Fractal Weyl laws and wave decay for general trapping
Semyon Dyatlov, Jeffrey Galkowski

TL;DR
This paper establishes a Weyl upper bound on scattering resonances for manifolds with Euclidean ends without requiring hyperbolic trapped set assumptions, and demonstrates decay properties for linear waves with random initial data.
Contribution
It introduces a novel approach using propagation up to Ehrenfest time to bound resonances without strong geodesic flow assumptions.
Findings
Weyl upper bound on resonances in manifolds with Euclidean ends.
High-probability decay results for linear waves with random initial data.
Power improvement over trivial bounds for flows with positive escape rate.
Abstract
We prove a Weyl upper bound on the number of scattering resonances in strips for manifolds with Euclidean infinite ends. In contrast with previous results, we do not make any strong structural assumptions on the geodesic flow on the trapped set (such as hyperbolicity) and instead use propagation statements up to the Ehrenfest time. By a similar method we prove a decay statement with high probability for linear waves with random initial data. The latter statement is related heuristically to the Weyl upper bound. For geodesic flows with positive escape rate, we obtain a power improvement over the trivial Weyl bound and exponential decay up to twice the Ehrenfest time.
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Fractal Weyl laws and wave decay
for general trapping
Semyon Dyatlov
Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
and
Jeffrey Galkowski
Department of Mathematics, McGill University, Montréal, QC, Canada
Abstract.
We prove a Weyl upper bound on the number of scattering resonances in strips for manifolds with Euclidean infinite ends. In contrast with previous results, we do not make any strong structural assumptions on the geodesic flow on the trapped set (such as hyperbolicity) and instead use propagation statements up to the Ehrenfest time. By a similar method we prove a decay statement with high probability for linear waves with random initial data. The latter statement is related heuristically to the Weyl upper bound. For geodesic flows with positive escape rate, we obtain a power improvement over the trivial Weyl bound and exponential decay up to twice the Ehrenfest time.
1. Introduction
In this paper, we study asymptotics of scattering resonances and linear waves on a -dimensional noncompact Riemannian manifold with Euclidean infinite ends (see §2.1). Resonances are the spectral data for the Laplacian on non-compact manifolds analogous to eigenvalues in the compact setting. They are defined as poles of the meromorphic continuation of the resolvent (see §3.1)
[TABLE]
Our results involve the structure of the homogeneous geodesic flow
[TABLE]
1.1. Weyl bounds
Our first result is an upper bound on the number of resonances in strips,
[TABLE]
We first state the following simple corollary of the main result:
Theorem 1**.**
For all we have
[TABLE]
Moreover, if the trapped set of has volume zero (see (2.6)), then
[TABLE]
The bound (1.4) has previously been established in various settings by Petkov–Zworski [PZ99, (1.6)], Bony [Bon01], and Sjöstrand–Zworski [SZ07, Theorem 2]. We remark that in general it is difficult to obtain lower bounds on the number of resonances in strips.
To state a more precise bound, we use Liouville volume of the set of trajectories trapped for time
[TABLE]
where is the projection map, is the cosphere bundle, and is a large compact set with smooth boundary, see (2.12). We also use the Ehrenfest time at frequency ,
[TABLE]
Here is the maximal expansion rate and if , we may replace by an arbitrarily small positive number and accordingly take for any fixed constant .
The following is our main Weyl bound, which immediately implies Theorem 1 since is always bounded and when has volume zero. A connection between the function and resonance counting has previously been used heuristically in the literature, see [Zwo99b, (10)]. See also Stefanov [Ste03] for volume-based bounds on the number of resonances polynomially close to the real axis.
Theorem 2**.**
For each , , there exists a constant such that
[TABLE]
The proof of Theorem 2 follows the strategy of [Dya15a]. We first construct an approximate inverse for the complex scaled version of the operator which shows that if is a resonance, then is not invertible, where is a pseudodifferential operator whose symbol is supported in a small neighborhood of the trapped set. By Jensen’s inequality, the number of resonances can be estimated using bounds on the determinant of , which is controlled by the Hilbert–Schmidt norm . The latter norm can be bounded by the right-hand side of (1.8). The operator is defined using the dynamics of the flow for time , and due to Egorov’s theorem up to Ehrenfest time it lies in a mildly exotic pseudodifferential calculus.
The proof of Theorem 2 only relies on propagation of singularities and the semiclassical outgoing property of the resolvent, see §3.1. In particular it applies to a wide variety of situations including semiclassical Schrödinger operators and asymptotically hyperbolic manifolds (where [Vas13, Vas12] replaces complex scaling). It also applies to the setting of Pollicott–Ruelle resonances where upper bounds based on volume estimation have been proved by Faure–Sjöstrand [FS11], Datchev–Dyatlov–Zworski [DDZ14], and Faure–Tsujii [FT17].
The expression (1.8) can be bounded in terms of the classical escape rate
[TABLE]
Theorem 2 implies that (see Figure 1(a))
[TABLE]
where stands for a function which is for each . Note that the change in behavior for happens when is equal to half the classical escape rate, which is the depth at which accumulation of resonances has previously been observed mathematically, numerically, and experimentally – see §1.3.
Under the assumption that the trapped set is hyperbolic, there exist several previous results giving bounds on which are stronger than (1.10), see §1.3. For instance, in the case of -dimensional convex co-compact hyperbolic quotients with limit set of dimension we have [Dya15a, Theorem 1]
[TABLE]
Since in this case and , the bound (1.11) corresponds to (1.10) with replaced by , or equivalently replaced by . The lack of optimality of (1.8) is thus due to the fact that without the hyperbolicity assumption we can only propagate quantum observables up to the Ehrenfest time (rather than twice the Ehrenfest time as in [Dya15a]). Upper bounds on are also available in the case of normally hyperbolic trapping – see §1.3.
On the other hand, little is known on resonance bounds in strips for smooth metrics when is not hyperbolic or normally hyperbolic on the trapped set, and Theorem 2 appears to give the first general upper bound depending on the dynamics of . (For operators with real analytic coefficients, a bound depending on the volume of an sized neighborhood of the trapped set was proved by Sjöstrand [Sjö90, Theorem 4.2].) In particular, if the escape rate is positive then Theorem 2 gives a power improvement over . The most promising potential example of such systems which are not hyperbolic/normally hyperbolic is given by uniformly partially hyperbolic systems, see [CP14] and [You90, Theorem 4].
An example with zero escape rate is given by manifolds of revolution with cylindrical or degenerate hyperbolic trapping, where Theorem 2 gives an improvement which is a power of – see §7. See the work of Christianson [Chr13] for a related question of resolvent bounds on more general manifolds of revolution.
1.2. Wave decay for random initial data
Our next theorem concerns high probability decay estimates for the half-wave group
[TABLE]
It is often not possible to show deterministic exponential decay for the cutoff propagator , , when the trapping is sufficiently strong. However as Theorem 3 below shows, if the classical escape rate is positive then such exponential decay holds for a certain time when the initial data is random. We apply to a function chosen at random using the following procedure. Let be the large smooth compact subset of given by (2.12), be the Dirichlet Laplacian on with respect to the metric , and be an orthonormal basis of with
[TABLE]
Fix small . For consider the subspace of
[TABLE]
By the Weyl law [Hör09, Theorem 29.3.3], has dimension for some . Let
[TABLE]
be chosen at random with respect to the standard measure on the sphere. As before, denote by the trapped set. Then our result is as follows:
Theorem 3**.**
Suppose that and . Fix . Then there exists such that for all ,
[TABLE]
A related result in the setting of the damped wave equation was proved by Burq–Lebeau [BL13, page 6]. To the authors’ knowledge, Theorem 3 has not been previously known even in simple settings such as a single hyperbolic trapped orbit. We expect that a corresponding lower bound can be proved by a similar argument.
In terms of the escape rate from (1.9), Theorem 3 gives the following bound with high probability for each (see Figure 1(b)):
[TABLE]
The bounds (1.10) and (1.14) (and more generally Theorems 2 and 3) are related by the following heuristic. To simplify the formulas below assume that . Take small , then by (1.10) the number of resonances in
[TABLE]
is . Suppose that has a resonance expansion up to (similar to [DZ, Theorem 3.9] but with infinitely many terms in the expansion; such resonance expansions are quite rare which is one of the reasons why the argument below is heuristic). Then we expect for some ,
[TABLE]
Here resonances with and would contribute because the corresponding coresonant states live in a different band of frequencies than .
If we additionally knew that the resonant and coresonant states are bounded in and form approximately orthonormal systems on , then with high probability we would have . Estimating the norm of the sum on the right-hand side of (1.15) and using approximate orthogonality, we then expect that
[TABLE]
For and large enough, the first term on the right-hand side dominates and we recover (1.13) (given that can be chosen small). Note that (1.13) also holds for , but this cannot be seen from the resonance expansion because the error term in this expansion dominates for short times.
We remark that while the above heuristic is useful to relate Theorems 2 and 3, the proof of Theorem 3 does not rely on it. Instead, by a concentration of measure argument we reduce to estimating the Hilbert–Schmidt norm of the cutoff propagator restricted to a range of frequencies. The latter norm is next bounded in terms of the volume . As in the proof of Theorem 2, this strategy can only be used up to time so that the resulting symbols still lie in a mildly exotic calculus.
1.3. Previous results
We now briefly review previous results on Weyl bounds for resonances in strips, referring the reader to the reviews of Nonnenmacher [Non11, §§4,7] and Zworski [Zwo17, §3.4] for more information.
When the trapping is hyperbolic, upper bounds on have been proved in various settings by Sjöstrand [Sjö90], Zworski [Zwo99a], Guillopé–Lin–Zworski [GLZ04], Sjöstrand–Zworski [SZ07], Datchev–Dyatlov [DD13], and Nonnenmacher–Sjöstrand–Zworski [NSZ14]. These bounds take the form
[TABLE]
where is the upper Minkowski dimension of , and can be replaced by if has pure Minkowski dimension. The bound (1.16) is stronger than the one in Theorem 2. Indeed, contains an sized neighborhood of the trapped set , which implies that (assuming that the upper and lower Minkowski dimensions of agree)
[TABLE]
Therefore
[TABLE]
See also the discussion following (1.11).
In the setting of hyperbolic quotients, Naud [Nau14], Jakobson–Naud [JN16], and Dyatlov [Dya15a] have obtained bounds which improve over (1.16) when ; here is the escape rate defined in (1.9). See also the work of Dyatlov–Jin [DJ17] in the case of open quantum maps. Concentration of resonances near the line has been observed numerically (for the semiclassical zeta function in obstacle scattering) by Lu–Sridhar–Zworski [LSZ03] and experimentally (for microwave scattering) by Barkhofen et al. [BWP*+*13].
For -normally hyperbolic trapped sets (such as those appearing in Kerr–de Sitter black holes), Dyatlov [Dya15b] obtained an upper bound of the form (1.16). In this setting is smooth and is an integer. Under a pinching condition, it is shown in [Dya15b, Dya16] that resonances in strips have a band structure and the number of resonances in the first band with grows like .
1.4. Structure of the paper
- •
In §2 we review geometry and dynamics of manifolds with Euclidean ends (§2.1) and semiclassical analysis (§§2.2, 2.3).
- •
In §3 we perform analysis of the scattering resolvent and the wave propagator near the infinite ends of to reduce to a neighborhood of the trapped set.
- •
In §4 we construct dynamical cutoff functions used in the proofs.
- •
- •
- •
In §7, we estimate the quantity for two examples of manifolds of revolution.
Acknowledgements. The authors would like to thank Maciej Zworski, Nicolas Burq, Stéphane Nonnenmacher, and András Vasy for many useful discussions, and the anonymous referees for many useful suggestions to improve the manuscript. This research was conducted during the period SD served as a Clay Research Fellow. JG was partially supported by an NSF Mathematical Science Postdoctoral Research Fellowship DMS-1502661.
2. Preliminaries
2.1. Manifolds with Euclidean ends
Thoughout the paper we assume that is a noncompact complete -dimensional Riemannian manifold which has Euclidean infinite ends in the following sense:
- •
there exists a function such that the sets are compact for all , and
- •
there exists such that is the disjoint union of finitely many components, each of which is isometric to with the Euclidean metric, and the pullback of under the isometry is the Euclidean norm.
The connected components of are called the infinite ends of . We parametrize each of them by a Euclidean coordinate so that . We lift to a function on and parametrize the cotangent bundle of each infinite end by .
As in (1.2), put and . Then on each infinite end, we have
[TABLE]
Define the directly escaping sets in by
[TABLE]
and pull these back by the Euclidean coordinates in the infinite ends of to
[TABLE]
It follows from (2.1) that for ,
[TABLE]
in particular as . Arguing by contradiction, this implies that for all
[TABLE]
Therefore, if a trajectory of starting on enters some infinite end, it escapes to infinity inside this end.
Define the incoming/outgoing tails and the trapped set by
[TABLE]
The next lemma establishes basic properties of and ; see [DZ, §6.1] for a more general setting.
Lemma 2.1**.**
1. The sets are closed in and
[TABLE]
in particular is compact.
2. We have locally uniformly in ,
[TABLE]
3. Let be a neighborhood of and be compact. Then there exists such that
[TABLE]
4. Assume that is compact and . Then there exists such that
[TABLE]
Moreover, the set is closed in .
Proof.
- We first show that is closed in . Assume that and . Then as , thus by (2.5) there exists such that . Since is open, we have for all which are sufficiently close to . By (2.4), we have , showing that does not lie in the closure of . A similar argument shows that , and thus , is closed.
It remains to show (2.7). Assume that and . If , then by (2.4) we have . Similarly if , then .
- We consider the case of ; the case of is handled similarly. Assume (2.8) is false. Then there exists and sequences , such that lie in a compact subset of and . By (2.4) and (2.5), implies that is bounded, specifically
[TABLE]
By passing to a subsequence, we may assume that
[TABLE]
We have ; however, since is closed and invariant under the flow, . Therefore . By (2.5), there exists such that . Then for large enough , . It follows from (2.4) applied to that as ,
[TABLE]
contradicting the fact that varies in a compact set.
- Assume (2.9) is false. Then there exist sequences
[TABLE]
By (2.4), assuming , we have
[TABLE]
Passing to a subsequence, we may assume
[TABLE]
We have , thus or . We assume , the other case being handled similarly. By (2.5), there exists such that . Therefore, for large enough we have . It follows from (2.4) applied to that as ,
[TABLE]
contradicting the fact that .
- We assume , the case being handled similarly. Arguing as in part 1, we see that each has an open neighborhood such that for some and all , we have . By (2.4) applied to ,
[TABLE]
To show (2.10), it remains to cover by finitely many open sets of the form and let be the maximum of the corresponding times .
To show that is closed, take sequences , , and assume that converges to some . Then is bounded, so by (2.10) the sequence is bounded as well. Passing to subsequences, we may assume that , . Then , finishing the proof. ∎
Following (1.6) we define for
[TABLE]
By (2.9), if contains a neighborhood of and is compact, then there exists such that
[TABLE]
thus in particular
[TABLE]
Since Theorems 2 and 3 use quantities of the form where , by slightly changing and using (2.11) we see that these theorems do not depend on the choice of , as long as contains a neighborhood of . We henceforth fix and put
[TABLE]
By (2.4), the set is geodesically convex, therefore
[TABLE]
implying that
[TABLE]
Moreover, if , then we have for each ,
[TABLE]
Indeed, if , then contains an sized neighborhood of for all .
2.2. Semiclassical analysis
We next briefly review the tools from semiclassical analysis used in this paper, referring the reader to [Zwo12] and [DZ, Appendix E] for a comprehensive introduction to the subject.
For an -dependent family of smooth functions on , we say that lies in the symbol class if it satisfies the following derivative bounds on , uniformly in :
[TABLE]
Here and are parameters; is any coordinate system on which coincides with the Euclidean coordinate in each infinite end. Note that we require the bounds to be uniform as .
We fix a quantization procedure , mapping each to an -dependent family of operators
[TABLE]
Here denotes the space of Schwartz functions and the space of tempered distributions on , defined using Euclidean coordinates in the infinite ends. In case , is defined by the standard formula
[TABLE]
and for general it is constructed from (2.15) using coordinate charts (taking the Euclidean coordinate in each infinite end of ) and a partition of unity, see for instance [DZ, Proposition E.14]. We also arrange so that
[TABLE]
This gives a class of operators (which is independent of the choice of coordinate charts; see below for the definition of )
[TABLE]
The principal symbol map
[TABLE]
is independent of the choice of local coordinates and satisfies for ,
[TABLE]
We have if and only if . Every is bounded uniformly in as an operator
[TABLE]
where is the (global) semiclassical Sobolev space, defined using Euclidean coordinates in the infinite ends (see [DZ, §E.1.6]). See for instance [Zwo12, Theorems 4.14, 9.5, 14.1, 14.2] for the proofs in the case , which adapt directly to the case of general (see [Zwo12, Theorems 4.17, 4.18]). We also have for all ,
[TABLE]
See for instance [Zwo12, Theorem 5.1] whose proof adapts to operators in . Using the explicit formula for the integral kernel of , we also have the Hilbert–Schmidt bound
[TABLE]
where is some seminorm of .
The residual class for , denoted by or , is defined as follows:
[TABLE]
We also use the class of compactly microlocalized operators
[TABLE]
The standard classes of symbols and operators are given by the case :
[TABLE]
We have the following improvement of (2.19) when , the quantization (2.15) is used, and one of the symbols in question is in :
[TABLE]
This follows immediately from the asymptotic expansion for the full symbol of , see [Zwo12, Theorems 4.14, 4.17].
For , the wavefront set is defined as follows: does not lie in if and only if for some such that in a neighborhood of in . Here is the fiber-radially compactified cotangent bundle, see for instance [DZ, §§E.1.2, E.2.1]. For and some -independent open set , we say
[TABLE]
if . For , the elliptic set is defined as follows: if is bounded away from zero in a neighborhood of .
2.3. Functional calculus and the half-wave propagator
By the functional calculus of self-adjoint operators in (see for instance [DS99, §8]), for each the operator
[TABLE]
lies in for each . Moreover,
[TABLE]
and for each open set ,
[TABLE]
This makes it possible to describe the square root microlocally in :
Lemma 2.2**.**
Assume that . Then for each , with ,
[TABLE]
Proof.
We consider the case of the operator . Fix such that . Choose such that near . Then by (2.23)
[TABLE]
Put , then and
[TABLE]
and (2.24) follows. ∎
We next prove a Egorov theorem for the half-wave propagator
[TABLE]
Recall that is the homogeneous geodesic flow on .
Lemma 2.3**.**
Assume that for some and is contained in an -independent compact subset of . Then there exists a smooth family of symbols compactly supported in
[TABLE]
such that, with constants in the remainder uniform as long as is in a bounded set
[TABLE]
Proof.
Since is bounded on all Sobolev spaces, it suffices to construct such that
[TABLE]
Using a partition of unity for , it suffices to consider the case when is contained in a coordinate chart on . Moreover, by induction on time we see that it is enough to study the case when is small and thus lies in a fixed coordinate chart for all between [math] and . We thus reduce to the case when and is given by (2.15).
The differential equation in (2.25) can be rewritten as
[TABLE]
We construct as an asymptotic series
[TABLE]
To satisfy (2.26) it suffices take such that for some symbols
[TABLE]
we have
[TABLE]
We construct by induction, assuming is already known. Since is compactly supported in , by Lemma 2.2 and (2.22) the left-hand side of (2.28) is
[TABLE]
Then (2.28) holds for some if satisfies the transport equation
[TABLE]
We now put
[TABLE]
Then (2.29) is satisfied and thus (2.28) holds for some choice of . The support condition on follows from the support condition on . The support condition on follows from this and the fact that the asymptotic expansion for the full symbol of the left-hand side of (2.28) at each point only depends on the values of all derivatives of at this point. With given by (2.27) we also have and , finishing the proof. ∎
Lemma 2.3 gives us the following approximate inverse statement for the semiclassical Helmholtz operator , which is a version of propagation of singularities used in the proof of Lemma 3.4.
Lemma 2.4**.**
Assume that are supported in an -independent compact subset of , is compactly supported, and for some ,
[TABLE]
Then for any constant and , we have
[TABLE]
where is holomorphic in and satisfies the estimate for all ,
[TABLE]
Proof.
Observe that
[TABLE]
Therefore,
[TABLE]
By (2.16), Lemma 2.3, and (2.30), we have
[TABLE]
where is a pseudodifferential operator similarly to (2.24). It remains to apply on the left to (2.32) and put
[TABLE]
We finally establish properties of certain spectral cutoffs of width for the operator :
Lemma 2.5**.**
Assume that is bounded and its Fourier transform satisfies for some
[TABLE]
For varying in an -sized neighborhood of 1, define B(\omega):=\psi\big{(}{-h^{2}\Delta_{g}-\omega^{2}\over h}\big{)}:L^{2}(M)\to L^{2}(M), where extends to an entire function by (2.33). Then:
1. If satisfy
[TABLE]
and at least one of is in , then .
2. If additionally and is supported in an -independent compact subset of , then we have the Hilbert–Schmidt norm bound with the constants depending only on , some seminorm of , and a fixed compact set containing ,
[TABLE]
Proof.
We write using the Fourier inversion formula:
[TABLE]
Then (2.34) follows from the wavefront set properties of the Schrödinger propagator (see for instance [DG14, Proposition 3.8]). The estimate (2.35) follows from the proof of [DG14, Lemma 3.11]. ∎
3. Reduction to the trapped set
In this section we review the global properties of the scattering resolvent and the half-wave propagator and prove several statements which reduce the analysis to a neighborhood of the trapped set .
3.1. Scattering resolvent
The resolvent
[TABLE]
admits a meromorphic continuation
[TABLE]
In fact, when the dimension is odd, continues meromorphically to , and when is even, continues meromorphically to the logarithmic cover of . One way to prove meromorphic continuation is by constructing an approximate inverse to modulo a compact remainder which uses the free resolvent in – see for instance [DZ, §4.2] or [SZ91, Theorem 1.1]. (When has several infinite ends, we need to include the free resolvent on each of these ends.) Another way is by using the method of complex scaling which is reviewed below.
To study resonances in the region (1.3), we put and use the semiclassically rescaled resolvent
[TABLE]
which is a right inverse to the operator . For , the region in (1.3) corresponds to
[TABLE]
For resonance counting, it is convenient to prove estimates in a larger region,
[TABLE]
We next review the method of complex scaling, following [Dya15b, §4.3]. Fix small (the angle of scaling) and (the place where scaling starts). Consider the following totally real submanifold:
[TABLE]
where is chosen so that
[TABLE]
Define the complex scaled differential operator on as follows:
- •
on , is equal to ;
- •
on each infinite end of with Euclidean coordinate , is the restriction to (parametrized by ) of the extension, , to of the semiclassical Euclidean Laplacian . In polar coordinates ,
[TABLE]
with denoting Laplacian on the round sphere .
Then is a second order semiclassical differential operator on with principal symbol
[TABLE]
given by on and on each infinite end, in the polar coordinates ,
[TABLE]
As shown for instance in [DZ, Theorems 4.36 and 4.38] (whose proofs extend directly to the case of several Euclidean ends), for small enough so that and all
[TABLE]
and the poles of in coincide with the poles of , counted with multiplicities.
The next statement uses the structure of the complex scaled operator together with propagation of singularities to show existence of a nontrapping parametrix (see Figure 2):
Lemma 3.1**.**
Assume that is supported inside and its principal symbol is independent of and satisfies
[TABLE]
Then for small enough and , the operator is invertible . The inverse
[TABLE]
is holomorphic and satisfies for each
[TABLE]
Moreover, the operator is semiclassically outgoing in the sense that for all compactly supported such that
[TABLE]
Proof.
We follow [Dya15b, §4.3], see also [DZ, §6.2.1]. We use semiclassical elliptic and propagation estimates for solutions to the equation
[TABLE]
where
[TABLE]
The operator is elliptic for , since
[TABLE]
Moreover, is elliptic near the fiber infinity of , that is for large enough . By the elliptic estimate in the class (see for instance [Zwo12, Theorem 4.29], [DZ16, Proposition 2.4], or [DZ, §E.2.2]) there exists such that for all ,
[TABLE]
It remains to estimate in a compact set. By (3.3) and (3.4) the operator is elliptic outside the set . By the elliptic estimate, we have for all
[TABLE]
To estimate for general , we use the following statement: for each , there exists such that
[TABLE]
Indeed, assume the contrary, and put . Clearly . For all , we have and thus (using that on )
[TABLE]
Now, if , then for some , by (2.8) and (3.5). If , then for some . In either case we reach a contradiction, finishing the proof of (3.11).
[TABLE]
Using semiclassical propagation of singularities (see for instance [DZ, Theorem E.49] or [DZ16, Proposition 2.5]) and (3.10), we deduce that
[TABLE]
Indeed, by a pseudodifferential partition of unity we may reduce to the case when is contained in a small neighborhood of some . If , then we use (3.10). Otherwise we use propagation of singularities and (3.11), (3.12), and bound the term on the right-hand side of the propagation estimate by (3.10).
Together (3.9) and (3.13) imply that
[TABLE]
As a compact perturbation of , is a Fredholm operator , therefore (3.14) implies that for small enough, is invertible and (3.7) holds. The restriction of the inverse to does not depend on .
It remains to show that under the condition (3.8), we have . If or , this follows from the elliptic estimate; thus we may assume that . Take and put
[TABLE]
By (3.8), we may find such that and (3.13) holds for and . Then
[TABLE]
finishing the proof. ∎
We now prove two corollaries of Lemma 3.1, which in particular imply estimates on solutions to
[TABLE]
The first statement implies that
[TABLE]
Lemma 3.2**.**
Assume that is compactly supported and . Then there exists a neighborhood of such that for all satisfying (3.5) and , we have
[TABLE]
Proof.
Choose such that
[TABLE]
This is possible by part 4 of Lemma 2.1. Now
[TABLE]
by the semiclassically outgoing property in Lemma 3.1 (inserting an operator in between and ). ∎
The second corollary of Lemma 3.1 implies the following bound for solutions of (3.15):
[TABLE]
Lemma 3.3**.**
Assume that is compactly supported and elliptic on . Then for all satisfying (3.5) and , there exist such that
[TABLE]
Proof.
Take such that
[TABLE]
Then
[TABLE]
implies that
[TABLE]
It remains to use the elliptic parametrix construction to find , so that
[TABLE]
and (3.17) follows. ∎
The next statement, which is an important technical tool in the construction of the approximate inverse in §5.1, is obtained by iteration of Lemmas 2.4 and 3.2. See Figure 3.
Lemma 3.4**.**
Fix and assume that a sequence of symbols
[TABLE]
is supported in a fixed compact subset and each seminorm of is bounded uniformly in . Assume moreover that and there exists an -independent open neighborhood of and there exists bounded independently of such that the following dynamical conditions hold for all :
[TABLE]
Then we have for all , on
[TABLE]
where , are holomorphic in and satisfy the bounds for each
[TABLE]
Finally, if on some -independent neighborhood of , then a decomposition of the form (3.20) holds with replaced by the identity operator.
Proof.
Fix -independent such that
[TABLE]
Then is contained in an -independent compact subset of not intersecting , thus by Lemma 3.2 for an appropriate choice of we have for
[TABLE]
Next, by (3.18) we have
[TABLE]
Using (3.19), fix a multiplication operator such that
[TABLE]
Since on , we have . Therefore by Lemma 2.4,
[TABLE]
for all , where is holomorphic in and satisfies
[TABLE]
and the constant , as well as the constants in , is independent of and .
Adding (3.23) and (3.24) and iterating in , we obtain (3.20) with
[TABLE]
The bounds (3.21) and (3.22) follow from here and estimate on the operator norm following from (2.20):
[TABLE]
In particular, for any fixed we have
[TABLE]
To show the last statement of the lemma, assume that on an -independent neighborhood of . Take elliptic on and satisfying . Then by Lemma 3.3, we have for an appropriate choice of ,
[TABLE]
Combining this with the representation (3.20) of , we obtain (3.20) with the identity operator on the left-hand side. ∎
3.2. Wave propagator
We next study the long time behavior of the half-wave propagator . We first prove a microlocal estimate on the free half-wave propagator on ,
[TABLE]
where is the flat Laplacian.
Lemma 3.5**.**
Let such that there exists with
[TABLE]
at least one of , is a compact subset of , and
[TABLE]
Then we have the following version of propagation of singularities which is uniform in :
[TABLE]
Proof.
Write , for some whose supports satisfy the conditions imposed on , , including (3.25). The Schwartz kernel of is compactly supported and given by
[TABLE]
Put . Then there exists such that on the support of ,
[TABLE]
Indeed, since vary in a compact set and is bounded away from zero, it is enough to consider the case of bounded . Then (3.28) follows from (3.25).
Now, repeated integration by parts in gives that for each ,
[TABLE]
This completes the proof. ∎
We next use to write a parametrix for the propagator . For with and , we define
[TABLE]
as follows: we pull back the restriction of to each infinite end to using the Euclidean coordinate, apply , and take the sum of the resulting functions pulled back to . This gives an operator
[TABLE]
Recall the sets defined in (2.3).
Lemma 3.6**.**
Suppose that , satisfy for some (see Figure 4)
[TABLE]
Then we have uniformly in
[TABLE]
Proof.
We prove (3.30), with (3.31) established similarly. For simplicity of notation, we present the argument in the case when is diffeomorphic to . The general case is proved in the same way, reducing to the case when is supported on one infinite end and treating on this infinite end as an operator and . We identify with and use the quantization (2.15).
Since are bounded uniformly in on all Sobolev spaces and ,
[TABLE]
Therefore it remains to show that uniformly in ,
[TABLE]
where the operator on is defined by
[TABLE]
Using the wave operator , we write
[TABLE]
We compute
[TABLE]
Next,
[TABLE]
Indeed, by (2.24) both and are in . As explained in the discussion following [DS99, Theorem 8.7], the asymptotic expansion for the full symbol of each of these operators at some point can be computed using only the derivatives of and the full symbols of at this point. Since and on , we obtain (3.35).
Finally, since on , we have
[TABLE]
Now, with
[TABLE]
Then and satisfy (3.25), thus by Lemma 3.5
[TABLE]
Now (3.32) follows from (3.33)–(3.36), the bound , and the fact that for each , the operators
[TABLE]
are bounded in norm by . ∎
The next lemma shows that for times , the cutoff wave propagator , where and lies near , can be expressed in terms of cutoff wave propagators for bounded time. It relies on Lemmas 3.5 and 3.6 and is a key component of the proof of Lemma 6.1 below.
Lemma 3.7**.**
Let , , and satisfy for some and
[TABLE]
Put and let be an -independent constant. Then for each sequence of times
[TABLE]
we have
[TABLE]
Proof.
We may assume that , . Indeed, otherwise we may take , such that , , and , satisfy (3.37), and apply the argument below with replaced by .
We have
[TABLE]
Therefore it suffices to show that uniformly in . Since is unitary and satisfies the norm bound [Zwo12, Theorem 13.13]
[TABLE]
it is enough to show the following bounds uniform in (in fact (3.40) is used only for and (3.41) is used only for )
[TABLE]
We show (3.40) with the same proof giving (3.41) as well. Take such that
[TABLE]
We can replace by in (3.40) since
[TABLE]
Since commutes with , it suffices to show that
[TABLE]
where
[TABLE]
By Lemma 2.3, we have and
[TABLE]
Take . By (3.38) we have and by (3.37) we have . By (2.4) and since we see that . Applying (2.4) again and using that we see that for all . Therefore
[TABLE]
Denote . By (3.43) we may apply Lemma 3.6 to get for some ,
[TABLE]
Taking adjoints, we get
[TABLE]
By Lemma 3.5 and (3.44) we have
[TABLE]
Combining (3.45) and (3.46), we obtain (3.42), finishing the proof. ∎
Using Lemma 3.7, we also obtain the following estimate used in §6.3:
Lemma 3.8**.**
Assume that satisfy for some and
[TABLE]
Put and assume that satisfies
[TABLE]
Fix . Then for all , , and we have
[TABLE]
Proof.
We first consider the case . Fix such that
[TABLE]
We write
[TABLE]
By Lemma 3.7 (with taking the place of ) we have
[TABLE]
Therefore
[TABLE]
Another application of Lemma 3.7 gives
[TABLE]
finishing the proof since .
We now consider the case . Fix such that and . Since commutes with , we have
[TABLE]
Therefore
[TABLE]
By (3.47) and (3.48) we have . Therefore by Lemma 2.3
[TABLE]
Therefore
[TABLE]
finishing the proof. ∎
4. Dynamical cutoff functions
In this section, we construct families of auxiliary cutoff functions which localize to smaller and smaller neighborhoods of and are the key component of the proofs of Theorems 2 and 3. These functions are defined by propagating a fixed cutoff function for a large time.
Fix constants
[TABLE]
We propagate up to time where is the Ehrenfest time from (1.7) in the semiclassical scaling:
[TABLE]
Fix a cutoff function
[TABLE]
Define the following functions living near :
[TABLE]
By the derivative estimates for the flow (see for instance [DG16, Lemma C.1]) we have uniformly in ,
[TABLE]
By (2.9), there exists such that
[TABLE]
This implies the following
Lemma 4.1**.**
Let satisfy (4.2), (4.5). Then for all ,
[TABLE]
Proof.
For (4.6) it is enough to show that
[TABLE]
which follows immediately by applying to (4.5) with .
For (4.7) it is enough to show that
[TABLE]
which follows immediately by applying to (4.5) with .
To show (4.8), choose in the left-hand side of this equation. Since , by (2.8) we have for all large enough depending on . Then
[TABLE]
which is impossible by (4.5) with , as soon as .
Finally, to show (4.9), choose in the left-hand side of this equation. Since , by (2.8) we have for all large enough depending on . Then
[TABLE]
which is impossible by (4.5) with as soon as . ∎
5. Proof of the Weyl upper bound
In this section, we prove Theorem 2, following the method of [Dya15a]. We use the function and the constant satisfying (4.2), (4.5). We also assume that is chosen to be homogeneous of degree 0 near and . We fix -dependent
[TABLE]
with a large constant, chosen at the end of the proof, and independent of , and define the following functions using (4.1) and (4.3):
[TABLE]
which both lie in by (4.4). We also use a function
[TABLE]
5.1. Approximate inverse
We first construct an approximate inverse for the complex scaled operator (see §3.1), arguing similarly to the proof of [Dya15a, Proposition 2.1] and using the results of §4. See (3.2) for the definitions of .
Lemma 5.1**.**
Fix . Then there exist -dependent families of operators holomorphic in
[TABLE]
such that for all and the constant in (5.1) chosen large enough, we have on
[TABLE]
and the remainder is .
Proof.
Throughout the proof we will assume that ; the operators we construct are holomorphic in . Fix to be chosen at the end of the proof. We first show that
[TABLE]
For that, fix bounded independently of and such that
[TABLE]
We apply Lemma 3.4 to
[TABLE]
Indeed, we have in an -independent neighborhood of and . To verify (3.18), we first write by (4.7) with ,
[TABLE]
On the other hand, by (4.8)
[TABLE]
Since is independent of , are homogeneous of order 0 near , and
[TABLE]
we see that is contained in an -independent compact set not intersecting and (3.18) follows by making the complement of this compact set. Finally, to satisfy (3.19), we take large enough depending on . Now Lemma 3.4 applies and gives (5.6)–(5.8).
We next show that
[TABLE]
For that, we fix bounded independently of and such that
[TABLE]
We apply Lemma 3.4 to
[TABLE]
Then and . By (4.8), we have ; since is independent of , by Lemma 3.2 we have for an appropriate choice of
[TABLE]
To verify (3.18), (3.19) we argue as in the proof of (5.6)–(5.8) above, using (5.9) (which follows from (4.6) with ) and (5.10). Now Lemma 3.4 applies and, combined with (5.13), gives (5.11), (5.12).
We also have
[TABLE]
Indeed, choose in (5.1) large enough so that . Similarly to (4.5) we have for some
[TABLE]
The right-hand side is a compact set which by (4.8) does not intersect . Now (5.14) follows by Lemma 3.2 applied to the operator .
Finally, put
[TABLE]
It follows from (5.2) that , in particular is entire and can be defined. Then
[TABLE]
By (2.34) and the fact that on , we see that as long as , we have
[TABLE]
Combining (5.6), (5.14), (5.11), (5.16), we obtain (5.5) with
[TABLE]
and (5.3), (5.4) follow from (5.7), (5.8), (5.12), (5.14), (5.15) as long as we choose . ∎
5.2. Proof of Theorem 2
Fix and let
[TABLE]
be the operator featured in Lemma 5.1. Then is a Hilbert–Schmidt operator on and its Hilbert–Schmidt norm is estimated by (2.35) and (5.4):
[TABLE]
where we use (1.6) and the fact that
[TABLE]
Consider the Fredholm determinant
[TABLE]
We have by (5.17)
[TABLE]
On the other hand, if we put , then by (5.4) the norm is bounded above by as long as the constant in (5.1) is large enough. Therefore, we have and thus
[TABLE]
By (5.5) we have
[TABLE]
Therefore, the poles of in are contained in the set of poles of , that is in the set of zeroes of , counting with multiplicity. (The multiplicities are handled using Gohberg–Sigal theory, see for example [DZ, §C.4].) By (5.18), (5.19), Jensen’s bound on the number of zeroes of (see for instance [DJ17, Lemma 4.4]; we dilate the regions (3.1), (3.2) by ), and the relation of the poles of with resonances of , we see that the bound
[TABLE]
holds for all satisfying (5.1), , and , with defined in (1.7); here the constant depends on . We assume that , since otherwise there is a resonance free strip of arbitrarily large size (see for instance [DZ, Theorem 6.9]). Then by (2.14), we may remove the remainder in (5.20).
Now, put , where is the constant in (5.1), and , . Then (5.20) implies (using (2.13))
[TABLE]
If we instead put , , then (5.20) implies
[TABLE]
Choosing small enough, we see that (5.21) and (5.22) imply the bound (1.8), finishing the proof of Theorem 2.
6. Proof of wave decay on average
6.1. Hilbert–Schmidt bound
We first use the results of §3.2 to obtain a Hilbert–Schmidt bound for the wave propagator. Assume that satisfies for some and ,
[TABLE]
Put . By (2.4) the following stronger version of (4.5) holds:
[TABLE]
Take an energy cutoff function such that
[TABLE]
Fix constants and denote by the Ehrenfest time, see (4.1).
Lemma 6.1**.**
Fix . Then for each ,
[TABLE]
Proof.
Fix bounded independently of and such that
[TABLE]
Put . Fix such that for some
[TABLE]
Put
[TABLE]
Similarly to (4.4), for . Using (6.1), the proof of (4.6), (4.7) gives for all
[TABLE]
We have . Moreover, since commutes with
[TABLE]
It follows that
[TABLE]
From (6.6) and Lemma 3.7 (taking in place of ) we get
[TABLE]
We next transform the right-hand side of (6.7) into an expression involving the cutoffs . First of all, we claim that
[TABLE]
Indeed, the left-hand side of (6.8) is equal to where
[TABLE]
in particular B^{+}_{1}=\big{(}\operatorname{Op}_{h}(\widetilde{\chi})U(t_{1})\big{)}^{L-1}\operatorname{Op}_{h}(\widetilde{\chi}-\widetilde{\chi}_{t_{0}}^{+})U(t_{1})\psi_{2}(-h^{2}\Delta_{g})\operatorname{Op}_{h}(\widetilde{\chi}_{0}^{+}). By Lemma 2.3 and (6.4) with we have
[TABLE]
for and a similar argument with gives
[TABLE]
Therefore and (6.8) follows.
We next claim that
[TABLE]
Indeed, the left-hand side of (6.9) has the form where
[TABLE]
for and
[TABLE]
By Lemma 2.3 and (6.5) with , , we have
[TABLE]
and a similar argument with gives
[TABLE]
Therefore and (6.9) follows.
Combining (6.7)–(6.9), we obtain
[TABLE]
In fact the remainder is since its range consists of functions supported in . By (2.20) and since , we have as
[TABLE]
Therefore
[TABLE]
Finally, we have by (2.21)
[TABLE]
where in the last inequality we use (2.13). Combined with (6.10) this gives (6.3). ∎
6.2. Concentration of measures
Let be as in the introduction, in particular for some constant
[TABLE]
Denote by the unit sphere in . Let be chosen randomly with respect to the standard measure on the sphere.
Lemma 6.2**.**
Let be a bounded linear operator and take large enough so that . Then for all ,
[TABLE]
Proof.
Denote by the standard probability measure on and let be an orthonormal basis of . Consider the function , . We have
[TABLE]
The function is Lipschitz continuous; indeed, for
[TABLE]
By the Levy concentration of measure theorem [Led01, (2.6)]
[TABLE]
where is the median of , namely the unique number with the properties
[TABLE]
We next estimate the difference between and . By (6.12)
[TABLE]
Since by Jensen’s inequality, we have
[TABLE]
Using (6.12) with , we obtain for
[TABLE]
finishing the proof. ∎
6.3. Proof of Theorem 3
Recall from (2.12) that for some . With the parameter from (1.12), fix such that
[TABLE]
and fix such that
[TABLE]
Let be chosen in Theorem 3. Without loss of generality we assume that . We assume that is large and put
[TABLE]
We use the definition (1.12) of the space to show the following microlocalization statement:
Lemma 6.3**.**
We have for all
[TABLE]
Proof.
Let be an orthonormal basis of with . Then it suffices to show that for each such that , we have
[TABLE]
Let satisfy . Then , therefore it suffices to show that
[TABLE]
The Schwartz kernel of is compactly supported in . The function solves the equation
[TABLE]
and the operator is elliptic on due to (6.14). Then (6.16) follows from the semiclassical elliptic estimate, see for instance [DZ, Theorem E.32]. ∎
Let satisfy (3.48) and fix such that . By Lemma 3.8 combined with (6.15) we have for all
[TABLE]
for all , , where .
Using (6.17) and Lemmas 6.1–6.2, we now give
Proof of Theorem 3.
With the parameters in the statement of Theorem 3, take such that
[TABLE]
Let be defined in (1.7). Fix a sequence of times
[TABLE]
with the following bound on (seen by rewriting the inequality above as )
[TABLE]
Fix such that
[TABLE]
We view as a function of and note that satisfy the assumptions of §6.1. Then Lemma 6.1 (with ) gives for all
[TABLE]
where we remove the remainder by (2.14) using the assumption . Furthermore, and , so
[TABLE]
Write . Suppose that . Then there exists so that . By (6.17) with taking the role of
[TABLE]
where we again use (2.14) and the monotonicity (2.13) of to remove the error. Now, since for and ,
[TABLE]
Using (6.19) and the monotonicity of , we have
[TABLE]
Lemma 6.2 applied to then implies that there exists such that for all
[TABLE]
Therefore, by (6.20)
[TABLE]
Taking an intersection of these events for then gives
[TABLE]
finishing the proof. ∎
7. Examples
7.1. Manifolds of revolution
Consider the warped product with metric
[TABLE]
where is the round metric on the sphere, , and there exists so that
[TABLE]
Then is a manifold with two Euclidean ends so Theorems 2 and 3 apply. The symbol of the Laplacian is given
[TABLE]
where denote the momenta dual to . We compute
[TABLE]
Therefore, for a geodesic ,
[TABLE]
Throughout this section, we assume that
[TABLE]
Notice that
[TABLE]
To understand trapping on , we use
Lemma 7.1**.**
For any geodesic , we have for all
[TABLE]
Proof.
We prove (7.3) under the assumption , , with the other cases handled similarly. By (7.1) and (7.2), we have for all . Moreover, . This implies that for all and thus for . This immediately gives (7.3). ∎
Denote by the trapped set, see (2.6). Lemma 7.1 implies that
[TABLE]
On the other hand, if and , then and hence
[TABLE]
7.2. Example with cylindrical trapping
We now consider two special examples of manifolds of revolution. First, let be given as above with (see Figure 5)
[TABLE]
such that when . Then by (7.5),
[TABLE]
We estimate when . Fix
[TABLE]
Since for , we have
[TABLE]
On the other hand, suppose that . Then by Lemma 7.1,
[TABLE]
Therefore,
[TABLE]
In particular, this shows that there exists so that
[TABLE]
7.3. Example with degenerate hyperbolic trapping
Next, we study a less degenerate situation. Fix an integer and let be given as above with (see Figure 5)
[TABLE]
such that for . Then by (7.5)
[TABLE]
Fix small to be chosen later and let
[TABLE]
We consider the flow on , so that
[TABLE]
Recall that is constant on each geodesic.
We henceforth assume that . Observe that if , then and hence by Lemma 7.1 . Therefore
[TABLE]
By symmetry considerations, to understand the set it suffices to consider the set of trajectories which satisfy
[TABLE]
Lemma 7.2**.**
Under the assumption (7.6), for fixed small enough and large we have
[TABLE]
Proof.
Note that . Moreover, we have . Since , we have
[TABLE]
Using the inequality , , we have
[TABLE]
This implies (7.7).
Next if then
[TABLE]
and in this case (7.7) implies (7.8).
Finally, consider the case . Since for , , we have
[TABLE]
Making the change of variables , we get
[TABLE]
which implies
[TABLE]
We now have by (7.7)
[TABLE]
which gives (7.8). ∎
Applying Lemma 7.2, we obtain the volume bound and thus
[TABLE]
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