Loading [MathJax]/jax/element/mml/optable/MathOperators.js

Simultaneous observability of infinitely many strings and beams

  • Received: 01 June 2019 Revised: 01 June 2020 Published: 13 August 2020
  • Primary: 93B07; Secondary: 35L05, 74K10, 42A99

  • We investigate the simultaneous observability of infinite systems of vibrating strings or beams having a common endpoint where the observation is taking place. Our results are new even for finite systems because we allow the vibrations to take place in independent directions. Our main tool is a vectorial generalization of some classical theorems of Ingham, Beurling and Kahane in nonharmonic analysis.

    Citation: Vilmos Komornik, Anna Chiara Lai, Paola Loreti. Simultaneous observability of infinitely many strings and beams[J]. Networks and Heterogeneous Media, 2020, 15(4): 633-652. doi: 10.3934/nhm.2020017

    Related Papers:

    [1] Vilmos Komornik, Anna Chiara Lai, Paola Loreti . Simultaneous observability of infinitely many strings and beams. Networks and Heterogeneous Media, 2020, 15(4): 633-652. doi: 10.3934/nhm.2020017
    [2] Kaïs Ammari, Mohamed Jellouli, Michel Mehrenberger . Feedback stabilization of a coupled string-beam system. Networks and Heterogeneous Media, 2009, 4(1): 19-34. doi: 10.3934/nhm.2009.4.19
    [3] Zhong-Jie Han, Gen-Qi Xu . Spectrum and dynamical behavior of a kind of planar network of non-uniform strings with non-collocated feedbacks. Networks and Heterogeneous Media, 2010, 5(2): 315-334. doi: 10.3934/nhm.2010.5.315
    [4] Franco Cardin, Alberto Lovison . Finite mechanical proxies for a class of reducible continuum systems. Networks and Heterogeneous Media, 2014, 9(3): 417-432. doi: 10.3934/nhm.2014.9.417
    [5] Zhong-Jie Han, Enrique Zuazua . Decay rates for $1-d$ heat-wave planar networks. Networks and Heterogeneous Media, 2016, 11(4): 655-692. doi: 10.3934/nhm.2016013
    [6] Jose Manuel Torres Espino, Emilio Barchiesi . Computational study of a homogenized nonlinear generalization of Timoshenko beam proposed by Turco et al.. Networks and Heterogeneous Media, 2024, 19(3): 1133-1155. doi: 10.3934/nhm.2024050
    [7] Dongyi Liu, Genqi Xu . Input-output $ L^2 $-well-posedness, regularity and Lyapunov stability of string equations on networks. Networks and Heterogeneous Media, 2022, 17(4): 519-545. doi: 10.3934/nhm.2022007
    [8] Sergei Avdonin, Julian Edward . An inverse problem for quantum trees with observations at interior vertices. Networks and Heterogeneous Media, 2021, 16(2): 317-339. doi: 10.3934/nhm.2021008
    [9] Laura M. Pérez, Jean Bragard, Hector Mancini, Jason A. C. Gallas, Ana M. Cabanas, Omar J. Suarez, David Laroze . Effect of anisotropies on the magnetization dynamics. Networks and Heterogeneous Media, 2015, 10(1): 209-221. doi: 10.3934/nhm.2015.10.209
    [10] Martin Gugat, Mario Sigalotti . Stars of vibrating strings: Switching boundary feedback stabilization. Networks and Heterogeneous Media, 2010, 5(2): 299-314. doi: 10.3934/nhm.2010.5.299
  • We investigate the simultaneous observability of infinite systems of vibrating strings or beams having a common endpoint where the observation is taking place. Our results are new even for finite systems because we allow the vibrations to take place in independent directions. Our main tool is a vectorial generalization of some classical theorems of Ingham, Beurling and Kahane in nonharmonic analysis.



    In this paper we are investigating finite and infinite systems of strings or beams having a common endpoint, whose transversal vibrations may take place in different planes. We are interested in conditions ensuring their simultaneous observability and in estimating the sufficient observability time.

    There have been many results during the last twenty years on the simultaneous observability and controllability of systems of strings and beams, see e.g., [1]-[6], [11]-[12], [20], [25]. In all earlier papers the vibrations were assumed to take place in a common vertical plane. Here, we still assume that each string or beam is vibrating in some plane, but these planes may differ from one another. This leads to important new difficulties, requiring vectorial generalizations of clasical Ingham type theorems. Our approach also allows us to consider infinite systems of strings or beams, which requires a deeper study of the overall density of the union of all corresponding eigenfrequencies.

    For a general introduction to the controllability of PDE's we refer to [22,23] or [18]. The approach of the present paper is based on some classical results of Ingham [14], Beurling [9] and Kahane [17] on nonharmonic analysis. Some of the first applications to control thery were given in the papers of Ball and Slemrod [7] and Haraux [13]. We refer to [19] for a general introduction.

    The paper is organized as follows. Section 2 is devoted to the statement of our main results. In Section 3 we briefly recall out harmonic analysis tools on which the proofs of our main theorems are based. The remaining part of the paper is devoted to the proofs of the results. In particular, the theorems concerning the observability of string systems (Theorems 2.1, 2.2 and 2.3) are proved in Sections 4 and 5. In Section 6 we prove Theorem 2.4 on the observability of infinite beam systems under some algebraic conditions on the lengths of the beams. Finally in Section 7 we prove Proposition 1 providing many examples where the hypotheses of Theorem 2.4 are satisfied.

    In what follows we state our main results on the simultaneous observability of string and beam systems.

    We consider a system of J< vibrating strings of length j, 1jJ. The problem is set in the spherical coordinate system (r,φ,θ)[0,)×R×(π2,π2]. The direction of the j-th string is dj:=(j,φj,θj): this, together with an unit vector vj in R3 orthogonal to dj, is fixed by initial data. The transversal displacement of the j-th string at time t and at the point (r,φj,θj) for r[0,j] is denoted by uj(t,r,φj,θj)vj.

    We consider the following uncoupled system:

    {uj,ttuj,rr=0inR×(0,j),uj(t,0,φj,θj)=uj(t,j,φj,θj)=0fortR,uj(0,r,φj,θj)=uj0(r)anduj,t(0,r,φj,θj)=uj1(r)forr(0,j),j=1,,J. (1)

    (As usual, the subscripts t and r denote differentiations with respect to these variables.) It is well-known that the system is well posed for

    uj0H10(0,j)anduj1L2(0,j),j=1,,J,

    and the corresponding functions tuj,r(t,0,φj,θj) are locally square integrable ("hidden regularity").

    We seek conditions ensuring that the linear map

    (u10,u11,,uJ0,uJ1)Jj=1uj,r(,0,φj,θj)vj (2)

    of the Hilbert space H:=Jj=1H10(0,j)×L2(0,j) into L2loc(R;R3) is one-to-one. If this is so, then we would also like to obtain more precise, quantitative norm estimates.

    Setting

    ωj,k:=kπj

    for brevity, the solutions of (1) are given by the formulas

    uj(t,r,φj,θj)=k=1(bj,keiωj,kt+bj,keiωj,kt)sin(ωj,kr),j=1,,J

    with suitable complex coefficients bj,±k, and

    Jj=1uj,r(t,0,φj,θj)vj=Jj=1(k=1ωj,k(bj,keiωj,kt+bj,keiωj,kt))vj.

    The linear map (2) is not always one-to-one. Indeed, if there exists a real number ω such that the set of vectors

    {vj : there exists a kj satisfying ωj,kj=ω}

    is linearly dependent, then denoting by J the set of the corresponding indices j and choosing a nontrivial (finite) linear combination

    jJαjvj=0,

    the functions

    uj(t,r,φj,θj):={αjeiωtsin(ωr)if jJ,0if j{1,,J}J

    define a non-trivial solution of (1) satisfying

    Jj=1uj,r(t,0,φj,θj)vj=0for alltR,

    so that the linear map (2) on H is not one-to-one.

    A positive observability result is the following:

    Theorem 2.1. Assume that

    j/mis irrational for alljm. (3)

    Then there exists a number

    T0[2max{1,,J},2(1++J)]

    such that the restricted linear map

    (u10,u11,,uJ0,uJ1)Jj=1uj,r(,0,φj,θj)vj|I

    where u1,,uJ are solutions of (1), is one-to-one for every interval I of length >T0, and for no interval I of length <T0.

    Remark 1. The proof of Theorem 2.1 yields a more precise estimation of T0 in some special cases (see Remark 7 below). We give three examples.

    (ⅰ) If J=3 and v1,v2,v3 are mutually orthogonal, then T0=2max{1,2,3}, see Figure 1-(i).

    Figure 1.  A system of three strings with vibration planes pj spanned by dj:=(j,ϕj,θj) and vjdj, j=1,2,3. In (i) 1=2=3=1, the vj's are pairwise orthogonal, and v1=d3, v2=d1, v3=d2. We have T0=2max{1,2,3}=2. In (ii), we have 1=3=1, 2=2/(2+2) and v1=d3d1=v2=v3. Then T0=2max{1+2,3}3.1715. In the planar case (iii) we have 1=1, 2=2/(2+2) and 3=2/(4+2), so that T0=2max{1+2+3}3.9103.

    (ⅱ) If J=3 and v1v2=v3, then T0=2max{1+2,3}, see Figure 1-(ii).

    (ⅲ) If all vectors vj are equal (we call this the planar case), then T0=2(1++J)– see Figure 1-(iii). Thus we recover an earlier theorem in [5,6] by using Fourier series. It was also proved in [11] by a method based on d'Alembert's formula. The method of Fourier series enables us to consider more general equations of the type uj,ttuj,rr+ajuj=0 in (1) with arbitrary nonnegative constants (d'Alembert's formulas cannot be generalized to the case where aj0). Moreover, we may even consider infinitely many strings.

    Incidentally note that if the vectors vj are linearly independent then we do not need the assumption (3). But this may only happen if we have at most three vectors, while the interest of the present paper is to have many, maybe even infinitely many strings or beams, and thus many vectors vj.

    Under some further assumptions on the lengths of the strings we may also get explicit norm estimates. We adopt the following notations. For each fixed j1, let

    ej,k(x):=2/jsin(kπxj),k=1,2,

    be the usual orthonormal basis of L2(0,j). We denote by Ds(0,j) the Hilbert spaces obtained by completion of the linear hull of (ej,k) with respect to the Euclidean norm

    k=1ckej,kDs(0,j):=(k=1(kπj)2s|ck|2)1/2.

    Note that, identifying L2(0,j) with its dual, we have

    D0(0,j)=L2(0,j),D1(0,j)=H10(0,j)andD1(0,j)=H1(0,j)

    with equivalent norms.

    Theorem 2.2. Consider the system (1). Assume that all ratios j/m with jm are quadratic irrational numbers. Then there exists a constant c>0 such that the solutions of (4) satisfy estimates

    Jj=1(uj02D2J(0,j)+uj12D1J(0,j))cI|Jj=1uj,r(t,0,φj,θj)vj|2 dt

    for every bounded interval I of length |I|>2Jj=1j.

    Next we consider a more general system with given real numbers aj0, and j>0:

    {uj,ttuj,rr+ajuj=0inR×(0,j),uj(t,0,φj,θj)=uj(t,j,φj,θj)=0fortR,uj(0,r,φj,θj)=uj0(r)anduj,t(0,r,φj,θj)=uj1(r)forr(0,j),j=1,2,,J. (4)

    For any given initial data

    (u10,u11,,uJ0,uJ1)H (5)

    the system has a unique solution, given by the formula

    uj(t,r,φj,θj)=k=1(bj,keiωj,kt+bj,keiωj,kt)sin(kπrj),j=1,2,,

    where now we use the notation

    ωj,k:=(kπj)2+aj.

    Theorem 2.3. Assume that

    (j1,k1)(j2,k2)ωj1,k1ωj2,k2. (6)

    Then the restricted linear map

    (u10,u11,,uJ0,uJ1)Jj=1uj,r(,0,φj,θj)vj|I (7)

    where u1,,uJ are solutions of (4), is well defined and continuous from H into L2(I;R3) for every bounded interval I.

    Moreover, there exists a number

    T0[2max{1,,J},2(1++J)]

    such that the map (7) is one-to-one for every interval I of length >T0, and for no interval of length <T0.

    Remark 2.

    (ⅰ) If aj=0 for all j, then the condition (6) is equivalent to (3).

    (ⅱ) We may wonder whether Theorems 2.1, 2.2 and 2.3 remain valid for infinite string systems having a finite total length if the observability time is greater than 2j=1j. we will show in Remark 8 below that our proofs cannot be adapted to prove such results.

    Our approach may be adapted to systems of hinged beams. Moreover, we may even consider systems of infinitely many beams. We consider the following system:

    {uj,tt+uj,rrrr=0inR×(0,j),uj(t,0,φj,θj)=uj(t,j,φj,θj)=0fortR,uj,rr(t,0,φj,θj)=uj,rr(t,j,φj,θj)=0fortR,uj(0,r,φj,θj)=uj0(r)anduj,t(0,r,φj,θj)=uj1(r)forr(0,j),j=1,2,. (8)

    For any given initial data

    (u10,u11,u20,u21,)j=1(H10(0,j)×H1(0,j)) (9)

    the system has a unique solution, given by the formula

    uj(t,r,φj,θj)=k=1(bj,keiωj,kt+bj,keiωj,kt)sin(kπrj),j=1,2,,

    where now we use the notation

    ωj,k:=(kπj)2.

    Let us denote by H the vector space of those sequences (9) that satisfy the condition

    j=11j(uj02H10(0,j)+uj12H1(0,j))<.

    The formula

    (u10,u11,u20,u21,)2H:=j=11j(uj02H10(0,j)+uj12H1(0,j))

    defines a Euclidean norm on H for which H becomes a Hilbert space.

    Henceforth we consider the solutions of (8) for initial data belonging to H.

    Theorem 2.4. Assume that

    (j/m)2is irrational for alljm. (10)

    Furthermore, assume that there exists a constant A>0 such that

    dist(kmj,Z)Ajm|k|for all nonzero integersk (11)

    whenever jm.

    Then there exist a number T00 and a constant c>0 such that the solutions of (8) satisfy the relation

    j=11j(uj02H10(0,j)+uj12H1(0,j))cIj=1uj,r(t,0,φj,θj)vj2 dt

    for every bounded interval I of length >T0, where uj with j=1,2, are the solutions of (8).

    It is not obvious that there exist infinite sequences (j) satisfying (10) and (11). We give three different examples.

    We recall that a Perron number is a real algebraic integer q of degree 2 whose conjugates are all smaller than q in absolute value. For example, the Golden Ratio q1.618 and more generally the Pisot and Salem numbers are Perron numbers. In what follows we use the symbol [x] to denote the lower integer part of x.

    Proposition 1. The sequence (j)j=1 satisfies (10) and (11) in the following three cases:

    (ⅰ) q is a quadratic Perron number and j=qj;

    (ⅱ) j=12j+2;

    (ⅲ) j=πj+1+2.

    Remark 3.

    (ⅰ) The conclusion of Theorem 2.4 remains valid for systems of Schrödinger equations of the form

    {uj,t+iuj,rr=0inR×(0,j),uj(t,0,φj,θj)=uj(t,j,φj,θj)=0fortR,uj(0,r,φj,θj)=uj0(r)forr(0,j),j=1,2, (12)

    (we may also change some uj,t+iuj,rr=0 to uj,tiuj,rr=0 for some or all indices j) because every solution of (12) also satisfies (8): see, e.g., [18,Section 6.4,p. 82].

    (ⅱ) The beams in Proposition 1 (iii) have an infinite total length. Since we have an infinite propagation speed for beams (see [18,Theorem 6.7]), this does not exclude the observability of the system.

    (ⅲ) We conjecture that T0=0 in all cases covered by Proposition 1.

    We recall some tools we need in this paper. We refer to [19] for more details and proofs. Every increasing sequence (ωk)kZ of real numbers has an upper density

    D+=D+({ωk : kZ}):=limrn+(r)r[0,],

    where n+(r) denotes the largest number of terms of the sequence (ωk)kZ contained in an interval of length r. It is shown in [6,Proposition 1.4] that the upper density is finite if and only if the following weakened gap condition is satisfied: there exists an integer M1 and a real number γ>0 such that

    ωk+MωkMγfor allkZ. (13)

    (This proposition is crucial for enabling us to consider infinite string and beam systems.)

    If the sequence is uniformly separated, i.e., if (13) is satisfied with M=1 (uniform gap condition), then D+1γ.

    First we state a vectorial generalization of Parseval's formula. Given two expressions A(u) and B(u) depending on the solutions henceforth we write A or if with some constant , independent of the choice of the particular solution. Furthermore, we write if and .

    Theorem 3.1. Let be a uniformly separated increasing sequence with upper density , a sequence of unit vectors in some complex Hilbert space , and a bounded interval of length .

    (ⅰ) The functions

    are well defined in for all square summable sequences of complex numbers, and

    (ⅱ) If , then the inverse inequality also holds:

    Proof. The scalar case is classical, due to Ingham [14] and Beurling [9]; see also [17] for higher-dimensional generalizations. In the general case we choose an orthonormal basis of the linear hull of in , and we write with suitable complex numbers . Then we have

    Applying the scalar case of the theorem to each integral on rifght hand side, and using the Bessel equality

    for every , the theorem follows.

    Remark 4. In the scalar case Beurling proved that the value is the best possible. In the vectorial case the best possible value may be smaller: see [8].

    Next we recall from [6] (see also [19,Theorem 9.4]) a generalization of the scalar case of Theorem 3.1 for arbitrary increasing sequences having a finite upper density:

    Theorem 3.2. Let be an increasing sequence with a finite upper density , and a bounded interval of length .

    (ⅰ) The functions

    are well defined in for all square summable sequences of complex numbers, and

    (ⅱ) There exists another basis of the linear span of the functions such that if we rewrite the functions in this basis:

    then

    and

    whenever .

    Remark 5. The value is still the best possible: see [25].

    Remark 6. In fact, the theorem in [6] is more precise because the new basis is explicitly defined by Newton's formula of divided differences. Hence there is an estimate between the coefficients and . To explain this, let be an increasing sequence satisfying the weakened gap condition (13), and fix arbitrarily. Then we may partition the sequence into disjoint finite subsequences with , such that

    but

    For each such group we define the divided differences of the exponential functions by the formula

    Then we have

    with an invertible linear transformation

    Furthermore, we may infer from the structure of the divided differences that whenever , and there exists a constant such that

    for all with .

    We end this section by stating a consequence of Theorem 3.2 for vector valued functions.

    Corollary 1. Let be an increasing sequence with a finite upper density , a sequence of unit vectors in some complex Hilbert space , and a bounded interval of length .

    (ⅰ) The functions

    are well defined in for all square summable sequences of complex numbers, and

    (ⅱ) If for all for some interval of length , then all coefficients vanish.

    Proof. Choosing an orthonormal basis of the linear hull of , and writing with suitable complex numbers as in the proof of Theorem 3.1, we have

    (14)

    and

    (15)

    for every .

    (i) Applying Theorem 3.2 (i) to each integral on the right hand side of (14), and using (15), we have

    We have used here the fact that the hidden constants in the relations do not depend on because we apply Theorem 3.2 for the same exponent sequence .

    (ii) Applying Theorem 3.2 (ii) to each integral on the right hand side of (14) we obtain that for all and . Since for all , for each there exists such that , and therefore .

    Remark 7. Let us introduce the sets

    The proof of Corollary 1 (see (14)) shows that we may replace by

    We only prove Theorem 2.3 because Theorem 2.1 is similar and simpler. It follows by an elementary consideration using translation invariance that there exists a value such that the uniqueness property in Theorem 2.3 holds on every interval of length , and it fails on every interval of length .

    We recall that the solution of (4) have the form

    with

    Hence

    (16)

    Furthermore, we obtain by a direct computation that

    and

    whence

    (17)

    (We have an equality if for all .) Thanks to assumption (6) we may combine all exponents into a unique increasing sequence . Setting if , the theorem will follow from (16) and (17) with some by applying Corollary 1 and the following

    Lemma 4.1. The sequence has a finite upper density .

    Proof. Since as , each set

    has the upper density . Moreover, every interval of length contains

    elements of . Therefore

    It remains to show that for every . For any fixed , given an arbitrary interval of length , by a well-known classical result (see for instance [18,Ch. 3]) on the one-dimensional wave equation there exists a non-trivial solution of the problem

    such that

    Choosing to be identically zero for all , we obtain a non-trivial solution of the system (4) for which the right hand side of (7) vanishes on .

    Instead of (17) now we have for every real number the following equality by a direct computation:

    We used the assumption implying that . In view of (16) we have to find a real number such that

    whenever . Setting we may rewrite it in the form

    Choosing an orthonormal basis of the linear hull of as in the proof of Theorem 3.1 and writing , this is equivalent to

    (18)

    Now we need a lemma.

    Lemma 5.1. Assume (11), and let . Then

    and there exists a positive constant such that

    (19)

    whenever .

    Proof. If for some , then, since the sequence has a uniform gap , we have , and therefore . This proves the first implication.

    Next we have

    Thanks to the quadratic irrationality assumption and the corresponding Diophantine approximation property, with suitable constants we have

    and the lemma follows with

    Proof of (18). Introducing the sequence as in the preceding section, it suffices to show that

    (20)

    Indeed, applying for each fixed this estimate with where , (18) will follow because .

    Applying Theorem 3.2 we obtain for every bounded interval of length the relation

    Using Remark 6 hence we infer that

    with

    if for some finite sequence of length in the partition of Remark 6, and otherwise.

    If we choose in Remark 6, and then we apply Lemma 5.1 with , then we get

    whenever for some finite sequence of length . Since and as , this remains valid also by including the values of for which , so that

    This proves (20) with .

    We complete the proof by observing that, since is the union of uniformly separated sequences, we may choose in the application of Remark 6: if is chosen small enough, then no chain of close exponents can contain more than one exponent corresponding to each string, so that it contains at most elements.

    In this section we set for brevity, and we denote by the increasing enumeration of the elements of the set .

    We need a variant of Lemma 5.1.

    Lemma 6.1. Under the conditions of Theorem 2.4 we have

    (21)

    and the combined sequence is uniformly separated.

    Proof. The condition (10) implies (21). Since , and

    because , it suffices to show that

    where is the positive constant in Lemma 5.1. If , then this follows from the inequality

    If , then applying Lemma 5.1 we have

    Proof of Theorem 2.4. We proceed as in the proof of Theorem 2.2, by taking

    Then (16) remains valid by replacing the sums by , while (17) is replaced by the equality

    Since the combined sequence is uniformly separated by Lemma 6.1, it has a finite upper density . Therefore the theorem follows by applying Corollary 1 with .

    Remark 8. We show that the crucial Lemma 6.1 and Theorem 2.4 have no counterparts for infinite string systems. For this we show that if is an infinite sequence of positive numbers such that is irrational for all , then the sequence formed by the numbers with and is not uniformly separated, and it even has an infinite upper density. We need the following theorem of Minkowski [10,Corollary 3,p. 151] concerning a system of inequalities

    (22)

    for given positive integers , and real numbers with : if , or and , then there are integers , not all zero, such that (22) is satisfied.

    Fix an arbitrarily large positive integer , and a positive number

    Applying Minkowski's theorem with , and

    for , we obtain that there exist integers , not all zero, such that

    (23)

    Now it follows from the choice of that all integers are different from zero. Indeed, if , then

    for every , so that all integers also vanish, contradicting our choice.

    Next, if for some , then

    and therefore . This leads to the contradiction as before.

    Since , we infer from (23) that for all , and a fortiori for all . Since was arbitrary, hence for all , and therefore .

    A classical result of Liouville (1844) on Diophantine approximation states that if is an algebraic number of degree , then there exists a constant such that

    for all nonzero integers . We shall need an explicit value of in case .

    Lemma 7.1. Let be a non purely quadratic irrational number, i.e., having as minimal polynomial , with , . Set and

    Then

    for all nonzero integers .

    Proof. We have to prove the inequality

    for all , . The inequality is obvious if the left hand side is .

    Henceforth we assume that . First we observe that, since has integer coefficients, . Next, by the mean value theorem there exists a real number between and such that

    and therefore

    We conclude the proof by showing that . We have

    and therefore

    Proof of Proposition 1 (i). Since the set of Perron numbers is closed for multiplications [27], is irrational for every positive integer , and hence also for every nonzero integer . Therefore, fixing arbitrarily, is a non purely quadratic irrational number as well, thus it satisfies the assumptions of Lemma 7.1. Since

    its suffices to show that

    Since and , setting is suffices to show that

    (24)

    Let us recall that Perron numbers are closed under multiplication, see for instance [27]. Therefore is a quadratic Perron number and, consequently, its minimal polynomial has the form with integers and satisfying . Therefore we have and

    Next we remark that the minimal polynomial of is and it has the same discriminant . Therefore

    Setting we have , so that

    The relations (24) follow by observing that the functions

    are continuous in , positive, and have positive limits at , and hence they are bounded from below by some positive constants.

    Proof of Proposition 1 (ii). First we show that is irrational for all . We may asume that . A straightforward computation yields the equality

    If were rational, then the irrationality of would imply the equalities

    Eliminating hence we would infer that

    However, since , we have

    Now we prove (11). If , then satisfies the relations

    so that the minimal polynomial of is

    Hence

    with

    This implies the inequality

    and therefore

    We conclude by observing that the last expression is for all . Indeed, assuming by symmetry that , we have

    Proof of Proposition 1 (iii). Let for some , . First we prove (10). We have

    Since by our assumptions on and , we conclude that is irrational.

    Next we prove (11). First we observe the following imoplications:

    Since is irrational by the first part of the proof, it follows that the minimal polynomial of is

    Hence

    with

    Hence,

    and therefore (we recall that )

    Since the last positive lower bound is independent of the choice of and , the condition (11) follows by Lemma 7.1.

    Applying Theorem 2.4 we conclude the observability relations for some .

    Part of this work was done during the visit of the first author at the Dipartimento di Scienze di Base e Applicate per l'Ingegneria of the Sapienza Università di Roma. He thanks the colleagues at the department for their hospitality. The first author was also supported by the grant NSFC No. 11871348.

    The authors are indebted to an anonymous referee, whose detailed suggestions led to a deeper insight and a consequent correction of one of the main theorems and, in particular, to Remark 8.



    [1] Stabilization of star-shaped networks of strings,. Differential Integral Equations (2004) 17: 1395-1410.
    [2] Stability of a tree-shaped network of strings and beams,. Math. Methods Appl. Sci. (2018) 41: 7915-7935.
    [3] K. Ammari and S. Nicaise, Stabilization of Elastic Systems by Collocated Feedback,, Lecture Notes in Mathematics, 2124. Springer, Cham, 2015. doi: 10.1007/978-3-319-10900-8
    [4] Ingham type theorems and applications to control theory. Bol. Un. Mat. Ital. B (1999) 2: 33-63.
    [5] Généralisation d'un théorème de Beurling et application à la théorie du contrôle. C. R. Acad. Sci. Paris Sér. I Math. (2000) 330: 281-286.
    [6] Ingham–Beurling type theorems with weakened gap conditions. Acta Math. Hungar. (2002) 97: 55-95.
    [7] Nonharmonic Fourier series and the stabilization of distributed semilinear control systems,. Comm. Pure Appl. Math. (1979) 32: 555-587.
    [8] A vectorial Ingham–Beurling theorem. Ann. Univ. Sci. Budapest. Eötvös Sect. Math. (2010) 53: 17-32.
    [9] A. Beurling, Interpolation for an Interval in , in The Collected Works of Arne Beurling, Vol. 2. Harmonic Analysis (eds. L. Carleson, P. Malliavin, J. Neuberger and J. Wermer) Contemporary Mathematicians. Birkhäuser Boston, Inc., Boston, MA, 1989.
    [10] (1957) An Introduction to Diophantine Approximation. New York: Cambridge Tracts in Mathematics and Mathematical Physics, No. 45. Cambridge University Press.
    [11] Controllability of star-shaped networks of strings. C. R. Acad. Sci. Paris Sér. I Math. (2001) 332: 621-626.
    [12] R. Dáger and E. Zuazua, Wave Propagation, Observation and Control in 1-d Flexible Multi-structures, , Springer Science & Business Media, Vol. 50, Springer-Verlag, Berlin, 2006. doi: 10.1007/3-540-37726-3
    [13] Séries lacunaires et contrôle semi-interne des vibrations d'une plaque rectangulaire. J. Math. Pures Appl. (1989) 68: 457-465.
    [14] Some trigonometrical inequalities with applications in the theory of series. Math. Z. (1936) 41: 367-379.
    [15] On a theorem of Ingham. Dedicated to the memory of Richard J. Duffin. J. Fourier Anal. Appl. (1997) 3: 577-582.
    [16] Singular internal stabilization of the wave equation. J. Differential Equations (1998) 145: 184-215.
    [17] Pseudo-périodicité et séries de Fourier lacunaires. Ann. Sci. de l'E.N.S. (1962) 79: 93-150.
    [18] V. Komornik, Exact Controllability and Stabilization. The Multiplier Method, Collection RMA, vol. 36, Masson–John Wiley, Paris–Chicester, 1994.
    [19] V. Komornik and P. Loreti, Fourier Series in Control Theory, Springer-Verlag, New York, 2005.
    [20] Multiple-point internal observability of membranes and plates. Appl. Anal. (2011) 90: 1545-1555.
    [21] J. E. Lagnese, G. Leugering and E. J. P. G. Schmidt, Modeling, Analysis and Control of Dynamic Elastic Multi-Link Structures, Systems & Control: Foundations & Applications, Birkhäuser Boston, Inc., Boston, MA, 1994. doi: 10.1007/978-1-4612-0273-8
    [22] Exact controllability, stabilizability, and perturbations for distributed systems. Siam Rev. (1988) 30: 1-68.
    [23] J.-L. Lions, Contrôlabilité Exacte et Stabilisation de Systèmes Distribués I-II, Masson, Paris, 1988.
    [24] P. Loreti, On some gap theorems, European Women in Mathematics–Marseille 2003, 39–45, CWI Tract, 135, Centrum Wisk. Inform., Amsterdam, 2005.
    [25] Critical length for a Beurling type theorem. Bol. Un. Mat. Ital. B (2005) 8: 251-258.
    [26] E. Sikolya, Simultaneous observability of networks of beams and strings, Bol. Soc. Paran. Mat., 21 (2003), 31–41. doi: 10.5269/bspm.v21i1-2.7505
    [27] The smallest Perron numbers,. Mathematics of Computation (2010) 79: 2387-2394.
  • This article has been cited by:

    1. Anna Chiara Lai, Paola Loreti, Michel Mehrenberger, Observability of a string-beams network with many beams, 2023, 29, 1292-8119, 61, 10.1051/cocv/2023054
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1943) PDF downloads(388) Cited by(1)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog