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www.elsevier.com/locate/jde

Solutions of nonlinear Dirac equations

Thomas Bartsch

a,∗,1

, Yanheng Ding

b,2

aMathematisches Institut, Universität Giessen, Arndtstr. 2, 35392 Giessen, Germany

bInstitute of Mathematics, AMSS, Chinese Academy of Sciences, Zhongguancun, 100080 Beijing, PR China

Received 17 February 2005; revised 18 August 2005 Available online 2 November 2005

Abstract

We study the Dirac equation:

i∂tψ=ich¯ 3

k=1

αk∂kψmc2βψ+ ∇ψG(x, ψ ),

and obtain existence and multiplicity results of stationary solutions for several classes of nonlinear-itiesG:R3×C4→Rmodeling various types of interaction. A typical result states that ifG(x, u)

depends periodically onxand is even inu, the problem has infinitely many geometrically different localized solutions. The arguments are variational. The associated Lagrangian functional is strongly indefinite and the Palais–Smale condition does not hold. We apply some recently developed critical point theorems.

©2005 Elsevier Inc. All rights reserved.

MSC:35Q40; 49J35

Keywords:Nonlinear Dirac equations; Variational methods; Strongly indefinite functionals

* Corresponding author.

E-mail address:[email protected] (T. Bartsch).

1 Supported by DFG grant 446 CHV 113/170/0-1.

2 Supported by the “973” projects of China and the Alexander von Humboldt-foundation.

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1. Introduction

We are concerned with the existence and multiplicity of stationary states for the nonlin-ear Dirac equation

i∂tψ=ich¯ 3

k=1

αk∂kψmc2βψ+ ∇ψG(x, ψ ), (1.1)

for the functionψ:R×R3→C4representing the wave function of the state of an electron. Herex=(x1, x2, x3)∈R3,∂k=∂/∂xk,G:R3×C4→R,cdenotes the speed of light, m >0 the mass of the electron,h¯ is Planck’s constant, andα1, α2, α3andβare the 4×4

complex matrices:

β=

I 0 0 −I

, αk=

0 σk σk 0

, k=1,2,3,

with

σ1=

0 1 1 0

, σ2=

0 −i i 0

, σ3=

1 0 0 −1

.

Such an equation has been widely used to build relativistic models of extended particles in relativistic quantum mechanics (cf. [7,13]). Assuming that G satisfies G(x, eiθψ )= G(x, ψ )for allθ∈R, we are looking for solutions of the formψ (t, x)=eihϑt¯ u(x). These are the stationary solutions of (1.1). The functionu:R3→C4has to solve

ich¯ 3

k=1

αk∂ku+mc2βu= ∇uG(x, u)− ¯h ϑ u. (1.2)

The solutions we find are localized in the senseu2q<W1,q(R3,C4). Dividing (1.2) byhc¯ , we are led to study

i 3

k=1

αk∂ku+aβu+ωu=Fu(x, u) (D)

wherea >0 andω∈R. In [18] one can find a discussion of functionsF which have been used to model various types of self-coupling. We shall always assume that Fu(x, u)= o(|u|)as|u| →0. In recent years a number of papers appeared dealing with the existence and multiplicity of stationary solutions. In [1,2,8,17] the so-called Soler model

F (u)=1

2H (uu),˜ HC

2(R,R), H (

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was investigated. In these papers the authors obtained forω(a,0)solutions of (D) of the type

u(x)=

v(r)1 0

iw(r)sincosθ eθiφ

. (1.4)

This ansatz leads to a system of ODEs forv(r), w(r),r= |x|, which can be solved using the shooting method. Of course, suitable hypotheses onHwere required, and the approach depends heavily on the special form ofF and the ansatz (1.4). Another model nonlinearity studied in [14,18] is

F (u)=1

2| ˜uu|

2+b| ˜uαu|2 whereuαu˜ :=(βu, αu)

C4, α:=α1α2α3

withb >0. In [12] variational methods are used for the Soler model (1.3) provided the main additional assumption

H(s)·sθ H (s) for alls∈R, someθ >1

holds. The authors obtain infinitely many solutions for the Soler model exploiting the inher-ent symmetryF (u)=F (u). They work on the spaceEsH1/2(R3,C4)of functions of the form (1.4) and perturb the functionF appropriately so that the perturbed varia-tional integral satisfies the Palais–Smale condition. Then they apply well-known variavaria-tional methods to the perturbed functional onEs. Solutions of (D) are obtained by carefully con-trolling the passage to the limit from the perturbed functionals to the unperturbed one.

The paper [12] also deals with more general nonlinearitiesF (u)where (1.3) does not hold and the ansatz (1.4) does not apply. The authors show the existence of one (nontrivial) solution providedFC2(C4,R)satisfies various growth and sign conditions. An example of such a general nonlinearity is the function

F (u)=μ|uu˜|τ1+b| ˜uαu|τ2, τ

1, τ2∈(1,3/2), μ, b >0.

Here one cannot work on the spaceEsand the Palais–Smale condition does not hold even for the perturbations, due to the invariance of(D)under translations. The idea of [12] is to produce a Palais–Smale sequence by a linking argument and then to use concentration compactness arguments in order to obtain a solution. [12] does not contain a multiplicity result in the general case. The problem here is that the solutions are not obtained as strong limits from the Palais–Smale sequence but only as weak limits (after suitable translations). Thus even when one has different linkings producing different Palais–Smale sequences it is not clear how to distinguish the weak limits.

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which excludes the Lorentz invariant nonlinearities mentioned above. ThereF (u) may vanish even for large values of|u|.

We obtain infinitely many solutions ifF is even, not only for superquadraticF but also in the asymptotically quadratic case. We only require|ω|< a, not −a < ω <0 as in the other papers. The multiplicity result has to be interpreted carefully. As a consequence of the periodicity ofF (x, u)inx1, x2, x3, given a solutionuany translateku=u(·+k),k∈Z3,

is also a solution. Thus there exists aZ3-orbit of solutions. The infinitely many solutions which we obtain correspond to differentZ3-orbits. Observe that, whenF is independent ofxthen one solutionugenerates a 3-dimensional manifold of solutionsyu=u(· +y),

y∈R3, consisting of infinitely manyZ3-orbits. In this case we do not obtain any additional solutions.

TheZ3-periodicity has another effect: the functional associated to the problem does not satisfy the Palais–Smale condition. In [9] a weaker version of the Palais–Smale condition was introduced for aZ-periodic problem; see also [20]. It was shown that this condition suffices to yield a deformation lemma. However, in these papers the functionals are of mountain pass type which is not the case here. In fact, our functional is strongly indefinite. In [3–5] we developed some critical point theory for strongly indefinite functionals satis-fying a weak version of the Palais–Smale condition closely related to the one from [9], adapted to the strongly indefinite case. This critical point theory can be used here.

The above mentioned results also apply to the more general equation

i 3

k=1

αk∂ku+

V (x)+aβu+ωu=Fu(x, u) (D)V

with a potentialV periodic in thexk-variables. We also have results if neitherV norF

are periodic provided there is some control onV (x)as|x| → ∞which excludes the case thatV is constant. Here we obtain infinitely many solutions even ifF is independent ofx. These results hold withh >¯ 0 being arbitrarily fixed in (1.1). Finally, we treat the singular limit caseh¯→0. For a certain class of potentialsV and nonlinearitiesF we can show that the number of stationary states becomes arbitrarily large ash¯→0.

The paper is organized as follows. In Section 2 we state the hypotheses and our main results. In Sections 3 and 4 we formulate the variational setting and provide basic estimates on the spectrum of the linearization. After collecting in Section 5 the abstract critical point theorems which we need, we prove our theorems for asymptotically quadraticF in Sec-tion 6, and for superquadraticF in Section 7. Finally, in Section 8 we consider the singular limith¯→0.

2. Main results

We consider the equation

i 3

k=1

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witha >0 and shall always assume

(ω) ω(a, a);

(F0) FC1(R3×C4,[0,));

(F1) F (x, u)is 1-periodic inxk,k=1,2,3.

This includes the case whereFC1(C4,[0,))does not depend onx. For our first results we also require

(F2) Fu(x, u)=o(|u|)asu→0 uniformly inx∈R3.

Concerning the behaviour ofF as|u| → ∞we begin with the asymptotically quadratic case. Setting

ω0:=min{a+ω, aω} and F (x, u)ˆ :=

1

2Fu(x, u)·uF (x, u),

we require:

(F3) There existsb > a+ωsuch that|Fu(x, u)bu| · |u|−1→0 as|u| → ∞uniformly inx.

(F4) F (x, u)ˆ 0, and there exists δ1(0, ω0) such that F (x, u)ˆ δ1 whenever

|Fu(x, u)|0−δ1)|u|.

Theorem 2.1.Let (ω)and (F0)–(F4)be satisfied. Then(D)has at least one nontrivial

solutionuτ2W1,τ(R3,C4).(D)has infinitely many geometrically distinct solutions

uτ2W1,τ(R3,C4)if in addition to the above assumptionsF is even inuand satisfies

(F5) FC2(R3×C4,[0,)), and there areν∈ [0,1),c1>0 such that|Fuu(x, u)| c1(1+ |u|ν).

Here two solutions u1 andu2 are said to be geometrically distinct ifku1 =u2 for

allk∈Z3 where(ku)(x)=u(x+k). As mentioned already in the introduction, ifF

does not depend onx then the infinitely many geometrically distinct solutions may all be translates of the formyuof one solutionuwithy∈R3.

Next we consider the superquadratic case where we assume:

(F6) F (x, u)|u|−2→ ∞as|u| → ∞uniformly inx.

(F7) F (x, u) >ˆ 0 ifu =0, and there areσ >3 andr, c2, c3>0 such that,

(i) F (x, u)ˆ c2|u|2if|u|r,

(ii) |Fu(x, u)|σc3F (x, u)ˆ |u|σ if|u|r.

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Theorem 2.2.Let(ω),(F0)–(F2)and(F6),(F7)be satisfied. Then(D)has at least one nontrivial solutionuτ2W1,τ(R3,C4). If moreoverF is even and satisfies(F5), then

(D)has infinitely many geometrically distinct solutionsuτ2W1,τ(R3,C4).

Now we consider equations with a Soler potential:

i 3

k=1

αk∂ku+(V (x)+a)βu+ωu=Fu(x, u). (D)V

We are interested in the influence of the potentialV:R3→Ron the existence of solutions. First we consider periodic potentials:

(V1) VC1(R3,[0,)), andV (x)is 1-periodic inxk fork=1,2,3.

The hypotheses(F3)and(F4)will be replaced by

(F3) There existsbC1(R3,R)with|Fu(x, u)b(x)u||u|−1→0 as|u| → ∞uniformly

inx, and infb(R3) >supV (R3)+a+ω.

(F4) F (x, u) >ˆ 0 ifu =0, and there areκ(0,2)andR >0 such thatF (x, u)ˆ c1|u|κ

if|u|R.

Theorem 2.3.Let(ω),(V1)and(F0)–(F2),(F3),(F4)be satisfied. Then(D)V has at least

one nontrivial solutionuτ2W1,τ(R3,C4). If in additionF is even and(F5)holds then(D)V has infinitely many geometrically distinct solutionsuτ2W1,τ(R3,C4).

Here are some examples where the assumptions apply.

Example 2.4.

(a) F (x, u)=1

2b(x)|u|

2

1− 1 ln(e+ |u|)

.

(b) F (x, u)=b(x)ϕ(12|u|2)whereϕ:[0,)→ [0,)is of classC2withϕ(0)=ϕ(0)=

0, andϕ(s)→1 ass→ ∞,ϕ(s)0.

(c) Fu(x, u)=f (x,|u|)u, wheref (x, s)is even ins;f (x, s)→0 ass→0 uniformly

inx;f (x, s)is nondecreasing fors∈ [0,); andf (x, s)b(x)ass→ ∞.

Theorem 2.5.Let(ω),(V1)and(F0)–(F2),(F6),(F7)be satisfied. Then(D)V has at least

one nontrivial solutionuτ2W1,τ(R3,C4). If (F5)also holds andF is even then (D)V has infinitely many geometrically distinct solutionsu

τ2W1,τ(R3,C4).

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Example 2.6.

(a) F (x, u)=a(x)

|u|2ln1+ |u|−1

2|u|

2+ |u| −

ln1+ |u|.

(b) F (x, u)=a(x)

|u|μ+−2)|u|μsin2

| u|

whereμ(2,3)and 0< < μ−2.

(c) (F6) and (F7) hold if there are q >2 and κ >3/2 such that 0< qF (x, u) Fu(x, u)·uifu =0, and|Fu(x, u)|κc1(1+Fu(x, u)·u).

Next we consider Soler potentials of the harmonic oscillator type:

(V2) VC1(R3,R); for eachb >0 the setVb:= {x∈R3:V (x)b}has finite Lebesgue

measure.

This hypothesis is satisfied ifV (x)→ ∞as|x| → ∞, for instance.

Theorem 2.7. Let (V2),(F0) and (F6), (F7)be satisfied. Then (D)V has at least one

nontrivial solutionuτ2W1,τ(R3,C4). If moreoverF is also even inu then(D)V

has infinitely many solutionsuτ2W1,τ(R3,C4).

Remark 2.8.In Theorem 2.7 we only considered superquadratic nonlinearities. With the methods developed in this paper it is easily possible to consider asymptotically quadratic nonlinearities, and to obtain multiple solutions if the asymptotic termb(x)is large enough. Observe that in Theorem 2.7 we do not make any restriction on the numberω, and we do not need assumptions like(F4)except forF being even. Moreover, the proof will show that in the even case there exists a sequence of solutions having the energy unbounded.

Finally, we study (1.1) in the the singular case 0<h¯ 1 with a nonlinearity of the form

Gh¯(x, u)= −1

2

q(x)+ ¯hbuu¯ +1 pf (x)|u|

p.

Dividing (1.1) bycand re-organizing the terms yields the equation

ih¯ 3

k=1

αk∂ku+

V (x)+ ¯haβu+ ¯hωu=g(x)|u|p−2u. (2.1)

Settingλ=1/h¯ andv=λ1/(p−2)u, we are led to study the equation

i 3

k=1

αk∂ku+

λV (x)+aβu+ωu=g(x)|u|p−2u (D

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(V3) VC1(R3,R),V 0, and (i) Ω:=intV−1(0) = ∅;

(ii) ∇VL∞ and there is b >0 such that the set Vb := {x ∈R3: V (x)2− |∇V (x)|b}has finite Lebesgue measure.

Theorem 2.9.Let(ω)and (V3)be satisfied, and assumep(2,3)and0<infg(R3)

supg(R3) <. Then, for eachk∈Nthere existsΛk 1 such that(D has at leastk

pairs of solutions inτ2W1,τ(R3,C4), providedλΛk.

3. Variational setting

We will denote by| · |p the usualLp norm forp∈ [1,∞]. ForVL2loc(R3,R)the

operatorA:= −i3k=1αk∂k+(V (x)+a)βis a selfadjoint operator inL2=L2(R3,C4)

(cf. [11]). It is unbounded from above and from below. In order to investigate the spectrum ofAwe consider

A2= −Δ+(V+a)2+i 3

k=1

βαk∂kV .

Letσ (S),σd(S),σe(S)andσc(S)denote, respectively, the spectrum, the discrete spectrum (i.e., the set of eigenvalues of finite multiplicity), the essential spectrum and the continuous spectrum of a self-adjoint operatorSonL2.

Lemma 3.1.

(a) IfV ≡0, thenσ (A2)= [a2,).

(b) If(V1)holds thenσ (A2)⊂ [a2,).

(c) If(V2)holds thenσ (A2)=σd(A2)= {μn: n∈N}with0μ1μ2μ3· · ·and

μn→ ∞.

Proof. (a) is obvious. (b) follows from the inequality

A2u, u

L2=

i

3

k=1

αk∂k+V β

u,i 3

k=1

αk∂k+V β

u

L2

+a2(u, u)L2+2a(V u, u)L2

a2(u, u)L2+2a(V u, u)L2. (3.1)

(c) Suppose(V2)holds and define

W (x):=V (x)+a2+i 3

k=1

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Then we have for anyb >0

Cb:=

x∈R3: sup

|ξ|=1

W (x)ξ,ξ¯C4< b

Vb.

SettingWb:=Wb,Wb+=max{0, Wb},Wb−=min{0, Wb}andSb= −Δ+(a2+b)+ Wb+ we haveA2=Sb+Wb−. Using CbVb it is easy to check thatWb− is compact

relative toSb(cf. [6]). Hence, by a theorem of Weyl

σe

A2=σe(Sb)σ (Sb)

a2+b,.

Sinceb >0 is arbitrary it follows thatσ (A2)=σd(A2). Finally, sinceA2is unbounded from above,μn→ ∞. 2

The domainD=D(A)ofAis a Hilbert space with inner product

(u, v)D=(Au, Av)L2+(u, v)L2.

Lemma 3.2.

(a) If(V1)is satisfied, thenD=H1(R3,C4)with equivalent norms.

(b) If(V2)is satisfied, thenDembeds continuously intoH1(R3,C4)and compactly into Lτ(R3,C4)for allτ∈ [2,6).

Proof. (a) is clear. For (b) it suffices to proveDL2(R3,C4)compactly. Let(en)n∈Nbe

an orthonormal basis of eigenfunctions ofA2associated to the eigenvaluesμn,n∈N, and

setLk=span{e1, . . . , ek}. LetPk:DLk denote the orthogonal projection. Consider a

weakly converging sequenceun uinD, and definewn=unuandC:=supnwn2D.

Givenε >0 we choosek∈Nso thatC/μk< ε/2. SincePkwn→0 asn→ ∞there exists n0∈Nso thatPkwn2D< ε/2 fornn0. Therefore we have

|wn|22= |Pkwn|22+(I−Pk)wn 2 2<

ε

2+

ε

2 =ε

fornn0. This proves thatunuinL2. 2

Now we consider the operatorA. Let(Eγ)γ∈Rand(Fγ)γ0denote the spectral families

ofAandA2, respectively. Recall that

=1/2−Eγ1/20=E[−γ1/21/2] for allγ0; (3.2)

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Lemma 3.3.

(a) IfV ≡0thenσ (A)=(−∞,a] ∪ [a,).

(b) If (V1) holds, then σ (A)=σc(A)(−∞,a] ∪ [a,) and infσ (|A|)a +

supV (R3).

(c) If(V2)holds thenσ (A)=σd(A)= {±μ1/2n : n∈N}.

Proof. (a) can be obtained directly by Fourier analysis (cf. [12]). (b) Assume(V1)holds. Using (3.1) and Lemma 3.3(b) we obtain

dimE[−γ1/21/2]L2

=dimFγL2

=0 for 0γ < a2,

hence σ (A)⊂R\(a, a). If A has an eigenvalue η with eigenfunction u =0 then

A2u = η2u, so η2 is an eigenvalue of A2 contradicting the well-known fact that

σ (A2)=σc(A2) (cf. [19]). It follows that A has only continuous spectrum. Finally, since σ (i3k=1αk∂k)= R there exists a sequence unH1 with |un|2 =1 and | −i3k=1αk∂kun|2→0. This implies

|Aun|2 −i

3

k=1 αk∂kun

2

+(V+a)un2o(1)+a+supV

R3

and (b) follows.

(c) By Lemma 3.1(c), for allγ0 we have

dimE[−γ1/21/2]L2

=dimFγL2

<,

henceσ (A)=σd(A)⊂ {±μ1/2n : n∈N}. Forγ=μnwe have

0 =−0=(Eγ1/2−Eγ1/20)+(Eγ1/2−Eγ1/20).

Assume γ1/2is an eigenvalue of A, so Eγ1/2 −Eγ1/20 =0. Letube a corresponding

eigenfunction and set

J:=

0 I2I2 0

whereI2is the unit matrix inC2. Then

αkJ = −Jαk for k=1,2,3 and βJ = −Jβ.

Settingv=Juone has

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so−γ1/2is also an eigenvalue ofA. Similarly, if−γ1/2is an eigenvalue ofAthenγ1/2is an eigenvalue ofA. 2

Observe that we have an orthogonal decomposition

L2=L−⊕L0⊕L+, u=u−+u0+u+,

such thatAis negative definite onL−, positive definite onL+, and vanishes onL0. Clearly,

L0= {0}ifV (x)≡0 or if(V1)holds.

LetE=D(|A|1/2)be the Hilbert space equipped with the inner product

(u, v)=|A|1/2u,|A|1/2vL2+

u0, v0L2

and normu =(u, u)1/2. There is an induced decomposition

E=E−⊕E0⊕E+ whereE±=EL±, E0=EL0,

which is orthogonal with respect to both(·,·)L2 and(·,·).

Lemma 3.4.

(a) If(V1)holds thenE=H1/2(R3,C4)with equivalent norms, anda|u|22u2;

(b) If(V2)holds thenE H1/2(R3,C4), andEembeds compactly intoLτ(R3,C4)for allτ∈ [2,3).

Proof. The lemma follows easily from Lemma 3.2 and an analysis of interpolation spaces. In fact, using the (complex) interpolation[·,·]θ (see [19]) we haveE= [D, L2]1/2. By

Lemma 3.2, if(V1)holds then

D, L2

1/2∼=

H1, L2 1/2=H

1/2,

and if(V2)holds then the embedding

D, L21/2H1, L21/2=H1/2

is continuous. Moreover in the case of (V2), using Lemma 3.3(c) and the proof of Lemma 3.2(b) one sees thatEembeds compactly into forτ ∈ [2,3). 2

The solutions of the equations(D)and(D)V will be obtained as critical points of the

functional

Φ(u)=1

2

u+2− u−2+ω|u|22

R3

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defined on E. Indeed, let A=U|A| denote the polar decomposition ofA where U= (1−E0)E0. IfuEis a critical point ofΦthen for allϕC0

0=(u+−u, ϕ)+ω(u, ϕ)L2−

R3

Fu(x, u)ϕ

=(u, Aϕ)L2+ω(u, ϕ)L2−

R3

Fu(x, u)ϕ=

u, (A+ω)ϕ L2−

R3

Fu(x, u)ϕ,

henceuis a weak solution of (D)or(D)V. Now a bootstrap argument (see [12]) yields uW1,τ(R3,C4)for allτ2.

4. Parameter-dependent spectral properties

In this section we assume that(V3)is satisfied and investigate the spectrum of the op-erator:= −i

3

k=1αk∂k+(λV (x)+a)β as λ→ ∞. is a selfadjoint operator in L2=L2(R3,C4)with

A2λ= −Δ+(λV +a)2+ 3

k=1

βαk∂kV .

The matrix valued function x(λV (x)+a)2+3k=1βαk∂kV (x) may be negative

definite somewhere. Let(Eγλ)γ∈Rand(Fγλ)γ0denote the spectral families ofandA2λ,

respectively, and define

μeA2λ:=infμ: μσeA2λ,

λ:=dimFγλL2, whereγ=μeA2λ.

Similarly to Lemma 3.1 we have

Lemma 4.1.

(a) σ (A2λ)⊂ [a2,)for everyλ0.

(b) σe(A2λ)⊂ [a2+λ2b,)andσ (A2λ)∩ [0, μe(A2λ))σd(A2λ)for everyλ1.

Proof. (a) Similar to (3.1) we have foruD(A2λ):

A2λu, uL2=(Aλu, Aλu)L2 a2(u, u)L2+2aλ(V u, u)L2 (4.1)

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(b) Fixλ1 and define

Wλ(x)=λ λV (x)2−λb+2aV (x)+i 3

k=1

βαk∂kV (x)

.

Then

A2λ= −Δ+a2+λ2b+Wλ++Wλ−=+

where= −Δ+a2+λ2b++. Clearly, σ (Sλ)⊂ [a2+λ2b,)because+0.

Since

Wλ(x)=λ(λ−1)

V (x)2−b+λ V (x)2+2aV (x)+i 3

k=1

βαk∂kV (x)b

we have suppWλ−⊂Vbby(V3). ThereforeWλ−is-compact (cf. [6]), so we obtain σe

A2λ=σe(Sλ)σ (Sλ)

a2+λ2b,

for allλ1. Finally, all elements belowμe(A2λ)are eigenvalues of finite multiplicity. 2 By Lemma 4.1,A2λhasλeigenvalues, counted with multiplicities, below the infimum

of the essential spectrum.

Lemma 4.2.λ→ ∞asλ→ ∞.

Proof. Let=D(Aλ)H1(R3,C4)be equipped with the inner product (u, v):=(Aλu, Aλv)L2.

Thekth Rayleigh quotient is by definition

μk

A2λ:= sup

ψ1,...,ψk−1∈

Uλ(ψ1, . . . , ψk−1)

where

Uλ(ψ1, . . . , ψn)=inf |

Aλψ|22

|ψ|22 : 0 =ψDλ, (ψ, ψj)L2=0, j=1, . . . , n

.

We havea2μk(A2λ)μk+1(A2λ)for allk∈N. Moreover, eitherμk(A2λ)is an eigen-value ofA2λ, orμk(A2λ)=μk+1(A2λ)= · · · =μe(A2λ). Choose a nonempty bounded domain Ω0Ω and consider the restriction B =(Δ+a2) onto Ω0 of A2λ. The spectrum

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μk(B)→ ∞as k→ ∞. Regarding H01(Ω0,C4)as a subspace of yieldsμk(A2λ) μk(B)for everyk. This together with Lemma 4.1 impliesλ→ ∞asλ→ ∞. 2

Lemma 4.3.Forλ1we have:

(a) σ (Aλ)⊂R\(a, a).

(b) λe:=infσe(||)=μe(A2λ)1/2(a2+λ2b)1/2.

(c) λe :=supσe(Aλ)(−∞,0)= −λeandλ+e :=infσe(Aλ)(0,)=λe.

(d) Aλhas2λeigenvalues lying in(λe, λe): μ±λj= ±μj(A2λ)1/2with the eigenfunction denoted bye±λj forj=1, . . . , λ.

Proof. (a) follows directly from Lemma 4.1. As before, using (3.2) we see that for each

γ∈ [0, μe(A2λ)):

dim[−

γ1/21/2]L2

=dimFγλL2<,

hence±λ±e μe(A2λ)1/2. Settingγ=μe(A2λ)we have for anyε >0

dimFγλ+εFγλεL2= ∞. (4.2) Now (3.2) yields

Fγλ+εFγλε=

+ε)1/2−ε)1/2

+Eλ

ε)1/20Eλ+ε)1/20

.

If dim((Eλ

+ε)1/2 −E

λ

ε)1/2)L

2) < then γ1/2 σ

d(Aλ) and therefore −γ1/2 ∈ σd(Aλ). This implies dim((Fγλ+εFγλε)L2) < ∞, contradicting (4.2). We obtain

dim((Eλ

+ε)1/2−Eλε)1/2)L2)= ∞which impliesγ1/2∈σe(Aλ). Similarly, one checks

that

dimEλε)1/20Eλ+ε)1/20

L2= ∞ for allε >0 small,

so−γ1/2∈σe(Aλ). Now (b)–(d) follow easily. 2

By Lemma 3.2 we have for λ >0 the family of orthogonal decompositions L2= LλL+λ such that is negative onLλ and positive on L+λ. Let=D(||1/2)be

the Hilbert space equipped with the inner product

(u, v)λ=

||1/2u,||1/2v

L2

and norm=(u, u)1/2λ . Then we have induced decompositions =Eλ−⊕E+λ whereEλ±=L±λ.

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Lemma 4.4.H1/2(R3,C4), anda|u|22u2λfor alluEλ.

With the eigenfunctionse±λj ofas in Lemma 4.3(d) we associate another orthogonal

decomposition ofL2:

L2=L2λdL2λe whereLλd2 =spaneλj±: j =1, . . . , λ

.

Correspondingly,splits into

=Aλd+Aλe whereAλd=|L2

λd andAλe=|L2λe,

and the domain splits as

=D(Aλ)=D(Aλd)D(Aλe),

orthogonal with respect to both(·,·)L2 and(·,·)Dλ. Clearly,D(Aλd)=L2λd andD(Aλe)=

D(Aλ)L2λe. Let

S:= inf

uH1(R3)\{0}

|∇u|22 |u|26

denote the best Sobolev constant of the imbeddingH1(R3) L6(R3).

Lemma 4.5.For anyq(2,6)there isCq>0independent ofλ1such that

|u|q

Cq

(a2+λ2b)(6q)/4q|Aλu|2 for alluD(Aλe).

Proof. First of all, Lemma 4.1 implies

(Aλu, Aλu)L2 =

A2λu, u

L2

a2+λ2b|u|22 for alluDA2λe

and therefore

a2+λ2b|u|22|Aλu|22 for alluD(Aλe) (4.3)

becauseD(A2λe)is dense inD(Aλe). We have foruD(A2λe):

|∇u|22= |Aλu|22−

R3

a+λV (x)2u+λ 3

k=1

iβαk∂kV (x)u

·u

|Aλu|22+λ|∇V||u|22|Aλu|22+λ|∇V|∞ a2+λ2b|Aλu|

2

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witha1=1+ |∇V|/b. Thus, by density,

|∇u|22a1|Aλu|22 for alluD(Aλe). (4.4)

Forq(2,6)it follows from the Hölder inequality and (4.3), (4.4) that

R3

|u|q|u|2(6q)/2|u|3(q6 −2)/2

S−3(q−2)/4a2+λ2b(6q)/4|Aλu|(62q)/2|∇u|3(q2 −2)/2 a1S−1

3(q2)/4

a2+λ2b(6q)/4|Aλu|q2=Cqq

a2+λ2b(6q)/4|Aλu|q2

whereCq=(a1S−1)3(q−2)/4qwhich is clearly independent ofλ. 2

We have also the decomposition

=EλdEλe whereEλd=L2λd, Eλe=L2λe (4.5)

which is orthogonal with respect to both(·,·)L2 and(·,·. Note thatEλe=D(|Aλe|1/2).

Lemma 4.6.For allp∈ [2,3)there isCp>0independent ofλ1such that

|u|p

Cp

(a2+λ2b)(3p)/2puλ for alluEλe.

Proof. Sincep(2,3)we haveq:=2p/(4−p)(p,6). We consider the two interpola-tion couples{Y0, Y1}and{X0, X1}withY0=L2,Y1=Lq, andX0=L2λe=D((|Aλe|)0), X1=D(|Aλe|). LetY+=Y0+Y1be equipped with the norm

u+:=inf|v|2+ |w|q: u=v+w, vY0, wY1

,

andX+=X0+X1be equipped with the norm

u+:=inf|v|2+ wDλ: u=v+w, vX0, wX1

.

It is known (cf. [19]) that the (complex) interpolation spaces satisfy

Yt =Lpt where 0t1, 1

pt = t q +

1−t

2

and

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Letı:X+Y+be the embedding operator. Thenı(X1)Y1and Lemma 4.6 yields

ıL(X1,Y1)Cq

a2+λ2b(6q)/4q=Cq

a2+λ2b(3p)/p.

The Calderón–Lions interpolation theorem (cf. [19]) now implies ı(Xt)Yt and ıL(Xt,Yt)ı

1−t

L(X0,Y0

t

L(X1,Y1). In particular,

ıL(D(|A

λe|1/2,Lp))C

1/2 q

a2+λ2b(3p)/2p

which implies

|u|pCp

a2+λ2b(3p)/2p||1/2u2 for alluD|Aλe|1/2;

hereCp=Cq1/2withq=2p/(4−p). 2

Next we choose a sequenceϕmC0∞(Ω,C4)satisfying

|ϕj|2=1, (A0ϕj, ϕj)L2>0, suppϕj∩suppϕk= ∅ ifj =k. (4.6)

Clearlyϕ1, . . . , ϕmare linearly independent. SetYm:=span{ϕ1, . . . , ϕm}andϕλj±:=±ϕj

wherePλ± denotes the projection onto Eλ±. We also define ϕλj± :=Pλ±ϕj and Yλm :=

span{ϕλ1+, . . . , ϕ+λm}.

Lemma 4.7.For eachm∈Nthere holds:

(a) dim(Yλm)=m;

(b) there exist0< ζmξm, both independent ofλ, such that for allλ >0

ζmwλ|w|2ξm|w|p for allwYλm.

Proof. For (a) it suffices to show thatϕλ1+, . . . , ϕ+λmare linearly independent. Suppose that

m

j=1ajϕλj+ =0 withaj∈R,j=1, . . . , m. Then m

j=1 ajϕj=

m

j=1

ajϕλj−+ m

j=1

ajϕλj+= m

j=1

ajϕλj−∈Eλ,

so

m

j=1 ajϕλj

2 λ

= m

j=1 ajϕλj

,

m

j=1 ajϕλj

L2

= m

j=1 ajϕj

,

m

j=1 ajϕj

L2

= A0 m

j=1 ajϕj

,

m

j=1 ajϕj

L2

= m

j=1

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This impliesaj=0 forj=1, . . . , mbecause(A0ϕj, ϕj)L2>0 by (4.6).

Fromϕ+λj2λϕλj−2λ=(Aλϕj, ϕj)L2 =(A0ϕj, ϕj)L2>0 it follows that 2ϕλj+2λ>

ϕj2λa|ϕj|22=a. This implies a

2 1 2ϕj

2

λϕλj+ 2 λ=

A0ϕj, ϕλj+

L2|A0ϕj|2ϕλj+2

and therefore

ϕλj+λ

2

a|A0ϕj|2ϕ + λj2.

Forw=mj=1cjϕλj+∈Yλmwe writew˜ = m

j=1cjϕjYm. Then we have

| ˜w|22= m

j=1

|cj|2 and |A0w˜|22= m

j=1

|cj|2|A0ϕj|22d1| ˜w|22

whered1=max{|A0ϕj|22:j =1, . . . , m}. As a consequence we deduce

w2λ=(Aλw, w)L2(Aλw,˜ w)˜ L2 =(A0w,˜ w)˜ L2=

m

j=1

|cj|2(A0ϕj, ϕj)L2

and obtain

w2λd2 m

j=1

|cj|2=d2| ˜w|22 (4.7)

whered2:=min{(A0ϕj, ϕj)L2: j=1, . . . , m}. Now we see that

w2λ=(A0w, w)˜ L2|A0w˜|2|w|2

d1| ˜w|2|w|2,

so

d3|w|2 for allwYλm (4.8)

whered3= √

d2/d1. Settingq=p/(p−1)andΩm:= m

j=1suppϕj, the Hölder

inequal-ity, (4.7), and (4.8) imply

|w|22=(w, w)˜ L2| ˜w|q|w|p|Ωm|(2q)/2q| ˜w|2|w|p

d1 d2 |

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hence

|w|2d4|w|p for allwYλm (4.9)

whered4= √

d1

d2 |Ωm|

(2q)/2q. Now (b) follows from (4.8) and (4.9). 2

Onwe define the functional

Φλ(u):=

1 2

u+2λuλ2+ω|u|22−1 p|u|

p

g (4.10)

where|u|g=

R3g(x)|u|p. By the assumption 0<infg(R3)supg(R3) <∞,|u|g is

equivalent to|u|p. Critical points ofΦλare solutions of(D, which lie inW1,τ(R3,C4)

for allτ2.

5. Critical point theorems

In this section we collect for the readers convenience some abstract critical point theory which we developed recently in [5]; see [3] and [15] for earlier versions of some results.

LetEbe a Banach space with direct sum decompositionE=XY and corresponding projectionsPX, PY ontoX, Y, respectively. For a functionalΦC1(E,R)we writeΦa= {uE: Φ(u)a},Φb= {uE: Φ(u)b}andΦab=ΦaΦb. Recall that a sequence (un)Eis said to be a(PS)c-sequence ifΦ(un)candΦ(un)→0. It is called a(C)c

-sequence ifΦ(un)cand(1+un)Φ(un)→0.Φis said to satisfy the(PS)c-condition

(or(C)c-condition) if any(PS)c-sequence (or(C)c-sequence, respectively) has a

conver-gent subsequence. A setAEis said to be a(PS)c-attractor if for anyε, δ >0 and any (PS)c-sequence(un)there isn0such thatunUε(AΦcc+δδ)fornn0. Given an interval

I⊂R,Ais said to be a(PS)c-attractor if it is a(PS)c-attractor for allcI. Analogously we define(C)c- and(C)I-attractors.

From now on we assume thatX is separable and reflexive, and we fix a dense subset

SX∗. For eachsSthere is a semi-norm onEdefined by

ps:E→R, ps(u)=s(x)+ y foru=x+yXY.

We denote byTS the induced topology. Letw∗denote the weak*-topology onE∗. Suppose:

0) For anyc∈R,ΦcisTS-closed, andΦ:(Φc,TS)(E, w)is continuous. (Φ1) For anyc >0, there existsζ >0 such thatu< ζPYufor alluΦc.

(Φ2) There existsρ >0 withκ:=infΦ(SρY ) >0 whereSρY := {uY: u =ρ}.

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Theorem 5.1.Let(Φ0)–(Φ2)be satisfied and suppose there areR > ρ >0andeY with e =1such thatsupΦ(∂Q)κ whereQ= {u=x+t e: xX,t0,u<R}. Then

Φhas a(C)c-sequence withκcsupΦ(Q).

For our next result on multiple critical points we assume:

3) There is a finite-dimensional subspace Y0 ⊂Y and R > ρ such that we have

for E0 :=XY0 and B0:= {uE0: u R}: b := supΦ(E0) <∞ and

supΦ(E0\B0) <infΦ(BρY ).

A special case of [5, Theorem 4.6] is:

Theorem 5.2. If Φ is even, satisfies (Φ0), (Φ2), (Φ3) and the(PS)c-condition for all

c∈ [κ, b], then it has at leastn:=dimY0pairs of critical points.

In order to obtain infinitely many critical points we need the following hypotheses:

4) There is an increasing sequenceYnY of finite-dimensional subspaces and a

se-quence(Rn)of positive numbers such that, lettingEn=XYnandBn=BRnEn,

supΦ(En) <∞and supΦ(En\Bn) <infΦ(Bρ). 5) One of the following holds:

(i) for any intervalI(0,)there is a(C)I-attractorAwithP+Abounded and

inf{PY(uv): u, vA, PY(uv) =0}>0;

(ii) Φsatisfies the(C)c-condition forc >0.

Condition 5) is a replacement of the Palais–Smale condition. It is related to the PS

condition from [20]. Theorem 4.8 of [5] yields:

Theorem 5.3.AssumeΦ is even withΦ(0)=0and let(Φ0)–(Φ5)be satisfied. ThenΦ

possesses an unbounded sequence of positive critical values.

In our applications we takeS=X∗so thatTSis the product topology onE=XY

given by the weak topology onX and the strong topology on Y. The hypothesis 0)

follows from the following:

Proposition 5.4.SupposeΦC1(E,R)is of the form

Φ(u)=1

2

y2− x2−Ψ (u) foru=x+yE=XY

such that

(i) ΨC1(E,R)is bounded from below;

(ii) Ψ :(E,Tw)→Ris sequentially lower semicontinuous, that is,un uinEimplies

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(iii) Ψ:(E,Tw)(E,Tw∗)is sequentially continuous;

(iv) ν:E→R,ν(u)= u2, isC1andν:(E,Tw)(E,Tw∗)is sequentially

continu-ous.

ThenΦ satisfies(Φ0).

A proof can be found in [5, Proposition 4.1].

6. The asymptotically quadratic case

In this section we prove Theorems 2.1 and 2.3. We begin with the proof of Theo-rem 2.3. Recall the functionalΦ defined on the space E=H1/2(R3,C4)=E−⊕E+, given by (3.3):

Φ(u)=1

2

u+2− u−2+ω|u|22Ψ (u) whereΨ (u)=

R3

F (x, u).

In order to apply the critical point theorems from Section 5 we setX=E−,Y=E+, and

S=X∗.

First we observe that by(ω)and Lemma 3.4

a− |ω| a u

+2u+2±ω|u+|2 2

a+ |ω| a u

+2 (6.1)

and

a− |ω| a u

2u2±ω|u|2 2

a+ |ω| a u

2. (6.2)

Lemma 6.1.Ψ is weakly sequentially lower semicontinuous andΦis weakly sequentially continuous. Moreover, there isζ >0such that for anyc >0:

u< ζu+ for alluΦc.

Proof. The first conclusion follows easily because E=H1/2(R3,C4) with equivalent norms, so E embeds continuously into Lq(R3,C4) for q ∈ [2,3] and compactly into

Lqloc(R3,C4)forq∈ [1,3). SinceF0, (6.1) and (6.2) imply

ca+ |ω|

2a u

+2a− |ω|

2a u2,

ifΦ(u)c. This yields

a− |ω|

2a u

2<a+ |ω| a u

+2,

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Lemma 6.2.There isρ >0such thatκ:=infΦ(∂BρE+) >0.

Proof. Choosing q(2,3), it follows from the assumptions that for any ε >0 there is

Cε>0 such thatF (x, u)ε|u|2+|u|qfor all(x, u). Therefore, Ψ (u)ε|u|22+|u|qqC

εu2+Cεuq

for alluE. The desired conclusion now follows easily from (6.1) and (6.2). 2

As a consequence of Lemma 3.3 we have

ainfσ (A)∩ [0,)a+supVR3.

We choose a numberγ such that

a+supVR3< γ <infbR3−ω. (6.3) SinceAis invariant under the action ofZ3by(V1), the subspaceY0:=(EγE0)L2is

infinite-dimensional, and

(a+ω)|u|22u2+ω|u|22 +ω)|u|22 for alluY0. (6.4)

Let(γn)nNσ (A)satisfyγ0:=a < γ1< γ2<· · ·γ. For eachn∈N, take an element

en(Eγnn1)L2withen =1 and defineYn:=span{e1, . . . , en},En:=E−⊕Yn.

Lemma 6.3.supΦ(En) <for eachn∈N, and there is a sequenceRn>0 such that

supΦ(En\Bn) <infΦ(Bρ)whereBn= {uEn: uRn}.

Proof. By (6.4) and the form of Φ it is obvious that supΦ(En) <∞. Forn∈Nfixed

we now show thatΦ(u)→ −∞asu → ∞,uEn. Suppose to the contrary that there

existsM >0 and a sequenceujEnwithuj → ∞andΦ(uj)Mfor allj. Then

the normalized sequencevj:=uj/ujsatisfies (up to a subsequence)vj v,vj v−, vj+→v+∈Ynand

Φ(uj) uj2 =

1 2v

+ j

2

vj2+ω|vj|22

R3

F (x, uj) uj2

M uj2=

o(1). (6.5)

Using (6.2) we obtain asj → ∞:

o(1)= − M uj2

1 2v

+ j

2

vj−2+ω|vj|22

=vj+2−1

2vj

2+ω

2|vj|

2 2 v+j2+1

2

|ω| −a a v

j

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Thusv+j is bounded away from 0 and thereforev+ =0. We define

R(x, u):=F (x, u)−1

2b(x)u·u and b0:=infb

R3

whereb:R3→R is from (F3). Then we have F (x, u)c|u|2, R(x, u)|u|−2→0 as

|u| → ∞, and

Φ(u)=1

2

u+2− u−2+ω|u|22

R3

b(x)|u|2 − R3 R(x, u) 1 2

u+2+ω|u+|22a− |ω|

2a u

2b0

2 |u|

2 2−

R3

R(x, u) (6.6)

foruE. By (6.4), (6.3) andv+ =0 there holds

v+2+ω|v+|22a− |ω| a v

2b0|v|2

2−(b0γω)|v+|22− a− |ω|

a v2 <0,

hence, there is a bounded domainΩ⊂R3such that

v+2+ω|v+|22a− |ω| a v

2b0

Ω

|v|2<0. (6.7)

It follows from Lebesgue’s dominated convergence theorem that

lim

j→∞

Ω

R(x, uj) uj2 =jlim→∞

Ω

R(x, uj)|vj|2 |uj|2 =0.

Thus, using (6.5)–(6.7) we obtain

0lim inf

j→∞ 1 2v + j 2

vj−2+ω|vj|22

Ω

F (x, uj) uj2

1

2

v+2+ω|v+|22a− |ω|

2a v

2b0

2

Ω

|v|2<0,

a contradiction. 2

As a consequence, we have:

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Proof. By our assumptions we haveΨ (u)0. Thus

Φ(u)= −1

2

u−2−ω|u−|22Ψ (u)−1

2(aω)|u

|2

2−Ψ (u)0

which, together with Lemma 6.3, implies the lemma. 2

Lemma 6.5.If(ω),(F0)–(F2),(F3), and(F4)hold then any(C)c-sequence is bounded. Proof. Let(uj)Ebe a(C)c-sequence:

Φ(uj)c and

1+ uj

Φ(uj)→0.

It follows from(F3),(F4)that forj large

CΦ(uj)

1 2Φ

(u j)zj=

R3

ˆ

F (x, uj). (6.8)

Assume by contradiction thatuj → ∞and setwj=uj/uj. Then|wj|sCs for

alls∈ [2,3]. It follows from(F4)that, for anyρ >0 there existaρ>0 with ˆ

F (x, u)aρ|u|ν for all|u|ρ. (6.9)

Now (6.8) and (6.9) imply forIj(ρ):= {x∈R3: |uj(x)|ρ}andIjc(ρ)=R3\Ij(ρ):

Ij(ρ)

|wj|ν 1 aρujν

Ij(ρ)

ˆ

F (x, uj) C aρujν

0.

For anys(ν,3)we chooses¯satisfying max{2, s}<s <¯ 3. Using the Hölder inequality we get

Ij(ρ)

|wj|s Ij(ρ)

|wj|ν

(s¯s)/(s¯−ν)

Ij(ρ)

|wj|s¯

(sν)/(s¯−ν)

Css(s¯¯ −ν)/(s¯−ν) Ij(ρ)

|wj|ν

(s¯s)/(s¯−ν)

→0. (6.10)

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It follows from

Φ(uj)u+juj= uj2−

R3

Fu(x, uj)u+juj,

(6.10) and|Fz(x, u)|c1|u|for all(x, u)that

1o(1)+

Ic j(ρε)

|Fu(x, uj)|

|uj| |wj| ·w +

jwj+

Ij(ρε)

|Fu(x, uj)|

|uj| |wj| ·w + jwj

o(1)+ε|wj|22+c1

Ij(ρε)

|wj|2o(1)+εC22+c1

Ij(ρε)

|wj|2→εC22

asj→ ∞, which is impossible. 2

Proof of Theorem 2.3(Existence). With X=E− andY =E+ conditions 0), 1)

hold by Lemma 6.1, and Lemma 6.2 implies2). Together with Lemma 6.4 we have

all the assumptions of Theorem 5.1 verified. Therefore, there exists a sequence(um)

sat-isfyingΦ(um) and(1+ um)Φ(um)→0. By Lemma 6.5,(um)is bounded,

henceΦ(um)→0. Now by the concentration compactness principle (cf. [16]) and the

Z3-invariance ofΦ, a standard argument shows that there isu =0 such thatΦ(u)=0. 2

Now we turn to the multiplicity. Assume (F5) is also satisfied and F is even in u.

ThenΦ is even and4)holds as a consequence of Lemma 6.3. LetK:= {uE\ {0}: Φ(u)=0}be the set of nontrivial critical points. The proof of Theorem 1.3 will be com-pleted in an indirect way. Namely, we show that if

K/Z3is a finite set (6.11) then condition(Φ5)is satisfied. Then we apply Theorem 5.3 and obtain an unbounded sequence of critical values which contradicts (6.11). So we now assume (6.11).

Let F be a set consisting of arbitrarily chosen representatives of the Z3-orbits ofK.

ThenF is a finite set by (6.11), and sinceΦis odd we may assumeF= −F. Ifu =0 is a critical point ofΦ, then

Φ(u)=Φ(u)−1

2Φ

(u)u=

R3

ˆ

F (x, u)

Ω ˆ

F (x, u) >0

by(F4). It follows that there are 0< θϑwith

θ <min

F Φ=minK ΦmaxK Φ=maxF Φ < ϑ. (6.12)

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Lemma 6.6.Assume(6.11)and let(um)be a(C)c-sequence. Then either

(i) um→0andc=0, or

(ii) and there exist a positive integer[c/θ], points u1, . . . , uF, a

subse-quence denoted again by(um), and sequences(aim)⊂Z3,i=1, . . . , , such that

um

i=1

amiui

→0 and

i=1

Φ(ui)=c.

Proof. The argument proceeds as in [15] (see also [10]), so we only give a sketch of the proof. First of all,(um)is bounded by Lemma 6.5. It follows thatΦ(um)→0 and

0

R3

ˆ

F (x, um)=Φ(um)

1 2Φ

(u

m)umc,

thusc0. Assume now that(um)does not converge to 0. As before, the concentration

compactness principle implies that either(um)is vanishing in which case|um|p→0 for

allp(2,3), or it is nonvanishing. Fixing ap(2,3), by(F2)and(F3), for anyε >0

there isCε>0 such that

Fu(x, u)ε|u| +|u|p−1 for all(x, u). (6.13)

If(um)is vanishing one checks easily with the help of (6.13) that

u+m2=Φ(um)u+m+

R3

Fu(x, um)u+m→0

and similarlyum →0, soum →0. Therefore(um)must be nonvanishing. Now since Φ is invariant under theZ3-action, a standard argument enables us to choose a sequence

(am)⊂Z3 such that the sequencevm:=amum converges to vK weakly in Eand

strongly inLplocfor allp∈ [1,3). Note thatΦ(vm)=Φ(um),Φ(um) = Φ(um)and

vm = um. Settingwm=vmvit follows from(F5)that

Φ(wm)cΦ(v) and Φ(wm)→0. (6.14)

(6.12) and (6.14) implyθ < Φ(v)c. There are two possibilities:c=Φ(v)orc > Φ(v). Ifc=Φ(v)thenwm→0. Ifc > Φ(v), then arguing as above with(um)andcreplaced by (wm)andc=cΦ(v), respectively, we obtainvKwithθ < Φ(v)cθ. After at

mostcθsteps we obtain the conclusion. 2

For∈Nand a finite setBEwe define

[B, ] := j

i=1

(aiui): 1j, ai∈Z3, uiB

(27)

An argument similar to one from [9] or [10] shows

infuu: u, u∈ [B, ], u =u>0. (6.15)

As a consequence of Lemma 6.6 we have the following:

Lemma 6.7.Assume(6.11). ThenΦ satisfies(Φ5).

Proof. Given a compact interval I(0,) with d :=maxI we set := [d/θ] and

A= [F, ]. ClearlyE±areZ3-invariant becauseAisZ3-invariant. We havePY[F, ] = [PYF, ]. Thus it follows from (6.15) that

infu+1u+2:u1, u2∈A, u+1 =u+2

>0.

In addition, A is a (C)I-attractor by Lemma 6.6, and A is bounded because u max{ ¯u: u¯∈F}for alluA. 2

Proof of Theorem 2.3(Multiplicity). Assume by contradiction that(D)V has only finitely many geometrically distinct solutions, that is, (6.11) holds. ThenΦ satisfies (Φ0)(Φ5)

by Lemmas 6.1–6.3 and 6.7. Therefore Theorem 5.3 yields an unbounded sequence of critical values forΦ which contradicts (6.11). This proves that(D)V has infinitely many geometrically distinct solutions. 2

Now we turn to the proof of Theorem 2.1.

Proof of Theorem 2.1. The main difference to the proof of Theorem 2.3 lies in the bound-edness of the(C)c-sequences. We chooseγsuch thata < γ < bωwherebis from(F3),

and define the finite-dimensional subspaceYnE+as before. We assume that (ω)and (F0)(F4)are satisfied.

Claim 6.1.The conclusions of Lemmas6.1–6.4are true.

This can be proved as before. Next we obtain:

Claim 6.2.Any(C)c-sequence is bounded.

In order to see this we introduce the following norm onE:

=

u2+ω|u+|22− |u−|221/2.

Withω0=min{aω, a+ω}and using (6.1), (6.2) we have

ω0|u|22u2ω and a− |ω|

a u

2u2 ω

a+ |ω| a u

2.

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