A reducibility result for Schr\"odinger operator with finite smooth and time quasi-periodic potential
Jing Li

TL;DR
This paper proves a reduction theorem for a Schrödinger operator with finite smooth, time-quasi-periodic potential, showing it has pure point spectra and zero Lyapunov exponent, using KAM techniques.
Contribution
It introduces a reduction theorem for Schrödinger operators with finite smooth quasi-periodic potentials, advancing the understanding of their spectral properties.
Findings
Schrödinger operator has pure point spectra.
Operator exhibits zero Lyapunov exponent.
Reduction achieved via KAM technique.
Abstract
In the present paper, we establish a reduction theorem for linear Schr\"odinger equation with finite smooth and time-quasi-periodic potential subject to Dirichlet boundary condition by means of KAM technique. Moreover, it is proved that the corresponding Schr\"odinger operator possesses the property of pure point spectra and zero Lyapunov exponent.
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Taxonomy
TopicsQuantum chaos and dynamical systems · Spectral Theory in Mathematical Physics · Quantum Mechanics and Non-Hermitian Physics
A reducibility result for Schrödinger operator with finite smooth and time quasi-periodic potential
Jing Li
School of Mathematics , Shandong University, Jinan 250100, P.R. China
School of Mathematics and Statistics, Shandong University, Weihai 264209, P.R. China
Abstract
In the present paper, we establish a reduction theorem for linear Schrödinger equation with finite smooth and time-quasi-periodic potential subject to Dirichlet boundary condition by means of KAM technique. Moreover, it is proved that the corresponding Schrödinger operator possesses the property of pure point spectra and zero Lyapunov exponent.
keywords:
Reducibility; Quasi-periodic Schrödinger operator; KAM theory; Finite smooth; Lyapunov exponent; Pure-point spectrum MSC:35P05; 37K55; 81Q15
1 Introduction
Recently years there are many literatures to investigate the reducibility for the linear Schrödinger equation of quasi-periodic potential, of the form
[TABLE]
or of the more general form, where or an abstract self-adjoint (unbounded) operator and the perturbation is quasiperiodic in time and it may or may not depend on or/and . From the reducibility it is proved immediately that the corresponding Schrödinger operator is of the pure point spectrum property and zero Lyapunov exponent.
When , there are many interesting and important results. See [1, 2, 6, 15] and the references therein.
When with any integer , there are relatively less results. In [9], it is proved that
[TABLE]
is reduced to an autonomous equation for most values of the frequency vector , where is analytic in and quasiperiodic in time with frequency vector . The reduction is made by means of Töplitz-Lipschitz property of operator and very hard KAM technique. As a special case of (1.2) with , the reduction can be automatically derived from the earlier KAM theorem for nonlinear partial differential equations, assuming is analytic in . See, [11] and [12] for example.
As we know, the spectrum property depends heavily on the smoothness of the perturbation for the discrete Schrödinger operator. For example, the Anderson localization and positivity of the Lyapunov exponent for one frequency discrete quasi-period Schrödinger operator with analytic potential occur in non-perturbative sense (the largeness of the potential does not depend on the Diophantine condition. See [4], for the detail). However, one can only get perturbative results when the analytic property of the potential is weaken to Gevrey regularity (see [10]). Thus, a natural problem is that what happens when the perturbation is finite smooth in .
Actually in his pioneer work, by reducibility Combescure [6] studied the quantum stability problem for one-dimensional harmonic oscillator with a time-periodic perturbation. The techniques of this paper were extended in [7] and [8], in order to deal with an abstract Schrödinger operator , where , a selfadjoint operator acting in some Hilbert space , has simple discrete spectrum obeying a gap condition of the type for a given , and is periodic in and times strongly continuously differentiable as a bounded operator.
In the present paper, we will extend the time periodic to time quasi-periodic one. Let us consider a linear Schrödinger equation with quasi-periodic coefficient:
[TABLE]
subject to the boundary condition
[TABLE]
where is a quasi-periodic in time with frequency
[TABLE]
and is also an even function of .
Assume where is Diophantine:
[TABLE]
with a constant, and is a parameter. Endow a symplectic . Take as phase space. Then (1.3) is a hamiltonian system with hamiltonian functional
[TABLE]
Theorem 1.1**.**
Assume that for a.e. the potential is in the variable with Then there exists and exists a subset with
[TABLE]
and a quasiperiodic symplectic change such that for any (1.3) subject to (1.4) is changed into
[TABLE]
where is a real Fourier multiplier:
[TABLE]
with constants and . Moreover, the Schrödinger operator is of pure point spectrum property and of zero Lyapunov exponent.
Remark 1**.**
We will combine the Jackson-Moser-Zehnder approximation technique(see [5], for example) and KAM technique[11] and [12], which also applies to the case dealt with in [7] and [8]. Thus our result extends theirs. We also mention [16] where the reducibility is dealt for a finite smooth and unbounded perturbation .
2 Preliminaries
2.1 Analytical Approximation Lemma
In this subsection, we cite an approximation lemma with the aim of this paper. These result can be obtained by [13] and [14].
We start by recalling some definitions and setting some new notations. Assume is a Banach space with the norm . First recall that for denotes the space of bounded Hölder continuous functions with the form
[TABLE]
If then denotes the sup-norm. For with and we denote by the space of functions with Hölder continuous partial derivatives, i.e., for all muti-indices with the assumption that and is the Banach space of bounded operators with the norm
[TABLE]
We define the norm
[TABLE]
Lemma 2.1**.**
(Jackson, Moser, Zehnder) Let for some with finite norm over Let be a radical-symmetric, function, having as support the closure of the unit ball centered at the origin, where is completely flat and takes value 1, let be its Fourier transform. For all define
[TABLE]
Then there exists a constant depending only on and such that the following holds: For any the function is a real-analytic function from to such that if denotes the -dimensional complex strip of width
[TABLE]
then for such that one has
[TABLE]
and for all
[TABLE]
The function preserves periodicity (i.e., if is T-periodic in any of its variable , so is ). Finally, if depends on some parameter and if the Lipschitz-norm of and its -derivatives are uniformly bounded by then all the above estimates hold with replaced by
For the following result, the reader can referred to [16], for detail. For ease of notation, we shall replace by Fix a sequence of fast decreasing numbers and For a -valued function construct a sequence of real analytic functions such that the following conclusions holds:
(1)
is real analytic on the complex strip of the width around
(2)
The sequence of functions satisfies the bounds:
[TABLE]
[TABLE]
where denotes (different) constants depending only on and
(3)
The first approximate is ”small” with the perturbation . Precisely speaking, for arbitrary we have
[TABLE]
where constant is independent of and the last inequality holds true due to the hypothesis that
(4)
From the first inequality (2.3), we have the equality below. For arbitrary
[TABLE]
2.2 Lemmas
We need the following Lemmas.
Lemma 2.2**.**
[3]** For one has
[TABLE]
Lemma 2.3**.**
[12]** If is a bounded linear operator on then also with
[TABLE]
and is bounded linear operator on and where is operator norm.
Remark 2**.**
Lemma 2.3 holds true for the weight norm
3 Main results
Consider the differential equation:
[TABLE]
subject to the boundary condition
[TABLE]
It is well-known that the Sturm-Liouville problem
[TABLE]
with the boundary condition
[TABLE]
has the eigenvalues and eigenfunctions, respectively,
[TABLE]
[TABLE]
Write
[TABLE]
Note that is an even function of . Write
[TABLE]
where
[TABLE]
Considering that
[TABLE]
where
[TABLE]
Then (3.1) can be expressed as
[TABLE]
which implies that
[TABLE]
This is a hamiltonian system
[TABLE]
with hamiltonian
[TABLE]
For two sequences , define
[TABLE]
Then we can write
[TABLE]
where
[TABLE]
[TABLE]
Define a Hilbert space as follows:
[TABLE]
Let
[TABLE]
[TABLE]
Recall that
[TABLE]
Note that the Fourier transformation (3.7) is isometric from to where is the usual Sobolev space. By (3.17), we have that
[TABLE]
where is the operator norm from to , and is an integer.
Actually,
[TABLE]
For any
[TABLE]
Thus,
[TABLE]
where
[TABLE]
here we used the fact that , if Let
[TABLE]
Thus,
[TABLE]
where is a universal constant which might be different in different places. Combing (3), (3) and (3), we have
[TABLE]
Now let us apply analytical approximation Lemma to the perturbation Take a sequence of real numbers with goes fast to zero. Let . Then by (2.6) we can write,
[TABLE]
where is analytic in with
[TABLE]
and is analytic in with
[TABLE]
3.1 Iterative parameters of domains
Let
which measures the size of perturbation at step.
- 2.
which measures the strip-width of the analytic domain
- 3.
is a constant which may be different in different places, and it is of the form
[TABLE]
where are absolute(?) constants.
- 4.
- 5.
- 6.
a family of subsets with and
[TABLE]
- 7.
For an operator-value (or a vector function) whose domain is Set
[TABLE]
where is the operator norm, and set
[TABLE]
3.2 Iterative Lemma
In the following, for a function , denote by the derivative of with respect to in Whitney’s sense.
Lemma 3.1**.**
Let where are defined by (3.25). Assume that we have a family of Hamiltonian functions :
[TABLE]
where is operator-valued function defined on the domain and
[TABLE]
[TABLE]
and with
[TABLE]
* is defined in with and is analytic in for fixed and*
[TABLE]
[TABLE]
Then there exists a compact set with
[TABLE]
and exists a symplectic coordinate changes
[TABLE]
[TABLE]
such that the Hamiltonian function is changed into
[TABLE]
which is defined on the domain and satisfy the assumptions and satisfy the assumptions
3.3 Derivation of homological equations
Our end is to find a symplectic transformation such that the terms (with ) disappear. To this end, let be a linear Hamiltonian of the form
[TABLE]
where Moreover, let
[TABLE]
where is the flow of the Hamiltonian. Vector field of the Hamiltonian with the symplectic structure Let
[TABLE]
By (3.28), we write
[TABLE]
with
[TABLE]
[TABLE]
where Since the Hamiltonian depends on time we introduce a fictitious action constant, and let be angle variable. Then the non-autonomous can be written as
[TABLE]
with symplectic structure . By combination of (3.39)-(3.44) and Taylor formula, we have
[TABLE]
where is the Poisson bracket with respect to that is
[TABLE]
Let be a truncation operator. For any
[TABLE]
Define, for given
[TABLE]
[TABLE]
Then
[TABLE]
Let
[TABLE]
where
[TABLE]
and is the matrix element of and is the -Fourier coefficient of Then
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
The equation (3.46) is called homological equation. Developing the Poisson bracket and comparing the coefficients of we get
[TABLE]
where
[TABLE]
and we assume Write is the matrix elements of . Then (3.55) can be rewritten as:
[TABLE]
[TABLE]
where
3.4 Solutions of the homological equations
Lemma 3.2**.**
There exists a compact subset with
[TABLE]
such that for any (Recall ), the equation (3.57) has a unique solution which is defined on the domain with
[TABLE]
[TABLE]
Proof.
By passing to Fourier coefficients, (3.57) can be rewritten as
[TABLE]
where with Recall Let
[TABLE]
and let
[TABLE]
where with and when Let
[TABLE]
Then for any we have
[TABLE]
Recall that is analytic in the domain for any
[TABLE]
It follows
[TABLE]
Therefore, by (3.66), we have
[TABLE]
where is a constant depending on
By Lemma 2.3 and the Remark 2, we have
[TABLE]
It follows that
[TABLE]
Applying to both sides of (3.62), we have
[TABLE]
where
[TABLE]
Recalling and using (3.30) and (3.31) with and using (3.67), we have, on
[TABLE]
According to (3.34),
[TABLE]
By (3.64), (3.68), (3.70) and (3.71), we have
[TABLE]
Note that Again using Lemma 2.2 and Lemma2.3, we have
[TABLE]
The proof of the measure estimate (3.59) will be postponed to section 3.7. This completes the proof of Lemma 3.2. ∎
3.5 Coordinate change by
Recall \Psi=\Psi_{m}=X_{\varepsilon_{m}F}^{t}\big{|}_{t=1}, where is the flow of the Hamiltonian , vector field with symplectic So
[TABLE]
More exactly,
[TABLE]
Let z=\left(\begin{array}[]{c}u\\ \overline{u}\\ \end{array}\right),
[TABLE]
Then
[TABLE]
Let be initial value. Then
[TABLE]
By Lemmas 3.2 in Section 7,
[TABLE]
[TABLE]
It follows from (3.76) that
[TABLE]
Moreover, for ,
[TABLE]
where is the operator norm from
By Gronwall’s inequality,
[TABLE]
Thus,
[TABLE]
and
[TABLE]
Since (3.75) is linear, so is linear coordinate change. According to (3.76), construct Picard sequence:
[TABLE]
By (3.82), this sequence with goes to
[TABLE]
where is the identity from and is an operator form for any fixed and is analytic in with
[TABLE]
Note that (3.75) is a Hamiltonian system. So is a symplectic linear operator from to
3.6 Estimates of remainders
The aim of this section is devoted to estimate the remainders:
[TABLE]
Estimate of (3.51).
By (3.44), let
[TABLE]
then
[TABLE]
So
[TABLE]
By the definition of truncation operator
[TABLE]
Since is analytic in
[TABLE]
That is,
[TABLE]
Thus,
[TABLE]
- 2.
Estimate of (3.53).
Let
[TABLE]
Then we can write
[TABLE]
Then
[TABLE]
Noting By (3.33) and (3.34) with
[TABLE]
[TABLE]
Let Then by Lemmas 3.2 in Section 7, we have
[TABLE]
[TABLE]
and
[TABLE]
Note that the vector field is linear. So, by Taylor formula, one has
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
Thus,
[TABLE]
and
[TABLE]
- 3.
Estimate of (3.52)
By (3.46),
[TABLE]
Thus,
[TABLE]
Note is a quadratic polynomial in and So we write
[TABLE]
By (3.31) and (3.32) with and using (3.89) and (3.90),
[TABLE]
where is the operator norm in Recall Set
[TABLE]
Using Taylor formula to (3.95), we get
[TABLE]
By (3.89),(3.97) and (3.98), we have
[TABLE]
Similarly,
[TABLE]
- 4.
Estimate of (3.54)
[TABLE]
Write
[TABLE]
Then, by Taylor formula:
[TABLE]
where
[TABLE]
[TABLE]
Combing the last inequalities with (3.89) and (3.90), one has
[TABLE]
and
[TABLE]
Thus, let
[TABLE]
then
[TABLE]
and
[TABLE]
As a whole, the remainder can be written as
[TABLE]
where satisfies (3.33) and (3.34) with This shows that the Assumption with holds true.
By (3.50),
[TABLE]
[TABLE]
This shows that the Assumption with holds true.
3.7 Estimate of measure
In this section, denotes a universal constant, which may be different in different places. Now let us return to (3.63)
[TABLE]
Case 1.
If one has
At this time,
[TABLE]
It follows
[TABLE]
Recall . Then
[TABLE]
Case 2.
If then . So we assume in the following. Then such that
[TABLE]
It follows from (3.30) and (3.31) that
[TABLE]
When or .By (3.108), one has
[TABLE]
which implies then
[TABLE]
Now assume
[TABLE]
Note that
[TABLE]
and
[TABLE]
It follows that
[TABLE]
Then
[TABLE]
Combining (3.106), (3.109) and (3.113), we have
[TABLE]
Let
[TABLE]
Then we have proved the following Lemma 3.3.
Lemma 3.3**.**
[TABLE]
4 Proof of Theorems
Let
[TABLE]
and
[TABLE]
[TABLE]
[TABLE]
and, by (3.38),
[TABLE]
where
[TABLE]
By (3.30) and (3.31), the limit does exists and
[TABLE]
This completes the proof of Theorem 1.1.
Acknowledgements
The work was supported in part by National Nature Science Foundation of China (11601277).
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