This paper derives explicit solutions and representations for the one-dimensional Schrödinger equation with finitely many delta interactions, using transmutation operators, spectral series, and Bessel function expansions.
Contribution
It introduces a closed form solution, integral and series representations, and a practical construction method for the Schrödinger equation with multiple delta interactions.
Findings
01
Explicit closed form solutions for the equation with delta interactions.
02
Representation of solutions as Neumann series of Bessel functions.
03
Development of a spectral parameter power series method for transmutation operators.
Abstract
A closed form solution for the one-dimensional Schr\"{o}dinger equation with a finite number of δ-interactions \[ \mathbf{L}_{q,\mathfrak{I}_{N}}y:=-y^{\prime\prime}+\left( q(x)+\sum _{k=1}^{N}\alpha_{k}\delta(x-x_{k})\right) y=\lambda y,\quad0<x<b,\;\lambda \in\mathbb{C}% \] is presented in terms of the solution of the unperturbed equation \[ \mathbf{L}_{q}y:=-y^{\prime\prime}+q(x)y=\lambda y,\quad0<x<b,\;\lambda \in\mathbb{C}% \] and a corresponding transmutation operator TINf is obtained in the form of a Volterra integral operator. With the aid of the spectral parameter power series method, a practical construction of the image of the transmutation operator on a dense set is presented, and it is proved that the operator TINf transmutes the second derivative into the Schr\"{o}dinger operator…
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TopicsDifferential Equations and Boundary Problems · Spectral Theory in Mathematical Physics · advanced mathematical theories
Full text
Closed form solution and transmutation operators for Schrödinger equations
with finitely many δ-interactions
Vladislav V. Kravchenko1, Víctor A. Vicente-Benítez2
1Department of Mathematics, Cinvestav, Campus Querétaro
Libramiento Norponiente # 2000,
Fracc. Real de Juriquilla, Querétaro, Qro. C.P. 76230 México
2Department of Physics, Universidad de Guanajuato, Campus León
Lomas del Bosque 103, Lomas del Campestre, León, Guanajuato C.P. 37150 México
A closed form solution for the one-dimensional Schrödinger equation with a
finite number of δ-interactions
[TABLE]
is presented in terms of the solution of the unperturbed equation
[TABLE]
and a corresponding transmutation operator TINf
is obtained in the form of a Volterra integral operator. With the aid of the
spectral parameter power series method, a practical construction of the image
of the transmutation operator on a dense set is presented, and it is proved
that the operator TINf transmutes the second
derivative into the Schrödinger operator Lq,IN
on a Sobolev space H2. A Fourier-Legendre series representation for the
integral transmutation kernel is developed, from which a new representation
for the solutions and their derivatives, in the form of a Neumann series of
Bessel functions, is derived.
**Keywords: ** One-dimensional Schrödinger equation, point
interactions, transmutation operator, Fourier-Legendre series, Neumann series
of Bessel functions.
We consider the one-dimensional Schrödinger equation with a finite number
of δ-interactions
[TABLE]
where q∈L2(0,b) is a complex valued function, δ(x) is the Dirac
delta distribution, 0<x1<x2<⋯<xN<b and α1,…,αN∈C∖{0}. Schrödinger equations with
distributional coefficients supported on a set of measure zero naturally
appear in various problems of mathematical physics
[3, 4, 5, 6, 16, 44] and have been
studied in a considerable number of publications and from different
perspectives. In general terms, Eq. (1) can be interpreted
as a regular equation, i.e., with the regular potential q∈L2(0,b),
whose solutions are continuous and such that their first derivatives satisfy
the jump condition y′(xk+)−y′(xk−)=αky(xk)
at special points [25, 26]. Another approach consists in
considering the interval [0,b] as a quantum graph whose edges are the
segments [xk,xk+1], k=0,…,N, (setting x0=0, xN+1=b),
and the Schrödinger operator with the regular potential q as an
unbounded operator on the direct sum ⨁k=0NH2(xk,xk+1), with the domain given by the families (yk)k=0N that satisfy the
condition of continuity yk(xk−)=yk+1(xk+) and the jump condition
for the derivative yk+1′(xk+)−yk′(xk−)=αkyk(xk) for k=1,…N (see, e.g.,
[18, 34, 35]). This condition for the derivative is
known in the bibliography of quantum graphs as the δ-type condition
[9]. Yet another approach implies a regularization of
the Schrodinger operator with point interactions, that is, finding a subdomain
of the Hilbert space L2(0,b), where the operator defines a function in
L2(0,b). For this, note that the potential q(x)+∑k=1Nαkδ(x−xk) defines a functional that belongs to the Sobolev space
H−1(0,b). In [11, 20, 23, 42] these forms of
regularization have been studied, rewriting the operator by means of a
factorization that involves a primitive σ of the potential.
Theory of transmutation operators, also called transformation operators, is a
widely used tool in studying differential equations and spectral problems
(see, e.g., [8, 29, 36, 39, 43]), and it is especially well developed for
Schrödinger equations with regular potentials. It is known that under
certain general conditions on the potential q the transmutation operator
transmuting the second derivative into the Schrödinger operator can be
realized in the form of a Volterra integral operator of the second kind, whose
kernel can be obtained by solving a Goursat problem for the Klein-Gordon
equation with a variable coefficient [14, 36, 39].
Furthermore, functional series representations of the transmutation kernel
have been constructed and used for solving direct and inverse Sturm-Liouville
problems [29, 30]. For Schrödinger equations with
δ-point interactions, there exist results about equations with a single
point interaction and discontinuous conditions y(x1+)=ay(x1−),
y′(x1+)=a1y′(x1−)+dy(x1−), a,b>0 (see
[22, 46]), and for equations in which the spectral parameter is
also present in the jump condition (see [1, 37, 38]).
Transmutation operators have also been studied for equations with
distributional coefficients belonging to the H−1-Sobolev space in
[11, 23, 42]. In [14], the possibility of
extending the action of the transmutation operator for an L1-potential to
the space of generalized functions D′, was studied.
The aim of this work is to present a construction of a transmutation operator
for the Schrödinger equation with a finite number of point interactions.
The transmutation operator appears in the form of a Volterra integral
operator, and with its aid we derive analytical series representations for
solutions of (1). For this purpose, we obtain a closed form
of the general solution of (1). From it, the construction of
the transmutation operator is deduced, where the transmutation kernel is
ensembled from the convolutions of the kernels of certain solutions of the
regular equation (with the potential q), in a finite number of steps. Next,
the spectral parameter power series (SPPS) method is developed for Eq.
(1). The SPPS method was developed for continuous
([27, 31]) and L1-potentials ([10]), and it has been used in a piecewise manner for solving spectral problems
for equations with a finite number of point interactions in
[6, 7, 41]. Following [15], we use the SPPS
method to obtain an explicit construction of the image of the transmutation
operator acting on polynomials. Similarly to the case of a regular potential
[30], we obtain a representation of the transmutation kernel as a
Fourier series in terms of Legendre polynomials and as a corollary, a
representation for the solutions of equation (1) in terms of
a Neumann series of Bessel functions. Similar representations are obtained for
the derivatives of the solutions. It is worth mentioning that the methods
based on Fourier-Legendre representations and Neumann series of Bessel
functions have shown to be an effective tool in solving direct and inverse
spectral problems for equations with regular potentials, see, e.g.,
[29, 30, 33].
In Section 2, basic properties of the solutions of (1) are
compiled, studying the equation as a distributionional sense in
D′(0,b) and deducing properties of its regular solutions.
Section 3 presents the construction of the closed form solution of
(1). In Section 4, the construction of the transmutation
operator and the main properties of the transmutation kernel are developed. In
Section 5, the SPPS method is presented, with the mapping and transmutation
properties of the transmutation operator. Section 6 presents the
Fourier-Legendre series representations for the transmutation kernels and the
Neumann series of Bessel functions representations for solutions of
(1), and a recursive integral relation for the Fourier-Legendre coefficients is obtained. Finally, in Section 7, integral and Neumann series of
Bessel functions representations for the derivatives of the solutions are presented.
2 Problem setting and properties of the solutions
We use the standard notation Wk,p(0,b) (b>0) for the Sobolev space of
functions in Lp(0,b) that have their first k weak derivatives in
Lp(0,b), 1⩽p⩽∞ and k∈N. When p=2,
we denote Wk,2(0,b)=Hk(0,b). We have that W1,1(0,b)=AC[0,b], and
W1,∞(0,b) is precisely the class of Lipschitz continuous functions
in [0,b] (see [12, Ch. 8]). The class of smooth functions with
compact support in (0,b) is denoted by C0∞(0,b), then we define
W01,p(0,b)=C0∞(0,b)W1,p and H01(0,b)=W01,2(0,b). Denote the dual space of H01(0,b) by
H−1(0,b). By L2,loc(0,b) we denote the class of measurable functions
f:(0,b)→C such that ∫αβ∣f(x)∣2dx<∞ for all subintervals [α,β]⊂(0,b).
The characteristic function of an interval [A,B]⊂R is denoted
by χ[A,B](t). In order to simplify the notation, for the case of a
symmetric interval [−A,A], we simply write χA. The Heaviside
function is given by H(t)=χ(0,∞)(t). The lateral limits of the
function f at the point ξ are denoted by f(ξ±)=limx→ξ±f(x). We use the notation N0=N∪{0}. The
space of distributions (generalized functions) over C0∞(0,b) is
denoted by D′(0,b), and the value of a distribution
f∈D′(0,b) at ϕ∈C0∞(0,b) is denoted by
(f,ϕ)C0∞(0,b).
Let N∈N and consider a partition 0<x1<⋯<xN<b and the
numbers α1,…,αN∈C∖{0}. The set
IN={(xj,αj)}j=1N contains the information
about the point interactions of Eq. (1). Denote
[TABLE]
For u∈L2,loc(0,b), Lq,INu defines a
distribution in D′(0,b) as follows
[TABLE]
Note that the function u must be well defined at the points xk, k=1,…,N. Actually, for a function u∈H1(0,b), the distribution
Lq,INu can be extended to a functional in
H−1(0,b) as follows
[TABLE]
We say that a distribution F∈D′(0,b) is L2-regular,
if there exists a function g∈L2(0,b) such that (F,ϕ)C0∞(0,b)=(g,ϕ)C0∞(0,b):=∫0bg(x)ϕ(x)dx for
all ϕ∈C0∞(0,b).
Denote x0=0, xN+1=b. We recall the following characterization of
functions u∈L2,loc(0,b) for which Lq,INu
is L2-regular.
Proposition 1
If u∈L2,loc(0,b), then the distribution
Lq,INu is L2-regular iff the following
conditions hold.
For each k=0,…,N, u∣(xk,xk+1)∈H2(xk,xk+1).
2. 2.
u∈AC[0,b].
3. 3.
The discontinuities of the derivative u′ are located at the
points xk, k=1,…,N, and the jumps are given by
[TABLE]
In such case,
[TABLE]
Proof. Suppose that Lq,INu is L2-regular. Then there
exists g∈L2(0,b) such that
[TABLE]
Fix k∈{1,…,N−1}. Take a test function ϕ∈C0∞(0,b) with Supp(ϕ)⊂(xk,xk+1).
Hence
Set v(x)=∫0x∫0t{q(s)u(s)−g(s)}dsdt. Hence v∈W2,1(xj,xj+1), v′′(x)=q(x)u(x)−g(x) a.e. x∈(xj,xj+1), and we get the equality
[TABLE]
Equality (6) implies that u(x)=v(x)+Ax+B a.e. x∈(xk,xk+1) for some constants A and B ([45, pp. 85]).
In consequence u∈W2,1(xk,xk+1) and
[TABLE]
Furthermore, u∈C[xk,xk+1], hence qu∈L2(xk,xk+1) and
then u′′=qu−g∈L2(xk,xk+1). In this way
u∣(xk,xk+1)∈H2(xk,xk+1).
Now take ε>0 and an arbitrary ϕ∈C0∞(ε,x1). We have that
[TABLE]
Applying the same procedure as in the previous case we obtain that u∈H2(ε,x1) and satisfies Eq. (7) in the interval
(ε,x1). Since ε is arbitrary, we conclude that u
satisfies (7) for a.e. x∈(0,x1). Since q,g∈L2(0,x1), then u∣(0,x1)∈H2(0,x1) (see [47, Th.
3.4]). The proof for the interval (xN,b) is analogous.
Since u∈C1[xk,xk+1], k=0,…,N, the following equality is
valid (see formula (6) from [24, pp. 100])
[TABLE]
Fix k∈{1,⋯,N} arbitrary and take ε>0 small enough
such that (xk−ε,xk+ε)⊂(xk−1,xk+1).
Choose a cut-off function ψ∈C0∞(xk−ε,xk+ε) satisfying 0⩽ψ⩽1 on (xk−ε,xk+ε) and ψ(x)=1 for x∈(xk−3ε,xk+3ε).
2. 2.
By statement 1, it is enough to show that u(xk+)=u(xk−).
Set
ϕ(x)=(x−xk)ψ(x), in such a way that ϕ(xk)=0 and
ϕ′(xk)=1. Hence
Reciprocally, if u satisfies conditions 1,2 and 3, equality (8) implies (3). By condition 1, Lq,INu is L2-regular.
Definition 2
The L2-regularization domain of Lq,IN, denoted by D2(Lq,IN), is the set of all functions u∈L2,loc(0,b) satisfying
conditions 1,2 and 3 of Proposition 1.
If u∈L2,loc(0,b) is a solution of (1), then
Lq−λ,INu equals the regular distribution
zero. Then we have the next characterization.
Corollary 3
A function u∈L2,loc(0,b) is a solution of
Eq. (1) iff u∈D2(Lq,IN) and for each k=0,…,N, the restriction
u∣(xk,xk+1) is a solution of the regular Schrödinger equation
[TABLE]
Remark 4
Let f∈D2(Lq,IN). Given g∈C1[0,b], we have
[TABLE]
for k=1,…,N. In particular, fg∈D2(Lq,IN) for g∈H2(0,b).
Remark 5
Let u0,u1∈C. Consider the
Cauchy problem
[TABLE]
If the solution of the problem exists, it must be unique. It is enough to show
the assertion for u0=u1=0. Indeed, if w is a solution of such
problem, by Corollary 3, w is a solution of
(9) on (0,x1) satisfying w(0)=w′(0)=0.
Hence w≡0 on [0,x1]. By the continuity of w and condition
(2), we have w(x1)=w′(x1−)=0. Hence w is
a solution of (9) satisfying these homogeneous
conditions. Thus, w≡0 on [x1,x2]. By continuing the process
until the points xk are exhausted, we arrive at the solution w≡0
on the whole segment [0,b].
The uniqueness of the Cauchy problem with conditions u(b)=u0, u′(b)=u1 is proved in a similar way.
Remark 6
Suppose that u0=u0(λ) and u1=u1(λ) are entire
functions of λ and denote by u(λ,x) the corresponding unique
solution of (10). Since u is the solution of the Cauchy
problem Lqu=λu on (0,x1) with the initial conditions
u(λ,0)=u1(λ), u′(λ,0)=u1(λ), both
u(λ,x) and u′(λ,x+) are entire functions for any
x∈[0,x1] (this is a consequence of [47, Th. 3.9] and [10, Th.
7]). Hence u′(λ,x1−)=u′(λ,x1+)−α1u(λ,x1) is entire in λ. Since u is the
solution of the Cauchy problem Lqu=λu on (x1,x2)
with initial conditions u(λ,x1) and u′(λ,x1+),
we have that u(λ,x) and u′(λ,x+) are entire functions
for x∈[x1,x2]. By continuing the process we prove this assertion for
all x∈[0,b].
3 Closed form solution
In what follows, denote the square root of λ by ρ, so
λ=ρ2, ρ∈C. For each k∈{1,⋯,N} let
sk(ρ,x) be the unique solution of the Cauchy problem
[TABLE]
In this way, sk(ρ,x−xk) is a solution of Lqu=ρ2u on (xk,b) with initial conditions u(xk)=0,
u′(xk)=1. According to [45, Ch. 3, Sec. 6.3],
(Lq−ρ2)(H(x−xk)sk(ρ,x−xk))=−δ(x−xk) for xk<x<b.
We denote by JN the set of finite sequences J=(j1,…,jl) with 1<l⩽N, {j1,…,jl}⊂{1,…,N}
and j1<⋯<jl. Given J∈JN, the length of J is
denoted by ∣J∣ and we define αJ:=αj1⋯αj∣J∣.
Theorem 7
Given u0,u1∈C, the unique
solution uIN∈D2(Lq,IN) of the Cauchy problem
(10) has the form
[TABLE]
where u(ρ,x) is the unique solution of the regular
Schrödinger equation
[TABLE]
satisfying the initial conditions u(ρ,0)=u1,u′(ρ,0)=u1.
Proof. The proof is by induction on N. For N=1, the proposed solution has the
form
[TABLE]
Note that uI1(ρ,x) is continuous, and uI1(ρ,x1)=u(ρ,x1). Hence
[TABLE]
that is, uI1(ρ,x) is a solution of (1)
with N=1. Suppose the result is valid for N. Let uIN+1(ρ,x) be the proposed solution given by formula (12).
It is clear that uIN+1(ρ,⋅)∣(xk,xk+1)∈H2(xk,xk+1), k=0,⋯,N, uIN+1(ρ,x) is a
solution of (9) on each interval (xk,xk+1),
k=0,…,N+1, and uIN+1(j)(ρ,0)=u(j)(ρ,0)=uj, j=0,1. Furthermore, we can write
[TABLE]
where IN=IN+1∖{(xN+1,αN+1)}, uJN(ρ,x) is the proposed solution for the
interactions IN, and the function fN(ρ,x) is given by
[TABLE]
where the sum is taken over all the sequences J=(j1,…,j∣J∣)∈JN with j∣J∣=N+1. From this representation we obtain
uIN+1(ρ,xN+1±)=uIN(ρ,xN+1)
and hence uIN+1∈AC[0,b]. By the induction hypothesis,
uIN(ρ,x) is the solution of (1) for
N, then in order to show that uIN+1(ρ,x) is the
solution for N+1 it is enough to show that (Lq−ρ2)f^N(ρ,x)=−αNuN(xN+1)δ(x−xN+1), where f^N(ρ,x)=H(x−xN+1)fN(ρ,x). Indeed, we have
[TABLE]
where the second equality is due to the fact that
[TABLE]
Hence uIN+1(ρ,x) is the solution of the Cauchy problem.
Example 8
Consider the case q≡0. Denote by eIN0(ρ,x) the
unique solution of
[TABLE]
satisfying eIN0(ρ,0)=1, eIN0(ρ,0)=iρ. In this case we have sk(ρ,x)=ρsin(ρx) for k=1,…,N. Hence, according to Theorem
7, the solution eIN0(ρ,x) has
the form
[TABLE]
4 Transmutation operators
4.1 Construction of the integral transmutation kernel
Let h∈C. Denote by eh(ρ,x) the unique
solution of Eq. (13) satisfying eh(ρ,0)=1,
eh′(ρ,0)=iρ+h. Hence the unique solution
eINh(ρ,x) of Eq. (1) satisfying
eINh(ρ,0)=1, (eINh)′(ρ,0)=iρ+h is given by
[TABLE]
It is known that there exists a kernel Kh∈C(Ω)∩H1(Ω), where Ω={(x,t)∈R2∣0<x<b,∣t∣<x}, such that Kh(x,x)=2h+21∫0xq(s)ds, Kh(x,−x)=2h and
[TABLE]
(see, e.g., [36, 39]). Actually, Kh(x,⋅)∈L2(−x,x) and it can be extended (as a function of t) to a
function in L2(R) with a support in [−x,x]. For each k∈{1,…,N} there exists a kernel Hk∈C(Ωk)∩H1(Ωk) with Ωk={(x,t)∈R2∣0<x<b−xk,∣t∣⩽x}, and Hk(x,x)=21∫xkx+xkq(s)ds, Hk(x,−x)=0, such that
[TABLE]
(see [19, Ch. 1]). From this we obtain the representation
[TABLE]
where
[TABLE]
We denote the Fourier transform of a function f∈L1(R) by
Ff(ρ)=∫Rf(t)eiρtdt and the convolution of
f with a function g∈L1(R) by f∗g(t)=∫Rf(t−s)g(s)ds. We recall that F(f∗g)(ρ)=Ff(ρ)⋅Fg(ρ). Given f1,…,fM∈L2(R) with compact support, we denote their convolution product
by (∏l=1M)∗fl(t):=(f1∗⋯∗fM)(t). For the kernels Kh(x,t),Kk(x,t),
the operations F and ∗ will be applied with respect to the
variable t.
Lemma 9
Let A,B>0. If f∈C[−A,A] and g∈C[−B,B], then
(χAf)∗(χBg)∈C(R) with Supp((χAf)∗(χBg))⊂[−(A+B),A+B].
Proof. The assertion Supp((χAf)∗(χBg))⊂[−(A+B),A+B] is due to [12, Prop. 4.18]. Since (χAf)∈L1(R) and (χBg)∈L∞(R), it
follows from [17, Prop. 8.8] that (χAf)∗(χBg)∈C(R).
Theorem 10
There exists a kernel KINh(x,t) defined on Ω such that
[TABLE]
For any 0<x⩽b, KJNh(x,t) is piecewise
absolutely continuous with respect to the variable t∈[−x,x] and satisfies
KINh(x,⋅)∈L2(−x,x). Furthermore,
KINh∈L∞(Ω).
Proof. Susbtitution of formulas (17) and (19) in (16) leads to the equality
[TABLE]
Note that
[TABLE]
In a similar way, if we denote IA,B=(eiρA+−A∫AKh(A,t)eiρtdt)(−B∫BKk(B,t)eiρtdt) with A,B∈(0,b), then
[TABLE]
Set RN(ρ,x)=eN(ρ,x)−eiρx. Thus,
[TABLE]
According to Lemma 9, the support of (∏l=1∣J∣−1)∗(χxjl+1−xjl(t)Kk(xjl+1,t)) lies in
[xj1−xj∣J∣,xj∣J∣−xj1] and χx−(xj∣J∣−xj1)(t)Kj∣J∣(x,t−xj1)+χxj1(t)Kh(xj1,t)∗χx−xj∣J∣(t)Kj∣J∣(x,t) has its support
in [xj∣J∣+xj1−x,x−(xj∣J∣−xj1)]. Hence the
convolution in the second sum of RN(ρ,x) has its support in [−x,x].
On the other hand, χxk(t)Kh(xk,t)∗χx−xk(t)Kk(x,t) has its support in [−x,x], and since
[2xk−x,x]⊂[−x,x], we conclude that Supp(F−1RN(ρ,x))⊂[−x,x].
and KIN(x,⋅)∈L2(x,−x). By formula
(22) and the definitions of Kh(x,t) and
Kk(x,t), KIN(x,t) is piecewise absolutely
continuous for t∈[−x,x]. Since Kh,Kk∈L∞(Ω), is clear that KINf∈L∞(Ω).
As a consequence of (21), eINh(ρ,x) is an entire function of exponential type x on the spectral
parameter ρ.
Example 11
Consider (15) with N=1. In this
case the solution eI10(ρ,x) is given by
[TABLE]
We have
[TABLE]
Hence
[TABLE]
Example 12
Consider again Eq. (15) but now with
N=2. In this case the solution eI20(ρ,x) is given
by
[TABLE]
and the transmutation kernel KI20(x,t) has the form
[TABLE]
Direct computation shows that
[TABLE]
In Figure 1, we can see some level curves of the kernel
KI20(x,t) (as a function of t), I2={(0.25,1),(0.75,2)}, for some values of x.
For the general case we have the following representation for the kernel.
Proposition 13
The transmutation kernel KIN0(ρ,x) for the solution
eIN0(ρ,x) of (15) is given by
[TABLE]
Proof. In this case e0(ρ,x)=eiρx, sk(ρ,x−xk)=ρsin(ρ(x−xk)), hence K0(x,t)≡0, Kk(x,t)=21χx−xk(t).
Substituting these expressions into (22) and taking
into account that χxj∣J∣+xj1−x,x−(xj∣J∣−xj1)(t)=χx−xj∣J∣(t−xj1) we obtain (23)
Hence σIN′(x)=qδ,In(x)
in the distributional sense ( (σIN,ϕ)C0∞(0,b)=−(qδ,IN,ϕ′)C0∞(0,b) for all ϕ∈C0∞(0,b)). Note that in Examples
11 and 12 we have
[TABLE]
More generally, the following statement is true.
Proposition 14
The integral transmutation kernel KINh satisfies the following Goursat conditions for x∈[0,b]
[TABLE]
Proof. Fix x∈[0,b] and take ξ∈{−x,x}. By formula
(22) we can write
[TABLE]
where
[TABLE]
In the proof of Theorem 10 we obtain that
Supp(F(x,t))⊂[−x,x]. Since Kh(xj,t)
and Kk(xj,t) are continuous with respect to t in the
intervals [−xj,xj] and [xk−xj,xj−xk] respectively for
j=1,…,N, k⩽j, by Lemma 9 the function F(x,t)
is continuous for all t∈R. Thus F(x,ξ)=0. For the case
ξ=x, we have that Kh(x,x)=2h+21∫0xq(s)ds, χ[2xk−x,x](x)=1 and
[TABLE]
(we assume that x⩾xk in order to have H(x−xk)=1).
Thus
KINh(x,x)=21(h+∫0xq(s)ds+σIN(x)). For the case ξ=−x,
Kh(x,−x)=2h and
χ[2xk−x,x](−x)=0.
Hence KINh(x,x)=2h.
Remark 15
According to Proposition 14, 2KINh(x,x) is a (distributional) antiderivative of the
potential q(x)+qδ,IN(x).
4.3 The transmuted Cosine and Sine solutions
Let cINh(ρ,x) and sIN(ρ,x) be
the solutions of Eq. (1) satisfying the initial conditions
[TABLE]
Note that cINh(ρ,x)=2eINh(ρ,x)+eINh(−ρ,x) and sIN(ρ,x)=2iρeINh(ρ,x)−eINh(−ρ,x).
Remark 16
By Corollary 3,
cINh(ρ,⋅),sIN(ρ,⋅)∈AC[0,b] and both functions are solutions of Eq. (9) on
[0,x1], hence their Wronskian is constant for x∈[0,x1] and
[TABLE]
*(the equality in the second line is due to (2)). Since
cINh(ρ,x),sIN(ρ,x) are solutions
of (9) on [x1,x2], then W[CINh(ρ,x),sIN(ρ,x)] is
constant for x∈[x1,x2]. Thus,
W[cINh(ρ,x),sIN(ρ,x)](x)=1 for all
x∈[0,x2]. Continuing the process we obtain that the Wronskian equals
one in the whole segment [0,b]. Thus, cINh(ρ,x),sIN(ρ,x) are linearly independent. Finally, if u is a
solution of (1), by Remark 5, u can
be written as u(x)=u(0)cINh(ρ,x)+u′(0)sIN(ρ,x). In this way, {cINh(ρ,x),sIN(ρ,x)} is a fundamental set of
solutions for (1).*
Similarly to the case of the regular Eq. (13) (see [39, Ch.
1]), from (21) we obtain the following representations.
Proposition 17
The solutions cINh(ρ,x) and sIN(ρ,x) admit the following integral representations
[TABLE]
where
[TABLE]
Remark 18
By Proposition 14, the cosine
and sine integral transmutation kernels satisfy the conditions
[TABLE]
[TABLE]
Introducing the cosine and sine transmutation operators
[TABLE]
we obtain
[TABLE]
Remark 19
According to Remark 16, the
space of solutions of (1) has dimension 2, and given
f,g∈D2(Lq,IN)
solutions of (1), repeating the same procedure of Remark
16, W[f,g] is constant in the whole segment
[0,b]. The solutions f,g are a fundamental set of solutions iff
W[f,g]=0.
5 The SPPS method and the mapping property
5.1 Spectral parameter powers series
As in the case of the regular Schrödinger equation
[10, 31], we obtain a representation for the solutions of
(1) as a power series in the spectral parameter (SPPS
series). Assume that there exists a solution f∈D2(Lq,IN) that does not vanish in the whole
segment [0,b].
Remark 20
Given g∈L2(0,b), a solution u∈D2(Lq,IN) of the
non-homogeneous Cauchy problem
[TABLE]
can be obtained by solving the regular equation Lqu(x)=g(x) a.e.
x∈(0,b) as follows. Consider the Polya factorization Lqu=−f1Df2Dfu, where D=dxd. A direct
computation shows that u given by
[TABLE]
satisfies (38) (actually, f(x)∫0xf2(t)1dt is the second linearly independent solution of Lqu=0
obtained from f by Abel’s formula). By Remark 4,
u∈D2(Lq,JN) and by
Proposition 1 and Remark 5, formula
(39) provides the unique solution of
(38). Actually, if we denote Iu(x):=∫0xu(t)dt and define RINf:=−fIf2I, then RINf∈B(L2(0,b)), RINf(L2(0,b))⊂D2(Lq,IN) and is a right-inverse for Lq,IN, i.e.,
Lq,INRINfg=g for all
g∈L2(0,b).
Following [31] we define the following recursive integrals:
X(0)≡X(0)≡1, and for k∈N
[TABLE]
The functions {φf(k)(x)}k=0∞ defined by
[TABLE]
for k∈N0, are called the formal powers associated to
f. Additionally, we introduce the following auxiliary formal powers
{ψf(k)(x)}k=0∞ given by
[TABLE]
Remark 21
For each k∈N0, φf(k)∈D2(Lq,IN).
Indeed, direct computations show that the following relations hold for all
k∈N0:
[TABLE]
Since φf(k),ψf(k)∈C[0,b], using the procedure from
Remark 4 and (44) we obtain
φf(k)∈D2(Lq,IN).
Theorem 22** (SPPS method)**
Suppose that f∈D2(Lq,IN) is a solution of (1) that does not vanish in the whole segment [0,b]. Then the functions
[TABLE]
belong to D2(Lq,IN), and
{u0(ρ,x),u1(ρ,x)} is a fundamental set of solutions for
(1) satisfying the initial conditions
[TABLE]
The series in (46) converge absolutely and uniformly on
x∈[0,b], the series of the derivatives converge in L2(0,b) and the
series of the second derivatives converge in L2(xj,xj+1), j=0,⋯,N. With respect to ρ the series converge absolutely and
uniformly on any compact subset of the complex ρ-plane.
Proof. Since f∈C[0,b], the following estimates for the recursive integrals
{X(k)(x)}k=0∞ and {X(k)(x)}k=0∞ are known:
[TABLE]
where M1=∥f2∥C[0,b]⋅f21C[0,b]
(see the proof of Theorem 1 of [31]). Thus, by the Weierstrass
M-tests, the series in (46) converge absolutely and uniformly
on x∈[0,b], and for ρ on any compact subset of the complex ρ-plane. We prove that u0(ρ,x)∈D2(Lq,IN) and is a solution of (1) (the
proof for u1(ρ,x) is analogous). By Remark 21,
the series of the derivatives of u0(ρ,x) is given by ff′∑k=0∞(2k)!(−1)kρ2kφf(2k)+∑k=1∞(2k−1)!(−1)kρ2kψf(2k−1). By
(49), the series involving the formal powers
φf(k) and ψf(k) converge absolutely and uniformly on
x∈[0,b]. Hence, ∑k=0∞(2k)!(−1)kρkDφf(2k)(x) converges in L2(0,b). Due to [10, Prop.
3], u0(ρ,⋅)∈AC[0,b] and u0′(ρ,x)=f(x)f′(x)∑k=0∞(2k)!(−1)kρ2kφf(2k)+∑k=1∞(2k−1)!(−1)kρ2kψf(2k−1) in L2(0,b). Since the series involving the
formal powers defines continuous functions, then u0(ρ,x) satisfies the
jump condition (2). Applying the same reasoning it is shown
that u0′′(ρ,x)=∑k=0∞(2k)!(−1)kρ2kD2φf(2k), the series converges in L2(xj,xj+1) and u0(ρ,⋅)∣(xj,xj+1)∈H2(xj,xj+1), j=0,…,N.
Since X(n)(0)=0 for n⩾1, we have
(47). Finally, by (45)
[TABLE]
this for a.e. x∈(xj,xj+1), j=0,…,N.
Using (47) and (48) we obtain W[u0(ρ,x),u1(ρ,x)](0)=1. Since the Wronskian is constant (Remark
19), {u0(ρ,x),u1(ρ,x)} is a fundamental
set of solutions.
5.2 Existence and construction of the non-vanishing solution
The existence of a non-vanishing solution is well known for the case of a
regular Schrödinger equation with continuous potential (see [31, Remark
5] and [13, Cor. 2.3]). The following proof adapts
the one presented in [21, Prop. 2.9] for the Dirac system.
Proposition 23** (Existence of non-vanishing solutions)**
Let
{u,v}∈D2(Lq,IN) be a
fundamental set of solutions for (1). Then there exist
constants c1,c2∈C such that the solution f=c1u+c2v
does not vanish in the whole segment [0,b].
Proof. Let {u,v}∈D2(Lq,IN)
be a fundamental set of solutions for (1). Then u and v
cannot have common zeros in [0,b]. Indeed, if u(ξ)=v(ξ)=0 for some
ξ∈[0,b], then W[u,v](ξ+)=u(ξ)v′(ξ+)−v(ξ)u′(ξ+)=0. Since W[u,v] is constant in [0,b], this contradicts that
{u,v} is a fundamental system.
This implies that in each interval [xj,xj+1], j=0,⋯,N, the
map Fj:[xj,xj+1]→CP1, Fj(x):=[u∣[xj,xj+1](x):v∣[xj,xj+1](x)] (where
CP1 is the complex projective line, i.e., the quotient of
C2∖{(0,0)} under the action of C∗, and
[a:b] denotes the equivalent class of the pair (a,b)) is well defined and
differentiable. In [13, Prop. 2.2] it was established that a
differentiable function f:I→CP1, where I⊂R is an interval, is never surjective, using that Sard’s theorem
implies that f(I) has measure zero.
Suppose that (α,β)∈C2∖{(0,0)} is such that
αu(ξ)−βv(ξ)=0 for some ξ∈[0,b]. Hence u(ξ)v(ξ)βα=0, that is, (u(ξ),v(ξ)) and (α,β) are proportional. Since
ξ∈[xj,xj+1] for some j∈{0,⋯,N}, hence [α:−β]∈Fj([xj,xj+1]).
Thus, the set C:={[α:β]∈CP1∣∃ξ∈[0,b]:αu(ξ)+βv(ξ)=0} is contained in
∪j=0NFj([xj,xj+1]), and then C
has measure zero. Hence we can obtain a pair of constants (c1,c2)∈C2∖{(0,0)} with [c1:−c2]∈CP1∖C and f=c1u+c2v does not vanish in the whole segment
[0,b].
Remark 24
If q is real valued and α1,⋯,αN∈R∖{0}, taking a real-valued fundamental system of solutions for the
regular equation Lqy=0 and using formula
(12), we can obtain a real-valued fundamental set of
solutions {u,v} for Lq,INy=0. In the proof of
Proposition 23 we obtain that u and v have no
common zeros. Hence f=u+iv is a non vanishing solution.
For the complex case, we can choose randomly a pair of constants (c1,c2)∈C2∖{(0,0)} and verify if the linear
combination c1u+c2v has no zero. If there is a zero, we repeat the
process until we find the non vanishing solution. Since the set C (from the
proof of Proposition 23) has measure zero, is almost
sure to find the coefficients c1,c2 in the first few tries.
By Proposition 23, there exists a pair of constants
(c1,c2)∈C2∖{(0,0)} such that
[TABLE]
is a non-vanishing solution of (1) for ρ=0 (if
α1,…,αk∈(0,∞), it is enough with take c1=1, c2=0). Below we give a procedure based on the SPPS method
([10, 31]) to obtain the non-vanishing solution f from
y0.
Theorem 25
Define the recursive integrals {Y(k)}k=0∞ and {Y~(k)}k=0∞ as follows: Y(0)≡Y~(0)≡1,
and for k⩾1
[TABLE]
Define
[TABLE]
Then {f0,f1}⊂D2(Lq,IN) is a fundamental set of solution for Lq,INu=0 satisfying the initial conditions f0(0)=c1,
f0′(0)=c2, f1(0)=0, f1′(0)=1. Both series
converge uniformly and absolutely on x∈[0,b]. The series of the
derivatives converge in L2(0,b), and on each interval [xj,xj+1],
j=0,…,N, the series of the second derivatives converge in L2(xj,xj+1). Hence there exist constants C1,C2∈C such
that f=C1f0+C2f1 is a non-vanishing solution of Lq,INu=0 in [0,b].
Proof. Using the estimates
[TABLE]
where M1=y021L1(0,b) and M2=∥qy02∥L1(0,b), from [10, Prop. 5], the series in
(53) converge absolutely and uniformly on [0,b]. The
proof of the convergence of the derivatives and that {f0,f1}∈D2(Lq,IN) is a
fundamental set of solutions is analogous to that of Theorem 22
(see also [31, Th. 1]) and [10, Th. 7] for the
proof in the regular case).
5.3 The mapping property
Take a non vanishing solution f∈D2(Lq,IN) normalized at zero, i.e., f(0)=1, and set
h=f′(0). Then the corresponding transmutation operator and kernel
TINh and KINh(x,t) will
be denoted by TINf and KINf(x,t) and called the canonical transmutation operator and
kernel associated to f, respectively (same notations are used for the cosine
and sine transmutations).
Theorem 26
The canonical transmutation operator TINf satisfies the following relations
[TABLE]
The canonical cosine and sine transmutation operators satisfy the relations
[TABLE]
Proof. Consider the solution eINh(ρ,x) with h=f′(0). By the conditions (47) and (48),
solution eINh(ρ,x) can be written in the form
[TABLE]
(The rearrangement of the series is due to absolute and uniform convergence,
Theorem 22). On the other hand
[TABLE]
Note that ∫−xxKINf(x,t)(k=0∑∞k!(iρ)ktk)dt=k=0∑∞k!(iρ)k∫−xxKINf(x,t)tkdt, due
to the uniform convergence of the exponential series in the variable t∈[−x,x]. Thus,
[TABLE]
Comparing (58) and (57) as Taylor
series in the complex variable ρ we obtain (54).
Relations (55) and (56) follows from
(54), (32),
(33) and the fact that GINf(x,t) and SIN(x,t) are even and odd in the variable
t, respectively.
Remark 27
*The formal powers {φf(k)(x)}k=0∞ satisfy the asymptotic relation
φf(k)(x)=xk(1+o(1)), x→0+, ∀k∈N.*
Indeed, by Theorem 26 and the Cauchy-Bunyakovsky-Schwarz
inequality we have
Denote P(R)=\mboxSpan{xk}k=0∞. According to Remark
21 and Proposition 1 we have that
TINf(P(R))=\mboxSpan{φf(k)(x)}k=0∞, and by
(45) we have the relation
[TABLE]
*According to [14], Tq,INf is a
transmutation operator for the pair Lq,IN,
−D2 in the subspace P(R), and {φf(k)(x)}k=0∞ is an Lq,IN-basis.
Since φf(K)(0)=Dφf(k)(0)=0 for k⩾2,
{φf(k)(x)}k=0∞ is called a *standard **
Lq,JN-basis, and TINf a standard transmutation operator. By Remark 20 we
can recover φf(k) for k⩾2 from φf(0) and
φf(0) by the formula
[TABLE]
(compare this formula with [14, Formula (8), Remark 9]).
The following result adapts Theorem 10 from [14], proved for the case
of an L1-regular potential.
Theorem 29
The operator TINf is a transmutation operator
for the pair Lq,IN, −D2 in H2(−b,b),
that is, TINf(H2(−b,b))⊂D2(Lq,IN) and
[TABLE]
Proof. We show that
[TABLE]
Let us first see that (62) is valid for
p∈P(R). Indeed, set p(x)=∑k=0Mckxk.
By the linearity of TINf, Theorem
26 and (60) we have
[TABLE]
This establishes (62) for p∈P(R). Take u∈H2(−b,b) arbitrary. There exists a sequence
{pn}⊂P(R) such that pn(j)⇉[−b,b]u(j), j=0,1, and pn′′→u in L2(−b,b), when n→∞ (see
[14, Prop. 4]). Since RINfTINf∈B(L2(−b,b),L2(0,b)) we have
[TABLE]
and we obtain (62). Hence, by Remark
20, TINf(H2(−b,b))⊂D2(Lq,IN), and since Lq,INφf(k)=0 for
k=0,1, applying Lq,IN in both sides of
(62) we have (61).
6 Fourier-Legendre and Neumann series of Bessel functions expansions
6.1 Fourier-Legendre series expansion of the transmutation kernel
Fix x∈(0,b]. Theorem 10 establishes that
KINh(x,⋅)∈L2(−x,x), then KINh(x,t) admits a Fourier series in terms of an orthogonal basis of
L2(−x,x). Following [30], we choose the orthogonal basis of
L2(−1,1) given by the Legendre polynomials {Pn(z)}n=0∞.
Thus,
[TABLE]
where
[TABLE]
The series (63) converges with respect to t in the
norm of L2(−x,x). Formula (64) is obtained
multiplying (63) by Pn(xt), using the general Parseval’s identity [2, pp. 16] and taking
into account that ∥Pn∥L2(−1,1)2=2n+12, n∈N0.
Example 30
Consider the kernel KI10(x,t)=2α1H(x−x1)χ[2x1−x,x] from Example 11. In this
case, the Fourier-Legendre coefficients has the form
[TABLE]
From this we obtain a0(x)=2α1H(x−x1)(x−x1). Using
formula Pn(t)=2n+11dtd(Pn+1(t)−Pn−1(t)) for n∈N, and that Pn(1)=0 for all
n∈N, we have
[TABLE]
Remark 31
From (64) we obtain that the first coefficient
a0(x) is given by
[TABLE]
Thus, we obtain the relations
[TABLE]
For the kernels GINh(x,t) and SIN(x,t) we obtain the series representations in terms of the even and odd
Legendre polynomials, respectively,
[TABLE]
where the coefficients are given by
[TABLE]
The proof of these facts is analogous to that in the case of Eq.
(9), see [30] or [29, Ch. 9].
Remark 32
Since g0(x)=2a0(x), then
g0(x)=eINh(0,x)−1. Since eINh(0,x) is the solution of (1) with ρ=0 satisfying
eINh(0,0)=1, (eINh)′(0,0)=h, hence by Remark 5, eINh(0,x)=cINh(0,x) and
[TABLE]
On the other hand, for the coefficient s0(x) we have the relation
[TABLE]
Since \frac{\sin(\rho x)}{\rho}\big{|}_{x=0}=x, from (31)
we have
[TABLE]
For every n∈N0 we write the Legendre polynomial Pn(z) in
the form Pn(z)=∑k=0nlk,nzk. Note that if n is even,
lk,n=0 for odd k, and P2n(z)=∑k=0nl~k,nz2k
with l~k,n=l2k,2n. Similarly P2n+1(z)=∑k=0nl^k,nz2k+1 with l^k,n=l2k+1,2n+1. With this notation we
write an explicit formula for the coefficients (64)
of the canonical transmutation kernel KJNf(x,t).
Proposition 33
The coefficients {an(x)}n=0∞ of the Fourier-Legendre expansion (63) of
the canonical transmutation kernel KINf(x,t) are given
by
[TABLE]
The coefficients of the canonical cosine and sine kernels satisfy the
following relations for all n∈N0
Hence (72) follows from Theorem
26 and that Pn(z)=1. Since gn(x)=2a2n(x),
sn(x)=2a2n+1(x), l2k+1,2n=0, l2k,2n+1=0 and l2k,2n=l~k,n,l2k+1,2n+1=l^k,n, we obtain
(73) and (74).
Remark 34
By Remark 27,
formula (72) is well defined at x=0. Note that
xnan(x) belongs to D2(Lq,IN) for all n∈N0.
6.2 Representation of the solutions as Neumann series of Bessel
functions
Similarly to the case of the regular Eq. (13) [30], we
obtain a representation for the solutions in terms of Neumann series of Bessel
functions (NSBF). For M∈N we define
The solutions cINh(ρ,x) and
sIN(ρ,x) admit the following NSBF representations
[TABLE]
where jν stands for the spherical Bessel function jν(z)=2zπJν+21(z) (and Jν stands for the
Bessel function of order ν). The series converge pointwise with respect to
x in (0,b] and uniformly with respect to ρ on any compact subset of
the complex ρ-plane. Moreover, for M∈N the functions
[TABLE]
obey the estimates
[TABLE]
*for any ρ∈C belonging to the strip ∣Imρ∣⩽C, C>0, and where
ϵM(x)=∥KINh(x,⋅)−KIN,2Mh(x,⋅)∥L2(−x,x).*
Proof. We show the results for the solution cINh(ρ,x) (the
proof for sIN(ρ,x) is similar). Substitution of the
Fourier-Legendre series (66) in
(30) leads us to
[TABLE]
(the exchange of the integral with the summation is due to the fact that the
integral is nothing but the inner product of the series with the function
cos(ρt) and the series converges in L2(0,x)). Using
formula 2.17.7 in [40, pp. 433]
[TABLE]
we obtain the representation (75). Take C>0 and ρ∈C with ∣Imρ∣⩽C. For M∈N
define GIN,Mh(x,t):=KIN,2Mh(x,t)−KIN,2Mh(x,−t)=∑n=0Mxgn(x)P2n(xt), the M-th partial sum of
(66). Then
[TABLE]
Using the Cauchy-Bunyakovsky-Schwarz inequality we obtain
[TABLE]
Since ∥KINh(x,⋅)−KIN,2Mh(x,⋅)∥L2(−x,x)=21∥GINh(x,⋅)−GM,nh(x,⋅)∥L2(0,x),
[TABLE]
and the function ξsinh(ξx) is monotonically increasing in
both variables when ξ,x⩾0, we obtain
(79).
Given H∈C, we look for a pair of solutions ψINH(ρ,x) and ϑIN(ρ,x) of
(1) satisfying the conditions
[TABLE]
Theorem 36
The solutions ψINH(ρ,x) and ϑIN(ρ,x) admit the integral representations
[TABLE]
where the kernels GINH(x,t) and
SIN(x,t) are defined in Ω and satisfy
GINH(x,⋅),SIN(x,⋅)∈L2(0,x) for all x∈(0,b]. In consequence, the
solutions ψINH(ρ,x) and ϑIN(ρ,x) can be written as NSBF
[TABLE]
[TABLE]
with some coefficients {τn(x)}n=0∞ and {ζn(x)}n=0∞.
Proof. We prove the results for ψINH(ρ,x) (the proof for
ϑIN(ρ,x) is similar). Set y(ρ,x)=ψINH(ρ,b−x). Note that y(ρ,0)=1, y′(ρ,0)=H and for ϕ∈C0∞(0,b) we have
[TABLE]
that is, ψINH(ρ,x) is a solution of
(1) iff y(x)=ψINH(ρ,b−x) is a
solution of
[TABLE]
Since 0<b−xN<⋯<b−x0<b, hence (87) is of the
type (1) with the point interactions IN∗={(b−xN−j,αN−j)}j=0N and ψINH(ρ,b−x) is the corresponding solution cIN∗H(ρ,x) for (87). Hence
[TABLE]
for some kernel GIN∗H(x,t) defined on Ω with
GINH(x,⋅)∈L2(0,x) for x∈(0,b].
Thus,
[TABLE]
where the change of variables x↦b−x was used. Hence we obtain
(83) with GIN∗H(x,t)=GIN∗H(b−x,b−t) In consequence, by Theorem
35 we obtain (85).
The functions sk(ρ,x−xk) are entire with
respect to ρ. Then from (12) cINh(ρ,x), sIN(ρ,x) and ψINH(ρ,x) are entire as well.
(ii)
Suppose that q is real valued and α0,…,αN,u0,u1∈R. If u(λ,x) is a solution of
u(k)(λ,0)=uk, k=0,1, then by the uniqueness of the Cauchy
problem u(λ,x)=u(λ,x). In particular, for
ρ,h,H∈R, the solutions cINh(ρ,x),
sIN(ρ,x) and ψINH(ρ,x) are
real valued.
6.3 A recursive integration procedure for the coefficients {an(x)}n=0∞
Similarly to the case of the regular Schrödinger equation [29, 30, 32], we derive formally a recursive integration procedure for computing the Fourier-Legendre coefficients {an(x)}n=0∞ of the canonical transmutation kernel KJNf(x,t). Consider the sequence of functions σn(x):=xnan(x) for n∈N0. According to Remark 34, {σn(x)}n=0∞⊂D2(Lq,JN).
Remark 39
(i)
By Remark 32,
[TABLE]
(ii)
By (72), a1(x)=23(xφf(1)(x)−1). Thus, from (42) and (43) we have
[TABLE]
(iii)
For n⩾2, σn(0)=0, and by (72) we obtain
[TABLE]
By (44) and (43), Dφf(k)(0)=0 for k⩾1. Hence, σn′(0)=0.
Denote by cJNf(ρ,x) the solution of (1) satisfying (28) with h=f′(0). On each interval [xk,xk+1], k=0,⋯,N, cJNf(ρ,x) is a solution of the regular equation (9). In [30, Sec. 6] by substituting the Neumann series (75) of cJNf(ρ,x) into Eq. (9) it was proved that the functions {σ2n(x)}n=0∞ must satisfy, at least formally, the recursive relations
[TABLE]
for k=0,⋯,N. Similarly, substitution of the Neumann series (76) of sJN(ρ,x) into (9) leads to the equalities
[TABLE]
Taking into account that σn∈D2(Lq,JN) and combining (92), by Remark 39(iii) and (93) we obtain that the functions σn(x), n⩾2, must satisfy (at least formally) the following Cauchy problems
[TABLE]
Remark 40
If g∈D2(Lq,JN), then fg∈H2(0,b).
Indeed, fg∈C[0,b], and the jump of the derivative at xk is given by
[TABLE]
Hence fg∈AC[0,b], and then fg∈H2(0,b).
Proposition 41
The sequence {σn(x)}n=0∞ satisfying the recurrence relation (94) for n⩾2, with σ0(x)=2f(x)−1 and σ1(x)=23(f(x)∫0xf2(t)dt−x), is given by
[TABLE]
where
[TABLE]
and
[TABLE]
Proof. Set g∈D2(Lq,JN) and n⩾2. Consider the Cauchy problem
[TABLE]
By formula (39) and the Polya factorization Lq=−f1Df2Df1 we obtain that the unique solution of the Cauchy problem (98) is given by
[TABLE]
Consider an antiderivative ∫s2n−1Df2(s)D[s2n−3f(s)g(s)]ds. Integration by parts gives
[TABLE]
Note that
[TABLE]
Since g∈D2(Lq,JN), by Remark 40, D(f(s)g(s)) is continuous in [0,b]. Thus,
[TABLE]
is well defined at s=0 and is continuous in [0,b]. Then we obtain that
[TABLE]
with Hn[g](t):=∫0t((n−1)f(s)+sf′(s))g(s)ds,
is a continuous function in [0,b]. Now,
[TABLE]
Hence
[TABLE]
with Θn[g](x):=∫0x[Hn[g](t)−tf(t)g(t)]dt.
Finally, since σ0,σ1∈D2(Lq,JN), formula (95) is obtained for all n⩾2 by induction, taking g=σ2n−2 in (98) and ηn(x)=Hn[σn−2](x), θn(x)=Θn[σn−2](x) in (99).
Integral relations of type (95) are effective for the numerical computation of the partial sums (77) and (78), as seen in [30, 32].
7 Integral representation for the derivative
Since eINh(ρ,⋅)∈AC[0,b], it is worthwhile
looking for an integral representation of the derivative of eINh(ρ,x). Differentiating (16) we obtain
[TABLE]
Differentiating (18) and using that Hk(x,x)=21∫0xq(t+xk)dt, we obtain
[TABLE]
Denote
[TABLE]
Hence, the derivative sk′(ρ,x−xk) can be written
as
[TABLE]
where Kk1(x,t)=w(xk,x)+21∫∣t∣x−xk∂xHk(x,t)dt.
On the other hand, differentiation of (17) and the Goursat
conditions for Kh(x,t) lead to the equality
[TABLE]
Using the fact that
[TABLE]
for A,B>0 and f∈L2(R) with Supp(f)⊂[−B,B], we obtain
[TABLE]
where
[TABLE]
By Lemma 9 the support of Kxj,xk(x,t)
belongs to [xk−x−xj,x−xk+xj]. Using the equality
[TABLE]
we have
[TABLE]
where
[TABLE]
Again, by Lemma 9 the support of EINh(x,t)
belongs to [−x,x]. Since eiρxkcos(ρ(x−xk))=21eiρx(1+e−2iρ(x−xk)), we obtain the following representation.
Theorem 42
The derivative (eINh)′(ρ,x) admits the
integral representation
[TABLE]
where EINh(x,⋅)∈L2(−x,x) for all x∈(0,b].
Corollary 43
The derivatives of the solutions cINh(ρ,x) and
sIN(ρ,x) admit the integral representations
[TABLE]
where
[TABLE]
defined for x∈[0,b] and ∣t∣⩽x.
Corollary 44
The derivatives of the solutions
cINh(ρ,x) and sIN(ρ,x) admit
the NSBF representations
[TABLE]
where {ln(x)}n=0∞ and {rn(x)}n=0∞ are the
coefficients of the Fourier-Legendre expansion of MINh(x,t) and RJN(x,t) in terms of the even and odd
Legendre polynomials, respectively.
8 Conclusions
The construction of a transmutation operator that transmute the solutions of
equation v′′+λv=0 into solutions of (1) is
presented. The transmutation operator is obtained from the closed form of the
general solution of equation (1). It was shown how to
construct the image of the transmutation operator on the set of polynomials,
this with the aid of the SPPS method. A Fourier-Legendre series representation
for the integral transmutation kernel is obtained, together with a
representation for the solutions cINh(ρ,x),
sIN(ρ,x) and their derivatives as Neumann series of
Bessel functions, together with integral recursive relations for the construction of the Fourier-Legendre coefficients. The series (75), (76),
(108), (109) are
useful for solving direct and inverse spectral problems for
(1), as shown for the regular case
[28, 29, 30, 32].
Acknowledgments
Research was supported by CONACYT, Mexico via the project 284470.
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