Introduction
where Q,p,q,δ,μ,s,m, a,b are real parameters, Q,p,q=1, and ε1=±1, ε2=±1. These problems are the subject of a very rich litterature, either in the case of source terms (ε1=ε2=1) or absorption terms (ε1=ε2=1) or mixed terms (ε1=−ε2). In the sequel we are concerned by the radial solutions, except at Section 9 where the solutions may be nonradial.
In this article we we give a new way of studying the radial solutions. In Section 2 we reduce system (G) to a quadratic autonomous system:
This system is of Kolmogorov type. The reduction is valid for equations and systems with source terms , absorption terms , or mixed terms . It is remarkable that in the new system, p and q appear only as simple coefficients, which allows to treat any value of the parameters, even p or q<1, and s,m,δ or μ<0.
In Section 3 we revisit the well-known scalar case (1.1), where (G) becomes two-dimensional. We show that the phase plane of the system gives at the same time the behaviour of the two equations
which is a kind of unification of the two problems, with source terms or absorption terms. For the case of source term (ε1=1), we find again the results of , , showing that the new dynamical approach is simple and does not need regularity results or energy functions. Moreover it gives a model for the study of system (G). Indeed if p=q, a=b and δ+s=μ+m, system (G) admits solutions of the form (u,u), where u is a solution of (1.1) with Q=δ+s.\vskip6.0ptplus2.0ptminus2.0pt
In the sequel of the article we study the case of source terms, i.e. (G)=(S), where
This system has been studied by many authors, in particular the Hamiltonian problem s=m=0, in the linear case p=q=2, see for example , , , , , , and the potential system where δ=m+1, μ=s+1 and a=b, see , , ; the problem with general powers has been studied in , , , in the linear case and , , in the quasilinear case, see also , , .
Here we suppose that δ,μ>0, so that the system is always coupled, s,m≧0, and we assume for simplicity
We say that a positive solution (u,v) in (0,R) is regular at if u,v ∈C2(0,R)∩C([0,R)). Condition min(p+a,q+b)>0 guaranties the existence of local regular solutions. Then u,v∈C1([0,R)). when a,b>−1, and u′(0)=v′(0)=0. The assumption D>0 is a classical condition of superlinearity for the system.
We are interessed in the existence or nonexistence of ground states, called G.S., that means global positive (u,v) in (0,∞) and regular at 0. We exclude the case of ”trivial” solutions, (u,v)=(0,C) or (C,0), where C is a constant, which can exist when s>0 or m>0.
In Section 4 we give a series of local existence or nonexistence results concerning system (S), which complete the nonexistence results found in the litterature. They are not based on the fixed point method, quite hard in general, see for example , . We make a dynamical analysis of the linearization of system (M) near each fixed point, which appears to be performant, even for the regular solutions. For a better exposition, the proofs are given at Section 10.
In Section 5 we study the global existence of G.S. This problem has been often compared with the nonexistence of positive solutions of the Dirichlet problem in a ball, see , , , . Here we use a shooting method adapted to system (M), which allows to avoid questions of regularity of system (S). We give a new way of comparison, and improve the former results:
(i) Assume s<N−pN(p−1)+p+pa and m<N−qN(q−1)+q+qb. If system (S) has no G.S., then
(i) there exist regular radial solutions such that X(T)=p−1N−p and Y(T)=q−1N−q for some T>0, with 0<X<p−1N−p and 0<Y<q−1N−q on (−∞,T).
(ii) there exists a positive radial solution (u,v) of the Dirichlet problem in a ball B(0,R).
This result is a key tool in the next Sections for proving the existence of a G.S. It gives also new existence results for the Dirichlet problem, see Corollary 5.3. We also give a complementary result:
Assume s≧N−pN(p−1)+p+pa and m≧N−qN(q−1)+q+qb. Then all the regular radial solutions are G.S.
In Section 6 we study the radial solutions of the well known Hamiltonian system
corresponding to p=q=2<N, s=m=0, a>−2, which is variational. In the case a=b=0, a main conjecture was made in :
System (SH) with a=b=0 admits no (radial or nonradial) G.S. if and only if (δ,μ) is under the hyperbola of equation
The question is still open; it was solved in the radial case in , , then partially in , , and up to the dimension N=4 in , see references therein. Here we find again and extend to the case a,b=0 some results of relative to the G.S., with a shorter proof. We also give an existence result for the Dirichlet problem improving a result of .
Let H0 be the critical hyperbola in the plane (δ,μ) defined by
(i) System (SH) admits a (unique) radial G.S. if and only if (δ,μ) is above H0 or on H0.
(ii) The radial Dirichlet problem in a ball has a solution if and only if (δ,μ) is under H0.
(iii) On H0 the G.S. has the following behaviour at ∞: assuming for example δ>N−2N+a, then limr→∞rN−2u(r)=α>0, and
Our proofs use a Pohozaev type function; in terms of the new variables X,Y,Z,W, it contains a quadratic factor
As observed in () the G.S. can present a non-symmetric behaviour. This non-symmetry phenomena has to be taken in account for solving conjecture (1.3).
In Section 7 we consider the radial solutions of a nonvariational system:
where p=q=2<N, a=b>−2 and m=s>0. For small s it appears as a perturbation of system (SH). In the litterature very few results are known for such nonvariational systems. Our main result in this Section is a new result of existence of G.S. valid for any s:
Consider the system (SN), with N>2, a>−2. We define a curve Cs in the plane (δ,μ) by
located under the hyperbola defined by (1.6). If (δ,μ) is above Cs, system (SN) admits a G.S.
This result is obtained by constructing a new type of energy function which contains two terms in X2,Y2 :
In Section 8 we consider the radial solutions of the potential system
where δ=m+1,μ=s+1 and a=b, which is variational, see , . Using system (M) we deduce new results of existence:
Let D be the critical line in the plane (m,s) defined by
(i) System (SP) admits a radial G.S. if and only if (m,s) is above or on D.\vskip6.0ptplus2.0ptminus2.0pt
(ii) On D the G.S. has the following behaviour: suppose for example q≦p. Let λ∗=N+a−(s+1)p−1N−p−mq−1N−q. Then limr→∞rp−1N−pu(r)=α>0, and
In particular (1.10) holds if p=q, or q≦m+1.
(iii) The radial Dirichlet problem in a ball has a solution if and only if (m,s) is under D.
In that case we use the following energy function, which deserves to be compared with the one of Section 6 , since it has also a quadratic factor:
Finally in Section 9 we deduce a nonradial result for the potential system in the case of two Laplacians:
Our result proves a conjecture proposed in , showing that in the subcritical case there exists no G.S.:
then system (SL) admits no (radial or nonradial) G.S.
Our proof uses the estimates of , which up to now are the only extensions of the results of to systems. It is based on the construction of a nonradial Pohozaev function extending the radial one given at (1.13) for p=q=2, different from the energy function used in .
The case of the system (G) with absorption terms (ε1=ε2=−1) or mixed terms (ε1=−ε2=1), studied in , , will be the subject of a second article. Our approach also extends to a system with gradient terms,
Acknoledgment The authors are grateful to Raul Manasevich whose stimulating discussions encouraged us to study system (G).
Reduction to a quadratic system
Here we consider the radial positive solutions r↦(u(r),v(r)) of system (G) on any interval (R1,R2), that means
Near any point r where u(r)=0,u′(r)=0 and v(r)=0, v′(r)=0 we define
This sytem is quadratic, and moreover a very simple one, of Kolmogorov type: it admits four invariant hyperplanes: X=0,Y=0,Z=0,W=0. As a first consequence all the fixed points of the system are explicite. The trajectories located on these hyperplanes do not correspond to a solution of system (G); they will be called nonadmissible.
We suppose that the discriminant of the system
Then one can express u,v in terms of the new variables:
Since system (M) is autonomous, each admissible trajectory T in the phase space corresponds to a solution (u,v) of system (G) unique up to a scaling: if (u,v) is a solution, then for any θ>0, r↦(θγu(θr),θξv(θr)) is also a solution.
2 Fixed points of system (M)
System (M) has at most 16 fixed points. The main fixed point is
corresponding to the particular solutions
when they exist, depending on ε1,ε2. The values of A and B are given by
3 First comments
This formulation allows to treat more general systems with signed solutions by reducing the study on intervals where u and v are nonzero. Consider for example the problem
0n any interval where uv>0, the couple (∣u∣,∣v∣) is a solution of (G). On any interval where u>0>v, the couple (u,∣v∣) satisfies (G) with (ε1,ε2) replaced by (−ε1,−ε2).
There is another way for reducing the system to an autonomous form: setting
It extends the well-known transformation of Emden-Fowler in the scalar case when p=2, used also in for general p, see Section 3. When p=q=2 we obtain
which was extended to the nonradial case and used for Hamiltonian systems (s=m=0), with source terms in (ε1=ε2=1) and absorption terms in (ε1=ε2=−1). Our system is more adequated for finding the possible behaviours: unlike system (2.8)it has no singularity, since it is polynomial, also its fixed points at ∞ are not concerned when we deal with solutions u,v>0.
It has been used in for studying the Hamiltonian system (SH). Even in that case we will show at Section 6 that system (M) is more performant, because it is of Kolmogorov type.
Assume p=q and a=b. Setting t=kt^ and (X^,Y^,Z^,W^)=k(X,Y,Z,W), we obtain a system of the same type with N,a replaced by N^,a^, with
From (2.3) and (2.4), we get γ^/γ=ξ^/ξ=k=p+ap+a^. There is one free parameter. In particular
1) we get a system without power (a^=0), by taking
2) we get a system in dimension N^=1, by taking
The scalar case
We first study the signed solutions of two scalar equations with source or absorption:
with ε=±1, 1<p<N, Q=p−1 and p+a>0.\vskip6.0ptplus2.0ptminus2.0pt
We cannot quote all the huge litterature concerning its solutions, supersolutions or subsolutions, from the first studies of Emden and Fowler for p=2, recalled in ; see for example and , for any p>1, and references therein. We set
From Remark 2.4 we could reduce the system to the case a=0, in dimension N^=p(N+a)/(p+a). However we do not make the reduction, because we are motivated by the study of system (G), and also by the nonradial case.
Near any point r where u(r)=0 (positive or negative), and u′(r)=0 setting
with t=lnr, we get a 2-dimensional system
and then ∣u∣=r−γ(∣Z∣∣X∣p−1)1/(Q+1−p). This change of unknown was mentioned in in the case p=2,ε=1 and N=3. It is remarkable that system (Mscal) is the same for the two cases ε=±1, the only difference is that X(t)Z(t) has the sign of ε:\vskip6.0ptplus2.0ptminus2.0pt
The equation with source (ε=1) is associated to the 1st and 3rd quadrant. It is well known that any local solution has a unique extension on (0,∞). The 1st quadrant corresponds to the intervals where ∣u∣ is decreasing, which can be of the following types (0,∞),(0,R2),(R1,∞),(R1,R2), 0<R1<R2<∞. The 3rd quadrant corresponds to the intervals (R1,R2) where ∣u∣ is increasing.
The equation with absorption (ε=−1) is associated to the 2nd and 4th quadrant. It is known that the solutions have at most one zero, and their maximal interval of existence can be (0,R2),(R1,∞),(R1,R2) or (0,∞). The 2nd quadrant corresponds to the intervals (R1,R2) where ∣u∣ is increasing. The 4th quadrant corresponds to the intervals (0,R2) or (R1,∞) where ∣u∣ is decreasing.
In particular M0 is in the 1st quadrant whenever γ<p−1N−p, equivalently Q>Q1, and in the 4th quadrant whenever Q<Q1. It corresponds to the solution
where A=(εγp−1(N−p−γ(p−1)))1/(Q−p+1).
2 Local study
We examine the fixed points, where for simplicity we suppose Q=Q1, and we deduce local results for the two equations:
∙ Point (0,0): it is a saddle point, and the only trajectories that converge to (0,0) are the separatrix, contained in the lines X=0,Y=0, they are not admissible.
∙ Point N0: it is a saddle point: the eigenvalues of the linearized system are p−1p and −N. the trajectories ending at N0 at ∞ are located on the set Z=0, then there exists a unique trajectory starting from −∞ at N0; it corresponds to the local existence and uniqueness of regular solutions, which we obtain easily.
∙ Point A0: the eigenvalues of the linearized system are p−1N−p and p−1N−p(Q1−Q). If Q<Q1, A0 is an unstable node. There is an infinity of trajectories starting from A0 at −∞; then X(t) converges exponentially to p−1N−p, thus limr→0 rp−1N−pu=α>0. The corresponding solutions u satisfy the equation with a Dirac mass at 0. There exists no solution converging to A0 at ∞. If Q>Q1, A0 is a saddle point; the trajectories starting from A0 at −∞ are not admissible; there is a trajectory converging at ∞, and then limr→∞ rp−1N−pu=α>0.
∙ Point M0: the eigenvalues λ1,λ2 of the linearized system are the roots of equation
For ε=1, M0 is defined for Q>Q1; the eigenvalues are imaginary when X0=Z0, equivalently γ=(N−p)/p, Q=Q2. When Q<Q2, M0 is a source, there exists an infinity of trajectories such that limr→0rγu=A. When Q>Q2, M0 is a sink, and there exists an infinity of trajectories such that limr→∞rγu=A. When Q=Q2, M0 is a center, from For ε=−1, M0 is defined for Q<Q1, it is a saddle-point. There exist two trajectories T1,T1′ converging at ∞, such that limr→∞rγu=A and two trajectories T2, T2′, converging at 0, such that limr→0rγu=A.
3 Global study
System (Mscal) has no limit cycle for Q=Q2. It is evident when ε=−1. When ε=1, as noticed in , it comes from the Dulac’s theorem: setting Xt=f(X,Z),Zt=g(X,Z), and
then M=KB with K=(Q2−Q)γ(N−p)/p, thus M has no zero for Q=Q2.
Then from the Poincaré-Bendixson theorem, any trajectory bounded near ±∞ converges to one of the fixed points. Thus we find again global results:
∙ Equation with source (ε=1). If Q<Q1, there is no G.S.: the regular trajectory T issued from N0 cannot converge to a fixed point. Then X tends to ∞ and the regular solutions u are changing sign, there is no G.S..
If Q1<Q<Q2, the regular trajectory T cannot converge to M0; if it converges to A0, it is the unique trajectory converging to A0; the set delimitated by T and X=0,Z=0 is invariant, thus it contains M0; and the trajectories issued from M0 cannot converge to a fixed point, which is contradictory. then again X tends to ∞ on T and the regular solutions u are changing sign.. The trajectory ending at A0 converges to M0 at −∞; then there exist solutions u>0 such that limr→0rγu=A and limr→0 rp−1N−pu=α>0.
If Q>Q2, the only singular solution at is u0, and the regular solutions are G.S., with limr→∞rγu=A. Indeed M0 is a sink; the trajectory ending at A0 cannot converge to N0 at −∞, thus X converges to 0, and Z converges to ∞, then u cannot be positive on (0,∞).The trajectory issued from N0 converges to M0.
∙ Equation with absorption (ε=−1). If Q>Q1, all the solutions u defined near are regular; indeed the trajectories cannot converge to a fixed point.
If Q<Q1, we find again easily a well known result: there exists a positive solution u1, unique up to a scaling, such that limr→0rp−1N−pu1=α>0, and limr→∞rγu1=A. Indeed the eigenvalues at M0 satisfy λ1<0<λ2. There are two trajectories T1,T1′ associated to λ1, and the eigenvector (X0+∣λ1∣,−p−1X0). The trajectory T1 satisfies Xt>0>Zt near ∞, and X>p−1N−p, since Z0<0, and X cannot take the value p−1N−p because at such a point Xt<0; then p−1N−p<X<X0 and Xt>0 as long as it is defined; similarly Z0<Z<0 and Zt<0; then T1 converge to a fixed point, necessarily A0, showing the existence of u1. The trajectory T1′ corresponds to solutions u such that limr→∞rγu=A and limr→Ru=∞ for some R>0. There are two trajectories T2, T2′, associated to λ2, defining solutions u such that limr→0rγu=A and changing sign, or with a minimum point and limr→Ru=∞ for some R>0. The regular trajectory starts from N0 in the 2nd quadrant, it cannot converge to a fixed point, then limr→Ru=∞ for some R>0.
∙ Critical case Q=Q2: it is remarkable that system (Mscal) admits another invariant line, namely A0N0, given by
It precisely corresponds to well-known solutions of the two equations
where K2=cQ−p+1(N+a)−1((N−p)/(p−1))1−p.
The global results have been obtained without using energy functions. The study of was based on a reduction of type of Remark 2.2, using an energy function linked to the new unknown. Other energy functions are well-known, of Pohozaev type:
with σ=pN−p, satisfying Fσ′(r)=rN−1+a(Q+1N+a−pN−p)∣u∣Q+1, or with σ=Q+1N+a, leading to Fσ′(r)=rN−1(Q+1N+a−pN−p)∣u′∣p. In the critical case Q=Q2, all these functions coincide and they are constant, in other words system (Mscal) has a first integral. We find again the line (3.3): the G.S. are the functions of energy 0.
Local study of system (S)𝑆(S)
In all the sequel we study the system with source terms: (G)=(S). Assumption (1.5) is the most interesting case for studying the existence of the G.S.
We first study the local behaviour of nonnegative solutions (u,v) defined near or near ∞. It is well known that any solution (u,v) positive on some interval (0,R) satisfies u′,v′<0 on (0,R). Any solution (u,v) positive on (R,∞), satisfies u′,v′<0 near ∞. We are reduced to study the system in the region R where X,Y,Z,W>0, and consider the fixed points in Rˉ. Then
and (X,Y,Z,W) is a solution of system (M) in R if and only if (u,v) defined by
is a positive solution with u′,v′<0. Among the fixed points, the point M0 defined at (2.6) lies in R if and only if
The local study of the system near M0 appears to be tricky, see Remark 4.2. A main difference with the scalar case is that there always exist a trajectory converging to M0 at ±∞:
(Point M0) Assume that (4.3) holds. Then there exist trajectories converging to M0 as r→ ∞, and then solutions (u,v) being defined near ∞, such that
There exist trajectories converging to M0 as r→0, and thus solutions (u,v) being defined near such that
The eigenvalues are the roots λ1,λ2,λ3,λ4, of equation
From (1.5) we have H>0, then λ1λ2λ3λ4<0. There exist two real roots λ3<0<λ4, and two roots λ1,λ2, real with λ1λ2>0, or complex. Therefore there exists at least one trajectory converging to M0 at ∞ and another one at −∞. Then (4.4) and (4.5) follow from (4.2). Moreover the convergence is monotone for X,Y,Z,W.
There exist imaginary roots, namely Reλ1=Reλ2=0, if and only if there exists c>0 such that f(ci)=0, that means Ec2−G=0, and c4−Fc2−H=0, equivalently
(i) either Z0=X0 and W0=Y0, i.e.
in other words (δ,μ)=(p(N−q)q(N(p−1−s)+p(1−s+a)),q(N−p)p(N(q−1−m)+q(1−m+b))).\vskip6.0ptplus2.0ptminus2.0pt
(ii) or (p−1−s)(q−1−m)>0 and (γ,ξ) satisfies
This gives in general 0,1 or 2 values of (γ,ξ). For example, in the case q−1m=p−1s=1, and (p−2)(q−2)>0 and N>p+q−2pq−p−q we find another value, different from the one of (4.7) for p=q:
Moreover the computation shows that it can exist imaginary roots with E,G=0.
In the case p=q=2 and s=m the situation is interesting:
Assume p=q=2 and s=m<N−2N, with δ+1−s>0,μ+1−s>0. In the plane (δ,μ), let Hs be the hyperbola of equation
equivalently γ+ξ=N−2. Then Hs is contained in the set of points (δ,μ) for which the linearized system at M0 has imaginary roots, and equal when s≦1.
Proof. The assumption D>0 imply δ+1−s>0 and μ+1−s>0; condition E=G=0 implies s<N/(N−2) and reduces to condition (4.10). Moreover if s≦1, all the cases are covered. Indeed 2G=(s−1)E[Y0Z0+X0W0], hence GE≦0.\vskip6.0ptplus2.0ptminus2.0pt
Next we give a summary of the local existence results obtained by linearization around the other fixed points of system (M) proved in Section 10. Recall that t→−∞ as r→0 and t→∞ as r→∞.
(Point N0) A solution (u,v) is regular if and only if the corresponding trajectory converges to N0 when r→0. For any u0,v0>0, there exists a unique local regular solution (u,v) with initial data (u0,v0).\vskip6.0ptplus2.0ptminus2.0pt
(Point A0) If sp−1N−p+δq−1N−q>N+a and μp−1N−p+mq−1N−q>N+b, there exist (admissible) trajectories converging to A0 when r→∞. If sp−1N−p+δq−1N−q<N+a and μp−1N−p+mq−1N−q<N+b, the same happens when r→0. In any case
If sp−1N−p+δq−1N−q<N+a or μp−1N−p+mq−1N−q<N+b, there exists no trajectory converging when r→∞; if sp−1N−p+δq−1N−q>N+a or μp−1N−p+mq−1N−q>N+b, there exists no trajectory converging when r→0.
(Point P0) 1) Assume that q>m+1 and q+b<p−1N−pμ<N+b−mq−1N−q. If γ<p−1N−p there exist trajectories converging to P0 when r→∞ (and not when r→0). If γ>p−1N−p the same happens when r→0 (and not when r→∞).
2) Assume that q<m+1 and q+b>p−1N−pμ>N+b−mq−1N−q and qp−1N−pμ+m(N−q)=N(q−1)+(b+1)q. If γ<p−1N−p there exist trajectories converging to P0 when r→0 (and not when r→∞). If γ>p−1N−p there exist trajectories converging when r→ ∞ (and not when when r→ 0).
In any case, setting κ=q−1−m1(p−1N−pμ−(q+b)), there holds
This result improves the results of existence obtained by the fixed point theorem in in the case of system (RP) with p=q=2,a=0,N=3, 2s+m=3. The proof is quite simpler..
(Point I0) If p−1N−ps>N+a and q−1N−qμ>N+b, there exist trajectories converging to I0 when r→∞, and then
For any s,m≧0, there is no trajectory converging when r→ 0.\vskip6.0ptplus2.0ptminus2.0pt
(Point G0) Suppose p−1N−pμ<N+b. If q+b<p−1N−pμ and N+a<p−1N−ps, there exist trajectories converging to G0 when r→ ∞. If p−1N−pμ<q+b and p−1N−ps<N+a, the same happens when r→0. In any case
(Point C0) Suppose N+b<q−1N−qm (hence q<m+1) with m=N−qN(q−1)+(b+1)q, and δ>q+b(N+a)(m+1−q). Then there exist trajectories converging to C0 when r→ ∞ (and not when r→ 0), and then
(Point R0) Assume that N+b<q−1N−qm (hence q<m+1) with m=N−qN(q−1)+b+bq, and δ<q+b(N+a)(m+1−q). If q+b(p+a)(m+1−q)<δ, there exist trajectories converging to R0 when r→∞ (and not when r→0). If δ<q+b(p+a)(m+1−q), there exist trajectories converging when r→0 (and not when r→∞), and then (4.15) holds again.
We obtain similar results of convergence to the points Q0,J0,H0,D0,S0 by exchanging p,δ,s,a and q,μ,m,b. There is no admissible trajectory converginf to 0,K0,L0, see Remark 10.1.
Global results for system (S)𝑆(S)
We are concerned by the existence of global positive solutions. First we find again easily some known results by using our dynamical approach.
Assume that system (S) admits a positive solution (u,v) in (0,∞). Then the corresponding solution (X,Y,Z,W) of system (M) stays in the box
where C1=(N+a)(p−1N−p)p−1,C2=(N+b)(q−1N−q)q−1, and
As a consequence if s≦p−1 or m≦q−1, we have
with K1=C1(q−1−m)/DC2δ/D,K2=C1μ/DC2(p−1−s)/D.
To any (x,y)∈B(0,ρ)\{0} we associate the unique trajectory Tx,y in Vu going through this point. If T∗ is the maximal interval of existence of a solution on Tx,y, then limt→T∗(X(t)+Y(t))=∞. Indeed Z, and W satisfy 0<Z<N+a, 0<W<N+b as long as the solution exists, because at a time T where Z(T)=N+a, we have Zt<0. If there exists a first time T such that X(T)=p−1N−p or Y(T)=q−1N−q, then T<T∗. We consider the open rectangle N of submits
Let U={(x,y)∈B(0,ρ):x,y>0}; then U=S1∪S2∪S3∪S, where
Any element of S defines a G.S. Assume s<N−pN(p−1)+p+pa. Let us show that S1 is nonempty. Consider the trajectory Txˉ,0 on Vu associated to (xˉ,0), with xˉ∈(0,ρ), going through Mˉ=(xˉ,0, φ(xˉ,0),ψ(xˉ,0)); it is not admissible for our problem, since it is in the hyperplane Y=0: it satisfies the system
which is not completely coupled. The two equations in X,Z corresponds to the equation
The regular solutions of (5.6) are changing sign, since s is subcritical, see Section 3. Consider the solution (Xˉ,Yˉ,Zˉ,Wˉ) of system (M), of trajectory Txˉ,0, going through Mˉ at time 0; it satisfies Yˉ=0, and Xˉ(t)>0, Zˉ(t)>0 tend to ∞ in finite time T∗, then for any given C≧p−1N−p, there exist a first time T<T∗ such that Xˉ(T)=C, and Yˉ(T)=0. We have limt→−∞Wˉ=N+b, and necessarily 0<Wˉ<N+b, in particular 0<Wˉ(T)<N+b; and Wˉt is bounded on (−∞,T∗), then Wˉ has a finite limit at T^{\ast}.\ The field at time T is transverse to the hyperplane X=p−1N−p: we have Xˉt≧Cp−1Z(T)>0, since Zˉ(T)>0. From the continuous dependance of the initial data at time 0, for any ε>0, there exists η>0 such that for any (x,y)∈B((xˉ,0),η) and for any (X,Y,Z,W) on Tx,y, there exists a first time Tε such that X(Tε)=C, and ∣Y(t)∣≦ε for any t≦Tε, in particular for any (x,y) ∈B((xˉ,0),η) with y>0, and then 0<Y(t)≦ε for any t≦Tε. Let us take C=p−1N−p. Then (x,y)∈ S1. The same arguments imply that S1 is open. Similarly assuming m<N−qN(q−1)+q+qb implies that S2 is nonempty and open. By connexity S is empty if and only if S3 is nonempty.
(ii) Here the difficulty is due to the fact that the zeros of u,v correspond to infinite limits for X,Y, and then the argument of continuous dependance is no more available. We can write U=M1∪M2∪M3∪S, where
In other words, M1 is the set of (x,y)∈U such that for any (X,Y,Z,W) on Tx,y, there exists a T∗ such that limt→T∗X(t))=∞, and Y(t) stays bounded on (−∞,T∗), that means the set of (x,y)∈U such that for any solution (u,v) corresponding to Tx,y, u vanishes before v; similarly for M2. Otherwise M3 is the set of (x,y)∈U such that there exists a T∗ such that limt→T∗X(t)=limt→T∗Y(t)=∞, that means (u,v) vanish at the same R∗=eT∗. In that case, from the Höpf Lemma, limr→R(r−R)uu′=1, then limt→T∗YX=1.
We are lead to show that M1 is nonempty and open for s<N−pN(p−1)+p+pa. We consider again the trajectory Tˉ and take C large enough: C=2(p−1N−p+q−1N+∣b∣). Let ε∈(0,2C). For any (x,y)∈B((xˉ,0),η) with y>0, and any (X,Y,Z,W) on Tx,y, there is a first time Tε such that X(Tε)=C, and 0<Y(t)≦ε for any t≦Tε. And X is increasing and Xt≧X(X−C), thus there exists T∗ such that limt→T∗X(t)=∞. Setting φ=X/Y, we find
then φt(Tε)>0. Let θ=sup{t>Tε:φt>0}; suppose that θ is finite; then φ(θ)>φ(Tε)=C/ε>2 and X(θ)≦Y(θ)+C<X(θ)/2+C, which is contradictory. Then φ is increasing up to T∗; if limt→T∗Y(t)=∞, then limt→T∗φ=1, which is impossible. Then (x,y)∈M1, thus M1 is nonempty. In the same way M1 is open. Indeed for any (xˉ,yˉ)∈M1 there exists M>0 such that 0<Yˉ(t)≦M/2 on Txˉ,yˉ. To conclude we argue as above, with (xˉ,0) replaced by (xˉ,yˉ), and C replaced by C+M.
Proof of Proposition 1.2. Assume s≧N−pN(p−1)+p+pa. Consider the Pohozaev type function
From our assumption, F is decreasing, and Z>0, thus X<p−1N−p. Then S1,S3 are empty. If moreover m≧N−qN(q−1)+q+qb then S2 is empty, therefore S=U.
Let us only assume that s≧N−pN(p−1)+p+pa. If one function has a first zero, it is v. Indeed if there exists a first value R where u(R)=0, and v(r)>0 on [0,R), then F(R)=p′RN∣u′(R)∣p>0.
As a first consequence we obtain existence results for the Dirichlet problem. It solves an open problem in the case s>p−1 or m>q−1, and extends some former results of and . Our proof, based on the shooting method differs from the proof of , based on degree theory and blow-up technique. Our results extend the ones of [3, Theorem 2.2] relative to the case p=q=2, obtained by studying the equation satisfied by a suitable function of u,v.
system (S) admits no G.S. and then there is a radial solution of the Dirichlet problem in a ball in any of the following cases:
(i) p<s+1,q<m+1, and min(sp−1N−p+q−1N−qδ−(N+a),p−1N−pμ+mq−1N−q−(N+b))≦0;
(ii) p<s+1, q>m+1 and sp−1N−p+q−1N−qδ−(N+a)≦0 or γ−p−1N−p>0;
(iii) p>s+1,q>m+1 and max(γ−p−1N−p,ξ−q−1N−q)≧0;
(iv) p≧s+1,q≧m+1 and max(γ−p−1N−p,ξ−q−1N−q)>0.
Proof. From Theorem 1.1, we are reduced to prove the nonexistence of G.S.
(i) Assume p<s+1, and sp−1N−p+q−1N−qδ−(N+a)<0. We have −Δpu≧Cra−q−1N−qδus for large r. From [6, Theorem 3.1], we find u=O(r−(p+a−q−1N−qδ)/(s+1−p)), and then sp−1N−p+q−1N−qδ−(N+a)≧0, from (5.4), which contradicts our assumption. In case of equality, we find −Δpu≧Cr−N for large r, which is impossible. Then there exists no G.S. This improves ythe result of where the minimum is replaced by a maximum.
(ii) Assume p<s+1, q>m+1 and γ−p−1N−p>0; then u=O(r−γ), which contradicts (5.4). If γ−p−1N−p=0, then limrp−1N−pu=α>0, and ξ>q−1N−q. Hence −Δqv≧Crb−p−1N−pμvm for large r, then v≧Cr(q+b−p−1N−pδ)/(q−1−m)=Cr−ξ. There exists C1>0 such that C1≦ rξv≦2C1 for large r, from [6, Theorem 3.1] and (5.5), then −Δpu≧Cr−N for some C>0, which is again contradictory.
(iii) (iv) The nonexistence of G.S is obtained by extension of the proof of to the case a,b=0. Moreover (iii) implies the nonexistence of positive solution (u,v), radial or not, in any exterior domain (R,∞)×(R,∞),R>0 from .
Assume (4.3) with p=q=2. If δ+s≧N−2N+2+2a and μ+m≧N−2N+2+2b, then system (S) admits a G.S.
Proof. It was shown in , by the moving spheres method that the Dirichlet problem has no radial or nonradial solution. Then Theorem 1.1 applies again.
We aso extend and improve a result of nonexistence of for the case p=q=2,a=0,s>1:
Assume s+1>p or γ>pN−p, and
Then system (S) admits no G.S. and then there is a solution of the Dirichlet problem. The same happens by exchanging p,s,δ,a,γ with q,m,μ,b,ξ.
Proof. Consider the function F defined at (5.7). Suppose that there exists a G.S. Then from (5.1) and (5.9) we find
From (5.8), we deduce that F is nondecreasing. First suppose s+1>p. From (5.3) and (5.4),it follows that u=O(r−k) at ∞, with k=(p+a−δq−1N−q)/(s−p+1). In turn rN−pup=O(r(N−p)−kp)=o(1) from (5.9), then F(r)=o(1) near ∞. Next assume s+1≦p and γ>pN−p. Then rN−pup=O(rN−p−γp), hence F(r)=o(1) near ∞. In any case we get a contradiction.
The Hamiltonian system
where p=q=2<N, s=m=0, a>b>−2, and D=δμ−1>0. For this case we find
The particular solution (u0(r),v0(r))=(Ar−γ,Br−ξ) exists for 0<γ<N−2, 0<ξ<N−2. Here X,Y,Z,W are defined by
This system has a Pohozaev type function, well known at least in the case a=b=0, given at (1.7):
It can also be found by a direct computation, and EH satisfies
We define the critical case as the case where (δ,μ) lie on the hyperbola H0 given by
In this case γ= μ+1N+b,ξ=δ+1N+a, and EH′(r)≡0. It corresponds to the existence of a first integral of system (M), which can also be expressed in the variables U=rγu,V=rξv of Remark 2.2:
The supercritical case is defined as the case where (δ,μ) is above H, equivalently γ+ξ<N−2 and the subcritical case corresponds to (δ,μ) under H.
The energy EH,0 of the particular solution associated to M0 is always negative, given by EH,0=−(μ+1)(δ+1)DrN−2−γ−ξX0Y0(Z0X0)(μ+1)/D(W0Y0)(δ+1)/D.
Next consider the critical and supercritical cases. When a=b=0, there exists no solution if Ω is starshaped, see . Here we show the existence of G.S. for general a,b. The existence in the critical case with a=b=0 was first obtained in , then in the supercritical case in , and uniqueness was proved in , . The proofs of are quite long due to regularity problems, when δ or μ<1, which play no role in our quadratic system.
The particular case δ=μ and a=b is easy to treat. Indeed in that case u=v is a solution of the scalar equation Δu+∣x∣a∣u∣δ−1u=0, for which the critical case is given by δ=(N+2+2a)/(N−2). Moreover if system (SH) admits a G.S., or a solution of the Dirichlet problem in a ball, it satisfies u=v, from . Then we are completely reduced to the scalar case. In particular, in the critical case, the G.S. are given explicitely by: u=v=c(K+r(2+a))(2−N)/(2+a), where K=cδ−1/(N+a)(N−2); in other words they satisfy (3.3) with X=Y and Z=W, i.e.
Near ∞, the G.S. is (obviously) symmetrical: it joins the points N0 and A0.
Consider the case δ=1, a=b=0, which is the case of the biharmonic equation
Recall that it is the only case where the conjecture (1.3) was completely proved by Lin in . In the critical case μ=(N+4)/(N−4), the G.S. are also given explicitely, see :
They satisfy the relation XY=2N−ZX+2NN−4(N−W)Y, and moreover we find that they are on an hyperplane, of equation
Observe also that the G.S. is not symmetrical near ∞: u behaves like r4−N and v behaves like r2−N. The trajectory in the phase space joins the points N0 and Q0=(N−4,N−2,2,0).
Proof of Theorem 1.4. 1) Existence or nonexistence results:
∙ In the supercritical or critical case we apply any of the two conditions of Theorem 1.1: Here EH(0)=0, and EH is nonincreasing; there does not exist solutions of (M) such that at some time T, X(T)=Y(T)=N−2, because at the time T,
since W>0,Z>0, thus EH(eT)>0, which is impossible. Otherwise there exists no solution of the Dirichlet problem in a ball B(0,R), because EH(R)=RNu′(R)v′(R)>0 from the Höpf Lemma. Then there exists a G.S. The uniqueness is proved in .
∙ In the subcritical case there is no radial G.S.: it would satisfy EH(0)=0, and EH is nondecreasing, EH(r)≦CrN−2−γ−ξ from (5.1), and γ+ξ>(N−2), then limr→∞EH(r)=0. From Theorem 1.1, there exists a solution of the Dirichlet problem.
2) Behaviour of the G.S. in the critical case.
It is easy to see that the condition (1.6) implies μ>N−22+b and δ>N−22+a, and that δ≦N−2N+a and μ≦N−2N+b cannot hold simultaneously. One can suppose that δ>N−2N+a. Let T be the unique trajectory of the G.S.. Then EH(0)=0, thus T lies on the variety V of energy , defined by
From (5.2) T starts from the point N0, and from (5.1) T stays in
(i) Suppose that T converges to a fixed point of the system in Rˉ. Then the only possible points are A0,P0,Q0 which are effectively on V. Indeed I0, J0,G0,H0∈V. But Q0=((N−2)δ−(2+a),N−2,N+a−(N−2)δ,0)∈Rˉ, since δ>N−2N+a. And P0∈Rˉ if and only if μ≦N−2N+b.
If μ>N−2N+b, then T converges to A0. If μ<N−2N+b, no trajectory converges to A0, from Proposition 4.5, thus T converges to P0. If μ=N−2N+b the convergence is exponential, thus the behaviour of u,v follows. If μ=N−2N+b, then T converges converges to A0,=P0; the eigenvalues given by (10.3) satisfy λ1=λ2=N−2, λ3=N+a−δ(N−2)<0 and λ4=0; the projection of the trajectory on the hyperplane Y=N−2 satisfies the system
which presents a saddle point at (N−2,0), thus the convergence of X and Z is exponential, in particular we deduce the behaviour of u. The trajectory enters by the central variety of dimension 1, and by computation we deduce that Y−(N−2)=−t−1+O(t−2+ε) near ∞, and the behaviour of v follows.
(ii) Let us show that T converges to a fixed point. We eliminate W from (6.2) and we get a still quadratic system in (X,Y,Z):
We have Xt≧0, and Yt≧0 near −∞. Suppose that X has a maximum at t0 followed by a minimum at t1. At these times Xtt=XZt , thus we find Zt(t0)<0<Zt(t1). There exists t2∈(t0,t1) such that Zt(t2)=0, and t2 is a minimum. At this time Z(t2)=N+a−δY(t2), Ztt(t2)=−δ(ZYt)(t2) hence
and Xt(t2)<0, hence (X+Z)(t2)<N−2, and
but X(t2)<X(t0)<δ(N−2)−(2+a), which is contradictory. Then X has at most one extremum, which is a maximum, and then it has a limit in (0,N−2] at ∞. In the same way, by symmetry, Y has at most one extremum, which is a maximum, and has a limit in (0,N−2] at ∞. Then Z has at most one extremum, which is a minimum. Indeed at the points where Zt=0, −Ztt has the sign of Yt. Thus Z has a limit in [0,N+a), similarly W has a limit in [0,N+b).\vskip6.0ptplus2.0ptminus2.0pt
Open problems: 1) For the case δ=μ, in the critical case it is well known that there exist solutions (u,v) of system (SH) of the form (u,u), such that rγu is periodic in t=lnr. They correspond to a periodic trajectory for the scalar system (Mscal) with p=2, and it admits an infinity of such trajectories. If δ=μ, does there exist solutions (u,v) such that (rγu,rξv) is periodic in t, in other words a periodic trajectory for system (MH)?\vskip6.0ptplus2.0ptminus2.0pt
2) In the supercritical case, we cannot prove that the regular trajectory T converges to M0, that means limr→∞rγu=A, limr→∞rξv=B. Here EH(0)=0, EH is nonincreasing, then EH is negative. The only fixed points of negative energy are M0, G0,H0, but a G.S. satisfies (5.5), then it tends to (0,0) at ∞, hence T cannot converge to G0 or H0 from Proposition 4.9; but we cannot prove that T converges to some fixed point.
A nonvariational system
Here we consider system (S) with p=q=2,a=b and s=m=0.
where D=δμ−(1−s)2 >0. In order to prove Theorem we can reduce the system to the case a=0, by changing N into N^=2+a2(N+a), from Remark 2.4; thus we assume a=0 in this Section. Here
We have chosen this system because it is not variational, and different hyperbolas in the plane (δ,μ):
∙ the hyperbola Hs for which the linearized system at M0 has two imaginary roots, given by
whenever s<N−2N, and δ+1−s>0, μ+1−s>0, from Proposition 4.3;
∙ the hyperbola H0 defined by
it was shown in that above H0 there exists no solution of the Dirichlet problem;
∙ an hyperbola Zs introduced in in case s<N−2N, and min(δ,μ)>∣s−1∣:
∙ we introduce the new curve Cs defined for any s>0 by
We first extend and complete the results of and :
(i) Assume s<N−2N, and δ+1−s>0, μ+1−s>0. Under the hyperbola Zs, system (SN) admits no G.S., and then there is a solution of the Dirichlet problem in a ball.
(ii) Above H0 there exists no solution of the Dirichlet problem. Thus there exists a G.S.
Proof. (i) We consider an energy function with parameters α,β,σ,θ:
Taking α=μ+11,β=δ+11, we find
If there exists a G.S., from (5.1) it satisfies X,Y<N−2, hence
Taking θ=μ+1N−(N−2)s,σ=δ+1N−(N−2)s, we deduce that EN′>0 under Zs. Moreover Zs is under Hs, thus γ+ξ>N−2. Then EN(r)=O(rN−2−γ−ξ) tends to at ∞, which is contradictory.
(ii) Taking α=μ+11=Nθ,β=δ+11=Nσ, it comes from (7.6)
hence EN′<0 when (7.1) holds. At the value R where u(R)=v(R)=0, we find EN(R)=RNu′(R)v′(R)>0, which is a contradiction.
(i)When the four curves are simultaneously defined, they are in the following order, from below to above: Zs,Hs,Cs,H0. They intersect the diagonal δ=μ repectively for
(ii) For δ=μ, system (SN) has a G.S. for δ≧N−2N+2−s. Indeed it admits solutions of the form (U,U), where U is a solution of equation −ΔU=Us+δ. Suppose moreover s≦δ. If 1−s<δ<N−2N+2−s, then there exists no G.S; indeed all such solutions satisfy u=v, from [3, Remark 3.3]. Then the point Ps=(N−2N+2−s,N−2N+2−s) appears to be the separation point on the diagonal; notice that Ps∈Hs.
Next we prove our main existence result of existence of a G.S. valid without restrictions on s. The main idea is to introduce a new energy function Φ by adding two terms in X2 and Y2 to the energy EN defined at (7.3). It is constructed in order that Φ′ does not contain Y and Z. Then we consider the set of couples (X,Y) such that Φ′ has a sign, which is bounded by a cubic curve. When (δ,μ) is above Cs, the cubic curve is exterior to the square
We eliminate the terms in Z,W by taking j=α=μ+11, k=β=δ+11, θ=Nα, σ=Nβ. Then we get the function Φ defined at (1.9). Computing its derivative, we obtain after reduction
From Proposition 7.1 we can assume that N(α+β)−(N−2)>0. We determine the sign of B on the boundary ∂K of the square K defined at (7.8). We have B(0,Y)=αY2(N−2−Y)≧0 and B(X,0)=βX2(N−2−X)≧0. In particular B(0,0)=0. Otherwise B(N−2,Y)=YΘ(Y) with
On the interval [0,N−2], there holds Θ(Y)>Θ(0). By hypothesis, (δ,μ) is above Cs, or equivalently
consequently B(N−2,Y)≧0 and similarly B(X,N−2)≧0. Then B is nonnegative on ∂K and is zero at (0,0),(0,N−2),(N−2,0). The curve B(X,Y)=0 is a cubic with a double point at (0,0), which is isolated under the condition (7.9): B(X,Y)>0 near (0,0), except at this point. Then B(X,Y)>0 on the interior of K.\vskip6.0ptplus2.0ptminus2.0pt
Suppose that there exists a regular solution such that X(T)=Y(T)=N−2 at the same time T. Indeed up to this time (X,Y) stays in K, thus the function Φ is decreasing. We have Φ(0)=0, and at the value R=eT, we find
then Φ(R)>0, since min(α,β)<α+β. Therefore from Theorem 1.1, there exists a G.S.
We wonder if the limit curve for existence of G.S. would be Hs, or another curve Ls defined by
which ensures that Φ(R)>0, and also B(N−2,N−2)>0. This curve cuts the diagonal at the same point Ps =(N−2N+2−s,N−2N+2−s) as Hs. Notice that Ls is under Hs.
The radial potential system
Here we study the nonnegative radial solutions of system (SP):
with a=b,δ=m+1,μ=s+1, and we assume (1.5). System (M) becomes
For this system D, γ and ξ are defined by
thus γ and ξ are linked independtly of s,m by the relation
The system is variational. It admits an energy function, given at (1.13), which can also can be obtained by a direct computation in terms of X,Y,Z,W:
Thus we define a critical line D as the set of (δ,μ)=(m+1,s+1) such that
equivalent to pq(m+s+2+a)=ND, or N+a=(m+1)ξ+(s+1)γ, or
The subcritical case is given by the set of points under D, equivalently γ>pN−p, ξ>qN−q or (s+1)γ+(m+1)ξ>N+a. The supercritical case is the set of points above D.
The energy (EP)0 of the particular solution associated to M0 is still negative: (EP)0=−pqDrN+a−(γ+1)p[X0q(p−1)Y0p(q−1)Z0q(s+1)W0p(m+1)]1/D.
When p=q=2, another energy function can be associated to the transformation given at Remark 2.2: the system (2.9) relative to u(r)=r−γU(t),v(r)=r−ξV(t) is
It differs from EP, even in the critical case. This point is crucial for Section 9.
Proof of Theorem 1.6. 1) Existence or nonexistence results.
∙ In the supercritical or critical case there exists a G.S. From Theorem 1.1, if it were not true, then there would exist regular positive solutions of (MP) such that X(T)=p−1N−p and Y(T)=q−1N−q. It would satify EP≦0. Then at time T, we find EP(R)>0, from (8.2), since W>0,Z>0, which is impossible.
∙ In the subcritical case, there exists no G.S. Suppose that there exists one. Now EP is nondecreasing, hence EP≧0. Its trajectory stays in the box A defined by (5.1), thus it is bounded. If q≧m+1 and p≧s+1, we deduce that , EP(r)=O(rN−(γ+1)p) from (8.2), then EP tends to at ∞, which is contradictory. Next consider the general case. We have
then the same result holds. Consequently, from Theorem 1.1, there exists a solution of the Dirichlet problem
2) Behaviour of the G.S. in the critical case.
Let T be the trajectory of a G.S.; then EP(0)=0, thus T lies on the variety V of energy , also defined by
and Y<q−1N−q, hence (s+1)((p−1)X−(N−p))+pZ>0. From (5.2), T starts from N0=(0,0,N+a,N+b) and stays in A. Eliminating W in system (M), we find a system of three equations
(i) If T converges to a fixed point of the system in Rˉ, the possible points on V are A0,I0,J0, P0, Q0,G0,H0, R0,S0. The eigenvalues of the linearized problem at A0, given by (10.3) satisfy
since q≦p, and λ3<λ∗ for q=p, and λ3=λ∗<0 for q=p, from (8.3). Then A0 can be attained only when λ∗≦0, from Proposition 4.5. And P0 can be attained only if
from Proposition 4.6, because γ=pN−p<p−1N−p. We observe that the condition λ∗≧0 joint to (8.3) implies m+1<q<p and is equivalent to (8.7). Indeed it implies
hence m+1<q and (8.7) follows. By symmetry, Q0 cannot be attained since q≦p. Then A0 and P0 are incompatible, unless A0=P0, and P0 is not attained when p=q.\vskip6.0ptplus2.0ptminus2.0pt
(ii) Next we show that T converges to A0 or to P0. If t is an extremum value of Y, then
In the same way, if t is an extremum value of X, then p>s+1 and Yt(t)>0. Near −∞, there holds Xt,Yt≧0, and Zt,Wt≦0, from the linearization near N0. Suppose that X has a maximum at t0 followed by a minimum at t1. Then p>s+1, and Y is increasing on [t0,t1]. At time t0 we have (p−1)X(t0)+Z(t0)=N−p and Xtt(t0)≦0, thus Zt(t0)≦0; eliminating Z we deduce p+a+(p−1−s)X(t0)≦(m+1)Y(t0) and similarly (m+1)Y(t1)≦p+a+(p−1−s)X(t1); hence Y(t1)<Y(t0), which is a contradiction. Thus X and Y can have at most one maximum, and in turn they have no maximum point. Therefore X and Y are increasing, and they are bounded, hence X has a limit in (0,p−1N−p] and Y has a limit in (0,q−1N−q]. Then Z,W are decreasing; indeed at each time where Zt=0, we have Ztt=Z(−sXt−(m+1)Yt)<0, thus it is a maximum, which is impossible.
Then T converges to a fixed point of the system. Moreover, since X and Y are increasing, it cannot be one of the points I0,J0,G0,H0,R0,S0. It is necessarily A0 or P0. We distinguish two cases:
∙ Case q≦m+1. Then T converges to A0, and λ3,λ∗<0, then (1.10) follows.
which presents a saddle point at (p−1N−p,0), thus the convergence of X and Z is exponential, in particular we deduce the behaviour of u. The trajectory enters by the central variety of dimension 1, and by computation we deduce that Y=q−1N−q−q−1−m1t−1+O(t−2+ε), then (1.12) follows.
The nonradial potential system of Laplacians
Here we study the possibly nonradial solutions of the system of the preceeding Section when p=q=2:
with D=s+m. We solve an open problem of : the nonexistence of (radial or nonradial) G.S. under condition (1.14).
It was shown in in the case N+a≧4. The problem was open when N+a<4, and m+s+1>(N+a)/(N−2), which implies N<6. Indeed in the case m+s+1≦(N+a)/(N−2), there are no solutions of the exterior problem, see [6, Theorem 5.3]. Recall that the main result of is the obtention of apriori estimates near or ∞, by using the Bernstein technique introduced in and improved in . Then the behaviour of the solutions is obtained by using the change of unknown
extending the transformation of Remark 8.2 to the nonradial case (in fact here t is −t in ); it leads to the system
where ΔS is the Laplace-Beltrami operator on SN−1. A corresponding energy is introduced in :
extending (8.5) to the nonradial case; it satisfies
Here we construct another energy function, extending the Pohozaev function defined at (1.13) to the nonradial case.
Consider the function EL(r) defined by
and v satisfies symmetrical equations. Multiplying (9.2) by u and (9.1) by (s+1)e(N−2)tut, we obtain
and symmetrically for v, and adding the equalities we deduce
Proof of Theorem 1.7. Suppose that there exists a G.S. Since s+m+1<(N+2+2a)/(N−2) we deduce that EL and EL are increasing and start from 0, then they stay positive. From [7, Corollary 6.4], since s+m+1<(N+2)/(N−2), three eventualities can hold. The first one is that (u,v) behaves like the particular solution (u0,v0); it cannot hold because EL has a negative limit, see [7, Remark 6.3]. The second one is that (u,v) is regular at ∞, that means lim∣x∣→∞∣x∣N−2u=α>0, lim∣x∣→∞∣x∣N−2v=β>0; it cannot hold because limt→∞EL(t)=0. It remains a third eventuality: when for example m>(N+a)/(N−2), and (u,v) has the following behaviour at ∞:
The condition on m implies that N<4−a from assumption (1.14). In that case limt→∞EL(t)=∞, which gives no contradiction. Here we show that a contradiction holds by using the new energy function EL.\vskip6.0ptplus2.0ptminus2.0pt
First recall the proof of (9.3). Making the substitution
Then u,V are bounded near ∞, and from [7, Proposition 4.1] u converges exponentially to the constant α, more precisely
because k=(N−2)/2 and all the derivatives of V up to the order 2 are bounded. The equation in V takes the form
where φ and its derivatives up to the order 2 are O(e−(N−2)t). From [7, Theorem 4.1], the function V converges to β or to in C2(SN−1).\vskip6.0ptplus2.0ptminus2.0pt
Moreover v=e−ktV, and V and its derivatives up to the order 2 are bounded, thus
and N+a−k(m+1)<m−12−N<0. Then EL has a finite limit θ<0 at ∞, which is contradictory.
Analysis of the fixed points
Here we make the local analysis around the fixed points.
Proof of Proposition 4.4. (i) Consider a regular solution (u,v) with initial data (u0,v0). When when r → 0, we have
thus from (2.1), when t→−∞
and limt→−∞Z=N+a, limt→−∞W=(N+b). In particular the trajectory tends to N0=(0,0,N+a,N+b).\vskip6.0ptplus2.0ptminus2.0pt
with x(0)=y(0)=0. Then we get local existence and uniqueness. Hence for any u0,v0>0 there exists a regular solution (u,v) with initial data (u0,v0). Moreover u,v∈ C1([0,R)) when a,b>−1.\vskip6.0ptplus2.0ptminus2.0pt
∙ Convergence when r→ ∞: If λ3>0, or λ4>0, then the stable varietyVs has at most dimension 1, it satisfies W=0 or Z=0, hence there is no admissible trajectory converging to A0 at ∞. If λ3<0, and λ4<0, then Vs has dimension 2. Moreover Vs∩{Z=0} has dimension 1: the corresponding system in X,Y,W has the eigenvalues λ1,λ2,λ4; similarly Vs∩{W=0} has dimension 1. Then there exist trajectories in Vs such that Z>0 and W>0, included in R and thus admissible. They satisfy lime−λ3tZ=C3>0,lime−λ4tW=C4>0, then (4.11) follows from (4.2).
∙ Convergence when r→0: If λ3<0, or λ4<0, the unstable variety Vu has at most dimension 3, and it satisfies W=0 or Z=0. Therefore there is no admissible trajectory converging at −∞. If λ3,λ4>0, then Vu has dimension 4; in that case there exist admissible trajectories, and (4.11) follows as above.
Proof of Proposition 4.6. We set P0=(p−1N−p,Y∗,0,W∗), with
and the roots λ2,λ4 of equation
Then if λ3<0 (resp. λ3>0) there is no admissible trajectory converging when r→0 (resp. r→∞). Indeed Vu=Vu∩{Z=0} (resp. Vs=Vs∩{Z=0}).
1) Suppose that q>m+1. Since q+b<p−1N−pμ<N+b−mq−1N−q, we have P0∈R, and λ2λ4<0. First assume λ3<0, that means γ<p−1N−p. Then Vs has dimension 2, and Vs∩{Z=0} has dimension 1, there exists trajectories with Z>0, which are admissible, converging when r→∞. Next assume λ3>0. Then Vu has dimension 3, and Vu∩{Z=0} has dimension 2. Thus there exist admissible trajectories converging when t→−∞.
2) Suppose that q<m+1. Since q+b>p−1N−pμ>N+b−mq−1N−q, we have P0∈R, and λ2λ4>0. We assume qp−1N−pμ+m(N−q)=N(q−1)+(b+1)q, that means Y∗=W∗. First suppose λ3>0, that means γ<p−1N−p. If Reλ2>0, then Vu has dimension 4, or Reλ2<0 then Vu has dimension 2 and Vu∩{Z=0} has dimension 1. In any case, there exist admissible trajectories converging when r → . Next assume λ3<0. If Reλ2>0, then Vs has dimension 1, and Vs∩{Z=0}=∅. If Reλ2<0, then Vs has dimension 3. In any case Vs contains trajectories with Z>0, which are admissible, converging when r→∞.
Those trajectories satisfy lime−λ3tZ=C3>0, limX=p−1N−p, limY=Y∗ and limW=W∗, thus (4.12) follows from (4.2) and (2.5).
∙ Convergence when r→ ∞: If λ3>0 or λ4>0, then Vs=Vs∩{Z=0} or Vs=Vs∩{W=0}. There is no admissible trajectory converging at ∞. Next suppose that λ3,λ4<0. Then Vs has dimension 3; it contains trajectories with Y,Z,W>0, which are admissible. They satisfy limX=p−1N−p, lime−λ2tY=C2>0, lime−λ3tZ=C3>0, lime−λ4tW=C4>0, then (4.13) follows from (4.2) and (2.4).
∙ Convergence when r→ 0: Since λ2<0 we have Vu=Vu∩{Y=0}, hence there is no admissible trajectory converging when r→0.
∙ Convergence when r→ ∞: If λ2>0, or λ3>0, then Vs= Vs∩{Y=0} or Vs=Vs∩{Z=0}, there is no admissible trajectory converging at ∞. Assume λ2,λ3<0, then Vs has dimension 3, it contains trajectories with Y,Z>0, which are admissible.
∙ Convergence when r→ 0: If λ3<0, or λ2<0 there is no admissible trajectory. If λ2,λ3>0 then Vs has dimension 3, it contains admissible trajectories.
In any case limX=p−1N−p, lime−λ2tY=C2>0, lime−λ3tZ=C3>0, limW=N+b−p−1N−pμ, hence (4.13) still follows from (4.2) and (2.4).
Proof of Proposition 4.10. We set C0=(0,Yˉ,0,Wˉ), with
and the roots λ2,λ4 of equation
then λ2λ4>0. We assume m=N−qN(q−1)+(b+1)q, that means Yˉ=Wˉ.
∙ Convergence when r→ ∞: if λ3>0 we have Vs=Vs∩{Z=0}, hence there is no admissible trajectory. Next assume that λ3<0, that means δ>(N+a)q+bm+1−q.If Reλ2<0 (resp. >0) then Vs has dimension 4 (resp. 2) and Vs∩{X=0} and Vs∩{Z=0} have dimension 3 (resp. 1) then there exist trajectories with X,Z>0, which are admissible.
In any case lime−λ1tX=C1>0, limY=Yˉ, lime−λ3tZ=C3>0, limW=Wˉ, then (4.15) follows.
∙ Convergence when r→ 0: Since λ1<0 we have Vu=Vu∩{X=0}, hence there is no admissible trajectory.
and the roots λ2,λ4 of equation of equation (10.5).
∙ Convergence when r→ ∞: If λ1>0, that means (p+a)q+bm+1−q<δ, then Vs=Vs∩{X=0}, hence there is no admissible trajectory. Next assume λ1<0; if Reλ2<0 (resp. >0) then Vs has dimension 4(resp. 2) and Vs∩{X=0} has dimension 3 (resp. 1) then there exist admissible trajectories.
∙ Convergence when r→ 0: If λ1<0, then Vu=Vu∩{X=0}, hence there is no admissible trajectory. Next assume λ1>0. If Reλ2=Reλ4<0 (resp. >0) then Vs has dimension 4 (resp. 2) and Vs∩{X=0} has dimension 3 (resp. 1) then there exist admissible trajectories.
In any case lime−λ1tX=C1>0, limY=Yˉ, limZ=Zˉ, limW=Wˉ, then (4.15) holds again.
Finally there is no admissible trajectory converging to 0=(0,0,0,0), or K0=(0,0,N+a,0), or L0=(0,0,0,N+b). Indeed the linearization at gives
The eigenvalues are p−1p+a,−q−1N−q,−(N+a), N+b. Then Vs and Vu have dimension 2, hence Vs is contained in {Z=W=0}, and Vu in {Y=0}. The case of L0 follows by symmetry.
References