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A characterization of singular packing subspaces with an application to limit-periodic operators

  • Silas L. Carvalho and César R. de Oliveira EMAIL logo
Published/Copyright: June 14, 2016

Abstract

A new characterization of the singular packing subspaces of general bounded self-adjoint operators is presented, which is used to show that the set of operators whose spectral measures have upper packing dimension equal to one is a Gδ (in suitable metric spaces). As an application, it is proven that, generically (in space of continuous sampling functions), spectral measures of the limit-periodic Schrödinger operators have upper packing dimensions equal to one. Consequently, in a generic set, these operators are quasiballistic.

MSC 2010: 81Q10; 28A80; 35J10

1 Introduction and results

A study of packing continuity and singularity of bounded self-adjoint operators is performed. Our main goals here are to present a dynamical characterization of singular α-packing subspaces (Theorem 3.9), and use this result (along with the well-known equivalence between strong convergence and strong dynamical convergence of operators) to prove, for some metric space of self-adjoint operators, that the set of operators whose spectral measures have upper packing dimension equal to 1 is a Gδ set (Theorem 4.2). The dynamical characterization will be obtained in Section 3 through the notion of uniformly α-Hölder singular measures and Lemma 3.4 (which is a “singular version” of Strichartz’s Theorem [15]).

To put our work into perspective, we mention that, although important, it is not always easy to present dynamical characterizations of spectral subspaces of a self-adjoint operator T. For a vector ξ, denote the so-called return probability at time t by pξ(t):=|ξ,e-itTξ|2, clearly a dynamical quantity. It is well known (see, for instance, [13, Theorem 13.5.5]) that the absolutely continuous subspace of T is the closure of the vectors ξ so that pξL1(). By using Strichartz’s Theorem, recalled in Section 3, Last [11, Theorem 5.3] has presented a dynamical characterization of the α-Hausdorff continuous subspace αHcT of T (the definition is similar to αPcT in Proposition 2.5) in terms of averages

pξ(t):=1t0tpξ(s)ds,

that is, given 0<α<1, then for all ε>0,

closure{ξ:supttα+εpξ(t)<}αHcTclosure{ξ:supttαpξ(t)<}.

Here we have a parallel of this result (Theorem 3.9) for the α-packing singular subspace; for this, we have introduced an appropriate quantity in equation (3.1) and the concept of UαHS measures (see Definition 3.1).

We apply our general packing results to a class of limit-periodic operators. These are discrete one-dimensional ergodic Schrödinger operators, denoted by Hg,τκ, acting in l2(), whose action is given by

(1.1)(Hf,σκψ)n=ψn+1+ψn-1+Vn(κ)ψn,

with

(1.2)Vn(κ)=g(τn(κ));

here, κ belongs to a Cantor group Ω, τ:ΩΩ is a minimal translation on Ω and g:Ω a continuous sampling function, i.e., gC(Ω,) with the norm of uniform convergence. For more details, see [1].

For each κΩ, let Xκ be the set of limit-periodic operators Hg,τκ given by (1.1) and (1.2), with metric

(1.3)d(Hg,τκ,Hg,τκ)=g-g.

We shall prove the following

Theorem 1.1

For each κΩ, the set C1uPdκ:={TXκ:σ(T) is purely 1-upper packing dimensional} is generic in Xκ.

We stress that in a recent work [5], it was proven, again for some metric spaces of self-adjoint operators, that the set of operators whose spectral measures have upper correlation dimension equal to 1 is a Gδ. Since every Borel and finite measure on whose upper correlation dimension is one has upper packing dimension equal to 1, one can conclude that if the hypotheses in [5, Theorem 4.1] are fulfilled, then Theorem 4.2 follows. However, the hypotheses in Theorem 4.2 below are weaker than in [5, Theorem 4.1], and therefore easier to meet. In particular, we were not able to apply the method discussed in [5] to the class (1.1) of limit periodic operators, since the estimation of upper correlation dimension seems to be far from trivial in this case.

The notorious Wonderland Theorem [14] gives sufficient conditions for a set of self-adjoint operators, whose spectrum is purely singular continuous, to be generic. Theorem 4.2 is another step towards a better comprehension of the typical (in a topological sense) behavior of the spectral measures of a self-adjoint operator, since it generalizes Wonderland theorem in the sense that every application of Wonderland Theorem discussed in [14] for bounded operators can be extended to results about generic sets of operators whose spectral measures have upper packing dimension equal to 1 (on top of singular continuous spectrum).

The proof of Theorem 1.1 is presented in Section 5, since a previous preparation is required. Let us briefly discuss some dynamical consequences of Theorem 1.1 within the context of the unitary evolution group e-itT, that is, the solution to the corresponding Schrödinger equation [13]. Regarding the dynamics generated by a self-adjoint operator T acting on l2(), the growth of the width of “quantum wave packets” is usually probed by the algebraic growth of the (time-averaged) q-moments, q>0,

MTq(t):=n|n|q2t0e-2s/t|e-isTδ0,δn|2ds,

of the position operator at time t>0; such wave packets are represented here by the initial state δ0. To describe this algebraic growth MTq(t)tqβ(q) for large t, one usually considers the lower and the upper transport exponents, given respectively by

βT-(q):=lim inftlnMTq(t)qlnt,βT+(q):=lim suptlnMTq(t)qlnt.

The following result, extracted from [8], gives basic properties of moments within the setting of bounded self-adjoint operators T acting on l2(), in particular, for bounded discrete Schrödinger operators (that is, operators whose action is given by (1.1) with bounded potentials (Vn)).

Proposition 1.2

If T is a bounded self-adjoint operator on l2(Z), then the following statements hold:

  1. MTq(t) is well defined for all q,t>0,

  2. βT±(q) are increasing functions of q,

  3. βT±(q)[0,1], for all q>0.

In case βT+(q)=1 (resp. βT-(q)=1), for all q>0, the corresponding dynamics is called quasi-ballistic (resp. ballistic). We shall make use of the general inequality (see Definition 2.2 for the description of the upper packing dimension dimP+())

(1.4)βT+(q)dimP+(μδ0T)for all q>0,

proven in [10]. It is worth mentioning that βT-(q) is related to the upper Hausdorff dimension [9, 2], but we will not use them in this work. Following the discussion above and Theorem 1.1, one has:

Corollary 1.3

For every κΩ, the set CQBκ:={TXκ:βT+(q)=1 for every q>0} is generic in Xκ.

In Section 2, we recall suitable results on decompositions of Borel measures with respect to packing measures and dimensions, and how these components are related to pointwise scaling exponents and generalized dimensions. In Section 3, we present a singular version-like of Strichartz’s Theorem [15, 11] for finite measures, which is used to give a dynamical characterization of packing singular subspaces of bounded self-adjoint operators in general separable Hilbert spaces (see Theorem 3.9). The very same arguments lead to a version for spectral measures restricted to any given subinterval of the real line.

In Section 4, we state and prove Theorem 4.2. In the last section, as previously stated, we present the proof of Theorem 1.1. It is important to emphasize that the results of Section 4 can be used to prove, for every general class of bounded operators (including classes of not necessarily Schrödinger-like operators) discussed in [14], existence of generic sets of operators whose spectral measures have upper packing dimensions equal to 1.

Some words about notation: will always denote a complex separable Hilbert space. The spectrum of a self-adjoint operator T is denoted by σ(T). Unless explicitly stated, μ will always indicate a finite nonnegative Borel measure on , and its restriction to a Borel set E will be denoted by μ;E; it is singular if μ and the Lebesgue measure are mutually singular; it is supported on a Borel set S if μ(S)=0. We denote by supp(μ) the support of μ, that is, the complement of the largest open set B with μ(B)=0, and PT(E) represents the spectral projection of T associated with the Borel set E.

2 Basic tools

In this section, we recall important decompositions of Borel measures on with respect to packing measures and dimensions, along with the corresponding spectral decompositions of self-adjoint operators. We also recollect how these decompositions are related to the upper and generalized dimensions. This discussion parallels the rather well-known corresponding Hausdorff properties.

2.1 Packing decompositions

Given a set S and 0α1, denote by hα(S) its α-dimensional (exterior) Hausdorff measure and by dimH(S) its Hausdorff dimension. Since packing measures and dimensions are not so familiar as the Hausdorff versions, we recall their definitions in what follows.

A δ-packing of an arbitrary set S is a countable disjoint collection (B¯(xk;rk))k of closed intervals centered at xkS and radii rkδ2, so with diameters at most of δ. Define Pδα(S), 0α1, as

Pδα(S)=sup{k=1(2rk)α:(B¯(xk;rk))k is a δ-packing of S},

that is, the supremum is taken over all δ-packings of S. Then, take the decreasing limit

P0α(S)=limδ0Pδα(S)

as a pre-measure.

Definition 2.1

The α-packing (exterior) measurePα(S) of S is given by

Pα(S):=inf{k=1P0α(Sk):Sk=1Sk}.

The packing dimension of the set S, dimP(S), is defined as the infimum of all α such that Pα(S)=0, which coincides with the supremum of all α so that Pα(S)=.

It is possible to show [7] that the Hausdorff and packing dimensions are related by the inequality dimH(S)dimP(S), and this inequality is in general strict. It is also important to mention that Pα and hα are Borel (regular) measures and, for 0α<1, they are not σ-finite; furthermore, P0h0 and P1h1, and they are equivalent, respectively, to counting and Lebesgue measures.

Definition 2.2

The packing upper dimension of μ is defined as

dimP+(μ):=inf{dimP(S):μ(S)=0,S a Borel subset of }.

The notions of packing measures and dimensions lead to concepts of continuity and singularity of Borel measures with respect to them.

Definition 2.3

Let α[0,1]. We say that μ is

  1. α-packing continuous, denoted αPc, if μ(S)=0 for every Borel set S with Pα(S)=0.

  2. α-packing singular, denoted αPs, if it is supported on some Borel set S with Pα(S)=0.

  3. α-packing dimension continuous, denoted αPdc, if μ(S)=0 for every Borel set S with dimP(S)<α.

  4. almost α-packing dimension singular, denoted aαPds, if it is supported on some Borel set S with dimP(S)α.

  5. 1-packing dimensional, denoted 1Pd, if μ(S)=0 for any Borel set S with dimP(S)<1.

Proposition 2.4

Let μ be as before.

  1. Fix α(0,1]. If μ is αPs, then it is aαPds.

  2. Fix α[0,1). If μ is aαPds, then it is (α+ε)Ps for every 0<ε1-α.

Proposition 2.5

Let T:domTHH be a self-adjoint operator in the Hilbert space H, and μψT the spectral measure of T associated with the vector ψH. Given α(0,1), the sets

αPcT:={ψ:μψT is αPc}andαPsT:={ψ:μψT is αPs}

are closed and mutually orthogonal subspaces of H, which are invariant under T, and H=HαPcTHαPsT.

Proof.

The proof follows closely the proofs of the corresponding statements involving Hausdorff versions in [11, Theorem 5.1]. ∎

2.2 Generalized upper dimensions

Definition 2.6

The pointwise upper scaling exponent of μ at x is defined as

dμ+(x):=lim supε0lnμ(B(x;ε))lnε

if, for every ε>0, μ(B(x;ε))>0, and dμ+(x):=+ otherwise.

The function xdμ+(x) is measurable [7]. The following results relate packing singularity properties of nonnegative finite Borel measures on with their upper pointwise scaling exponent and dimensions (see [10] for details).

Proposition 2.7

Let μ be as before.

  1. If μ is αPs, then μ-esssupdμ+α1.

  2. μ is aαPds if, and only if, μ-esssupdμ+α1.

Proposition 2.8

Let E be a Borel subset of R. Then

dimP+(μ;E)=μ;E-esssupdμ;E+.

Item (ii) in Proposition 2.7 can be restated in the following way:

Corollary 2.9

Let E be a Borel subset of R. μ;E is aαPds if, and only if, dimP+(μ;E)α.

Now we recall the definition of generalized upper dimensions of positive Borel measures and how they are connected to the upper packing dimensions.

Definition 2.10

Let μ be a positive Borel measure on . The upper generalized dimensions of μ are defined, for q1, as

Dq+(μ):=lim supε0ln[[μ(B(x;ε))]q-1dμ(x)](q-1)lnε,

with integrals taken on suppμ.

For all q<1<s, [4, Proposition 4.1] gives

(2.1)Dq+(μ)dimP+(μ)Ds+(μ).

This will be used in Section 3, particularly with q=12.

3 Dynamical characterization of αPsT

In Definition 3.1, we introduce a class of special measures for which a singular version-like of Strichartz’s Theorem (Theorem 3.3) will be deduced (see Lemma 3.4). The arguments there will be used to prove the main result of this section, that is, Theorem 3.9. We assume, in what follows, that 0T represents a bounded self-adjoint operator on .

Definition 3.1

Let α[0,1] and μ be a positive Borel measure on . We say that μ is uniformly α-Hölder singular (UαHS) if there exist positive constants C and r0, with r0<1, such that, for all 0<r<r0 and for μ a.e. x, μ(B(x;r))Crα.

Besides the application to limit-periodic operators ahead, the next results have interest on their own (as well as the results in Section 4). Next a description of α-packing singular measures in terms of UαHS ones.

Theorem 3.2

Let μ be a positive Borel measure on R and α(0,1). If μ is αPs, then, for every 0<ε1-α and every δ>0, there exist a Borel set Sδ=SR such that μ(Sc)<δ and positive constants C and r0<1 such that, for each 0<r<r0 and for each xS, μ(B(x;r))Crα. Conversely, if, for every δ>0, there exist mutually singular Borel measures μ1δ and μ2δ such that μ=μ1δ+μ2δ, with μ1δ UαHS and μ2δ(R)<δ, then, for every 0<ε1-α, μ is (α+ε)Ps.

Proof.

Suppose that, for every δ>0, μ=μ1δ+μ2δ, with μ1δ and μ2δ satisfying the properties in the statement of the theorem. We must show, for every 0<ε1-α, that μ is (α+ε)Ps; by Propositions 2.4 and 2.7, this is equivalent to showing that μ-esssupdμ+α.

Let us assume, nonetheless, that μ-esssupdμ+>α. Thus, there is a Borel set, say B, of positive μ-measure such that dμ+(x)>α for every xB. Fix 0<ζ<μ(B). By hypothesis, there is a Borel set E (which may depend on ζ) such that μ can be decomposed as

μ=μ1ζ+μ2ζ,

with μ1ζ():=μ(E) UαHS and μ2ζ():=μ(Ec), with μ2ζ()<ζ.

By Definition 3.1, there are constants C>0 and 0<r0<1 such that, for every 0<r<r0 and every xED (D a set of zero μ1ζ-measure), μ1ζ(B(x;r))Crα. Now, since lnμ()lnμ1ζ(),

dμ+(x)=lim supr0lnμ(B(x;r))lnrlim supr0lnμ1ζ(B(x;r))lnrlim supr0lnClnr+α=α,

and dμ+(x)α for every xED. But then, (ED)cB, which implies that

ζ>μ2ζ(EcD)=μ2ζ(EcD)+μ1ζ(EcD)=μ(EcD)μ(B),

a contradiction with μ(B)>ζ. Thus, μ-esssupdμ+α, and we are done.

Conversely, if μ is αPs, then, by Proposition 2.7, μ-esssupdμ+α, that is,

lim supr0lnμ(B(x;r))lnrα

for μ a.e. x. Since the sequence (fr(x)) of measurable functions

fr(x):=suprrlnμ(B(x;r))lnr

converges to dμ+(x), Egoroff’s Theorem implies that given an arbitrary δ>0, there is a Borel set S such that μ(Sc)<δ and fr(x) converges uniformly on S to dμ+(x), as r0. But then, given an arbitrary 0<ε1-α, there is an r with 0<r0<1 such that, for every 0<r<r0 and all xS, lnμ(B(x;r))/lnr<α+ε, that is, μ(B(x;r))>rα+ε for all xS. ∎

Now we introduce another quantity that has proven useful. For a finite and positive Borel measure μ on and every t, write

(3.1)Ξμ(t):=dμ(x)(dμ(y)e-(x-y)2t2/4)-1/2.

If the measure μ is a spectral measure μψT, we denote Ξμ(t) by ΞψT(t).

Recall that μ is uniformly α-Hölder continuous [11] if there are positive and finite constants C and r0, so that for each 0<r<r0 and for μ a.e. x, μ(B(x;r))Crα. The following result is known as Strichartz’s Theorem (it is, in fact, an adapted version of the Theorem presented in [11] for f1L2(;dμ); see also [15] for the original result).

Theorem 3.3

Let μ be a finite uniformly α-Hölder continuous measure, and for each s>0, denote

μ^(s):=e-isxdμ(x).

Then, there exist constants D~ and t0>0, depending only on μ, such that, for any t>t0,

(3.2)1t0t|μ^(s)|2dsD~t-α.

The proof of Theorem 3.3 in [11], after some preparation, essentially consists of showing that there exist constants D~ and t0>0 so that

(3.3)dμ(x)(dμ(y)e-(x-y)2t2/4)D~tα,t>t0.

In such proofs, in case μ=μψT, the parameter “t” comes from the time evolution e-itTψ and the left hand side of (3.2) coincides with the average return probability pψ(t), so one may look at Ξμ(t) as a dynamical quantity. Equation (3.3), related to Hausdorff continuity, was our main motivation to introduce Ξμ(t), and we have got the following singular version of this result; although simple, it will be very useful ahead.

Lemma 3.4

Let μ be a finite positive Borel measure on R and UαHS for some α[0,1]. Then, there exist finite constants D>0 and t0>1 such that, for every t>t0,

Ξμ(t)μ()Dtα/2.

In case of spectral measures μψT, one has ΞψT(t)ψ2Dtα/2.

Proof.

Since μ is UαHS, there are positive constants C and r0, with r0<1, such that, for every 0<r<r0 and μ a.e. y, μ(B(y;r))Crα. Thus, by taking t01/r0, it follows, for every t>t0 and every x, that

(3.4)dμ(y)e-(x-y)2t2/4=n0n/t|x-y|<(n+1)/tdμ(y)e-(x-y)2t2/42Ct-αn0e-(n+1)2/4.

Finally, by letting D(2Cn0e-(n+1)2/4)-1/2, we obtain

Ξμ(t)=dμ(x)(dμ(y)e-(x-y)2t2/4)-1/2μ()Dtα/2.

In case of μ=μψT, just recall that μψT()=ψ2. ∎

Proposition 3.5

Let T be a bounded self-adjoint operator on H and α(0,1). Then, for every 0<ε1-α,

αPsT{0}{ψ:lim suptt-(α+ε)/2ΞψT(t)<}.

Proof.

Suppose that ψαPsT{0}, that is, that μψT is positive and αPs. By Theorem 3.2, it follows, for every 0<ε1-α and every δ>0, that there exist S such that μ(Sc)<δ and positive constants C and r0<1 such that, for each 0<r<r0 and for each xS, μ(B(x;r))Crα. Since e-(x-y)2t2/4 is positive, one has, for every x,t,

0<SdμψT(y)e-(x-y)2t2/4dμψT(y)e-(x-y)2t2/4<.

Thus, using the same reasoning presented in the proof of Lemma 3.4, one has

ΞψT(t)dμψT(x)(SdμψT(y)e-(x-y)2t2/4)-1/2ψ2Dt(α+ε)/2,

for some finite D and large t; relation (3.4) and the identity μψT()=ψ2 were used in the last inequality. ∎

Lemma 3.6

Let T be a bounded self-adjoint operator on H and α(0,1). Then, for each 0<εmin{α,1-α}, one has

{ψ:lim suptt-(α-ε)/2ΞψT(t)<}{ψ:D1/2+(μψT)α-ε2}{ψ:lim suptt-(α+ε)/2ΞψT(t)<}.

Proof.

Since, by hypothesis, T is bounded, μψT has compact support. Hence, the result is immediate from

(3.5)lim suptlnΞψT(t)lnt=12D1/2+(μψT),

proved in [3, Lemma 4.3] (note the different notation for ΞψT in [3]). ∎

Remark 3.7

The hypothesis that the operator T is bounded can be dropped as soon as one verifies (3.5). See [3] for a discussion about the validity of (3.5) in more general situations.

Proposition 3.8

Let α(0,1). Then, for every 0<εα,

{ψ:lim suptt-(α-ε)/2ΞψT(t)<}αPsT{0}.

Proof.

Fix 0<εα. If ψ is such that lim suptt-(α-ε)/2ΞψT(t)<, one has, from Lemma 3.6, that

D1/2+(μψT)α-ε2.

By inequalities (2.1), D1/2+(μψT)dimP+(μψT), and therefore,

dimP+(μψT)α-ε2;

consequently, it follows from Corollary 2.9 that μψT is a(α-ε2)Pds and so it is αPs, by Proposition 2.4. ∎

By combining Propositions 3.5 and 3.8, we obtain the following characterization of the α-packing singular subspace.

Theorem 3.9

Let T be a bounded self-adjoint operator on H. If α(0,1), then, for every 0<εmin{α,1-α},

{ψ:lim suptt-(α-ε)/2ΞψT(t)<}αPsT{0}{ψ:lim suptt-(α+ε)/2ΞψT(t)<}.

4 Generic quasiballistic and upper packing sets

Let (X,d) be a complete metric space of bounded self-adjoint operators, acting on the infinite-dimensional separable Hilbert space , such that the metric d convergence implies strong convergence of operators. We denote its elements by T. In order to obtain the main results of this section (i.e., Propositions 4.3 and 4.5), we will prove, for each fixed vector ψ, that the set

C1uPdψ;(a,b):={TX:dimP+(μψ;(a,b)T)=1}

is a Gδ set in X. Recall that here, μψ;(a,b)T denotes the restriction of μψT to the open interval (a,b), where -a<b+. If (a,b)=, we simply denote C1uPdψ;(a,b) by C1uPdψ.

Lemma 4.1

For each 0ψH, one has

(4.1)C1uPdψ=l=1k=1A1-1/(2l)-1/(2k)ψ,

where, for every α>0,

Aαψ:=n=0{TX:for each m, there exists t>m with t-α/2ΞψT(t)>n}.

Proof.

Fix α(0,1) and let aαPdsT:={ζ:μζT is aαPds}; by Corollary 2.9,

aαPdsT={ζ:dimP+(μζT)α}.

By Proposition 2.4, one has the inclusions αPsTaαPdsT(α+ε)PsT; then, by Theorem 3.9, it follows that, for each TX and each 0<εmin{α,(1-α)/2},

{ζ:lim suptt-(α-ε)/2ΞζT(t)<}aαPdsT{0}{ζ:lim suptt-(α+2ε)/2ΞζT(t)<}.

Hence, for fixed 0ψ and 0<εmin{α,(1-α)/2}, one has

n=0m=0t>m{TX:t-(α+2ε)/2ΞψT(t)>n}{TX:dimP+(μψT)>α}n=0m=0t>m{TX:t-(α-ε)/2ΞψT(t)>n},

that is,

Aα+2εψ{TX:dimP+(μψT)>α}Aα-εψ.

Finally, by replacing α by α-3ε and taking ε=1/(8k), k1, and α=1-1/(2l), l1, one obtains

l=1k=1A1-1/(2l)-1/(8k)ψC1uPdψl=1k=1A1-1/(2l)-1/(2k)ψ,

since

C1uPdψ=l=1k=1{TX:dimP+(μψT)>1-12l-38k}.

We remark that Lemma 4.1 holds true for restrictions to intervals (a,b). The choice (a,b)= was just for simplicity. However, we will keep the interval in Theorem 4.2 to deal with some subtleties there.

Theorem 4.2

Let -a<b+ and ψH. Then, the set C1uPdψ;(a,b) is a Gδ set in X.

Proof.

If, for every TX, μψT((a,b))=0 (which is the case when, for every TX, supp(μψT)(a,b)=), then

dimP+(μψ;(a,b)T)=0andC1uPdψ;(a,b)=

is a Gδ set in X.

Otherwise, suppose that ξ=ξ(T,ψ,(a,b)):=PT((a,b))ψ0 for some TX. Since, for bounded operators, strong convergence implies strong resolvent convergence, which in turn is equivalent to strong dynamical convergence (see [13, Theorem 10.1.8]), it follows, for each t, that the mapping XTΞψT(t) is continuous.

Now, let +(I) represent the set of positive finite Borel measures on the open interval I endowed with the vague topology; the continuity of the mapping +()μ()μ(I)+(I) (see [12] for details), combined with the continuity of XTΞψT(t), implies that XTΞξT(t) is also continuous.

Observe that if there exist TX, ξ0, t,x such that

dμξT(y)e-(x-y)2t2/4>0,

then the continuity of

XTdμξT(y)e-(x-y)2t2/4

implies that ΞξW(t) exists for every W in some neighborhood of T.

Therefore, one has, for every n0 and every k,l1, that {TX:t-1/2+1/(4l)+1/(4k)ΞξT(t)>n} is an open subset of X. Now, relation (4.1), that is,

C1uPdψ;(a,b)=l=1k=1n=0m=0t>m{TX:t-1/2+1/(4l)+1/(4k)ΞξT(t)>n},

completes the proof. ∎

Corollary 4.3

Let -a<b+, ψH, and denote by (μψT)1Pc the 1-packing continuous component of μψT. Suppose that

C1uPcψ;(a,b)={TX:(μψT)1Pc((a,b))0}

is dense in X. Then, the set C1uPdψ;(a,b) is generic in X.

Proof.

Since, by Theorem 4.2, C1uPdψ;(a,b) is a Gδ set in X, we just need to show that C1uPdψ;(a,b) is dense. Suppose, then, that (μψT)1Pc((a,b))>0; thus, by Definitions 2.2 and 2.3, dimP+(μψ;(a,b)T)=1, and therefore,

C1uPcψ;(a,b)C1uPdψ;(a,b).

But now, since C1uPcψ;(a,b) is dense, it follows that C1uPdψ;(a,b) is also dense. ∎

Remark 4.4

A well-known fact about discrete Schrödinger operators in l2(), with action (1.1) and general real potentials (Vn), is the presence of a common set of cyclic vectors {δ-1,δ0}. When the elements of the space X are of this type, the results stated in Corollary 4.3 can be strengthened. Namely, if for ζ{δ-1,δ0} the spectral measure μζ;(a,b)T is 1Pd, then μψ;(a,b)T is 1Pd for every vector ψ0 (since P1PdT((a,b))=PT((a,b)) in this case), which implies that {TX:dimP(E)=1 for some Eσ(T)(a,b)} is a Gδ set.

Write C1uPd:={TXλ,ν:dimP+(μδ0T)=dimP+(μδ-1T)=1}. The inclusion C1uPdCQB (see the definition of the latter in the Introduction; this inclusion results from Proposition 1.2 and the second inequality in (1.4)), together with Corollary 4.3, lead us to the following

Proposition 4.5

Suppose that the hypotheses of Corollary 4.3 are satisfied for ψ=δ0 and (a,b)=R. Then, CQB is generic in X.

5 Proof of Theorem 1.1

We need the following.

Theorem 5.1

Theorem 5.1 ([6, Theorem 1.1])

Suppose that Ω is a Cantor group and that τ:ΩΩ is a minimal translation. Then, for a dense set of gC(Ω,R) and every κΩ, the spectrum of Hg,τκ is purely absolutely continuous.

Proof of Theorem 1.1.

Fix κΩ, τ:ΩΩ a minimal translation of the Cantor group Ω, and consider in C(Ω,).

Since, by Theorem 5.1, Cacκ:={TXκ:σ(T) is purely absolutely continuous} is dense in Xκ, it follows that C1uPdκCacκ is also dense in Xκ. Thus, by Corollary 4.3 and Remark 4.4, we conclude that C1uPdκ is generic in Xκ.

The second assertion in the statement of the theorem follows from the inclusion C1uPdκCQBκ and Proposition 4.5. ∎


Communicated by Christopher D. Sogge


Award Identifier / Grant number: CEX-APQ-00554-13

Award Identifier / Grant number: 41004/2014-8

Funding statement: Silas L. Carvalho thanks the partial support by FAPEMIG (Universal Project CEX-APQ-00554-13). César R. de Oliveira thanks the partial support by CNPq (Universal Project 41004/2014-8).

References

[1] Avila A., On the spectrum and Lyapunov exponent of limit-periodic Schrödinger operators, Comm. Math. Phys. 288 (2009), 907–918. 10.1007/s00220-008-0667-2Search in Google Scholar

[2] Barbaroux J.-M., Combes J.-M. and Montcho R., Remarks on the relation between quantum dynamics and fractal spectra, J. Math. Anal. Appl. 213 (1997), 698–722. 10.1006/jmaa.1997.5571Search in Google Scholar

[3] Barbaroux J.-M., Germinet F. and Tcheremchantsev S., Fractal dimensions and the phenomenon of intermittency in quantum dynamics, Duke Math. J. 110 (2001), 161–194. 10.1215/S0012-7094-01-11015-6Search in Google Scholar

[4] Barbaroux J.-M., Germinet F. and Tcheremchantsev S., Generalized fractal dimensions: Equivalence and basic properties, J. Math. Pures Appl. (9) 80 (2001), no. 10, 977–1012. 10.1016/S0021-7824(01)01219-3Search in Google Scholar

[5] Carvalho S. L. and de Oliveira C. R., Correlation dimension wonderland theorems, J. Math. Phys. 57 (2016), Article ID 063501. 10.1063/1.4953248Search in Google Scholar

[6] Damanik D. and Gan Z., Spectral properties of limit-periodic Schrödinger operators, Commun. Pure Appl. Anal. 10 (2011), 859–871. 10.3934/cpaa.2011.10.859Search in Google Scholar

[7] Falconer K. J., Fractal Geometry, Wiley, Chichester, 1990. Search in Google Scholar

[8] Germinet F. and Klein A., A characterization of the Anderson metal-insulator transport transition, Duke Math. J. 124 (2004), 309–350. 10.1215/S0012-7094-04-12423-6Search in Google Scholar

[9] Guarneri I., Spectral properties of quantum diffusion on discrete lattices, Europhys. Lett. 10 (1989), 95–100. 10.1209/0295-5075/10/2/001Search in Google Scholar

[10] Guarneri I. and Schulz-Baldes H., Lower bounds on wave-packet propagation by packing dimensions of spectral measures, Math. Phys. Elect. J. 5 (1999), 1–16. 10.1142/9789812777874_0001Search in Google Scholar

[11] Last Y., Quantum dynamics and decomposition of singular continuous spectra, J. Funct. Anal. 142 (2001), 406–445. 10.1006/jfan.1996.0155Search in Google Scholar

[12] Lenz D. and Stollmann P., Generic sets in spaces of measures and generic singular continuous spectrum for Delone Hamiltonians, Duke Math. J. 131 (2006), 203–217. 10.1215/S0012-7094-06-13121-6Search in Google Scholar

[13] de Oliveira C. R., Intermediate Spectral Theory and Quantum Dynamics, Birkhäuser, Basel, 2009. 10.1007/978-3-7643-8795-2Search in Google Scholar

[14] Simon B., Operators with singular continuous spectrum. I: General operators, Ann. of Math. (2) 141 (1995), 131–145. 10.2307/2118629Search in Google Scholar

[15] Strichartz R. S., Fourier asymptotics of fractal measures, J. Funct. Anal. 89 (1990), 154–187. 10.1016/0022-1236(90)90009-ASearch in Google Scholar

Received: 2016-2-19
Revised: 2016-3-3
Published Online: 2016-6-14
Published in Print: 2017-1-1

© 2017 by De Gruyter

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