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Some Tsallis entropy measures in concomitants of generalized order statistics under iterated FGM bivariate distribution

  • Received: 06 June 2024 Revised: 01 July 2024 Accepted: 23 July 2024 Published: 31 July 2024
  • MSC : 62G30, 94A17

  • Shannon differential entropy is extensively applied in the literature as a measure of dispersion or uncertainty. Nonetheless, there are other measurements, such as the cumulative residual Tsallis entropy (CRTE), that reveal interesting effects in several fields. Motivated by this, we study and compute Tsallis measures for the concomitants of the generalized order statistics (CGOS) from the iterated Farlie-Gumbel-Morgenstern (IFGM) bivariate family. Some newly introduced information measures are also being considered for CGOS within the framework of the IFGM family, including Tsallis entropy, CRTE, and an alternative measure of CRTE of order η. Applications of these results are given for order statistics and record values with uniform, exponential, and power marginals distributions. In addition, the empirical cumulative Tsallis entropy is suggested as a method to calculate the new information measure. Finally, a real-world data set has been analyzed for illustrative purposes, and the performance is quite satisfactory.

    Citation: I. A. Husseiny, M. Nagy, A. H. Mansi, M. A. Alawady. Some Tsallis entropy measures in concomitants of generalized order statistics under iterated FGM bivariate distribution[J]. AIMS Mathematics, 2024, 9(9): 23268-23290. doi: 10.3934/math.20241131

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  • Shannon differential entropy is extensively applied in the literature as a measure of dispersion or uncertainty. Nonetheless, there are other measurements, such as the cumulative residual Tsallis entropy (CRTE), that reveal interesting effects in several fields. Motivated by this, we study and compute Tsallis measures for the concomitants of the generalized order statistics (CGOS) from the iterated Farlie-Gumbel-Morgenstern (IFGM) bivariate family. Some newly introduced information measures are also being considered for CGOS within the framework of the IFGM family, including Tsallis entropy, CRTE, and an alternative measure of CRTE of order η. Applications of these results are given for order statistics and record values with uniform, exponential, and power marginals distributions. In addition, the empirical cumulative Tsallis entropy is suggested as a method to calculate the new information measure. Finally, a real-world data set has been analyzed for illustrative purposes, and the performance is quite satisfactory.



    A complex exponential system is defined as E(Λ):={e2πiλ():λΛ} on a measurable set SR called a domain, where ΛR is a discrete set called a frequency set or a spectrum.

    Despite the simple formulation of exponential systems, the existence of exponential Riesz bases for a given domain S is a highly nontrivial problem. In 1995, Seip [26] proved that for any interval S[0,1), there exists a set ΛZ such that E(Λ) is a Riesz basis for L2(S). Only recently in 2015, Kozma and Nitzan [12] showed that for any finite union S of disjoint intervals in [0,1), there exists a set ΛZ such that E(Λ) is a Riesz basis for L2(S). To date, there are only a handful of classes of domains for which exponential Riesz bases are known to exist; see, e.g., [2,3,6,8,11,12,16,17,18,20,25]. Recently, Kozma, Nitzan, and Olevskii [13] constructed a bounded measurable set SR such that no exponential system can be a Riesz basis for L2(S).

    Aside from the question of existence of exponential Riesz bases, one may also ask whether frequency sets and domains of exponential Riesz bases can be combined or split in a canonical way.

    Question 1 (Combining exponential Riesz bases). Let S1,S2R be disjoint measurable sets and let Λ1,Λ2R be discrete sets with dist(Λ1,Λ2):=inf{|λ1λ2|:λ1Λ1,λ2Λ2}>0. Assume that for each n=1,2, the system E(Λn) is a Riesz basis for L2(Sn). Is E(Λ1Λ2) then a Riesz basis for L2(S1S2)?

    Note that we have excluded the case dist(Λ1,Λ2)=0 from consideration. This case can be divided into two sub-cases:

    (ⅰ) Λ1Λ2.

    (ⅱ) Λ1Λ2=, and there exist sequences {λ1,k}k=1Λ1 and {λ2,k}k=1Λ2 such that |λ1,kλ2,k|0 as k.

    Certainly, we do not want the frequency sets Λ1 and Λ2 to intersect, since those elements lying in the intersection would be counted only once in Λ1Λ2. On the other hand, (ⅱ) would imply that Λ1Λ2 is a non-separated set, in which case E(Λ1Λ2) is not even a Riesz sequence. This justifies the assumption dist(Λ1,Λ2)>0 in Question 1.

    Question 2 (Splitting exponential Riesz bases). Let S1,S2R be disjoint measurable sets. If Λ1,Λ2R are disjoint sets such that E(Λ2) and E(Λ1Λ2) are Riesz bases for L2(S2) and L2(S1S2) respectively, then is the system E(Λ1) a Riesz basis for L2(S1)?

    Unfortunately, both questions turn out negative in general.

    For Question 1, note that E(4Z(4Z+2)) is not a Riesz basis for L2([0,14)[24,34)), even though E(4Z) and E(4Z+2) form Riesz bases for L2[0,14) and L2[24,34) respectively. However, it can be amended to form a Riesz basis by slightly shifting one of the frequency sets. Indeed, for every 0<δ<2, the system E(4Z(4Z+2+δ)) is a Riesz basis for L2([0,14)[24,34)) while each of E(4Z) and E(4Z+2+δ) forms a Riesz basis for L2[0,14) and L2[24,34) respectively. See Example 2.6 below for more details.

    We also provide an example which cannot be amended by shifting the frequency sets as above. Fix any 0<ϵ<14 and let

    Λ(1):={,6,4,2,0,1+ϵ,3+ϵ,5+ϵ,},Λ(2):=Λ(1). (1.1)

    Then, E(Λ(1)), E(Λ(2)) and E(Λ(1)Λ(2)) form Riesz bases for L2[0,12), L2[12,1) and L2[0,1) respectively, despite the fact that Λ(1)Λ(2)={0}. To separate the frequency sets apart, we consider a uniform shifting of Λ(2). For any 0<δ<ϵ, we have dist(Λ(1),Λ(2)+δ)=δ>0, and each of E(Λ(1)) and E(Λ(2)+δ) forms a Riesz basis for L2[0,12) and L2[12,1) respectively. However, their union E(Λ(1)(Λ(2)+δ)) is overcomplete in L2[0,1) and thus cannot be a Riesz basis for L2[0,1). See Example 2.7 below for more details.

    Concerning Question 2, the sets Λ1:=Λ(1){0} and Λ2:=Λ(2) are disjoint and satisfy that E(Λ2) and E(Λ1Λ2) are Riesz bases for L2[12,1) and L2[0,1) respectively. However, E(Λ1) is incomplete in L2[0,12) and therefore is not a Riesz basis for L2[0,12).

    These observations suggest that in order to derive some positive answers to Questions 1 and 2, we would need to impose some additional conditions on the sets S1,S2R and Λ1,Λ2R.

    Our motivation for Questions 1 and 2 comes from applications in OFDM (orthogonal frequency division multiplexing) based communications, such as 4G and 5G mobile communications. The essential idea of OFDM is to divide the available bandwidth into multiple narrowband subcarriers, each of which is modulated independently. In mathematical terms, this boils down to the problem of efficient design of exponential Riesz bases for unions of intervals, where an ideal solution would involve constructing, for given disjoint intervals I1,,IN, some corresponding frequency sets Λ1,,ΛN such that E(nJΛn) is a Riesz basis for L2(nJIn) whenever J{1,,N}. Questions 1 and 2 contribute to this problem from slightly different perspectives: Question 1 deals with the scenario where two existing exponential Riesz bases can be straightforwardly combined by taking unions, and Question 2 addresses the scenario where an existing exponential Riesz basis can be split into two individual Riesz bases. While these questions stand on their own as pure mathematical problems, they can be potentially used in practical applications, such as in communications, as discussed above.

    A seminal work related to Question 1 is by Seip [26], who proved the existence of exponential Riesz bases for single intervals and for unions of disjoint intervals with a strong restriction on the lengths of the intervals. Lyubarskii and Seip [21] showed the existence of exponential Riesz bases for a finite union of disjoint intervals with equal lengths, and Lev [19] extended their result to a finite union of disjoint intervals with lengths belonging to αZ+βZ for α,β>0. Further, the case of finite unions of disjoint cubes in Rd was treated by Marzo [22], and the case of finite unions of disjoint rectangles in Rd with rational vertices was treated by De Carli [5].

    A significant breakthrough was made by Kozma and Nitzan [12], who proved that if I1,,IN are disjoint intervals contained in [0,1), then there exists a set ΛZ such that E(Λ) is a Riesz basis for L2(Nn=1In).

    Recently, Pfander, Revay, and Walnut [25] proved that for any partition of [0,1) into intervals I1,,IN, there exists a partition of Z into sets Λ1,,ΛN such that for each n, the system E(Λn) is a Riesz basis for L2(In), and moreover E(nJΛn) is a Riesz basis for L2(nJIn) whenever J{1,,N} is a consecutive index set (see [25, Theorems 1 and 2]). Moreover, Caragea and Lee [3] showed that if I1,,IN are disjoint subintervals of [0,1) with the property that the numbers 1,a1,,aL,b1,,bL are linearly independent over Q, then there exist pairwise disjoint subsets Λ1,,ΛN of Z such that for every J{1,,N}, the system E(nJΛn) is a Riesz basis for L2(nJIn).

    Another work related to Question 1 is by Frederick and Mayeli [7], who proved the following result. Let S[0,1) be a measurable set and let AZN:={0,1,,N1} with NN. If there exist sets ΛR and JZN such that E(Λ) and E(J) are Riesz bases for L2(S) and 2(A) respectively, and if

    ^δλ(ω)=1for allλΛ,ωA, (1.2)

    then E(Λ+JN) is a Riesz basis for L2(S+A) (see [7, Theorem 2]). Here, δλ denotes the Dirac delta at λ, and the sums are understood in the Minkowski sense, that is, Λ+JN={λ+jN:λΛ,jJ} and S+A={s+a:sS,aA}. Also, ˆf denotes the Fourier transform of f defined by ˆf(ω)=f(t)e2πitωdt for fL1(R)L2(R), which extends to functions in L2(R) and even to tempered distributions. This result, however, relies heavily on the Fourier duality and the condition (1.2) which requires some implicit symmetry in Λ and A.

    Regarding Question 2, we would like to mention two related results. In [23, Proposition 2.1] (also see [1, Proposition 5.4]), it was shown that for any ΛZ and any measurable set S[0,1), the system E(Λ) is a Riesz basis for L2(S) if and only if E(ZΛ) is a Riesz basis for L2([0,1)S). Also, it was proved in [21] that if there exists a set ΛR such that E(Λ) is a Riesz basis for L2[0,1), then for each 0<a<1, there exists a subset ΛΛ such that E(Λ) and E(ΛΛ) are Riesz bases for L2[0,a) and L2[a,1), respectively. The former result provides a positive answer to Question 2 in the case that Λ1Λ2=Z and S1S2=[0,1), while the latter result only shows the existence of a particular splitting of Λ into Λ1:=Λ and Λ2:=ΛΛ such that E(Λ1) and E(Λ2) are Riesz bases for L2[0,a) and L2[a,1), respectively.

    In this paper, we develop new methods for combining exponential Riesz bases, which rely on taking unions of frequency sets and domains respectively. This is conceptually different from the key lemmas of [3] and [12] which combine the frequency sets for An, n=1,,N (see Section 3 for more details). Also, our result requires only some mild conditions on the sets themselves and does not require any involved conditions like (1.2).

    Theorem 1. Let S1,S2R be disjoint bounded measurable sets with S1+aS2 for some aR{0}. If there exist sets Λ1R1aZ and Λ21aZ with dist(Λ1,1aZ)>0 such that for each =1,2, the system E(Λ) is a Riesz basis (resp., a complete sequence, a Riesz sequence) for L2(S), then E(Λ1Λ2) is a Riesz basis (resp., a complete sequence, a Riesz sequence) for L2(S1S2).

    As a direct generalization of Theorem 1, we have the following:

    Theorem 2. Let S1,S2R be disjoint bounded measurable sets satisfying S1+kaS2 for k=1,,K, with some aR{0} and KN. Let c1,,cK[0,1a) be distinct real numbers, and assume that there exist sets Λ1RKk=1(1aZ+ck) and Λ2Kk=1(1aZ+ck) with dist(Λ1,Kk=1(1aZ+ck))>0, such that for each =1,2, the system E(Λ) is a Riesz basis (resp., a complete sequence, a Riesz sequence) for L2(S). Then, E(Λ1Λ2) is a Riesz basis (resp., a complete sequence, a Riesz sequence) for L2(S1S2).

    It should be noted that Λ1RKk=1(1aZ+ck) can be an arbitrary set which is not contained in a union of lattices.

    We point out that the main advantage of Theorem 2 lies in the arbitrary choice of c1,,cK[0,1a). For instance, if S1,S2R satisfy S1+KNS2 for some K,NN, then one needs Λ2NKZ=K1k=0(NZ+kNK) in order to apply Theorem 1. However, according to Theorem 2, such a requirement can be weakened to Λ2Kk=1(NZ+ck) with arbitrary c1,,cK[0,N), if the conditions S1+kNS2, k=1,,K, are satisfied.

    Using Theorem 2, we can construct some exponential Riesz bases which cannot be obtained from the existing methods, such as the combining trick of Kozma and Nitzan (see Lemma 12 below).

    Example. Let S2=[13,1) and Λ2=(3Z+c1)(3Z+c2) with any c1,c2[0,3) satisfying

    det[e2πic1/3e4πic1/3e2πic2/3e4πic2/3]0.

    Then, E(Λ2) is a Riesz basis for L2(S2) by Proposition 9 below. Now, let S1[0,13) be a measurable set and let Λ1RΛ2 be a discrete set with dist(Λ1,Λ2)>0 such that E(Λ1) is a Riesz basis for L2(S1). Then, the sets S1+13 and S1+23 are both contained in S2, so the assumption of Theorem 2 is fulfilled with a=13 and K=2. Therefore, the system E(Λ1Λ2) is a Riesz basis for L2(S1S2) by Theorem 2.

    Note that there is no requirement on the structure of Λ1. Indeed, we only require Λ1RΛ2 to be a discrete set with dist(Λ1,Λ2)>0 such that E(Λ1) is a Riesz basis for L2(S1). In contrast, Lemma 12 requires all the frequency sets to be subsets of shifted copies of NZ; hence, Lemma 12 is not applicable here.

    Figure 1.  An example of sets S1 and S2 together with Λ1 and Λ2.

    As a partial converse of Theorems 1 and 2, we have the following.

    Theorem 3. (a) Let S1,S2R be disjoint bounded measurable sets with S1+aS2 for some aR{0}. If there exist sets Λ1R1aZ and Λ21aZ such that E(Λ1Λ2) is complete in L2(S1S2), then E(Λ1) is complete in L2(S1).

    (b) Let S1,S2R be disjoint bounded measurable sets satisfying S1+kaS2 for k=1,,K, with some aR{0} and KN. Let c1,,cK[0,1a) be distinct real numbers, and assume that there exist sets Λ1RKk=1(1aZ+ck) and Λ2Kk=1(1aZ+ck) such that E(Λ1Λ2) is complete in L2(S1S2). Then E(Λ1) is complete in L2(S1).

    Using Theorem 3(a), one can deduce the following. Let S1=[0,12) and S2=[12,1). If there is a set Λ1R2Z such that E(Λ12Z) is a Riesz basis for L2(S1S2), then E(Λ1) is necessarily complete in L2(S1) by Theorem 3(a). This is in clear contrast with the counterexample for Question 2 discussed on p. 2, where the sets Λ1:=Λ(1){0} and Λ2:=Λ(2) are disjoint and satisfy that E(Λ2) and E(Λ1Λ2) are Riesz bases for L2(S2) and L2(S1S2) respectively, but E(Λ1) is incomplete in L2(S1). Theorem 3(a) shows that such pathological examples cannot occur if Λ2=2Z.

    We point out that Theorems 1–3 can be easily generalized to higher dimensions. For instance, Theorem 1 can be generalized to dimension d as follows.

    For (a1,,ad)Rd, we define the set

    Γa1,,ad={(x1,,xd)Rd:e2πi(a1x1++adxd)=1}={(x1,,xd)Rd:a1x1++adxdZ}

    which is an additive closed subgroup of Rd. For instance, in the d=2 case,

    Γ0,0={(x,y)R2:0x+0yZ}=R2

    is the full 2-dimensional plane,

    Γ2,0={(x,y):2x+0yZ}=(12Z)×R

    is the union of all vertical lines whose x-intercept is a half-integer, and

    Γ2,1={(x,y):2x+yZ}={(x,y)R2:y=2x+n,nZ}

    is the union of all lines having slope 2 and integer y-intercept.

    Theorem 4. Let S1,S2Rd be disjoint bounded measurable sets satisfying S1+(a1,,ad)S2 for some (a1,,ad)Rd{(0,,0)}. If there exist sets Λ1RdΓa1,,ad and Λ2Γa1,,ad with dist(Λ1,Γa1,,ad)>0 such that for each =1,2, the system E(Λ) is a Riesz basis (resp., a complete sequence, a Riesz sequence) for L2(S), then E(Λ1Λ2) is a Riesz basis (resp., a complete sequence, a Riesz sequence) for L2(S1S2).

    Clearly, Theorem 1 is a special case of Theorem 4 with d=1.

    Note that Theorems 1–4 can be extended to unions of two or more domains. This will be addressed as part of a paper currently in preparation.

    Finally, it is worth mentioning that practical applications involving frames and Riesz bases often require information about frame/Riesz constants. However, our proofs for Theorems 1–4 do not readily provide a straightforward method for determining these constants. We leave the task of estimating frame/Riesz constants for future investigation.

    In Section 2, we review some necessary background on exponential systems and give some examples. In Section 3, we discuss some known methods for combining exponential Riesz bases and compare them with our results. Sections 4–7 are devoted to the proofs of Theorems 1–4, respectively. Section 8 provides a proof of Proposition 9 for self-containedness of the paper.

    Definition 5. A sequence {fn}nZ in a separable Hilbert space H is called

    ● a Bessel sequence in H (with a Bessel bound B) if there is a constant B>0 such that nZ|f,fn|2Bf2 for all fH,

    ● a frame for H (with frame bounds A and B) if there are constants 0<AB< such that Af2nZ|f,fn|2Bf2 for all fH,

    ● a Riesz sequence in H (with Riesz bounds A and B) if there are constants 0<AB< such that Ac22nZcnfn2Bc22 for all c={cn}nZ2(Z),

    ● a Riesz basis for H if it is a complete Riesz sequence in H.

    It is well known that a sequence in H is a Riesz basis if and only if it is both a frame and a Riesz sequence (see, e.g., [4, Proposition 3.7.3, Theorems 5.4.1 and 7.1.1] or [12, Lemma 1]).

    Let ΛR be a discrete set and let SR be a positive measure set. If E(Λ):={e2πiλ():λΛ} is a Riesz sequence in L2(S), then Λ is necessarily separated, i.e., inf{|λλ|:λλΛ}>0 (see, e.g., [15, Proposition 11]). Conversely, if ΛR is separated and SR is bounded, then E(Λ) is a Bessel sequence in L2(S) (see [28, p. 135, Theorem 4]).

    Proposition 6 (see, e.g., Lemma 8 in [15]). Let ΛR be a discrete set and let SR be a measurable set such that E(Λ) is a Riesz basis for L2(S) with bounds 0<AB<. Then, for any a,bR and c>0, the system E(cΛ+a) is a Riesz basis for L2(1cS+b) with bounds Ac and Bc. Moreover, the system E(Λ) is a Riesz basis for L2(S) with bounds A and B.

    Let us discuss an important property of exponential Riesz bases concerning the density of frequency sets and the measure of domains.

    For a discrete set ΛRd, we define the lower and upper density of Λ respectively by (see, e.g., [9])

    D(Λ)=lim infrinfzRd|Λ(z+[0,r]d)|rd,D+(Λ)=lim suprsupzRd|Λ(z+[0,r]d)|rd.

    If D(Λ)=D+(Λ), we say that Λ has uniform density D(Λ):=D(Λ)=D+(Λ).

    Proposition 7 (Landau's density theorem [14]). Let ΛRd be a discrete set and let SRd be a bounded set. If E(Λ) is a Riesz basis for L2(S), then Λ has uniform density, and D(Λ)=|S|.

    Theorem 8 (Kadec's 1/4 theorem; see, e.g., p. 36 in [28]). Let c>0 and 0<δ<14. If a sequence Λ={λn}nZR satisfies |λncn|cδ for all nZ, then E(Λ) is a Riesz basis for L2[0,1/c).

    Fix any NN. For any set K={c1,,cK} consisting of K distinct real numbers in [0,N), and any set LZN:={0,1,,N1} of cardinality L, we define

    WK,L:=[e2πick/N]ckK,LCK×L.

    Proposition 9. Fix any NN. Let ΩNZ and S[0,1N) be such that E(Ω) is a Riesz basis for L2(S) with Riesz bounds 0<AB<. Let K={c1,,cK} be a set of K distinct real numbers in [0,N), and let LZN be a set of cardinality L. Then, E(Kk=1Ω+ck) is

    (a) a frame for L2(LS+N) if and only if WK,L is injective,

    (b) a Riesz sequence in L2(LS+N) if and only if WK,L is surjective,

    (c) a Riesz basis for L2(LS+N) if and only if WK,L is bijective.

    Moreover, the corresponding lower frame/Riesz bounds are given by Aσ2min(WK,L) and Bσ2max(WK,L), where σmin(WK,L) and σmax(WK,L) are the smallest and the largest singular values of WK,L, respectively.

    Remark. If K or L consists of consecutive integers, then WK,L is essentially a Vandermonde matrix (due to the multi-linearity of determinant in the rows/columns; see (5.3) below). If NN is a prime and K,LZN, then WK,L has full rank by Chebotarëv's theorem on roots of unity, which asserts that every minor of the Fourier matrix in prime dimension is nonzero (see, e.g., [27]).

    Proposition 9 is somewhat considered folklore; see, e.g., [5, Theorem 1.1] and [24, Lemma 1.13]. For self-containedness of the paper, we provide a proof of Proposition 9 in Section 8.

    Now, let us discuss some examples of exponential Riesz bases. The first example is based on Proposition 9.

    Example 10. (a) Let K,LZ4 with |K|=|L|. If K or L is consecutive, then WK,L is essentially a Vandermonde matrix which is invertible, and hence E(kK4Z+k) is a Riesz basis for L2(L[4,+14)). On the other hand, for K=L={0,2}, the matrix

    WK,L=[e2πik/4]kK,L=[1111]

    is singular, so that E(2Z)=E(4Z(4Z+2)) is not a frame nor a Riesz sequence for L2([0,14)[24,34)). In fact, since all functions in E(2Z) are 12-periodic, the system E(2Z) is not complete in L2([0,14)[24,34)). However, this turns out to be a rare case. If K is replaced by {0,c} for any real number 0<c<4, c2, then

    WK,L=[111ecπi]

    is invertible, so that E(4Z(4Z+c)) is a Riesz basis for L2([0,14)[24,34)).

    (b) Let PN be a prime. By Chebotarëv's theorem on roots of unity (see, e.g., [27]), the matrix WK,L is invertible for every K,LZP with |K|=|L|. Hence, the system E(kKPZ+k) is a Riesz basis for L2(L[P,+1P)) whenever K,LZP with |K|=|L|. By rescaling (Proposition 6), we obtain that E(kK4Z+4Pk) is a Riesz basis for L2(L[4,+14)) whenever K,LZP with |K|=|L|.

    The next example is rather pathological and shows the delicate nature of exponential Riesz bases.

    Example 11. Fix any 0<ϵ<14 and set

    Λ(1):={,6,4,2,0,1+ϵ,3+ϵ,5+ϵ,},Λ(2):=Λ(1)={,5ϵ,3ϵ,1ϵ,0,2,4,6,}.

    Then, Λ(1)Λ(2)={0} and

    Λ(1)Λ(2)={,3ϵ,2,1ϵ,0,1+ϵ,2,3+ϵ,}.

    By labeling the elements of Λ(1) by

    ,λ2=4,λ1=2,λ0=0,λ1=1+ϵ,λ2=3+ϵ,,

    and comparing them with elements of 2Z1ϵ2, we see that

    λn(2n1ϵ2)={1ϵ2forn0,1ϵ2forn1.

    Then, Theorem 8 with c=2 and δ=1ϵ4 implies that E(Λ(1)) is a Riesz basis for L2[0,12); and thus, E(Λ(2))=E(Λ(1)) is a Riesz basis for L2[12,0)L2[12,1). Also, Theorem 8 with c=1 implies that E(Λ(1)Λ(2)) is a Riesz basis for L2[0,1). Consequently, E(Λ(1)), E(Λ(2)), and E(Λ(1)Λ(2)) form Riesz bases for L2[0,12), L2[12,1), and L2[0,1) respectively, despite the fact that Λ(1) and Λ(2) have a nonempty intersection, namely, Λ(1)Λ(2)={0}.

    Now, let us consider a uniform shifting of Λ(2). For any 0<δ<ϵ(<14), we have Λ(1)(Λ(2)+δ)=, dist(Λ(1),Λ(2)+δ)=δ, and

    Λ(1)(Λ(2)+δ)={,3ϵ+δ,2,1ϵ+δ,0,δ,1+ϵ,2+δ,3+ϵ,}.

    Note that removing the element 0 from Λ(1)(Λ(2)+δ) yields a pointwise perturbation of Z by at most ϵ(<14), so the system E((Λ(1){0})(Λ(2)+δ)) is a Riesz basis for L2[0,1) by Theorem 8. This implies that E(Λ(1)(Λ(2)+δ)) is overcomplete and thus cannot be a Riesz basis for L2[0,1), whereas E(Λ(1)) and E(Λ(2)+δ) form Riesz bases for L2[0,12) and L2[12,1) respectively.

    As mentioned in the introduction, Kozma and Nitzan [12] proved that for any finite union S of disjoint intervals in [0,1), there exists a set ΛZ such that E(Λ) is a Riesz basis for L2(S). Their result is based on the following lemma which combines exponential Riesz bases in a certain way.

    For any NN, any measurable set S[0,1), and n=1,,N, let

    An:={t[0,1N):t+kNSfor at leastnvalues ofk{0,1,,N1}}.

    Lemma 12 (Lemma 2 in [12]). Let NN and let S[0,1) be a measurable set. If there exist sets Λ1,,ΛNNZ such that E(Λn) is a Riesz basis for L2(An), then E(Nn=1(Λn+n)) is a Riesz basis for L2(S).

    Note that the sets Λn are shifted by n before taking their union, which prevents overlapping of frequency sets. When N is prime, one can use arbitrary shift factors instead of n.

    Lemma 13 (Lemma 6 in [3]). Let NN be a prime and let S[0,1) be a measurable set. If there exist sets Λ1,,ΛNNZ such that E(Λn) is a Riesz basis for L2(An), then for every permutation {kn}Nn=1 of {1,,N}, the system E(Nn=1(Λn+kn)) is a Riesz basis for L2(S).

    Using Lemmas 12 and 13, we obtain the following proposition which is in the same spirit as our main results, that is, one directly takes unions of frequency sets and domains respectively with appropriate shifts.

    Proposition 14. Let SMS1[0,1N) be measurable sets, where M,NN with MN. Assume that there exist sets Λ1,,ΛMNZ such that for each m=1,,M, the system E(Λm) is a Riesz basis for L2(Sm).

    (a) For any permutation {n}Nn=1 of {1,,N},

    E(Mm=1(Λm+m))isaRieszbasisforL2(Mm=1(Sm+m1N)).

    (b) If N is prime, then for any permutations {kn}Nn=1 and {n}Nn=1 of {1,,N},

    E(Mm=1(Λm+km))isaRieszbasisforL2(Mm=1(Sm+m1N)), (3.1)

    and moreover, for any subset J{1,,M},

    E(mJ(Λm+km))isaRieszbasisforL2(mJ(Sm+m1N)). (3.2)

    Comparison with Proposition 9. When a=1N, S=S1==SM[0,1N), and Ω=Λ1==ΛMNZ, Proposition 14 can be deduced from Proposition 9. Indeed, the corresponding matrix WK,L in part (a) is a Vandermonde matrix, while that in part (b) is a Fourier submatrix which is invertible by Chebotarëv's theorem on roots of unity.

    Comparison with Theorem 1. Let N2. If S1S2[0,1N) and Λ1,Λ2NZ are such that E(Λ1) and E(Λ2) form Riesz bases for L2(S1) and L2(S2) respectively, then Proposition 14(a) implies that E((Λ1+1)Λ2) is a Riesz basis for L2(S1(S2+KN)) with any K{1,,N1}. This result can also be deduced from Theorem 1. Indeed, by setting S1:=S1, S2:=S2+KN, Λ1:=Λ1+1, and Λ2:=Λ2, we have S1+KNS2, Λ1NZ+1(RNKZ), and Λ2NZ(NKZ). Hence, Theorem 1 with a=KN yields the same result. Note that Theorem 1 actually allows more flexibility in the choice of Λ1RNKZ.

    Proof of Proposition 14. (a) For any permutation {n}Nn=1 of {1,,N}, the set S:=Mm=1(Sm+m1N) is contained in [0,1), and

    An=An(N,S)={Snforn=1,,M,forn=M+1,,N.

    By Lemma 12, the system E(Mm=1(Λm+m)) is a Riesz basis for L2(S).

    (b) If NN is prime, then Lemma 13 yields that for every permutation {kn}Nn=1 of {1,,N}, the system E(Mm=1(Λm+km)) is a Riesz basis for L2(S). Now, fix any subset J{1,,M}, say, J={j1,,jR} with j1<<jR and 1RM. Since SjRSj1[0,1N), we can deduce from (3.1) that E(Rr=1(Λjr+kjr)) is a Riesz basis for L2(Rr=1(Sjr+jr1N)), which is exactly (3.2).

    In the proofs of Theorems 1–4, we will need the following notions. The Fourier transform is defined as

    F[f](ω)=ˆf(ω)=f(t)e2πitωdt,fL1(R)L2(R),

    so that F[] extends to a unitary operator from L2(R) onto L2(R). The Paley-Wiener space over a measurable set SR is defined as

    PW(S):={fL2(R):suppˆfS}=F1[L2(S)]

    equipped with the norm fPW(S):=fL2(R)=ˆfL2(S). If SR has finite measure, then every fPW(S) is continuous, and

    f(x)=Sˆf(ω)e2πixωdω=ˆf,e2πix()L2(S)for allxR. (4.1)

    Definition 15. Let SR be a measurable set. A discrete set ΛR is called

    a set of uniqueness for PW(S) if the only function fPW(S) satisfying f(λ)=0 for all λΛ is the trivial function f=0,

    a set of interpolation for PW(S) if for each {cλ}λΛ2(Λ) there exists a function fPW(S) satisfying f(λ)=cλ for all λΛ.

    We can easily deduce the following from (4.1).

    (ⅰ) Λ is a set of uniqueness for PW(S) if and only if E(Λ)=¯E(Λ) is complete in L2(S) if and only if E(Λ) is complete in L2(S).

    (ⅱ) If E(Λ) is a Bessel sequence in L2(S), then Λ is a set of interpolation for PW(S) if and only if E(Λ) is a Riesz sequence in L2(S) (see [15, Appendix A] for more details).

    We are now ready to prove Theorem 1.

    Completeness. Assume that fPW(S1S2) satisfies f(λ)=0 for λΛ1Λ2. Define f1PW(S1) by ˆf1=ˆf1S1 and define gPW(S2) by

    ˆg(ω):=ˆf(ω)ˆf1(ω)supported inS2+ˆf1(ωa)supported inS1+aS2.

    Since S2 is a bounded set, it follows from (4.1) that g(x)=f(x)(1e2πiax)f1(x) for all xR; in particular, we have g(λ2)=f(λ2)=0 for all λ2Λ2(1aZ). Since gPW(S2) and since Λ2 is a set of uniqueness for PW(S2), we have g=0 and thus f(x)=(1e2πiax)f1(x) for all xR. By the assumption, it holds that 0=f(λ1)=(1e2πiaλ1)f1(λ1) for all λ1Λ1. Note that for every λ1Λ1(R1aZ), we have e2πiaλ11, and therefore f1(λ1)=0. Since f1PW(S1) and since Λ1 is a set of uniqueness for PW(S1), we get f1=0 and thus arrive at f=0. This shows that Λ1Λ2 is a set of uniqueness for PW(S1S2); hence, the system E(Λ1Λ2) is complete in L2(S1S2).

    Riesz sequence. Since Λ1Λ2 is separated and since S1S2 is bounded, the system E(Λ1Λ2) is a Bessel sequence in L2(S1S2). Thus, to prove that E(Λ1Λ2) is a Riesz sequence in L2(S1S2), it is enough to show that Λ1Λ2 is a set of interpolation for PW(S1S2).

    To show this, we will fix an arbitrary b={bλ}λΛ1Λ22(Λ1Λ2) and construct a function fPW(S1S2) satisfying f(λ)=bλ for all λΛ1Λ2. Since Λ2 is a set of interpolation for PW(S2), there exists a function gPW(S2) satisfying g(λ2)=bλ2 for all λ2Λ2. Note that for any f1PW(S1), the function

    f(x):=g(x)+(1e2πiax)f1(x),xR,

    belongs in PW(S1S2) and satisfies f(λ2)=g(λ2)=bλ2 for λ2Λ2(1aZ). We will now choose a particular function f1PW(S1) as follows. Since Λ1 is separated and since S2 is bounded, the system E(Λ1) is a Bessel sequence in L2(S2), so that the sequence {g(λ1)}λ1Λ1 is in 2(Λ1), and so is the sequence {11e2πiaλ1(bλ1g(λ1))}λ1Λ1. Here, it holds that e2πiaλ11 for all λ1Λ1(R1aZ), and moreover, the condition dist(Λ1,1aZ)>0 ensures that infλ1Λ1|1e2πiaλ1|>0. Now, since Λ1 is a set of interpolation for PW(S1), there exists a function f1PW(S1) satisfying f1(λ1)=11e2πiaλ1(bλ1g(λ1)) for all λ1Λ1. We then have f(λ1)=bλ1 for all λ1Λ1. This shows that the function fPW(S1S2) satisfies f(λ)=bλ for all λΛ1Λ2, as desired.

    Riesz basis. By definition, a Riesz basis is a complete Riesz sequence. Hence, this part follows immediately by combining the completeness and Riesz sequence parts.

    Remark. Fix any nonzero real number a0. Then, for xR, the term 1e2πiax vanishes if and only if axZ. Similarly, for any MN and xR, the term

    1e2πiMax=(1e2πiax)(1+e2πiax++e2πi(M1)ax) (4.2)

    vanishes if and only if e2πiax is an M-th root of unity (i.e., e2πiax is one of 1,e2πi/M,e2πi2/M,,e2πi(M1)/M) if and only if ax1MZ. We will make use of the factorization (4.2) in the proof of Theorem 2.

    By shifting the sets Λ1,Λ2R simultaneously by a constant (see Proposition 6), we may assume without loss of generality that c1=0.

    Completeness. Assume that fPW(S1S2) satisfies f(λ)=0 for λΛ1Λ2. Define f1PW(S1) by ˆf1=ˆf1S1 and define gPW(S2) by

    ˆg(ω):=ˆf(ω)ˆf1(ω)supported inS2+a1ˆf1(ωa)supported inS1+aS2++aKˆf1(ωKa)supported inS1+KaS2

    for some constants a1,,aKR to be chosen later. Requiring a1++aK=1, one may rewrite the equation as

    ˆg(ω)=ˆf(ω)a1(ˆf1(ω)ˆf1(ωa))aK(ˆf1(ω)ˆf1(ωKa)),

    which is equivalent to

    g(x)=f(x)a1(1e2πiax)f1(x)aK(1e2πiKax)f1(x).

    Using the factorization (4.2), this is in turn equivalent to

    g(x)=f(x)f1(x)(1e2πiax)h(x) (5.1)

    where h(x):=a1+a2(1+e2πiax)++aK(1++e2πi(K1)ax). Changing the variables from a1,,aK to ak:=Kn=kan for k=1,,K (which corresponds to a linear bijection between (a1,,aK)RK and (a1,,aK)RK), the constraint a1++aK=1 becomes a1=1. Thus, we have

    h(x)=1+a2e2πiax++aKe2πi(K1)ax. (5.2)

    We will now find a2,,aKR satisfying h(ck)=0 for k=2,,K, which corresponds to solving the (K1)×(K1) linear system

    [e2πiac2e2πi2ac2e2πi(K1)ac2e2πiac3e2πi2ac3e2πi(K1)ac3e2πiacKe2πi2acKe2πi(K1)acK][a2a3aK]=[111].

    Note that the associated matrix has a nonzero determinant given by

    e2πia(c2+c3++cK)det[1e2πiac2e2πi(K2)ac21e2πiac3e2πi(K2)ac31e2πiacKe2πi(K2)acK]=e2πia(c2+c3++cK)2j<kK(e2πiacke2πiacj)0 (5.3)

    where we used the multi-linearity of determinant in the rows and the Vandermonde determinant formula (see, e.g., [10]). Hence, the linear system is uniquely solvable in a2,,aKR, and in turn, a1,,aKR are uniquely determined from a2,,aK via the 1:1 correspondence. In fact, we must have

    h(x)=Kk=2(1e2πia(xck))

    which is clearly of the form (5.2) and satisfies h(ck)=0 for k=2,,K. Since c1=0, it follows from (5.1) that

    g(x)=f(x)f1(x)Kk=1(1e2πia(xck)). (5.4)

    Now, observe that g(λ2)=f(λ2)=0 for all λ2Λ2Kk=1(1aZ+ck). Since gPW(S2) and since Λ2 is a set of uniqueness for PW(S2), we have g=0, and thus f(x)=f1(x)Kk=1(1e2πia(xck)) for all xR. By the assumption, it holds that 0=f(λ)=f1(λ)Kk=1(1e2πia(λck)) for all λΛ1. Note that for every λΛ1RKk=1(1aZ+ck), we have Kk=1(1e2πia(λck))0, and therefore f1(λ)=0. Since f1PW(S1) and since Λ1 is a set of uniqueness for PW(S1), we get f1=0 and arrive at f=0. Hence, Λ1Λ2 is a set of uniqueness for PW(S1S2); equivalently, E(Λ1Λ2) is complete in L2(S1S2).

    Riesz sequence. Since Λ1Λ2 is separated and since S1S2 is bounded, the system E(Λ1Λ2) is a Bessel sequence in L2(S1S2). Thus, to prove that E(Λ1Λ2) is a Riesz sequence in L2(S1S2), it is enough to show that Λ1Λ2 is a set of interpolation for PW(S1S2).

    To show this, we will fix an arbitrary b={bλ}λΛ1Λ22(Λ1Λ2) and construct a function fPW(S1S2) satisfying f(λ)=bλ for all λΛ1Λ2. Since Λ2 is a set of interpolation for PW(S2), there exists a function gPW(S2) satisfying g(λ2)=bλ2 for all λ2Λ2. Note that for any f1PW(S1), the function

    f(x)=g(x)+f1(x)Kk=1(1e2πia(xck)),xR,

    belongs in PW(S1S2) (this is seen by following the derivations (5.1)–(5.4) backwards) and satisfies f(λ2)=g(λ2)=bλ2 for λ2Λ2Kk=1(1aZ+ck). We will now choose a particular function f1PW(S1) as follows. Since Λ1 is separated and since S2 is bounded, the system E(Λ1) is a Bessel sequence in L2(S2), so that the sequence {g(λ1)}λ1Λ1 is in 2(Λ1), and so is the sequence {1Kk=1(1e2πia(λ1ck))(bλ1g(λ1))}λ1Λ1. Note that Kk=1(1e2πia(λ1ck))0 for all λ1Λ1RKk=1(1aZ+ck), and moreover, dist(Λ1,Kk=1(1aZ+ck))>0 implies that

    infλ1Λ1|Kk=1(1e2πia(λ1ck))|>0.

    Now, since Λ1 is a set of interpolation for PW(S1), there exists a function f1PW(S1) satisfying f1(λ1)=1Kk=1(1e2πia(λ1ck))(bλ1g(λ1)) for all λ1Λ1. We then have f(λ1)=bλ1 for all λ1Λ1. Hence, the function fPW(S1S2) satisfies f(λ)=bλ for all λΛ1Λ2, as desired.

    Riesz basis. This part follows immediately by combining the completeness and Riesz sequence parts.

    (a) To prove that E(Λ1) is complete in L2(S1), we will assume that fPW(S1) satisfies f(λ)=0 for λΛ1 and show that f=0. Define gPW(S1S2) by

    ˆg(ω):=ˆf(ω)supported inS1ˆf(ωa)supported inS1+aS2.

    Then, g(x)=(1e2πiax)f(x) for xR, so that g(λ)=0 for all λΛ1Λ2. Since gPW(S1S2) and since Λ1Λ2 is a set of uniqueness for PW(S1S2), we get g=0, so that f(x)=0 for all xR1aZ. Since fPW(S1) is analytic, we obtain f=0 by the uniqueness of analytic continuation. Hence, Λ1 is a set of uniqueness for PW(S1); equivalently, E(Λ1) is complete in L2(S1).

    (b) As in part (a), we will assume that fPW(S1) satisfies f(λ)=0 for λΛ1 and show that f=0. Define gPW(S1S2) by

    ˆg(ω):=ˆf1(ω)supported inS1a1ˆf1(ωa)supported inS1+aS2aKˆf1(ωKa)supported inS1+KaS2

    for some a1,,aKR satisfying a1++aK=1, so that

    g(x)=a1(1e2πiax)f(x)++aK(1e2πiKax)f(x).

    By similar arguments as in the proof of Theorem 2, the constants a1,,aKR are uniquely determined by requiring g(ck)=0 for k=2,,K. In fact, due to the uniqueness, we obtain

    g(x)=f(x)Kk=1(1e2πia(xck)).

    Now, observe that g(λ)=0 for all λΛ1Λ2. Since gPW(S1S2) and since Λ1Λ2 is a set of uniqueness for PW(S1S2), we get g=0, so that f(x)=0 for all xRKk=1(1aZ+ck). Since fPW(S1) is analytic, we obtain f=0 by the uniqueness of analytic continuation. Hence, Λ1 is a set of uniqueness for PW(S1); equivalently, E(Λ1) is complete in L2(S1).

    We will use similar arguments as in the proof of Theorem 1. The d-dimensional Fourier transform is defined as

    F[f](ω)=ˆf(ω)=Rdf(x)e2πixωdx,fL1(Rd)L2(Rd),

    so that F[] extends to a unitary operator from L2(Rd) onto L2(Rd). The Paley-Wiener space over a measurable set SRd is defined as

    PW(S):={fL2(Rd):suppˆfS}=F1[L2(S)]

    equipped with the norm fPW(S):=fL2(Rd)=ˆfL2(S). If SRd has finite measure, then every fPW(S) is continuous, and

    f(x)=Sˆf(ω)e2πixωdωfor allxRd.

    The notion of a set of uniqueness/interpolation for PW(S) with SRd is defined similarly as in Definition 15.

    Completeness. Assume that fPW(S1S2) satisfies f(λ)=0 for λΛ1Λ2. Define f1PW(S1) by ˆf1=ˆf1S1 and define gPW(S2) by

    ˆg(ω):=ˆf(ω)ˆf1(ω)supported inS2+ˆf1(ω(a1,,ad))supported inS1+(a1,,ad)S2.

    Since S2 is a bounded set, it follows that g is continuous, and g(x1,,xd)=f(x1,,xd)(1e2πi(a1x1++adxd))f1(x1,,xd) for all (x1,,xd)Rd. In particular, we have g(λ2)=f(λ2)=0 for all λ2Λ2(Γa1,,ad). Since gPW(S2) and since Λ2 is a set of uniqueness for PW(S2), we have g=0, and thus f(x1,,xd)=(1e2πi(a1x1++adxd))f1(x1,,xd) for all (x1,,xd)Rd. By the assumption, it holds that 0=f(λ1)=(1e2πi(a1,,ad)λ1)f1(λ1) for all λ1Λ1. Note that for every λ1Λ1(RdΓa1,,ad), we have e2πi(a1,,ad)λ11, and therefore f1(λ1)=0. Since f1PW(S1) and since Λ1 is a set of uniqueness for PW(S1), we get f1=0 and thus arrive at f=0. This shows that Λ1Λ2 is a set of uniqueness for PW(S1S2); hence, the system E(Λ1Λ2) is complete in L2(S1S2).

    Riesz sequence. Since Λ1Λ2 is separated and since S1S2 is bounded, the system E(Λ1Λ2) is a Bessel sequence in L2(S1S2). Thus, to prove that E(Λ1Λ2) is a Riesz sequence in L2(S1S2), it is enough to show that Λ1Λ2 is a set of interpolation for PW(S1S2).

    To show this, we will fix an arbitrary b={bλ}λΛ1Λ22(Λ1Λ2) and construct a function fPW(S1S2) satisfying f(λ)=bλ for all λΛ1Λ2. Since Λ2 is a set of interpolation for PW(S2), there exists a function gPW(S2) satisfying g(λ2)=bλ2 for all λ2Λ2. Note that for any f1PW(S1), the function

    f(x1,,xd):=g(x1,,xd)+(1e2πi(a1x1++adxd))f1(x1,,xd)

    belongs in PW(S1S2) and satisfies f(λ2)=g(λ2)=bλ2 for λ2Λ2(Γa1,,ad). We will now choose a particular function f1PW(S1) as follows. Since Λ1 is separated and since S2 is bounded, the system E(Λ1) is a Bessel sequence in L2(S2), so that the sequence {g(λ1)}λ1Λ1 is in 2(Λ1), and so is the sequence {11e2πi(a1,,ad)λ1(bλ1g(λ1))}λ1Λ1. Here, it holds that e2πi(a1,,ad)λ11 for all λ1Λ1(RdΓa1,,ad), and moreover, the condition dist(Λ1,Γa1,,ad)>0 ensures that \inf_{\lambda_1 \in \Lambda_1} | 1-e^{2\pi i (a_1, \ldots, a_d) \cdot \lambda_1} | > 0 . Now, since \Lambda_1 is a set of interpolation for PW(S_1) , there exists a function f_1 \in PW(S_1) satisfying f_1(\lambda_1) = \frac{1}{ 1-e^{2\pi i (a_1, \ldots, a_d) \cdot \lambda_1} } \big(b_{\lambda_1}-g(\lambda_1) \big) for all \lambda_1 \in \Lambda_1 . We then have f(\lambda_1) = b_{\lambda_1} for all \lambda_1 \in \Lambda_1 . This shows that the function f \in PW (S_1 \cup S_2) satisfies f(\lambda) = b_{\lambda} for all \lambda \in \Lambda_1 \cup \Lambda_2 , as desired.

    Riesz basis. By definition, a Riesz basis is a complete Riesz sequence. Hence, this part follows immediately by combining the completeness and Riesz sequence parts.

    (a) Frame. Fix any f \in L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N}) . Then, for any \lambda \in \Omega {+} c_k \; (\subset N \mathbb{Z} {+} c_k) with 1 \leq k \leq K ,

    \begin{split} \langle f, e^{2\pi i \lambda (\cdot)} \rangle_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})} & = \int_{\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N}} f(t) \, e^{- 2\pi i \lambda t} \, dt \\ & = \int_S \sum\limits_{\ell \in \mathcal{L}} f ( t {+} \tfrac{\ell}{N} ) \, e^{- 2\pi i \lambda (t + \frac{\ell}{N}) } \, dt \\ & = \int_S F_{k}(t) \, e^{- 2\pi i \lambda t} \, dt = \langle F_{k}, e^{2\pi i \lambda (\cdot)} \rangle_{L^2(S)} \end{split}

    where

    \begin{equation} F_{k}(t) : = \sum\limits_{\ell \in \mathcal{L}} f (t {+} \tfrac{\ell}{N} ) \, e^{- 2\pi i c_k \ell / N} \quad \text{for} \;\; t \in S \; (\subset [0, \tfrac{1}{N})) . \end{equation} (8.1)

    Then,

    \sum\limits_{k = 1}^K \sum\limits_{\lambda \in \Omega + c_k} |\langle f, e^{2\pi i \lambda (\cdot)} \rangle_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})}|^2 = \sum\limits_{k = 1}^K \sum\limits_{\lambda \in \Omega + c_k} |\langle F_{k}, e^{2\pi i \lambda (\cdot)} \rangle_{L^2(S)} |^2 ,

    and since E(\Omega) is a frame for L^2(S) with bounds 0 < A \leq B < \infty , we use Proposition 6 to obtain

    A \, \sum\limits_{k = 1}^K \| F_{k} \|_{L^2(S)}^2 \leq \sum\limits_{k = 1}^K \sum\limits_{\lambda \in \Omega + c_k} |\langle f, e^{2\pi i \lambda (\cdot)} \rangle_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})}|^2 \leq B \, \sum\limits_{k = 1}^K \| F_{k} \|_{L^2(S)}^2.

    Collecting (8.1) for k = 1, \ldots, K , we get

    \begin{equation} \big[ F_{k}(t) \big]_{k = 1}^K = \underbrace{\Big[ e^{- 2\pi i c_k \ell / N} \Big]_{c_k \in \mathcal{K}, \, \ell \in \mathcal{L}}}_{W_{\mathcal{K}, \mathcal{L}} \, \in\, \mathbb C^{K \times L}} \, \big[ f ( t {+} \tfrac{\ell}{N} ) \big]_{\ell \in \mathcal{L}} \quad \text{for} \;\; t \in S . \end{equation} (8.2)

    (ⅰ) If K < L , then the kernel of W_{\mathcal{K}, \mathcal{L}} \in \mathbb C^{K \times L} has dimension at least L {-} K > 0 . Fix any nontrivial vector {\boldsymbol{v}} \in \mathrm{ker} (W_{\mathcal{K}, \mathcal{L}}) \subset \mathbb C^{L} and set f \in L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N}) by [f (t {+} \frac{\ell}{N})]_{\ell \in \mathcal{L}} = {\boldsymbol{v}} for t \in S , so that \sum_{k = 1}^K \| F_{k} \|_{L^2(S)}^2 = 0 by (8.2) while \| f \|_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})}^2 = |S| \cdot \| {\boldsymbol{v}} \|_2^2 \neq 0 . Hence, the system E(\cup_{k = 1}^K \Omega {+} c_k) is not a frame for L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N}) . Note that since K < L , the matrix W_{\mathcal{K}, \mathcal{L}} \in \mathbb C^{K \times L} is not injective.

    (ⅱ) If K \geq L , then

    \begin{split} \sum\limits_{k = 1}^K |F_{k}(t)|^2 &\overset{(8.2)}{ = } \Big\| W_{\mathcal{K}, \mathcal{L}} \, \big[ f ( t {+} \tfrac{\ell}{N} ) \big]_{\ell \in \mathcal{L}} \Big\|_2^2 \\ & \overset{(K \geq L)}{\geq} \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) \cdot \sum\limits_{\ell \in \mathcal{L}} | f ( t {+} \tfrac{\ell}{N} ) |^2 \quad \text{for} \;\; t \in S . \end{split}

    Integrating both sides with respect to t gives

    \sum\limits_{k = 1}^K \| F_{k} \|_{L^2(S)}^2 \;\geq\; \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) \cdot \| f \|_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})}^2 ,

    and therefore,

    \sum\limits_{k = 1}^K \sum\limits_{\lambda \in \Omega + c_k} \big| \langle f, e^{2\pi i \lambda (\cdot)} \rangle_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})} \big|^2 \;\geq\; A \, \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) \cdot \| f \|_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})}^2 .

    This shows that if K \geq L , then E(\cup_{k = 1}^K \Omega {+} c_k) is a frame for L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N}) if and only if the (tall) matrix W_{\mathcal{K}, \mathcal{L}} \in \mathbb C^{K \times L} is injective.

    (b) Riesz sequence. For any {\boldsymbol{b}} = \{ b_\lambda \} \in \ell_2 (\cup_{k = 1}^K \Omega {+} c_k) , we set

    f = \sum\limits_{\lambda \in \cup_{k = 1}^K \Omega + c_k} b_\lambda \, e^{2\pi i \lambda (\cdot)} .

    Then, for t \in [0, \frac{1}{N}) and \ell \in \{ 0, 1, \cdots, N{-}1 \} , we have

    f ( t {+} \tfrac{\ell}{N} ) = \sum\limits_{k = 1}^K \, \sum\limits_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda (t + \frac{\ell}{N} )} = \sum\limits_{k = 1}^K e^{2\pi i c_k \ell / N} \sum\limits_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda t} .

    Collecting this equation for \ell \in \mathcal{L} , we obtain

    \begin{equation} \big[ f ( t {+} \tfrac{\ell}{N} ) \big]_{\ell \in \mathcal{L}} = \underbrace{\Big[ e^{2\pi i c_k \ell / N} \Big]_{\ell \in \mathcal{L}, \, k = 1, \ldots, K}}_{(W_{\mathcal{K}, \mathcal{L}})^* \, \in\, \mathbb C^{L \times K}} \big[ \sum\limits_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda t} \big]_{k = 1}^K . \end{equation} (8.3)

    (ⅰ) If K > L , then the kernel of (W_{\mathcal{K}, \mathcal{L}})^* \in \mathbb C^{L \times K} has dimension at least K {-} L > 0 . Fix any nontrivial vector {\boldsymbol{v}} = \{ v_k \}_{k = 1}^K \in \mathrm{ker} ((W_{\mathcal{K}, \mathcal{L}})^*) \subset \mathbb C^{K} . For each k = 1, \ldots, K , the system E(\Omega {+} c_k) is a Riesz basis for L^2(S) , so there exists a unique sequence \{ b_\lambda \} \in \ell_2 (\Omega {+} c_k) such that \sum_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda t} = v_k for a.e. t \in S . We thus obtain a nontrivial sequence {\boldsymbol{b}} = \{ b_\lambda \} \in \ell_2 (\cup_{k = 1}^K \Omega {+} c_k) satisfying

    \big[ \sum\limits_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda t} \big]_{k = 1}^K = {\boldsymbol{v}} \quad \text{for a.e.} \;\; t \in S .

    The corresponding function f satisfies \| f \|_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})}^2 = \int_S \sum_{\ell \in \mathcal{L}} | f (t {+} \frac{\ell}{N})|^2 \, dt = 0 by (8.3) while \| {\boldsymbol{b}} \|_2 \neq 0 . Hence, the system E(\cup_{k = 1}^K \Omega {+} c_k) is not a Riesz sequence in L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N}) . Note that since K > L , the matrix W_{\mathcal{K}, \mathcal{L}} \in \mathbb C^{K \times L} is not surjective.

    (ⅱ) If K \leq L , then

    \begin{split} \sum\limits_{\ell \in \mathcal{L}} \big| f ( t {+} \tfrac{\ell}{N} ) \big|^2 &\overset{(8.3)}{ = } \Big\| (W_{\mathcal{K}, \mathcal{L}})^* \, \big[ \sum\limits_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda t} \big]_{c_k \in \mathcal{K}} \Big\|_2^2 \\ &\overset{(K \leq L)}{\geq} \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) \cdot \sum\limits_{k = 1}^K \Big| \sum\limits_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda t} \Big|^2 \quad \text{for} \;\; t \in S , \end{split}

    where we used that \sigma_{\min}^2 ((W_{\mathcal{K}, \mathcal{L}})^*) = \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) . Further, integrating both sides with respect to t gives

    \begin{split} \| f \|^2_{L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N})} &\geq \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) \cdot \sum\limits_{k = 1}^K \Big\| \sum\limits_{\lambda \in \Omega + c_k} b_\lambda \, e^{2\pi i \lambda (\cdot)} \Big\|_{L^2(S)}^2 \\ &\geq \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) \cdot \sum\limits_{k = 1}^K A \, \big\| \{ b_\lambda \}_{\lambda \in \Omega + c_k} \big\|_2^2 \\ & = A \, \sigma_{\min}^2 (W_{\mathcal{K}, \mathcal{L}}) \cdot \| {\boldsymbol{b}} \|_2^2 , \end{split}

    where we used that E(\Omega) is a Riesz basis for L^2(S) with lower Riesz bound A > 0 . This shows that if K \leq L , then E(\cup_{k = 1}^K \Omega {+} c_k) is a Riesz sequence in L^2(\cup_{\ell \in \mathcal{L}} \, S{+}\frac{\ell}{N}) if and only if the (short and fat) matrix W_{\mathcal{K}, \mathcal{L}} \in \mathbb C^{K \times L} is surjective.

    (c) Riesz basis. Recall that a sequence in a separable Hilbert space is a Riesz basis if and only if it is both a frame and a Riesz sequence. Hence, this part follows immediately by combining the frame and Riesz sequence parts.

    In this paper, we addressed the problem of constructing exponential Riesz bases by combining or splitting existing ones. Through carefully designed examples, we showed that combining or splitting does not generally yield new exponential Riesz bases, highlighting the delicate nature of exponential Riesz bases. As our main results, we proved some sufficient conditions under which two exponential Riesz bases can be combined by simply taking unions of their frequency sets and domains, respectively. In addition, we discussed some generalizations of these results to higher dimensions.

    The author declares that he has not used artificial intelligence (AI) tools in the creation of this article.

    This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (RS-2023-00275360). The proof of Theorem 1 is essentially credited to David Walnut. The author would like to thank David Walnut, Goetz E. Pfander, and Andrei Caragea for fruitful and stimulating discussions. Theorem 4 is inspired by a personal communication with Laura De Carli. The author would like to thank her for helpful comments.

    The author declares no conflict of interest.



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