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Articles

An inverse problem for non-selfadjoint Sturm–Liouville operator with discontinuity conditions inside a finite interval

, &
Pages 407-421 | Received 08 Aug 2017, Accepted 14 Apr 2018, Published online: 16 May 2018

ABSTRACT

This paper is concerned with the inverse problem for non-selfadjoint Sturm–Liouville operator with discontinuity conditions inside a finite interval. Firstly, we give the definitions of generalized weight numbers for this operator which may have the multiple spectrum and then investigate the connections between the generalized weight numbers and other spectral characteristics. Secondly, we obtain the generalized spectral data, which consists of the generalized weight numbers and the spectrum. Then the operator is determined uniquely by the method of spectral mappings. Finally, we give an algorithm for reconstructing the potential function and the coefficients of the boundary conditions and the coefficients of the discontinuity conditions.

AMS SUBJECT CLASSIFICATIONS:

1. Introduction

In this paper, we consider the following non-selfadjoint boundary value problem L=L(qx,h,H,β,γ,d) for the equation:(1) y:=-y+qxy=λy(1)

on the interval 0<x<π with the boundary conditions(2) Uy:=y0-hy0=0,Vy:=yπ+Hyπ=0(2)

and the discontinuity conditions(3) yd+0=βyd-0,yd+0=β-1yd-0+γyd-0(3)

at d0,π, where q(x)L2[0,π] is a complex-valued function, h, H, γ are complex numbers and βR, β0.

There has been extensive study of inverse problems for Sturm–Liouville operator with discontinuity conditions inside a finite interval since the discontinuities are connected with non-smooth material properties. The inverse problem for selfadjoint Sturm–Liouville operator with different type discontinuity has been considered and solved by different methods in [Citation1Citation10]. [Citation11,Citation12] studied the inverse spectral problem for discontinuous Sturm–Liouville operators with boundary conditions linearly dependent on the spectral parameter. The inverse problem for non-selfadjoint Sturm–Liouville operator with discontinuity inside an interval has been investigated in [Citation13,Citation14] when the spectrum is simple.

Recently, many authors paid more attention on the inverse problem for the non-selfadjoint operator with multiple spectrum (see [Citation15Citation20] and the references therein). Especially, Buterin [Citation18] considered the inverse problem for the boundary value problem (Equation1), (Equation2) with an arbitrary behaviour of the spectrum and gave generalized weight numbers more naturally and proved that a multiple spectrum and the generalized weight numbers determine the potential function and boundary conditions uniquely. In this paper, we add the discontinuity conditions () at d0,π to the boundary value problem (Equation1), (Equation2) and give the generalized weight numbers for discontinuous non-selfadjoint Sturm–Liouville operator with multiple spectrum, and recovering this operator from its spectral characteristics by spectral mappings (see [Citation21]).

This paper is organized as follows. In Section 2, some basic definitions and useful properties are given. We devote Section 3 to give the useful definition of generalized spectral data. The connections between the generalized spectral data and other spectral characteristics are investigated in Section 4. In Section 5, by the method of spectral mappings, we prove that the given generalized spectral data uniquely determine the potential q and the coefficients h, H, β, γ, respectively, and then give an algorithm for reconstructing the operator Lqx,h,H,β,γ,d.

2. Preliminaries

Let yx, zx be continuously differentiable functions on [ 0, d] and [d,π]. Denote yx,zx:=yxzx-yxzx. If yx and zx satisfy the discontinuity conditions (Equation3), then(4) yx,zxx=d-0=yx,zxx=d+0.(4)

Let φx,λ, ψx,λ be solutions of Equation (Equation1) satisfying the discontinuity conditions (Equation3) and the initial conditions(5) φ0,λ=ψπ,λ=1,φ0,λ=h,ψπ,λ=-H,(5)

respectively. Then Uφ=Vψ=0. Denote Δλ:=φx,λ,ψx,λ, then Δλ is independent of x. From (Equation5), we obtain(6) Δλ=-Vφ=Uψ.(6)

In the following, we give three powerful and important lemmas, the rigourous proof of these lemmas which can be referred to [Citation2,Citation22Citation26] and no proof will be given here.

Lemma 2.1:

The zeros of Δλ coincide with the eigenvalues λn, nN:={0,1,2,,n,} of L. φx,λn and ψx,λn are corresponding eigenfunctions of L.

Proof See [Citation18, p.740] and [Citation14, p.3].

Lemma 2.2:

Let ρ=λ, τ=Imρ. For ρ,(7) φx,λ=cosρx+O1ρexpτx,x<d,b1cosρx+b2cosρ2d-x+O1ρexpτx,x>d,(7) (8) φx,λ=-ρsinρx+Oexpτx,x<d,ρ-b1sinρx+b2sinρ2d-x+Oexpτx,x>d,(8) (9) ψx,λ=b1cosρπ-x-b2cosρπ+x-2d+O1ρexpτπ-x,x<d,cosρπ-x+O1ρexpτπ-x,x>d,(9) (10) ψx,λ=ρb1sinρπ-x+b2sinρπ+x-2d+Oexpτπ-x,x<d,ρsinρπ-x+Oexpτπ-x,x>d,(10) Δλ=ρb1sinρπ-b2sinρ2d-π+Oexpτπ,

where b1=β+β-12, b2=β-β-12.

In particular, for j=0,1, we obtain(11) φjx,λ=Oρjexpτx,(11) (12) ψjx,λ=Oρjexpτπ-x.(12)

Proof The proof is similar to the selfadjoint case, see [Citation2, p.145–146].

Lemma 2.3:

The roots λn1=ρn12 , nN ofΔ1λ:=ρb1sinρπ-b2sinρ2d-π

are separated. For fixed δ and sufficiently large λ,(13) ΔλCδρexpτπ,λGδ,(13)

where Gδ=λ=ρ2:ρ-ρn1δ. By Rouché theorem, we haveρn=λn=ρn1+θnρn1+κnρn1,

soΔλ=ϖλ-λ01Πn=1λn-λλn1,

where ϖ=πb1-2d-πb2, κnl2, and θn is a bounded sequenceθn=a1cosρn1π+a2cosρn12d-π2ddλΔ1λn1-1,a1=b1h+H+120πqtdt+γ2,a2=b2H-h+120πqtdt-0dqtdt-γ2.

Proof The proof can be refer to [Citation2, p.146] and [Citation26, Lemma 3].

3. The generalized spectral data

The algebraic multiplicity mn of the eigenvalue λn(nN) is the order of it as a root of Δλ=0, i.e. λn=λn+1==λn+mn-1. In throughout the paper, we use multiplicity instead of algebraic multiplicity for short. By the virtue of Lemma 2.3, for sufficient large n, mn=1.

Let S=n|n=1,2,,λn-1λn 0, φηx,λ=1η!dηdληφx,λ, ψηx,λ=1η!dηdληψx,λ. For η=1,2,,mn-1, nS, we have(14) φηx,λn=λnφηx,λn+φη-1x,λn,φηd+0,λn=βφηd-0,λn,φηd+0,λn=β-1φηd-0,λn+γφηd-0,λn,φη0,λn=φη0,λn=0,(14) (15) ψηx,λn=λnψηx,λn+ψη-1x,λn,ψηd+0,λn=βψηd-0,λn,ψηd+0,λn=β-1ψηd-0,λn+γψηd-0,λn,ψηπ,λn=ψηπ,λn=0.(15)

From (Equation6), we infer that1η!Δηλn=-Vφηx,λn=Uψηx,λn=0,nS,η=0,1,,mn-1,

i.e. φηx,λn and ψηx,λn, nS, η=1,2,,mn-1, are generalized eigenfunctions of L. Let(16) φn+ηx=φηx,λn,ψn+ηx=ψηx,λn,Δη,n:=1η!Δηλn,nS,η=0,1,,mn-1.(16)

It is easy to see that φnxnN, ψnxnN are complete systems of eigenfunctions and generalized eigenfunctions of L (refer to [Citation24, Theorem 1.3.2]). Naturally, we can define the generalized weight numbers αn, nN for L by the following equations:(17) αn+η=0πφn+ηxφn+mn-1xdx,nS,η=0,1,,mn-1.(17)

When the multiplicity mn=1, the generalized weight numbers αn coincide with the weight numbers for the selfadjoint Sturm–Liouville operator with discontinuity conditions inside a finite interval (see [Citation2, p.143 (10)]).

Definition 1:

The numbers λn,αnnN are called the generalized spectral data of L.

4. The Weyl function

Denote by Sx,λ, Φx,λ the solutions of equation (Equation1) under the conditionsS0,λ=UΦ=1,S0,λ=VΦ=0,

and the discontinuity conditions (Equation3). The functions Φx,λ and Mλ:= Φ0,λ are called the Weyl solution and the Weyl function for L, respectively. Evidently,(18) Φx,λ=ψx,λΔλ=Sx,λ+Mλφx,λ,(18) (19) φx,λ,Φx,λ1,(19) (20) Mλ=Δ0λΔλ,Δ0λ:=ψ0,λ.(20)

The symbol Δ0λ denotes the characteristic function of the boundary value problem consisting of the equation (Equation1), the discontinuity conditions (Equation3) and the boundary conditions y0=Vy=0. The zeros of Δ0λ are expressed in terms of λn0nN; it is easy to show that λnnN λn0nN=. Then Mλ is a meromorphic function with zeros in λn0 and poles in λn.

Next, we prove that the generalized spectral data determine the Weyl function uniquely by the following theorem. This is a generalization of corresponding result of non-selfadjoint Sturm–Liouville operator without discontinuities (see [Citation18, p.741 (9)]).

Theorem 4.1:

The Weyl function and the generalized spectral data of L satisfy the following equalities:(21) Mλ=nSmn-1η=0Mn+ηλ-λnη+1,(21) (22) ηk=0αn+η-kMn+mn-k-1=δη,0,nS,η=0,1,,mn-1,(22)

where δη,0 is Kronecker delta.

Proof Firstly, considering the contour integralINλ=12πiΓNMμλ-μdμ,λintΓN,

where ΓN:={λ:λ=RN2,RN:=ρN1+12infρM1ρN1ρM1-ρN1}, M, NN, is assumed to be counterclockwise. By the virtue of Lemma 2.3, it yields ΓNGδ for sufficiently small fixed δ>0 and sufficiently large N. The formulae (Equation12), (Equation13) and (Equation20) yieldMλCρ-1,λGδ

for sufficiently large λ. Hence limNINλ=0. Using the residue theorem (see [Citation25, V. §2.]), we calculateINλ=-Mλ+nS,λnintΓNResμ=λnMμλ-μ,λintΓn\λnnN.

Thus(23) Mλ=nSResμ=λnMμλ-μ.(23)

Set Resμ=λnMμλ-μ=:η=0mn-1Mn+ηλ-λnη+1, and in light of (Equation23), we get (Equation21).

Secondly, let us prove that coefficients Mn and the generalized weight numbers αn determine each other uniquely by the formula (Equation22). On account of (Equation20) we have MλΔλ=ψ0,λ, together with the identity (Equation21), we find(24) nSmn-1η=0Mn+ηλ-λnη+1Δλ=ψ0,λ.(24)

Since λn, nS, are the zeros of Δλ with the multiplicity mn, the Taylor series of Δλ at λn, nS, is p=mnΔp,nλ-λnp. If we plug it back to (Equation24) and let λ approaches λn, then ψn0=Mn+mn-1Δmn,n. The proof of(25) ψn+η0=ηk=0Mn+mn-k-1Δmn+η-k,n,nS,η=0,1,,mn-1(25)

follows in a similar manner. From (Equation18), we get ψnx=ψn0φnx, nS. Owing to (Equation14)–(Equation16), an easy induction gives(26) ψn+ηx=ηj=0ψn+j0φn+η-jx,nS,η=0,1,,mn-1.(26)

Moreover, since φx,λ, ψx,μ are solutions of equation (Equation1) and satisfy the discontinuity conditions (Equation3), from (Equation4), we know the function yx,zx is continuous on x[0,π], henceddxφx,λ,ψx,μ=λ-μφx,λψx,μ.

By the initial conditions (Equation5) and equality (Equation6), we obtainΔλ-Δμλ-μ=0πφx,λψx,μdx.

Hence ddλΔλ=0πφx,λψx,λdx. A simple manipulation leads to the solution thatΔmn+η,n=1mn+ηmn+η-1j=00πφmn+η-1-jx,λnψjx,λndx,η0.

Using (Equation14), (Equation15) and integrating by parts, we get(27) Δmn+η,n=0πφn+mn-1xψn+ηxdx,nS,η=0,1,,mn-1.(27)

By substituting (Equation26) in (Equation27) and taking the definition of generalized weight numbers αn (Equation17) into account, we obtain(28) Δmn+η,n=j=0ηαn+η-jψn+jx.(28)

Combining (Equation28) and (Equation25), we conclude thatj=0ηψn+η-j0jk=0αn+j-kMn+mn-k-1=ψn+η0.

Since ψn00, nS, continuing by induction we finally obtain the relation (Equation22).

5. The inverse problem

Inverse Problem 5.1:

Recovering the operator L from one of the following conditions: (i) the generalized spectral data λn,αnnN; (ii) the two spectra λnnN, λn0nN; (iii) the Weyl function Mλ.

Remark 1:

According to Lemma 2.3, we know the spectrum λnnN uniquely determines the characteristic function Δλ. Similarly, the characteristic function Δ0λ is uniquely determined by its zeros λn0nN. Combining (Equation20), (Equation21) and (Equation22), we see that the statements (i)–(iii) of Inverse Problems 5.1 are equivalent. The numbers λn,MnnN can also be used as spectral data.

5.1. The uniqueness theorem

Before giving the uniqueness theorem, we introduce some symbols initially. We agree that L, L~ denote the operators of the same form but with different coefficients q~x, h~, H~, β~, γ~, d~. That is to say if a certain symbol ξ represents an object related to L, then ξ~ will denote the analogous object related to L~, and ξ^:=ξ-ξ~.

Theorem 5.2:

[The uniqueness theorem]If λn=λ~n, αn=α~n, nN, then L=L~, i.e. qx=q~x a.e. on 0,π, h=h~, H=H~, β=β~, γ=γ~ and d=d~.

Proof Because of Theorem 4.1, we know the generalized spectral data λn,αnnN uniquely determines the Weyl function Mλ. It suffices to prove that if Mλ=M~λ, then L=L~. It follows from (Equation12), (Equation13) and (Equation18) that(29) Φjx,λCδρj-1exp-τx,j=0,1,λGδ.(29)

Define the matrix Px,λ=Pjkx,λj,k=1.2 by the following formulaPx,λφ~x,λΦ~x,λφ~x,λΦ~x,λ=φx,λΦx,λφx,λΦx,λ,

i.e.(30) φx,λ=P11x,λφ~x,λ+P12x,λφ~x,λ,Φx,λ=P11x,λΦ~x,λ+P12x,λΦ~x,λ.(30)

Formula (Equation19) yields(31) Pj,1x,λ=φj-1x,λΦ~x,λ-Φj-1x,λφ~x,λ,Pj,2x,λ=Φj-1x,λφ~x,λ-φj-1x,λΦ~x,λ.(31)

Combining (Equation18) and (Equation31), we see thatP11x,λ=φx,λS~x,λ-Sx,λφ~x,λ+M~λ-Mλφx,λφ~x,λ,P12x,λ=Sx,λφ~x,λ-φx,λS~x,λ+Mλ-M~λφx,λφ~x,λ.

Owing to (Equation18) and (Equation31), for each fixed x, the functions Pjkx,λ are meromorphic functions in λ. Put Gδ0=GδG~δ. According to (Equation11), (Equation29) and (Equation31), we obtain(32) P12x,λCδρ-1,P11x,λCδ,λGδ0.(32)

By (Equation18) and (Equation31), we see that if MλM~λ, then for each fixed x, the functions P1kx,λ are entire in λ. Combining with (Equation32), we derive P11x,λCx, P12x,λ0. Taking (Equation30) into consideration, we get(33) φx,λCxφ~x,λ(33)

for all x and λ. Together with (Equation7), we see that for ρ, argρ[ε,π-ε], ε>0,φx,λ=b2exp(-iρx)1+O1ρ,

where b=1 for x<d, and b=b1 for x>d. Combining (Equation19) and (Equation33) this yields b1=b~1, Cx1, i.e. φx,λφ~x,λ for all x and λ and consequently L=L~.

5.2. Solution of the inverse problem

Without loss of generality, we consider the inverse problem of recovering L from the generalized spectral data λn,αnnN. Like [Citation2, p.153 (60)], choose an arbitrary model boundary value problem L~=L~q~x,h~,H~,β~,γ~,d~ such that(34) d=d~,n=0ςnρn21/2<,n=0ςn<,(34)

where ςn:=ρn-ρ~n+αn-α~n. Set λn,0:=λn, λn,1:=λ~n, Mn,0:=Mn, Mn,1:=M~n, φn,ix:=φx,λn,i, φ~n,ix:=φ~x,λn,i, S0:=S, S1:=S~, mn,0:=mn, mn,1:=m~n,Dx,λ,μ:=φx,λ,φx,μλ-μ,Dη,νx,λ,μ:=1η!ν!η+νλημνDx,λ,μ.

For i,j=0,1, nSi, denoteAn+η,ix,λ:=p=ηmn,i-1Mn+p,iD0,p-ηx,λ,λn,i, Qn+η,i;k,jx:=1η!ηληAk,jx,λ|λ=λn,i,

where kN, η=0,1,,mn,i-1. Similarly, by replacing φ with φ~ in the above definitions, we define D~x,λ,μ, D~η,νx,λ,μ, A~n,ix,λ, Q~n,i;k,jx, kN, i,j=0,1. Using the fact that φx,λ,φx,μ is continuous on x[0,π], Dx,λ,μ, Dη,νx,λ,μ, An,ix,λ, Qn,i;k,jx, D~x,λ,μ, D~η,νx,λ,μ, A~n,ix,λ, Q~n,i;k,jx, kN, i,j=0,1 are continuous functions of x[0,π].

By the same methods as in [Citation2, p.153–156], using Lemmas 2.2, 2.3, (Equation4), (Equation17), (Equation22) and Schwarz’s lemma [Citation25, VI. §2.], we get the following estimates as n,kN, i,j=0,1:(35) φn,ixC,φn,0x-φn,1xCςn,Qn,i;k,jxCρn1-ρk1+1,Qn,i;k,0x-Qn,i;k,1xCςkρn1-ρk1+1,Qn,0;k,jx-Qn,1;k,jxCςnρn1-ρk1+1,Qn,0;k,0x-Qn,1;k,0x-Qn,0;k,1x+Qn,1;k,1xCςnςkρn1-ρk1+1,(35)

The similar estimates are also valid for φ~n,ix, Q~n,i;k,jx.

Lemma 5.3:

The following representations hold:(36) φ~n,ix=φn,ix+k=0Q~n,i;k,0xφk,0x-Q~n,i;k,1xφk,1x,nN,i,j=0,1,(36) (37) Q~n,i;k,jx-Qn,i;k,jx=l=0Q~n,i;l,0xQl,0;k,jx-Qn,i;l,1xQ~l,1;k,jx,n,kN,i,j=0,1,(37)

where the series converge absolutely and uniformly with respect to x[0,π].

Proof From (Equation34), we obtain d=d~ and β=β~, then by virtue of (Equation7), it yields(38) φjx,λ-φ~jx,λCρj-1expτx,j=0,1.(38)

In the same way, we derive that(39) ψjx,λ-ψ~jx,λCρj-1expτπ-x,j=0,1.(39)

Let Gδ0=GδG~δ, using (Equation9)–(Equation10), (Equation13), (Equation18) and (Equation39), we arrive at(40) Φjx,λ-Φ~jx,λCδρj-2exp-τx,j=0,1,λGδ0.(40)

Further, combining (Equation19) and (Equation31), we see that(41) P11x,λ=1+φx,λ-φ~x,λΦx,λ-Φx,λ-Φ~x,λφ~x,λ.(41)

It follows from (Equation11), (Equation12), (Equation29), (Equation31), (Equation38), (Equation40) and (Equation41) that(42) P11x,λ-1Cδρ-1,P12x,λCδρ-1,λGδ0.(42)

Analogously, we have(43) P22x,λ-1Cδρ-1,P21x,λCδ,λGδ0.(43)

Let real numbers a, b be a<minReλn,i, b>maxImλn,i, nN, i=0,1. Consider closed contour ΥN:=ΩN (with counterclockwise circuit) in the λ-plane, where ΩN:=λ:aReλRN2,Imλb. By the standard method (see [Citation27, p.46–70]), using (Equation18), (Equation30)–(Equation32), and Cauchy’s integral formula (see [Citation25, IV. §5.]), we obtain the identity(44) φ~x,λ=φx,λ+12πiΥNM^μD~x,λ,μφx,μdμ+εNx,λ,(44)

whereεNx,λ=12πiΥNφ~x,λP11x,μ-1+φ~x,λP12x,μλ-μdμ.

Using (Equation42), we acquirelimNηληεNx,λ=0,η0

uniformly respect to x[0,π] and λ on bounded sets. Similarly, we have the relation(45) D~x,λ,μ-Dx,λ,μ=12πiΥND~x,λ,ξM^ξDx,ξ,μdξ+εN1x,λ,μ,(45)

wherelimNη+jλημjεN1x,λ,μ=0,η,j0

uniformly with respect to x[0,π] and λ, μ on bounded sets. Calculating the integral in (Equation44) by the residue theorem (see [Citation25, V. §2.]), we have, in light of (Equation21),12πiΥNM^μD~x,λ,μφx,μdμ=k=0NA~k,0xφk,0x-A~k,1xφk,1x

for sufficiently large N. Passing to the limit in (Equation44) as N, we obtainφ~x,λ=φx,λ+k=0A~k,0xφk,0x-A~k,1xφk,1x.

Taking derivative to the both sides of this equation with respect to λ the corresponding number of times and substituting into λ=λn,i, we arrive at (Equation36). Analogously, using the same method on (Equation45), it yieldsD~x,λ,μ-Dx,λ,μ=p=01-1plSpη=0ml,p-1Dη,0x,λl,p,μA~l+η,px,λ,

and taking the definitions of Qn,i;k,jx, Q~n,i;k,jx into account we get (Equation37).

Note that there exists NN, such that for n>N, mn,0=mn,1=1. Moreover, an argument similar to the one used in [Citation21, Lemma 1.3.4] shows that the infinite seriesn=N+1Mn,0φ~n,0xφn,0x-Mn,1φ~n,1xφn,1x

andn=N+1ddxMn,0φ~n,0xφn,0x-Mn,1φ~n,1xφn,1x

converge absolutely and uniformly on [ 0, d] and [d,π], respectively. Therefore, l(x):=-2l0(x) is square integrable on [0,π], wherel0x:=nS0η=0mn,0-1p=ηmn,0-1Mn+p,0φ~n+p-η,0xφn+η,0x-nS1η=0mn,1-1p=ηmn,1-1Mn+p,1φ~n+p-η,1xφn+η,1x=nS0,nNη=0mn,0-1p=ηmn,0-1Mn+p,0φ~n+p-η,0xφn+η,0x-nS1,nNη=0mn,1-1p=ηmn,1-1Mn+p,1φ~n+p-η,1xφn+η,1x+n=N+1Mn,0φ~n,0xφn,0x-Mn,1φ~n,1xφn,1x.

Lemma 5.4:

The following relations holdqx=q~x+lx, γ=β-1-β3l0d-0+γ~, h=h~-l00,H=H~+l0π.

Proof The rigourous proof of this lemma is similar to [Citation21, Lemma 1.3.5], [Citation2, Lemma 5].

Remark 2:

For each fixed x[0,π], the relation (Equation36) can be considered as a system of linear equations with respect to φn,ix, nN, i=0,1. But the series in (Equation36) converge only ‘with brackets’, i.e. the terms in them cannot be dissociated. Therefore, it is inconvenient to use (Equation36) as a main equation of the inverse problem. Below we will transfer (Equation36) to a linear equation in the Banach space of bounded sequences.

Denote ω=u|u=n,i,nN,i=0,1. For each fixed x[0,π], we define the vectorϕx=ϕuxuω=ϕn,0xϕn,1xnN

by the formula(46) ϕn,0xϕn,1x=χn-χn01φn,0xφn,1x,(46) χn=ςn-1,ςn0,0,ςn=0.

We also define a block-matrixHx=Hu;vxu,vω=Hn,0;k,0xHn,0;k,1xHn,1;k,0xHn,1;k,1xn,kN,u=n,i,v=k,j

by the following formulaHn,0;k,0xHn,0;k,1xHn,1;k,0xHn,1;k,1x=χn-χn01Qn,0;k,0xQn,0;k,1xQn,1;k,0xQn,1;k,1xςk101.

Similarly we introduce ϕ~n,ix, ϕ~x and H~n,i;k,jx, H~x by replacing φn,ix by φ~n,ix, and Qn,i;k,jx by Q~n,i;k,jx. Using (Equation35), we get the estimates(47) ϕn,ixC,ϕ~n,ixC,Hn,i;k,jxCςkρn1-ρk1+1,H~n,i;k,jxCςkρn1-ρk1+1.(47)

Consider the Banach space B of bounded sequences a=[au]uω with the norm aB=supuωau. It follows from (Equation47) that for each fixed x[0,π] the operators I+H~x and I-Hx (here I is the identity operator), acting from B to B, are bounded, andHxBBCsupk=0ςkρn1-ρk1+1<,H~xBBCsupk=0ςkρn1-ρk1+1<.

Theorem 5.5:

For each fixed x[0,π], the main equation(48) ϕ~x=I+H~xϕx(48)

for the vector ϕxB is uniquely solvable in the Banach space B. Moreover, the operator I+H~x-1 is bounded in B.

Proof Rewriting (Equation36) in the formφ~n,0xφ~n,1x=φn,0xφn,1x+k=0Q~n,0;k,0x-Q~n,0;k,1xQ~n,1;k,0x-Q~n,1;k,1xφk,0xφk,1x,nN,

substituting here (Equation46) and taking into account our notations of Qn,i;k,jx and Q~n,i;k,jx, we arrive at(49) ϕ~n,ix=ϕn,ix+k,jH~n,i;k,jxϕk,jx,n,i,k,jω,(49)

which is equivalent to (Equation48) and the series in (Equation49) converges absolutely and uniformly for x[0,π]. Similarly, by the definitions of Hn,i;k,jx, H~n,i;k,jx, (Equation37) becomesH~n,i;k,jx-Hn,i;k,jx=l,pH~n,i;l,pxHl,p;k,jx,n,i,k,j,l,pω,

which is equivalent toI+H~xI-Hx=I.

Replacing L for L~, one gets analogouslyI-HxI+H~x=I.

Hence the operator I+H~x-1 exists, and it is bounded in B.

Equation (Equation48) is called the main equation of the inverse problem. Using the solution of the main equation one can construct the function q, the coefficients β, γ of the discontinuity conditions, and the coefficients h, H of the boundary conditions. Thus, we obtain the following algorithm for solving the inverse problem.

Additional information

Funding

This research was supported by the National Natural Science Foundation of China [grant number 11601372].

Notes

No potential conflict of interest was reported by the authors.

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