This paper investigates the conditions under which sequences in weighted ^p spaces are cyclic, linking these conditions to the Hausdorff dimension and capacity of the Fourier transform's zero set.
Contribution
It provides new necessary and sufficient conditions for cyclicity in weighted ^p spaces based on geometric properties of the Fourier transform's zero set.
Findings
01
Characterizes cyclicity using Hausdorff dimension.
02
Links capacity of zero set to cyclicity.
03
Establishes criteria for dense span in weighted ^p spaces.
Abstract
We study the cyclicity in weighted ℓp(Z) spaces. For p≥1 and β≥0, let ℓp_β(Z) be the space of sequences u=(u_n)_n∈Z such that (u_n∣n∣β)∈ℓp(Z). We obtain both necessary conditions and sufficient conditions for u to be cyclic in ℓp_β(Z), in other words, for {(u_n+k)_n∈Z,k∈Z} to span a dense subspace of ℓp_β(Z). The conditions are given in terms of the Hausdorff dimension and the capacity of the zero set of the Fourier transform of u.
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TopicsAdvanced Banach Space Theory · Advanced Harmonic Analysis Research · Stability and Controllability of Differential Equations
We study the cyclicity in weighted ℓp(Z) spaces. For p≥1 and β≥0, let
ℓβp(Z) be the space of sequences u=(un)n∈Z such that
(un∣n∣β)∈ℓp(Z). We obtain both necessary conditions and sufficient conditions for u to be cyclic in ℓβp(Z), in other
words, for {(un+k)n∈Z,k∈Z} to span a dense subspace of ℓβp(Z).
The conditions are given in terms of the Hausdorff dimension and the capacity of the zero set of the Fourier transform of u.
Key words and phrases:
Cyclicity, weighted ℓp spaces, capacity
2000 Mathematics Subject Classification:
primary 43A15; secondary 28A12, 42A38.
1. Introduction and main results
For p≥1 and β∈R, we define the Banach space
[TABLE]
endowed with the norm ∥⋅∥ℓβp. Notice that ℓ0p(Z) is the classical ℓp(Z) space.
In this work, we are going to investigate cyclic vectors for ℓβp(Z) when β≥0. A vector u∈ℓβp(Z) is called cyclic in ℓβp(Z) if the linear span of {(un+k)n∈Z,k∈Z} is dense in ℓβp(Z).
We denote by T the circle R/2πZ. The Fourier transform of u∈ℓp(Z) is given by
[TABLE]
and when u is continuous, we denote by Z(u) the zero set on T of u:
[TABLE]
The case β=0 was already studied by Wiener, Beurling, Salem and Newman.
When p=1 or p=2, Wiener characterized the cyclic vectors u in ℓp(Z) by the zeros of u, with the following theorem.
If p=1 then u is cyclic in ℓ1(Z) if and only if u has no zeros on T.
2. (2)
If p=2 then u is cyclic in ℓ2(Z) if and only if u is non-zero almost everywhere.
Lev and Olevskii showed that, for 1<p<2 the problem of cyclicity in ℓp(Z) is more complicated even for sequences in ℓ1(Z).
The following Theorem of Lev and Olevskii contradicts the Wiener conjecture.
If 1<p<2, there exist u and v in ℓ1(Z) such that Z(u)=Z(v), u is not cyclic in ℓp(Z), and v is cyclic in ℓp(Z).
So we can’t characterize the cyclicity of u in ℓp(Z) in terms of only Z(u), the zero set of u. However for u∈ℓ1(Z), Beurling, Salem and Newman gave both necessary conditions and sufficient conditions for u to be cyclic in ℓp(Z). These conditions rely on the ”size” of the set Z(u) in term of it’s h-measure, capacity and Hausdorff dimension.
Given E⊂T and h a continuous function, non-decreasing and such that h(0)=0, we define the h-measure of E by
[TABLE]
where the Ui are open intervals of T and where ∣Ui∣ denotes the length of Ui.
The Hausdorff dimension of a subset E⊂T is given by
Let μ be a positive measure on T and α∈[0,1). We define the α-energy of μ by
[TABLE]
The α-capacity of a Borel set E is given by
[TABLE]
where MP(E) is the set of all probability measures on T which are supported on a compact subset of E. If α=0, C0 is called the logarithmic capacity.
An important property which connects capacity and Hausdorff dimension is that (see [6], p. 34)
[TABLE]
In the following theorem, we summarize the results of Beurling [2], Salem [15] (see also [6] pp. 106-110) and Newman [10]. The Hölder conjugate of p=1 is noted by q=p−1p.
If u∈ℓ1(Z) and dim(Z(u))<2/q then u is cyclic in ℓp(Z).
2. (2)
For 2/q<α≤1, there exists E⊂T such that dim(E)=α and every u∈ℓ1(Z) satisfying Z(u)=E is not cyclic in ℓp(Z).
3. (3)
There exists E⊂T such that dim(E)=1 and every u∈ℓ1(Z) satisfying Z(u)=E is cyclic in ℓp(Z) for all p>1.
In this paper we give a generalization of the results of Beurling, Salem and Newman to ℓβp(Z) spaces.
When βq>1, we have an analogue of (1) in Wiener’s Theorem 1.1: a vector u∈ℓβp(Z) is cyclic if and only if u has no zeros on T. Indeed, ℓβp(Z) is a Banach algebra if and only if βq>1 (see [4]).
When p=2, Richter, Ross and Sundberg gave a complete characterization of the cyclic vectors u in the weighted harmonic Dirichlet spaces ℓβ2(Z) by showing the following result:
The vector u is cyclic in ℓβ2(Z) if and only if C1−2β(Z(u))=0.*
Our first main result is the following theorem.
Theorem A**.**
Let 1<p<2, β>0 such that βq≤1.
(1)
If u∈ℓβ1(Z) and dim(Z(u))<q2(1−βq) then u is cyclic in ℓβp(Z).
2. (2)
If u∈ℓβ1(Z) and dim(Z(u))>1−βq then u is not cyclic in ℓβp(Z).
3. (3)
For q2(1−βq)<α≤1, there exists a closed subset E⊂T such that dim(E)=α and every u∈ℓβ1(Z) satisfying Z(u)=E is not cyclic in ℓβp(Z).
4. (4)
If p=2k−12k for some k∈N∗ there exists a closed subset E⊂T such that dim(E)=1−βq and every u∈ℓβ1(Z) satisfying Z(u)=E is cyclic in ℓβp(Z).
Note that in order to prove (2) and (4) we show a stronger result (see Theorem 3.4).
We can summarize Theorem A by the following diagram:
dim(Z(u))[math]|$$\frac{2}{q}(1-\beta q)$$|$$1-\beta q$$|$$1$$|(1)(3) and (4)(2)
The fourth propriety shows that the bound 1−βq obtained in (2) is optimal in the sense that there is no cyclic vector such that dim(Z(u))>1−qβ, and, we can find some cyclic vector u with dim(Z(u))=1−βq. However this is only proved if p=2k−12k for some positive integer k. When p is not of this form, for all positive integer k, we still prove similar results but we loose the optimality because we fail to reach the bound 1−βq.
The ”equality case” dim(Z(u))=q2(1−βq) is not treated by the previous theorem. Newman gave a partial answer to this question when β=0, by showing that, under some additional conditions on Z(u), dim(Z(u))=q2 implies that u is a cyclic vector (see [10, Theorem 1]). We need the notion of strong α-measure, α∈(0,1), to state Newman’s Theorem in the equality case. For E a compact subset of T, we note (ak,bk), k∈N its complementary intervals arranged in non-increasing order of lengths and set
[TABLE]
We will say that E has strong α-measure [math] if
[TABLE]
Notice that if E has strong α-measure [math] then Hα(E)=0. The converse is true for some particular sets like Cantor sets but in general the converse is false (for some countable sets).
Theorem 1.5**.**
*Let 1<p<2 and u∈ℓ1(Z).
If Z(u) has strong α-measure [math] where α=q2 then u is cyclic in ℓp(Z).*
A positive answer to this question would contain Theorem 1.1 and Theorem 1.3.(1). We are not able to answer this question completely. Nevertheless, we show that if we replace 2/q-measure by h-measure where h(t)=t2/qln(1/t)−γ with γ>q2 then the answer is negative.
Moreover we extend Newman’s Theorem to ℓβp(Z).
Theorem B**.**
Let 1<p<2, β≥0 such that βq<1.
(1)
If u∈ℓβ1(Z) and Z(u) has strong α-measure [math] where α=q2(1−βq) then u is cyclic in ℓβp(Z).
2. (2)
For every γ>q2, there exists a closed subset E⊂T such that every u∈ℓβ1(Z) satisfying Z(u)=E is not cyclic in ℓβp(Z) and such that Hh(E)=0 where h(t)=tαln(e/t)−γ with α=q2(1−βq)
Note that the set E constructed in part (2) of Theorem B satisfy dim(E)=q2(1−βq).
2. Preliminaries and lemmas
Let 1≤p<∞ and β∈R.
We denote by D′(T) the set of distributions on T and M(T) the set of measures on T. For S∈D′(T), we denote by S=(S(n))n∈Z the sequence of Fourier coefficients of S and we write S=∑nS(n)en, where en(t)=eint. The space Aβp(T) will be the set of all distributions S∈D′(T) such that S belongs to ℓβp(Z). We endow Aβp(T) with the norm ∥S∥Aβp(T)=∥S∥ℓβp. We will write Ap(T) for the space A0p(T). Thus the Fourier transformation is an isometric isomorphism between ℓβp(Z) and Aβp(T). We prefer to work with Aβp(T) rather than ℓβp(Z). In this section we establish some properties of Aβp(T) which will be needed to prove Theorems A and B.
For 1≤p<∞ and β≥0 we define the product of f∈Aβ1(T) and S∈Aβp(T) by
[TABLE]
and we see that ∥fS∥Aβp(T)≤∥f∥Aβ1(T)∥S∥Aβp(T).
Note that if S∈A−βp(T) we can also define the product fS∈A−βp(T) by the same formula and obtain a similar inequality: ∥fS∥A−βp(T)≤∥f∥Aβ1(T)∥S∥A−βp(T).
For p=1, the dual space of Aβp(T) can be identified with A−βq(T) (q=p−1p) by the following formula
[TABLE]
We denote by P(T) the set of trigonometric polynomials on T. We rewrite the definition of cyclicity in the spaces Aβp(T) for β≥0 : S∈Aβp(T) will be a cyclic vector if the set {PS,P∈P(T)} is dense in Aβp(T). It’s clear that the cyclicity of S in Aβp(T) is equivalent to the cyclicity of the sequence S in ℓβp(Z). Moreover
for 1≤p<∞ and β≥0, S is cyclic in Aβp(T) if and only if there exists a sequence (Pn) of trigonometric polynomials such that
[TABLE]
We need the following lemmas which gives us different inclusions between the Aβp(T) spaces.
Lemma 2.1**.**
Let 1≤r,s<∞ and β,γ∈R.
(1)
If r≤s then Aβr(T)⊂Aγs(T)⇔γ≤β.
2. (2)
If r>s then Aβr(T)⊂Aγs(T)⇔β−γ>s1−r1.
Proof.
(1) : We suppose that r≤s. If γ≤β and S∈Aβr(T), we have
[TABLE]
Since ∥⋅∥ℓs≤∥⋅∥ℓr, we obtain S∈Aγs(T) and so Aβr(T)⊂Aγs(T).
Now suppose γ>β. Let S∈D′(T) be given by
[TABLE]
Then we have S∈Aβr(T)∖Aγs(T).
(2) : Now suppose that r>s.
If β−γ>s1−r1, we have by Hölder’s inequality,
[TABLE]
so that Aβr(T)⊂Aγs(T).
Now suppose that β−γ<s1−r1. Let ε>0 such that β−γ+ε<s1−r1, α=−s1−γ+ε and let S∈D′(T) be such that S(n)=nα. We have S∈Aβr(T)∖Aγs(T).
For the case β−γ=s1−r1 we take S∈D′(T) such that
[TABLE]
with ε=sr−1>0. We can show that S∈Aβr(T)∖Aγs(T) which proves that Aβr(T)⊂Aγs(T).
∎
For E⊂T, we denote by Aβp(E) the set of S∈Aβp(T) such that supp(S)⊂E, where supp(S) denotes the support of the distribution S. The following lemma is a direct consequence of the definition of capacity (see [6]) and the inclusion A−βq(T)⊂A2α−12(T) when q≥2 and 0≤α<q2(1−βq).
Lemma 2.2**.**
Let E a Borel set, β≥0 and q≥2. If there exists α, 0≤α<q2(1−βq), such that Cα(E)=0 then
A−βq(E)={0}.
We obtain the first results about cyclicity for the spaces Aβp(T), when Aβp(T) is a Banach algebra. More precisely, we have (see [4])
Proposition 2.3**.**
Let 1≤p<∞ and β≥0.
Aβp(T) is a Banach algebra if and only if βq>1. Moreover when βq>1, a vector f∈Aβp(T) is cyclic in Aβp(T) if and only if f has no zeros on T.
Let f∈Aβ1(T) ans S∈D′(T). We denote by Z(f) the zero set of the function f. Recall that en:t↦eint.
Lemma 2.4**.**
Let 1≤p<∞ and β≥0. Let f∈Aβ1(T) and S∈A−βp(T).
If for all n∈Z, ⟨S,enf⟩=0 then supp(S)⊂Z(f).
Proof.
We have
[TABLE]
Hence fS=0. Let φ∈C∞(T) such that supp(φ)⊂T∖Z(f). We claim that fφ∈Aβ1(T)⊂Aβq(T) where q=p−1p. So we obtain
[TABLE]
which proves that supp(S)⊂Z(f).
Now we prove the claim. Let ε=min{∣f(t)∣,t∈supp(φ)}>0 and P∈P(T) such that ∥f−P∥Aβ1(T)≤ε/3.
By the Cauchy-Schwarz and Parseval inequalities, for every g∈C1(T), we get
[TABLE]
Now, as in [11], by applying (2.2) to Pnφ we see that
[TABLE]
which finishes the proof.
∎
Proposition 2.5**.**
Let 1≤p<∞ and f∈Aβ1(T) with β≥0. We have
(1)
If f is not cyclic in Aβp(T) then there exists S∈A−βq(T)∖{0} such that supp(S)⊂Z(f).
2. (2)
If there exists a nonzero measure μ∈A−βq(T) such that supp(μ)⊂Z(f) then f is not cyclic in Aβp(T).
Proof.
(1) If f is not cyclic in Aβp(T), by duality there exists S∈A−βq(T)∖{0} such that
(2) Let μ∈Aq(T)∩M(T)∖{0} such that supp(μ)⊂Z(f). Since μ is a measure on T we have ⟨μ,enf⟩=0, for all n∈Z. So f is not cyclic in Aβp(T).
∎
Recall that Aβ1(T) is a Banach algebra. Let I be a closed ideal in Aβ1(T). We denote by ZI the set of common zeros of the functions of I,
[TABLE]
We have the following result about spectral synthesis in Aβ1(T).
Lemma 2.6**.**
Let 0≤β<1/2. Let I be a closed ideal in Aβ1(T). If g is a Lipschitz function which vanishes on ZI then g∈I.
Proof.
The proof is similar to the one given in [6] pp. 121-123. For the sake of completeness we give the important steps. Let I⊥ be the set of all S in the dual space of Aβ1(T) satisfying ⟨S,f⟩=0 for all f∈I. Let g be a Lipschitz function which vanishes on ZI and S∈I⊥. By Lemma 2.4, supp(S)⊂ZI. For h>0, we set Sh=S∗Δh where Δh:t↦h2−∣t∣+h1 if t∈[−h,h] and [math] otherwise. We have Δh(0)=1/2π and Δh(n)=2π1(nh)24sin(nh/2)2 for n=0. Since S is in the dual of Aβ1(T), Sh∈A1(T). Moreover we have supp(Sh)⊂supp(S)+supp(Δh)⊂ZIh:=ZI+[−h,h]. We have
[TABLE]
where C is a positive constant and where ∣E∣ denotes the Lebesgue measure of E. So
limh→0⟨Sh,g⟩=0.
By the dominated convergence theorem, we obtain that
[TABLE]
So ⟨S,g⟩=0. Therefore g∈I.
∎
We also need the following lemma which is a consequence of Lemma 2.6. Newman gave a proof of this when β=0 (see [10, Lemma 2]).
Lemma 2.7**.**
*Let 0≤β<1/2 and a closed set E⊂T.
There exists (fn) a sequence of Lipschitz functions which are zero on E and such that*
[TABLE]
if and only if every f∈Aβ1(T) satisfying Z(f)=E is cyclic in Aβp(T).
3. Proof of Theorem A
Before proving Theorem A, let us recall Salem’s Theorem (see [15] and [6] pp. 106-110).
Theorem 3.1**.**
*Let 0<α<1 and q>α2.
There exists a compact set E⊂T which satisfies dim(E)=α and there exists a positive measure μ∈Aq(T)∖{0} such that supp(μ)⊂E.*
To prove Theorem A, we also need the following result. The case β=0 was considered by Newman in [10]. For k∈N and E⊂T, we denote
[TABLE]
Theorem 3.2**.**
Let 1<p<2 and β>0 such that βq≤1, and let f∈Aβ1(T).
(a)
Let k∈N∗ be such that k≤q/2. If Cα(k×Z(f))=0 for some α<q2(1−βq)k, then f is cyclic in Aβp(T).
2. (b)
Let k∈N∗ be such that q/2≤k≤1/(2β). If Cα(k×Z(f))=0 where α=1−2kβ, then f is cyclic in Aβp(T).
Proof.
Let k∈N∗. Suppose that f is not cyclic in Aβp(T). Then there exists L∈A−βq(T), the dual of Aβp(T), such that L(1)=1 and L(Pf)=0, for all P∈P(T).
Since β<21, by (2.2), we get C1(T)⊂Aβ1(T)⊂Aβp(T), and by [9] (see also [10, Lemma 5]), there exists ϕ∈L2(T) such that
[TABLE]
Since L∈A−βq(T) which implies (L(en))n∈Z∈ℓ−βq(Z), we obtain
[TABLE]
Moreover we have,
[TABLE]
and so ⟨ϕ′−1,enf⟩=0 where ϕ′ is defined in terms of distribution.
By (3.1), ϕ′−1∈A−βq(T), so by lemma 2.4, we get supp(ϕ′−1)⊂Z(f).
For m∈N, we denote by ϕ∗m the result of convolving ϕ with itself m times. Using the fact that S′∗T=S∗T′ and 1∗S′=0 for any distributions S and T, we have
[TABLE]
So we can show by induction on m≥1 and by the formula supp(T∗S)⊂supp(T)+supp(S) that
[TABLE]
Note that (ϕ∗k)(k)(n)=iknkϕ(n)k for k≥1 and n∈Z.
(a) : Suppose that 0<k≤q/2 and Cα(k×Z(f))=0 for some α<q2(1−βq)k. We rewrite (3.1) as
[TABLE]
So, if we set q′=kq≥2 and β′=βk, we have (ϕ∗k)(k)∈A−β′q′(T). By (3.2) and by Lemma 2.2 we obtain that (ϕ∗k)(k)=(−1)k−1. This contradicts the fact that (ϕ∗k)(k)(0)=0.
(b) : Now suppose that k≥q/2 and Cα(k×Z(f))=0 where α=1−2kβ. Since q≤2k, we have by (3.1),
[TABLE]
So (ϕ∗k)(k)∈A−kβ2(T) and (ϕ∗k)(k)=(−1)k−1. Again this is absurd since (ϕ∗k)(k)(0)=0.
∎
We need to compute the capacity of the Minkowski sum of some Cantor type subset of T.
We denote by [x] the integer part of x∈R.
For λ∈[0,1] and k∈N∗, we define
[TABLE]
and we set in R/Z≃[0,1[,
[TABLE]
We denote Kλ=Kλ1 and Sλ=Sλ1.
To prove (4) of Theorem A we need the following lemma.
Lemma 3.3**.**
For all k≥1, we have
(1)
k×Sλ⊂Sλk* ;*
2. (2)
Cα(Sλk)=0* if and only if α≥1+λ1−λ ;*
3. (3)
dim(k×Sλ)=1+λ1−λ* and C1+λ1−λ(k×Sλ)=0.*
Proof.
(1) : We prove this by induction. If k=1 we have Sλ=Sλ1. We suppose the result true for k−1 for some k≥2 and we will show k×Sλ⊂Sλk. We have k×Sλ⊂(k−1)×Sλ+Sλ⊂Sλk−1+Sλ. Let x∈Sλk−1, y∈Sλ and z=x+y. Denote by (xi), (yi) and (zi) their binary decomposition. Let m∈Kλk. There exists j∈N such that m∈[2j,2j(1+λ+1/j)−k+1]. Since m∈Kλk, m and m+1 are contained in Kλk−1⊂Kλ, we have xm=ym=xm+1=ym+1=0. Therefore we write
[TABLE]
Note that for infinitely many i≥m+2, xi+yi<2, so we see that
[TABLE]
Therefore, we obtain by uniqueness of the decomposition that zm=0. This proves that x+y∈Sλk and k×Sλ⊂Sλk.
(2) : We will study the capacity of Sλk by decomposing it.
First we show that the set Sλk is a generalized Cantor set in the sense of [3, 13]. Let νj=[2j(1+λ+1/j)−k+1]+1 and N0 (depending only on k and λ) such that for all j≥N0, 2j<νj<2j+1. We set for N≥N0,
[TABLE]
Since 2j(1+λ+1/j)−k+1<νj≤2j(1+λ+1/j)−k+2, we have
[TABLE]
On one hand, there exists C≥1 such that for all j≥N,
[TABLE]
On the other hand, for N≥N0,
[TABLE]
Hence we obtain that lN is comparable to 2−2N(1+λ+1/N), that is:
[TABLE]
Moreover we have
[TABLE]
We set
[TABLE]
We can see EN as a union of disjoint intervals by writing
[TABLE]
where
[TABLE]
Note that the intervals EN(xi) are disjoint since by (3.4), lN<22N1.
For fixed N≥N0, let (xi)0≤i≤2N−1∈{0,1}2N and (yi)0≤i≤2N+1−1∈{0,1}2N+1.
Claim : EN+1(yi)⊂EN(xi) if and only if xi=yi for all 0≤i<2N and yi=0 for all 2N≤i<νN.
Indeed, suppose that EN+1(yi)⊂EN(xi) and let u∈EN+1(yi). We have
[TABLE]
where z1 and z2 are in [0,1]. By (3.4), lN<2νN1, and using the uniqueness of the binary representation, we obtain xi=yi for all 0≤i<2N and yi=0 for all 2N≤i<νN.
Now suppose xi=yi for all 0≤i<2N and yi=0 for all 2N≤i<νN. Let u∈EN+1(yi). We write
[TABLE]
where z∈[0,1]. Note that
[TABLE]
So we have
[TABLE]
and u∈EN(xi). This conclude the proof of the claim.
By the claim, for fixed (xi) and for N≥N0, we have the following properties :
(i)
the interval EN(xi) contains precisely
[TABLE]
intervals of the form EN+1(yi),
2. (ii)
the intervals of the form EN+1(yi) contained in EN(xi) are equidistant intervals of length lN+1: the distance of two consecutive intervals of the form EN+1(yi) is equal to 22N+1−lN+11,
3. (iii)
if we denote EN(xi)=[a,b] then there exist (yi) and (zi) such that EN+1(yi)=[a,a+lN+1] and EN+1(zi)=[b−lN+1,b].
Finally we can write Sλk as
[TABLE]
This shows that Sλk is a generalized Cantor set in the sense of [3, 13]. So, by [3, 13], we have for 0<α<1 that Cα(Sλk)=0 if and only if
(3) immediately follows from (1) and (2) by the capacity property (1.1).
∎
We are ready to prove Theorem A. The following Theorem is a reformulation of Theorem A in Aβp(T) spaces.
Theorem 3.4**.**
Let 1<p<2, β>0 such that βq≤1.
(1)
If f∈Aβ1(T) and dim(Z(f))<q2(1−βq) then f is cyclic in Aβp(T).
2. (2)
If f∈Aβ1(T) and C1−βq(Z(f))>0 then f is not cyclic in Aβp(T).
3. (3)
For q2(1−βq)<α≤1, there exists a closed set E⊂T such that dim(E)=α and every f∈Aβ1(T) satisfying Z(f)=E is not cyclic in Aβp(T).
4. (4)
Let k=[q/2]. For all ε>0, there exists a closed set E⊂T such that
[TABLE]
and such that every f∈Aβ1(T) satisfying Z(f)=E is cyclic in Aβp(T).
Furthermore, if p=2k−12k for some k∈N∗, E can be chosen such that dim(E)=1−βq.
Proof.
(1) : Note that, by (1.1), dim(Z(f))<q2(1−βq) if and only if there exists α<q2(1−βq) such that Cα(Z(f))=0. If Cα(Z(f))=0, by Lemma 2.2, there is no S∈A−βq(T)∖{0} such that supp(S)⊂Z(f) . So, by Proposition 2.5 (1), f is cyclic in Aβp(T).
(2) : Suppose that C1−βq(Z(f))>0. There exists a probability measure μ of energy I1−βq(μ)<∞, such that supp(μ)⊂Z(f) . So μ∈A−βq/22(T)∖{0}. Since ∣μ(n)∣≤1 for all n∈Z
and q≥2, we have μ∈A−βq(T). By proposition 2.5 (2), f is not cyclic in Aβp(T).
(3) : Let q2(1−βq)<α≤1. There exists ε>0 such that q2(1−βq)+ε<α. Let q′ such that q2−2β+ε=q′2. Since β>q1−q′1, by Lemma 2.1, Aq′(T)⊂A−βq(T).
By Theorem 3.1, as q′ satisfies q′>α2, there exists a closed subset E⊂T such that dim(E)=α and a non zero positive measure μ∈Aq′(T)⊂A−βq(T) such that supp(μ)⊂E. Now (3) follows from proposition 2.5.(2).
(4) : Let k=[q/2]. Suppose first q2(1−βq)k>1−2(k+1)β and let 0<ε′<ε satisfying 1−2(k+1)β≤q2(1−βq)k−ε′. Consider the set Sλ where λ verifies
[TABLE]
By Lemma 3.3.(3) we have dim(Sλ)=1+λ1−λ and C1+λ1−λ(k×Sλ)=0. Therefore by Theorem 3.2.(a), every f∈Aβ1(T) such that Z(f)=Sλ is cyclic in Aβp(T).
Now suppose q2(1−βq)k≤1−2(k+1)β. We consider Sλ where 1+λ1−λ=1−2(k+1)β. By lemma 3.3.(3) we have dim(Sλ)=1+λ1−λ=1−2(k+1)β and C1+λ1−λ((k+1)×Sλ)=0. So by Theorem 3.2.(b), every f∈Aβ1(T) such that Z(f)=Sλ is cyclic in Aβp(T).
Suppose now that p=2k−12k for some k∈N∗. As before, we consider Sλ where 1+λ1−λ=1−2kβ=1−βq. So again by Theorem 3.2.(b), every f∈Aβ1(T) such that Z(f)=Sλ is cyclic in Aβp(T).
∎
Note that the set E which is considered in 3.4.(4) verifies Cα(E)=0 where
[TABLE]
4. Proof of Theorem B
In this section we investigate the sharpness of the constant q2(1−βq) in Theorem A.
Before proving Theorem B, we need the following two results.
The following Lemma is an extension of Newman’s Lemma 3 (see [10] pp 654-655).
Lemma 4.1**.**
Let p∈[1,2[, β≥0 such that βq≤1. There exists C>0 such that
for all f∈A12(T),
[TABLE]
Proof.
It suffices to show that there exists C>0 such that for all sequences (cn)∈CN∗,
[TABLE]
Then we apply this inequality to (f(n))n≥1 and (f(−n))n≥1.
Let x2=∑n≥1∣cn∣2 and x2y2=∑n≥1n2∣cn∣2. Note that y≥1. On one hand, by the Hölder inequality,
[TABLE]
On the other hand we set γ=2−p2p(1−β). Since βq≤1, γ>1 and again by the Hölder inequality we obtain,
[TABLE]
So the conclusion of the Lemma holds with
[TABLE]
which is a positive constant depending only on p and β.
∎
The following theorem is due to Körner (see [7, Theorem 1.2]).
Theorem 4.2**.**
Let h:[0,∞)→[0,∞) be an increasing continuous function with h(0)=0 and let ϕ:[0,∞)→[0,∞) be a decreasing function.
Suppose that
(1)
∫1∞ϕ(x)2dx=∞;
2. (2)
there exist K1,K2>1 such that for all 1≤x≤y≤2x,
[TABLE]
3. (3)
there exists γ>0 such that
[TABLE]
4. (4)
there exist 0<K2<K3<1 such that for all t>0,
[TABLE]
Then there exists a probability measure μ with support of Hausdorff h-measure zero such that
[TABLE]
Recall Theorem B reformulated in Aβp(T) space.
Theorem 4.3**.**
Let 1<p<2 and β≥0 such that βq<1.
(1)
If f∈Aβ1(T) and Z(f) has strong α-measure [math] where α=q2(1−βq) then f is cyclic in Aβp(T).
2. (2)
For every γ>q2, there exists a closed subset E⊂T such that every f∈Aβ1(T) satisfying Z(f)=E is not cyclic in Aβp(T) and such that Hh(E)=0 where h(t)=ln(e/t)γtα with α=q2(1−βq).
Note that in (2), Hh is closed to Hα.
Proof.
(1) : The proof of this result holds by using arguments analogous to those of Newman for β=0 (see [10, Theorem 1]).
Denote by (ak,bk) the complementary intervals of Z(f) arranged in non-increasing order of lengths and set
[TABLE]
The set Z(f) has strong α-measure [math] where α=q2(1−βq) so
[TABLE]
Let ε>0 and n∈N such that rn<εn1−α1 and εn−α1<1.
Let the function ψ be given by
[TABLE]
where
[TABLE]
Then
[TABLE]
Moreover
[TABLE]
Since εn−α1<εnα1 and α=q2(1−βq), by Lemma 4.1,
[TABLE]
where C and C′ depend only on β and p. Note that 1−ψ is a Lipschitz function and Z(f)⊂Z(1−ψ). We conclude by Lemma 2.7.
(2) : Let α=q2(1−βq) and γ>q2. By Theorem 4.2 with ϕ(t)=(tln(et))−1/2 for t≥1 and h(t)=ln(e/t)γtα for t∈[0,∞), there exists a probability measure μ with support of Hausdorff h-measure zero such that
[TABLE]
for n=0. So
[TABLE]
with C a positive constant. Hence μ∈A−βq(T). We set E=supp(μ). By lemma 2.5 the result is proved.
∎
5. Remarks
We say that (ωn)∈RZ is a weight if wn≥1 and ωn+k≤Cωnωk for all k,n∈Z and C a positive constant. For ω a weight and 1≤p<∞ we set
[TABLE]
Note that ∥fS∥Aωp(T)≤∥f∥Aω1(T)∥S∥Aωp(T) for f∈Aω1(T) and S∈Aωp(T). So we have the same result as (2.1) to characterize cyclicity in Aωp(T) by norm.
When ωn=O((1+∣n∣)ε) for all ε>0, for example ωn=ln(e+∣n∣)β where β≥0, we can show the same result as Lemma 2.7. So by noting that for all p≥1 and δ>0,
[TABLE]
we obtain by Theorem A the following result:
Theorem 5.1**.**
Let 1<p<2 and ω=(ωn)n∈Z a weight satisfying ωn=O((1+∣n∣)ε) for all ε>0.
(1)
If f∈Aω1(T) and dim(Z(f))<q2 then f is cyclic in Aωp(T).
2. (2)
For q2<α≤1, there exists a closed subset E⊂T such that dim(E)=α and every f∈Aω1(T) satisfying Z(f)=E is not cyclic in Aωp(T).
3. (3)
For all 0<ε<1, there exists a closed subset E⊂T such that dim(E)=1−ε and every f∈Aω1(T) satisfying Z(f)=E is cyclic in Aωp(T).
Proof.
(1) : Let f∈Aω1(T) such that dim(Z(f))<q2. There exists 0<δ<1/2 such that dim(Z(f))<q2(1−δq). By Theorem 3.4.(1), every g∈Aδ1(T) satisfying Z(g)=Z(f) is cyclic in Aδp(T). Therefore by Lemma 2.7, there exist (fn) a sequence of Lipschitz functions which are zero on Z(f) and such that
[TABLE]
Moreover ωn=O((1+∣n∣)δ) so
[TABLE]
Again by Lemma 2.7 in Aωp(T), we obtain that f is cyclic in Aωp(T).
(2) : By the theorem of Salem (see Theorem 3.1 and Theorem 1.3.(2)), there exists a closed set E⊂T such that dim(E)=α and every f∈A1(T) satisfying Z(f)=E is not cyclic in Ap(T). Let f∈Aω1(T) such that Z(f)=E . Since f∈A1(T), f is not cyclic in Ap(T). However ∥⋅∥Ap(T)≤∥⋅∥Aωp(T) therefore f is not cyclic in Aωp(T).
(3) : Let 0<ε<1 and β>0 such that 1−2([q/2]+1)β≥1−ε. By Theorem 3.4.(4), there exists a closed set E⊂T such that
[TABLE]
and such that every f∈Aβ1(T) satisfying Z(f)=E is cyclic in Aβp(T). Since Aβp(T)⊂Aωp(T), we obtain, by Lemma 2.7, that every f∈Aω1(T) satisfying Z(f)=E is cyclic in Aωp(T).
∎
When p>2 the search for cyclic vectors in Ap(T) seems extremely difficult. Newman in [10] shows that for all α<2π there exists E⊂T which has a Lebesgue measure ∣E∣>α and such that every f∈A1(T) satisfying Z(f)=E is cyclic in Ap(T). See also [10, Theorem 6] for the existence of non cyclic functions under some conditions. We also have a characterization of the cyclic vectors in term of the zeros of the Fourier transform when p>2 but it’s not very effective : A function f∈A1(T) is cyclic in Ap(T) if and only if Z(f) does not support any non-zero function g∈Aq(T) where q=p−1p.
When ωn=log(e+∣n∣)β where 0<β<1, for all p>1−β2 and for all α<2π, Nikolskii shows in [12, Corollary 6], there exists E⊂T which has a Lebesgue measure ∣E∣>α and such that every f∈Aβ1(T) satisfying Z(f)=E is cyclic in Aβp(T).
Acknowledgements
I would like to acknowledge my doctoral advisors, K. Kellay and M. Zarrabi.
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