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ORIGINAL RESEARCH article

Front. Phys., 16 April 2019
Sec. Statistical and Computational Physics
This article is part of the Research Topic Contact Interactions in Quantum Mechanics: Theory, Mathematical Aspects and Applications View all 16 articles

On the Spectra of One-Dimensional Schrödinger Operators With Singular Potentials

  • 1Instituto Politécnico Nacional, SEPI ESIME Zacatenco, Mexico City, Mexico
  • 2Instituto Politécnico Nacional, Posgrado en Tecnología Avanzada, SEPI-UPIITA, Mexico City, Mexico

The paper is devoted to the spectral properties of one-dimensional Schrödinger operators

Squ(x)=(-d2dx2+q(x))u(x),    x,    (1)

with potentials q = q0+qs, where q0L() is a regular potential, and qsD() is a singular potential with support on a discrete infinite set Y. We consider the extension H of formal operator (1) to an unbounded operator in L2(ℝ) defined by the Schrödinger operator Sq0 with regular potential q0 and interaction conditions at the points of the set Y. We study the closedness and self-adjointness of H. If the set Y has a periodic structure we give the description of the essential spectrum of operator H in terms of limit operators. For periodic potentials q0 we consider the Floquet theory of H, and apply the spectral parameter power series method for determining the band-gap structure of the spectrum. We also consider the case when the regular periodic part of the potential is perturbed by a slowly oscillating at infinity term. We show that this perturbation changes the structure of the spectra of periodic operators significantly. This works presents several numerical examples to demonstrate the effectiveness of our approach.

1. Introduction

We consider formal one-dimensional Schrödinger operators

Squ(x)=(-d2dx2+q(x))u(x),    x    (2)

with potentials q = q0 + qs, where q0L() is a regular potential and qsD() is a singular potential with support on an infinite discrete set Y. The Schrödinger operator Sq is a far-reaching generalization of the well-known Kronig-Penney Hamiltonian

H=-d2dx2+γαδ(x-γ),    α

describing the electron propagation in one-dimensional crystals [1, 2]. There exists an extensive literature devoted to the different spectral problems of one-dimensional Schrödinger operators with singular potentials (see, e.g., [39]).

Let Y={yj}j be a sequence of points yj ∈ ℝ such that yj < yj+1 for every j ∈ ℤ, ej = (yj, yj+1), j ∈ ℤ, and |ej| = yj+1yj, j ∈ ℤ, is the length of ej. We assume that

0<infj|ej|supj|ej|<.

Let the formal Schrödinger operator (2) have the potential q = q0 + qs, where q0L() and

qs(x)=yY(α(y)δ(x-y)+β(y)δ(x-y))    (3)

is a singular potential, which is a distribution in D() with support at Y. We assume that the functions α(y), β(y) belong to the space l(Y) with the norm ul(Y)=supyY|u(y)|.

Note that the operator Sq coincides with the operator Sq0 on the space C0(\Y). Following the Kurasov paper [9] we consider the extension of Sq|C0(\Y) to the unbounded operator Hq0 in L2(ℝ) defined by the Schrödinger operator Sq0 with domain DomHq0=H~2(Γ), being

H~2(Γ)={uH2(Γ):(u(y+)u(y+))=A(y)(u(y-)u(y-)), yY},

where Γ=\Y=jej, H2(Γ)=jH2(ej), being H2(ej) the Sobolev spaces of the order 2 on the intervals ej, u(y±)=limε+0u(y±ε), u(y±)=limε+0u(y±ε), and

A(y)=(a11(y)a12(y)a21(y)a22(y))

is a complex 2 × 2-matrix with entries aij(y)l(Y), i, j = 1, 2. For potential (3) the matrix A(y) is of the form

A(y)=(4-α(y)β(y)4+α(y)β(y)-4β(y)4+α(y)β(y)4α(y)4+α(y)β(y)4-α(y)β(y)4+α(y)β(y)),α(y)β(y)-4,    yY.

The following results are obtained in the paper:

1. We prove an a priori estimate for the operator Sq0 of the form

uH~2(Γ)C(Sq0uL2()+uL2()),    uH~2(Γ).

This estimate implies that the operator Hq0 is closed. Moreover, if the potential q0 and the entries of the matrix A (y) are real-valued such that det A (y) = 1 for every yY, the operator Hq0 is self-adjoint.

2. Let the set Y of the singular points of the potential q to have a periodic structure. This means that the set Y is invariant with respect to the group 𝔾 = ℓℤ, ℓ>0. Let {gm} be a sequence of points of the group 𝔾 tending to ∞. We associate with {gm} the operator-valued sequence {V-gmHq0Vgm}. We define the limit operators Hqg, which are the limits in some sense of the operator sequences {V-gmHq0Vgm}, where Vhu(x) = u(xh), x ∈ ℝ, h ∈ 𝔾 is the shift operator. Then we give the general description of the essential spectrum spessHq0 in terms of the limit operators.

3. Let every sequence 𝔾 ∋ gm → ∞ have a subsequence 𝔾 ∋ hm → ∞ defining a limit operator Hq0h. Then we prove that

spessHq0=Hq0hLim(Hq0)spHq0h,    (4)

where Lim(Hq0) is the set of all limit operators of Hq0.

4. Periodic structures. Let the potential q0(x), x ∈ ℝ, and the matrix A(y), yY, be periodic with respect to the group 𝔾 and real-valued. Moreover, we assume that det A (y) = 1 for all yY. Then Hq0 is a self-adjoint operator and formula (4) yields

spessHq0=spHq0.

On applying the Floquet transform we obtain that

spHq0={λ:|D(λ)|1},

where D(λ)=12(φ1(,λ)+(φ2)x(,λ)) is a function defined from a pair of linearly independent solutions φ1, φ2 of the Schrödinger equation Sq0u(x) = λu(x), x∈[0, ℓ), which satisfy the Cauchy conditions φ1(0, λ) = 1, (φ1)x(0,λ)=0, φ2(0, λ) = 0, (φ2)x(0,λ)=1, as well as interaction conditions at the points yY0[0,). In the paper we obtain an explicit expression for function D in terms of monodromy matrices associated to the point interactions from the singular potential (3). Entries of monodromy matrices are calculated by means of the SPPS method [10], which allows to consider arbitrary regular potentials q0 satisfying certain smoothness conditions. This approach in turn leads to an effective numerical method for calculating the edges of the spectral bands of Schrödinger operators Hq0.

5. Slowly oscillating at infinity perturbations of periodic potentials. We say that a function aL (ℝ) is slowly oscillating at infinity and belongs to the class SO(ℝ) if

limxsupxK|a(x+x)-a(x)|=0

for every compact set K ⊂ ℝ. As above we assume that the set Y is invariant with respect to the group 𝔾. We apply formula (4) for the investigation of the perturbation of the periodic operators Hq by adding to the potential q0L() a slowly oscillating term q1 ∈ SO (ℝ). Let Hq0 be a periodic operator with respect to the group 𝔾 given by the Schrödinger operator Sq0 with 𝔾-periodic real-valued potential q0 and the 𝔾-periodic real matrices A(y) satisfying det A(y) = 1 for every yY. We consider the operator Hq0+q1, where q1 ∈ SO (ℝ) is a real-valued function. Note that the operator Hq0has a band-gap spectrum

spHq0=k=1[ak,bk],    bkak+1,k.

The limit operators of the operator Hq0+q1 are of the form Hq0+q1h=Hq0+q1h, where q1h. Hence

spHq0+q1h=k=1[ak+q1h,bk+q1h].

Applying formula (4) we obtain the essential spectrum of the operator Hq0+q1 as

spessHq0+q1=k=1[ak+mq1,bk+Mq1],

where mq1=liminfxq1(x), Mq1=limsupxq1(x). Above formula shows that if the oscillation of q1 at infinity is large enough, that is ak+1bk < Mq1mq1, the gap (bk, ak+1) of the spectrum of periodic operator Hq0 disappears in spessHq0+q1. Hence, the slowly oscillating perturbations of the periodic potentials can substantially change the structure of the essential spectrum of Hq0.

6. Numerical calculation of the spectra of Schrödinger operator with periodic point interactions. We consider several examples for showing the application of the theory here presented, and calculate approximations of their corresponding spectra.

Notations

We will use the standard notations: C (ℝ) is the space of infinitely differentiable functions on ℝ, Cb() is a subspace of C(ℝ) of functions with all bounded derivatives on ℝ, D()=C0() is a subspace of C(ℝ) consisting of functions with compact support, D() is the space of distributions under D(). We denote by Hs(ℝ), s ∈ ℝ, the Sobolev space with the norm

uHs()=((1+ξ2)s|û(ξ)|2dξ)1/2,

where û(ξ) is the Fourier transform of u(x). If Ω ⊆ ℝ is an open set, then Hs (Ω) is the space of restrictions on Ω of functions on ℝ with the standard norm of restriction.

If exist, we denote the one-sided limits of f at x0 by

f(x0-):=limxx0,x<x0f(x),     f(x0+):=limxx0,x>x0f(x),

and by [f]x0:=f(x0+)-f(x0-) the (finite) jump of f at x0.

Let X, Y be Banach spaces, then B(X,Y) is the space of all bounded linear operators acting from X into Y, and K(X,Y) is a subspace of B(X,Y) consisting of all compact operators acting from X into Y. If X = Y we simply write B(X) and K(X), respectively.

Let A be an unbounded closed operator in a Hilbert space H with domain Dom(A) dense in H. The essential spectrum spessA of operator A is the set of numbers λ ∈ ℂ for which the operator A − λ is not Fredholm as an unbounded operator in H. If A is self-adjoint in H then its discrete spectrum is given by spdisA = spA\spessA, where spA denotes the spectrum of A.

2. One-Dimensional Schrödinger Operators With Point Interactions

In this section we consider one-dimensional Schrödinger operators with potentials involving a countable set of point interactions and investigate some of their functional properties such as closedness, self-adjointness, Fredholmness, as well as their essential spectrum.

2.1. A Self-Adjoint Extension of Schrödinger Operators With a Point Interaction

Let us consider a singular distribution

qs(x)=αδ(x)+βδ(x),    (5)

which represents a point interaction with support at x = 0. By the definitions

δ(x)u(x)=δ(u)δ(x)=u(0)δ(x),

and

δ(x)u(x)=δ(u)δ(x)=-u(0)δ(x),

it follows that the action of qs on the test functions in D() is defined by

qsu=αu(0)δ(x)-βu(0)δ(x).

In the study of Schrödinger operators involving point interactions we define a space of discontinuous test functions at x = 0,

D0():=C0(+¯)C0(-¯)

where ℝ±: = {x ∈ ℝ: x≷ 0}, and C0(±¯) are the spaces of restrictions on ±¯ of functions in C0(). Continuations of δ- and δ′-distributions on functions in D0(ℝ) are defined as follows

δ~(u):=u(0+)+u(0-)2,    δ~(u):=-u(0+)+u(0-)2,               uD0().

If uD() it follows that δ~(u)=δ(u) and δ~(u)=δ(u).

Let us consider the formal one-dimensional Schrödinger operator

Squ(x)=(-d2dx2+q(x))u(x),     x,    (6)

where q = qs + q0, with q0L() as a regular potential, and qsD() as a singular potential defined in (5). Note that operator Sq coincides with operator Sq0 on the space C0(\{0}). A domain Dom(Sq) of operator Sq as an unbounded operator in L2(ℝ) must consist of functions uL2(ℝ) such that SquL2(). This condition is fulfilled by functions uD0 (ℝ) satisfying at the origin the following interaction conditions

(u(0+)u(0+))=A0(u(0-)u(0-)),    A0=(4-αβ4+αβ-4β4+αβ4α4+αβ4-αβ4+αβ),αβ-4,

where matrix A0 satisfies det A0 = 1.

The embedding theorem for Sobolev space implies that if uH2(\{0}):=H2(+)H2(-) the one-sided limits u(0±), u′(0±) exist, and the jumps [u]0, [u]0 are well defined. Let Hq0 be the unbounded operator in L2(ℝ) defined by the Schrödinger operator Sq0=-d2dx2+q0 with domain Dom(Hq0)=H~2(\{0}) where

H~2(\{0})={uH2(\{0}): (u(0+)u(0+))=A0(u(0-)u(0-))}.

If q0L() is a real-valued function, A0 is a real 2 × 2-matrix, and det A0 = 1, then Hq0 is a self-adjoint operator. We will prove this result in a more general setting in forthcoming Theorem 2. Thus the unbounded operator Hq0 generated by the Schrödinger operator Sq0 with domain H~2(\{0}) is a self-adjoint extension of formal Schrödinger operator Sq0+qs.

Schrödinger operators involving point interactions of the form qs(x)=αδ(x)+βδ(x) have been considered as norm resolvent approximations of certain families of Schrödinger operators with potentials depending on parameters tending to zero. The norm resolvent convergence of such families of operators was established and a class of solvable models that approximate the quantum systems was obtained in the works [1113].

2.2. Properties of Schrödinger Operators With a Countable Set of Point Interactions

Let Y={yj}j be a sequence of real numbers such that yj < yj+1 for every j ∈ ℤ. We denote by ej: = (yj, yj+1), j∈ℤ, the corresponding interval between a pair of adjacent points yj and yj+1. The interval ej has a length |ej|: = yj+1yj, such that

0<infj|ej|supj|ej|<.

We denote

Γ:=\Y=jej,    and    H2(Γ):=jH2(ej).

Let us consider the Schrödinger operator Sq defined in (6) with the regular potential q0L(), and the singular potential

qs(x)=yY(α(y)δ(x-y)+β(y)δ(x-y)),    (7)

which is a distribution in D() with support at Y. We assume that α,βl(Y), where the space l(Y) consists of all bounded complex-valued functions on the set Y, which is equipped by the norm ul(Y):=supyY|u(y)|. Note that the operator Sq coincides with the Schrödinger operator Sq0:=-d2dx2+q0 on the space C0(Γ):=jC0(ej). Following the ideas of the work [9], the operator Sq defined on C0(Γ) is extended to an unbounded operator Hq0 in L2(ℝ) defined by the Schrödinger operator Sq0 with domain Dom(Hq0)=H~2(Γ), where H~2(Γ) is a subspace of H2(Γ) given by

H~2(Γ)={uH2(Γ):    (u(y+)u(y+))=A(y)(u(y-)u(y-)),    yY},

where

A(y)=(a11(y)a12(y)a21(y)a22(y)),    yY,

are complex 2 × 2-matrices with entries aijl(Y) (i, j = 1, 2). In the case of potential (7), the corresponding matrices are of the form

A(y):=(4-α(y)β(y)4+α(y)β(y)-4β(y)4+α(y)β(y)4α(y)4+α(y)β(y)4-α(y)β(y)4+α(y)β(y)),     α(y)β(y)-4,yY,

which satisfy det A (y) = 1, for every yY.

If the conditions:

1. regular potential q0L(), and

2. matrices A(y)=(aij(y))i,j=12 are such that aijl(Y) for every yY

are fulfilled, then the operator Sq0 is bounded from H~2(Γ) into L2(ℝ). Let us consider the following results for Schrödinger operators involving a countable set of point interactions.

Theorem 1 (An a priori estimate). Let infj|ej|>0, and conditions (1), (2) be satisfied. Then, there exists a constant C>0 such that for every function uH~2(Γ) the following estimate

uH~2(Γ)C(Sq0uL2()+uL2())    (8)

holds.

Proof. A priori estimate (8) is proved similarly as in the theory of general boundary-value problems (see, e.g., [14]), but instead of a finite partition of unity we use a countable partition of unity of finite multiplicity. The proof is similar to that of Theorem 3.1 in Rabinovich [15].

Theorem 1 implies the following propositions.

Proposition 1 (Closedness). Let conditions (1), (2) hold. Then, the operator Hq0 is closed in L2(ℝ).

Proposition 2 (Parameter dependent Schrödinger operators). Let

Sμ2u(x):=-d2u(x)dx2+μ2u(x),    xΓ,μ>0

be a Schrödinger operator acting from H~2(Γ) into L2(ℝ). We assume that the entries of matrices A(y), yY, are real-valued, and liminfy → ∞|a12(y)| > 0 or there exists a finite set NY such that a12(y) = 0 for every yY\N. Then, there exists μ0 > 0 such that the operator Sμ2:H~2(Γ)L2() is invertible for every μμ0.

Proof: To prove this proposition we follow the approach of the well-known paper [16] where the authors studied general elliptic boundary-value problems depending on a parameter in bounded domains in ℝn. Similarly to the proof of Theorem 1, here we use a partition of unity and construct local inverses depending on a parameter, and then we form the global inverse operator by sticking these inverses for large values of the parameter. Unlike the paper [16], here we use a countable partition of unity of finite multiplicity, and follow the proof of Proposition 2 in Rabinovich [17].

Theorem 2 (Self-adjointness). Let q0L() be real-valued, and let matrices A(y)=(aij(y))i,j=12 possess real-valued entries aijl(Y). We assume: (i) liminfy → ∞|a12(y)| > 0 or there exists a finite set NY such that a12(y) = 0 for every yY\N; (ii) det A(y) = 1, for every yY. Then, the unbounded operator Hq0 defined by the Schrödinger operator Sq0=-d2dx2+q0 with domain H~2(Γ) is self-adjoint in L2(ℝ).

Proof: Let u,vDom(Hq). On applying integration by parts twice we obtain

ΓSqu(x)v¯(x)dx=Γu(x)Sqv¯(x)dx+yY([uv¯]y-[uv¯]y).

Note that

[uv¯]y-[uv¯]y=(u(y+)v¯(y+)-u(y-)v¯(y-))                                -(u(y+)v¯(y+)-u(y-)v¯(y-))                                =det(u(y+)v¯(y+)u(y+)v¯(y+))-det(u(y-)v¯(y-)u(y-)v¯(y-))                               =(detA(y)-1)det(u(y-)v¯(y-)u(y-)v¯(y-))=0,    yY,

where we have used the condition det A (y) = 1. Hence, the operators -d2dx2 and Sq0 with domain H~2(Γ) are symmetric operators in L2(ℝ). It follows from Proposition 2 that there exists μ0 > 0 such that Sq0+μ02:H~2(Γ)L2() is an isomorphism. To prove that Hq0+μ02 with domain H~2(Γ) is a self-adjoint operator in L2(ℝ) we have to show that Dom((Sq0+μ02)*)=Dom(Sq0+μ02). Since Sq0+μ02 is a symmetric operator Dom(Sq0+μ02)Dom((Sq0+μ02)*). Assume that uDom((Sq0+μ02)*), then (Sq0+μ02)*u=fL2(). Since Sq0+μ02:Dom(Sq0)L2() is an isomorphism, there exists vDom(Sq0+μ02) such that (Sq0+μ02)v=f. Since Dom(Sq0+μ02)Dom((Sq0+μ02)*) we obtain that (Sq0+μ02)*v=f. Hence

u-vker(Sq0+μ02)*=(Im(Sq0+μ02))={0}.

Therefore, u=vDom(Sq0+μ02) and Dom(Sq0+μ02)=Dom((Sq0+μ02)*). Thus, Sq0+μ02 is a self-adjoint operator in L2(ℝ) with domain Dom(Sq0)=H~2(Γ). Note that the operator of multiplication by μ02 is strongly dominated by the operator Sq0 (see, e.g., [18, p. 73]). Hence, Hq0 with domain H~2(Γ) is a self-adjoint operator.

2.3. Fredholm Property and Essential Spectrum of Schrödinger Operators With Point Interactions

In this subsection we give the necessary and sufficient conditions of Fredholmness for Schrödinger operators Sq0:H~2(Γ)L2() with point interactions in terms of limit operators. We apply these results to the description of the essential spectrum of the corresponding unbounded operators Hq0. Through this subsection we assume that the sequence of points Y={yj}j where the singular potential qs is supported is periodic with respect to the group 𝔾 = ℓℤ, ℓ > 0. We also assume that matrices YyA(y) are periodic with respect to 𝔾.

Definition 1. A potential q0L() is said to be rich if for every sequence g = (gm), 𝔾 ∋ gm → ∞, there exists a subsequence h = (hm), hm → ∞, and a limit function q0hL() such that for every segment [a, b] ⊂ ℝ

limmsupx[a,b]|q0h(x)-q0(x+hm)|=0.

Definition 2. The Schrödinger operator Sq0h:H~2(Γ)L2() defined by

Sq0hu(x):=(-d2dx2+q0h(x))u(x),     xΓ,

with a limit function q0h replacing the rich potential q0 is called a limit operator of Sq0:H~2(Γ)L2(). The set of all limit operators of Sq0 is denoted by Lim(Sq0).

Let φC0() such that 0 ≤ φ(x) ≤ 1, where φ(x) = 1 if |x|12, and φ(x) = 0 if |x|≥1. Let φR(x) = φ(x/R), and ψR(x) = 1−φR(x).

Theorem 3. Let q0L() be a rich potential, and let matrices YyA(y) be 𝔾-periodic. Then Sq0:H~2(Γ)L2() is a Fredholm operator if and only if all limit operators Sq0h:H~2(Γ)L2() are invertible.

Proof: One can prove that the operator Sq0:H~2(Γ)L2() is locally Fredholm, that is for every R > 0 there exist operators LR,RRB(L2(),H~2(Γ)) such that

LRSq0φR=φR+TR(1),    φRSq0RR=φR+TR(2),

where TR(1)K(H~2(Γ)), and TR(2)K(L2()) since Sq0 is an elliptic operator. Hence, in order to prove that Sq0:H~2(Γ)L2() is a Fredholm operator we have to study the local invertibility of Sq0 at infinity, i.e., we have to prove that there exists R0 > 0 and operators LR0,RR0B(L2(),H~2(Γ)) such that

LR0Sq0ψR0=ψR0,    ψR0Sq0RR0=ψR0.

Let μ0 > 0 be such that the operator Sμ02:H~2(Γ)L2() is an isomorphism. We set

A=Sq0Sμ02-1:L2()L2().

It is easy to prove that Sq0:H~2(Γ)L2() is locally invertible at infinity if and only if A is locally invertible at infinity. For the study of local invertibility at infinity we use the results of the book [19], and the work [20].

Let ϕCb(), and ϕt(x) = ϕ(tx), t∈ℝ. Then it is easy to prove that

limt0[ϕt,A]=limt0ϕtA-Aϕt=0,

that is, A belongs to the C*-algebra of so-called band-dominated operators in L2(ℝ) (see, e.g., [20]). We introduce the limit operators of A as follows. For 𝔾 ∋ hm → ∞ let Vhmu(x): = u(xhm) be the corresponding sequence of shift operators. We say that Ah is a limit operator defined by the sequence h = (hm) if

      (V-hmAVhm-Ah)φB(L2())=φ(V-hmAVhm-Ah)B(L2())=0    (9)

for every φC0(). One can see that

V-hmAVhm=V-hmHq0VhmSμ02-1.    (10)

Formulas (9), (10) imply that

Ah=Sq0hSμ02-1.

Moreover, since the potential q0 is rich the operator A is rich, that is, every sequence g = (gm) of 𝔾 tending to infinity has a subsequence h = (hm) tending to infinity that defines the limit operator Ah. It follows from the results of Rabinovich et al. [19] and Lindner and Seidel [20] that the operator A is locally invertible at infinity if and only if all limit operators Ah are invertible. Since Sμ02:H~2(Γ)L2() is an isomorphism, this yields the statement of the theorem.

Theorem 3 leads to the following description of the essential spectrum of operator Hq0.

Theorem 4. Let q0L() be a rich potential, and let the matrices YyA(y) be 𝔾-periodic. Then

spessHq0=Hq0hLim(Hq0)spHq0h,    (11)

where Hq0h is the limit operator of Hq0 defined as an unbounded operator in L2(ℝ), generated by the Schrödinger operator Sq0h with domain H~2(Γ).

3. Spectral Analysis of Periodic Schrödinger Operators With Point Interactions

In this section we study the band-gap spectra of periodic Schrödinger operators with point interactions by using the Floquet transform (see e.g., [21]). We also analyze the case when the regular potential q0 is perturbed by a slowly oscillating at infinity term by means of the limit operators method, and provide expressions for the essential spectrum of corresponding Schrödinger operator.

3.1. Periodic Schrödinger Operators With Point Interactions

From now on we will assume that:

1. the sequence of points Y={yj}j on which the singular potential qs is supported is periodic with respect to the group 𝔾 = ℓℤ, ℓ>0;

2. the matrices A(y)=(aij(y))i,j=12 are periodic with respect to the group 𝔾, that is, A(y +g) = A (y) for every g ∈ 𝔾 and yY. The entries aijl(Y) of the matrices are such that det A (y) = 1 for every yY; and

3. the potential q0 is a real-valued, piecewise continuous function, periodic with respect to the group 𝔾.

Let Γ0: = [0, ℓ), and 𝔹 = [−π/ℓ, π/ℓ) be the reciprocal unit cell (also known as Brillouin zone) of Γ0. Let Y0:=YΓ0={y1,,yn} be the set of points of discontinuity inside Γ0, which satisfy 0 < y1 < ⋯ < yn < ℓ. We also assume that the finite jumps [q0]yj, not necessarily zero, are well-defined.

From conditions (1–3) and Theorem 3 it follows that the operator Hq0 with domain H~2(Γ) is self-adjoint in L2(ℝ). Moreover, the operator Sq0 is invariant with respect to the shifts on the elements of the group 𝔾, that is

VgSq0u(x)=-d2u(x+g)dx2+q0(x+g)u(x+g)                      =-d2u(x+g)dx2+q0(x)u(x+g)=Sq0Vgu(x),    

for every g ∈ 𝔾. Since VgSq0 = Sq0Vg, and from (11), it yields that spessHq0=spHq0, and spdisHq0=Ø. In addition, the operator Sq0 is semi-bounded from below, that is

Sq0u,umq0uL2()2,

where mq0:=infxq0(x). This implies that

spHq0[mq0,+).

We introduce the Hilbert space H:=L2(Γ0,L2(𝔹)) of vector-valued functions with components in L2(Γ0), which is equipped by the norm

uH=(Γ0u(x,·)L2(𝔹)2dx)1/2.

The Floquet transform is the map F:L2()H defined for functions f that decay sufficiently fast by

(Ff)(x,θ)=f~(x,θ):=12παf(x-α)eiαθ, x,θ𝔹,

where the parameter θ is often called the quasi-momentum. The Floquet transform is an isometry from L2(ℝ) to H, whose inverse is given by

(F-1f~)(x)=12π𝔹f~(x,θ)dθ.

Let us consider the problem

Hq0u(x)=λu(x),    uH~2(Γ),    (12)

where λ ∈ ℝ is the spectral parameter. The Floquet transform applied to (12) gives a spectral problem depending on the parameter θ ∈ 𝔹, defined by the differential equation

Sq0u~(x,θ)=λu~(x,θ),    x(0,)\Y0,θ𝔹,

with the interaction conditions at the discontinuity points

(u~(y+,θ)u~x(y+,θ))=A(y)(u~(y-,θ)u~x(y-,θ)),    yY0,

and the quasi-periodic conditions

u~(,θ)=eiθu~(0,θ),    u~x(,θ)=eiθu~x(0,θ).

The operator Sq0=FSq0F-1 is represented as the orthogonal sum

Sq0=FSq0F-1=θBSq0θ,    (13)

where

Sq0θu(x,θ):=-d2u(x,θ)dx2+q0(x)u(x,θ),    x(0,)\Y0.

For each θ ∈ 𝔹, the operator Sq0θ defines an unbounded operator Hq0θ in L2(Γ0) with domain Dom(Hq0θ)=H~2(Γ0\Y0), where

      H2(Γ0\Y0)={uH2(Γ0\Y0):    (u(y+,θ)ux(y+,θ))=A(y)(u(y,θ)ux(y,θ)),yY0,      u(,θ)=eiθu(0,θ),ux(,θ)=eiθux(0,θ),θB}.

Operators Hq0θ, θ ∈ 𝔹, with domain H~2(Γ0\Y0) have discrete spectra

spHq0θ={λ1(θ)<λ2(θ)<<λj(θ)<},

where λj(θ) are continuous functions on 𝔹. Expression (13) implies that

spHq0=θ𝔹spHq0θ.    (14)

If the image of the Brillouin zone 𝔹 under λj is [aj, bj], ajbj, j ∈ ℕ, then formula (14) gives

spHq0=j=1[aj,bj],    (15)

that is, the spectrum of Schrödinger operator Hq0 with 𝔾-periodic potential q0 involving point interactions has a band-gap structure.

3.2. Spectral Analysis of Periodic Schrödinger Operators With Point Interactions

For each θ ∈ 𝔹 we define the spectral problem

Hq0θu(x,θ)=λ(θ)u(x,θ),    uH~2(Γ0\Y0).

Solutions of this problem are sought in the form

u(x,θ;λ)=C1(θ,λ)φ1(x,λ)+C2(θ,λ)φ2(x,λ),

where C1, C2 are arbitrary coefficients, and φ1, φ2 are linearly independent solutions of the Schrödinger equation

Sq0u=λu,    x(0,)\Y0

satisfying the interaction conditions

(u(y+)ux(y+))=A(y)(u(y-)ux(y-)),    yY0,

as well as the initial conditions

φ1(0,λ)=1,(φ1)x(0,λ)=0,      (16a)
φ2(0,λ)=0,(φ2)x(0,λ)=1.    (16b)

By the Liouville identity, the Wronskian of φ1 and φ2 satisfies

      det(φ1(0,λ)φ2(0,λ)(φ1)x(0,λ)(φ2)x(0,λ))=det(φ1(x,λ)φ2(x,λ)(φ1)x(x,λ)(φ2)x(x,λ))=1,      x[0,]\Y0.

From the quasi-periodic property

u(,θ)=eiθu(0,θ),    ux(,θ)=eiθux(0,θ)

we obtain the following system of equations

C1(θ,λ)φ1(,λ)+C2(θ,λ)φ2(,λ)=eiθC1(θ,λ),      (17a)
C1(θ,λ)(φ1)x(,λ)+C2(θ,λ)(φ2)x(,λ)=eiθC2(θ,λ),    (17b)

with C1, C2 as unknowns. System (17) implies that (C1(θ,λ)C2(θ,λ)) is an eigenvector of the monodromy matrix

M(λ)=(φ1(,λ)φ2(,λ)(φ1)x(,λ)(φ2)x(,λ))

associated to the eigenvalue μ: = eiθℓ. In order for system (17) to possess non-trivial solutions its determinant must vanish, that is

det(φ1(,λ)-μφ2(,λ)(φ1)x(,λ)(φ2)x(,λ)-μ)=0

This leads to the dispersion equation

μ2-2μD(λ)+1=0,    (18)

where

D(λ):=12(φ1(,λ)+(φ2)x(,λ)).

Equation (18) has solutions of the form μ: = eiθℓ, θ ∈ 𝔹, if and only if |D(λ)| ≤ 1. Hence, the spectrum of Hq0 is given by

spHq0={λ:|D(λ)|1},

and the edges of the spectral bands of spHq0 are solutions λedge ∈ ℝ of the equation

|D(λedge)|=1.

3.3. Periodic Potentials Perturbed by Slowly Oscillating at Infinity Terms

A function aL (ℝ) is slowly oscillating at infinity if the limit

limxsupyK|a(x+y)-a(x)|=0

holds for every compact set K ⊂ ℝ. We denote by SO (ℝ) the class of such functions. One can prove (see, e.g., [19, Chap. 3.1]) that all limit functions ah of a ∈ SO (ℝ) defined by the sequence 𝔾 ∋ hm → ∞ are real constants.

Let us consider a Schrödinger operator Hq:H~2(Γ)L2() with a perturbed potential q = q0+q1 consisting of a periodic part q0L() satisfying conditions (3), and a real-valued perturbation q1 ∈ SO (ℝ). The result of Theorem 4 can be used for analyzing the essential spectrum of Hq. Note that the spectrum of operator Hq0 has a band-gap structure according to (15). The limit operators of Hq=Hq0+q1 are of the form Hqh=Hq0+q1h, where q1h. Therefore

spHq0+q1h=j=1[aj+q1h,bj+q1h].

On considering formula (11) and previous expression we obtain the essential spectrum of perturbed operator Hq=Hq0+q1, that is

spessHq=j=1[aj+mq1,bj+Mq1],    (19)

where

mq1:=lim infxq1(x),    Mq1:=lim supxq1(x).

Formula (19) implies that some spectral bands of spessHq may overlap depending on the intensity of the perturbation q1. Let (bl+Mq1,al+1+mq1), l ∈ ℕ, be a gap of spessHq, hence if the relation

Mq1-mq1>al+1-bl    (20)

holds the gap will disappear due to the merging of the adjacent bands. If condition (20) is satisfied for all l ∈ ℕ, all spectral gaps of spessHq will disappear resulting a continuous spectrum, that is

spessHq=[a1+mq1,+), and spdisHq[mq0,a1+mq1).

4. Dispersion Equation for Periodic Schrödinger Operators With Point Interactions

In this section we determine the function D(λ) from a set of monodromy matrices specified at the points where the singular potential is supported in the fundamental domain Γ0. We also apply the spectral parameter power series method [10] to derive a numerical method for calculating the spectral bands of Schrödinger operators Hq0 with arbitrary regular potentials q0 satisfying certain smoothness conditions.

4.1. Calculation of Function D(λ) in Terms of Monodromy Matrices

We begin by determining a general solution of the equation

-d2u(x)dx2+q0(x)u(x)=λu,     x(0,)\Y0,    (21)

satisfying the interaction conditions

(u(yj+)u(yj+))=A(yj)(u(yj-)u(yj-)),A(yj)=(4-αjβj4+αjβj-4βj4+αjβj4αj4+αjβj4-αjβj4+αjβj),αjβj-4,

at the points of discontinuity yjY0 (j = 1, ⋯ , n). By abusing the notation, we set y0≡0, and yn+1≡ℓ. The interval between two adjacent points of discontinuity yj, yj+1 is denoted by ej = (yj, yj+1) (j = 0, ⋯ , n). Let ϕ1, j, ϕ2, j (j = 0, ⋯ , n) be a pair of linearly independent solutions of Equation (21) on the interval ej, which satisfy the Cauchy conditions

ϕ1,j(yj)=1,ϕ2,j(yj)=0,    (22a)
ϕ1,j(yj)=0,ϕ2,j(yj)=1.

From these solutions we define the monodromy matrices

Mj,j+1:=(ϕ1,j(yj+1)ϕ2,j(yj+1)ϕ1,j(yj+1)ϕ2,j(yj+1)),j=0,,n.

Let uej = u|ej (j = 0, ⋯ , n) be the restriction of solution u of Equation (21) on ej, which can be written as

uej(x)=uej(yj)ϕ1,j(x)+uej(yj)ϕ2,j(x),    xej.

Hence, on the full interval [0, ℓ), a general solution of Equation (21) is given by the piecewise continuous function

u(x)={ue0(y0)ϕ1,0(x)+ue0(y0)ϕ2,0(x),0x<y1,ue1(y1)ϕ1,1(x)+ue1(y1)ϕ2,1(x),y1<x<y2,uen(yn)ϕ1,n(x)+uen(yn)ϕ2,n(x),yn<x<,

where the coefficients uej(yj) and uej(yj) (j = 1, ⋯ , n) are given in a matrix form by

(uej(yj)uej(yj))=Aj(uej-1(yj)uej-1(yj))=AjMj-1,jA1M0,1(ue0(y0)ue0(y0)),    j=1,,n.    (23)

The restriction uen and its derivative uen evaluated at x = ℓ gives the matrix relation

(uen()uen())=Mn,n+1(uen(yn)uen(yn)).    (24)

By plugging formulas (23) and (24) we obtain the expression

(u(;λ)u(;λ))=T(λ)(u(0;λ)u(0;λ))=(T11(λ)T12(λ)T21(λ)T22(λ))(u(0;λ)u(0;λ)),

where T: = Mn, n+1AnMn−1, nA2M1, 2A1M0, 1 is a 2 × 2-matrix called the transmission matrix.

Therefore, solutions φ1 and φ2 that fulfill conditions (16) satisfy the matrix equations

(φ1(,λ)(φ1)x(,λ))=T(λ)(10)=(T11(λ)T21(λ)),(φ2(,λ)(φ2)x(,λ))=T(λ)(01)=(T12(λ)T22(λ)),

thereby the function D(λ) can be written in the form

D(λ)=12(T11(λ)+T22(λ)).    (25)

4.2. Some Solvable Models With Periodic Singular Potentials

If the potential q0 vanishes identically on ℝ it is possible to obtain exact solutions of Equation (21) on the interval ej = (yj, yj+1). One can see that ϕ1,j(x,λ)=cosλ(x-yj), ϕ2,j(x,λ)=1λsinλ(x-yj) are solutions of the Schrödinger equation for a free-particle

-d2u(x)dx2=λu,    xej,j=0,1,n,

with energy λ, which satisfy Cauchy conditions (22). In this case, monodromy matrices read

Mj,j+1(λ)=(cosλ|ej|1λsinλ|ej|-λsinλ|ej|cosλ|ej|),j=0,,n.

Periodic Potential With Only δ-Distributions

The periodic potential involving only Dirac delta distributions

qδ(x)=nαδ(x-(n+12)),    α    (26)

defines at each singular point yY the interaction matrix

Aα(y)=(10α1).    (27)

Let Hδ be the Hamiltonian defined by the ℓ-periodic potential qδ(x). In this case Y0={/2}, that is, y0 = 0, y1 = ℓ/2, and y2 = ℓ, thereby the transmission matrix reads

Tδ(λ)=M1,2(λ)AαM0,1(λ)=(cosλ+α2λsinλ1λsinλ+αλsin2λ/2αcos2λ/2-λsinλcosλ+α2λsinλ),

hence, the spectrum spHδ of Hamiltonian Hδ consists of λ ∈ ℝ satisfying

-1cosλ+α2λsinλ1.

This is the so-called Kronig-Penney model (see [1, 2] and [4, §III.2.3]) that describes the non-relativistic interaction of electrons in a fixed crystal lattice, with ions represented by δ-distributions.

Periodic Potential With Only δ′-Distributions

Consider the periodic singular potential

qδ(x)=nβδ(x-(n+12)),    β

with the following matrix

Aβ(y)=(1-β01)

defined at the each singular point yY. Like in the previous case only one point interaction lies inside the fundamental domain Γ0, i.e., Y0={/2}. Let Hδ be the Hamiltonian defined by the periodic potential qδ(x). The corresponding transmission matrix is

Tδ(λ)=M1,2(λ)AβM0,1(λ)=(cosλ+β2λsinλ1λsinλ-βcos2λ/2-λsinλ-βλsin2λ/2cosλ+β2λsinλ).

Hence, the spectrum spHδ of Hamiltonian Hδ consists of λ ∈ ℝ satisfying

-1cosλ+β2λsinλ1.

This is the analogous of the Kronig-Penney relation (28), [4, Chap. III.3].

The analysis of problems involving δ′-interactions has gained interest over the years [2224]. In particular, the spectral analysis of Wannier-Stark Hamiltonians including a countable set of δ′-interactions lead to models for describing high-energy scatterers with vanishing transmission amplitudes as the wave-number k → ∞ (see, e.g., [2529]).

4.3. Spectral Parameter Power Series Method for the Calculation of Function D(λ)

In previous subsection it was defined a set of monodromy matrices for the points Y0{0} from which a transmission matrix T is defined. This leads to a neat expression for the function D(λ), defined in (25). Given a potential q0 with discontinuities at the points Y0, obtaining solutions ϕ1, j, ϕ2, j (j = 0, ⋯ , n) of Schrödinger equation (21) in the intervals ej (j = 0, ⋯ , n) could be a challenging task. However, it is always possible to apply some numerical method for calculating approximations ϕ~1,j, ϕ~2,j of the solutions. Nonetheless, if the potential q0 satisfies certain smoothness conditions it is possible to obtain exact solutions of the equation in the form of power series of the spectral parameter. Here we employ the SPPS method [10, 30] for constructing the entries of transmission matrix T from which we construct function D(λ).

Let u0, j be a particular solution of the equation

-d2u0,j(x)dx2+q0,j(x)u0,j(x)=0,     xej,

such that u0,j2,1/u0,j2C(ej¯), where q0, j: = q0|ej (j = 0, ⋯ , n) is the restriction of potential q0 on the interval ej. Then a general solution of (21) on ej (j = 0, ⋯ , n) has the form

uj(x)=c1u1,j(x)+c2u2,j(x),     xej,

where c1, c2 are arbitrary coefficients,

u1,j(x)=u0,j(x)k=0λkX~j(2k)(x),u2,j(x)=u0,j(x)k=0λkXj(2k+1)(x),    (29)

with the functions X~j(n), Xj(n) defined by the recursive integration

X˜j(0)1,      X˜j(n)(x)={yjxX˜j(n1)(s)u0,j2(s)ds,n odd, yjxX˜j(n1)(s)1u0,j2(s)ds,n even,     (30a)
Xj(0)1,    Xj(n)(x)={yjxXj(n1)(s)1u0,j2(s)ds,n odd,yjxXj(n1)(s)u0,j2(s)ds,n even.    (30b)

Moreover, series (29) converge uniformly on ej¯. From the recursive integration procedure we deduce that solutions u1, j, u2, j satisfy the conditions

u1,j(yj)=u0,j(yj),    u1,j(yj)=u0,j(yj),u2,j(yj)=0,                u2,j(yj)=-1u0,j(yj).

We can see that the following solutions

ϕ1,j(x)=1u0,j(yj)u1,j(x)+u0,j(yj)u2,j(x),ϕ2,j(x)=-u0,j(yj)u2,j(x)

fulfill conditions (22). Hence, the monodromy matrices can be calculated from the matrix expressions

Mj,j+1(λ)=Vj(λ)Uj,    j=0,,n,

where

Uj:=(1u0,j(yj)0u0,j(yj)-u0,j(yj)),    andVj(λ):=(u1,j(yj+1;λ)u2,j(yj+1;λ)u1,j(yj+1;λ)u2,j(yj+1;λ))j=0,,n.

In the numerical implementation of the problem, power series (29) should be truncated up to a finite number of terms. Let u~1,j, u~2,j be the truncated versions of u1, j, u2, j, respectively, which are given by the sums

u~1,j(x)=u0,j(x)k=0NλkX~j(2k)(x),u~2,j(x)=u0,j(x)k=0NλkXj(2k+1)(x).

From these approximate solutions we construct approximate matrices V~j(λ) (j = 0, ⋯ , n), and approximate monodromy matrices as follows

M~j,j+1(λ)=V~j(λ)Uj,    j=0,,n,

from which we obtain an approximation of the transmission matrix

T~:=M~n,n+1AnM~n-1,nA2M~1,2A1M~0,1,

thereby, function D(λ) is approximated by

D~(λ)=12(T~11(λ)+T~22(λ)).    (31)

Regarding the accuracy of approximate solutions u~1,j, u~2,j, a rough estimation of the tail of u1, j is given by (see [10])

|u1,j-u~1,j|=max|u0,j||coshζj-k=0Nζjk(2k)!|,

where

ζj:=|λ|(max|u0,j2|)(max|1u0,j2|)|yj+1-yj|2.

The corresponding estimation of the tail of u2, j involves the tail of the function sinhζj. According to these expressions, the error associated to u~1,j mainly depends on the value of the spectral parameter λ, and on the length of the interval ej. If a number N of terms does not provides the required accuracy, the interval ej can be subdivided, and the resulting initial value problems should be sequentially solved. The particular solution u0, j also influences the accuracy of u~1,j, u~2,j. This solution can be obtained by means of numerical techniques, or by the SPPS method itself [10].

Given that the error increases for the large values of λ, a shifting of the spectral parameter (29) can be implemented for reducing the error. More precisely, if u0, j is a solution of the equation

-d2u0,j(x)dx2+q0,j(x)u0,j(x)=λ0u0,j(x)     xej,

corresponding to λ = λ0, then the series

u1,j(x)=u0,j(x)k=0(λ-λ0)kX~j(2k)(x),u2,j(x)=u0,j(x)k=0(λ-λ0)kXj(2k+1)(x)

satisfy equation (21) in the interval ej (j = 0, ⋯ , N).

5. Numerical Examples

In this section we employ the SPPS approach for the calculation of the band edges of the spectral bands of periodic Schrödinger operators with point interactions. For this aim we use the approximate version D~(λ) of the function D(λ) given by (33), and fix N = 200 as the number of terms in the approximate solutions u~1,j and u~2,j. This implies calculating finite sets of formal powers {X~j(k)}k=02N and {Xj(k)}k=02N+1 according to recursive integration procedure (30). We employ of Wolfram Mathematica for the numerical study of the spectra of the examples considered in this section. For accurately handling the upper formal powers, even the double-precision floating-point format is not enough, nonetheless Wolfram Mathematica provides the instruction SetPrecision[] for increase the precision of the numbers. In this work we fix the precision of numerical results up to 100 decimal places. For the numerical implementation of our approach we distinguish two main parts, namely, calculating the formal powers, and searching for the zeros of the equation

|D~(λedge)|=1

that define the band edges.

For calculating the formal powers, the integrands are numerically handled by an array of their values at a discrete set Ωjej¯ of M + 1 points. These values are interpolated by cubic splines with the instruction Interpolation[], and then integrated by the instruction Integrate[]. Here we have segmented each ej¯ into M = 2, 000 parts. Once formal powers are computed, approximate monodromy matrices M~j,j+1(λ) are determined from the functions ϕ~1,j(x) and ϕ~2,j(x), which were calculated at the points of Ωj. In turn these matrices lead to the approximate transmission matrix T~ that defines the function D~(λ) according to (33). Calculating the band edges reduces to calculating the polynomial roots of D~(λ)±1=0. We use the instruction FindRoot[] to search for numerical solutions of the polynomial equations near the real axis of the complex λ-plane. We prescribe a small tolerance ε>0 such that if the imaginary part of a root λj satisfies |ℑλj| ≤ ε then its real part can be considered as an approximate band edge, that is, λ~edge=λj.

Example 1 (Kronig-Penney model). Let us consider the Kronig-Penney model with the singular potential specified by (26). It was shown that transmission matrix in this case reads T(λ) = M1, 2(λ)AαM0, 1(λ), where matrix Aα is defined in (27). For showing the accuracy of the SPPS approach, in this example we compare the zeros from of the approximate equations D~(λ)±1=0 and those obtained from the exact Kronig-Penney relation (28), where we take α = 10 and ℓ = 1, see Figure 1. In Table 1 we can see that the results coincide in at least eight decimal places in the least accurate results, and up to fourteen decimal places in the most accurate result. The loss in accuracy is due to the fact that truncated power series with center at λ = 0 depart from exact solutions as |λ| increases. The accuracy of the results can be improved by either increasing the number of subdivisions of the intervals ej¯, by increasing the number N of terms of the truncated series, or by means of the shifting of the spectral parameter, in which power series are expanded about another center λ0 ≠ 0, as was explained above.

FIGURE 1
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Figure 1. Plot of the approximate function D~(λ) for the Kronig-Penney model from Example 1.

TABLE 1
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Table 1. Some spectral bands of the Kronig-Penney model calculated from the SPPS approach and the exact expression (28).

Example 2 (Potential without point interactions). Suppose that operator Sq has a potential q consisting on only the regular part q0 defined by

q0(x)=-2-sech(x-2),    0x<4,    (32a)
q0(x+4)=q0(x),    x.    (32b)

It follows that n = 0, ℓ = 4, and Y0=Ø. Operator Sq0 defines an unbounded operator Hq0 in L2(ℝ) with domain H2(ℝ). The transmission matrix is given by T = M0, 1, where the monodromy matrix

M0,1(λ)=(ϕ1(;λ)ϕ2(;λ)(ϕ1)x(;λ)(ϕ2)x(;λ))

is defined from a pair of solutions ϕ1, ϕ2 of the equation Sq0u = λu, 0 < x < ℓ, satisfying the Cauchy conditions ϕ1(0;λ) = 1, ϕ1(0;λ)=0, ϕ2(0;λ) = 0, ϕ2(0;λ)=1. In this example the function D(λ)=12(ϕ1(;λ)+(ϕ2)x(;λ)) is approximated by the SPPS approach described in subsection 4.3. In Figure 2 we can see the plot of the approximate function D~(λ) and its intersections with the horizontal lines ±1 that define the spectral bands [aj, bj]. In Table 2 we observe some spectral bands of Hq0, whose edges were calculated from the zeros of the equations D~(λ)±1=0. The fourth and fifth columns of the table show the widths of the bands and the gaps, respectively. We can see a monotonically increasing of the band widths, while the gaps monotonically decrease. Such a behavior is a characteristic of smooth periodic potentials (see, e.g., [31]) The considered potential q0 is smooth except at a countable set of points of the form xk = kℓ, k ∈ ℤ, nonetheless the potential is continuous at these points.

FIGURE 2
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Figure 2. Plot of the approximate function D~(λ) from Example 2.

TABLE 2
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Table 2. Some spectral bands [aj, bj] of the Hamiltonian Hq0 from Example 2.

Example 3 (Potential including δ-interactions). Let the potential q of Schrödinger operator Sq be a π-periodic function defined by

q(x)=q0+n2δ(x+(n+12)π),

where the regular potential is the piecewise continuous periodic function

q0(x)={sin(2x)+1,0x<π/2,1,π/2x<π,    (33a)
q0(x+π)=q0(x),    x.    (33b)

It follows that n = 1, ℓ = π, and Y0={π/2}. The transmission matrix is given by T(λ) = M1, 2(λ)A1M0, 1(λ), where

A1=(1021).

The approximation of function D(λ)=12(T11(λ)+T22(λ)) obtained by the SPPS approach is plotted in Figure 3. In Table 3 we observe some spectral bands of Hq0, whose edges were calculated from the zeros of the equations D~(λ)±1=0. According to the fourth and fifth columns of the table we can see that both the band widths and gaps have a tendency to grow. Moreover, the band-to-gap ratio also has an exponential tendency to grow. This characteristic is shared by operators with singular potentials including point interactions (cf. [25]).

FIGURE 3
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Figure 3. Plot of the approximate function D~(λ) from Example 3.

TABLE 3
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Table 3. Some spectral bands [aj, bj] of the Hamiltonian Hq0 from Example 3.

Example 4 (Potential including δ′-interactions). Let us consider a periodic potential q involving δ′-interactions

q(x)=q0+n(δ(x+n+14)+2δ(x+n+12)),

where the regular potential is defined by

q0(x)=4x-2,    q0(x+1)=q0(x),    x.    (34)

In this example n = 2, ℓ = 1, and Y0={14,12}. The transmission matrix is given by

T(λ)=M2,3(λ)A2M1,2(λ)A1M0,1(λ),    (35)

where

A1=(1-101),    A2=(1-201).

The approximate function D~(λ) obtained from the SPPS approach is plotted in Figure 4. In this case the spectral bands are indicated by thin vertical strips in the plot. In Table 4 we observe some spectral bands of Hq0 calculated from the zeros of the equations D~(λ)±1=0. The table shows a narrowness of the bands compared with the large gaps, which can be understood on the fact that at the high values of λ the unit cells of the periodic problem get decoupled since δ′-interaction approximates to Neumann conditions [25, 26]. We also observe that the peaks of the plot of D~ are dominated by a straight line with positive slope, which accounts for the increasing gaps of the spectrum. The considered problem has spectral properties that resemble those of Wannier-Stark ladders for a periodic array of δ′-scatterers [26]. These observations agree with the spectra of systems with periodically distributed δ′-distributions (see, e.g., [22, 27, 28]).

FIGURE 4
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Figure 4. Plot of the approximate function D~(λ) from Example 4.

TABLE 4
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Table 4. Some spectral bands [aj, bj] of the Hamiltonian Hq0 from Example 4.

Example 5 (Potential including both δ- and δ′-interactions). In this example we consider the following periodic potential

q(x)=q0+n(2δ(x+n+14)-2δ(x+n+34)),

which involves both δ- and δ′-interactions, where the regular potential is given by

q0(x)=10(x-12)2,    q0(x+1)=q0(x),    x.

In this case n = 2, ℓ = 1, Y0={14,34}, and the transmission matrix is given by expression (37), where the matrices

A1=(1021),    A2=(1201).

On applying the SPPS approach we calculate the approximate function D~(λ), which is shown in Figure 5. From the zeros of the equations D~(λ)±1=0 we obtain the spectral bands of Hq0, which are shown in Table 5. The spectrum of this operator shares common characteristics with the previous spectra, for instance, the large gap-to-band ratio due to the presence of δ- and δ′-interactions.

FIGURE 5
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Figure 5. Plot of the approximate function D~(λ) from Example 5.

TABLE 5
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Table 5. Some spectral bands [aj, bj] of the Hamiltonian Hq0 from Example 5.

Previous examples show the applicability of the SPPS method in the numerical determination of the spectral bands of periodic Schrödinger operators with point interactions. For numerically simulating the influence of a slowly oscillating at infinity potential q1 on the gaps of the essential spectrum of the operators it is necessary to determine the numbers mq1 and Mq1, and employ formula (19) for calculating the essential spectrum of the perturbed operator.

Example 6 (Perturbed periodic potential). Let q1(x)=Asin|x|ε, ε ∈ (0, 1), A > 0, x ∈ ℝ. Since q1 ∈ SO (ℝ), it is easy to see that for every sequence ℝ∋ hm → ∞ the limit q1h is a real constant. The limiting values satisfy |q1h|A for every real sequence h = {hm}, hence, mq1=-A and Mq1=A.

Let us consider the previous Example 2 and suppose that its regular potential q0 defined in (34) is perturbed by the potential q1 ∈ SO (ℝ) with A = 1. In Table 6 we observe the influence of this slowly oscillating function on the spectrum of the unperturbed operator Hq0. We observe the broadening of the bands and their corresponding overlapping when the gaps are negative. Since the gaps of the unperturbed problems are monotonically decreasing all the bands will overlap producing a continuous spectrum

spessHq0+q1=[a1+mq1,+)=[-3.67428666671436,+).
TABLE 6
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Table 6. Some spectral bands [aj, bj] of the perturbed Hamiltonian Hq0+q1 from Example 2.

Now, let us consider the previous Example 3, and suppose that its regular potential q0 defined in (35) is perturbed by a more intense perturbation q1∈SO(ℝ) with A = 6. The bands of the resulting perturbed operator Hq0+q1 are shown in Table 7. In this case the first seven bands of the spectrum overlap, yielding the merged band

[a1+mq1,b7+Mq1]=[-2.93816218652093,64.31214991061162]                                               spessHq0+q1.
TABLE 7
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Table 7. Some spectral bands [aj, bj] of the perturbed Hamiltonian Hq0+q1 from Example 3.

From the eighth band, the gaps of the spectrum are open. Hence, in order to close more gaps, it is necessary to increase the intensity of the perturbation.

Finally, on considering the potential (36) from Example 4 and the perturbation q1 ∈ SO (ℝ) with A = 3 we obtain the spectral bands shown in Table 8. In this case, though the bands get broader, none of them overlap with the given perturbation.

TABLE 8
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Table 8. Some spectral bands [aj, bj] of the perturbed Hamiltonian Hq0+q1 from Example 4.

6. Conclusions

In this work we have approached one-dimensional Schrödinger operators with point interactions from their corresponding self-adjoint extensions. On assuming that the point interactions are supported on an infinite countable set with a periodic structure we were able to employ the limit operators method for analyzing their essential spectra. If the regular potentials are periodic the Floquet-Bloch theory leads to a formula defining the band-gap spectra of the periodic operators, which is given in terms of a function D(λ). This function is obtained from the monodromy matrices specified at the points where the singular potential is supported. In this work the function D(λ) is determined by the SPPS method, which allows to consider arbitrary regular potentials q0 satisfying certain smoothness conditions, and to derive numerical methods for calculating the band edges of spectra of periodic problems involving point interactions.

We also considered the case when periodic problems are perturbed by slowly oscillating at infinity terms, which can model impurities in the crystals. The perturbed problems are also approached by the limit operators method, which gives a neat formula for their essential spectra. The spectral analysis of perturbed periodic problems relies on a pair of numbers mq1 and Mq1 that depend on the perturbation q1 ∈ SO(ℝ) specified in the problem. These numbers, in general, lead to the broadening (narrowing) of the bands (gaps), which may change significantly the spectra of the operators. The SPPS approach together with the determination of the numbers mq1, Mq1 give a simpler way for determining the spectra of perturbed periodic problems.

The applicability of the SPPS method and the limit operators method is shown by the numerical examples considered in this work that involved δ- and δ′-interactions as well as a periodic regular potential q0. The accuracy of the results relies on the uniform convergence of power series of the spectral parameter that define the solutions of the involved Schrödinger equations, so that an increasingly number N of terms in the truncated series will reduce the associated errors in the numerical values. Finally, the theory developed in this work can be used for analyzing photonic crystals and electromagnetic waveguides with periodic refractive profiles, as well as quantum problems involving periodic potentials.

Data Availability

All datasets generated and analyzed for this study are included in the manuscript and the supplementary files.

Author Contributions

VR conceived the idea of the paper and developed the theoretical formalism. VB-F performed the analytic calculations, designed the examples, and analyzed the numerical data. VR, VB-F, and LO contributed to the final version of the manuscript.

Funding

VB-F acknowledges CONACyT for support via grant 283133.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Keywords: periodic Schrödinger operators, limit operators method, spectral parameter power series (SPPS) method, dispersion equation, monodromy matrices, slowly oscillating at infinity perturbation

Citation: Rabinovich VS, Barrera-Figueroa V and Olivera Ramírez L (2019) On the Spectra of One-Dimensional Schrödinger Operators With Singular Potentials. Front. Phys. 7:57. doi: 10.3389/fphy.2019.00057

Received: 26 February 2019; Accepted: 26 March 2019;
Published: 16 April 2019.

Edited by:

Manuel Gadella, University of Valladolid, Spain

Reviewed by:

Wencai Liu, Texas A&M University, United States
Yuriy Golovaty, Lviv University, Ukraine

Copyright © 2019 Rabinovich, Barrera-Figueroa and Olivera Ramírez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Víctor Barrera-Figueroa, vbarreraf@ipn.mx

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