Blow up of the solutions to a linear elliptic system involving Schr{\"o}dinger operators
B Alziary (IMT), J Fleckinger

TL;DR
This paper investigates the blow-up behavior of solutions to a 2x2 linear elliptic system involving Schr{"o}dinger operators as a parameter approaches a critical eigenvalue, considering potentials with superquadratic growth.
Contribution
It provides a detailed analysis of solution blow-up in a linear elliptic system with Schr{"o}dinger operators, including cases with double eigenvalues and superquadratic potentials.
Findings
Solutions blow up as the parameter approaches the principal eigenvalue.
The analysis covers systems with constant coefficient matrices and superquadratic potentials.
The behavior is characterized near the critical eigenvalue.
Abstract
We show how the solutions to a linear system involving Schr{\"o}dinger operators blow up as the parameter tends to some critical value which is the principal eigenvalue of the system; here the potential is continuous positive with superquadratic growth and the square matrix of the system is with constant coefficients and may have a double eigenvalue.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpectral Theory in Mathematical Physics · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
Blow up of the solutions to a linear elliptic
system involving Schrödinger operators
B.Alziary
J.Fleckinger
Institut de Mathématique, UMR5219
Ceremath - Université Toulouse 1
Abstract We show how the solutions to a linear system involving Schrödinger operators blow up as the parameter tends to some critical value which is the principal eigenvalue of the system; here the potential is continuous positive with superquadratic growth and the square matrix of the system is with constant coefficients and may have a double eigenvalue.
1 Introduction
We study here the behavior of the solutions to a system (considered in its variational formulation):
[TABLE]
[TABLE]
where is a continuous positive potential tending to at infinity with superquadratic growth; is a column vector with components and and is a square matrix with constant coefficients. is a column vector with components and .
Such systems have been intensively studied mainly for and for with 2 distinct eigenvalues; here we consider also the case of a double eigenvalue. In both cases, we show the blow up of solutions as tends to some critical value which is the principal eigenvalue of System . This extends to systems involving Schrödinger operators defined on earlier results valid for systems involving the classical Laplacian defined on smooth bounded domains with Dirichlet boundary conditions.
This paper is organized as follows: In Section 2 we recall known results for one equation. In Section 3 we consider first the case where has two different eigenvalues and then we study the case of a double eigenvalue.
2 The equation
We shortly recall the case of one equation
[TABLE]
[TABLE]
is a real parameter. Hypotheses
is a positive continuous potential tending to at infinity.
, and on some subset with positive Lebesgue measure.
It is well knwon that if is satisfied, possesses an infinity of eigenvalues tending to : Notation: Denote by the smallest eigenvalue of ; it is positive and simple and denote by the associated eigenfunction, positive and with -norm . It is classical ([15], [19]) that if and the positivity is improved, or in other words, the maximum principle (MP) is satisfied:
[TABLE]
Lately, for potentials growing fast enough (faster than the harmonic oscillator), another notion has been introduced ([4], [5], [9], [10]) which improves the maximum (or antimaximum principle): the ”groundstate positivity” (GSP) (resp. ” negativity” (GSN)) which means that there exists such that
(GSP) (resp. (GSN))
.
We also say shortly ”fundamenal positivity” or” negativity”, or also ”-positivity” or ”negativity”.
The first steps in this direction use a radial potential. Here we consider a small perturbation of a radial one as in [9]. The potential We define first a class of radial potentials:
[TABLE]
The last inequality holds if is growing sufficiently fast (). Now we give results of GSP or GSN for a potential which is a small perturbation of ; we assume:
satisfies and there exists two functions and in , and two positive constants and such that
[TABLE]
[TABLE]
Denoting by (resp. ) the groundstate of (resp. ), Corollary 3.3 in [9] says that all these groundstates are ”comparable” that is there exists constants such that . Finally
Theorem 1
(GSP) ([9]) If and are satisfied, then, for , there is a unique solution to which is positive, and there exists a constant , such that
[TABLE]
Moreover, if also with some constant , then
[TABLE]
The space It is convenient for several results to introduce the space of ”groundstate bounded functions”:
[TABLE]
equipped with the norm .
For a potential satisfying and a function , there is also a result of ”groundstate negativity” (GSN) for ; it is is an extension of the antimaximum principle, introduced by Clément and Peletier in 1978 ([13]) for the Laplacian when the parameter crosses .
Theorem 2
(GSN) ([9] ) Assume and are satisfied and ; then there exists and a positive constant such that for all ,
[TABLE]
Remark 1
This holds also if we only assume
**Hypothesis ** We consider now functions which are such that
: and .
Theorem 3
- Assume and are satisfied. Then there exists such that for there exists positive constants and , depending on and such that*
[TABLE]
If , there exists positive constants and , depending on and such that
[TABLE]
This result extends earlier one in [17] and a a close result is Theorem 2.03 in [11]. It shows in particular that and as .
Proof: Decompose and on and its orthogonal:
[TABLE]
We derive from :
[TABLE]
[TABLE]
We notice that since is smooth; so is . Also, since , , and are also in and hence are bounded. Choose and assume . We derive from Equation (11) (by [6]Thm 3.2) that : . Therefore is bounded by some .
From Equation (12) we derive
[TABLE]
Choose small enough and . Hence
[TABLE]
For . we do exactly the same, except that the signs are changed for in .
3 A Linear system
Consider now a linear system with constant coefficients.
[TABLE]
As above, where the potential satisfies , and where is a real parameter. can be detailed as 2 equations:
[TABLE]
[TABLE]
Assume
[TABLE]
Note that does not play any role since we can always change the order of the equations.
The eigenvalues of are
[TABLE]
As far as we know, all the previous studies suppose that the largest eigenvalue is simple (i.e. ). Here we also study, in the second subsection, the case of a double eigenvalue , that is ; this implies necessarily and necessarily the matrix is not cooperative.
3.1 Case
This is the classical case where is simple. Set . The eigenvectors are
[TABLE]
Set .
As above, denote by , , the principal eigenpair of the operator .
It is easy to see that
[TABLE]
Hence
[TABLE]
is the principal eigenvalue of with associated eigenvector . Note that the components of do not change sign, but, in the case of a non cooperative matrix they are not necessarily both positive. We prove:
Theorem 4
- Assume and ; and satisfy ; assume also and . If*
[TABLE]
there exists , independant of , such that if , there exists a positive constant depending only on such that
[TABLE]
If , the sign are reversed:
[TABLE]
Remark 2
If and are satisfied; if and satisfy as in Theorem 4, but if we have, if and
[TABLE]
Remark 3
It is noticeable that for all these cases, , as .
These results extend Theorem 4.2 in [4].
**Proof: ** As in [3], we use the associated Jordan matrix (which in this case is diagonal) and the change of basis matrix which are such that
[TABLE]
Here
[TABLE]
[TABLE]
Denoting and , we derive from System (after multiplication by to the left):
[TABLE]
Since is diagonal we have two independant equations:
[TABLE]
The projection on and on its orthogonal for and gives
[TABLE]
hence
[TABLE]
[TABLE]
If both verify , they are are in and bounded and hence both are bounded; therefore, by (20) both are also bounded.
We derive from (19) that
[TABLE]
Consider again Equation (19) for ; obviously, stays bounded as and therefore stays bounded. .
For , as , since ,; this is the condition which appears in Theorem 4. Then, we simply apply Theorem 3 to (18) for and deduce that there existes , such that, for , there exists a positive constant such that . Now, it follows from , that
[TABLE]
As , since stays bounded, behaves as , as . More precisely, if small enough
[TABLE]
where is a positive constant depending only on .
Remark 4
Indeed, we always assume that , hence for small enough. For the sign of we remark that and have the same sign.
3.2 Case
Consider now the case where the coefficients of the matrix satisfy and
[TABLE]
Of course this implies and since , then : we have a non cooperative system. Now . We prove here
Theorem 5
Assume and with ; assume also that satisfy and :
[TABLE]
If , , small enough, there exists a positive constant such that
[TABLE]
If , ( small enough), there exists a positive constant such that
[TABLE]
Remark 5
Note that the condition in the theorem above is the same than in theorem 4 , since in theorem 5 .
Prrof The eigenvector associated to eigenvalue is
[TABLE]
The vector is thus an eigenvector for ,
[TABLE]
We use again the associated Jordan matrix and the change of basis matrix; we have
[TABLE]
Here
[TABLE]
[TABLE]
As above, setting and , we derive from System
[TABLE]
We do not have anymore a decoupled system but
[TABLE]
If (that is ) and if and satisfies , hence are in and . By Theorem 3 applied to the second equation, there exists a constant , such that . Hence, for small enough fo any , and is in ; then again Theorem 3 for the first equation implies that there exists a constant , such that .
Since here ., there exists a constant ,
[TABLE]
Again as and as .
If ( and small enough we have analogous calculation with signs reversed.
Remark 6
The results in theorem 5 coincide with those of theroem 4 in the case .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A.Abakhti-Machachti Systèmes semilinéaires d’équations de Schrödinger Université Paul Sabatier-Toulouse III, thèse N.1338, 1993.
- 2[2] B.Alziary, N.Besbas
- 3[3] Alziary, Fleckinger Sign of the solution to a non-cooperative system Ro Ma Ko 2016
- 4[4] B.Alziary, J. Fleckinger, P. Takac, Maximum and anti-maximum principles for some systems involving Schrödinger operator , Operator Theory: Advances and applications, 110, 1999, p.13-21.
- 5[5] B.Alziary, J. Fleckinger, P. Takac, An extension of maximum and anti-maximum principles to a Schrödinger equation in ℝ N superscript ℝ 𝑁 {\mathbb{R}}^{N} Positivity , 5, (4), 2001, pp. 359-382
- 6[6] Groundstate positivity, negativity, and compactness for Schrödinger operator in ℝ N superscript ℝ 𝑁 {\mathbb{R}}^{N} . Jal Funct. Anal. 245, 2007, p.213-248.
- 7[7] B.Alziary, L.Cardoulis, J. Fleckinger
- 8[8] B. Alziary, J. Fleckinger, M. H. Lecureux , N. Wei Positivity and negativity of solutions to n × n 𝑛 𝑛 n\times n weighted systems involving the Laplace operator defined on ℝ N superscript ℝ 𝑁 {\mathbb{R}}^{N} , N ≥ 3 𝑁 3 N\geq 3 Electron. J. Diff. Eqns, 101, 2012, p.1-14.
