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www.elsevier.com/locate/anihpc

On some results of Moser and of Bangert Sur quelques résultats de Moser et Bangert

P.H. Rabinowitz

a,1,

, E. Stredulinsky

b

aDepartment of Mathematics University of Wisconsin-Madison, Madison, WI 53706, USA bDepartment of Mathematics University of Wisconsin-Richland, Richland Center, WI 53581, USA

Received 5 May 2003; accepted 17 October 2003 Available online 13 February 2004

Abstract

A new proof is given of results in (V. Bangert, AIHP Anal. Nonlin. 6 (1989) 95) on the existence of minimal (in the sense of Giaquinta and Guisti) heteroclinic solutions of a nonlinear elliptic PDE. Bangert’s work is based on an earlier paper of Moser (AIHP Anal. Nonlin. 3 (1986) 229). Unlike (V. Bangert, AIHP Anal. Nonlin. 6 (1989) 95), the proof here is variational in nature, and involves the minimization of a ‘renormalized’ functional. It is meant to be the first step towards finding locally vs. globally minimal solutions of the PDE.

2004 Elsevier SAS. All rights reserved.

Résumé

Nous donnons une démonstration nouvelle des résultats de Bangert sur l’existence d’une solution minimale (au sens de Giaquinta et Guisti) hétéroclinique d’un EDP elliptique nonlinéaire. Le travail de Bangert est basé sur un article de Moser (AIHP Anal. Nonlin. 3 (1986) 229). Contrairement à (V. Bangert, AIHP Anal. Nonlin. 6 (1989) 95), la démonstration est variationelle en nature, et utilise la minimisation d’une fonctionelle « renormalisée ». C’est une tentative de premier pas pour trouver des solutions minimales localement, plutôt que globalment de l’EDP.

2004 Elsevier SAS. All rights reserved.

MSC: 35J20; 58E15

Keywords: Monotone twist maps; Minimal heteroclinic; Aubry–Mather theory; Renormalized functional

* Corresponding author.

E-mail addresses: rabinowi@math.wisc.edu (P.H. Rabinowitz), estredul@richland.uwc.edu (E. Stredulinsky).

1 This research was sponsored in part by the National Science Foundation under grant #MCS-8110556.

0294-1449/$ – see front matter 2004 Elsevier SAS. All rights reserved.

doi:10.1016/j.anihpc.2003.10.002

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1. Introduction

Motivated by work of Aubry [3] and of Mather [7] on monotone twist maps, Moser [8] made the first steps towards finding analogues of their theory in the setting of quasilinear elliptic partial differential equations onRn. He studied the equation

n

i=1

∂xiFpi(x, u, Du)Fu(x, u, Du)=0, (1.1)

which arises formally as the Euler equation of the functional

Rn

F(x, u, Du)dx, (1.2)

whereF(x, u, p) is e.g. C3 in its arguments and 1-periodic in the components of x∈Rn and inu. F further satisfies structural conditions that imply weak solutions of (1.1) are actually classical solutions of the equation [8].

LetNα denote the set of solutions of (1.1) that have a prescribedα∈Rnas rotation vector, that are minimal in the sense of Giaquinta and Guisti [6], and whose graphs viewed onTn+1have no self intersections. The notion of rotation vector here is the extension toRn of the usual rotation number used in dynamical systems. Likewise the minimal and non-self intersection properties are the analogues for solutions of (1.1) of properties of monotone twist maps. Among other things, Moser showedNα= ∅for allα∈Rnand obtained various qualitative and quantitative properties for the members ofNα. E.g. forN0, he obtained solutions that are 1-periodic inx1, . . . , xn. Letting Mα denote the subset ofNα whose existence Moser established, he further provedMα is an ordered set, i.e.

v, wMαimpliesvw,v < w, orv > w.

Bangert carried Moser’s analysis further in various ways. Among other things, he showed that wheneverα∈Qn andMαpossesses a gap, i.e. there are adjacentv0< w0inMα, then there is aU1Nαwhich is heteroclinic in an appropriate sense fromv0tow0and likewise another solution of (1.1) heteroclinic fromw0tov0. E.g. ifα=0 so v0andw0are adjacent members ofM0, there is aU1N0heteroclinic inx1fromv0tow0. (Similarly there are members ofN0heteroclinic inxi fromv0tow0, 2in.) Moreover ifM10denotes the set of such heteroclinic solutions,M10 is ordered. If there is a gapv1< w1inM10, there is aU2M10 which is also heteroclinic inx2 fromv1tow1. Further gap conditions lead to yet more complicated heteroclinics.

There are analogues of Ui in the Aubry–Mather Theory: gaps between periodic invariant sets lead to the existence of heteroclinic invariant curves joining the periodic sets. Moreover given any formal chain of such heteroclinic invariant curves, there are actual invariant curves shadowing the chain. Thus it is natural to seek such shadowing solutions of (1.1). In recent years, variational methods have been devised to carry out such constructions in dynamical systems or PDE settings, see e.g. [10,5,1,2,9]. These methods require a variational characterization of the basic solutions such asU1above. However Bangert’s clever existence argument in [4] is not variational in nature. Therefore as a first step towards constructing more complex solutions of (1.1), in this paper we provide a variational approach to find the type of solutions Bangert discovered. This will only be done for the special but still significant setting ofα=0 andF(x, u, p)=12|p|2+F (x, u)where

(F1) FC2(Rn×R,R),

(F2) F (x, u)is 1-periodic inx1, . . . , xnandu, and (F3) F is even inx1, . . . , xn.

Thus (1.1) becomes

u+Fu(x, u)=0. (PDE)

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A serious difficulty that has to be overcome in the variational approach to (PDE) is that the associated functionals defined on the classes of functions of the heteroclinic types ofU1,U2, etc. are infinite. Thus to obtainU1requires a renormalization, i.e. subtracting an infinite term from the natural functional. Likewise obtainingU2 requires a second renormalization, etc.

The existence ofU1will be carried out in Section 2 and its (Giaquinta–Guisti) minimality will be established in Section 3. An inductive argument will then be given in Section 4 to treat the general case.

2. The simplest heteroclinics

In this section, it will be shown how to obtain solutions of (PDE) that are heteroclinic inx1fromv0tow0where v0< w0are an adjacent pair of solutions of (PDE) that are 1-periodic inx1, . . . , xn.

For ease of notation, set L(u)=1

2|∇u|2+F (x, u) withF satisfying (F1)–(F3). Let

Γ0=

uWloc1,2(Rn)|uis 1-periodic inx1, . . . , xn .

For=(1, . . . , n)∈Zn, setT ()= [1, 1+1] × · · · × [n, n+1]. Define J0(u)=

T (0)

L(u)dx.

Finally define c0= inf

uΓ0J0(u). (2.1)

In [3], Moser showed:

Proposition 2.2. IfM0≡ {uΓ0|J0(u)=c0}, then

1o M0=φand ifuM0,uis a classical solution of (PDE).

2o M0is an ordered set.

A further property ofM0is:

Corollary 2.3. IfuM0,uis even inx1, . . . , xn.

Proof. Setζi(x)=(x1, . . . , xi1,xi, xi+1, . . . , xn), 1in. IfuM0, thenui(x)=u(ζi(x))M0via (F3).

Ifuiu, by 2oof Proposition 2.2, either (i)ui(x) > u(x)or (ii)ui(x) < u(x)for allx∈Rn. If (i) occurs, ui

ζi(x)

=u(x) < ui(x)=u ζi(x)

, (2.4)

a contradiction. Similarly (ii) cannot hold. Thusuiu, 1in. 2 To continue, assume there is a gap inM0:

()0 There are adjacentv0, w0M0withv0< w0.

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Set Γ1=

uWloc1,2(Rn)|v0uw0 a.e. anduis 1-periodic inx2, . . . , xn

.

Now the renormalized functionalJ1(u)for this setting can be introduced. Forj∈Zandk∈ {1, . . . , n}, set τkju(x)=u(x1, . . . , xk+j, . . . , xn)

and fori∈Z, define J1,i(u)=J0

τ1iu

c0. (2.5)

Alternatively sete1=(1,0, . . . ,0), . . . , en=(0, . . . ,0,1), the usual basis inRn. Then J1,i(u)=

T (ie1)

L(u)dx−c0. Now define

J1(u)=

i∈Z

J1,i(u).

The next proposition provides the properties ofJ1that will be required here. Hypothesis (F3) plays its main role in 1o–2o.

Proposition 2.6. ForuΓ1, 1o J1,i(u)0 for alli∈Z. 2o J1(u)0.

3o

T (ie1)L(u)dxJ1(u)+c0for anyi∈Z.

4o J1is weakly lower semicontinuous (lsc) (with respect toWloc1,2(Rn)) onΓ1. Proof. ForuΓ1andx1∈ [i+12, i+1], set

ϕi+(u)=τ1iu (2.7)

and forx1∈ [i, i+12], set

ϕi(u)=τ1iu. (2.8)

Extendϕi±(u)first as even functions aboutx1=i+12 and then 1-periodically inx1. Continuing to denote these extensions byϕ±i (u), their definition impliesϕi±(u)Γ0and

J1,i(u)=1 2

J1,i

ϕ+i (u) +J1,i

ϕi (u)

0. (2.9)

Thus 1oand hence 2ohold. By 1o, J1,i(u)=

T (ie1)

L(u)dx−c0J1(u) (2.10)

so 3ois valid. To prove 4o, note first thatJ0is weakly lsc onΓ0. Let(uk)be a sequence inΓ1andukuweakly inWloc1,2(Rn)ask→ ∞. Set

J1;p,q(u)q

p

J1,i(u).

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Then by the weak lsc ofJ0, (2.5), (2.9) and 1o, J1;p,q(u)=1

2 q

p

J1,i ϕ+i (u)

+J1,i ϕi(u)

1

2 q

p

lim

k→∞J1,i

ϕi+(uk) + lim

k→∞J1,i

ϕi (uk)

1

2 lim

k→∞

q

p

J1,i

ϕi+(uk) +J1,i

ϕi (uk)

= lim

k→∞J1;p,q(uk) lim

k→∞J1(uk). (2.11)

Since (2.11) is valid for allpq∈Z, J1(u) lim

k→∞

J1(uk) (2.12)

and 4oholds. 2

Remark 2.13. The argument used to prove 1oshows c0= inf

uW1,2(T (0))

J0(u)

and ifuW1,2(T (0))withJ (u)=c0, thenuM0. See e.g. [9] for a similar argument.

Next the class of functions that will be used to find a solution of (PDE) heteroclinic inx1fromv0tow0can be introduced. Set

Γ1=

uΓ1|11uandv0uw0 .

The members ofΓ1automatically are heteroclinic inx1fromv0tow0(in a weak sense) as the next result shows.

Proposition 2.14. IfuΓ1andJ1(u) <, thenτj1uv0andτ1juw0weakly inW1,2(T (0))asj→ ∞. Proof. Sincev0τj1(u)w0for allj∈Z, 3oof Proposition 2.6 showsj1u)is bounded inW1,2(T (0)). This with the monotonicity property,11u, shows there is a uniquevW1,2(T (0))such thatτj1uvweakly in W1,2(T (0))and strongly inL2(T (0))asj→ ∞and

v0vuw0. (2.15)

Since J1(u) <∞, J0j1u)c0 as |j| → ∞. But J0 is weakly lsc so J0(v)c0. Now Remark 2.13 shows J0(v)=c0andvM0. Hence (2.15),()0, anduw0implyv=v0. Similarlyτj1uw0asj→ −∞weakly inW1,2(T (0)). 2

Remark 2.16. In fact, by arguments in [9], the convergence ofτj1uis inW1,2(T (0)).

Now to obtain a solution of (PDE) heteroclinic inx1fromv0tow0, set c1= inf

uΓ1

J1(u). (2.17)

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Theorem 2.18. LetF satisfy (F1)–(F3) and let()0hold. Then 1o There is aU1Γ1such thatJ1(U )=c1.

2o Any suchU1is a classical solution of (PDE).

3o U1is heteroclinic (inC2) fromv0tow0, i.e. U1v0 C2(T (j e1))0 asj→ −∞and U1w0 C2(T (j e1))0 asj→ ∞.

4o v0< U1< τ11U1< w0.

5o M1≡ {uΓ1|J1(u)=c1}is an ordered set.

6o IfuM1,uis even inx2, . . . , xn.

Remark 2.19. In Section 3, it will be further shown thatU1is minimal in the sense of Giaquinta and Guisti.

Proof of Theorem 2.18. Let(uk)Γ1be a minimizing sequence for (2.17). Normalize(uk)so that fori <0,

T (ie1)

ukdx1 2

T (0)

(v0+w0)dx <

T (0)

ukdx. (2.20)

That this can be done follows from Proposition 2.14. By 3o of Proposition 2.6,(uk)is bounded in Wloc1,2(Rn).

Therefore there is aU1Wloc1,2(Rn), 1-periodic inx2, . . . , xk such that along a subsequence,ukU1weakly in Wloc1,2(Rn)and strongly inL2loc(Rn). Hence by the properties ofuk,v0U1τ1U1w0and by (2.20),U1Γ1. Thus

J1(U1)c1. (2.21)

On the other hand, 4oof Proposition 2.6 andU1Γ1imply

J1(U1)c1. (2.22)

Combining (2.21)–(2.22) gives 1oof Theorem 2.18.

To verify 2o–5o, modifications of arguments from [9] will be employed. To prove thatU1satisfies (PDE), let z∈Rn and let Br(z) be a ball of radiusr aboutz with r < 12. For j ∈Zn, set zj =z+j. LetU=U1 in Rn\ j∈ZnBr(zj)andU=uj inBr(zj)whereuj minimizes

Br(zj)

L(ϕ)dx (2.23)

over

Sr(zj)=

ϕWloc1,2(Rn)|ϕ=U1inRn\Br(zj)

. (2.24)

As in Lemma 2.4 of [9], there is aujSr(zj)minimizing (2.23) and any such minimizer of (2.23) is a solution of (PDE) inBr(zj). A priori, there may not be a unique minimizer but as in Lemma 2.5 of [9], the set of minimizers is ordered and there is a unique smallest one which is chosen to beuj. Note that

Br(zj)

L(U1)dx

Br(zj)

L(uj)dx (2.25)

for allj∈Zn. Hence

J1(U1)J1(U). (2.26)

We claimUΓ1and therefore

J1(U)J1(U1). (2.27)

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But then by (2.25), for allj∈Zn,

Br(zj)

L(U1)dx=

Br(zj)

L(uj)dx.

ThusU1is a minimizer of (2.23) inSr(zj)and hence a solution of (PDE).

To verify thatUΓ1, observe first that the 1-periodicity ofU1inx2, . . . , xnimplies the same forU. Thus UΓ1if (a)v0Uw0, (b)Uτ11U, and (c)v0Uw0. To prove (a), sincev0U1w0, it suffices to showv0ujw0inBr(zj). Suppose e.g.uj(y) < v0(y)for someyBr(zj). Set ψj =min(v0, uj). Then ψj =v0inRn\Br(zj). LetSbe a unitn-cube centered atzj. Thenψj=v0inS\Br(zj),ψj =uj neary, and ψj|S extends naturally toRnas an element ofΓ0. Continuing to denote this extension byψj,

c0=J0(v0)J0j)

=

S\Br(zj)

L(v0)dx+

Br(zj)∩{v0uj}

L(v0)dx+

Br(zj)∩{v0>uj}

L(uj)dx. (2.28)

Hence

Br(zj)∩{v0>uj}

L(v0)dx

Br(zj)∩{v0>uj}

L(uj)dx. (2.29)

Setχj=max(v0, uj)soχjSr(zj)and

Br(zj)

L(uj)dx

Br(zj)

L(χj)dx=

Br(zj)∩{v0>uj}

L(v0)dx+

Br(zj)∩{v0uj}

L(uj)dx

so

Br(zj)∩{v0>uj}

L(uj)dx

Br(zj)∩{v0>uj}

L(v0)dx. (2.30)

Combining (2.29) and (2.30) yields equality in these expressions and returning to (2.28) shows

c0=J0(v0)J0j)=J0(v0). (2.31)

HenceψjM0. But by Proposition 2.2,ψj cannot both=v0inS\Br(zj)and=ujneary. Thus the assumption thatuj(y) < v0(y)is not tenable andv0uj. Similarlyujw0and (a) has been proved.

To obtain (b), suppose not. Then as in the proof of Proposition 2.3 of [9], for somej, there is anx0Br(zj) such that

uj+e

1(x0+e1) < uj(x0). (2.32)

ForxB1/2(zj), set ψ(x)=uj+e

1(x+e1),χ=max(uj, ψ),ζ =min(uj, ψ). Thenζ =uj=U1τ11U1= ψ=χonB1/2(zj)\Br(zj). Thus

Br(zj)

L(ζ )+L(χ ) dx=

Br(zj)

L(uj)+L(ψ)

dx (2.33)

which shows thatζ minimizes (2.23) overSr(zj)andτ1χ minimizes (2.23) overSr(zj+e1). Therefore by the definitions ofUandζ,

uj(x0)ζ (x0)ψ(x0)=uj+e

1(x0+e1) (2.34)

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contrary to (2.32). Thus (b) is verified. To prove that (c) is valid, suppose not. IfUw0, then U1=w0 in Rn\ j∈Zn(zj)soτj1U1v0inL2(T (0))asj→ ∞, contrary to Proposition 2.14 forU1. SimilarlyUv0. Thus (a), (b), and (c) hold andU1satisfies (PDE). Since anyUM1is trivially the limit of a minimizing sequence for (2.17), the argument just given showsUsatisfies (PDE) and 2oof the theorem is satisfied.

To prove 3oof Theorem 2.18, observe that U1v0 L2(T (ie1))→0 asi→ −∞by Proposition 2.14. SinceU1

andv0are bounded inL(Rn), local Schauder estimates showU1v0is bounded inCloc2,α(Rn)for anyα(0,1).

Standard interpolation inequalities then yield 3oforU1v0and a similar argument applies toU1w0.

To establish 4o–5o, we begin with 5o. Let V , WM1. If 5o is false, setting ϕ =max(V , W ) and ψ= min(V , W ), thenϕ(z)=ψ(z)for somez∈Rn. Suppose for the moment thatϕ, ψΓ1. Arguing as in the proof of Proposition 2.2 [8], for alli∈Z,

T (ie1)

L(ϕ)dx+

T (ie1)

L(ψ)dx=

T (ie1)

L(V )dx+

T (ie1)

L(W )dx (2.35)

and this implies

2c1J1(ϕ)+J1(ψ)=J1(V )+J1(W )=2c1. (2.36)

ThusJ1(ϕ),J1(ψ)=c1and by 1o–2o,ϕ andψare solutions of (PDE). Butϕψ0,ϕ(z)=ψ(z), andϕψ is a solution of the linear elliptic partial differential equation

Φ+A(x)Φ=0 (2.37)

where

A(x)=Fu(x, ϕ(x))Fu(x, ψ(x))

ϕ(x)ψ(x) , ϕ(x) > ψ(x)

=Fuu x, ϕ(x)

, ϕ(x)=ψ(x).

Further writing (2.37) as

Φ+max(A,0)Φ= −min(A,0)Φ0, (2.38)

the maximum principle impliesϕψ, a contradiction.

To verify thatϕ, ψΓ1, it suffices to prove that

τ11χχ (2.39)

forχ=ϕ, ψ. First forϕ, note that

τ11ϕ(x)=ϕ(x1+1, x2, . . .)=max

V (x1+1, x2, . . .), W (x1+1, x2, . . .)

. (2.40)

Ifτ11ϕ(x)=τ11V (x), sinceτ11V (x)V (x), then by (2.40), τ11V (x)τ11W (x)W (x).

A similar argument applies ifτ11ϕ(x)=τ11W (x). Hence (2.39) holds forϕ.

Next to prove (2.39) forψ, ifτ−11 ψ(x)=τ−11 V (x)andψ(x)=V (x), (2.39) is valid while ifτ−11 ψ=τ−11 V (x) andψ(x)=W (x),

τ11ψ(x)=τ11V (x)V (x)W (x)=ψ(x).

A similar argument obtains if the roles ofV andW are reversed. Thusϕ, ψΓ1and 5ois proved.

To get 4o, note that

v0U1τ11U1w0. (2.41)

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Now the maximum principle can be used exactly as in (2.37)–(2.38) to get strict inequalities in (2.41). Lastly 6o follows from 5oand the argument of Corollary 2.3.

The proof of Theorem 2.18 is complete. 2

3. Minimality ofU1

As was mentioned in the introduction, Moser studied solutions of (1.1) that were minimal in the sense of Giaquinta and Guisti. In this section it will be shown thatU1is a minimal solution of (PDE) in this sense.

Following [6],U1is a minimal solution of (PDE) if for any bounded domain⊂Rnwith a smooth boundary,

L(u)dx

L(U1)dx (3.1)

for anyuWloc1,2(Rn)withu=U1inRn\. In other wordsU minimizes

L(·)dx over the class ofW1,2(Ω) functions havingU1as boundary values. The proof of Theorem 2.18 shows thatU1satisfies (3.1) when is any ball of radiusr < 12. To extend this property to the more general class of bounded’s with a smooth boundary requires showing thatc0andc1can be characterized as minimizers of functionals in broader classes of functions.

To begin, letp=(p1, . . . , pn)∈Nnand set Γ0(p)=

uWloc1,2(Rn)|uispi periodic inxi, 1in , Ip(u)=

p1

0

· · ·

pn

0

L(u)dx, c0(p)= inf

uΓ0(p)Ip(u), and

M0(p)=

uΓ0(p)|Ip(u)=c0(p) .

The proof of Proposition 2.2 shows thatM0(p)=φand is an ordered set.

Lemma 3.2.M0(p)=M0(and thereforec0(p)=(n

1pi)c0).

Proof. It suffices to show thatτi1u=u for 1in and anyuM0(p). If not, since M0(p)is ordered, either (i)τi1u > uor (ii)τi1u < u. If e.g. (i) occurs,

u < τi1u <· · ·< τip

iu=u,

a contradiction. Similarly (ii) cannot occur and the lemma follows. 2

Next it will be shown that there is an analogue of Lemma 3.2 in the setting of Theorem 2.18. Let = (2, . . . , n)∈Nn1and define

Γ1()=

uWloc1,2(Rn)|v0uw0anduisi periodic inxi, 2in . Letp∈Nnwithp=(p1, )and leti∈Z. ForuΓ1(), define

J1,ip(u)=

21 k2=0

· · ·

n1 kn=0

T ((ip1,k))

L(u)dxc0

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and

J1p(u)=

i∈Z

J1,ip(u).

Observe that with slight modifications in the proof,J1phas the same properties onΓ1()as doesJ1onΓ1given by Proposition 2.6. Set

Γ1(p)=

uΓ1()|1p

1uandv0uw0

. ReplacingΓ1, J1, andT (0)by Γ1(p),J1p, and 0k

rprT (k1e1+ · · · +knen), the proof of Proposition 2.14 carries over to the current setting.

Now define c1(p)= inf

uΓ1(p)J1p(u).

By the above observations, the argument of Theorem 2.18 (withr <12min1inpi now permitted) applies here so M1(p)

uΓ1(p)|J1p(u)=c1(p)

is a nonempty ordered set of solutions of (PDE). The analogue of Lemma 3.2 in this setting is:

Lemma 3.3.M1(p)=M1andc1(p)=(n

1pi)c1.

Proof. It suffices to show that wheneveruM1(p): (i)τi1u=u, 2in, and (ii)τ11uu. The proof of (i) is the same as that of Lemma 3.2. For (ii), observe thatτ11uM1(p)which is ordered. Hence if (ii) fails,u > τ11u so by the definition ofΓ1(p),

1p

1u < τ1p

1+1u <· · ·< u, a contradiction. 2

Remark 3.4. By (F2), the replacement of[ip1, ip1+1]inT (ip1, k)by[ip1+j, ip1+j+1]for anyj∈Zdoes not effect the above arguments. The same is true ifis replaced by+qfor anyq∈Rn1.

Theorem 3.5. AnyUM1is a minimal solution of (PDE) in the sense of Giaquinta and Guisti.

Proof. To show that (3.1) is satisfied, letz∈Rnandr >0 such thatBr(z). Set Sr(z)=

uWloc1,2(Rn)|u=UinRn\Br(z) . It suffices to prove that

Br(z)

L(u)dx

Br(z)

L(U )dx (3.6)

for anyuSr(z). By Lemma 3.3, M1=M1(p)for anyp∈Nn. Choosepso that min1inpi >2r. Further exploiting Remark 3.4, it can be assumed that Br(z)T (p). Hence by the proof of Theorem 2.18, U minimizes

Br(z)L(·)dxoverSr(z)and the proof is complete. 2 An immediate consequence of Theorem 3.5 is

Corollary 3.7.U1is the unique minimizer of

Br(z)L(·)dxinSr(z).

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Proof. SupposeuSr(z)so that

Br(z)

L(u)dx=

Br(z)

L(U1)dx. (3.8)

Letr> r. Then by (3.8),

Br∗(z)

L(u)dx=

Br∗(z)\Br(z)

L(U1)dx+

Br(z)

L(u)dx=

Br∗(z)

L(U1)dx. (3.9)

Hence U1Sr(z) and minimizes

Br∗(z)L(·)dx over Sr(z). Again as in Lemma 2.5 of [9], the set of such

minimizers is ordered. Sinceu andU1 belong to this set andu=U1 inBr(z)\Br(z), uU1. The proof is complete. 2

4. The general case

The goal of this section is to show how the results of Sections 1–2 together with induction and minimization arguments can be used to obtain more complex heteroclinic solutions of (PDE) corresponding to those obtained by Bangert [4] via his nonvariational approach.

To give an idea of the inductive procedure at level two, supposeM1as obtained in Theorem 1.18 satisfies a gap condition:

()1 There are adjacentv1< w1inM1. Define the set of functionsΓ2via

Γ2=

uWloc1,2(Rn)|v111uw1anduis 1-periodic inx3, . . . , xn

. The renormalized functional,J2onΓ2is defined by

J2(u)=

i∈Z

J2,i(u) where

J2,i(u)=J1 τ2iu

c1.

Suppose thatJ2onΓ2has the analogues of the properties ofJ1onΓ1as given by Proposition 2.6 with 3oreplaced

by

T (1e1+2e2)

L(u)dxJ2(u)+c0+c1

for any1, 2∈Z. Suppose also that Proposition 2.14 is valid with appropriate changes of sub- or superscript 1’s to 2’s. Setting

Γ2=

uΓ2|21uandv1uw1 and

c2= inf

uΓ2

J2(u),

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the analogue of Theorem 2.18 holds here providing a solution of (PDE) that is heteroclinic inx1fromv0tow0and heteroclinic inx2fromv1tow1. Moreover as in Theorem 3.5,U2is a minimal solution of (PDE) in the sense of Giaquinta and Guisti.

Now setting M2=

uΓ2|J2(u)=c2 ,

a gap condition()2can be introduced and the process continues. To carry out the induction argument properly, let m < nand assume the gap condition:

()i There are adjacentvi< wi inMi holds fori=0, . . . , m−1. Let Γi=

uWloc1,2(Rn)|vi1j1uwi1, 1j < ianduis 1-periodic inxi+1, . . . , xn (4.1)i for 1im. Theith renormalized functional,Ji(u), is given by

Ji(u)=

p∈Z

Ji,p(u) (4.2)i

where

Ji,p(u)=Ji1

τipu

ci1. (4.3)i

Suppose thatJi onΓi possesses the following properties for 1im:

Proposition 4.4i. ForuΓi, 1o Ji,p(u)0 for allp∈Z. 2o Ji(u)0.

3o

T (i

1qeq)L(u)dxJi(u)+i1

0 cq. 4o Ji is weakly lsc (inWloc1,2(Rn)) onΓi.

For 1im, set Γi=

uΓi|1iuandvi1uwi1

(4.5)i

and assume (with the understanding that0

1qeq=0):

Proposition 4.6i. IfuΓi andJi(u) <, then asj → ∞jiuvi1weakly inW1,2(T (i1

1 qeq))for all 1, . . . , i1∈Zand asj→ −∞jiuwi1weakly inW1,2(T (i1

1 qeq))for all1, . . . , i1∈Z. Finally define

ci= inf

uΓi

Ji(u), 1im, (4.7)i

and assume:

Theorem 4.8i. LetF satisfy (F1)–(F3) and let()i hold. Then 1o There is aUiΓi such thatJi(Ui)=ci.

2o Any suchUi is a classical solution of (PDE).

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