Bifurcation of nonlinear bound states in the periodic Gross-Pitaevskii equation with PT-symmetry
Tomas Dohnal, Dmitry E. Pelinovsky

TL;DR
This paper investigates bifurcations of nonlinear bound states in the one-dimensional PT-symmetric Gross-Pitaevskii equation with complex periodic potentials, revealing conditions for spectral band formation and approximating states via an effective cubic nonlinear Schrödinger equation.
Contribution
It proves bifurcations of PT-symmetric nonlinear bound states from the spectrum edges under general conditions and provides criteria for complex spectral band emergence in PT-symmetric potentials.
Findings
Bifurcation of nonlinear bound states from spectrum endpoints.
Approximation of bound states by an effective cubic nonlinear Schrödinger equation.
Conditions for the appearance of complex spectral bands with small imaginary potential.
Abstract
The stationary Gross-Pitaevskii equation in one dimension is considered with a complex periodic potential satisfying the conditions of the PT (parity-time reversal) symmetry. Under rather general assumptions on the potentials we prove bifurcations of PT-symmetric nonlinear bound states from the end points of a real interval in the spectrum of the non-selfadjoint linear Schrodinger operator with a complex PT-symmetric periodic potential. The nonlinear bound states are approximated by the effective amplitude equation, which bears the form of the cubic nonlinear Schrodinger equation. In addition we provide sufficient conditions for the appearance of complex spectral bands when the complex -symmetric potential has an asymptotically small imaginary part.
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Taxonomy
TopicsQuantum Mechanics and Non-Hermitian Physics · Nonlinear Photonic Systems · Topological Materials and Phenomena
Bifurcation of nonlinear bound states in the periodic Gross-Pitaevskii equation with -symmetry
Tomáš Dohnal
Fachbereich Mathematik, Technical University Dortmund, Vogelpothsweg 87, 44221 Dortmund, Germany
and
Dmitry Pelinovsky
Department of Mathematics, McMaster University, Hamilton, Ontario, Canada, L8S 4K1
Department of Applied Mathematics, Nizhny Novgorod State Technical University, 24 Minin street, 603950 Nizhny Novgorod, Russia
Abstract.
The stationary Gross–Pitaevskii equation in one dimension is considered with a complex periodic potential satisfying the conditions of the (parity-time reversal) symmetry. Under rather general assumptions on the potentials we prove bifurcations of -symmetric nonlinear bound states from the end points of a real interval in the spectrum of the non-selfadjoint linear Schrödinger operator with a complex -symmetric periodic potential. The nonlinear bound states are approximated by the effective amplitude equation, which bears the form of the cubic nonlinear Schrödinger equation. In addition we provide sufficient conditions for the appearance of complex spectral bands when the complex -symmetric potential has an asymptotically small imaginary part.
Key words and phrases:
bifurcation, nonlinear bound states, spectral intervals, non-selfadjoint linear Schrödinger operator, -symmetry
2010 Mathematics Subject Classification:
47J10, 35P30, 81Q12
The research was initiated during the LMS-Durham symposium on “Mathematical and Computational Aspects of Maxwell’s Equations” in July 2016. The research of T.D. is partly supported by the German Research Foundation, DFG grant No. DO1467/3-1. The research of D.P. is performed with financial support of the state task in the sphere of scientific activity of Russian Federation (Task No. 5.5176.2017/8.9).
1. Introduction
We consider the stationary Gross-Pitaevskii (GP) equation
[TABLE]
with complex -periodic potentials and and with a real parameter . The periodic potentials satisfy the conditions of the (parity-time reversal) symmetry given by
[TABLE]
Assumption (I)****.
Assume and with satisfy the -symmetry condition (1.2).
Consider the linear Schrödinger operator
[TABLE]
which is not self-adjoint if is complex. Nevertheless, we assume the existence of a real spectral interval in the spectrum of and prove the existence of -solutions (with ) to the stationary GP equation (1.1) bifurcating from an edge of the spectral interval. We call these solutions nonlinear bound states. They correspond to standing waves of the dependent Gross-Pitaevskii (GP) equation
[TABLE]
The bifurcating solutions are approximated via a slowly varying envelope ansatz. In a generic case (non-vanishing second derivative of the spectral function at the edge and non-vanishing coefficient in front of the cubic nonlinear term) the effective envelope equation is a nonlinear Schrödinger equation with constant coefficients.
We work in the Sobolev space with in order to enjoy the algebra property and the embedding of to the space of bounded and continuous functions decaying to zero at infinity. Besides the Banach fixed point theorem the main analytical tool in the justification of the effective amplitude equation is the Bloch transformation given formally by
[TABLE]
The Bloch transformation was introduced by Gelfand [12] and was used in the analysis of the Schrödinger operator with a real periodic potential [27]. With being the so-called Brillouin zone, the Bloch transform
[TABLE]
is an isomorphism for , see [27], with the inverse given by
[TABLE]
As the norm in we choose
[TABLE]
Under the Bloch transform the linear Schrödinger operator (1.3) is represented by the family of linear operators parameterized by and given by
[TABLE]
Consider the family of Bloch eigenvalue problems
[TABLE]
under the normalization condition . In what follows we denote the eigenpairs of the Bloch eigenvalue problem (1.8) by , , where the ordering can be done, e.g., according to the real part of the eigenvalues (including their multiplicity).
We assume the existence of a real spectral interval given by an eigenvalue family of the periodic eigenvalue problem (1.8) for some . We also assume that this interval is disjoint from the rest of the spectrum of given by (1.3) and that the end points of the spectral interval have non-vanishing second derivative of . In summary we pose the following.
Assumption (II)****.
For some the eigenvalue family is real with the spectral interval
[TABLE]
and with separated from the rest of the spectrum . Moreover, the eigenvalue is simple for each . For an end point we assume that
[TABLE]
where is the preimage of under the mapping .
In Fig. 1 we plot the first (with respect to the real part) several eigenvalues of the spectral problem (1.8) with
[TABLE]
for (a) and (b,c). They have been computed via a finite difference discretization. For all the lower spectral intervals appear real while for a symmetry breaking has occurred where the two lowest eigenvalue functions have collided and bifurcated into a complex conjugate pair. The third spectral function remains real for and its image is the marked interval . At we have and at it is . The fourth and fifth spectral functions also produce unstable eigenvalues in a small neighborhood of .
For real potentials , the eigenvalue family cannot have an extremum for due to the symmetry , the periodicity of and the fact that the differential equation posed for the Schrödinger operator (1.3) on the infinite line is of the second order [27]. Because the spectral interval is isolated from the rest of the spectrum of , the eigenvalue family then must have an extremum at either or and due to the smoothness of simple eigenvalues with respect to parameters one has .
The extension of these properties to general non-self-adjoint operator with complex potentials is not obvious. Nevertheless, for -symmetric potentials we show in Section 2 that the reflection symmetry
[TABLE]
still holds for the eigenvalue family in Assumption (II). The periodicity and smoothness of in hold clearly as well. Finally, the possibility of an extremum of the eigenvalue family at is excluded by the same argument as in the case of real potentials. Indeed, if an extremum of exists at , it also occurs at by symmetry (1.11). Therefore, on one side of the extremal value of , we have four bounded linearly independent solutions of the eigenvalue problem on the infinite line, which contradicts the fact that the eigenvalue problem is given by a second-order differential equation. Hence, if the spectral band is isolated, then the eigenvalue family has an extremum at either or and
[TABLE]
For any eigenpair of the spectral problem (1.8), the pair with for all is also an eigenpair of the same eigenvalue problem. This can be seen by complex conjugating ,
[TABLE]
using the -symmetry (1.2), and transforming ,
[TABLE]
hence . If is simple for some , then and are linearly dependent and, thanks to the normalization condition, the eigenfunction can be chosen to satisfy the -symmetry condition,
[TABLE]
In what follows, we say that the solution to the stationary GP equation (1.1) is -symmetric if it satisfies the same -symmetry condition,
[TABLE]
We study the bifurcation of -symmetric solutions to the stationary GP equation (1.1) from an endpoint of the real interval into a spectral gap. Hence, we pick as in Assumption (II) and set
[TABLE]
where is a formal small parameter and if or if .
We prove in Section 3 that similarly to the case of real potentials and [7, 9] (see also a review in Chapter 2 in [25]), the family of nonlinear bound states in with bifurcating from can be approximated via the slowly varying envelope ansatz
[TABLE]
where with satisfies the effective amplitude equation given by the stationary nonlinear Schrödinger (NLS) equation,
[TABLE]
with
[TABLE]
The coefficient is real due to the -symmetry of and in (1.2) and (1.13).
If the effective equation (1.17) has a bound state, we may expect the same for the GP equation (1.1). It follows from the elementary phase-plane analysis that bound states of the stationary NLS equation (1.17) exist if and only if
[TABLE]
Real even bound states are unique and have an explicit -function form, see Lemma 6.15 in [11]. They belong to for every . For the justification of the effective equation we need the invertibility of the linearization operator of the NLS equation at the bound state . For this the translational and gauge invariances of the differential equation (1.17) need to be eliminated, which is achieved if satisfies the -symmetry condition
[TABLE]
The following theorem justifies the effective amplitude equation (1.17) used for the approximation (1.16) and constitutes the main result of this article.
Theorem 1**.**
Let and and assume (I) and (II). Let be a -symmetric solution to the stationary NLS equation (1.17) with satisfying (1.20). Then there are constants and such that for each there exists a -symmetric solution of the stationary GP equation (1.1) with satisfying (1.14) and
[TABLE]
where is defined in (1.16).
Remark 2**.**
Condition (1.19) for the existence of NLS bound states implies that the bifurcation is always into a spectral gap. At the lower spectral edge , where , one has and the bifurcation in is down from ; analogously at the upper edge , where , one has and the bifurcation in is up from .
Remark 3**.**
Theorem 1 guarantees that the error is indeed smaller than the approximation itself because as for an -independent .
Remark 4**.**
The statement of Theorem 1 can be generalized in a number of ways. First, one can prove existence of smoother solutions with provided that belongs to . This would require a smoother potential than the one in (I). Second, the spectral interval does not have to be real entirely, as in (II). For the justification result, it is sufficient that a little segment of near the end point be real. Similarly, the simplicity assumption of the eigenvalue has to be satisfied only near the end point that corresponds to .
Remark 5**.**
Assumption (II) is not satisfied for an arbitrary complex . Propositions 9, 11 and 13 in Section 4 give sufficient conditions for the occurrence of complex spectral bands if with even and odd and with arbitrarily small. The sufficient conditions detect bifurcations of double eigenvalues at into complex pairs of simple eigenvalues for .
Remark 6**.**
Recent interest in -symmetric periodic potentials is explained by the experimental realization of such optical lattices in physical experiments [13, 20]. Several computational works were devoted to the existence and spectral stability of standing waves in the GP equation with complex periodic potentials [14, 22, 23] (see also the review in [19]). Persistence of real spectrum in honeycomb -symmetric potentials was studied in [5]. Small -symmetric perturbations of honeycomb periodic potentials were considered in [6] and their effect on the nonlinear dynamics of the GP equation was studied. A heuristic asymptotic method was used in [24] to approximate the standing waves of the GP equation by -solitons of the stationary NLS equation. Our work is the first one, to the best of our knowledge, which gives a rigorous proof of the existence of nonlinear bound states and their approximation by an effective equation for the bifurcation from an edge of a real interval in the spectrum of a -symmetric non-selfadjoint linear Schrödinger operator.
Remark 7**.**
The bifurcation from simple eigenvalues is a more classical problem. The bifurcation of nonlinear bound states from possibly complex eigenvalues of non-selfadjoint Fredholm operators is covered in the pioneering works [4, 15]. The bifurcation of nonlinear bound states from simple real eigenvalues under an antilinear symmetry (which includes the -symmetry) has been shown for a large class of nonlinear problems in [8]. Earlier, in [17] this bifurcation was proved for the special case of a discrete NLS equation on a finite lattice. The main difference between the bifurcation from a simple eigenvalue and from the edge of a spectral interval is that in the former case the existence of the bifurcation is automatic due to the separation of a simple eigenvalue from the rest of the spectrum while in the latter case the edge is connected to the spectral band. In the case of simple eigenvalues a bifurcation occurs even without symmetry assumptions and -symmetry is used only to show that the nonlinear bound state corresponds to real eigenvalue parameter. In the case of a spectral interval the symmetry is crucial for proving the bifurcation itself.
The rest of the article is organized as follows. Section 2 covers the technical results associated with the adjoint eigenvalue problem and with the Bloch transform. Section 3 gives a proof of Theorem 1. Section 4 reports results based on perturbation theory which give sufficient conditions on when Assumption (II) is not satisfied.
2. The adjoint eigenvalue problem and the Bloch transform revisited
Since the spectral problem (1.8) is not self-adjoint in the presence of complex periodic potentials, we also introduce the adjoint eigenvalue problem. By the Fredholm theory (see Remark 6.23 in Chapter III.6.6 [16]), eigenvalues of the adjoint operator are related to the eigenvalues of the operator by complex conjugation. The adjoint eigenvalue problem is written by
[TABLE]
where
[TABLE]
is the adjoint operator and is the adjoint eigenfunction.
If is a simple eigenvalue of the spectral problem (1.8), then is a simple eigenvalue of the adjoint spectral problem (2.1) and the adjoint eigenfunction can be uniquely normalized by . Indeed, if is a simple eigenvalue, then leads to a contradiction. In detail, if , then we have
[TABLE]
Therefore, there exists such that . At the same time, being simple implies
[TABLE]
so that with , which contradicts equation . Thus, , and the normalization can be used.
In the case of simple eigenvalues, the eigenpair of the spectral problem (1.8) and the eigenpair of the adjoint problem (2.1) are related via
[TABLE]
This follows from the -symmetry of in (1.2) such that after the transformation and , the adjoint problem becomes
[TABLE]
which coincides with the spectral problem (1.8). As a result of the symmetry reflection (2.3) we obtain
[TABLE]
for every simple real eigenvalue family . In addition, the eigenvalue family can be continued as a -periodic function of on . This symmetry and the smoothness of simple eigenvalues justify (1.11) and (1.12) claimed in Section 1.
Before we proceed with the proof of Theorem 1, let us also elaborate properties of the Bloch transform defined by (1.5) and (1.6). Let be the standard Fourier transform of given by
[TABLE]
Then, the Bloch transform (1.5) can also be related to the Fourier transform as follows:
[TABLE]
see [2] or Section 2.1.2 in [25].
By construction of in the definition of the Bloch transform in (1.5), we have the continuation property for all and :
[TABLE]
For two functions with , the product is also in , thanks to the Banach algebra of with respect to the pointwise multiplication [1, Thm.4.39]. In the Bloch space the multiplication operator is conjugate to the convolution operator:
[TABLE]
for any , where the last equality holds due to the quasi-periodicity of the Bloch transform in the variable . The convolution property follows from relation (2.5). Note that due to the algebra property of for and the above identity we have also the algebra property
[TABLE]
where the constant depends on .
Finally, for any -periodic and bounded function we have the property
[TABLE]
The commutativity property follows directly from the representation (1.5).
3. Nonlinear estimates; proof of Theorem 1
Problem (1.1) transforms via the Bloch transform to the form
[TABLE]
where property (2.8) has been used.
We decompose into the part corresponding to the spectral band and the rest. Note that we cannot use a full spectral decomposition of as this is not available for non-selfadjoint problems. For our decomposition we define the projections
[TABLE]
and
[TABLE]
with fixed by assumption (II), such that , where is the standard inner product. Decomposing now the solution into
[TABLE]
where
[TABLE]
and using as is given by (1.15), equation (3.1) is written as a system of two equations given by
[TABLE]
and
[TABLE]
where . We note that is -periodic because and are -quasiperiodic.
Since in (3.3) produces a large output, we need to perform a near-identity transformation before we can proceed with the nonlinear estimates. See the pioneering work [18] that explains this procedure. We hence decompose into
[TABLE]
where and solve equations
[TABLE]
and
[TABLE]
The resulting system of equations is given by (3.2), (3.4) and (3.5).
The component is supposed to approximately recover the Bloch transform of the formal ansatz (1.16). Note that because , we have
[TABLE]
where we have used properties (2.5) and (2.8). Since is concentrated near , we decompose on into a part compactly supported near and the rest. We write
[TABLE]
and continue outside periodically with period one. For all small enough the components and are defined by their support
[TABLE]
where is a parameter to be specified to suit the nonlinear estimates. Equivalently, defining
[TABLE]
we have and . We note that neither , , nor refer to the Fourier transform, since they are defined in the Bloch space. On the other hand, denotes the Fourier transform of the amplitude variable that satisfies the effective amplitude equation (1.17). In the Fourier variable the amplitude satisfies the effective amplitude equation in the form
[TABLE]
We aim at constructing a solution with close to on and with the other components and being small corrections. Hence, due to (3.6) ansatz (3.7) corresponds formally to the slowly varying envelope ansatz (1.16).
Obviously, system (3.2), (3.4) and (3.5) is coupled in the components and . Nevertheless, it can be approached by treating each problem independently with consistent assumptions on the form and size of the remaining components. In brief, our steps to construct such a solution of (3.1), i.e. of the original equation in the Bloch space, are as follows:
- (1)
For any given small, solve (3.4) uniquely to produce a small due to the invertibility of in for small enough. 2. (2)
For any given small, apply the Banach fixed point theorem to (3.5) in a neigborhood of zero to find a small solution . 3. (3)
For any given decaying sufficiently fast, apply the Banach fixed point theorem to (3.2) on the support of to find a small . 4. (4)
Prove the existence of such solutions to equation (3.2) (with the component given by step 3) on the support of that are close to a solution of equation (3.8). It is in this step where a restriction to the -symmetric solutions is necessary. It allows for the invertibility of the Jacobian operator at associated with equation (3.8).
The rest of this section explains the details of each step in the justification analysis. We denote a generic, positive, -independent constant by . It may change from one line to another line. We also restrict our work to the space with .
3.1. Preliminary estimates
We assume that for all sufficiently small
[TABLE]
where are to be determined later and the space for is
[TABLE]
We estimate first . Since in the domain of given by (1.7), there is a positive constant such that for all sufficiently small and any , we have
[TABLE]
Next, let us consider the norm of given by
[TABLE]
which appears in equations (3.4) and (3.5). By assumption (I) we get
[TABLE]
Next, we estimate
[TABLE]
where
[TABLE]
with
[TABLE]
and with “h.o.t.” containing the remaining convolution terms, i.e. those quadratic and cubic in . A direct calculation yields
[TABLE]
such that
[TABLE]
where we have used Young’s inequality for convolutions. Next, we use the estimate
[TABLE]
which holds for any because for . Besides, due to the support of we have
[TABLE]
for any . With (3.12) and (3.13) we obtain
[TABLE]
for any and . Using similar computations for the higher-order terms in (3.11) with the use of the estimate (3.12) for , we obtain
[TABLE]
for any and . By using the estimate
[TABLE]
which follows from Young’s inequality and estimate (3.12), we arrive at
[TABLE]
for any and .
3.2. Component
We solve now equation (3.4) for under assumption (3.9). Recall that the operator
[TABLE]
is invertible in with a bounded inverse. Thanks to estimate (3.15) there exists a unique solution of (3.4) which satisfies
[TABLE]
where depends polynomially on and .
3.3. Component
Next, we solve equation (3.5) for via a Banach fixed point argument with satisfying (3.9) and given as above. We write
[TABLE]
We show the contraction property of in
[TABLE]
for some and to be determined. First, using (2.7), we estimate
[TABLE]
Together with (3.10) and (3.17) we obtain for
[TABLE]
where depends polynomially on and . Clearly, if , then and
[TABLE]
with dependent on and . We set for a balance.
For the contraction estimate, we consider and . A straightforward calculation leads to
[TABLE]
such that the contraction holds for small enough.
By the Banach fixed-point theorem, there exists a unique solution to equation (3.18) for , which satisfies the estimate
[TABLE]
where depends polynomially on and .
3.4. Component
Equation (3.2) on the compact support of can be rewritten as
[TABLE]
with . Recall the decomposition , where for we have
[TABLE]
Equation (3.22) can be rewritten in the form
[TABLE]
where
[TABLE]
with and for some to be determined. We note that
[TABLE]
The first term in denoted as is estimated as follows
[TABLE]
if . The last inequality follows from , the fact that the Fourier transform is an isomorphism for any and from the algebra property of for .
The second term in , denoted as , is estimated with the help of the algebra property (2.7) of for ,
[TABLE]
We have the equivalence
[TABLE]
and
[TABLE]
for some . Using (3.17) and (3.21), we further have
[TABLE]
where depends polynomially on and . As a result, we obtain
[TABLE]
where depends on only, as , and where h.o.t. includes terms of higher order in or higher powers of .
Combining the estimates for and , we obtain
[TABLE]
Similarly one gets
[TABLE]
Thus, the contraction holds for in the ball
[TABLE]
if and if is small enough. By the Banach fixed-point theorem, there exists a unique satisfying equation (3.23) and the bound (3.26).
We also get an estimate for by using (3.25),
[TABLE]
and an estimate of by using
[TABLE]
where in both estimates (3.27) and (3.28) depends polynomially on .
3.5. Component
Finally, we turn to the leading order component of the solution and prove the existence of close to , a solution of the effective amplitude equation (3.8).
Equation (3.2) on the compact support of can be rewritten as
[TABLE]
with . Once again, we use a fixed point argument to solve for . In order to close the procedure for constructing , we need the constants in all estimates to depend only on norms of and not on norms of . As all constants are polynomials in and , we can employ (3.28) to get rid of the dependence on . We need to ensure, however,
[TABLE]
Hence, is further restricted by
[TABLE]
Since and , we can choose to satisfy this restriction.
As we show below, the reduced bifurcation equation (3.29) is a perturbation of equation (3.8). To this end, we expand the band function satisfying assumption (II) by
[TABLE]
where the remainder term satisfies the cubic estimate
[TABLE]
By substituting this decomposition into equation (3.29), we can rewrite the problem for in the form
[TABLE]
The second term in equation (3.31) recovers the nonlinearity coefficient in equation (3.8). Indeed, when we isolate the -component in and approximate all Bloch waves by those at , we get
[TABLE]
where is given by (1.18), is given in (3.11), and
[TABLE]
with
[TABLE]
Note that .
Next, we show the smallness of , and the terms in the square brackets in (3.31). With the help of (3.30) we obtain
[TABLE]
so that
[TABLE]
Estimate (3.32) dictates the choice of , namely . Hence, from now on we work with
[TABLE]
in addition to .
To estimate , we substitute the ansatz for into and use the transformations and . Then we get
[TABLE]
where
[TABLE]
Due to the analyticity of (recall that the eigenvalue family is simple) the coefficient is certainly Lipschitz continuous in each variable and we have
[TABLE]
This leads to the estimate
[TABLE]
where is the convolution over the whole real line. Applying Young’s inequality for convolutions, we have
[TABLE]
where we have used estimate (3.12) and the triangle inequality. Employing now estimate (3.28) with , , and , we finally obtain
[TABLE]
where depends on only.
To estimate , we use (3.14) and (3.28) again and obtain for , , and
[TABLE]
where depends on only.
By using (3.20) and (3.28) again, we obtain for ,
[TABLE]
where depends on only.
Comparing estimates for , and the terms in the square bracket in (3.31), we conclude that the estimate (3.32) yields the leading order term. In summary, equation (3.31) reads
[TABLE]
where and the remainder term satisfies
[TABLE]
with depending on only.
Equation (3.34) is a perturbed stationary NLS equation written in the Bloch form on the compact support. In the following, we prove the existence of solutions to equation (3.34) close to , where satisfies (3.8).
We define
[TABLE]
and write (3.34) as
[TABLE]
where . Letting
[TABLE]
we finally reformulate (3.34) as
[TABLE]
where
[TABLE]
Here is a symbolic notation for the Jacobian of . Note that is not complex differentiable but it is differentiable in real variables (after isolating the real and imaginary parts).
The Taylor expansion yields
[TABLE]
where is quadratic in . The term does not vanish exactly due to the convolution structure of the nonlinearity but we have
[TABLE]
where the right-hand-side includes terms of the form
[TABLE]
and terms quadratic and cubic in . Similarly to estimates of , we have
[TABLE]
where is to be specified. By using Young’s inequality, we obtain
[TABLE]
where the last estimate holds if , see (3.12). Thus, we have
[TABLE]
Similarly, we obtain
[TABLE]
for any
Combining (3.35), (3.37), and (3.38), we have
[TABLE]
where depends on only. Clearly, if (so that is used from now on), then there exist positive constants and that only depend on such that for all small enough
[TABLE]
and
[TABLE]
where
[TABLE]
We wish to solve (3.36) in via the Banach fixed point iteration by writing , where
[TABLE]
The operator is, however, not bounded uniformly in (in a neighborhood of ) because the Jacobian has a nontrivial kernel due to the shift and phase invariances of the stationary NLS equation (1.17).
Indeed, as is well known (see Chapter 4 in [25]), the Jacobian at a bound state of the stationary NLS equation (1.17) is a diagonal operator of two Schrödinger operators
[TABLE]
and
[TABLE]
which act on the real and imaginary parts of the perturbation to . By the shift and phase invariances, both operators have kernels, namely
[TABLE]
and the simple zero eigenvalue of and is isolated from the rest of their spectra. By using the Fourier transform and the dualism between and spaces, these facts imply that if is a bound state to equation (1.17) in with , then the kernel of is two-dimensional and the double zero eigenvalue is bounded away from the rest of the spectrum of . In a suitably selected subspace defined by a symmetry of the stationary NLS equation (1.17), such that the invariances do not hold within this subspace, the Jacobian is invertible. The two invariances are avoided if we restrict to -symmetric and , i.e.
[TABLE]
or equivalently
[TABLE]
Hence, for any given -symmetric solution to equation (1.17), we consider a solution to the fixed-point equation (3.36) in for real . By the -symmetry of the original problem (1.1), all components of the decomposition of inherit the -symmetry if is real, so that if is real, then is real, and the fixed-point equation (3.36) is closed in the space of -symmetric solutions. Then, thanks to (3.39), (3.40), and (3.41), there exists a unique real solution of the fixed-point equation (3.36).
In order to understand the above inheritance property in more detail, note that is -symmetric if and only of is symmetric for all . Hence, we can check the inheritance in the Bloch variable . Clearly, we need to only check that and commute with the symmetry, where is given by (3.16). We write
[TABLE]
For first note that because the eigenfunctions and are -symmetric, such that
[TABLE]
Due to the -symmetry of we get also As a result . Similarly, due to the symmetry of we get .
Therefore, for each component of the Banach fixed point argument can be carried out in the -symmetric subspace. All the resulting components of the decomposition are -symmetric and hence the full solution is -symmetric.
3.6. Difference between the formal ansatz and
To prove the inequality in Theorem 1, it remains to estimate the difference . The formal ansatz in (1.16) translates in Bloch variables to the decomposition (3.6). We seek now an estimate of , where for all we have
[TABLE]
The estimate is carried out as follows:
[TABLE]
from which we obtain
[TABLE]
and hence
[TABLE]
Together with (recall that ), this estimate yields
[TABLE]
where the constant depends polynomially on with .
Estimate (3.42) together with (3.17), (3.21) and (3.26) and the triangle inequality complete the proof of Theorem 1.
4. The spectral assumption revisited
The proof of Theorem 1 relies critically on Assumption (II) that the spectral band is real and isolated from the rest of the spectrum of the Schrödinger operator in (1.3) (although this can be generalized as explained in Remark 4 in Section 1). In real periodic potentials, every spectral band is real but the two bands may touch at a point with no spectral gap.
For our purposes we say that the point is a Dirac point in the one-dimensional case if two eigenvalue families and of the spectral problem (1.8) are real on some neighborhood around , if and if and are not differentiable at .
Due to the Lipschitz continuity of all (as follows, e.g., by a direct modification of the proof for the Helmholtz equation in [3]), a Dirac point is where and are conical in shape. Moreover, at a Dirac point two linearly independent eigenvectors of the spectral problem (1.8) exist and a system of two stationary nonlinear Dirac-type equations can be derived and justified with an analogous analysis as in the case of the stationary NLS equations [26] (see also Chapter 2 in [25]).
In -symmetric periodic potentials with the honeycomb symmetry in two spatial dimensions, a necessary and sufficient condition was derived in [5] at the Dirac point by the perturbation theory that shows when the spectral bands remain real under a complex-valued perturbation.
Here we iterate the same question for the -symmetric potential in Assumption (I). We derive perturbative results related to splitting of Dirac points, when the real periodic potential is perturbed by a purely imaginary perturbation potential. Therefore, we represent
[TABLE]
where is the perturbation parameter and the real potentials satisfy the symmetry conditions
[TABLE]
In what follows, we derive sufficient conditions for when the two real spectral bands overlapping at a Dirac point become complex under a small perturbation. This leads to an instability of the zero solution in the time-dependent NLS equation (1.4). At the same time Assumption (II) is no longer true and the formal approximation of bound states via the stationary NLS equation (1.17) cannot be justified.
Let us first note an elementary result.
Lemma 8**.**
Fix and let be a Dirac point of for either or . The two linearly independent eigenfunctions of can be chosen such that is real and even and is real and odd.
Proof. At either or the functions and are two linearly independent solutions of the Hill’s equation
[TABLE]
where the plus sign is chosen for and the minus sign is chosen for . Since is even due to (4.2), there exists one even and one odd real-valued solution of the boundary-value problem (4.3), see Theorems 1.1 and 1.2 in [21].
The following proposition presents the first perturbation result on the unstable splitting of Dirac points under a -symmetric perturbation of a real even potential.
Proposition 9**.**
Let the periodic potential in Assumption (I) be given by (4.1) and (4.2). Assume that is a Dirac point of at for either or and choose the corresponding linearly independent eigenfunctions such that is real and even and is real and odd. If
[TABLE]
then, for every sufficiently small, there exist two eigenvalues of the spectral problem (1.8) with and as .
Proof. The assertion follows from the perturbation theory for the Bloch eigenvalue problem
[TABLE]
where and is double at , with two linearly independent eigenfunctions . We normalize such that . The eigenfunctions are orthogonal because and have opposite (even and odd) symmetries.
Let us use the orthogonal projection operators and , such that for every we define
[TABLE]
Then, clearly, . Therefore, we write
[TABLE]
where are coordinates of the decomposition over the eigenfunctions , and , are the remainder terms (which depend on ). By using projection operators and , we project the eigenvalue problem (4.4) into the two blocks
[TABLE]
and
[TABLE]
where and
[TABLE]
Because is odd and are even, we get . Hence,
[TABLE]
Since is hermitian, the two eigenvalues of the truncated eigenvalue problem
[TABLE]
are purely imaginary, . They are nonzero and distinct if . The eigenvectors for the two distinct eigenvalues are linearly independent.
Since the double eigenvalue is isolated from the rest of the spectrum of in , a positive constant exists such that
[TABLE]
Let us assume that and are bounded by a -independent positive constant in the limit . Since , fixed-point iterations can be applied to system (4.7) for any finite , finite , and sufficiently small . There exists a unique solution to system (4.7) satisfying the bound
[TABLE]
for sufficiently small and a -independent constant .
We substitute now into (4.6) and close the construction via an implicit function argument. Let us define
[TABLE]
We have , where are the two eigenvalues of the truncated eigenvalue problem (4.9) with the eigenvectors . The Jacobian with respect to and is given by
[TABLE]
For every , there is a unique and such that . Indeed, each can be uniquely decomposed into and via for some and . Then, and is the unique solution of the linear inhomogeneous equation .
Hence, the implicit function theorem produces two unique roots for and in system (4.6) which converge as respectively to the eigenpairs and of the truncated problem (4.9).
Remark 10**.**
For a general choice of the orthogonal and normalized eigenfunctions and , the matrix in (4.8) is no longer anti-diagonal. However, eigenvalues of are invariant with respect to rotation of the basis in and therefore the two eigenvalues are still distinct. The proof of Proposition 9 can be applied for a general choice of eigenfunctions and and the sufficient condition for splitting of the Dirac points is given by invertibility of the matrix .
If , there are infinitely many Dirac points in the Bloch eigenvalue problem (4.4) for . The following proposition gives a sufficient condition that one of these Dirac points splits and gives rise to instability under the -symmetric potential .
Proposition 11**.**
Let . At Dirac points exist at each . The -coordinate of the Dirac point at is for even and for odd. Let be defined by the Fourier sine series
[TABLE]
with for every . If for some , then for every sufficiently small the Dirac point at breaks into two complex eigenvalues of the spectral problem (1.8) with and as .
Proof. For and , the eigenvalues of the Bloch eigenvalue problem (1.8) are
[TABLE]
which give the location of the Dirac points at , i.e. the crossing point of and , and at , i.e. the crossing point of and . Note that in contrast to the eigenvalues are not ordered according to the magnitude (of the real part) but rather according to the Fourier series index. We enumerate the Dirac points by for .
If with , the two linearly independent normalized eigenfunctions of the Bloch eigenvalue problem (1.8) with the symmetry properties as in Lemma 8 are given by
[TABLE]
If with , the two eigenfunctions are
[TABLE]
In both (4.11) and (4.12) we have
[TABLE]
where is the Fourier coefficient in (4.10) for either or . If for some , the two eigenvalues are complex by Proposition 9.
Figure 2 illustrates Proposition 11 with the example for (a) and (b,c). The eigenvalue families in (b,c) were computed numerically using a finite difference discretization.
Remark 12**.**
If for all in the Fourier series (4.10), then all Dirac points split into two complex eigenvalues and none of the spectral bands is completely real for small.
The final result shows that if is smoother than and is not too smooth, then the high-energy bands split generally and become unstable for every nonzero . This means that the -symmetry breaking threshold discussed in many publications (see, e.g., the review in [19]) is identically zero even if the real potential is generic and has no Dirac points. To simplify the proof of the following proposition, we assume that has zero mean.
Proposition 13**.**
Let and be defined by the Fourier series
[TABLE]
where satisfy
[TABLE]
Then for every there is a sufficiently large such that for every two complex eigenvalues of the spectral problem (1.8) with exist, which satisfy
- (i)
,
- (ii)
* as .*
Proof. By the asymptotic theory in [10, Chapter 4] for , the band edge points converge at infinity to the Dirac points of the homogenous problem (1.8) with . Therefore, in order to prove the assertion, we will treat and as perturbation terms in the Bloch eigenvalue problem
[TABLE]
where . The two eigenfunctions of are given by either (4.11) or (4.12) for the double eigenvalue with either and or and .
We present here the even case , . The odd case is analogous. We represent
[TABLE]
where is shown to be small as . Let us write in the Fourier series form
[TABLE]
Substituting these representations in the Bloch eigenvalue problem (4.15), we obtain the discrete eigenvalue problem
[TABLE]
where and for and . Singling out the resonant terms at , we project the eigenvalue problem (4.16) into two blocks
[TABLE]
and
[TABLE]
where . The two eigenvalues of the matrix in the first term of the left-hand side of (4.17) are given by
[TABLE]
Since by the first assumption in (4.14), for any there exists a sufficiently large such that for any . The corresponding eigenvalues are distinct and complex. In what follows, we prove persistence of this complex splitting of the double zero eigenvalue in the block (4.17).
We assume that and are bounded by an -independent positive constant in the limit . We denote with and work in the sequence space , which represents the space for the original problem (4.15).
Since the spacing between and grows like as , we set
[TABLE]
and obtain
[TABLE]
by using Young’s inequality for convolutions
[TABLE]
with , , and . The positive constant is -independent but may depend on and . In what follows, we use the same notation for the generic constant that may change from one line to another line.
Thanks to the bound (4.20), the inverse operator can be constructed for system (4.18) in for any finite and if is sufficiently large. By the inverse function theorem, there exists a unique solution to system (4.18), which can be represented in the form
[TABLE]
where the unique vectors depend on , , and and satisfy the bounds
[TABLE]
for an -independent positive constant .
By the symmetry of system (4.18), we note that
[TABLE]
Moreover, solving system (4.18) by iterations, we can write
[TABLE]
where satisfies the system
[TABLE]
Thanks to Young’s inequality (4.21), the higher order terms satisfy the bound
[TABLE]
for another -independent positive constant .
Substituting (4.22) to (4.17), we obtain the matrix nonlinear eigenvalue problem in the form
[TABLE]
where
[TABLE]
By the symmetry in (4.24), we obtain
[TABLE]
Eigenvalues are found as roots of the characteristic equation for (4.27), namely
[TABLE]
where and define the symmetric and anti-symmetric combinations of and respectively, e.g.
[TABLE]
Substituting the leading order (4.25), we find
[TABLE]
where the higher-order terms are convolutions of and estimated in (4.26). Hence, by Young’s inequality, is bounded in the norm by .
Since the leading order of is even in , we obtain the estimates:
[TABLE]
for -independent constants , where the factor of is included for convenience. On the other hand, the leading order of can be estimated as follows:
[TABLE]
with similar estimates for the other parts of the leading order of . Combining with the higher-order terms and recalling the first assumption in (4.14), we obtain the estimates
[TABLE]
for -independent constants .
The right-hand side of the nonlinear characteristic equation (4.28) is
[TABLE]
Using the three assumptions in (4.14), we conclude that , where as . Therefore, if is sufficiently large.
We note next that the roots of the characteristic equation (4.28) are bounded in as they are fixed points of
[TABLE]
where is estimated above and . Hence
[TABLE]
for some independent of . This leads to an estimate on the imaginary part of . Namely, since
[TABLE]
we have
[TABLE]
Finally, thanks to the second assumption in (4.14), the imaginary part of the two roots of is nonzero if is so large that because then the following asymptotics hold
[TABLE]
The assertion of the proposition is thus proved. Note that given by (4.19) may be smaller than the leading order term for given by .
As an example for the assumptions in Proposition 13, we consider the periodic potentials and such that
[TABLE]
with some . Since , the assumptions in (4.14) are satisfied and by Proposition 13, for every , there exists such that eigenvalues (4.19) are complex for every . Moreover, there is a positive constant such that . The latter estimate follows from obtained from the previous estimates on and as well as the definition of . If is sufficiently large in , then is small for every .
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