
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
[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 |
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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
We consider the following uncoupled system:
{uj,tt−uj,rr=0inR×(0,ℓj),uj(t,0,φj,θj)=uj(t,ℓj,φj,θj)=0fort∈R,uj(0,r,φj,θj)=uj0(r)anduj,t(0,r,φj,θj)=uj1(r)forr∈(0,ℓj),j=1,…,J. | (1) |
(As usual, the subscripts
uj0∈H10(0,ℓj)anduj1∈L2(0,ℓj),j=1,…,J, |
and the corresponding functions
We seek conditions ensuring that the linear map
(u10,u11,…,uJ0,uJ1)↦J∑j=1uj,r(⋅,0,φj,θj)vj | (2) |
of the Hilbert space
Setting
ωj,k:=kπℓj |
for brevity, the solutions of (1) are given by the formulas
uj(t,r,φj,θj)=∞∑k=1(bj,keiωj,kt+bj,−ke−iωj,kt)sin(ωj,kr),j=1,…,J |
with suitable complex coefficients
J∑j=1uj,r(t,0,φj,θj)vj=J∑j=1(∞∑k=1ωj,k(bj,keiωj,kt+bj,−ke−iωj,kt))vj. |
The linear map (2) is not always one-to-one. Indeed, if there exists a real number
{vj : there exists a kj satisfying ωj,kj=ω} |
is linearly dependent, then denoting by
∑j∈J′αjvj=0, |
the functions
uj(t,r,φj,θj):={αjeiωtsin(ωr)if j∈J′,0if j∈{1,…,J}∖J′ |
define a non-trivial solution of (1) satisfying
J∑j=1uj,r(t,0,φj,θj)vj=0for allt∈R, |
so that the linear map (2) on
A positive observability result is the following:
Theorem 2.1. Assume that
ℓj/ℓmis irrational for allj≠m. | (3) |
Then there exists a number
T0∈[2max{ℓ1,…,ℓJ},2(ℓ1+⋯+ℓJ)] |
such that the restricted linear map
(u10,u11,…,uJ0,uJ1)↦J∑j=1uj,r(⋅,0,φj,θj)vj|I |
where
Remark 1. The proof of Theorem 2.1 yields a more precise estimation of
(ⅰ) If
(ⅱ) If
(ⅲ) If all vectors
Incidentally note that if the vectors
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
ej,k(x):=√2/ℓjsin(kπxℓj),k=1,2,… |
be the usual orthonormal basis of
‖∞∑k=1ckej,k‖Ds(0,ℓj):=(∞∑k=1(kπℓj)2s|ck|2)1/2. |
Note that, identifying
D0(0,ℓj)=L2(0,ℓj),D1(0,ℓj)=H10(0,ℓj)andD−1(0,ℓj)=H−1(0,ℓj) |
with equivalent norms.
Theorem 2.2. Consider the system (1). Assume that all ratios
J∑j=1(‖uj0‖2D2−J(0,ℓj)+‖uj1‖2D1−J(0,ℓj))≤c∫I|J∑j=1uj,r(t,0,φj,θj)vj|2 dt |
for every bounded interval
Next we consider a more general system with given real numbers
{uj,tt−uj,rr+ajuj=0inR×(0,ℓj),uj(t,0,φj,θj)=uj(t,ℓj,φj,θj)=0fort∈R,uj(0,r,φj,θj)=uj0(r)anduj,t(0,r,φj,θj)=uj1(r)forr∈(0,ℓj),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,−ke−iωj,kt)sin(kπrℓj),j=1,2,…, |
where now we use the notation
ωj,k:=√(kπℓj)2+aj. |
Theorem 2.3. Assume that
(j1,k1)≠(j2,k2)⟹ωj1,k1≠ωj2,k2. | (6) |
Then the restricted linear map
(u10,u11,…,uJ0,uJ1)↦J∑j=1uj,r(⋅,0,φj,θj)vj|I | (7) |
where
Moreover, there exists a number
T0∈[2max{ℓ1,…,ℓJ},2(ℓ1+⋯+ℓJ)] |
such that the map (7) is one-to-one for every interval
Remark 2.
(ⅰ) If
(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
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,ℓj),uj(t,0,φj,θj)=uj(t,ℓj,φj,θj)=0fort∈R,uj,rr(t,0,φj,θj)=uj,rr(t,ℓj,φj,θj)=0fort∈R,uj(0,r,φj,θj)=uj0(r)anduj,t(0,r,φj,θj)=uj1(r)forr∈(0,ℓj),j=1,2,…. | (8) |
For any given initial data
(u10,u11,u20,u21,…)∈∞∏j=1(H10(0,ℓj)×H−1(0,ℓj)) | (9) |
the system has a unique solution, given by the formula
uj(t,r,φj,θj)=∞∑k=1(bj,keiωj,kt+bj,−ke−iωj,kt)sin(kπrℓj),j=1,2,…, |
where now we use the notation
ωj,k:=(kπℓj)2. |
Let us denote by
∞∑j=11ℓj(‖uj0‖2H10(0,ℓj)+‖uj1‖2H−1(0,ℓj))<∞. |
The formula
‖(u10,u11,u20,u21,…)‖2H:=∞∑j=11ℓj(‖uj0‖2H10(0,ℓj)+‖uj1‖2H−1(0,ℓj)) |
defines a Euclidean norm on
Henceforth we consider the solutions of (8) for initial data belonging to
Theorem 2.4. Assume that
(ℓj/ℓm)2is irrational for allj≠m. | (10) |
Furthermore, assume that there exists a constant
dist(kℓmℓj,Z)≥Aℓjℓm|k|for all nonzero integersk | (11) |
whenever
Then there exist a number
∞∑j=11ℓj(‖uj0‖2H10(0,ℓj)+‖uj1‖2H−1(0,ℓj))≤c∫I‖∞∑j=1uj,r(t,0,φj,θj)vj‖2 dt |
for every bounded interval
It is not obvious that there exist infinite sequences
We recall that a Perron number is a real algebraic integer
Proposition 1. The sequence
(ⅰ)
(ⅱ)
(ⅲ)
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,ℓj),uj(t,0,φj,θj)=uj(t,ℓj,φj,θj)=0fort∈R,uj(0,r,φj,θj)=uj0(r)forr∈(0,ℓj),j=1,2,… | (12) |
(we may also change some
(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
We recall some tools we need in this paper. We refer to [19] for more details and proofs. Every increasing sequence
D+=D+({ωk : k∈Z}):=limr→∞n+(r)r∈[0,∞], |
where
ωk+M−ωk≥Mγfor allk∈Z. | (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
First we state a vectorial generalization of Parseval's formula. Given two expressions
Theorem 3.1. Let
(ⅰ) The functions
are well defined in
(ⅱ) If
Proof. The scalar case
Applying the scalar case of the theorem to each integral on rifght hand side, and using the Bessel equality
for every
Remark 4. In the scalar case Beurling proved that the value
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
Theorem 3.2. Let
(ⅰ) The functions
are well defined in
(ⅱ) There exists another basis
then
and
whenever
Remark 5. The value
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
but
For each such group we define the divided differences
Then we have
with an invertible linear transformation
Furthermore, we may infer from the structure of the divided differences that
for all
We end this section by stating a consequence of Theorem 3.2 for vector valued functions.
Corollary 1. Let
(ⅰ) The functions
are well defined in
(ⅱ) If
Proof. Choosing an orthonormal basis
(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
(ii) Applying Theorem 3.2 (ii) to each integral on the right hand side of (14) we obtain that
Remark 7. Let us introduce the sets
The proof of Corollary 1 (see (14)) shows that we may replace
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
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
Lemma 4.1. The sequence
Proof. Since
has the upper density
elements of
It remains to show that
such that
Choosing
Instead of (17) now we have for every real number
We used the assumption
whenever
Choosing an orthonormal basis
(18) |
Now we need a lemma.
Lemma 5.1. Assume (11), and let
and there exists a positive constant
(19) |
whenever
Proof. If
Next we have
Thanks to the quadratic irrationality assumption and the corresponding Diophantine approximation property, with suitable constants
and the lemma follows with
Proof of (18). Introducing the sequence
(20) |
Indeed, applying for each fixed
Applying Theorem 3.2 we obtain for every bounded interval of length
Using Remark 6 hence we infer that
with
if
If we choose
whenever
This proves (20) with
We complete the proof by observing that, since
In this section we 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
Proof. The condition (10) implies (21). Since
because
where
If
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
Since the combined sequence
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
(22) |
for given positive integers
Fix an arbitrarily large positive integer
Applying Minkowski's theorem with
for
(23) |
Now it follows from the choice of
for every
Next, if
and therefore
Since
A classical result of Liouville (1844) on Diophantine approximation states that if
for all nonzero integers
Lemma 7.1. Let
Then
for all nonzero integers
Proof. We have to prove the inequality
for all
Henceforth we assume that
and therefore
We conclude the proof by showing that
and therefore
Proof of Proposition 1 (i). Since the set of Perron numbers is closed for multiplications [27],
its suffices to show that
Since
(24) |
Let us recall that Perron numbers are closed under multiplication, see for instance [27]. Therefore
Next we remark that the minimal polynomial of
Setting
The relations (24) follow by observing that the functions
are continuous in
Proof of Proposition 1 (ii). First we show that
If
Eliminating
However, since
Now we prove (11). If
so that the minimal polynomial of
Hence
with
This implies the inequality
and therefore
We conclude by observing that the last expression is
Proof of Proposition 1 (iii). Let
Since
Next we prove (11). First we observe the following imoplications:
Since
Hence
with
Hence,
and therefore (we recall that
Since the last positive lower bound is independent of the choice of
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.
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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 |