Noncompact complete Riemannian manifolds with singular continuous spectrum embedded into the essential spectrum of the Laplacian, I. The hyperbolic case
Svetlana Jitomirskaya, Wencai Liu

TL;DR
This paper constructs asymptotically hyperbolic Riemannian manifolds with specific spectral properties, embedding singular continuous spectrum into the Laplacian's essential spectrum, advancing understanding of spectral theory in geometric analysis.
Contribution
It introduces a method to construct manifolds with embedded singular continuous spectrum within the Laplacian's essential spectrum, particularly in the hyperbolic setting.
Findings
Manifolds with embedded singular continuous spectrum are constructed.
The manifolds are asymptotically hyperbolic with sharp curvature bounds.
The spectral properties of the Laplacian on these manifolds are characterized.
Abstract
We construct Riemannian manifolds with singular continuous spectrum embedded in the absolutely continuous spectrum of the Laplacian. Our manifolds are asymptotically hyperbolic with sharp curvature bounds.
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.
Noncompact complete Riemannian manifolds with singular continuous spectrum embedded into the
essential spectrum of the Laplacian, I. The hyperbolic case.
Svetlana Jitomirskaya
Department of Mathematics, University of California, Irvine, CA 92697-3875, USA
and
Wencai Liu
Department of Mathematics, University of California, Irvine, CA 92697-3875, USA
Current address: Department of Mathematics, Texas A&M University, College Station, TX 77843-3368, USA
Abstract.
We construct Riemannian manifolds with singular continuous spectrum embedded in the absolutely continuous spectrum of the Laplacian. Our manifolds are asymptotically hyperbolic with sharp curvature bounds.
1. Introduction and main results
Let be an -dimensional connected noncompact complete Riemannian manifold. The Laplace-Beltrami operator on , is essentially self-adjoint on . We also denote by its unique self-adjoint extension to .
We refer the readers to [9] for a review of results on the spectral theory of Laplacians on non-compact manifolds. Most of the past work has been focused on proofs of the purity of absolutely continuous spectrum, guaranteed by the asymptotic curvature conditions, going back to [26, 6]. Several extensions of purity results have also appeared recently [23, 24, 10, 11]. Lately, some attention has turned to the opposite phenomenon. Kumura [20] constructed manifolds with an eigenvalue embedded in the spectrum of the Laplacian. In [13] we constructed manifolds with arbitrary finite or countable subset of the essential spectrum embedded as eigenvalues. This brings a natural question whether singular continuous spectrum can also be embedded in the essential (absolutely continuous) spectrum of the Laplace-Beltrami operator. The goal of this paper is to construct such manifolds. We prove
Theorem 1.1**.**
For there exist smooth simply connected -dimensional Riemannian manifolds such that
- (1)
, 2. (2)
111It is then automatically embedded in .**
Despite a significant interest in the Schrödinger operators community in the last 30 years and various ubiquity results (initiated by [32]) singular continuous spectrum remains rather mysterious in the spectral theory and has been virtually unseen and unstudied in spectral geometry. In particular, to the best of our knowledge, there have been no previous constructions of Riemannian manifolds with embedded singular continuous spectrum of the Laplacian. The only appearance of the singular continuos spectrum in the context of Laplace-Beltrami operators we are aware of is [33] where Simon proved topological genericity of manifolds with purely singular continuous spectrum in a class of metrics on the infinite cylinder (so not simply connected, and without an explicit construction).
Singular continuous spectral measures are supported on zero measure sets, yet give zero weight to every point, making them particularly difficult to control explicitly. Quite often singular continuous spectrum is proved by ruling out existence of absolutely continuous and point components (or turning the reasoning above on its head as in [32]). Clearly, this is not going to work for singular continuous spectrum embedded into absolutely continuous one, making corresponding questions especially hard.
In this paper we study the asymptotically hyperbolic case: Riemannian manifolds with the radial curvature (sectional curvature with one fixed direction ) approaching as If is constant, it is well known that and the singular spectrum (the union of point and singular continuous spectra) is empty. The essential spectrum is preserved under decaying perturbations and it is natural to expect that no embedded singular spectrum will persist when approaches sufficiently fast, but point and singular continuous spectra can be embedded into the essential (absolutely continuous) spectrum for slower rates of decay of Note that compact perturbations of constant curvature can only lead to eigenvalues below the essential spectrum, so embedding questions are naturally tied to the rate of decay. Sharp decay thresholds have been established for existence of metrics with an embedded eigenvalue [20] (see also [23] for a simple proof of sharpness) and with an embedded arbitrary countable (in particular, dense) set [13] (also for the flat, i.e. case). Here we prove a correspondingly more precise version of Theorem 1.1
Theorem 1.2**.**
Suppose . Let be any function on with . Then there exist smooth simply connected Riemannian manifolds such that
- (1)
, 2. (2)
, 3. (3)
**
Remark 1.3**.**
Modifying our construction, the spectral measure of the Laplacian can have both pure point and singular continuous components on .
We expect that our result is sharp, that is, like in the 1D case discussed below, provides threshold for existence of asymptotically hyperbolic metrics with embedded singular continuous spectrum: for manifolds with the essential spectrum should be purely absolutely continuous. So far it has been established under somewhat more restrictive conditions. Kumura [21] proved absolute continuity of the Laplacian by the limiting absorption principle ( originally from Agmon’s theory [1]) under the condition and assuming convexity of the Hessian of . Donnelly used exhaustion function to investigate the spectral structure of the Laplacian, which can also show the absence of singular continuous spectrum for some manifolds [8, 7].
There is a remarkable similarity between results on curvature thresholds for embedded eigenvalues for the non-compact manifolds in arbitrary dimension and for 1D Schrödinger operators with decaying potentials. This leads to a natural conjecture that the curvature threshold for existence of metrics with embedded singular continuous spectrum is also going to be the same as in the 1D Schrödinger case, where this was a known difficult problem, popularized by B. Simon in the 90s and included in his list of 15 Schrödinger operator problems for the XXI century [34]. Unlike for the manifolds, for Schrödinger operators, existence of some potentials with prescribed spectral behavior is guaranteed by the inverse spectral theory [22, 25], so the issue is potentials with certain decay. Existence of potentials with embedded singular continuous spectrum was proved by Denisov [5] and followed from Killip-Simon’s criterion [14] but in an implicit way. Potentials with power decaying solutions on a set of expected Hausdorff dimension [3, 30] were constructed by Remling [31, 18], but this was insufficient to infer existence of embedded singular continuous component. Decaying potentials with purely singular continuous spectrum were constructed in [28, 17]. An explicit construction of potential that has singular continuous spectrum embedded into absolutely continuous (and a sharp result in terms of decay) was given by Kiselev [16], therefore solving Simon’s problem. He proved that if the potential , then the singular continuous spectrum of is empty, but given any positive function tending to infinity as grows, there exist potentials such that and the operator has a non-empty singular continuous spectrum on [16]. By Weyl theorem and classical results in [2, 29, 4], both the essential spectrum and absolutely continuous spectrum of constructed by Kiselev are .
In this paper, we use Kiselev’s potentials to construct our manifolds. The Riemannian manifolds we construct are rotationally symmetric, and we effectively reduce the problem to a one-dimensional Schrödinger operator, with the main work needed to guarantee the existence of smooth metrics leading to a 1D potential with desired properties. It turns out this is possible to do in the asymptotically hyperbolic case, using Kiselev’s construction almost as a black box. The asymptotically flat case (i.e. ) however turns out to be more difficult, with corresponding problem unsolvable without further assumptions on the potential, thus requiring to significantly modify Kiselev’s construction to guarantee the additional desired structure of the potential. This will be done in [12].
To construct a rotationally symmetric manifold, we fix some as the origin. Using the radial coordinates (from ) we construct Riemannian manifold with the structure of the form
[TABLE]
where is the standard Riemannian metric on the unit sphere, and we need to construct so that the Laplacian has the desired properties. To determine the spectral representation of the Laplacian on a rotationally symmetric manifolds, one can use separation of variables .
Let , , and , be the spherical harmonics. They form a complete orthonormal basis for [36]. Each belongs to a dimensional eigenspace of the spherical Laplacian with corresponding eigenvalue . One may expand as
[TABLE]
A computation gives
[TABLE]
where is defined on , by
[TABLE]
Notice that is a function on only depending on the radius . Thus is decomposed into a direct sum of one-dimensional operators with multiplicity .
We now renormalize the measure to Lebesgue. Let and
[TABLE]
is clearly unitary, making on unitarily equivalent to operator on . Straightforward calculations give
[TABLE]
where
[TABLE]
The proof now almost reduces to showing the existence of a singular continuous component for some , which is a one-dimensional problem. However, in order to make the manifold smooth in the neighborhood of , must vanish at [math] and one must have . This makes and singular at the point , so we need to deal with one-dimensional Schrödinger operator (1) or (2) with singularities at both [math] and .
It is well known that we have
[TABLE]
Our goal therefore is to construct such that the one-dimensional Schrödinger operator given by (2) has non-empty singular continuous spectrum, and the radial curvature (4) eventually satisfies
[TABLE]
Here is the sketch of our construction.
In the neighborhood of ( i.e., ), we use Euclidean metric. Then the Schrödinger operator (2) is limit point at the left singular point . For the Euclidean space, the spectral analysis can proceed by the generalized eigen-expansion, which is well known for the Hankel transformation (Bessel type functions). Our first step is to obtain similar results by the generalized eigen-expansion for where is generated by the Euclidean metrics only for small values of .
For large (neighborhood of ), we will adapt Kiselev’s construction [16], which originally was done for a Schrödinger operator without a singular point at . There are two difficulties here. First, we need to construct such that the 1D potential given by (3) is what one gets from the Kiselev’s construction and the radial curvature given by (4) satisfies (5). It is this step that becomes impossible in the asymptotically flat case without further requirements on the 1D potential. Second, constructed here for large should “match” in the neighborhood of so that we can use the generalized eigen-expansion to complete the spectral analysis.
The rest of the paper is organized as follows: In §2, we set up the spectral analysis of Bessel type potentials. In §3, we give all the remaining technical preparations. In §4, we complete the proof of Theorem 1.2.
2. Spectral analysis of Bessel type potentials
As mentioned in the introduction, for , we define the metric to be Euclidean, that is . Thus, for the potential given by (3) is
[TABLE]
By the fact that , we can choose some so that
[TABLE]
In the followin,g we fix such and let
[TABLE]
so that . Now we only consider the operator on . We omit the dependence on for simplicity.
Thus we have
[TABLE]
and by (6)
[TABLE]
Assume and there is some constant such that
[TABLE]
Since is unitarily equivalent to a component of on a non-compact manifold, it is non-negative and [math] is not an eigenvalue.
Assumption (11) will be easily satisfied by our construction. Actually, we will prove therefore works.
In this section, we will set up a generalized eigenfunction expansion for Schrödinger operator (9). given by (9) is a Bessel differential operator for . has two singular points: and . Since by [27, Theorems X.10], is in the limit point case at [math], and since , by [27, Theorems X.28] is in the limit point case at . So by Weyl’s criterion, is essentially self-adjoint on .
Let us consider the eigen-equation
[TABLE]
with and . Let . (12) becomes
[TABLE]
Let . (13) becomes
[TABLE]
(14) is a standard Bessel equation and it has a solution (see e.g. Chapter 17 in [36]), where
[TABLE]
Thus Bessel differential equation (12) has then a solution
[TABLE]
for . It is easy to see that and since is in the limit point case at [math], it is unique up to a normalization constant.
Now we extend the solution to with still solving (12). For convenience, denote
[TABLE]
We emphasise that
[TABLE]
for . Thus is the unique eigen-solution of (12), such that . Notice that may be not in .
Our main result in this section is
Theorem 2.1**.**
Suppose satisfies (10) and (11). Assume is a non-negative operator and [math] is not an eigenvalue. Then there exists a monotone measurable function on of locally bounded variation on such that the following statements hold,
- I:
for any there exists a unique such that
[TABLE]
Conversely, for any , there exists a unique such that
- II:
for any , we have
[TABLE]
- III:
for any , let . Then we have
[TABLE]
- IV:
Define the unitary operator from to by
[TABLE]
which is called the generalized Fourier transform. Then we have is the multiplication operator on , that is,
[TABLE]
and
[TABLE]
for .
The proof is based on Titchmarsh expansion techniques in [35]. While they are rather standard, full details are needed to prove Theorem 2.1 in its full strength, so we list them here. We go over the classical Weyl theory first. Suppose differential operator on is in the limit point case on both sides [math] and . Thus is essentially self-adjoint. We assume . Let and be the solutions of
[TABLE]
Since both [math] and are limit points, for , there exist unique and so that
[TABLE]
and
[TABLE]
By the Weyl theory [35, Formula 2.18.3], we have
[TABLE]
and
[TABLE]
Let
[TABLE]
All of , are Herglotz functions from to .
Thus we can define monotone functions , , (with locally bounded variation on , see p.58 in [35]) such that
[TABLE]
for . Each is unique up to a constant. Let with . Then (formula 3.5.3 in p.58 of [35])
[TABLE]
Denote by the matrix with coefficients , and let
[TABLE]
The inner product on is given by
[TABLE]
Theorem 2.2**.**
[35, formulas 3.1.8-3.1.11 in Chapter 3]**
The following statements hold,
- I:
for any there exists a unique g=\left(\begin{array}[]{c}g_{1}\\ g_{2}\end{array}\right)\in L^{2}_{\rho} such that
[TABLE]
and
[TABLE]
Denote for simplicity. Conversely, for any g=\left(\begin{array}[]{c}g_{1}\\ g_{2}\end{array}\right)\in L^{2}_{\rho}, there exists a unique such that .
- II:
for any , we have
[TABLE]
- III:
for any , let g=\left(\begin{array}[]{c}g_{1}\\ g_{2}\end{array}\right)=\hat{f}. Then we have
[TABLE]
- IV:
Define the unitary operator from to by
[TABLE]
which is called the generalized Fourier transform. Then we have is the multiplication operator on , that is,
[TABLE]
and
[TABLE]
for .
Theorem 2.3**.**
[35, formula 3.1.12 in Chapter 3]** Suppose . Then
[TABLE]
Moreover, the following statements hold,
- I:
for any there exists a unique such that
[TABLE]
Conversely, for any , there exists a unique such that
- II:
for any , we have
[TABLE]
- III:
for any , let . Then we have
[TABLE]
- IV:
Define the unitary operator from to by
[TABLE]
which is called the generalized Fourier transformation. Then we have is the multiplication operator on , that is,
[TABLE]
and
[TABLE]
for .
We remark that is given by (18) and is given by (25).
Proof of Theorem 2.1.
We will use Theorems 2.2 and 2.3 to prove Theorem 2.1. Applying Theorem 2.3 to operator (12), we obtain and . By the assumption that is non-negative and [math] is not an eigenvalue, is supported on , for .
Recall that , , is the unique solution of (12) in . Thus one has for ,
[TABLE]
Let in (30), using the boundary condition of at and , one has
[TABLE]
and
[TABLE]
for . It implies
[TABLE]
Thus can be extended to except for the zeros of , that is
[TABLE]
for . Moreover,
[TABLE]
for and .
Let
[TABLE]
By (32) and Theorem 2.3, we obtain Theorem 2.1 except for the local boundedness of variation of on . To prove the latter, fix . For any given , is of bounded variation in a neighborhood of if . Suppose . It is easy to see that so that for with some .
[TABLE]
Thus
[TABLE]
By the fact that is of bounded variation on and for , we have that is of bounded variation on . Since there are finitely many zeros of in , this completes the proof.
∎
Lemma 2.4**.**
Under the condition of Theorem 2.1, suppose is an eigenvalue. Then
Proof.
Suppose is an eigenvalue. Then is the corresponding eigenfunction. The Fourier transform of is well defined, and
[TABLE]
It leads to
[TABLE]
By the fact that is an eigenvalue and Theorem 2.1, one has
[TABLE]
where is a constant and is the characteristic function of . It implies
[TABLE]
where . By II of Theorem 2.1, we have
[TABLE]
Now the Lemma follows from (36), (37) and (38). ∎
3. Preparations
In this section, we will use Kiselev’s construction [16] to prove
Theorem 3.1**.**
Fix any , , and positive function such that . Suppose with and for , . Then there exist a potential on satisfying the following statements:
- I.
* for .*
- II.
* and for .*
- III.
.
- IV.
* has singular continuous spectrum on .*
Let be a solution of , , such that
[TABLE]
Recall that (by (15) and (16)) for ,
[TABLE]
Let . For any , let
[TABLE]
Set for . Suppose we construct potentials on . We extend to by solving
[TABLE]
for .
It will be convenient to introduce the modified Prüfer variables and and for . Then it is easy to see that for ,
[TABLE]
Proof of Theorem 3.1.
The proof of Theorem 3.1 closely follows the construction of [16, Theorem 1.1], so we skip the details. We point out several small modifications.
- •
Replace Lemma 2.1 in [16] with Lemma 2.4. Replace the Prüfer variables (2.2) and (2.3) in [16] with (39) and (40).
- •
I and III follow from Theorem 1.1 in [16].
- •
The potential constructed in [16] is not smooth. This issue can be addressed in the following way. In [16], Kiselev constructed the potential piece by piece. We need to smooth the potential for the current piece first and then construct the next piece. II comes from the fact that we smooth the potential around .
∎
Without loss of generality, assume is positive, non-decreasing, and
[TABLE]
In the following is a large positive constant, and is a small positive constant. We will need the following Lemma.
Lemma 3.2** (Comparison theorem).**
Suppose for . Let us consider two differential equations for ,
[TABLE]
and
[TABLE]
where A is a non-negative constant and . Suppose and for all . Then for all possible .
Proof.
Suppose for and . Since for , one has
[TABLE]
[TABLE]
It implies the lemma. ∎
4. Proof of Theorem 1.2
We plan to use rotationally symmetric metric to complete our construction. Our objective is to construct proper so that Riemannian manifold
[TABLE]
satisfies Theorem 1.2. In the neighbourhood of the origin, we will use the Euclidean metric. For . we will construct so that
[TABLE]
will have the desired properties.
Define
[TABLE]
Direct computation yields that for
[TABLE]
Let
[TABLE]
In order to prove Theorem 1.2, we need to show that there exists such that
[TABLE]
and given by (46) satisfies our goal, where is given by Theorem 3.1.
Without loss of generality, we assume .
Proof of Theorem 1.2.
For , let
[TABLE]
For , let
[TABLE]
We extend to so that and . Let be given by (45) for , namely,
[TABLE]
In particular, for ,
[TABLE]
By Theorem 3.1, we obtain a potential . Now we are ready to define our metric. For , let
[TABLE]
For , let so that for ,
[TABLE]
Let us consider the following equation ()
[TABLE]
Since is defined on and on , let solve (52) with initial condition . By choosing sufficiently small and III of Theorem 3.1, there is a unique solution for such that for . Let solve the equation (52) for . We claim (see Lemma 4.1 below) that there exists a unique solution for all such that
[TABLE]
For , define
[TABLE]
By our construction, for ,
[TABLE]
[TABLE]
By Theorem 3.1, has non-empty singular continuous spectrum. By (3) and (54), we have that also has non-empty singular continuous spectrum. By (43), one has
[TABLE]
By Theorem 1.2 in [19], we have
[TABLE]
Thus
[TABLE]
By the fact that for
[TABLE]
[TABLE]
Thus
[TABLE]
which completes the proof.
∎
Lemma 4.1**.**
Suppose for , and for , . Suppose for . Let solve the following equation ()
[TABLE]
for . Then there exists a unique solution for all such that
[TABLE]
and
[TABLE]
Proof.
Let . Let
[TABLE]
and . Then for , satisfies equation
[TABLE]
where . By the assumption, one has
[TABLE]
By a simple computation, one has for large ,
[TABLE]
By (59), one has
[TABLE]
Now we will use Lemma 3.2 to get the lower bound of . Let
[TABLE]
Let for . Direct computation yields that
[TABLE]
where
[TABLE]
where the first inequality holds by (61).
By (60) and choosing large , one has for . By Lemma 3.2 and (59), one has
[TABLE]
By (62) and (64), we obtain that
[TABLE]
It implies (56). (60) follows from (55) and (56). ∎
Acknowledgments
This research was supported by NSF DMS-1401204, DMS-1901462, and DMS-1700314.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] S. Agmon. Spectral properties of Schrödinger operators and scattering theory. Annali della Scuola Normale Superiore di Pisa-Classe di Scienze , 2(2):151–218, 1975.
- 2[2] M. Christ and A. Kiselev. Absolutely continuous spectrum for one-dimensional Schrödinger operators with slowly decaying potentials: some optimal results. J. Amer. Math. Soc. , 11(4):771–797, 1998.
- 3[3] M. Christ and A. Kiselev. WKB and spectral analysis of one-dimensional Schrödinger operators with slowly varying potentials. Comm. Math. Phys. , 218(2):245–262, 2001.
- 4[4] P. Deift and R. Killip. On the absolutely continuous spectrum of one-dimensional Schrödinger operators with square summable potentials. Comm. Math. Phys. , 203(2):341–347, 1999.
- 5[5] S. A. Denisov. On the coexistence of absolutely continuous and singular continuous components of the spectral measure for some Sturm-Liouville operators with square summable potential. J. Differential Equations , 191(1):90–104, 2003.
- 6[6] H. Donnelly. Negative curvature and embedded eigenvalues. Math. Z. , 203(2):301–308, 1990.
- 7[7] H. Donnelly. Exhaustion functions and the spectrum of Riemannian manifolds. Indiana Univ. Math. J. , 46(2):505–527, 1997.
- 8[8] H. Donnelly. Spectrum of the Laplacian on asymptotically Euclidean spaces. Michigan Math. J. , 46(1):101–111, 1999.
