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R E S E A R C H

Open Access

Spectral asymptotics of self-adjoint fourth

order boundary value problems with

eigenvalue parameter dependent boundary

conditions

Manfred Möller

*

and Bertin Zinsou

*Correspondence:

[email protected] The John Knopfmacher Centre for Applicable Analysis and Number Theory, School of Mathematics, University of the Witwatersrand, Johannesburg, South Africa

Abstract

A regular fourth order differential equation with

λ

-dependent boundary conditions is considered. For four distinct cases with exactly one

λ

-independent boundary condition, the asymptotic eigenvalue distribution is presented.

MSC: 34L20; 34B07; 34B08; 34B09

Keywords: fourth order boundary value problems; self-adjoint; boundary

conditions; eigenvalue distribution; pure imaginary eigenvalues; spectral asymptotics

1 Introduction

Sturm-Liouville problems have attracted extensive attention due to their intrinsic mathe-matical challenges and their applications in physics and engineering. However, apart from classical Sturm-Liouville problems, also higher order ordinary linear differential equations occur in applications, with or without the eigenvalue parameter in the boundary condi-tions. Such problems are realized as operator polynomials, also called operator pencils. Some recent developments of higher order differential operators whose boundary condi-tions depend on the eigenvalue parameter, including spectral asymptotics and basis prop-erties, have been investigated in [–]. General characterizations of self-adjoint boundary conditions have been presented in [, ] for singular and (quasi-)regular problems. In all these cases, the minimal operator associated with annth order differential equation must be symmetric, see [, ] for necessary and sufficient conditions. A more general discussion on the spectra of fourth order differential operators can be found in [, ].

The generalized Regge problem is realized by a second order differential operator which depends quadratically on the eigenvalue parameter and which has eigenvalue parameter dependent boundary conditions, see []. The particular feature of this problem is that the coefficient operators of this pencil are self-adjoint, and it is shown in [] that this gives somea prioriknowledge about the location of the spectrum. In [] this approach has been extended to a fourth order differential equation describing small transversal vibrations of a homogeneous beam compressed or stretched by a forceg. Separation of variables leads to a fourth order boundary problem with eigenvalue parameter dependent boundary

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conditions, where the differential equation

y()–gy=λy

depends quadratically on the eigenvalue parameter. This problem is represented by a quadratic operator pencil, in a suitably chosen Hilbert space, whose coefficient opera-tors are self-adjoint. In [] we have investigated a class of boundary conditions for which necessary and sufficient conditions were obtained such that the associated operator pencil consists of self-adjoint operators, while in [] we have continued the work of [] in the direction of [] to derive eigenvalue asymptotics associated with boundary conditions which lead to self-adjoint operator representations. We have considered the particular case of boundary conditions which do not depend on the eigenvalue parameter at the left endpoint and depend on the eigenvalue parameter at the right endpoint.

In this paper, we extend the work of [] to a class of boundary conditions where exactly one of the left endpoint boundary conditions does not depend on the eigenvalue param-eter, while the remaining boundary conditions depend on the eigenvalue parameter.

We define the operator pencil in Section  and we discuss which boundary conditions are considered. In Section , the eigenvalue asymptotics for the caseg=  are derived. In Section , it is shown that the boundary value problems under consideration are Birkhoff regular, which implies that the eigenvalues for generalg are small perturbations of the eigenvalues forg= . Hence, in Section , the first four terms of the eigenvalue asymptotics are found and are compared to those obtained in [].

2 The quadratic operator pencilL

On the interval [,a], we consider the boundary value problem

y()–gy=λy, (.)

Bj(λ)y= , j= , , , , (.)

wherea> ,gC[,a] is a real valued function and (.) are separated boundary condi-tions where theBj(λ) are constant or depend onλlinearly. The boundary conditions (.)

are taken at the endpoint  forj= ,  and at the endpointaforj= , . Further, we assume for simplicity that eitherBj(λ)y=y[pj](aj) +iεjαλy[qj](aj) orBj(λ)y=y[pj](aj), whereaj= 

forj= , ,aj=aforj= , ,α>  and εj∈ {–, }. We recall that the quasi-derivatives

associated with (.) are given by

y[]=y, y[]=y, y[]=y, y[]=y()–gy, y[]=y()–gy,

see [, p.]. Define

=

s∈ {, , , }:Bs(λ) depends onλ

, ={, , , }\,

=∩ {, }, a=∩ {, }.

Assumption . The numbers p,p,qjfor j are distinct as well as the numbers p,

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We denote byUthe collection of the boundary conditions (.) and define the following operators related toU:

Uy=

y[pj](a

j)

j and Uy=

εjy[qj](aj)

j, yW

(,a). (.)

We putk=||and consider the linear operatorsA(U),KandMin the spaceL(,a)⊕Ck with domains

DA(U)=

y=

y Uy

:yW(,a),y[pj](a

j) =  forj

,

D(K) =D(M) =L(,a)⊕Ck,

given by

A(U)y=

y[] Uy

fory∈DA(U), K=

 

I and M=

I

  .

It is easy to check thatK≥,M≥,M+K=IandM|D(A(U))> . We associate a quadratic operator pencil

L(λ,α) =λMiαλKA(U), λ∈C (.)

in the spaceL(,a)⊕Ckwith the problem (.), (.).

The conditions under which the differential operatorA(U) is self-adjoint are given in

Theorem . ([], Theorem .) Denote by Pthe set of p in y[p]() =  for the λ

-independent boundary conditions and by Pathe corresponding set for y[p](a) = .Then the differential operator A(U)associated with this boundary value problem is self-adjoint if and only if p+q= for all boundary conditions of the form y[p](a

j) +iαεjλy[q](aj) = and

εj= if q is even in case aj= or odd in case aj=a,εj= –otherwise,{, } ⊂P,{, } ⊂P, {, } ⊂Paand{, } ⊂Pa.

Proposition . The operator pencil L(·,α)is a Fredholm valued operator function with index.The spectrum of the Fredholm operator L(·,α)consists of discrete eigenvalues of finite multiplicities,and all eigenvalues of L(·,α),α≥,lie in the closed upper half-plane and on the imaginary axis and are symmetric with respect to the imaginary axis.

Proof As in [, Section ], we can argue that for allλ∈C,L(λ,α) is a relatively com-pact perturbation ofL(, ), whereL(, ) is well known to be a Fredholm operator. The statement on the location of the spectrum now follows as in [, Lemma .].

We now consider the particular cases that exactly one of the boundary conditions at  depends onλ, whereas both boundary conditions atadepend onλ. Therefore, taking Assumption . and Theorem . into account, we have the four boundary conditions

y[p]() = , y[p]() +iαε

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y[p](a) +iαελy[q](a) = , y[p](a) +iαελy[q](a) = ,

where ≤p≤, ≤p≤, ≤q≤,p+q= , andp∈ {/ q,p}, while{p,q}={, } and{p,q}={, }. Thus, we have  and  possible sets of boundary conditions at the end-point  anda, respectively. Whence there are  different sets of boundary conditions. Re-call that the parameterλemanates from derivatives with respect to the time variable in the original partial differential equation, and it is reasonable that the highest space derivative occurs in the term without time derivative. Thus, the most relevant boundary conditions would haveq<p,q<p andq<p. This leaves us with four different cases for the boundary conditionsBj(λ)y= .

These four cases are uniquely determined by the value ofp, so that we will consider Case :p= ; Case :p= ; Case :p= ; Case :p= .

The corresponding boundary operators are then

By=y[]() (Case ), By=y() (Case ),

By=y() (Case ), By=y() (Case ),

(.)

B(λ)y=y() –iαλy() (Cases  and ),

B(λ)y=y[]() +iαλy() (Cases  and ),

(.)

B(λ)y=y(a) +iαλy(a), (.)

B(λ)y=y[](a) –iαλy(a). (.)

3 Asymptotics of eigenvalues forg= 0

In this section, we consider the boundary value problem (.), (.) withg= . We count all eigenvalues with their proper multiplicities and develop a formula for the asymptotic distribution of the eigenvalues, which is used to obtain the corresponding formula for generalg. Observe that forg = , the quasi-derivativesy[j] coincide with the standard derivativesy(j). We take the canonical fundamental systemy

j(·,λ),j= , . . . , , of (.) with y(jm)() =δj,m+ifj≥ form= , . . . , . It is well known that the functionsyj(·,λ) are analytic

onCwith respect toλ. Putting

M(λ) =Bi(λ)yj(·,λ)

i,j=,

the eigenvalues of the boundary value problem (.), (.) are the eigenvalues of the ana-lytic matrix functionM, where the corresponding geometric and algebraic multiplicities coincide, see [, Theorem ..].

Settingλ=μand

y(x,μ) = 

μsinh(μx) – 

μsin(μx)

it is easy to see that

yj(x,λ) =y(–j)(x,μ), j= , . . . , .

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In Cases  and ,B(λ)y(·,λ) = –iαμandB(λ)y(·,λ) = ; In Cases  and ,B(λ)y(·,λ) =iαμandB(λ)y(·,λ) = .

Since the first row ofM(λ) has exactly one entry  and all other entries zero, an expansion ofM(λ) with respect to the second row shows thatdetM(λ) =±φ(μ), where

φ(μ) =iαμdet

B(μ)()(·,μ) B(μ)()(·,μ)

B(μ)()(·,μ) B(μ)()(·,μ)

+det

B(μ)()(·,μ) B(μ)()(·,μ)

B(μ)()(·,μ) B(μ)()(·,μ) ,

with

σ(),σ(),σ(),σ()= ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

(, , , ) in Case ,

(, , , ) in Case ,

(, , , ) in Case ,

(, , , ) in Case .

In view of (.), (.) this gives

φ(μ) =iαμ()(a,μ) +iαμ()(a,μ)

y()σ()(a,μ) –iαμ()(a,μ)

()(a,μ) +iαμ()(a,μ)

y()σ()(a,μ) –iαμ()(a,μ)

+()(a,μ) +iαμ()(a,μ)

y()σ()(a,μ) –iαμ()(a,μ)

()(a,μ) +iαμ()(a,μ)

y()σ()(a,μ) –iαμ()(a,μ)

=iαμiαμ()(a,μ)y ()

σ()(a,μ) –y

σ()(a,μ)y ()

σ()(a,μ)

+()(a,μ)()(a,μ) –()(a,μ)()(a,μ)

+αμ()(a,μ)()(a,μ) –()(a,μ)()(a,μ)

+()(a,μ)y ()

σ()(a,μ) –()(a,μ)y ()

σ()(a,μ)

+iαμ()(a,μ)y ()

σ()(a,μ) –()(a,μ)y ()

σ()(a,μ)

+()(a,μ)()(a,μ) –()(a,μ)()(a,μ)

+αμ()(a,μ)()(a,μ) –()(a,μ)()(a,μ)

+yσ()(a,μ)y()σ()(a,μ) –yσ()(a,μ)y()σ()(a,μ).

Each of the summands inφis a product of a power inμand a product of two sums of a trigonometric and a hyperbolic functions. The terms with the highestμ-powers inφ(μ) are non-zero constant multiples of

φ(μ) = ⎧ ⎨ ⎩

μ(yσ()(a,μ)y()σ()(a,μ) –yσ()(a,μ)y()σ()(a,μ)) in Cases , ,

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For the above four cases, we obtain:

Case : φ(μ) =  μ

sinh(μa) –sin(μa)sinh(μa) +sin(μa)

= –μsin(μa)sinh(μa).

Case : φ(μ) =  μ

sinh(μa) +sin(μa)cosh(μa) +cos(μa)

–sinh(μa) –sin(μa)cosh(μa) –cos(μa)

=μsinh(μa)cos(μa) +cosh(μa)sin(μa).

Case : φ(μ) =  μ

sinh(μa) –sin(μa)sinh(μa) +sin(μa)

= –μsin(μa)sinh(μa).

Case : φ(μ) =  μ

sinh(μa) –sin(μa)cosh(μa) –cos(μa)

–sinh(μa) +sin(μa)cosh(μa) +cos(μa)

= –μsinh(μa)cos(μa) +cosh(μa)sin(μa).

We next give the asymptotic distributions of the zeros ofφ(μ) with proper counting.

Lemma .

Case :φhas a zero of multiplicityat,simple zeros at

˜

μk= (k– )

π

a, k= , , . . . ,

simple zeros atμ˜k,μ˜–k=˜kand˜kfor k= , , . . . ,and no other zeros.

Case :φhas a zero of multiplicityat,exactly one simple zeroμ˜kin each interval

((k– )

π a, (k+

 )

π

a)for positive integers k with asymptotics

˜

μk= (k– )

π

a+o(), k= , , . . . ,

simple zeros atμ˜k,μ˜–k=˜kand˜kfor k= , , . . . ,and no other zeros.

Case :φhas a zero of multiplicityat,simple zeros at

˜

μk= (k– )

π

a, k= , , . . . ,

simple zeros atμ˜k,μ˜–k=˜kand˜kfor k= , , . . . ,and no other zeros.

Case :φhas a zero of multiplicityat,exactly one simple zeroμ˜k in each interval

((k–)πa, (k+)πa)for positive integers k with asymptotics

˜

μk= (k– )

π

a+o(), k= , , . . . ,

simple zeros atμ˜k,μ–˜ k=˜kand˜kfor k= , , . . . ,and no other zeros.

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The choice of the indexing for the non-zero zeros ofφin each case will become apparent later.

It, therefore, remains to describe the behavior of the non-zero zeros ofφin Case . First, we are going to find the zeros ofφon the positive real axis. One can observe that forμ= ,φ(μ) =  impliescosh(μa)=  andcos(μa)= , whence the positive zeros ofφ are thoseμ>  for whichtan(μa)+tanh(μa) = . Sincetan(μa)≥ andtanh(μa) >  for all

x∈Rwhere the functions are defined, the functionμ→tan(μa) +tanh(μa) is increasing with a positive derivative on each interval ((k)πa, (k+)πa),k∈Z. On each of these intervals, the function moves from –∞to∞, thus we have exactly one simple zeroμ˜kof tan(μa) +tanh(μa) in each interval ((k)πa, (k+)πa), wherekis a positive integer, and no zero in (,πa). Sincetanh(μa)→ asμ→ ∞, we have

˜

μk= (k– )

π

a+o(), k= , , . . . .

The location of the zeros on the other three half-axes follows by repeated application of φ() = –φ(μ).

The proof will be complete if we show that all zeros ofφlie on the real or the imaginary axis. To this end, we observe that the product-to-sum formula for trigonometric functions gives

φ(μ) =μ

cosh(μa)sin(μa) +sinh(μa)cos(μa)

=  μ

sin( +i)μa+sin( –i)μa

isin( +i)μa+isin( –i)μa

=  μ

( –i)sin( +i)μa+ ( +i)sin( –i)μa. (.)

Putting ( +i)μa=x+iy,x,y∈R, it follows forμ=  that

φ(μ) =  ⇒ sin

( +i)μa=sin( –i)μa

⇔ sin(x+iy)=sin(yix) ⇔ coshy–cosx=coshx–cosy

⇔ cosh|y|+cos|y|=cosh|x|+cos|x|. (.)

Sincecoshx+cosx=

cosh(x) + 

cos(x) +  has a positive derivative on (,∞), this function is strictly increasing, andφ(μ) =  therefore, implies by (.) that|y|=|x|and thusyx. Then

μ= x+iy ( +i)a=

±i

 +i x a

is either real or pure imaginary.

Proposition . For g= ,there exists a positive integer ksuch that the eigenvaluesλˆk, counted with multiplicity,of the problem(.), (.)-(.),where k∈Z\{}in Casesand

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pure imaginary for|k|<k,andλˆ–k= –λˆkfor kk.For k> ,we can writeλˆk=μˆk,where theμˆkhave the following asymptotic representation as k→ ∞:

Case : μˆk= (k– )

π

a +o().

Case : μˆk= (k– )

πa+o().

Case : μˆk= (k– )

π

a +o().

Case : μˆk= (k– )

πa+o().

In particular,the number of pure imaginary eigenvalues is even in Casesandand odd in Casesand.

Proof Case : A straightforward calculation gives

φ(μ) = – i

α+αμcosh(μa)sin(μa) –sinh(μa)cos(μa)

– iαμ

sinh(μa)cos(μa) +cosh(μa)sin(μa)

– α

μcosh(μa)cos(μa) +   μ

cosh(μa)cos(μa) – 

αμsin(μa)sinh(μa). (.)

Up to the constant factor , the second term equalsφ(μ). It follows that forμoutside the zeros ofφ,cos(·a) andcosh(·a), we have

φ(μ) =

φ(μ) –iαφ(μ)

iαφ(μ)

=α– 

iαμ

cosh(μa)cos(μa)

tan(μa) +tanh(μa)

+α+ 

iαμ

tan(μa) +tanh(μa)+ α

tan(μa)tanh(μa)

tan(μa) +tanh(μa)

+( +α)

μ

 –  tanh(μa)

tan(μa) +tanh(μa)

. (.)

Fixε∈(,πa) and fork= , , . . . letRk,εbe the squares determined by the vertices (k

)πa±ε±,k∈Z. These squares do not intersect due toε<πa. Sincetanz= – if and only ifz=πandj∈Z, it follows from the periodicity oftanthat the number

C(ε) = mintan(μa) + :μRk,ε

is positive and independent of ε. Since tanh(μa)→ uniformly in the strip{μ∈C:

Reμ≥,|Imμ| ≤πa}as|μ| → ∞, there is an integerk(ε) such that

tan(μa) +tanh(μa)≥C(ε) for allμRk,εwithk>k(ε).

By periodicity, there are numbersC(ε) >  andC(ε) >  such that|tan(μa)|<C(ε) and |cos(μa)|>C(ε) for allμRk,εand allk. Observing|cosh(μa)| ≥ |sinh((Reμ)a)|, it

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estimate |φ(μ)|<  holds. Further, we may assume by Lemma . thatμ˜kis inside Rk,ε

fork>k(ε) and that no other zero ofφhas this property. Hence, it follows by Rouché’s theorem that there is exactly one (simple) zeroμˆkofφin eachRkforkk(ε). Replacing μwithonly changes the sign of the second term in (.) and thus the sign ofφ. Hence, the same estimates apply to corresponding squares along the other three half-axes, and we therefore have thatφhas zeros± ˆμk,± ˆμkfork>k(ε) with the same asymptotic behavior as the zeros± ˜μk˜kofφas discussed in Lemma ..

Next, we are going to estimateφon the squaresSk,k∈N, whose vertices are±a±ikπa.

Fork∈Zandγ ∈R,

tan

a +

a

=tan(iγa) =itanh(γa)∈iR. (.)

Therefore, we have forμ=kaπ +, wherek∈Zandγ ∈R, that

tan(μa)<  and tan(μa)±≥. (.)

Forμ=x+iy,x,y∈Randx= , we have

tanh(μa) =e

(ax+iay)e–(ax+iay)

e(ax+iay)+e–(ax+iay) → ±

uniformly inyasx→ ±∞. Hence, there existskˆ∈Nsuch that for allk∈Z,|k| ≥ ˆkand γ ∈R,

tanh

a +

a

–sgn(k)<

. (.)

It follows from (.) and (.) forμ=

a +,k∈Z,|k| ≥ ˆkandγ ∈Rthat

tan(μa) +tanh(μa)≥ 

. (.)

Furthermore, we are going to make use of the estimates

cosh

a +

a≥sinh(), (.)

cos

a +

a=cosh(γa)≥, (.)

which hold for allk∈Zwith|k| ≥ ˆkand allγ ∈R. Therefore, it follows from (.), (.)-(.) and the corresponding estimates withμreplaced bythat there iskˆ such that |φ(μ)|<  for allμSkwithk>kˆ. Again from the definition ofφin (.) and Rouché’s theorem, we conclude that the functionsφandφhave the same number of zeros in the squareSk, fork∈Nwithk≥ ˆk.

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ˆ

λk=μˆkaccount for all eigenvalues of the problem (.)-(.) since each of these

eigenval-ues gives rise to two zeros ofφ, counted with multiplicity. By Proposition ., all eigenval-ues with non-zero real part occur in pairsλˆk, –λˆk, which shows that we can index all such

eigenvalues asλˆ–k= –λˆk. Since there is an odd number of remaining indices, the number

of pure imaginary eigenvalues must be odd. Case : The functionφin this case is

φ(μ) = – 

α+ μcosh(μa)sin(μa) –sinh(μa)cos(μa)

– α

μsinh(μa)cos(μa) +cosh(μa)sin(μa)

+ iαμ

cosh(μa)cos(μa) + + ia

μcosh(μa)cos(μa) – 

+iαμsin(μa)sinh(μa).

Then all the estimates are as in Case , and the result in Case  immediately follows from that in Case  if we observe that eachSkforklarge enough contains two fewer zeros ofφ

than in Case .

Case : A straightforward calculation gives

φ(μ) =αμsin(μa)sinh(μa) –  

 + αμcos(μa)cosh(μa)

– i

α+αμsin(μa)cosh(μa) +cos(μa)sinh(μa)

– iαμ

sin(μa)cosh(μa) –cos(μa)sinh(μa)+ 

 –αμ.

Then

φ(μ) =

φ(μ) +αφ(μ) φ(μ)

= + α

μ cot(μa)coth(μa) +

(α+α)i

μ

coth(μa) +cot(μa)

+ μ

coth(μa) –cot(μa)– –α

μ

sin(μa)sinh(μa).

The result follows with reasonings and estimates as in the proof of Case , replacingμby μ±π andμ±, respectively.

Case : The functionφin this case is

φ(μ) = –iαμsin(μa)sinh(μa) + i

α+αμcos(μa)cosh(μa)

– 

α+ μsin(μa)cosh(μa) +cos(μa)sinh(μa)

– α

μsin(μa)cosh(μa) –cos(μa)sinh(μa)+ i

ααμ,

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4 Birkhoff regularity

We refer to [, Definition ..] for the definition of the Birkhoff regularity.

Proposition . The boundary value problem(.), (.)-(.)is Birkhoff regular forα> 

with respect to the eigenvalue parameterμgiven byλ=μ.

Proof The characteristic function of (.) as defined in [, (..)] isπ(ρ) =ρ– , and its zeros areik–,k= , . . . , . We can choose

C(x,μ) =diag,μ,μ,μi(k–)(j–)k,j=

according to [, Theorem ...A]. The boundary condition (.)-(.) can be written in the form

Bj(λ)y=Bˆj(μ)

y(aj),y(aj),y(aj),y()(aj)

, j= , , , ,

where

ˆ

B(μ) = ⎧ ⎨ ⎩

(, –g(), , ) in Case ,

εT

r– in Casesr= , , ,

ˆ

B(μ) = ⎧ ⎨ ⎩

(, –iαμ, , ) in Cases  and ,

(–iαμ, –g(), , ) in Cases  and ,

ˆ

B(μ) =

,iαμ, , , ˆ

B(μ) =

iαμ, –g(a), , ,

and whereεν denotes theνth unit vector inC. Thus the boundary matrices defined in

[, (..)] are given by

W()(μ) = ⎛ ⎜ ⎜ ⎜ ⎝ ˆ B ˆ

B(μ)   ⎞ ⎟ ⎟ ⎟

C(,μ), W()(μ) = ⎛ ⎜ ⎜ ⎜ ⎝   ˆ

B(μ) ˆ

B(μ) ⎞ ⎟ ⎟ ⎟ ⎠C(a,μ).

Choosing C(μ) =diag(μp,μ,μ,μ), it follows that C(μ)–W(j)(μ) =W(j)+O(μ–), where

W()= ⎛ ⎜ ⎜ ⎜ ⎝

ir– i(r–) i(r–) θθθθ

        ⎞ ⎟ ⎟ ⎟ ⎠, W

()  = ⎛ ⎜ ⎜ ⎜ ⎝        

α α  –i – i

⎞ ⎟ ⎟ ⎟ ⎠,

for Caserandθj= –ijαfor Cases  and , whileθj= (–i)j–for Cases  and . The Birkhoff

matrices are

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wherej,j= , , ,  are the × diagonal matrices with  consecutive ones and 

con-secutive zeros in the diagonal in a cyclic arrangement, see [, Definition .. and Propo-sition ..]. It is easy to see that after a permutation of columns, the matrices (.) are block diagonal matrices consisting of × blocks taken from two consecutive columns (in the sense of cyclic arrangement) of the first two rows ofW()and the last two rows of

W(), respectively. Hence the determinants of the Birkhoff matrices (.) are

±i(j–)(r–) ij(r–) –ijαij+α

ij+α ij+α (–i)j+ (–i)j+

ij(r–)

 +i–rα= 

in Cases  and ,i.e.,r∈ {, }, whereas

±i(j–)(r–) ij(r–) (–i)(j–) (–i)j

ij+α ij+α (–i)j+ (–i)j+

ij(r–)

i–riα= ,

in Cases  and . Thus, the problem (.), (.)-(.) is Birkhoff regular.

5 Asymptotic expansions of eigenvalues

LetD, as a function ofμwithλ=μ, be the characteristic function of the problem (.), (.)-(.) with respect to the fundamental systemyj,j= , , , , withyj[m]() =δj,m+for

m= , , , , whereδis the Kronecker delta. Denote byDthe corresponding characteris-tic function forg= . Note that the characteristic functionsDandφconsidered in Sec-tion  have the same zeros counted with multiplicity. Due to the Birkhoff regularity,gonly influences lower order terms inD. Therefore, it can be inferred that outside the interior of the small squaresRk, –Rk,iRk, –iRkaround the zeros ofD,|D(μ) –D(μ)|<|D(μ)|if |μ|is sufficiently large. Since the fundamental systemyj,j= , , , , depends analytically

onμ, alsoDandDare analytic functions. Hence, applying Rouché’s theorem both to the large squaresSk and to the small squares which are sufficiently far away from the origin,

it follows that the eigenvalues of the boundary value problem for generalghave the same asymptotic distribution as forg= . Whence Proposition . leads to

Proposition . For gC[,a],there exists a positive integer ksuch that the

eigenval-ues λˆk,counted with multiplicity,of the problem (.), (.)-(.),where k∈Z\ {} in Casesandand k∈Zin Casesand, can be enumerated in such a way that the eigenvaluesλkare pure imaginary for|k|<k,andλk= –λkfor kk.For k> ,we can

writeλk=μk,where theμkhave the following asymptotic representation as k→ ∞:

Case : μk= (k– )

π

a +o().

Case : μk= (k– )

πa+o().

Case : μk= (k– )

π

a +o().

Case : μk= (k– )

πa+o().

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In the remainder of the section, we are going to establish more precise asymptotic ex-pansions of the eigenvalues. According to [, Theorem ..], (.) has an asymptotic fundamental system{η,η,η,η}of the form

η(νj)(x,μ) =δν,j(x,μ)ei ν–μx

; ν= , . . . , ;j= , . . . , ; (.)

where

δν,j(x,μ) =

dj dxj

r=

μiν––r

ϕr(x)ei ν–μx

e–μx+oμ–+j, (.)

and [dj

dxj] means that we omit those terms of the Leibniz expansion which contain a

func-tionϕr(k)withk>  –r. Since the coefficient ofy()in (.) is zero, we haveϕ(x) = , see [, (..)].

We will now determine the functionsϕandϕ. In this regard, observe thatn=  and

l=  in the notation of [, (..) and (..)], see [, Theorem ..]. From [, (..)], we know that

ϕr=ϕ,r=εTVQ[r]ε, (.)

whereενis theνth unit vector inC,V= (i(j–)(k–))j,k=, andQ[r]are × matrices given

by [, (..), (..) and (..)], that is,Q[]=I,

Q[]–Q[]=Q[]

= , (.)

Q[]–Q[]=Q[]

– gεε

T–

Q[], (.)

 =εTν

Q[]+ 

j=

k–jεεT––jQ[–j] εν (ν= , , , ), (.)

where k = –g, k = –g, =diag(,i, –, –i) andεT = (, , , ). Let G(x) = x

g(t)dt. A lengthy but straightforward calculation gives

ϕ=

G, ϕ=  G

g, (.)

and thus

ην(x,μ) =

 +

i

ν+G(x)μ–+ (–)ν–

 G(x)

 g(x)

μ–

eiν–μx

+–eiν–μx (.)

forν= , , , , where{o(·)}∞means that the estimate is uniform inx.

The characteristic function of (.), (.)-(.) is

D(μ) =detγjkexp(εjk)

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where

εk=εk= , εk=εk=ik–μa,

γk=

⎧ ⎨ ⎩

δk,(,μ) –g()δk,(,μ) in Case ,

δk,r–(,μ) in Casesrwithr= , , ,

γk=

⎧ ⎨ ⎩

δk,(,μ) –iαμδk,(,μ) in Cases  and ,

δk,(,μ) –g()δk,(,μ) +iαμδk,(,μ) in Cases  and ,

γk=δk,(a,μ) +iαμδk,(a,μ),

γk=δk,(a,μ) –g(a)δk,(a,μ) –iαμδk,(a,μ).

Note that

D(μ) = 

m=

ψm(μ)eωmμa, (.)

where ω=  +i, ω= – +i,ω= – –i,ω=  –i,ω= , and each of the functions ψ, . . . ,ψhas asymptotic representations of the formckμk+ck–μk–+· · ·+ckμk+o(μk).

It follows from (.) that

D(μ) :=D(μ)eωμa=ψ(μ) + 

m=

ψm(μ)e(ωmω)μa, (.)

whereω–ω= –,ω–ω= – – i,ω–ω= –i,ω–ω= – –i. Ifargμ∈[–π,π], we have|e(ωmω)μa| ≤e–sinπ|μ|a form= , ,  and the termsψ

m(μ)e(ωmω)μa form= , , 

can be absorbed byψ(μ) as they are of the formo(μs) for any integers. Hence, forargμ∈ [–π

 ,

π

],

D(μ) =ψ(μ) +ψ(μ)e(ω–ω)μa=ψ(μ) +ψ(μ)e–iμa, (.)

where

ψ(μ) = [γγ–γγ][γγ–γγ], (.)

ψ(μ) = [γγγγ][γγγγ]. (.)

A straightforward calculation gives

γγ–γγ= αμ+ ( –i)μ

 +α+ αϕ(a)

– α +ϕ(a)

+ +αϕ(a)

+, (.)

γγγγ= –αμ+ ( +i)μ +α– αϕ(a)

– α +ϕ(a)

– +αϕ(a)

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For the other two factors in (.) and (.), we have to consider the four different cases.

Case : γγ–γγ= αμ+ ( –i)μ+o

μ,

γγ–γγ= αμ– ( +i)μ+o

μ.

Therefore,

ψ(μ) = αμ+ ( –i)α

α+αG(a) + μ

i

 α

G(a) +αα+ G(a) +  + αμ+oμ, (.)

ψ(μ) = –αμ+ ( +i)α

α–αG(a) + μ

i

 α

G(a) –αα+ G(a) +  + αμ+oμ. (.)

Case : γγ–γγ= –( +i)αμ– μ+ 

( –i)αg()μ+o(μ),

γγ–γγ= –( –i)αμ+ μ+ 

( +i)αg()μ+o(μ).

Thus, we have

ψ(μ) = –( +i)αμ–

αG(a) + α+αμ

– ( –i)μ

 α

G(a) +α+ αG(a)

αg() + α+ +, (.)

ψ(μ) = ( –i)αμ+

αG(a) – α+αμ

+ ( +i)μ

 α

G(a) –α+ αG(a)

αg() + α+ +. (.)

Case : γγ–γγ= –– ( +i)αμ+o

μ,

γγ–γγ= –– ( –i)αμ+o

μ.

Hence, we get

ψ(μ) = –iαμ– ( +i)

α+αG(a) + μ

 αG

(a) +α+ G(a) + α+ α

μ+, (.)

ψ(μ) = iαμ+ ( –i)

α–αG(a) + μ

 αG

(a) –α+ G(a) + α+ α

μ+. (.)

Case : γγ–γγ= –( –i)μ+ iαμ+ 

( +i)g()μ

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γγ–γγ= ( +i)μ– iαμ– 

( –i)g()μ

+oμ.

Thus, we have

ψ(μ) = –( –i)αμ+i

αG(a) + α+ μ

+ ( +i)

 αG

(a) + 

α+ G(a)

+

αg() + α+ α

μ+, (.)

ψ(μ) = –( +i)αμ–i

αG(a) – α– μ

+ ( –i)

 αG

(a) –  

α+ G(a)

+

αg() + α+ α

μ+. (.)

We already know by Proposition . that the zerosμkofDsatisfy the asymptotic

repre-sentationsμk=a +τ+o() ask→ ∞. In order to improve on these asymptotic

repre-sentations, write

μk=k

π

a+τ(k), τ(k) = n

m=

τmkm+o

kn,k= , , . . . . (.)

Because of the symmetry of the eigenvalues, we will only need to find the asymptotic ex-pansions ask→ ∞. We knowτfrom Proposition ., and it is our aim to findτandτ. To this end, we will substitute (.) intoD(μk) =  and we will then compare the coefficients

ofk,k–andk–. Observe that

e–iμka=e–(k)a=e–aexp

–ia

τ

k +

τ

k +o

k–

=e–a

 – iaτ 

k

aτ+ iaτ 

k +o

k–, (.)

while

μk

= a πk

 +(k)

–

= a

aτ

kπ +o

k–. (.)

Using (.),D(μk) =  can be written as

μkγψ(μk) +μkγψ(μk)e–iτka= , (.)

whereγ is the highestμ-power inψ(μ) andψ(μ). Substituting (.) and (.) into (.) and comparing the coefficients ofk,k–andk–, we get

Theorem . For gC[,a],there exists a positive integer k

(17)

eigenvaluesλkare pure imaginary for|k|<k,andλk= –λkfor kk,whereλk=μkand theμkhave the asymptotic representations

μk=k

π

a+τ+

τ

k +

τ

k +o

k–

and the numbersτ,τ,τare as follows:

Case : τ= – π

a , τ= i

  +α

π α +  

G(a) π ,

τ=

( +α)i

π α

a( – α+α) πα +

 

G(a) π .

Case : τ= – π

a, τ= i

  +α

π α +  

G(a) π ,

τ= i

  +α

π α

a

 – α+ααπ –

a

g() π +

 

G(a) π .

Case : τ= – π

a, τ= i

  + α

π α +  

G(a) π ,

τ=

i( + α) π α

a( – α+ α) πα +

 

G(a) π .

Case : τ= – π

a, τ= i

 α+ 

π α +  

G(a) π ,

τ=  

G(a)

π +

 

ag() π +

i

 α+ 

απ

a

α– α+  απ .

In particular,the number of pure imaginary eigenvalues is even in Casesandand odd in Casesand.

Remark . In [] we have considered the differential equation (.) with the same boundary conditionsB,Bataas in this paper but withλ-independent boundary con-ditions at , that is, the boundary concon-ditionsBalso occur in []. Whereas in [] the number of pure imaginary eigenvalues is odd in each case, this number is even in Cases  and  of this paper. We observe that in Cases  and , theλ-dependent part is the ‘dominat-ing’ part of the boundary conditionB, in the sense that it has the highestμ-power arising asμj+kfromλjy[k], whereas in Cases  and  theλ-independent part is dominating. It may be interesting to investigate if, in general, the parity of the number of pure imaginary eigenvalues can be determined by the number of dominating λ-dependent parts in the boundary conditions.

We can observe that the functionsφin the Cases  and  are respectively the same as in [] since the corresponding dominating terms in the boundary conditions coincide. However, the numbersτandτdiffer from those of [] in each case, which is due to the λ-term in the boundary conditionB.

Competing interests

The authors do not have any competing interests.

Authors’ contributions

(18)

Acknowledgements

This research was partially supported by a grant from the NRF of South Africa, Grant number 69659. Various of the above calculations have been verified with Sage.

Received: 8 May 2012 Accepted: 17 September 2012 Published: 4 October 2012

References

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3. Marletta, M, Shkalikov, A, Tretter, C: Pencils of differential operators containing the eigenvalue parameter in the boundary conditions. Proc. R. Soc. Edinb., Sect. A, Math.133, 893-917 (2003)

4. Shkalikov, AA: Boundary problems for ordinary differential equations with parameter in the boundary conditions (Russian). Tr. Semin. Im. I.G. Petrovskogo9, 190-229 (1983), translation in J. Sov. Math.33, 1311-1342 (1986) 5. Wang, A, Sun, J, Zettl, A: The classification of self-adjoint boundary conditions: separated, coupled, and mixed.

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6. Wang, A, Sun, J, Zettl, A: Characterization of domains of self-adjoint ordinary differential operators. J. Differ. Equ.246, 1600-1622 (2009)

7. Möller, M, Zettl, A: Symmetric differential operators and their Friedrichs extension. J. Differ. Equ.115, 50-69 (1995) 8. Weidmann, J: Spectral Theory of Ordinary Differential Operators. Lect. Notes Math., vol. 1258. Springer, Berlin (1987) 9. Behncke, H: Spectral analysis of fourth order differential operators. I. Math. Nachr.279, 58-72 (2006)

10. Behncke, H: Spectral analysis of fourth order differential operators. II. Math. Nachr.279, 73-85 (2006) 11. Pivovarchik, V, van der Mee, C: The inverse generalized Regge problem. Inverse Probl.17, 1831-1845 (2001) 12. Möller, M, Pivovarchik, V: Spectral properties of a fourth order differential equation. J. Anal. Appl.25, 341-366 (2006) 13. Möller, M, Zinsou, B: Self-adjoint fourth order differential operators with eigenvalue parameter dependent boundary

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