A Nonlinear Quantum Adiabatic Approximation
Clotilde Fermanian Kammerer (LAMA), Alain Joye (IF)

TL;DR
This paper extends the quantum adiabatic theorem to nonlinear Hamiltonians, proving the existence of solutions that closely follow instantaneous nonlinear eigenvectors during slow Hamiltonian variations.
Contribution
It introduces a nonlinear generalization of the quantum adiabatic theorem, establishing conditions for solutions to remain near nonlinear eigenstates.
Findings
Existence of solutions close to nonlinear eigenvectors in adiabatic regime
Extension of results from bounded to unbounded Hamiltonians under spectral assumptions
Introduction of a framework for nonlinear quantum adiabatic approximation
Abstract
This paper is devoted to a generalisation of the quantum adiabatic theorem to a nonlinear setting. We consider a Hamiltonian operator which depends on the time variable and on a finite number of parameters and acts on a separable Hilbert space of which we select a fixed basis. We study an evolution equation in which this Hamiltonian acts on the unknown vector, while depending on coordinates of the unknown vector in the selected basis, thus making the equation nonlinear. We prove existence of solutions to this equation and consider their asymptotics in the adiabatic regime, i.e. when the Hamiltonian is slowly varying in time. Under natural spectral hypotheses, we prove the existence of normalised time dependent vectors depending on the Hamiltonian only, called instantaneous nonlinear eigenvectors, and show the existence of solutions which remain close to these vectors, up to a rapidly…
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Taxonomy
TopicsAdvanced Mathematical Physics Problems · Spectral Theory in Mathematical Physics · Nonlinear Photonic Systems
A Nonlinear Quantum Adiabatic Approximation
Clotilde Fermanian-Kammerer 111Université Paris Est Créteil, Université Gustave Eiffel, CNRS, LAMA, UMR CNRS 8050, 61, avenue du Général de Gaulle, 94010 Créteil Cedex, France,
Alain Joye222 Univ. Grenoble Alpes, CNRS, Institut Fourier, F-38000 Grenoble, France
Abstract: This paper is devoted to a generalisation of the quantum adiabatic theorem to a nonlinear setting. We consider a Hamiltonian operator which depends on the time variable and on a finite number of parameters and acts on a separable Hilbert space of which we select a fixed basis. We study an evolution equation in which this Hamiltonian acts on the unknown vector, while depending on coordinates of the unknown vector in the selected basis, thus making the equation nonlinear. We prove existence of solutions to this equation and consider their asymptotics in the adiabatic regime, i.e. when the Hamiltonian is slowly varying in time. Under natural spectral hypotheses, we prove the existence of normalised time dependent vectors depending on the Hamiltonian only, called instantaneous nonlinear eigenvectors, and show the existence of solutions which remain close to these vectors, up to a rapidly oscillating phase, in the adiabatic regime. We first investigate the case of bounded operators and then exhibit a set of spectral assumptions under which the result extends to unbounded Hamiltonians.
Keywords: Adiabatic approximation, nonlinear adiabatic theorem.
Acknowledgments: This work is partially supported by the ANR grant NONSTOPS (ANR-17-CE40-0006-01), by the Von Neumann visiting professorship of the Technische Universität München and the CNRS Project 80Prime AlgDynQua. It has been partially written in the Mathematics Department of the Technische Universität München and during a visit of AJ at the Institut Mittag-Leffler. The authors thank these two institutions for their warm hospitality, with a special thought for the stimulating discussions with Simone Warzel and Herbert Spohn.
1 Introduction
We consider a time dependent Hamiltonian on a separable Hilbert space that depends on a finite number of real parameters taken in some open neighborhoods and of :
[TABLE]
where is a smooth map, i.e. , valued in the set of self-adjoint operators on . Let be a fixed orthonormal basis of and for , we denote by its coordinate along , i.e. . We consider solutions to the nonlinear evolution equation
[TABLE]
for and initial data with , in the limit where the small parameter tends to zero.
More precisely, we prove under natural spectral hypotheses that for the systems we consider, there exist an interval of times (containing [math]) and a family of smooth nonlinear eigenvectors, i.e. two smooth maps and , such that , , and
[TABLE]
and we provide conditions under which the deviations of from are small as , in the case where the initial data is taken along ().
We stress that the evolution equation (1.2) depends on the choice of the first vectors of the orthonormal basis . It is also important to note that the norm of is preserved and, because of the choice of a normalized initial data, In particular, this implies
[TABLE]
The limit that we consider is known as the adiabatic limit and consists in analyzing in finite time the evolution of slowly varying Hamiltonian: indeed, with the change of variable and of unknown function , equation (1.2) is equivalent to
[TABLE]
where the map is slowly varying in . In the context of linear equations, such an analysis leads to the celebrated adiabatic theorem of quantum mechanics see e.g. [K1]. Our aim here is to provide a framework where one can prove an approximation of the solution to the nonlinear equation (1.2) that bears some similarities with the well-known adiabatic results of the litterature.
The adiabatic theorem of quantum mechanics has found numerous extensions since its first formulations [BF, K1] for self-adjoint time dependent Hamiltonians with an isolated eigenvalue. It was extended to accommodate isolated parts of spectrum [N1, ASY] and it was shown to be exponentially accurate for analytic time dependence [JKP, JP, N2, J1]. Then, it was extended to deal with gapless situations where the eigenvalue of interest is not isolated in the rest of the spectrum, [AHS, AE, Te]. Generalisations to non-self-adjoint generators were provided in [A-SF, J3, AFGG], leading to extensions to gapless, non self-adjoint generators provided in [Sc]. Also, formulations of the adiabatic approximation have been shown to hold true for unitary and non unitary discrete time evolutions, [DKS, Ta, HJPR1, HJPR2], and for extended many body systems [BDR]. From this perspective, we prove a generalisation of the adiabatic theorem to nonlinear non-autonomous evolution equations in a Hilbert space defined by (1.2) and (1.1).
Such nonlinear evolution equations occur for example in condensed matter Physics or nonlinear Optics within certain parameter regimes. In particular, the analysis of Landau-Zener tuneling of a Bose-Einstein condensate between Bloch bands in an optical lattice or in double well potentials, as in [BQ] , [J-L et al., Kh, KhRu] or the study of optical waveguides known as nonlinear coherent couplers [Je, A], lead to systems of this form. Indeed, within a certain regime, the relevant Hamiltonians take the explicit form (1.2) for with an explicit two by two matrix , see the book [LLFY] for examples and more references.
A concrete example is provided by the work [MCWW] in which the dynamics of a Bose-Einstein condensate in a double-well potential are studied, within the mean-field and two-mode approximations. In this regime, one considers the Gross-Pitaevskii equation for the condensate, assuming the two wells of the potential are sufficiently deep and separated so that the condensate wave function can be expressed as a linear combination of the ground states in each of the two wells. Under suitable assumptions on the many-body interaction term, the resulting effective evolution of the coefficients of this expansion that describe the number of particles in each well, takes the form
[TABLE]
where and are parameters which depend on time when the two-well potential depends on time. This yields a Hamiltonian of the type (1.1). While the quadratic dependence in the components of the Hamiltonian above is dictated by the Physics it describes, our results hold for Hamiltonians displaying arbitrary smooth dependence in .
Adiabatic issues have been already addressed in the PDE literature in a nonlinear setting with different perspectives. With a scattering point of view, the long time behaviour of nonlinear two by two problems with generators similar to those mentioned above was analysed by [CFK2]. In a PDE setting, [CFK1] and [H] study the adiabatic propagation of coherent states for systems of Schrödinger equations with a non linearity and [S] considers the adiabatic regime of the nonlinear Schrödinger equation for small data. A common feature of these works is that the effective nonlinearity is weak in the sense that it decays with . This is not the case in [GG] which studies a PDE with a nonlinearity of order as , for small initial data, but of size independent of . The authors consider therein the time dependent Gross-Pitaevskii equation in a potential which varies slowly in time. Under suitable conditions on the potential, a unique ground state exists for the stationary linear equation parametrized by the time variable, playing the role of a nonlinear eigenvector in the sense of the previous paragraphs, and the solution to the Gross-Pitaevskii equation is shown to follow the instantaneous ground state, for large times.
Our approach here is closer to the latter reference. Indeed, we aim at providing a general functional framework for nonlinear adiabatic evolution equations (1.2) and (1.1), characterised by non linearities of order as and admitting solutions of norm strictly equal to one, in contrast to the PDE results mentionned above. We then discuss a set of reasonable spectral hypotheses on allowing us to provide an approximation of the solutions to (1.2) as , for times of order one. Our main result is first proven for bounded Hamiltonians, and then extended to unbounded , under suitable spectral assumptions. In particular, the latter case applies to a certain type of nonlinear Schrödinger equation on that we discuss.
Note that the matrix cases considered in [CFK2] or [LLFY] and in the references therein, appear as special cases of those that we consider, whereas our hypotheses excludes the PDE setup considered in [CFK1, H, S, GG]. This is due to the fact that the nonlinearity in (1.2) depends on the norm of the projections of the wave function on some subset of the basis vectors of the Hilbert space, and not of the modulus of the wave function itself as in the Gross-Pitaievski equation or in Hartree equation. In this sense, the nonlinearity that we consider is weaker.
1.1 Setup and main result
To ease notations, we will write from now on
[TABLE]
for any vector , where depends on components of only. The form of the nonlinearity we choose, depending on the modulus of (certain components of) the solution, is reminiscent of that of the nonlinear Schrödinger equation. It entails in particular the fact that actually depends on . This motivates the introduction of the anti-unitary complex conjugation on defined by
[TABLE]
to be used later on. Note that depends on the basis that is considered invariant under . For any , we define the operator and will call operators such that , real operators. We will work under the following general hypotheses.
- H0
The map is in the operator norm topology, where and are open neighbourhoods of . For all , . 2. H1
There exists such that , for all and . 3. H2
For all , the spectrum consists in distinct eigenvalues , possibly degenerate, that are separated from one another by a gap bounded below by , uniformly in . 4. H3
There exists such that is simple.
Consequently, the corresponding spectral decomposition of reads
[TABLE]
where the orthogonal spectral projectors have constant rank which may be infinite, while . We shall make use of the following facts: the maps are and so are . Moreover, for , there exists a global smooth map such that and
[TABLE]
These facts are briefly discussed in Section 2 below.
The form of the nonlinearity immediately implies a gauge invariance, which will turn out to be crucial later on. Due to (1.3), we have for any , any ,
[TABLE]
If H2 and H3 hold as well, this implies
[TABLE]
We first note that the self-adjointness of ensures that , whence the existence of global solutions to (1.2) via Cauchy-Lipschitz Theorem. Moreover, gauge invariance (1.6) implies symmetries that we exploit below. These elementary properties are stated in the next Lemma with the convention (1.3).
Lemma 1.1
Under assumption H0, for any , the equation
[TABLE]
*admits a unique global solution with .
Besides, given a map , and a solution to (1.8), the solution to*
[TABLE]
reads
[TABLE]
Our analysis focuses on solutions to (1.2) that are tightly related to the simple eigenvalue and associated eigenvector . Therefore, to simplify the notation, we drop the index for these spectral data from now on. We start by introducing a vector defined in a neighbourhood of by
[TABLE]
As discussed in Section 2, this nonlinear equation (that does not involve any derivative of ) turns out to always have a local nontrivial solution when is a simple eigenvalue of .
Proposition 1.2
Assume H0, H1, H2 and H3. Then, for any , there exists a neighbourhood of such that for all , there exists a solution of norm one to the equation
[TABLE]
Moreover, there exists such that for , the map is and can be chosen to satisfy
[TABLE]
which makes it unique up to a constant phase.
In the sequel, we shall always make the choice (1.10) and we will call such a vector an instantaneous nonlinear eigenvector. We can now give our main statements which establish nonlinear adiabatic theorems in the considered framework. We first consider the case .
Theorem 1.3
Assume , H0, H1 with small enough, and suppose that H2 holds with all eigenvalues being simple. Moreover, assume that is real, that is , and generic in the sense that . Let be the instantaneous nonlinear eigenvector defined in Proposition 1.2 in a neighbourhood of . Then the solution to (1.2) with satisfies for all
[TABLE]
Remark 1.4
*i) Note that the condition on the smallness of is independent on .
ii) The genericity condition always holds if is the ground state or the largest eigenvalue of .*
After a reduction to the case where , the proof of this theorem relies on the analysis of the system satisfied by the element of where
[TABLE]
Setting , a linearization process around shows that the evolution of is driven by an evolution equation of the form
[TABLE]
with and for some finite rank non self-adjoint operator and
[TABLE]
The smallness of is then proved thanks to a careful analysis of this equation in which the spectrum of plays a crucial role. The conditions on the spectrum of that are assumed in Theorem (1.3) allow to ensure that the operator is semisimple with real eigenvalues of constant multiplicity for all , which is enough to develop an approach à la Kato and prove that there exist positive constants such that the norm of the remainder satisfies
[TABLE]
These arguments are developed in Section 3 below and show that the previous theorem is a special case of the following one, which holds in infinite dimension and bounded operators .
Theorem 1.5
Assume H0, H1 with small enough, H2 and H3. Moreover, suppose that is real, that is . Let be the instantaneous nonlinear eigenvector defined by Proposition 1.2 in a neighbourhood of . Provided the operator defined by (3.4) below is semisimple with real eigenvalues of constant multiplicity for all , the solution to (1.2) with satisfies for all
[TABLE]
As already mentioned, the assumptions of Theorem 1.3 guarantee the adequate spectral behavior of the operator defined by (3.4) to get the conclusion of Theorem 1.5. In other words, assuming in H2 that all eigenvalues of the real operator are of multiplicity one is enough to obtain the assumption on the spectral decomposition of . In Section 3 we describe another set of assumptions which are sufficient to satisfy the hypothesis of Theorem 1.5 in infinite dimension in the case , see Lemma 3.1.
1.2 Extension of the result to unbounded operators
We now extend our results to the case where the operator on the separable Hilbert space is unbounded and takes the form , with . We make the following regularity hypothesis:
- R0
The self-adjoint operator is defined on a dense domain , and the family of bounded operator is self-adjoint for all . Moreover, , and are real operators. 2. R1
The map is strongly . 3. R2
There exist such that , , for all and .
We also assume the spectral hypothesis
- S1
The spectrum of consists in an infinite increasing sequence of simple eigenvalues , , and there exists and such that the gaps satisfy
[TABLE]
The operator being bounded, if is small enough, perturbation theory implies that for all , the self-adjoint operator defined on has spectrum consisting in simple eigenvalues only, and there exists such that the gaps satisfy for
[TABLE]
We pick some and assume the generic property:
- S2
For all ,
Note that, since is bounded from below, this assumption concerns only a finite number of eigenvalues. Besides, this property can be inherited from a similar assumption on the eigenvalue of .
We consider for all , the map from to such that
[TABLE]
We drop the index as before. Provided with these properties, we can develop the same analysis as in the situation addressed above, namely, the existence of a nonlinear eigenvector and an adiabatic approximation for the nonlinear evolution equation associated with : We consider orthonormal vectors that we take in for convenience, and set
[TABLE]
Proposition 1.2 ensures that for any , there exists a neighbourhood of such that for all , a solution of norm one to the algebraic equation (1.9) exists, see Remark 2.1. Moreover is and can be chosen to satisfy . Taking initial data in (1.2) gives the equation in which we are interested, namely
[TABLE]
in the weak sense on . By solution in the weak sense on we mean the following, see [RS], vol. II, p. 284 for the linear case: For any ,
[TABLE]
Theorem 1.6
Assume R0 and R1, then equation (1.14) admits a unique global solution in the weak sense of norm one. 2. 2.
Assume moreover R2 with small enough, S1 and S2 and let be a solution to (1.9) in a neighbourhood of . Then the solution to (1.2) with satisfies for all
[TABLE]
The proof of Theorem 1.6 contains two things: the existence of global solutions in the weak sense, and an adiabatic approximation. The proof of the latter follows the same strategy as the one developed in Theorems 1.3 and 1.5. However, additional difficulties come from the fact that the spectrum of (as defined in (1.12)) consists now in an infinite sequence of eigenvalues, while one has to work in the weak topology and to be careful with domain issues when constructing Kato’s operators. These points are documented in Section 4 below.
Before closing this section and discussing properties of these adiabatic solutions, we give a concrete example satisfying the assumptions of Theorem 1.6.
Example 1.7
Consider and the operator
[TABLE]
with domain , where is a polynomial in with highest degree . Then, as revealed by the Bohr-Sommerfeld formula [V], satisfies the assumptions R0 and S1 above. Consider -dependent self-adjoint perturbations of this operator ()
[TABLE]
where is such that the map is a bounded function from and there exists such that
[TABLE]
Then, satisfies assumptions R1 and R2 above.
To be quite concrete, we can take as orthonormal basis of the set of eigenstates of the harmonic oscillator, , and , where with . Depending on the sign of , for positive values of , the potential displays one or two wells, of various depths. The nonlinearity manifests itself by emphasising these features, depending on the amplitude of the coefficients of the solution on the first two basis vectors , given by a Gaussian times a Hermite polynomial in .
The example above is admittedly not motivated by applications to Physics, but is intended to demonstrate the adaptability of our functional framework to the unbounded setup.
1.3 Energy content of the solutions
We close this introduction by discussing briefly an important feature of the solutions provided by Theorems 1.3 and 1.5. A physically relevant quantity for the nonlinear equation (1.2) we consider is the instantaneous energy content of a solution , defined for all by
[TABLE]
For bounded operators , and independent initial conditions the energy content satisfies the uniform bound
[TABLE]
For a solution of the form , the energy content simply coincides, to leading order, with the energy content of the corresponding instantaneous nonlinear eigenvalue
[TABLE]
In general, the behaviour in time of the energy content of a solution does not necessarily admit such a regular behaviour in the limit , which makes this property a specific feature of the adiabatic solutions.
Let us illustrate this point on the following simple example. Let and consider
[TABLE]
on . The evolution equation (1.2) reads
[TABLE]
with initial conditions , and the energy content of the solutions reads
[TABLE]
The corresponding real normalised nonlinear eigenvectors are time-independent,
[TABLE]
and associated to the eigenvalues . Hence, the approximate solutions provided by Theorem 1.3 read
[TABLE]
which turn out to be exact solutions for all , since are time-independent. Their energy contents are thus given by
[TABLE]
which is -independent. However, for general solutions the situation is different, as stated in the next Lemma which is proved in Appendix B.
Lemma 1.8
Let be a solution of equation (1.16) with real-valued initial data such that , . Then the energy content reads
[TABLE]
with Hence, is actually a function of , which oscillates between the extremal values and with a period of order , unless in which case it is a constant.
By contrast, the linear quantum adiabatic theorem implies that the energy content of any solution is given by an -independent weighted sum of instantaneous eigenvalues of the Hamiltonian, to leading order. More precisely, assume is independent of and satisfies the hypotheses of Theorem 1.3. Let be an orthonormal basis of instantaneous eigenvectors of with phases normalised by . Then, the energy content of , solution to (1.2), which is linear in this case, with arbitrary initial condition reads for any ,
[TABLE]
Indeed, the linear quantum adiabatic theorem [K1] implies , uniformly in , hence a direct computation of the energy content yields the above expression, thanks to .
1.4 Organisation of the paper
We begin by proving the existence of the instantaneous nonlinear eigenvectors in Section 2. We also discuss the limitation that may occur to their existence. This crucial part of our result is independent of the other sections and can be skipped at first reading. Then we focus in Sections 3 and 4 on the proofs of the nonlinear adiabatic Theorems to which this article is devoted to. Sections 3 deals with the case of bounded Hamiltonians, with the proofs of Theorems 1.3 and 1.5, while we explain in Section 4 how to adapt the arguments to the unbounded setting of Theorem 1.6. Finally, two Appendices are devoted to the discussion of examples: the first one shows a situation where the spectrum of the operator is not necessarily real-valued even though is real, as emphasized in Remark 3.6 below; the second one focus on the analysis of the Example 1.8.
2 Instantaneous nonlinear eigenvectors
We focus in this section on the existence of the generalized nonlinear eigenvector defined in Proposition 1.2, and that we call instantaneous nonlinear eigenvectors. We first recall well-known facts in the linear setting, mainly to introduce notations. Then, we explain why a similar result remains true locally in the nonlinear regime we consider and why the obtained eigenvectors may not exist globally.
2.1 Existence of smooth eigenvectors in the linear adiabatic setting
The question of local (and global) existence of eigenvectors is simple in the linear context. Indeed, with the notations of Assumption H2 and using Riesz formula on , a circle of radius and center ,
[TABLE]
one gets that the projectors ’s are as is. Moreover, . The finitely degenerate eigenvalues are thus , and the same is true if .
Considering , for any , there exists an open neighbourhood of in which a normalised eigenvector exists such that
[TABLE]
Here maps to . More specifically, given an eigenvector of , the vector
[TABLE]
satisfies these conditions for all such that .
Actually, there exists an extension of this local map to a global map , which can be viewed as follows. Using the shorthand , set , and , so that defines a rank one vector bundle over the base . The base being contractible, it is known that the vector bundle is trivial, which is equivalent to the existence of a global frame on the fibres of , see e.g. [LeP, Sp]. An alternative approach is by explicit construction, making use of the parallel transport operator defined by (3.9) below. Passing to spherical coordinates and integrating the parallel transport operator along , keeping as parameters, we get a unit eigenvector for each , by the smoothness of the eigenprojector. This property holds for .
2.2 Existence of nonlinear eigenvector
We prove here Proposition 1.2.
Proof: For fixed, dropped from the notation, H3 yields,
[TABLE]
This requires to be parallel to where the latter is normalised. We use Schauder’s fixed point Theorem in a Banach space to actually prove that, locally, there exists such that , and thus . Set and by . This map is well defined, continuous and is closed, convex and nonempty. Thus will have a fixed point if is compact. Let . By continuity of in the variable , and compactness of , is compact. Thus the closed subset of is compact and Schauder Theorem (see [E] or Theorem 2.9 in [LeD]) implies the existence of a fixed point for , for each given value of . Since , the normalization of the fixed point holds.
In order to prove the smoothness of the map , we use the implicit function theorem on the map defined by
[TABLE]
The zeros of define , in a neighbourhood of . Note that by a smooth change of phase we can consider locally the continuous vector defined by (2.1). For , we compute, with the chosen orthonormal basis of ,
[TABLE]
Therefore, using the notation for the derivative with respect to the variables , we get
[TABLE]
We recall the notation in the scalar case
[TABLE]
such that if with and , then
[TABLE]
With these notations in mind, we obtain equivalently
[TABLE]
Therefore, for , it is enough to show that , say, to satisfy the assumptions of the implicit function theorem. We compute
[TABLE]
the norm of which is bounded above by , in a neighbourhood of characterised by
[TABLE]
Hence, H1 with small enough yields the existence of an open neighbourhood and of a map with that is solution to (1.9) for all .
To conclude, the proof, we observe that the argument above ensures , so that the phase adjustment implies that satisfies
Remark 2.1
Note that in the proof above, we have not used the assumption so that the result of Proposition 1.2 extends to unbounded families of operators .
2.3 Failure of global nonlinear eigenvectors
We illustrate with an example the fact that the eigenvector constructed in Proposition 1.2 may only exists locally. For this, we consider the matrix-valued case where is the real, symmetric, traceless two by two matrix
[TABLE]
where is and will be chosen later. The eigenvalues of are and with associated eigenvectors
[TABLE]
respectively. We denote by the eigenprojectors for the eigenvalue . Then a real normalised vector satisfies
[TABLE]
if and only if
[TABLE]
up to a global sign. It is then enough to find the function . For fixed , it reduces to finding such that
[TABLE]
Let us restrict to and choose the function according to the following picture
\tkzTabInity$$\theta(y^{2})[math]y_{\rm max}$$y_{\rm min}$$1\tkzTabVar[math]\theta_{\rm max}$$\theta_{min}$${\pi}
We fix so that for all and is decreasing on the set of values of . For , the uniqueness of the solution of the equation (2.5) is guaranteed and for , it depends on whether or not. Therefore, if we choose and such that
[TABLE]
we know that there exists such that the equation (2.5) has a unique solution for and exactly three solutions for times . Figure 1 illustrates that fact. Hence a solution chosen in a neighbourhood of for times will disappear as passes the value .
3 The case of bounded operators
In this section, we prove Theorems 1.3 and 1.5 the proofs of which both follow the same scheme. We first give the plan, spelling out the main steps and lemmas that we then successively prove in the next sections.
3.1 Proof of Theorems 1.3 and 1.5
Thanks to Lemma 1.1 with , we can reduce the analysis to the case without loss of generality, by considering the shift
[TABLE]
The eigenvalues of the operator are then all shifted by and we denote them by
[TABLE]
where the functions may have changed compared to what they were in the introduction. We set . Then, the map (which also depends on ) satisfies the system
[TABLE]
using a dot to express derivatives with respect to time. For all , the interval is the set of times around where given in Proposition 1.2 exists, we have
[TABLE]
and using , we obtain
[TABLE]
The equation involves a source term, , and its linear part depends on and . We write it as a system for these two vectors:
[TABLE]
We set for ,
[TABLE]
and, for later purposes, we notice that it follows from that
[TABLE]
and, together with , we get
[TABLE]
We also set, for ,
[TABLE]
and rewrite the system as (1.11), namely
[TABLE]
with and
[TABLE]
with
[TABLE]
and
[TABLE]
Note that , is non self-adjoint and is of finite rank. Hence, can be treated as a perturbation of the self-adjoint operator . One then observes that two classical consequences of Weinstein-Aronszajn formula are that , and that consists in finitely many of eigenvalues (see e.g. [K2], Chap. IV, 6).
The structure of the spectrum of is crucial for our analysis. As we shall see in the following, the proof of Theorems 1.3 and 1.5 works out when the spectrum of is semisimple with real eigenvalues of constant multiplicity for all . Moreover, there are situations where this can be proved and the next lemma describes such cases. According to the assumptions of Theorems 1.3 and 1.5, we focus on the case where is real.
Lemma 3.1
*a) There exists such that if, for all , we have , for some , and , then as a doubly degenerate isolated eigenvalue, with corresponding eigennilpotent .
b) Moreover, if , is simple and for all , then can be chosen so that the spectrum of is real-valued for all and takes the form*
[TABLE]
*where is of multiplicity two, and each eigenvalue , is simple.
c) Finally, in the special case , we have a) and if moreover and consists in exactly perturbed eigenvalues, then and all corresponding eigennilpotents are zero.*
Recall that the eigennilpotents correspond to the Jordan blocks in finite dimension. The points a) and b) imply that under the assumptions of Theorem 1.3, the spectrum of is semisimple with real eigenvalues of constant multiplicity for all , and thus that the assumptions of Theorem 1.5 are satisfied. The point c) gives another situation with possibly degenerate eigenvalues where the assumptions of Theorem 1.5 hold.
Remark 3.2
*i) Note that for b), it is enough to assume , at the cost of making smaller. This is a generic hypothesis which automatically satisfied whenever is the ground state or the upper eigenvalue.
ii) The condition states that the spectral effect of the rank one perturbation is maximal, which is a genericity assumption.The multiplicities of the eigenvalues of are arbitrary, possibly infinite, so that case c) does not necessary reduce to finite dimension, in contrast to the situation dealt with in Theorem 1.3.
iii) Besides, if the spectral effect of the rank one perturbation is maximal on , then takes the form (3.6) for all , with non zero distinct eigenvalues instead of , of which are simple (provided all eigenvalues of have multiplicity at least two).
iv) The condition real does not seem strong enough to ensure for ; see the example of the Hamiltonian given by equation (A.1) in Appendix A.*
We postpone the proof of Lemma 3.1 to Section 3.2 and we go to the next step of the proof which consists in controlling the adiabatic limit of the two-parameter evolution operator generated by (see (3.13) below), and using it to estimate via Duhamel formula. Since is not self-adjoint, this requires some care because the possible occurence of nilpotent operators in its spectral decomposition leads to subexponential divergence of the semigroup as (see [J3]), that we cannot accommodate. However, Lemma 3.1 ensures that under the assumptions of Theorem 1.3, and by hypothesis in Theorem 1.5, for all , is semi-simple, with spectral decomposition
[TABLE]
where we have set for convenience and where are eigenprojectors corresponding to real eigenvalues . We now work under these assumptions.
Despite the eigenprojectors not being orthogonal, with norms possibly larger than , we prove in the next lemma that any operator with real spectrum satisfying (3.7) generates an evolution operator which is uniformly bounded in and almost intertwines its eigenprojectors in the adiabatic limit, in the sense of (3.10) below. In line with Kato’s approach ([K1] and e.g. [HJ]), we introduce the dynamical phase operator defined by
[TABLE]
and the intertwining operator given by
[TABLE]
As is well known (see [K2]), for all , we have
[TABLE]
and thanks to Lemma 3.1, is uniformly bounded in . Moreover, we check that
[TABLE]
We then introduce the bounded family of operators
[TABLE]
which satisfy and
[TABLE]
Moreover, because is semi-simple, approximates the evolution operator generated by , as described by the next lemma which applies in a quite general setting.
Lemma 3.3
Let be an open bounded interval of containing [math] and consider the operator defined on a Hilbert space for all by the strong differential equation
[TABLE]
If with continuous derivatives at and if is semi-simple and satisfies (3.7) for all , then we have in ,
[TABLE]
which implies the uniform boundedness of the family of operators .
Remark 3.4
*i) As a consequence, .
ii) Note that in (3.7) is independent of , the multiplicities of the eigenvalues of are arbitrary, possibly infinite.*
We postpone the proof of this lemma to Section 3.3 below and conclude the proof of Theorem 1.5. As already mentioned, Lemma 3.1 ensures we can apply Lemma 3.3 to and under the assumptions of Theorems 1.3 and 1.5. We write
[TABLE]
It follows the definition of that for all time . Therefore, a classical adiabatic argument (that we spell out in Section 3.3 below) yields that Lemma 3.3 has the consequence stated below.
Corollary 3.5
For all , we have
[TABLE]
Therefore, focusing on the first component of (3.1) and setting
[TABLE]
with , we deduce from the above that there exist such that
[TABLE]
Setting , we are led to study of the second order equation
[TABLE]
Since , we deduce that , as long as . Finally, we obtain
[TABLE]
To justify the estimate (1.13) for small, we start from (3.1) to get the existence of such that
[TABLE]
Focusing on times , we consider which, by a similar argument using , implies, as long as , Increasing the constant if necessary, we get (1.13).
The two next subsections are respectively devoted to the spectral analysis of with the proof of Lemma 3.1, and to the non self-adjoint adiabatic estimates with the proof of Lemma 3.3 and its Corollary 3.5.
3.2 Spectral analysis of
We proceed with the proof of Lemma 3.1, which relies on a careful analysis of the eigenvalues of and of their multiplicity.
Recall that denotes the anti-unitary involution defined on by for all . It is at this stage of the proof that we shall use the assumption , which implies and for all . Due to assumption H1, we consider the operator as a perturbation of the bloc diagonal operator . Hence, since ,
[TABLE]
By our genericity assumption, and due to the reduction we have made to the case where , the spectrum of consists of isolated eigenvalues
[TABLE]
Since the operator is of small norm by assumption H1 and its definition (equations (3.2) and 3.5)), the spectrum of can be inferred from that of by perturbation theory. Hence has eigenvalues located in small discs centered at and in a disk with center [math]. One can assume that these disks are of same radius and that they do not intersect. Besides
- •
in , has as many eigenvalues (counted with multiplicity) as the multiplicity of as an eigenvalue of , and in case the multiplicity is infinite, there are only finitely many eigenvalues of in that differ from ,
- •
in , has at most two eigenvalues (counted with multiplicity).
We are going to use symmetry considerations to prove that these eigenvalues are real-valued and have the same symmetry properties as those of .
Remark 3.6
We develop in Appendix A an argument showing that the spectrum of is not necessarily real if is real, in order to motivate the assumptions that its eigenvalues are simple.
Proof: a) We start by considering the spectrum of in a neighbourhood of zero. For any , we can write
[TABLE]
Introducing the spectral projector associated with the doubly degenerate eigenvalue zero of and the corresponding reduced resolvent acting on , , we have for ,
[TABLE]
where we denote by the restriction of the operator to the range of . Since
[TABLE]
and for all , see (3.3), we get so that,
[TABLE]
Indeed, the reduced resolvent is analytic in and , so for small enough, the square bracket is invertible. Therefore, the only singularity of the resolvent of lies at , which remains a doubly degenerate eigenvalue after perturbation. The corresponding spectral projector is
[TABLE]
and, in view of (3.17) and (3.18), the corresponding eigennilpotent writes, (see [K2] Chapt. III, 5)
[TABLE]
Since the integrand is analytic in , we get that , which ends the proof of a) of Lemma 3.1.
b) The perturbation being of finite rank, we compute the Aronszajn-Weinstein determinant ([K2], p. 245) which reads in our case for all , the resolvent set of ,
[TABLE]
It follows that for all . Since the zeros of yield the eigenvalues of in , we obtain
[TABLE]
Since , we deduce
[TABLE]
It follows then that
[TABLE]
The nonzero eigenvalues of being simple by assumption, the same is true by perturbation theory for those of and (3.23) shows they must be real. Moreover, these conclusions hold for any under the stated hypotheses.
c) We now assume . Let fixed and let us drop the time variable. We make use of (1.5), with a possible relabelling of the eigenvalues due to the shift (3.1), to write with
[TABLE]
Thus, with , , and ,
[TABLE]
The numerator is a polynomial of degree which, by assumption, possesses distinct simple roots in . These roots being in the neighbourhood of for small, (3.23) implies that they are real. This proves .
We now consider the eigennilpotents. The potentially nonzero eigennilpotents are thus attached to the unperturbed eigenvalues with sufficient multiplicity, i.e. with only. For and , the resolvent takes the explicit form
[TABLE]
The eigennilpotents are the coefficients, up to a sign, of the poles of order two of the resolvent at the eigenvalues. We consider the nonzero eigenvalue only, being similar. Using the fact that the numerator of in (3.24) is nonzero at by assumption, we have in a neighbourhood of
[TABLE]
with . Hence, for close to ,
[TABLE]
The absence of pole of order two shows that , and the computation above further yields
[TABLE]
which concludes the proof.
We end the argument by briefly checking that is a projector on , or equivalently that is a projector on . Since
[TABLE]
The right hand side equals if With the definition of , this is equivalent to Now, (3.24) gives
[TABLE]
where the first term equals zero, while the only non zero term in the sum corresponds to . Altogether, which yields the result.
3.3 Non-selfadjoint adiabatic estimates
We prove here Lemma 3.3 in a way that naturally adapts to the unbounded setting that we shall consider in Section 4.
Proof: We first note that by the definition of and (see (3.12) and (3.9)), we have
[TABLE]
Using (3.10) and , we obtain
[TABLE]
whence
[TABLE]
We can now compare and . Let , we have
[TABLE]
or, equivalently
[TABLE]
With the shorthand , we have
[TABLE]
and
[TABLE]
Therefore, for any ,
[TABLE]
Now, observe that,
[TABLE]
where
[TABLE]
is invertible on , with reduced resolvent we denote by
[TABLE]
Thus the integrand in (3.28) reads, using (3.26) in the last step,
[TABLE]
We deduce
[TABLE]
Note that thanks to our spectral hypothesis, we have
[TABLE]
for some constant . We can thus integrate (3.28) by parts to get the existence of a constant (that may change from line to line below) such that for all
[TABLE]
where . Therefore,
[TABLE]
from which we get the existence of , independent of , such that implies
[TABLE]
Hence we infer the sought for bounds
[TABLE]
Let us now prove Corollary 3.5.
Proof: Set and recall that
[TABLE]
Therefore, the perturbed projector associated to the kernel of given by (3.19) satisfies
[TABLE]
Hence, writing , we have
[TABLE]
where is to be understood as the reduced resolvent of acting on . Thanks to (3.11) we can rewrite
[TABLE]
4 Generalization to unbounded operators
In this section, we prove Theorem 1.6. To start with, we focus on the existence of global weak solutions in Section 4.1. Then, to deal with the adiabatic approximation, we follow the same scheme of proof than in Section 3, analyzing the function that solves a system of the form 1.11 but now in the weak sense (see (4.6) ). This is explained in Section 4.2. However, due to the unboundedness of the operator , several technical points have to be taken care of:
The existence of the propagator associated with the operator (Section 4.3), 2. 2.
The analysis of the (unbounded) spectrum of (Section 4.4) proving an extension of Lemma 3.1 b) with an infinite number of eigenvalues. 3. 3.
The construction of the associated adiabatic approximate propagator and of its properties (Section 4.5).
We can then conclude the proof of the Theorem 1.6 in Section 4.6.
4.1 Proof of Theorem 1.6(1)
We prove the existence of a unique global solution to the nonlinear Schrödinger equation (1.14) in the weak sense, i.e. for any , we have equation (1.15), that is
[TABLE]
We denote by the evolution group associated with which maps into and is differentiable on only. We first consider a solution of (1.14) as an integral solution, i.e. a continuous function such that
[TABLE]
Indeed, such a satisfies (1.15) for all . Besides, if it does exist, we will show that the solution satisfies .
To construct , we consider , such that
[TABLE]
the ball of and the map
[TABLE]
By the choice of , maps into itself. Besides, is a contraction:
[TABLE]
hence, uniformly in ,
[TABLE]
with . Therefore, has a unique fixed point , which is the unique integral solution of the equation (1.14) on .
Now, the vector satisfies ,
[TABLE]
where the integrand is continuous, so that strong differentiation with respect to time is allowed. Since the operator is self-adjoint, one gets in the usual way that,
[TABLE]
Observe that the choice of only depends on and , and since , we can reiterate the same argument on starting from the initial data instead of . One then constructs the unique normalised integral solution of (1.14) on , so that . Iterating the process, we see that we have a unique global integral solution of the form (4.1) to the equation (1.14).
4.2 Preparation of the proof of Theorem 1.6 (2)
At this point, we follow the same strategy as in Section 3. Here again, the gauge invariance manifested in the conclusions of Lemma 1.1 holds in this case as well. This allows us to consider the replacement , keeping the notation for the shifted Hamiltonian, which admits [math] in its spectrum and finitely many negative eigenvalues. We set which solves a system similar to (1.11), as we now check. With the definitions
[TABLE]
and for all normalized , we have, using the smoothness of the bounded operator ,
[TABLE]
where is of order . Indeed, it takes the form
[TABLE]
for some uniformly bounded vectors and uniformly bounded operators and (which may also depend on and ):
[TABLE]
Besides, satisfies a similar equation corresponding to (1.11). Thus for the nonlinear problem, we need to consider weak solutions on of the coupled equations: For any ,
[TABLE]
with and
[TABLE]
The conjugates do not appear in the definition of , and since assumption R0 entails the fact that is real.
To analyse the domain of , it is useful to see as a perturbation of by writing with bounded, self-adjoint and smooth in . Indeed, this shows shows that is self-adjoint on and has domain , and the same is true for since is also bounded. We will also use this decomposition to analyse the existence of a two-parameter semigroup associated with .
In the next three paragraphs, we develop the arguments of the proof paying attention to the difficulties induced by the fact that , and thus are unbounded. As a fundamental preliminary, we first prove the existence of an evolution semigroup propagator associated with the operator . Then, the first step consists in proving that the (unbounded) spectrum of consists in real eigenvalues that are all simple, except the eigenvalue zero, and the second step in constructing the associated adiabatic approximate propagator as in Lemma 3.3 and on its properties.
4.3 Existence of a two-parameter semigroup generated by
Using the latter remark, we get the following regularity result on the solutions to the linear part of the equation for in .
Lemma 4.1
Let be an interval such that and let such that is self-adjoint on and defined for all is and bounded. Then, the equation
[TABLE]
admits a unique strong solution with values in , that is in time. Moreover, the same is true for the equation
[TABLE]
Proof: The first statement follows from Thm X.70 in [RS], see also [Kr]: the regularity assumption in time of is satisfied thanks to R1 so we need to show that for all fixed , generates a contraction semigroup on . The operator being self-adjoint on , it generates a unitary group on . Since is bounded, generates a strongly continuous semigroup (see Thm III.1.3 in [EN]) which satisfies in the operator norm of . By rescaling, , defined on , generates a contraction semigroup, so that Thm X.70 in [RS] applies and the first statement follows.
Since the existence of a strong derivative of on does not imply directly the same for , we resort to the following decomposition: we write again , where and define the bounded operator by
[TABLE]
It satisfies the strong differential equation on
[TABLE]
The generator is strongly continuous on and satisfies for all . Hence we can write as a norm convergent Dyson series, uniformly in , where the integrals are understood in the strong sense
[TABLE]
The relation for ,
[TABLE]
allows to prove by induction that is continuous in norm and, for all
[TABLE]
Hence is norm continuous as well, and the same is true for . Moreover, , for any , satisfies for any
[TABLE]
Since , where is norm continuous, we get that is strongly continuous, see e.g. [Kr], and so is . Hence we deduce from (4.3) that for any ,
[TABLE]
which, as above, implies for all and all ,
[TABLE]
This differential identity allows then to get the key property
[TABLE]
which derives from the Dyson representation for . Therefore, is strongly continuously differentiable in on , since all operators in the composition are, and (4.7) holds.
4.4 The spectrum of
We prove here that the spectrum of has the required properties for small enough.
In that purpose, we use that, as a consequence of the hypothesis S2:
[TABLE]
Note that the operator satisfies the assumptions of Theorem 4.15a in [K2], with the generalization stated in b) of Remark 4.16a. We deduce that the spectrum of consists in a sequence of eigenvalues
[TABLE]
where are simple eigenvalues, while has multiplicity 2, with zero eigennilpotent. Each corresponds to a unique eigenvalue of the unperturbed operator determined by . We denote those corresponding eigenvalues of by , (recall that the labelling of the s may differ from that of the eigenvalues of . Besides, there exists a constant such that
[TABLE]
Moreover,
[TABLE]
which derives from the observation : By differentiation,
[TABLE]
whence, using , one gets for the rank one projector , ,
[TABLE]
The fact that is a slightly non-selfadjoint operator in the sense of Section V.5 in [K2] allows us to apply Theorem 4.16 in [K2] and Remark 4.17 following it, to get the following spectral decomposition, under our assumption in S1, and for small enough:
[TABLE]
with a biorthogonal family of vectors, with . The sum (4.11) is understood in the strong convergence sense on the time independent domain
[TABLE]
Indeed, Theorem 4.16 in [K2] states that the normalised basis is a Riesz basis, and Theorem 3.4.5 in [D], giving a characterisation of Riesz basis, allows for the explicit description of the domain . In particular, there exist such that for all ,
[TABLE]
where
[TABLE]
Note that the domain of is
[TABLE]
where are the eigenvectors and eigenvalues of . The reader can refer to the paper [GZ], for example, in which Riesz spectral systems are studied.
4.5 The adiabatic propagator and its properties
We now focus on the construction of the adiabatic propagator as in Lemma 3.3. Since its proof follows that of the bounded case, we only have to focus on domain issues.
In view of what we have done in the previous sections, we can define, as in the bounded case, the dynamical phase operator (see (3.8) and (3.9))
[TABLE]
which is a family of uniformly bounded operators that map on , thanks to (4.15). At this point, further making use of (4.9) and of the fact that is uniformly bounded in , one sees by a dominated convergence argument that is also a strongly continuously differentiable two-parameter evolution operator on , where (3.11) holds.
We also define the intertwining operator given by
[TABLE]
It is shown in Proposition 3.1 and Lemma 3.2 of [J3], that as soon as , is well defined, , and satisfies the intertwining property (3.10) with each of the projectors.
Actually, theses properties of are shown in [J3] for orthogonal projectors . However, as a routine inspection reveals, the proofs hold mutatis mutandis in the non selfadjoint case, provided the growing gap assumption S holds, and the resolvent can be bounded in an approximate way by the inverse of the distance to the spectrum. Our perturbative framework, characterised by small ensures that this is the case.
We then introduce the bounded family of operators
[TABLE]
which map on and satisfy , together with
[TABLE]
The latter intertwining property implies that maps on : From (4.11) and the definition of and in (4.12), for ,
[TABLE]
so that we have the following property: if , see (4.13), with coefficient , , in the basis at time [math], then has an expansion in the basis at time with coefficients , , where is uniformly bounded in , thanks to (4.14).
We now describe the adjustments requested to argue as in Section 3.3 to prove the analogue of Lemma 3.3, that is
[TABLE]
We recall that the differential equation (3.13) has to be understood in the strong sense on , and is on and maps on , according to Lemma 4.1. Analogously, satisfies (3.25) in the strong sense on , and the same holds for defined by (3.26). Then, integration by parts on the integrand of (3.26) is to be understood in the strong sense, on vectors of . To deal with (3.28), one notes that (3.29) holds in the strong sense on , with the closed operator on obtained by extending the summation to in (3.30). Similarly, its reduced resolvent on simply reads Note that thanks to (4.15) and the spectral behaviours (4.9) and (4.10), we have with the notation
[TABLE]
for some constant uniform in , that may change from line to line below. Using this estimate in the integration by parts formula (3.31) we now get
[TABLE]
where . Therefore, since ,
[TABLE]
from which we get, as in Section 3.3, that for , independent of ,
[TABLE]
In turn, this proves Lemma 3.3 in our current unbounded context.
Given the observations above, we also note that the arguments used in proof of Corollary 3.5 are valid in the unbounded case as well.
4.6 Conclusion of the proof of Theorem 1.6 (2)
We set
[TABLE]
In particular, since for all , we have
[TABLE]
Besides, for any family of bounded operators on , for normalized and for , using (3.3)
[TABLE]
We then deduce from (4.2) that there exists a constant such that for any and ,
[TABLE]
We observe that satisfies in the strong sense on
[TABLE]
In view of (4.6), for any ,
[TABLE]
where the first term of the right hand side comes from the equation of , and the second term comes from the fact that satisfies the equation in the weak sense, making use of . Therefore, integrating between [math] and , we obtain
[TABLE]
Since , we can use estimate (4.20) for normalised and there exists such that
[TABLE]
Besides,
[TABLE]
by Lemma 3.3 and 3.5. Finally, by choosing , , we obtain that there exists constants , uniform in
[TABLE]
whence
[TABLE]
which allows to conclude the proof.
Appendix A Appendix A
According to Remark 3.6, we provide here an argument showing the spectrum of is not necessarily real if is real. We consider a smooth Hamiltonian on a Hilbert space , and of the form
[TABLE]
with the assumption that the eigenvalue [math] is simple and that the are of arbitrary multiplicities (). With the assumptions of Section 3.2, that means and, dropping the arguments in the variables, the Aronszajn-Weinstein determinant (3.21) takes the form
[TABLE]
Introducing and , , we have
[TABLE]
where and . By assumption, all matrix elements are real-valued. If is a zero of , that is a real eigenvalue of , that means is a real nonzero eigenvalue of the matrix
[TABLE]
This requires , which is not granted for a generic matrix in . While is not completely arbitrary, it doesn’t necessarily possess the symmetries that enforce this, as we argue below. Hence, the existence of nonzero real eigenvalues for cannot be inferred from the sole requirement that is real.
To be more quantitative, assume the eigenvalue of is independent of . Thus is independent of that we will consider as a large parameter. Consider fixed and in the vicinity of , assumed to be of order one. Then, for large, we have , , so that and
[TABLE]
The condition for large, is equivalent to saying the independent leading order matrix in (A.2) has real eigenvalues, i.e. to having
[TABLE]
Recall that given , the operators , and , are fixed, as is . Hence, the same is true for
[TABLE]
so that (A.3) reads
[TABLE]
For generic vectors satisfying (A.4), the above condition needs not be true. Actually, for any real unitary operator such that , we have , so that forms another orthonormal family defining the nonlinearity of the problem, keeping , fixed. It can be shown that if (A.5) holds for , with , , and , a real unitary leaving invariant can be chosen to that (A.5) is false for . The idea consists in discussing the restriction of to so that the orthonormal vectors have scalar products with which make (A.5) false.
Appendix B Appendix B
Let us look for more general solutions to (1.16) and prove Lemma 1.8. Reparametrising the time variable and writing allows us to get rid of the factor ,
[TABLE]
Writing out , we get the equivalent system
[TABLE]
It is readily checked that the three following expressions are constants of the motion
[TABLE]
so that the system can be solved by quadratures. Refraining from spelling out the solution in full generality, we consider solutions corresponding to the initial conditions
[TABLE]
We get for all with
[TABLE]
In case , we recover (1.17), modulo the reparametrization of the time variable. In all other cases, noting that is conserved, we compute in the variable
[TABLE]
which gives the result of the Lemma 1.8 with , and .
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