robin spectral problems and results, including upper and lower bounds and asymptotics as . Many more open problems for Robin eigenvalues and their gaps and ratios are stated by Freitas and Laugesen [10, 11] and Laugesen [20].
Plan of the paper
The next two sections gather tools for our constructions: Möbius transformations, hyperbolic caps, and conformal maps between those caps and the disk. Then we recall properties of the Robin eigenfunctions on the disk. Trial functions are constructed in Section 5, where they are shown to be orthogonal to the first two Robin eigenfunctions on . Strict inequality for Theorem 1 is proved in Section 7, and Section 8 shows asymptotic sharpness for the union of two disks. The Steklov result Section 1 is deduced in Section 9.
Notation
The unit disk is , the upper halfplane is , and the upper halfdisk is .
The function spaces and Sobolev of complex valued functions will be used, although for the sake of brevity we will generally omit the from the notation.
A conformal map is a conformal diffeomorphism, holomorphic in both directions.
2. Möbius maps and hyperbolic caps
Our estimation of in Theorem 1 will rely on a variational characterization of the third eigenvalue as the minimum of the Rayleigh quotient taken over all trial functions orthogonal to the first two eigenfunctions:
[TABLE]
where the are -orthonormal real-valued eigenfunctions corresponding to the eigenvalues . Remember the trial function may be complex-valued.
We will construct a -parameter family of complex-valued trial functions, in order to obtain enough degrees of freedom to get a trial function orthogonal to and . Two parameters will come from a family of Möbius transformations of the disk, and two more from a family of hyperbolic caps inside the disk.
Möbius transformations
Given , let
[TABLE]
Notice that when , the function is a Möbius self-map of the disk and its boundary circle, with and , and
[TABLE]
A rotational conjugation or invariance property of these maps is that
[TABLE]
as one sees by writing and evaluating the right side at as . Also, fixes the points since
[TABLE]
When the function is constant on the disk, with for each .
Hyperbolic caps
Let be a geodesic in the Poincaré disk model; that is, either a diameter or the intersection of the disk with a circle that is orthogonal to the boundary . The closure in of each connected component of is called a hyperbolic cap, as shown in Figure 1. The geodesic is contained in both caps. Its endpoints are called and .
We want to parameterize the family of caps. The ordered endpoints provide a parameterization, and so the family is clearly -dimensional. It turns out to be more convenient to parameterize using the “center” and “size” of the cap , as follows.
For each point , let be the half-disk “centered” at :
[TABLE]
where and are regarded in this definition as vectors in . For , define the hyperbolic cap by
[TABLE]
as illustrated in Figure 2. The definition is consistent when , since is the identity map. The caps are related rotationally in a natural way, according to
[TABLE]
which is obvious for (half-disks) and can be checked for using the definition of and the rotational invariance in ((4)). The complementary cap is .
Importantly for our later work, the cap expands to the full disk as and collapses toward the point as .
Define to be reflection across the line through the origin that is perpendicular to , so that
[TABLE]
This reflection conjugates nicely under rotation, with
[TABLE]
and it conjugates the Möbius transformation according to
[TABLE]
Lastly, the hyperbolic reflection associated with is defined by pulling back to the half-disk, reflecting, and then pushing out again:
[TABLE]
Clearly maps to , and vice versa, fixing the geodesic inbetween. The hyperbolic reflection conjugates naturally under rotations, with
[TABLE]
as one can check using the conjugation ((4)) for the Möbius map. Further,
[TABLE]
by substituting ((6)) into the right side of ((7)).
3. Conformal cap maps
The next stage in constructing trial functions is to map each hyperbolic cap conformally to the whole disk. It is more convenient to map in the reverse direction, by describing maps . Our goal is to evaluate the limits of these maps for large and small caps, that is, as .
Proposition \theproposition ().
A family of conformal maps exists for such that as and one has
[TABLE]
Proposition \theproposition ().
A family of conformal maps exists for such that as and , one has
[TABLE]
When , the two propositions yield the same map . Further the maps extend to and
[TABLE]
The proofs appear later in the section.
Computations in the upper halfplane
Some of the needed calculations are more transparent in the halfplane. Define a Möbius transformation that wraps the halfplane onto the disk (Figure 3) by
[TABLE]
so that
[TABLE]
The key fact is that on the disk corresponds to dilation by in the upper halfplane, since a direct calculation shows
[TABLE]
Next, define a conformal map from the unit disk to the doubly-slit plane
[TABLE]
by
[TABLE]
The map satisfies
[TABLE]
Clearly is symmetric in the horizontal axis, with , and maps the upper halfdisk to the upper halfplane .
By rescaling and inverting, we define a map
[TABLE]
from the halfplane to the halfdisk of radius . Note that
[TABLE]
The factor of in the definition of ensures convergence to the identity, in the next lemma.
Lemma \thelemma.
[TABLE]
Proof.
Since and , the power series about the origin yields that
[TABLE]
where the error terms are uniform for belonging to a compact subset of the upper halfplane, since that ensures is bounded. ∎
Convergence of the cap maps
Proof of Section 3.
For each cap with , let
[TABLE]
be the unique conformal map normalized by
[TABLE]
where and are the endpoints of the geodesic arc determining the cap. (This unusual normalization of the endpoints is needed for proving convergence of to the identity map, as the cap expands to fill the whole disk. In effect, the endpoint normalization forces to “push outward” on the boundary near , which counteracts the tendency of the map to “pull inward” as it compresses the disk into a cap.)
The maps satisfy a rotational conjugation that moves the center to the point , namely
[TABLE]
because each side of ((12)) maps conformally to the cap , and the two sides agree at three points on the boundary, as follows. Each side maps to . The right side maps to as desired because
[TABLE]
since is an endpoint for the cap . Similarly each side of ((12)) maps to .
For the locally uniform convergence of to the identity as , it suffices by the conjugation relation ((12)) to prove the result for , that is, to show
[TABLE]
After conjugating with to transform the problem to the upper halfplane, the task further reduces to showing
[TABLE]
Under the Möbius transformation , the cap in the disk transforms to a halfdisk of some radius centered at the origin in the halfplane, with depending in an increasing fashion on . In particular, as (expanding caps).
Recall now the conformal map defined in ((11)) that takes the halfplane to the halfdisk , with and . We claim that
[TABLE]
Indeed, the left side maps conformally to , and maps [math] to [math]. The left side also maps to (and to ), because
[TABLE]
since is an endpoint of the cap . Hence the conformal maps on the two sides of ((14)) agree at three boundary points, and so must agree everywhere.
Thus we have reduced the task in ((13)) to showing that locally uniformly on as , which is exactly the content of Section 3.
The continuity of as a function of , which was asserted in ((9)), follows from ((12)) and ((14)) since depends continuously on . ∎
Proof of Section 3.
For each cap with , define the conformal map
[TABLE]
in terms of the maps defined earlier with “” by letting
[TABLE]
The image of the right side is indeed the cap , because maps onto , which reflects under to , which reflects hyperbolically under to ; or else more prosaically, compute that
[TABLE]
by using formula ((8)) and the definition ((5)) of the caps.
When , the two sides of ((15)) are consistent since and is the identity.
The definition ((15)) implies that , which by Section 3 converges locally uniformly to as and . That proves Section 3.
Finally, continuity of as a function of follows from definition ((15)) and the continuity proved earlier for the case “”. ∎
4. The Robin problem on the unit disk
Our trial functions for the third eigenvalue on will involve conformal transplantation of the second Robin eigenfunction of the unit disk, whose properties we now recall.
In this section, the eigenfunctions satisfy
[TABLE]
We do not rescale the Robin parameter here by the perimeter of the double disk. Thus the range in Theorem 1 corresponds in this section to . Below we treat all , in the hope that Theorem 1 might one day be extended to a larger range of -values.
The next two propositions and figures are taken from [10, Section 5] and [11, Section 5]. While the first Robin eigenfunction is not needed for our work, we present it anyway because it helps one’s understanding to see the Robin groundstate in relation to the more familiar Neumann and Dirichlet cases.
Proposition \theproposition (First Robin eigenfunction of the disk).
The first Robin eigenvalue of the unit disk is simple, and changes sign at according to
[TABLE]
The first eigenfunction is positive and radial, and is radially increasing when , constant when , and radially decreasing when .
Proposition \theproposition (Second Robin eigenfunctions of the disk).
The eigenfunction for can be taken in the form
[TABLE]
The radial part has for , and . When one finds is strictly increasing, with . When , the derivative is positive on some interval and negative on , for some number .
The eigenvalue changes sign at , with
[TABLE]
We will not need this fact, but the third eigenvalue of the disk equals the second eigenvalue, and has eigenfunction .
The second eigenvalue of the disk can be evaluated explicitly when in terms of the Bessel function , with where is the smallest positive solution of
[TABLE]
This fact is derived in [10, Section 5], taking dimension there.
The radial part of the second eigenfunction satisfies the following comparison result for mean values under conformal mapping, which will be central to proving Theorem 1.
Lemma \thelemma (Freitas and Laugesen [11, Section 7]).
Suppose is a conformal map from a simply-connected planar domain that has finite area. If then the radial part of the eigenfunction for satisfies
[TABLE]
Furthermore, if is not a disk then the inequality is strict.
Szegő [27] proved this lemma under the assumption that is increasing, which holds for Theorem 1 since there. Freitas and Laugesen [11, Section 7] extended Szegő’s method to handle , which in their paper was stated as due to a different normalization. Also, their proof assumed to have area , but one may reduce to that case by rescaling .
5. Hersch–Szegő normalization, fold maps, and trial functions
Trial functions on are obtained in this section by precomposing the disk eigenfunction with a “folding map” and with the inverse of the cap map , and with a Möbius transformation performing the Hersch–Szegő method of renormalization. This last step ensures that the trial function is orthogonal to the first eigenfunction on , for each . A topological argument will then be used to gain orthogonality also to the second eigenfunction , for some particular choice of .
Hersch–Szegő normalization
Take to be the space of hyperbolic caps on , parameterized by coordinates . Building on the classical renormalization method of Szegő [27] and Hersch [14], we prove the following:
Lemma \thelemma (Orthogonality).
Suppose is a bounded planar domain and is nonnegative, with . Let be a continuous function with . Let on . Suppose is continuous, and write . For each , define a complex-valued function
[TABLE]
This is continuous, with when . Further, for some ; and if in addition the function is strictly increasing then this vanishing point is unique and depends continuously on the cap .
The lemma and its proof are due essentially to Girouard, Nadirashvili and Polterovich [12, Lemmas 2.2.4, 2.2.5 and 3.1.1]. The assumption that is strictly increasing holds true in their Neumann case and also when , but not when (see Figure 5).
Proof of Section 5.
Step 1 — Existence. Notice is continuous even at the origin, since . And is continuous as a function of , taking values in . In particular, is continuous and bounded on , and so is well defined. Further, an application of dominated convergence shows that is continuous as a function of .
The boundary behavior of is easily determined: when one has for all , and so
[TABLE]
Thus on the unit circle the continuous vector field is nonzero and points radially outward, remembering by assumption. Index theory now implies that vanishes somewhere in the interior of the disk. That is, for some point .
It remains to show this point is unique and depends continuously on . For these, we assume from now on that is strictly increasing.
Step 2 — Uniqueness. Fix and a corresponding point constructed as above. Take , and to simplify notation, let so that is continuous. Define a new vector field
[TABLE]
Notice by the choice of . Meanwhile because is nonnegative and is strictly increasing, for all , by Girouard, Nadirashvili and Polterovich [12, Lemma 3.1.1] and the first paragraph in the proof of [12, Lemma 2.2.4].
To show is the unique point at which can vanish, consider an arbitrary with and decompose the Möbius map as
[TABLE]
where
[TABLE]
Then by above, and so is the only point at which vanishes, proving uniqueness.
Step 3 — Continuous dependence. Suppose . Some subsequence converges to a point , and since for each we conclude by letting and using continuity that . Hence by uniqueness, and so as . Applying this argument to each subsequence of the original now shows that as . That is, depends continuously on . ∎
Recall is the eigenfunction corresponding to . This groundstate does not change sign, and so we may choose .
From now on, fix to be the eigenfunction corresponding to , as defined in ((16)). The Robin parameter is , with . Later when we prove Theorem 1 we restrict to .
Take a conformal map , so that the existence part of the Hersch–Szegő Section 5 yields a with
[TABLE]
where . For the rest of the paper we fix this normalized conformal map
[TABLE]
Fold map
Given a hyperbolic cap , define the “fold map” by
[TABLE]
where is hyperbolic reflection across the cap geodesic . We regard as folding the disk onto the cap across the geodesic . This folding is two-to-one except on the geodesic, where it restricts to the identity. Clearly depends continuously on , in other words, on .
Trial functions and orthogonality
Let
[TABLE]
be the inverse of the conformal cap map defined in Section 3. For each hyperbolic cap and , define the trial function
[TABLE]
by
[TABLE]
as shown schematically in Figure 6. This function is continuous as a function of , is bounded by the maximum value of , is smooth except along the preimage of the geodesic defining , and belongs to by conformal invariance of its Dirichlet energy (see the argument later for ((23))).
Lemma \thelemma (Continuous dependence of trial function).
The function depends continuously on , in other words, on .
Proof.
The Möbius map is continuous as a function of , and the conformal map is continuous. So by definition of the trial function it suffices to show continuity of as a function of , where . Notice the domain of is not fixed, being the cap itself, and so we must proceed carefully.
Suppose and . Write the parameters of as and those of as , so that and . The continuity goal is to show
[TABLE]
where and . Joint continuity of the fold map ensures , which will help in proving ((18)).
Let . After passing to a subsequence we may suppose converges to some . Then by continuity in ((9)). Hence , which proves the limit ((18)) since the same argument applies to any subsequence of the original . ∎
Next we examine the limiting behavior of the trial functions as the caps expand to the full disk or shrink to a point.
Lemma \thelemma (Extension of trial function to large and small caps).
The function with extends to as follows:
[TABLE]
where the convergence is locally uniform (and hence pointwise) on .
Proof.
Part (i): . Recall the definition . If is a compact subset of then whenever is sufficiently close to , in which case the fold map equals the identity on . Hence converges to the identity locally uniformly on . Next, converges locally uniformly to the identity as , by Section 3, and so its inverse map satisfies locally uniformly as . Hence locally uniformly on as and .
Part (ii): . If is a compact subset of then whenever is sufficiently close to , so that on the fold map is the hyperbolic reflection . Observe that
[TABLE]
and locally uniformly on by Section 3. Hence
[TABLE]
locally uniformly, as . Therefore locally uniformly on as . ∎
Joint continuity of the map was shown in the proof of Section 5. Thus for each cap , the Hersch–Szegő Section 5 provides a point for which the trial function is orthogonal to the first eigenfunction , that is,
[TABLE]
If (so that is strictly increasing) then the point is unique and depends continuously on the parameters , by Section 5.
The next proposition shows that by choosing the cap correctly, the trial function can be made orthogonal also to the second eigenfunction on . This construction depends on being non-orthogonal to the second eigenfunction. If those functions are orthogonal, then we will use itself as a trial function when we later prove Theorem 1.
Proposition \theproposition (Orthogonality to 2nd eigenfunction).
If and then a hyperbolic cap exists for which
[TABLE]
Proof.
Let . Define a complex valued function on the cylinder by
[TABLE]
where
[TABLE]
is the trial function associated with the cap and the normalizing point . Observe is continuous by dominated convergence, thanks to the continuous dependence of in Section 5 and continuity of .
Section 5 below implies (again by dominated convergence) that extends continuously to , with
[TABLE]
Thus equals a nonzero constant at that end of the cylinder.
Section 5 also shows that extends continuously to , with
[TABLE]
Thus the map defines a homotopy between the loops
[TABLE]
in the complex plane. The first loop, being a nonzero constant, represents the trivial element of the fundamental group of the punctured plane . The second loop winds twice around the origin, and so represents a nontrivial element of that fundamental group. Therefore the loops cannot be homotopic in the punctured plane, and so the homotopy must pass through the origin at some point, meaning for some . The corresponding cap satisfies . ∎
Lemma \thelemma (Limit of for large and small caps).
If then the trial functions converge locally uniformly (and hence pointwise) on , as follows:
[TABLE]
Proof.
The limiting behavior of as and was determined in Section 5. Taking , we see the task is to show as , so that and hence in Section 5. That will immediately finish the proof when , and when we need only observe also that and the reflection commute,
[TABLE]
because by a short computation using and .
Part (i): as . Suppose is a sequence of -values corresponding to some parameters with . By passing to a subsequence we may suppose converges to some point . With the help of Section 5, boundedness of and dominated convergence, we may take the limit as of the orthogonality condition ((19)) to find
[TABLE]
Since by ((17)), uniqueness in Section 5 (which holds since is strictly increasing when ) implies that . This holds for all sequences , and so as .
Part (ii): as . Suppose is a sequence of -values corresponding to some parameters with and . By passing to a subsequence we may suppose converges to some point . Again taking the limit as of the orthogonality condition ((19)), with the help of Section 5 we find
[TABLE]
Also, the commutativity of and implies
[TABLE]
by ((17)). Uniqueness in Section 5 applied to the map now implies that . This holds for all sequences , and so as . ∎
6. An integral comparison
The final ingredient needed for proving Theorem 1 is an integral comparison on and . Consider a trial function of the form
[TABLE]
Orthogonality is not required in this section, and so can be any cap and is any point in .
Lemma \thelemma.
If , then the radial part of the eigenfunction for satisfies
[TABLE]
This result is similar to Section 4, except here and are related by a two-to-one map, whereas in the earlier lemma the map was one-to-one.
Proof.
Define conformal maps
[TABLE]
by letting on and letting on (see Figure 6). The conformality of is clear, since the fold map is the identity on . The fold is an anticonformal hyperbolic reflection on , but that effect is counteracted by the complex conjugate on in the definition of , and so is conformal.
Applying Section 4 to and on their domains shows that
[TABLE]
At least one of these inequalities is strict by Section 4, since if and were both disks then the domain , which is their union, would be disconnected. Adding the two inequalities now proves Section 6. ∎
7. Proof of inequality in Theorem 1
By scaling the domain we may assume it has area . The goal is to prove
[TABLE]
when .
Case 1. Suppose . Recall is an eigenfunction for , and so it satisfies
[TABLE]
where we used in the boundary term that on .
Take the trial function for to be , which is orthogonal to by ((17)) and orthogonal to by assumption in this Case. The variational characterization ((3)) applied to gives that
[TABLE]
Conformal invariance of the Dirichlet integral says that , and on since maps to . So
[TABLE]
by ((21)). Since has area , Section 4 implies that . This inequality can be substituted into the right side of ((22)) since (remember ). Hence , which gives strict inequality in the theorem.
Case 2. Suppose . Then by Section 5 (which requires ) a hyperbolic cap exists such that the trial function is orthogonal to the eigenfunctions and on , as in ((19)) and ((20)). Hence by the variational characterization ((3)),
[TABLE]
The Dirichlet integral on the right side splits into two parts, corresponding to the cap and the complementary cap, with
[TABLE]
by conformal invariance of the Dirichlet energy. Also, note that when , since the conformal maps take boundaries to boundaries. Hence
[TABLE]
Applying identity ((21)) to the right side of ((24)), we find
[TABLE]
Since has area , Section 6 implies that
[TABLE]
Applying this inequality on the right side of ((25)) gives
[TABLE]
when , where we used that for . Hence
[TABLE]
It remains to handle . In that case and , and so by ((25)). The inequality is strict, as follows. If equality held then equality would hold also in ((24)), and so our trial function would actually be an eigenfunction for , and hence by elliptic regularity would be smooth on . Then would be smooth on , which in view of the fold map must mean that the normal derivative of vanishes along the geodesic . Hence has vanishing normal derivative along part of , which is obviously false. This contradiction completes the proof that the inequality in the theorem is strict when .
8. Saturation in Theorem 1
To prove the inequality ((1)) in Theorem 1 is asymptotically sharp, or saturates, we will show equality holds in the limit for the domains
[TABLE]
that approach the double disk
[TABLE]
as .
The double disk is not technically Lipschitz, due to its two-sided boundary point at the origin, but that obstruction to defining the spectrum can be avoided just by moving the disks farther apart. Let and be the area of and the length of its boundary, respectively, so that
[TABLE]
by Theorem 1.
Since as , saturation in Theorem 1 will follow from proving
[TABLE]
for each and . (We need the case and .)
The idea is to compare the Robin spectrum on with the Robin spectrum on a weighted double disk, by “pulling apart” the values of the trial function and multiplying by weight in the “overlap” region. So construct a linear transformation
[TABLE]
by
[TABLE]
where is arbitrary. Let
[TABLE]
so that and shrinks toward the origin as . Define interior and boundary weights on the double disk by
[TABLE]
In terms of these weights, the Rayleigh quotient of pulls apart to
[TABLE]
where .
Therefore the minimax characterization of the th eigenvalue, with ranging over -dimensional subspaces of and ranging over -dimensional subspaces of , implies that
[TABLE]
where the inequality relies on being a -dimensional subspace of , which is easily checked.
Since and pointwise on and pointwise on , with and for all , we conclude from Appendix A in the Appendix that
[TABLE]
This limit, together with ((28)), proves inequality ((26)).
9. Proof of Section 1
Notice belongs to the Steklov spectrum exactly when [math] belongs to the Robin spectrum for parameter value . Further, since the Robin eigenvalues are increasing with respect to and the Steklov spectrum is discrete, each Robin eigenvalue can equal [math] for at most one value of .
One has that
[TABLE]
by a formula in Section 4. Also,
[TABLE]
Since the Robin eigenvalues vary continuously with , the preceding observations imply there must exist values for which and . It follows that is the second positive Steklov eigenvalue , and so
[TABLE]
which is the desired inequality.
The asymptotic equality statement from Theorem 1 implies that if then the domain satisfies
[TABLE]
Hence whenever is sufficiently close to [math], the number corresponding to the domain satisfies . Since can be chosen arbitrarily close to , we conclude as . That is, as .
Appendix A Robin spectrum — existence and convergence
Existence and convergence results on the Robin spectrum, with weight functions bounded above and below, are needed for proving asymptotic sharpness (saturation) of Theorem 1. We state these results in dimensions, since they apply equally well there. Write for the outward normal derivative of at the boundary.
Proposition \theproposition (Existence of Robin eigenvalues).
Suppose is a bounded Lipschitz open set. If the weight functions and are measurable with
[TABLE]
for some , then there exist functions and numbers
[TABLE]
such that is an orthonormal basis for and is a Robin eigenfunction with eigenvalue , meaning
[TABLE]
in the weak sense with respect to test functions in .
Further, the decomposition holds with convergence in for each , and holds with convergence in for each .
Proof.
The Rayleigh quotient for this problem is
[TABLE]
The denominator of the Rayleigh quotient is comparable to , due to the upper and lower bounds on the weight .
The numerator is coercive on after adding a large multiple of , since
[TABLE]
by Cauchy-with-. Here the constants depend on , and also on through the bound
[TABLE]
that can be found in the proof of the trace theorem [9, §4.3].
The proposition now follows from the discrete spectral theorem for sesquilinear forms [3, Section 6.3]. ∎
If the weight functions converge pointwise then the spectrum should converge too. That is the content of the next proposition. In order to emphasize the dependence on the weights, we write for the eigenvalues constructed in Appendix A.
Proposition \theproposition (Convergence of Robin eigenvalues).
Suppose is a bounded Lipschitz domain, and and are measurable for each with
[TABLE]
for some . If and pointwise as then
[TABLE]
as , for each .
Proof.
Fix , and let . The minimax variational characterization [3, Section 6.1] says
[TABLE]
where ranges over -dimensional subspaces of and
[TABLE]
is the Rayleigh quotient.
The maximum in the variational characterization ((30)) is really taken over a -dimensional sphere of coefficients, because if is a basis for then each nonzero can be written with and , so that by homogeneity of the Rayleigh quotient.
The minimum in ((30)) is attained when equals the subspace spanned by the first eigenfunctions corresponding to weights . That is, .
Choosing in ((30)) gives that . Hence
[TABLE]
where the first inequality holds by dominated convergence, using the boundedness of together with their pointwise convergence to .
For an inequality in the reverse direction, take an arbitrary sequence of -values approaching [math]. The eigenvalues are bounded by ((31)) and so the -normalized eigenfunctions are bounded in by coercivity of the Rayleigh quotient. Thus we may pass to a subsequence such that each eigenfunction converges weakly in to some limiting function . Then in by the compact imbedding of into , and in by using the trace bound ((29)).
The functions are orthonormal in , since the eigenfunctions are orthonormal in :
[TABLE]
by dominated convergence and -convergence, using the uniform bound on the weights. Thus the subspace spanned by is -dimensional. Given an arbitrary we let
[TABLE]
and deduce that weakly in , in and in . Therefore
[TABLE]
from which we conclude . Further, by dominated convergence and -convergence (like in ((32))), and by reasoning similarly.
Combining the last three observations, we find
[TABLE]
Using in the variational characterization with and then applying ((33)) gives that
[TABLE]
where the runs through only the subsequence of -values constructed above. The original sequence of -values was arbitrary, though, and so the last formula holds for all .
Combining the and bounds in ((31)) and ((34)) proves the convergence of the th eigenvalue, as wanted for the proposition. ∎
Acknowledgments
This research was supported by a grant from the Simons Foundation (#429422 to Richard Laugesen). Alexandre Girouard acknowledges support from the Natural Sciences and Engineering Research Council of Canada (NSERC).
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] P. R. S. Antunes and P. Freitas. Numerical optimization of low eigenvalues of the Dirichlet and Neumann Laplacians. J. Optim. Theory Appl. , 154(1):235–257, 2012.
- 2[2] P. R. S. Antunes, P. Freitas, and D. Krejčiřík. Bounds and extremal domains for Robin eigenvalues with negative boundary parameter. Adv. Calc. Var. , 10(4):357–379, 2017.
- 3[3] P. Blanchard and E. Brüning. Variational Methods in Mathematical Physics. A Unified Approach . Texts and Monographs in Physics. Springer–Verlag, Berlin, 1992. Translated from the German by Gillian M. Hayes.
- 4[4] D. Bucur, P. Freitas, and J. Kennedy. The Robin problem. In Shape Optimization and Spectral Theory , pages 78–119. De Gruyter Open, Warsaw, 2017.
- 5[5] D. Bucur and A. Henrot. Maximization of the second non-trivial Neumann eigenvalue. Acta Math. , 222(2):337–361, 2019.
- 6[6] D. Cianci, M. Karpukhin, and V. Medvedev. On branched minimal immersions of surfaces by first eigenfunctions. Ann. Global Anal. Geom. , to appear. ar Xiv:1711.05916.
- 7[7] A. El Soufi, H. Giacomini, and M. Jazar. A unique extremal metric for the least eigenvalue of the Laplacian on the Klein bottle. Duke Math. J. , 135(1):181–202, 2006.
- 8[8] A. El Soufi and S. Ilias. Le volume conforme et ses applications d’après Li et Yau. In Séminaire de Théorie Spectrale et Géométrie, Année 1983–1984 , pages VII.1–VII.15. Univ. Grenoble I, Saint-Martin-d’Hères, 1984.
