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R E S E A R C H

Open Access

Forward scattering on the line with a transfer

condition

Sonja Currie

1*

, Marlena Nowaczyk

2

and Bruce A Watson

1

*Correspondence: [email protected]

1School of Mathematics, University of the Witwatersrand,

Johannesburg, Private Bag 3, PO WITS 2050, South Africa Full list of author information is available at the end of the article

Abstract

We consider scattering on the line with a transfer condition at the origin. Under suitable growth conditions on the potential, the spectrum consists of a finite number of eigenvalues which are negative real numbers, while the remainder is continuous spectrum which is comprised of the positive real axis. Asymptotics are provided for the Jost solutions. Conditions which characterize transfer conditions resulting in self-adjoint problems are found. Properties are given of the scattering coefficient linking it to the spectrum.

MSC: 34L25; 47N50; 34B10; 34B40

Keywords: scattering; transfer condition; asymptotics; Jost solutions; spectrum

1 Introduction

The mathematical analysis of scattering theory has been a major area of interest in math-ematics and physics research since the latter half of the twentieth century. In this work we investigate forward scattering for the differential equation

y:= –dy

dx +q(x)y=ζ

y, on (–, )(,), (.)

inL(–, )L(,) =L(R) with the point transfer condition

y(+) y(+)

=M

y(–) y(–)

. (.)

Here, the entries ofMare taken to be real,qL(R) is assumed to be real-valued and obey the growth condition

–∞

 +|x|q(x)dx<∞. (.)

Note that (.) gives thatqL. Denotef(+) :=lim

t↓f(t) andf(–) :=limt↑f(t). The operatorLinL(R) is defined by

Ly=y (.)

onR\ {}foryin the domainD(L) ofL, where

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Only point transfer matrices at the origin will be considered, and henceforth we will refer to them as transfer matrices. In [] conditions for self-adjointness and limit point/limit circle criteria are considered for a more general problem.

In the physical context, the transfer matrix represents a change of medium which affects the incident wave as represented by components of the matrix. Livšic in [, p.] gives a concrete physical example of a scattering problem of the form given above. He considers a uniform, infinite string, attached at the pointx=  to a transverse spring. The behaviour at the point of attachment is described by what we have called the transfer matrixM.

Our transfer matrices will be real constant transfer matrices,i.e., all components will be constants. The theory could be extended to eigenparameter-dependent transfer matrices, this will be considered in future studies. Gordon and Pearson, in [], characterized the self-adjoint constant point transfer matrices as well as eigenparameter-dependent ones.

The Jost solutions of (.) represent oscillations moving left or right onR. The scatter-ing data is defined in terms of these solutions. The classical Jost solutions correspond to the case where the transfer matrixMis the identity. In particular, asymptotic approxima-tions to the classical Jost soluapproxima-tions and their derivatives, as well as some basic relaapproxima-tions regarding them, are given. The Jost solutions for the scattering problem with a transfer condition (M=I) are then expressed in terms of the classical Jost solutions. Consequently, we consider functional analytic aspects of the operatorLsuch as location of eigenvalues and continuous spectrum, multiplicity of eigenvalues, properties of the scattering coeffi-cients/scattering matrix and the reflection coefficient. We show that the operatorLhas finitely many eigenvalues, they are negative and simple, and that the positive real axis [,∞) is the continuous spectrum ofL.

This paper is structured as follows. The Jost solutions of the scattering problem (.) and (.) are defined in Section . In addition, some basic properties and asymptotic ap-proximations of the classical Jost solutions and their derivatives are recalled. In Section , the scattering problem is reformulated as a system spectral problem, and we prove that Lis self-adjoint if and only ifdetM= . Moreover, it is shown that all the eigenvalues are negative and that the entire non-negative real half-line is the continuous spectrum ofL. In Section , since the scattering problem (.) and (.) can be considered as two half-line problems, the Jost solutions are expressed in terms of the classical Jost solutions. Asymp-totics for the scattering coefficients are determined, and we prove that the problem has finitely many eigenvalues all of which are simple. In the final section, Section , we give a relationship between the norming constants and the derivative of the scattering coeffi-cient.

The results obtained in this paper provide the foundation needed in order to consider the associated inverse problem, this will be the topic of a subsequent paper.

2 Preliminaries

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Definition .[, p.] The Jost solutionsf+,M(x,ζ) andf–,M(x,ζ) are the solutions of (.) and (.) with

lim

x→∞e

iζxf+,

M(x,ζ) = ,

lim

x→–∞e iζxf–,

M(x,ζ) = .

WhenM=I, the subscriptMwill be dropped. In this case, the existence and asymptotic behaviour of the Jost solutions are well known, see [, ]. In particular,

f+(x,ζ) =eiζx+O

C(x)ρ(x)eηx  +|ζ|

, (.)

df+

dx(x,ζ) =iζe iζx

x

cosζ(xτ)q(τ)eiζ τdτ+O

C(x)ρ(x)σ(x)eηx  +|ζ|

(.)

and

f–(x,ζ) =eiζx+O

C(–x)ρ˜(x)eηx  +|ζ|

, (.)

df–

dx(x,ζ) = –iζeiζx+

x

–∞

cosζ(xτ)q(τ)eiζ τdτ+O

C(–x)ρ˜(x)σ˜(x)eηx  +|ζ|

, (.)

as|x|+|ζ| → ∞, whereη=(ζ). Here,C(x) is a non-negative, non-increasing function of xand

ρ(x) =

x

 +|τ|q(τ),

˜

ρ(x) =

x

–∞

 +|τ|q(τ),

σ(x) =

x

q(τ),

˜

σ(x) =

x

–∞

q(τ).

Letζ be real and denoteζ=ξ∈R. Then asξ=ξ,f+(x,ξ) obeys equations (.) and (.) withM=I. Taking the conjugate of the integral equation

f+(x,ξ) =eiξx

x

sin(ξ(xτ))

ξ q(τ)f+(τ,ξ), (.)

which definesf+, gives

f+(x,ξ) =eiξx

x

sin(–ξ(xτ))

(–ξ) q(τ)f+(τ,ξ).

From the above two expressions and the uniqueness of the solution of (.), we have

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The asymptotic results given earlier in this section obviously hold for the conjugate solu-tionf+(x,ξ) but with the simplification thatη=  in this case. In particular,

f+(x,ξ) =eiξx+O

C(x)ρ(x)  +|ξ|

, (.)

df+

dx (x,ξ) = –iξeiξx+

x

cosξ(xτ)q(τ)eiξ τdτ+O

C(x)ρ(x)σ(x)  +|ξ|

, (.)

whereC(x) is non-increasing andρandσare as defined earlier.

Note that the Wronskian, W[f+,f+], of f+ and f+ for ξ ∈ R and x∈R is given by W[f+,f+](x,ξ) = –, see []. Thusf+(x,ξ) andf+(x,ξ) =f+(x, –ξ) forξ=ζ ∈R\ {}are independent.

3 Nature of the spectrum

Here we consider the scattering problem on the line with transfer condition (.) atx= . In order for (.) and (.) to be self-adjoint inL((–, )(,)) =L(R), the transfer matrixMwill have to be of a certain form. Here, we restrict our attention to the most interesting case ofMinvertible, the case ofMnon-invertible will be considered elsewhere. The scattering problem can then be treated as two classical half-line problems joined at the origin by matrix condition (.).

The operator eigenvalue problem associated withL, of (.), can be reformulated as a system eigenvalue problem as follows. Lety(t) =y(t),y(t) =y(–t) andY(t) =

y(t)

y(t)

and consider the differential operator inL(,)L(,) given by

TY:= –dY

dx +QY=ζ

Y, (.)

whereQ(t) =q(t)q(–t). The domain ofT is given by

D(T) =Y|Y,TYL(,∞),Y,YAC,UY() =VY() , (.) whereU= –m

m

andV= –m

m

. Here,mij, fori,j= , , are the entries of the transfer matrixM. As the norm onL(,)L(,), we take

Y=

YTY dx.

It should be noted here thatLandT are unitarily equivalent by the map :L(R) (L(,))given by y=y

y

, where

y(t) =

y(t), t> , y(–t), t< .

It is easily verified that is a bijective isometry betweenL(R) and (L(,∞))with the additional properties that (D(L)) =D(T) and –T =L.

The transfer matrix scattering problem can now be posed as

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LetF,GD(T). Define

S(F,G) :=TF,G–F,TG forF,GD(T),

where

F,G=

F(x)TG(x)dx. (.)

We now obtain conditions on the transfer matrix which ensure thatT is a self-adjoint operator. We begin by defining the minimal and maximal operators associated withT.

The minimal operator associated withTisTwhich is given by

D(T) =FL(,∞)|F,FAC,F() =F() =  with

TF=TF forFD(T).

The maximal operator associated withTisTmax=T∗, where D(Tmax) =FL(,∞)|F,FAC .

Note thatThas deficiency indices (, ).

Theorem . IfdetM= ,then the operator L is a self-adjoint operator if and only if

detM= .

Proof We will prove the result for the operatorTand, consequently, it will be true for the operatorL.

LetF=f

f

,G=gg

∈(C(,∞))such thatF(x) =G(x) =  for allxK. Then, since qL(R),F,GD(Tmax). Also,

TmaxF,G–F,TmaxG=TF,G–F,TG

=S(F,G) =

fgfg+fgfgdx = –fgfg+fgfg().

As the deficiency indices ofTare (, ), we need to restrict the domain ofTmaxby two boundary conditions to ensure self-adjointness, see Weidmann [, p.]. For the operator to be self-adjoint with two linear domain conditions, they must ensure that (fgfg+ fgfg)() = .

We now show what the above condition implies in terms of the transfer matrixM,

S(F,G) = –FTGFTG() = –FT,FT

II

G G

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DenoteJ=II, then we have thatJT= –JandJ= –I. LetUandVbe as in (.), then ifF,GD(T) we have

UG() =VG()

and

FT()UT=FT()VT.

So F F (), G G ()∈ ⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩ α ⎡ ⎢ ⎢ ⎢ ⎣ detM mm ⎤ ⎥ ⎥ ⎥ ⎦+β

⎡ ⎢ ⎢ ⎢ ⎣  –m detMm

⎤ ⎥ ⎥ ⎥

⎦:α,β∈C ⎫ ⎪ ⎪ ⎪ ⎬ ⎪ ⎪ ⎪ ⎭ , where detM m  m and

m detMm

are linearly independent. Thus we require

⎡ ⎢ ⎢ ⎢ ⎣

detMm –m

 detM mm

⎤ ⎥ ⎥ ⎥ ⎦ TII

⎢ ⎢ ⎣

detMm –m

 detM mm

⎤ ⎥ ⎥ ⎥ ⎦= .

Thus (detM)= –mm+mm=detMgiving thatdetM=  sinceMis invertible.

It should be noted that in [] a condition on the transfer matrix Mis given for self-adjointness; however, for the case ofdetM= , where the entries ofMare real, the proof presented above is substantially simpler.

Throughout the remainder of the paper, we will now assume thatdetM= .

Theorem . LetdetM= .All eigenvalues(if any)of L as defined in(.), (.),and con-sequently of T,are negative.

Proof Forλ=ζR\{},f+andf

+constitute an independent set of solutions to equation (.). IfLhas a positive eigenvalueλ=ξ> , whereξ> , thenLhas an eigenfunction of the form

F(x,ξ) =cf+(x,ξ) +cf+(x,ξ)

forx> . From (.) and (.)

f+(x,ξ) =eiξx+O

C(x)ρ(x)  +|ξ|

,

f+(x,ξ) =eiξx+O

C(x)ρ(x)  +|ξ|

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for|ξ|+xlarge,ξ∈R,x> . Hence

F(x,ξ) /∈L(,∞)

if|c|+|c| =  andLhas noλpositive eigenvalues.

From the definition off+(x, ), we have thatf+(x, )→ asx→ ∞, sof+(x, ) /∈L(,∞). Observe that

g(x) :=f+(x, )

x

c

(f+(τ, ))

is a solution of (.) which is asymptotic toxforx→ ∞, [, p.], and therefore linearly independent off+(x, ). Butaf+(x, ) +bg(x) is asymptotic toa+bxasx→ ∞, and thus not inL(,∞) unless|a|+|b|= . Henceξ=  is not an eigenvalue ofL.

We now study the continuous spectrum.

Theorem . The continuous spectrum of T(and thus of L)is[,∞).

Proof From [, p.] or [, p.], asTis self-adjoint, the spectrum ofT,σ(T), is com-prised of continuous and point spectrum only,i.e.,T has no residual spectrum. In addi-tion, the continuous spectrum ofT is real. By [] the essential spectrum of the minimal operator generated byTis [,∞) and this is the same as the essential spectrum ofT, see []. Thus, asThas no residual spectrum, we have that the continuous spectrum ofTis

[,∞).

4 Jost solutions with a transfer condition

We now consider the Jost solutions to problem (.). Since this problem can be considered as two half-line problems, solutions to (.) can be given in terms of the classical Jost solutionsf+(x,ζ) andf–(x,ζ),i.e., whenM=I.

The solutionsf+,M(x,ζ) andf–,M(x,ζ), as per Definition ., can be expressed as

f+,M(x,ζ) :=

f+(x,ζ), x> ,

h(x,ζ), x< , (.)

f–,M(x,ζ) :=

f–(x,ζ), x< ,

h(x,ζ), x> , (.)

whereh(x,ζ) is a solution of (.) on (–∞, ) obeying the condition

h(–,ζ) h(–,ζ)

=M–

f+(+,ζ) f+(+,ζ)

,

andh(x,ζ) is a solution of (.) on (,∞) obeying the condition

h(+,ζ) h(+,ζ)

=M

f–(–,ζ) f(–,ζ)

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Here, it should be noted that the existence of an extension off+from (,∞) to the solu-tionf+,MonR\ {}relies onMbeing non-singular.

As in the classical case, forζ =ξ∈R, we may find the conjugate Jost solution. In this case, forf+,M(x,ξ), we have

f+,M(x,ξ) =

f+(x,ξ) =f+(x, –ξ), x> , h(x,ξ) =h(x, –ξ), x< ,

(.)

where the transfer condition holds atx= .

Sincef+,M(x,ξ) andf+,M(x,ξ) are equal tof+(x,ξ) andf+(x,ξ) on (,∞), we see thatf+,M andf+,M are linearly independent on (,∞) for allξ ∈R\ {}. Thereforeh can be ex-pressed as a linear combination off+,Mandf+,Mon (,∞) with coefficientsA(ξ) andB(ξ) giving that on (,∞)

f–,M(x,ξ) =A(ξ)f+,M(x,ξ) +B(ξ)f+,M(x,ξ). (.)

Note that (.) also holds on (–∞, ) asdetM= . For(ζ)≥,ζ= , we extendA(ξ) toC+by

A(ζ) = – iζW

f+,M(x,ζ),f–,M(x,ζ)

, (.)

and forξ∈R\ {},

B(ξ) =  iξW

f+,M(x, –ξ),f–,M(x,ξ)

. (.)

Theorem . Forξ∈R\ {},A(ξ)and B(ξ)satisfy the following equality:

A(ξ)–B(ξ)= .

Proof We begin by obtaining an expression for the solutionf+,M(x,ξ) in terms of the con-jugate solutionsf–,M(x,ξ) andf–,M(x,ξ) forξ∈R\ {}. In a similar manner to the classical case, we obtain

det

f–,M f–,M f–,M f–,M

=W[f–,M,f–,M] = –.

Thus,f–,M(x,ξ) andf–,M(x,ξ) are linearly independent forξ∈R\ {}and consequently,

f+,M(x,ξ) =G(ξ)f–,M(x,ξ) +G(ξ)f–,M(x,ξ), (.)

whereG(ξ),G(ξ) are independent ofx. Equation (.) and itsx-derivative give the matrix equation

f+,M f+,M

=

f–,M f–,M f–,M f–,M

G G

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which has a solution

G G

=

f–,M f–,M f–,M f–,M

–

f+,M f+,M

= iξ

f–,Mf–,Mf–,M f–,M

f+,M f+,M

.

Thus, from (.),

G(ξ) = iξ

f+,Mf–,Mf–,Mf+,M

= i

ξW[f+,M,f–,M]

=A(ξ),

and, by (.),

G(ξ) = iξ

f–,Mf+,Mf–,Mf+,M

= i

ξW[f–,M,f+,M]

= –B(ξ).

Combining the expressions forG(ξ) andG(ξ) with (.) gives

f+,M(x,ξ) =A(ξ)f–,M(x,ξ) –B(ξ)f–,M(x,ξ). (.)

Substituting (.) into (.) gives

f–,M(x,ξ) =A(ξ)f+,M(x,ξ) +B(ξ)f+,M(x,ξ)

=A(ξ)A(ξ)f–,M(x,ξ) –B(ξ)f–,M(x,ξ)

+B(ξ)A(ξ)f–,M(x,ξ) –B(ξ)f–,M(x,ξ)

=A(ξ)–B(ξ)f–,M(x,ξ).

Now, sincef–,M(x,ξ) ≡ forξ∈R\ {},x∈R,

A(ξ)–B(ξ)= .

The reflection coefficient can be defined for this case as

R(ξ) = B(ξ)

A(ξ), ξ∈R. (.)

By Theorem ., all eigenvalues,ζ, for the scattering problem (.)-(.) on the line are negative. So, for each eigenvalue,ζ is of the form

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Letζ =,η∈R+. Then, for largex> ,f+,

M(x,) =f+(x,) =eηx( +o()) by (.). So there existsasuch that|f+(x,)|>  for allxa. Direct computation gives that

y(x) =

x

a f+(x) f

+(t) dt=e

ηxη

 +o()

is a solution of differential equation (.) on [a,∞) which in not inL[a,). Elementary existence theory for differential equations gives thatycan be extended to a solution of dif-ferential equation (.) with transfer condition (.) on (–∞, )∪(,∞). Since the transfer matrixMis invertible and (.) is second-order, the solution space to (.) with transfer condition (.) on (–∞, )∪(,∞) is -dimensional. Combining these facts gives that the geometric multiplicity of an eigenvalue is . Thus, ifζ is an eigenvalue, then for some k∈C\ {},f–,M(x,ζ) =kf+,M(x,ζ) for allx∈R+. Consequently,ζis an eigenvalue if and only ifW[f–,M,f+,M](x,ζ) = ,i.e., from (.),A(ζ) = . Hence, forζ=,η∈R+withζan eigenvalue of (.)-(.), we have

A() = . (.)

Conversely, if A(ζ) = , then f–,M(x,ζ) and f+,M(x,ζ) are linearly dependent making f+,M,f–,ML(–∞,∞). Thusζis an eigenvalue andζ =for someη∈R+.

Theorem . The function A(ζ)has a finite set of zeros.

Proof We know, from the above reasoning, that ifA(ζ) =  thenζ =for someη∈R+. It should be noted thatA(ζ) is analytic on the upper half-plane and continuous there and up to the boundary.

We now compute the asymptotic form ofA(ζ). For|ζ|large in the upper half-plane, takingx→+in (.), we obtain

A(ζ) = –  det

f+,M(+,ζ) f–,M(+,ζ) f+,M(+,ζ) f

–,M(+,ζ)

= –  det

f+,M(+,ζ) f+,M(+,ζ) M

f–,M(–,ζ) f–,M(–,ζ)

= –  det

f+(,ζ) mf–(,ζ) +mf(,ζ) f+(,ζ) mf–(,ζ) +mf(,ζ)

= – 

f+(,ζ)

mf–(,ζ) +mf–(,ζ)

f+(,ζ)mf–(,ζ) +mf–(,ζ) .

Substituting into the above the asymptotic approximations to the Jost solutions for large values of|ζ|, we get, for(ζ)≥,

A(ζ) =mi ζ+

m+m

 +

m

–∞

cos(–ζ τ)q(τ)eiζ|τ|dτ+O

  +|ζ|

. (.)

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away from zero for largeζ in the upper half-plane giving thatA(ζ) does not have an un-bounded sequence of zeros.

Using the same approach as in [], by Lemma .,|A(ζ)|is bounded in a neighbourhood of the real axis, so the zeros ofA(ζ) have no finite accumulation point and are thus a finite

set.

From Theorem . and the reasoning preceding Theorem ., we obtain the following corollary.

Corollary . The scattering problem with a transfer condition has a finite number of

eigenvalues,all of which are simple.

We note for reference the following properties ofB(ξ). From (.), we have

B(ξ) =  iξW

f+,M(x,ξ)f–,M(x,ξ)

, ξ∈R\ {}.

Takingx→+, we obtain

B(ξ) = –  det

f+,M(+,ξ) f

–,M(+,ξ) f+,M(+,ξ) f

–,M(+,ξ)

= –  det

f+(,ξ) f+(,ξ) M

f–(,ξ) f(,ξ)

.

For|ξ|large, we get

B(ξ) = –mi ξ+

mm

 –

m

–∞

cos(ξ τ)q(τ)eiξ τdτ+O

  +|ξ|

. (.)

5 Norming constants and the zeros ofA(

ζ

)

Denote the eigenvaluesζ, whereζ =,η∈(,∞), by  <η<η<· · ·<ηN. We define the norming constantsckby

ck

=

–∞

f+,M(x,iηk) 

dx=

–∞

h(x,iηk) 

dx+

f+(x,iηk) 

dx. (.)

Theorem . The zeros of A(ζ)are simple.In addition,ifζ= –η

kis an eigenvalue of the scattering problem with a transfer condition,then

dA(ζ)

ζ=iηk =idk

ck ,

where f–,M(x,iηk) =dkf+,M(x,iηk)for all x∈R\ {}and dk= .

Proof Differentiating (.), we get

dA = –

ζA(ζ) +

iζW

∂f+,M

∂ζ ,f–,M

+ iζW

f+,M,

∂f–,M

∂ζ

(12)

where the right-hand side is independent ofx. So,

dA (iηk) =

 ηk

W

∂f+,M

∂ζ ,f–,M

(x,iηk) +  ηk

W

f+,M,

∂f–,M

∂ζ

(x,iηk).

The functionsf+,Mandf–,M obey –f+qf =ζf so, differentiating this equation with re-spect toζ, gives

∂f

+,M

∂ζ +q(x) ∂f+,M

∂ζ = ζf+,M+ζ

∂f+,M

∂ζ

and similarly forf–,M. Thus

d dxW

∂f+,M

∂ζ ,f–,M

= ζf+,Mf–,M, x=  (.)

and

d dxW

f+,M,

∂f–,M

∂ζ

= –ζf+,Mf–,M, x= . (.)

Lety>x> , integrating (.) over the interval [x,y] gives

W

∂f+,M

∂ζ ,f–,M

(y) –W

∂f+,M

∂ζ ,f–,M

(x) = ζ

y

x

f+,Mf–,Mdx, (.)

where we should keep in mind thatf–,M=hon the positive semi-axis, see (.). Similarly for –y<x< , integrating (.) over the interval [–y,x], we get

W

f+,M,

∂f–,M

∂ζ

(x) –W

f+,M,

∂f–,M

∂ζ

(–y) = –ζ

x

y

f+,Mf–,Mdx. (.)

Let be a square (with side length equal toε) contour oriented anticlockwise around iηk (see Figure ), whereε>  is sufficiently small thatηk>εandε<ηi+–ηi for alli= , . . . ,N– .

By Cauchy’s integral representation for analytic functions and their derivatives, we have

∂f+,M

∂ζ (x,iηk) =

 πi

f+,M(x,z) (ziηk)

dz.

Since|ziη k|≤

ε, forz, we have

∂f+,M

∂ζ (x,iηk)

≤ 

π

εεmaxzf+,M(x,z)≤ 

π εmaxz

f+,M(x,z).

(13)

From (.), forx> , we obtain

∂f+,M

∂ζ (x,iηk)

≤ 

π εmaxz

e–(z)x+C(x)ρ(x)e –(z)x  +|z|

,

which is bounded on each interval of the form [y,∞). Similarly, asf+,M(x,ζ) is analytic in the upper half-plane and twice differentiable with respect toxonR, we have

d dx

∂f+,M

∂ζ (x,iηk) = ∂f+,M

∂ζ (x,iηk).

Proceeding as above, we obtain

∂f+,M

∂ζ (x,iηk)

≤ 

π maxz

f+,M(x,z),

which by (.) is bounded on each interval of the form [y,∞). In exactly the same way, it can be shown that ∂f–,M

∂ζ (x,iηk) and ∂f–,M

∂ζ (x,iηk) are bounded functions on each

inter-val of the form (–∞, –y]. Now, forζ an eigenvalue, we have, by the reasoning prior to Lemma ., thatζ=iηkforηk∈R+andf–,M(x,iηk) =dkf+,M(x,iηk) for somedk∈C\ {}.

Thus

W

∂f+,M

∂ζ ,f–,M

(–y,iηk) =W

dk

∂f–,M

∂ζ ,f–,M

(–y,iηk)→

and

W

∂f+,M

∂ζ ,f–,M

(y,iηk) =W

∂f+,M

∂ζ ,dkf+,M

(y,iηk)→

asy→ ∞. Lettingy→ ∞in (.) and (.), from the above equations, we get

W

f+,M,

∂f–,M

∂ζ

(x,iηk) = –iηk

x

f+,Mf–,M|ζ=iηkdx, x> 

and

W

∂f+,M

∂ζ ,f–,M

(x,iηk) = –iηk

x

–∞f+,Mf–,M|ζ=iηkdx, x< .

Hence

dA (iηk) =

 ηk

(–iηk)

x

f+,Mf–,M|ζ=iηkdx+

x

–∞

f+,Mf–,M|ζ=iηkdx

for eachx> . So, lettingx→+, we obtain

dA

(iηk) = –i

–∞f+,Mf–,M|ζ=iηkdx+

–∞

f+,Mf–,M|ζ=iηkdx

= –idk

–∞f

+,M|ζ=iηkdx

= –idk ck

= 

(14)

Note that the theorem given above is especially useful when solving the associated (ma-trix) inverse scattering problem using the approach given in [] say, since it provides an explicit relationship between the norming constantsckand the constantsdkin terms of the derivative ofA(ζ).

The inverse scattering problem, building on the results obtained here, will be considered in the sequel to this paper.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

SC, MN and BAW contributed equally to all aspects of the work. All authors read and approved the final manuscript.

Author details

1School of Mathematics, University of the Witwatersrand, Johannesburg, Private Bag 3, PO WITS 2050, South Africa. 2Faculty of Applied Mathematics, AGH University of Science and Technology, al. A. Mickiewicza 30, Krakow, 30-059, Poland.

Acknowledgements

The authors would like to thank the referees for their useful comments and suggestions. The first author was supported by NRF Grant No. IFR2011040100017. The second author was partially supported by Foundation for Polish Science, Programme Homing 2009/9. The third author was supported by NRF Grant No. IFR2011032400120.

Received: 18 June 2013 Accepted: 1 November 2013 Published:25 Nov 2013 References

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10.1186/1687-2770-2013-255

Cite this article as:Currie et al.:Forward scattering on the line with a transfer condition.Boundary Value Problems

References

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