This paper investigates the existence and non-existence of positive radial solutions to a class of nonlinear elliptic equations with mixed reaction terms, depending on parameters M and p, revealing conditions for ground states and singular solutions.
Contribution
It provides new criteria for the existence and non-existence of solutions to a class of nonlinear elliptic equations with mixed reaction terms based on parameters M and p.
Findings
01
Existence of ground states under certain M and p values.
02
Non-existence of solutions with singularity at 0 for other parameter ranges.
03
Characterization of solutions based on the parameters M and p.
Abstract
We study global properties of positive radial solutions of --Δu = up +M |∇u|p+1 in RN wherep > 1 and M is a real number. We prove the existence or the non-existence of ground states and of solutions with singularity at 0 according to the values of M and p.
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nonlinear elliptic equations with mixed reaction terms
Marie-Françoise Bidaut-Véron111Laboratoire de Mathématiques et Physique Théorique,
Université de Tours, 37200 Tours, France. E-mail: [email protected],
**Marta Garcia-Huidobro 222Departamento de Matematicas, Pontifica Universidad Catolica de Chile
Casilla 307, Correo 2, Santiago de Chile. E-mail: [email protected]
Laurent Véron 333Laboratoire de Mathématiques et Physique Théorique, Université de Tours, 37200 Tours, France. E-mail: [email protected]
**
Abstract We study global properties of positive radial solutions of −Δu=up+M∣∇u∣p+12p in RN where p>1 and M is a real number. We prove the existence or the non-existence of ground states and of solutions with singularity at [math] according to the values of M and p.
The aim of this article is to study local and global properties of positive radial solutions of the equation
[TABLE]
in RN or RN∖{0} where p>1 and M is a real parameter. This is a particular case of the following class of equations
[TABLE]
where q>1 which has been the subject or many works in the radial case when M<0, where a basic observation is that the two terms ∣u∣p−1u and M∣∇u∣q are in competition. The first work in that case is due to Chipot and Weissler [14] who, in particular, solved completely the case N=1, then Serrin and Zou [19] performed a very detailed analysis. Much less is known in the case M>0. Under the scaling transformation Tk defined for k>0 by
[TABLE]
(\refI−0−1) becomes
[TABLE]
Therefore, if q=p+12p, (\refI−0−1) can be reduced to
[TABLE]
Moreover, when q<p+12p, the limit equation of (\refI−0−1a) when k→0 is the Lane-Emden equation
[TABLE]
and thus the exponent p is dominant. The other scaling transformation
[TABLE]
transforms (\refI−0−1) into
[TABLE]
and if q>p+12p, the limit equation of (\refI−0−1d) when k→0 is the Riccati equation
[TABLE]
therefore the exponent q is dominant. In [14] and [19] most of the study deals with the case q=p+12p. In the critical case i.e. when
[TABLE]
then not only the sign of M but also its value plays a fundamental role, with a delicate interaction with the exponent p. Notice that an equivalent form of (\refI−0) is
[TABLE]
with λ>0. In the critical case first studies in the case M<0 are due to Chipot and Weissler [14] for N=1. The case N≥2 was left open by Serrin and Zou [19] and the first partial results are due to Fila and Quittner [16] and Voirol [22, 23]. The case M>0 was not considered.
The equation (\refI−0) is the stationary part of the associated parabolic equation
[TABLE]
which is studied in [14] and [15], where one of the aims was to find conditions for the blow-up of positive solutions. A general survey with several open problems can be found in [20].
In the non radial case an important contribution dealing with a priori estimates of local positive solutions of (\refI−0−1) and existence or non-existence of entire positive solution in RN is due to the authors [7]. In this paper we complete the results of [7] in presenting a quite exhaustive study of the radial solutions of (\refI−0) for any real number M.
The radial solutions of (\refI−0) are functions r↦u(r) defined in (0,∞) where they satisfy
[TABLE]
Because of the invariance of (\refI−1) under the transformation Tk there exists
an autonomous variant of (\refI−0) obtained by setting
[TABLE]
Then (\refI−1) becomes
[TABLE]
with
[TABLE]
Putting y(t)=−rp−1p+1ur(r), then (x(t),y(t)) satisfies the system
[TABLE]
We are mainly interested in the trajectories of the system which remain in the first quarter Q={(x,y)∈R2:x>0,y>0}. Indeed, among these trajectories, we find the ones corresponding to ground states, i.e. positive C2 solutions u of (\refI−1) which are defined on [0,∞). They verify ur(0)=0 and actually they are C∞ on (0,∞). Using the invariance of the equation under Tk all the ground states can be derived by scaling from a unique one which satisfies u(0)=1. Since it is easy to prove that such a solution u is decreasing, in the variables (x,y), a ground state is a trajectory of (\refI−3x) in Q, defined on R and satisfying t→−∞limx(t)y(t)=0. The corresponding trajectory is denoted by Treg.
Contrarily to the case of the Lane-Emden equation (\refI−0−1c), there exists no natural Lyapunov function when M=0. This makes the study much more delicate and it is based upon a phase plane analysis. The solutions of (\refI−1) invariant under Tk for any k>0 correspond to constant solutions of (\refI−3) and have the form
[TABLE]
where X is a positive root of
[TABLE]
This equation plays a fundamental role in the description of the set of solutions of (\refI−1). The following constant, defined for N=1,2 and p>1 or N≥3 and 1<p≤N−2N has an important role in the description of the set roots of (\refI−5),
[TABLE]
When the is no ambiguity we write μ∗:=μ∗(N). This set is described in the following proposition.
Proposition 11- If M≥0, equation (\refI−5) admits a positive root, necessarily unique, if and only if N≥3 and
p>N−2N.
2- If M<0 and p≥N−2N, equation (\refI−5) admits a unique positive root XM.
*3- If M<0 and either N=1,2 and p>1 or N≥3 and
1<p≤N−2N, there exists no positive root of (\refI−5) if −μ∗<M<0, a unique positive root if M=−μ∗<0 and two positive roots X1,M<X2,M if M<−μ∗.
*
We also set YM=p−12XM and PM=(XM,YM) (resp. Yj,M=p−12Xj,M and Pj,M=(Xj,M,Yj,M), for j=1,2) and define the corresponding singular solutions UM(r)=XMr−p−12 (resp. Uj,M(r)=Xj,Mr−p−12).
Recall briefly the description of the positive solutions of the Lane-Emden equation (\refI−0−1c), i.e. M=0: there exists radial ground states if and only if N≥3 and p≥N−2N+2. If p=N−2N+2 these ground states are explicit and they satisfy limr→∞rN−2u(r)=c>0. There exist infinitely many singular solutions u ondulating around UM. Note that a ground state corresponds to a homoclinic orbit at [math] for system (\refI−3x) and these singular solutions are cycles surrounding PM. We recall that an orbit of (\refI−3x) which connects two different equilibria (resp. the same equilibrium) when t∈R is called heteroclinic (resp. homoclinic).
Without the radiality assumptions, and using a delicate combination of refined Bernstein techniques and Keller-Osserman estimate we have obtained in [7, Theorems C, D] a series of general a priori estimates for any positive solution of (\refI−0), in an arbitrary domain of RN in the case N≥1, p>1 and q=p+12p and M>0. In particular we proved there that if p>1 and
M>M†:=(p+1p−1)p+1p−1(4pN(p+1)2)p+1p,
or if N≥2, p<N−1N+3 and M>0
equation (\refI−0) admits no ground state.
In the sequel we describe the ground states and the singular global solutions of (\refI−1) in RN∖{0}. Concerning the ground states, we discuss according to the sign of M and the value of p. The next value of
M appears when we linearize the system (\refI−3x) at the equilibrium PM,
[TABLE]
Then M is positive (resp. negative) if p>N−2N+2 (resp. p<N−2N+2 and we set μ=M). It is easy to see that if M=M then the characteristic values of the linearized operator at PM are purely imaginary. Notice that M is positive (resp. negative) according
p>N−2N+2 (resp. p<N−2N+2).
Theorem ALet N≥1, p>1 and M>0.
1- For any 1<p≤N−2N+2 if N≥3, and any p>1 if N=1,2, then equation (\refI−1) admits no ground state.
2- If N≥3 and p>N−2N+2, there exist constants M~min,M~max verifying
[TABLE]
*such that *
- if 0<M<M~min there exist ground states u satisfying u(r)∼UM(r) when r→∞.
- if M=M~min or M=M~max there exists a ground state u minimal at infinity, that is satisfying r→∞limrN−2u(r)=c>0.
- for M>M~max there exists no radial ground state.
The values of M~min and M~max appear as transition values for which the ground state still exists but it is
smaller than the others at infinity; it is of order r2−N instead of r−p−12. They are not explicit but they can be estimated in function of N and p. It is a numerical evidence that M~min=M~max in the phase plane analysis of system (\refI−3x) and we conjecture that this is true. When M=M~min or M~max, the system (\refI−3x) admits homoclinic trajectories. We prove that the system (\refI−3x) admits a Hopf bifurcation when M=M. When p>N−2N+2 we also prove the existence of different types of positive singular solutions
Theorem A’Let N≥3.
1- If N−2N<p≤N−2N+2 for any M>0 there exist a unique (always up to a scaling transformation) positive singular solutions u of (\refI−1) satisfying r→0limrp−12u(r)=XM and r→∞limrN−2u(r)=c>0
2- If p>N−2N+2, then
*(i) If M>M~max, there exists a unique singular solution u of (\refI−1) with the same behaviour as in 1. *
(ii) If M<M<M~min there exist positive singular solutions u ondulating around UM on R.
In terms of the system (\refI−3x) the 1) and 2-(i) correspond to the existence of a heteroclinic orbit in Q connecting PM to (0,0) and (ii) to the existence of a cycle in Q surrounding PM.
When M is negative, the precise description of the trajectories of (\refI−3x) depends also on the value of p with respect to N−2N. It is proved in [7, Th. B, E] that for N≥3 and 1<p<N−2N+2 there exists ϵ0>0 such that if ∣M∣≤ϵ0 equation (\refI−0) admits no positive solution in RN. The same conclusion holds if N≥3, 1<p≤N−2N (or N=2 and p>1) and M>−μ∗. We first consider the case p≥N−2N for which there exists a unique explicit singular solution UM, and the results present some similarity with the ones of Theorem A.
Theorem BLet N≥3, p≥N−2N and M<0. Then
1- If p≥N−2N+2, then equation (\refI−1) admits ground states u. Moreover they satisfy u(r)∼UM(r) as r→∞.
2- If N−2N≤p<N−2N+2, there exist numbers μ~min and μ~max verifying
[TABLE]
*such that *
*(i) for M<−μ~max there exist ground states u such that u(r)∼UM(r) when r→∞. *
*(ii) for M=−μ~min or for M=−μ~max there exist ground states minimal at infinity in the sense that u(r)∼cr2−N when r→∞, c>0.
*
(iii) for −μ~min<M<0 there exists no radial ground state.
Here also the value of μ~min, μ~max are not explicit and we conjecture that they coincide.
The next result presents some similarity with Theorem A’.
Theorem B’Let N≥3 and N−2N<p<N−2N+2.
(i) If M<M<0 there exists a unique (up to scaling) positive singular solution u of (\refI−1), such that u(r)∼UM(r) when r→0 and
u(r)∼cr2−N when r→∞ for some c>0.
(ii) If −μ~min<M<0 there exist positive singular solutions u ondulating around UM on [0,∞) and singular solution ondulating around UM in a neighbourhood of [math] and satisfying u(r)∼cr2−N for some c>0 when r→∞.
In terms of the system (\refI−3x), (i) corresponds to a heteroclinic orbit connecting PM and (0,0), while
(ii) to the existence of a periodic solution in Q around PM, and the existence of a solution in Q converging to (0,0) at ∞ and having a limit cycle at t=−∞ which is a periodic orbit around PM.
The situation is more complicated when 1<p<N−2N and M<−μ∗ because there exist two explicit singular solutions
U1,M and U2,M which coincide when M=−μ∗.
Theorem CLet M<0, N≥3 and 1<p<N−2N, or N=2 and p>1. Then there exist
two constants μ~min and μ~max verifying
[TABLE]
such that
1- If M<−μ~max then equation (\refI−1) admits ground states u either ondulating around U2,M or such that u(r)∼U2,M(r) as r→∞.
2- If M=−μ~min or M=−μ~max there exists a ground state u such that u(r)∼U1,M(r) as r→∞.
3- If −μ~min<M<0 there exists no radial ground state.
Here again μ~min and μ~max appear as transition values for which the ground state still exists but it is smaller than the others at infinity: it behaves like U1 instead of U2. The proof of this theorem is very elaborate in particular in the case N=2. In the case N=1 the result is already proved in [14]. The nonexistence of a ground state, not necessarily radial for M>−μ∗ is proved in [1] and independently in [7] with a different method. In the radial case it was obtained much before in the case N=1 in [14] and then by Fila and Quittner [16]
who raised the question whether the condition −μ~min<M<0 is optimal for the non-existence of radial ground state. This question received a negative answer in the work of Voirol [22] who extended the domain of non-existence to −μ∗−ϵ<M≤−μ∗. The next result is the counterpart of Theorem C when dealing with singular solutions.
Theorem C’Let M<0, N≥3 and 1<p<N−2N. (i) If M<−μ∗ there exist positive singular solutions u such that u(r)∼U1,M(r) as r→∞ and
u(r)∼cr2−N with c>0 when r→0.
(ii) If M≤M<−μ∗ there exists a unique up to scaling positive singular solution u, such that u(r)=U2,M(r) as r→0 and u(r)=U1,M(r) as r→∞. Furthermore u(r)>U1,M(r) for all r>0.
(iii) If −μ^min<M<−μ there exist positive singular solutions u ondulating around U2,M at [math] and such that
u(r)∼U1,M(r) as r→∞, and positive singular solutions u ondulating around U2,M on R.
(iv) If M=−μ~min or M=−μ^max there exists a positive singular solutions u different from U1,M such that
u(r)∼U1,M(r) when r→0 and r→∞.
(v) If −μ~min<M<−μ^max there exists a positive singular solution u such that r→0limrN−2u(r)=c>0 and either ondulating around U2,M or such that u(r)∼U2,M(r) when r→∞.
(vi) If N≥3 and M=−μ∗, there exist positive singular solutions u satisfying r→0limrN−2u(r)=c>0 and u(r)∼U−μ∗(r) as r→∞.
In terms of the system (\refI−3x) (i) corresponds to a heteroclinic orbit connecting P1,M to (0,0); (ii) to a heteroclinic orbit connecting P2,M to P1,M; (iii) to a trajectory having a periodic orbit around P2,M for limit cycle at −∞ and converging to
P2,M at ∞ and to a periodic orbit around P2,M; (iv) corresponds to homoclinic orbit at P1,M; (v) corresponds to a trajectory connecting (0,0) at −∞ and either converging to P2,M at ∞ or having a periodic orbit around P2,M for limit set at ∞; (vi) corresponds to a heteroclinic orbit connecting from (0,0) to P−μ∗.
Acknowledgements This article has been prepared with the support of the collaboration
programs ECOS C14E08 and FONDECYT grant 1160540 for the three authors.
The authors thank the anonymous referee for the careful reading of the manuscript which allowed to eliminate some ambiguities in the presentation and the proof of some of our results.
2 General properties of the system
2.1 Reduction to autonomous equation and system
2.1.1 The standard reduction
We recall that if u is a C3 function defined on some interval I⊂[0,∞) verifying (\refI−1)
and if
[TABLE]
then x satisfies the autonomous equation
[TABLE]
on ln(I) where K and L are defined in (\refI−3v). Setting ur=−r−p−1p+1y(t), then (x(t),y(t)) satisfies
[TABLE]
where
[TABLE]
and we denote by H the vector field of R2 with components H1 and H2.
2.1.2 The geometry of the vector field H
Let us denote by Q:={(x,y):x>0,y>0} the first quadrant. The vector field is inward in (resp. outward of) Q on the axis {(x,y):x>0,y=0} (resp. {(x,y):x=0,y>0}). We set
[TABLE]
and ψ(y)=(Ky−Myp+12p)p1. Then xt=0 on L and yt=0 on C. The curves L and C have zero, one or two intersections in Q according the value of K and M.
If M,K>0, then C⊂[0,(2pp−1)p1Kp+12(2pM(p+1))p(p−1)p+1]×[0,(MK)p−1p+1]. The points (0,0), PM and \Bigl{(}0,\left(\frac{K}{M}\right)^{\frac{p+1}{p-1}}\Bigr{)} belong to C. The function ψ is increasing on \Bigl{(}0,\left(\frac{K}{qM}\right)^{\frac{p+1}{p-1}}\Bigr{)} and decreasing on \Bigl{(}\left(\frac{K}{qM}\right)^{\frac{p+1}{p-1}},\left(\frac{K}{M}\right)^{\frac{p+1}{p-1}}\Bigr{)}.
If M<0 and K>0, ψ is concave and increasing on (0,∞) with ψ(y)=(−M)p1yp+12(1+o(1)) as y→∞.
If M<0 and K<0, ψ is still concave and increasing on \Bigl{(}\left(\frac{K}{M}\right)^{\frac{p+1}{p-1}},\infty\Bigr{)} with the same asymptotic as above. We quote below the possible connected components of Q∖(L∪C).
2.1.3 Graphic representation of the vector field H
We present below some graphics of the vector field H associated to system (\refI−3x).
2.1.4 Other reduction
The following change of unknowns, already used in [9] when M=0,
[TABLE]
and valid if ur=0, transforms (\refI−3x) into a Kolmogorov system with vector field V=(V1,V2)
[TABLE]
Since σ and z are in factor the two axis {σ=0} and {z=0} are trajectories, actually not admissible for (\refI−3−4) in view of (\refI−3−5). The system is singular on these two axis however it can be desingularized by setting σ=σ~2k+1 and z=z~2k+1 for some integer k>p+1, which transforms (\refI−3−6) into a new nonsingular Kolmogorov system,
[TABLE]
Therefore no other trajectory can intersect them in finite time and the quadrant Q:={(σ,z):σ>0,z>0} is invariant. Furthermore σz=r2∣u∣p−1. It is noticeable that if M=0 the initial system is quadratic and regular.
The system (\refI−3−6) will be used in the most delicate cases. It corresponds to the differentiation of the initial equation (\refI−3−2).
2.2 Regular solutions and ground states
Definition 2.1
A regular solution of (\refI−1) is a C2 solution defined on some maximal interval [0,r0) satisfying u(0)=u0>0 and ur(0)=0. A ground state is a nonnegative C2 solution defined on [0,∞).
The existence and uniqueness of a regular solution is standard by the Cauchy-Lipschitz integral method. If u is a C2 solution it satisfies ur<0 on (0,r0). Indeed rN−1ur(r) is decreasing near [math], hence ur<0 on some maximal interval
(0,r1)⊂(0,r0) and ur(r1)=0 if r1<r0. If u(r1)=0 then u≡0 by uniqueness. If u(r1)>0 then urr<0 near r1 which would imply that u(r)<u(r1) for r1−ϵ≤r<r1 which contradict the negativity of ur on (0,r1). Hence u(r1)<0 which implies that ur(r)<0 on the maximal interval (0,r2) where u>0. Thus, if u is a ground state ur<0 on (0,∞). Hence the trajectory of a ground state expressed in the system (\refI−3x) lies in Q and expressed in the system (\refI−3−6) it lies in the quadrant Q. It is easy to check that the regular solution u:=uu0, such that u(0)=u0 satisfies
[TABLE]
Under the scaling transformation Tk, u can be transformed into the regular solution (\refI−1)u:=u1 satisfying u(0)=1. If one considers the system (\refI−3x) the transformation Tk becomes the time shift which transforms t↦(x(t),y(t)) into t↦(x(t+lnk),y(t+lnk)), and the trajectory (x(t),y(t)) of (\refI−3x) corresponding to a ground state is therefore uniquely determined and denoted by Treg and satisfies
[TABLE]
Hence in the system (\refI−3−5) there holds on the corresponding trajectory
[TABLE]
2.3 Explicit singular solutions
Explicit self-similar solutions of (\refI−1), necessarily under the form u=Ar−p−12, play a fundamental role in the study, whenever they exist. The following result covers Proposition 1.
Proposition 2.2
1- Let M≥0. Then there exists a unique self-similar solution of (\refI−1) if and only if N≥3 and p>N−2N. We denote it by UM(r)=XMr−p−12, where XM>0 depends also on M, N and p. To this solution is associated the equilibrium
(XM,p−12XM) of the system (\refI−3x). Furthermore the mappings M↦XM is continuous and decreasing on [0,∞), M↦MXMp+1p−1
is increasing and there holds
[TABLE]
2- Let M<0. If N≥3 and p≥N−2N there exists a unique self-similar solution of (\refI−1)UM(r). The mapping M↦XM is continuous and decreasing, M↦MXMp+1p−1 is decreasing and there holds
[TABLE]
3- Let M<0. If N=1,2 and p>1, or N≥3 and 1<p<N−2N, there exists no self-similar solution of (\refI−1) if −μ∗<M<0 where μ∗=μ∗(N)>0 is defined in (\refI−6). If
M=−μ∗ there exists a unique self-similar solution U−μ∗(r). If M<−μ∗<0 there exist two-self-similar solutions
U1,M(r)=X1,Mr−p−12 and U2,M(r)=X2,Mr−p−12 with X1,M<X2,M. Furthermore the mappings M↦X1,M and M↦X2,M are continuous, respectively increasing and decreasing on (−∞,−μ∗), while M↦MX1,Mp+1p−1 and M↦MX2,Mp+1p−1 are respectively decreasing and increasing. Furthermore there holds for ∣M∣ large enough;
[TABLE]
Proof. The function UM=XMr−p−12 is a self-similar solution of (\refI−1) if and only if XM is a positive root of
[TABLE]
Equivalently PM=(XM,YM)=(2p−1YM,YM) is a fixed point of system (\refI−3x), where YM is the positive root of
[TABLE]
The use of the variable y is a little easer than x. Since X0 is explicit if M=0, we shall study the cases M=0.
1- Case M>0. If K>0, equivalently p>N−2N, and M≥0, fM is an increasing function tending to ∞ at ∞ and negative at y=0. Hence YM is the unique positive root of (\refI−3−9). If K<0, fM is positive on [0,∞), hence no such solution exists. Since
[TABLE]
by the implicit function theorem, M↦YM is C1. For M>M′>0, fM(y)>fM′(y) for all y>0.
Hence M↦YM is decreasing on [0,∞). Actually the expression of fM shows more, namely that M↦MYMp+1p−1
is increasing on [0,∞). Furthermore
[TABLE]
and
[TABLE]
and we get (\refI−3−8a).
2- Case M<0. Clearly fM has a minimum at y=y0,M where
[TABLE]
We encounter two possibilities:
2-a. If N≥3 and p≥N−2N, then fM(0)<0, fM is decreasing on (0,y0,M) and increasing on (y0,M,∞), hence fM(y)=0 has a unique positive root YM>y0,M. Since for M<M′<0 and y>0,
fM′(y)>fM(y), the mapping M↦YM is continuous and decreasing and M↦MYMp+1p−1 is increasing.
Then the left-hand side of (\refI−3−8ab) is clear. Next we put
[TABLE]
Then ϕ(η)=ηp+1−η−ap+1=0. Since
[TABLE]
we derive η≤1+a, which implies
the right-hand side of (\refI−3−8ab).
2-b. If N=1,2 or N≥3 and 1<p<N−2N, then K<0. Hence, if fM(y0,M)>0, or equivalently −μ∗<M≤0, the equation fM(y)=0 has no positive root, if M=−μ∗, it has a double root Y−μ∗ where
[TABLE]
and if M<−μ∗ the equation (\refI−3−9) has two positive roots 0<Y1,M<Y2,M and since fM′ does not vanish at Yj,M, they are C1 functions of M∈(−∞,M∗), respectively increasing and decreasing. Since M,K<0, we obtain from fM(YM)=0,
[TABLE]
and
[TABLE]
For a sharper estimate, we have for M large enough,
[TABLE]
Hence
[TABLE]
Similarly
[TABLE]
The estimates (\refI−3−8b) follow.
□
2.3.1 Upper estimate of the regular solutions
We first recall the following estimate in the case M≥0, consequence of the fact that the positive solutions of (\refI−0) are superharmonic and proved in a more general setting in [7, Prop. 2.1 ].
Proposition 2.3
1- There exists no positive solution of (\refI−1) in (R,∞), R≥0 if M≥0 and either N=1,2 and p>1 or N≥3 and 1<p≤N−2N. In particular there exists no ground state.
2- If N≥3, p>N−2N, M≥0 and u is a positive solution of (\refI−1) in (R,∞), R≥0. Then there exists ρ≥R such that
[TABLE]
and
[TABLE]
Furthermore, if R=0, inequalities (\refI−1−01), and (\refI−1−01′) hold with ρ=0.
The next estimate is verified by any ground state, independently of the sign of M.
Proposition 2.4
Let p>1 and N≥1. Then the ground state u of (\refI−1) with u(0)=1 satisfies
[TABLE]
Proof. The trajectory Treg starts from (0,0) and enters the region C. If it stays in C, then x is increasing on
R. Since y<p−12x, if x(t) tends to some finite limit as t→∞, it implies that the limit set of the trajectory exists. It cannot be a cycle since x is monotone, thus it is one of the equilibrium of the system. Hence
x(t)≤Xj,M for j=1 or 2 if K<0 and M<−μ∗ or x(t)≤XM if K≥0 and either M>0 or −μ∗≤M≤0. This implies that (\refI−3−21) holds.
If x(t) tends to ∞, so does y because y(t)≥xp(t)−p−12∣K∣x(t)−∣M∣(p−12x(t))p+12p→∞ as t→∞. Therefore yt≥Cyp for some C>0 which would imply that t↦y1−p(t)+C(p−1)t is increasing, which is impossible.
Next we suppose that the trajectory leaves C by crossing the line L. Since it cannot enter B through C (in the case K<0, M≤−μ∗ ), it leaves C by intersecting L and we denote by t1 the first time where Treg intersects L. Then
xt(t1)=0 and xtt(t1)=−yt(t1)<0. Therefore t1 is a local maximum. Now the trajectory cannot cross again the half line
{(x,y):x=x(t1),y>p−12x(t1)} because on it there holds xt=p−12x(t1)−y<0. Hence x(t)≤x(t1)
for any t≥t1.
In the same way, either y is increasing on R and since xt=p−12x−y and x is bounded, y cannot tend to infinity when t→∞, thus y(t)→y0>0, or y is not monotone and Treg crosses C at a first value t2, necessarily larger than t1 and where xt(t2)<0. Then ytt(t2)=p∣x(t2)∣p−1xt(t2)<0 and t2 is a local maximum of y. Therefore ∪t≥t2(x(t),y(t)) remains in the subset of Q bordered by the portion of trajectory of Treg for t≤t2 and {(x,y):0<x≤x(t2),y=y(t2)}. This implies that y(t)≤y(t2) for all t∈R. Noticing that u(r)≤1 since u is decreasing, we get the conclusion.
□
Remark. The above method does not give an explicit estimate of the upper bounds of x and y and such a bound can be estimated in some cases.
If M≥0 it follows from Proposition 2.3 that for any p>1 there holds
[TABLE]
thus this estimate is independent of M. Here a new critical value is involved in all dimension N≥2, namely
[TABLE]
corresponding to the definition (\refI−6). If −μ∗(2)<M<0, it is easy to check that the function v=lnu satisfies
[TABLE]
with a=1−(μ∗(2)∣M∣)p+1>0. We derive that the function
w(r)=−(rN−1vr(r)) is increasing, with limit ℓ∈(0,∞]. Hence
[TABLE]
This implies
[TABLE]
2.4 Linearization of the system (\refI−3x) near equilibria
2.4.1 Linearization at (0,0)
The linearized system at (0,0) is
[TABLE]
which admits the eigenvalues
[TABLE]
Note that λ2−λ1=N−2.
(a) Assume that N≥3 and p>N−2N, or equivalently K>0. Then (0,0) is a saddle point. There exists a unique unstable trajectoryTunst such that
[TABLE]
and more precisely, from (\refI−3−8x),
[TABLE]
From Definition 2.1 and the lines which follow, the unstable trajectory Tunst coincides with the regular trajectory Treg. This is included in the region C for t<T0 for some −∞<T0≤∞. There exists also a unique stable trajectoryTst such that
[TABLE]
Since N−2>p−12, Tst belongs to the region A for t>T1 for some T1<∞.
Remark. If Treg⊂Q satisfies t→∞lim(x(t),y(t))=(0,0), then Treg=Tst and the corresponding solution is a ground state. The same conclusion holds, if Tst⊂Q satisfies t→−∞lim(x(t),y(t))=(0,0). Such a solution is called a homoclinic orbit at (0,0). Because of the uniqueness of the stable and unstable trajectories of a saddle point, it is unique in the class of solutions satisfying (\refI−3−11c). Equivalently the class of ground states u of (\refI−1) satisfying
u(r)∼cr2−N for some c>0 is then a one parameter family characterized by u(0)=u0.
(b) Assume that N≥3 and 1<p<N−2N. Then K<0 and 0<λ1<λ2. Hence (0,0) is a source and all the trajectories of (\refI−3x) in some neighbourhood of (0,0) converge to (0,0) when t→−∞. Among those trajectories there exists one fast trajectory which satisfies
[TABLE]
It is actually the regular trajectory Treg. There exist also infinitely many slow trajectories which satisfy
[TABLE]
(c) If p=N−2N, then K=0 and λ1=0<λ2=N−2. We still find the regular trajectory Treg associated to λ2 and the corresponding eigenvector (1,0).
By the central manifold theorem corresponding to λ1 there exists an invariant curve passing through (0,0) with slope N−2. Using the matched asymptotic expansion method, one finds that if M<0 there exists a solution x of (\refI−3−2) such that
x(t)∼CN∣M∣−N−11t1−N when t→∞, i.e. u(r)∼CN∣M∣−N−11r2−N(lnr))1−N when r→∞, and if M>0
there exists a solution x of (\refI−3−2) such that
x(t)∼CNM−N−11(−t)1−N when t→−∞, equivalently u(r)∼CN∣M∣−N−11r2−N(ln(r1))1−N when r→0.
(d) If N=2, (0,0) is a source with λ1=λ2=p−12, with corresponding eigenspace (1,0). The linearized problem is equivalent to equation
[TABLE]
with general solutions x(t)=aeq−12t+bteq−12t for some real parameters a,b.
Hence there exists infinitely trajectories of (\refI−3−2) tending to [math] when t→−∞ and they are tangent to (1,0) at (0,0). The regular trajectory Treg corresponds to b=0 and the other trajectories correspond to singular solutions u of (\refI−0). They satisfy
u(r)∼blnr as r→0 and there holds
[TABLE]
in the sense of distributions in Bϵ for some ϵ>0.
Next we give a general result in case the system admits only one equilibrium in Q.
Lemma 2.5
*Let N≥3, p>N−2N and M∈R. If u is a regular solution the following tetrachotomy occurs:
(i) either limr→∞rN−2u(r)=c for some c>0,
(ii) or u(r)∼UM(r) as r→∞,
(iii) or u(r) has an ω-limit cycle surrounding PM,
(iv) or u(r) changes sign for some r>0.*
Proof. By assumption PM is the unique equilibrium. The trajectory Treg starts from (0,0) and remains in the region C where xt,yt>0 for t≤t0≤∞. If t0=∞, u is a ground state, hence it is bounded from Proposition 2.4. Its ω-limit set is non-empty. Because x and y are monotone, it converges when t→∞ to some point which is necessarily PM. If t0<∞, then at t=t0 the trajectory leaves C through L since it cannot enter in B, and it enters the region D where xt<0, yt>0. Moreover xt(t0)=0 and x(t0)>XM. Then three possibilities occur:
(α) either x(t)→XM monotonically when t→∞; thus the trajectory converges to PM.
(β) either x(t)→0 monotonicaly when t→∞. Since (0,0) is a saddle point, then Treg=Tst. This implies that Treg is a homoclinic trajectory at (0,0).
(γ) or there exists t1>t0 such that xt(t1)=0. Then x(t1)<XM. Hence Treg enters the region B and by continuity there exists t′<t0 such that x(t′)=x(t1) and y(t′)<y(t1). Therefore the bounded region of R2 bordered by the segment I={(x,y):x=x(t1),y(t′)<y<y(t1)} and the portion of Treg defined by {(x(t),y(t))∈Treg:t′≤t≤t1} is positively invariant (notice that xt>0 on I) and it contains PM and no other equilibrium. Therefore either the trajectory converges to PM or it admits an ω-limit cycle which is a closed orbit surrounding PM.
□
2.4.2 Linearization at a fixed point PM:=(XM,YM)
Suppose that PM (or Pj,M) exists. Then setting (x,y)=(XM,YM)+(x,y), the linearized system at this point is
[TABLE]
Using equation (\refI−3−9), the eigenvalues of its matrix are the roots of the trinomial
[TABLE]
If M is such that p+12pMYMp+1p−1=L, then 2K−p+12pMYMp+1p−1=2K−L=K+p−12=N−2, and we denote by M such a value of M which is characterized by
[TABLE]
Since YM is a positive root of (\refI−3−9), we get
[TABLE]
hence M, well defined for N≥2, is given by
[TABLE]
That is (\refI−8).
Remark. We see that M>0 (resp. M<0) if and only if N≥3 and p>N−2N+2 (resp. 1<p<N−2N+2 if N≥3 and any p>1 if N=2). If M=M and N≥3, the eigenvalues of the linearized system are purely imaginary. If p=N−2N+2, then M=0. It is known that in that case the point P0=((2N−2)2N−2,(2N−2)2N)
is a center for the system (\refI−3x) associated to −Δu=uN−2N+2 and that there exist infinitely many cycles turning around P0 with equation
[TABLE]
It can be verified that E<0, in particular using the function F defined in (\refI−3−15).
For N≥2 and 1<p<N−2N, there always holds M≤−μ∗ and more precisely
Lemma 2.6
If N≥3 and 1<p<N−2N, then M<−μ∗. If N=2 and p>1, then M=−μ∗.
Proof. From Proposition 2.2 and identities (\refI−3−10) and (\refI−3−13), there holds,
[TABLE]
But ∣L∣−2∣K∣=p−1N−2 and the conclusion follows. If N=2 we just replace < by = in the above series of equivalences.
□
Lemma 2.7
Assume N≥3. If p>N−2N+2 and M=M>0 then PM is a weak sink and a Andronov-Hopf bifurcation point. If p<N−2N+2 and M=M<0 then PM is a weak source.
Proof. We recall that a weak sink is an asymptotically stable equilibrium which attracts the nearby points as t→∞ at a rate slower than the usual exponential rate. A weak source is a weak sink of the system obtained by changing t into −t (see [17, Chap. 9]). We write
xˉ=x−XM, yˉ=y−YM and obtain the new nonlinear system
[TABLE]
where
[TABLE]
with
[TABLE]
Setting α2=(p−1)24+N−2, we have pXMp−1=α2, since XM=2p−1YM and M satisfies (\refI−3−13′), thus
[TABLE]
In order to compute the Lyapunov coefficients we transform the system by setting
[TABLE]
The new system is
[TABLE]
By integrating the first line and using the expansion of h, we obtain
[TABLE]
This can be written in the following way
[TABLE]
By [17, Th. 9.2.3], the Lyapunov coefficient is given by Λ=ν2,0+3ν0,3+ν1,1(ν2,0+ν0,2) which yields by computation
[TABLE]
If L>0 (resp. L<0) PM is a weak sink (resp. a weak source). □
2.4.3 Energy and Lyapunov functionals for system (\refI−3x)
If x(t) is a solution of (\refI−3−2) we set
[TABLE]
Then, if (x(t),y(t))∈Q, we have
[TABLE]
Hence, if LM>0, F is monotone in the region {(x,y)∈Q:p−12x−y>0}, located under L.
Remark. a) This function was introduced classically in the case M=0, leading in particular to (\refsob) when p=N−2N+2.
b) Using this function we can deduce an upper estimate for regular solutions, completing, Proposition 2.3 and Proposition 2.4, namely if M>0 and p≥N−2N+2 any ground state satisfies
[TABLE]
Next we construct a Lyapunov functional adapting the method initiated by [2] and already used in [3] and [4].
Lemma 2.8
We define on R2
[TABLE]
and, if (x(t),y(t)) is a solution of (\refI−3−17), V(t)=J(x(t),y(t)).
If (x(t),y(t))=(x,y)∈Q we have
[TABLE]
Consequently, the function t↦V(t) is decreasing if M>0 and 1<p≤N−2N+2, and increasing if M<0 and p≥N−2N+2.
Proof. We recall the ansatz introduced in [2] for finding a Lyapunov function for a system of the form
[TABLE]
If f(x,y)=0⟺y=h(x), then consider the function
[TABLE]
In the case of system (\refI−3x), h(x)=p−12x, and we find L(x,y)=J(x,y). Then (\refI−3−17) and the conclusion follow. □
Remark. If LM>0 we set
[TABLE]
Then
[TABLE]
Moreover H is starshaped with respect to [math] and we set
[TABLE]
If M>0 we have Vt(t)≥0 if (x(t),y(t))∈R and Vt(t)≤0 if (x(t),y(t))∈Rc∩Q. If M<0, the signs of Vt(t) in the same regions are opposite.
In [7] we also used a function introduced in [19] for equation (\refI−0−1). When q=p+12p it reduces to
[TABLE]
where a=p+32(p+1)(N−1). Since r=et, we find that in Q,
[TABLE]
The function satisfies the relation
[TABLE]
where
[TABLE]
Note that U has a constant sign in Q if LM<0.
2.4.4 Comparison results
Lemma 2.9
Let N≥1, p>1 and M,M′∈R such that M<M′. Then, as long as they lie below the line L, i.e. xt>0, the regular trajectories TregM and TregM′ associated to M and M′ respectively do not intersect. Furthermore TregM is below TregM′.
Proof. We use the expansion (\refI−3−11w) and deduce, for Mi=M or M′, that
[TABLE]
as t→−∞. Hence TregM is below TregM′ for t≤t∗ for some t∗∈R. Suppose that the trajectories intersect for a first time at some point (x0,y0) below L. Since the system is autonomous, there will exist two solutions of the systems relative to M and M′ satisfying at the same time t0, xM(t0)=xM′(t0)=x0 and yM(t0)=yM′(t0)=y0. From (\refI−3−4), xtM(t0)=xtM′(t0)>0 and
ytM(t0)=ytM′(t0)+(M−M′)y0p+12p<ytM′(t0). Hence the intersection of the two trajectories is transverse and the slope of TregM at this intersection point is smaller that the one of TregM′ which is impossible. The second assertion follows immediately. □
3 Study of ground states of (\refI−3x) when M>0
When M≥0 and either N≥3 and 1<p≤N−2N, or N=1,2 and p>1, there exists no ground state by Proposition 2.3; in this section we assume N≥3 and p>N−2N.
3.1 Behaviour near the equilibrium
Since M≥0 and p>N−2N there exists a unique equilibrium PM∈Q. The sign of the real part of the characteristic roots of the
linearization of the system (\refI−3−4) at PM depends on the position of M with respect to M defined in (\refI−3−14).
Lemma 3.1
Assume M>0 and N≥3.
1) If N−2N<p≤N−2N+2, then PM is a source.
2) If p>N−2N+2; then PM is a sink when M<M and it is a source when M>M.
3) If p>N−2N+2, then PM a weak sink. Furthermore, if
0<M−M<ϵ, for ϵ small enough, there exists a periodic trajectory in Q surrounding PM.
Proof.Step 1: Assume N−2N<p≤N−2N+2. The linearized system is given in (\refI−3−12). Because M>0, the product of the characteristic roots given by equation (\refI−3−13) is positive since it is given by
[TABLE]
The sum (or the real part) of the characteristic roots is equal to p+12pMYMp+1p−1−L which is positive, as p≤N−2N+2 implies L<0. Hence PM is a source.
Step 2: Assume p>N−2N+2, hence L>0. As in Step 1, the product of the characteristic roots is positive. By Proposition 2.2-(1), MYMp+1p−1 is an increasing function of M, then the sum (or the real part of) of the characteristic roots, given by p+12pMYMp+1p−1−L is also increasing and vanishes if M=M. It is negative if 0<M<M and positive if M>M. It implies assertion 2.
Step 3: If M=M, and p>N−2N+2, then PM is a weak sink by
Lemma 2.7. The appearance of the limit cycle, which is the called the Andronov-Hopf bifurcation, occurs for M>M when M−M is small enough (see [17, Chap. 9]). This implies assertion 2. □
Remark. The product of the characteristic roots is also expressed by
[TABLE]
Hence it is positive for any M≥0, p>1.
Next we give some sufficient conditions for nonexistence of a periodic solution or a homoclinic orbit at (0,0).
Lemma 3.2
Assume N≥3. If M>0 and 1<p≤N−2N+2 the system (\refI−3x) admits no closed orbit in Q. If 0<M≤M and
p>N−2N+2, the system (\refI−3x) admits no cycle in Q surrounding PM.
Proof. If γ is a non-trivial closed orbit it corresponds either to a T-periodic solution or a solution such that
[TABLE]
The function V defined in (\refI−3−16) is monotone and it satisfies either V(0)=V(T) or
t→−∞limV(t)=t→∞limV(t). Hence it is constant and by (\refI−3−17) it implies y(t)=p−12x(t) for all t, a contradiction.
Next we suppose p>N−2N+2, 0<M≤M and that there exists a T-periodic solution (x(t),y(t) with trajectory γ⊂Q surrounding PM, hence PM belongs to the bounded connected component
Γ of R2∖{γ} bordered by γ. Since PM is a sink or a weak sink by Lemma 3.1, there exists a neighbourhood O of PM such that all the trajectories issued from O converge to PM as t→∞. Hence any trajectory issued from O, necessarily contained in Γ, has an α-limit set in Γ which is either a stationary point different from PM, which is excluded, or a limit cycle {(x(t),y(t)}t∈[0,τ):=γ′⊂Γ (τ is its period). This limit cycle is not stable, hence, by Floquet’s theory
[TABLE]
We perform the change of unknowns xˉ=x−XM, yˉ=y−YM used in Lemma 2.7 which leads to the system (\refI−3−14a). The explicit value of the remaining term is
[TABLE]
where Φ and Ψ are defined accordingly. It is positive by convexity because M>0. Since from (\refI−3−14a),
[TABLE]
and
[TABLE]
we derive
[TABLE]
Using the equation (\refI−3−9) satisfied by YM it yields
[TABLE]
By (\refI−3−8a)-(ii), K−p+1MYMp+1p−1>0, hence ∫0τyˉ(t)dt<0, therefore
τ−1∫0τy(t)dt<YM and by concavity,
[TABLE]
Combining (\refFlo) and (\refFlo2), we obtain
[TABLE]
Since M↦MYMp+1p−1 is decreasing by Proposition 2.2-(1-ii) we have for 0≤M≤M
[TABLE]
which contradicts (\refFlo3). □
Remark. Up to changing the sense of variation of V(t), the proof of the first assertion shows that there exists no closed orbit
in Q if M<0 and p≥N−2N+2. However the proof of the second assertion is not valid when M<0.
The nonexistence of any periodic solution can also be proved when the equilibrium is a node (i.e. the two characteristic values are real with the same sign).
Lemma 3.3
*1- Let N≥3 and p>N−2N+2. There exists a unique and explicit M0>M such that for any M≥M0, PM is a repelling node, degenerate if M=M0. If M<M<M0, PM is a repelling spiraling point. If 3≤N≤10 and
0<M<M, PM is an attracting spiraling point.
2- If N≥11 and N−2N+2<p<N−4−2N−1N−2N−1 there exists a unique and explicit 0<M1<M such that if PM is an attracting node if 0<M<M1 and an attracting spiraling point if M1<M<M.
3- If M>M0 or if 0<M<M1, there exist no periodic trajectory in Q around PM, neither no homoclinic trajectory in Q at (0,0) surrounding PM.*
Proof. The characteristic values of the trinomial T(λ) defined in (\refI−3−13) are real if and only if its discriminant D is nonnegative. By computation we find
[TABLE]
Observing that 1−L+2K=N−1 by (\refI−3v), we deduce
[TABLE]
Hence (\refnode1) is satisfied if one of the following conditions holds:
[TABLE]
It is easy to check that for p>N−2N+2, one has 0<L−2+2N−1<qK.
Since M>0, by Proposition 2.2-(1), the mapping M↦MYMp+1p−1 is continuous, increasing and from [0,∞) into [0,∞). Therefore there exists a unique M0 such that
[TABLE]
Using (\refI−3−9) we find
[TABLE]
Concerning the upper bound in (i), there holds
[TABLE]
Then we can define M1 by
[TABLE]
which leads to
[TABLE]
Note that
[TABLE]
Hence
[TABLE]
Next we prove 3) by adapting an argument introduced in [12] for quadratic systems. We return to system (\refI−3−14a) that we write under the form
[TABLE]
which defines a, c, d with Φ and Ψ given by (\refnode7), and the trinomial (\refI−3−13) for characteristic values endows the form
[TABLE]
In the range of values of M, the discriminant D=(d+a)2−4(ad+c)=(d−a)2−4c is positive. We consider the intersection of a straight line ℓ passing through PM with equation yˉ=Axˉ with a trajectory (xˉ(t),yˉ(t)). Then
[TABLE]
We can choose A=0 such that A2+(d−a)A+c=0 since D>0. Since Φ and Ψ achieve positive values, we derive from the expression of h that U>0 for xˉ=0. This proves that any closed orbit around PM or passing by PM can intersect ℓ only one time which is a contradiction. □
3.2 Existence or nonexistence of ground states
Proposition 3.4
Let N≥3, N−2N<p≤N−2N+2 and M>0. Then there exists no radial ground state, and there exists a singular solutions u(r) such that
r→0limrp−12u(r)=XM and r→∞limrN−2u(r)=c for some c>0.
Proof. Assume that Treg remains in Q, by Lemma 2.5 we have three possibilities:
(α) either Treg converges to PM when t→∞, which is impossible since PM is a source,
(β) or Treg has a limit cycle at ∞, and this is impossible by Lemma 3.2,
(γ) or Treg converges to (0,0) when t→∞, hence it is a homoclinic orbit. The function
V defined in (\refI−3−16) is decreasing by Lemma 2.8. Since V(−∞)=V(∞)=0, it is identically [math] and so is Vt. This implies that p−12x(t)−y(t)=0 for all t which is a contradiction.
Hence Treg does not remain in Q.
We denote by Ξ the connected region of Q bordered by
the semi-axis {(x,y):x=0,y>0} and Treg. Since H is outward on the semi-axis, Ξ is negatively invariant. By Section 3.4.1, (0,0) is a saddle point, hence the stable trajectory Tst={(x(t),y(t)} satisfies
t→∞limx(t)y(t)=N−2 which implies u(r)∼cr2−N for some c>0. Its α-limit set α(Tst) cannot be a limit cycle as we have seen it above. If it contains (0,0) it implies again that
V, which is monotone, is equal to [math], hence Vt≡0 and p−12x(t)−y(t)≡0, which is impossible. Hence α(Tst) contains PM. Since PM is a source it implies that Tst converges to PM when t→−∞. □
Proposition 3.5
Let N≥3 and p>N−2N+2. Then for any 0<M≤M there exists a ground state u which satisfies
u∼UM at ∞.
Proof. If 0<M<M (resp. M=M), PM is a sink (resp. a weak sink). Suppose first that the trajectory Treg does not stay in Q, then it leaves Q at some point (0,ys) with ys>0. As a consequence, the stable trajectory Tst at (0,0) remains in the negatively invariant region Ξ defined in the proof of
Proposition 3.4. Since it cannot converge to PM when t→−∞ it admits a limit cycle surrounding PM which contradicts Lemma 3.2. Therefore Treg⊂Q and, again using Lemma 3.2, either it converges to PM when t→∞ and the proof is complete, or to (0,0) and Treg=Tst is a homoclinic trajectory. The trace of the linearized system (\refI−3−11) at (0,0) is equal to p−12−K=−L<0. Therefore, from [17, Th. 9.3.3] the connection is attracting and the trajectories inside the bounded region T bordered by the homoclinic trajectory Treg spiral towards it when t→∞. Hence any such trajectory inside T either has a limit cycle when t→−∞ which is impossible by Lemma 3.2 or converges to PM which is also impossible. Consequently there exists no homoclinic trajectory at (0,0) which ends the proof.
□
Next we study the case where M is large enough. We have already proved in [7] that for any p>1, there exists M†=M†(N,p)>0 (see introduction) such that if M>M† there exists no ground state, radial or non-radial. In the radial case we have a more precise result.
Proposition 3.6
Let N≥3 and p>N−2N+2. Then for any M≥M0 there exists no ground state, but there exist
singular solutions u which satisfy r→0limrp−12u(r)=XM and r→∞limrN−2u(r)=c>0.
Proof. Since M≥M0>M, PM is a source by Lemma 3.1, and there exist no periodic orbit neither a homoclinic trajectory at (0,0) by Lemma 3.3. Thus Treg leaves Q through the semi-axis {(0,y):y>0} by Lemma 2.5. As in the proof of Proposition 3.5 the stable trajectory Tst at (0,0) remains in the negatively invariant region Ξ already defined. Then it converges necessarily to PM when t→−∞. □
Next we study the case M<M<M0.
Theorem 3.7
Let N≥3, p>N−2N+2. There exist two positive real numbers M~min and M~max such that
M<M~min≤M~max<M0 such that,
1- For M<M<M~min there exist ground states ondulating around UM when r→∞ and positive singular solutions ondulating around UM on [0,∞).
2- For M=M~min and for M=M~max there exist ground states u such that r→∞limrN−2u(r)=c>0.
3- For M~max<M<M0 there exists no ground state and there exist singular solutions such that r→0limrp−12u(r)=XM or turning around PM when r→0, and r→∞limrN−2u(r)=c>0.
Proof. Since M is subject to vary, we put it in exponent in the different specific trajectories of the system. For M<M<M0, PM is a source and the trajectories converging toward this point when t→−∞ are spiralling. We have three possibilities:
(i) either TregM leaves Q at some point (0,ys), ys>0,
(ii) or TregM has a ω-limit set which is a periodic orbit surrounding PM,
(iii) or TregM converges to (0,0) when t→∞.
If (i) holds, then TstM remains in the region Ξ:=ΞM of Q bordered by TregM and the semi-axis {(0,y):y>0}. Then, either it converges to PM when t→−∞, or it admits an unstable (from outside) α-limit cycle. We denote by (xstM,ystM) the first backward intersection of TstM with the straight line L. Furthermore
TregM intersects L at some point (necessarily unique) (xregM,yregM). Because of the relative position of TstM and TregM, there holds
[TABLE]
If (ii) holds, then we claim that TstM leaves Q at some point (xs,0) with xs>0. Indeed, if TstM⊂Q, it is bounded by Proposition 2.3. Hence the α-limit set is non-empty. It cannot be (0,0) since TstM=TregM and TstM cannot converge to PM or have a limit cycle around PM since it would imply that TstM∩TregM={∅}. Hence TstM intersects L at some point (xstM,ystM) and
TregM intersect the first time L and (xregM,yregM). Because
TregM lies in the region of Q bordered by TstM and the semi-axis {(x,0):x>0}, there holds
[TABLE]
If (iii) holds then g(M)=0.
The function g defined for any M∈(M,M0) is continuous. We know that there exists ϵ>0 such that for any M∈(M,M+ϵ), TregM has a ω-limit cycle surrounding PM, hence g(M)<0.
If M=M0, TregM leaves Q at some point (0,ys) with ys>0 from Proposition 3.6 and the intersection of TregM with the semi-axis {(0,y):y>0} is transverse at (0,ys). By continuity with respect to the parameter M, for any M∈(M0−ϵ′,M0], for ϵ′>0 small enough, TregM leaves Q at some point of the semi-axis. So we are in situation (i) and g(M)>0.
Then, by continuity of g there exist M~min and M~max such that M<M~min≤M~max<M0
such that g(M~min)=g(M~max)=0. If M=M~min or M=M~max, TstM=TregM
and the trajectory TregM is homoclinic at (0,0). For M<M<Mmin we are in situation (ii), which proves 1. For M>M~max we are in situation (i) and
either TstM converges to PM or has a α-limit cycle surrounding PM when t→−∞. □
Theorems A and A’ follow from the previous results.
Remark. It is a challenging question to prove that there is a unique M such that there is a homoclinic trajectory at (0,0). Up to now all we can prove is that if there exist two parameters 0<M1<M2 such that for each of them there exists a homoclinic trajectory of (0,0) in QTMi:=TstMi=TunstMi (i=1, 2), then TM2 is a subset of the domain of Q limited by TM1.
4 Study of ground states of (\refI−3x) when M<0
We will distinguish the cases p≥N−2N where system (\refI−3x) admits a unique non-trivial equilibrium and 1<p<N−2N where the existence of zero, one or two equilibria depends on the value of M with respect to −μ∗ defined in (\refI−6). In order to avoid confusion we set
[TABLE]
Then μ=M if p>N−2N+2 and μ=−M if p<N−2N+2.
Proposition 4.1
*let N≥3, p≥N−2N and M<0.
1- If p≥N−2N+2, PM is a sink.
2- If N−2N≤p<N−2N+2, then PM is a sink if M<M, it is a source if
M<M<0, and PMˉ is a weak source. Moreover there exists M1<M such that PM is a node if M≤M1. If
N−2N≤p<N−4+2N−1N+2N−1, there exists M0∈(M,0) such that PM is a node for
M≥M0 and a spiraling equilibrium if M1<M<M0.*
Proof. The equation (\refI−3−13) satisfied by the characteristic roots can be written under the form
[TABLE]
Since K≥0 the product of the roots is positive; the real part of the roots is positive if and only if p+12p∣M∣YMp+1p−1+L<0. If p≥N−2N+2, then L≥0 and PM is a sink. If N−2N≤p<N−2N+2, then M is characterized by
[TABLE]
By Proposition 2.2 the function M↦MYMp+1p−1 is increasing and onto on (−∞,0). Therefore, PM is a sink if M<M and a source if M<M<0. Finally, if M=M, the two roots are imaginary and by Lemma 2.7PM is a weak source. Finally, from (\refnode1a), the characteristic roots are real if and only
[TABLE]
Notice that there always hold ∣L∣+2−2N−1<∣L∣ since N≥3. The first condition in (\refM5) requires ∣L∣+2−2N−1>0, equivalently p<N−4+2N−1N+2N−1. Since there holds N−2N<N−4+2N−1N+2N−1<N−2N+2, the conclusion follows and M0 and
M1 are given by (\refnode3) and (\refnode6). □
The most intricate case corresponds to 1<p<N−2N or N=1,2 where there may exist 0, 1 or 2 equilibria.
Proposition 4.2
*Assume N=1,2 and p>1 or N≥3 and 1<p<N−2N, M<−μ∗ and let Pj,M, j=1 or 2, be the two equilibria of (\refI−3x).
1- Then P1,M is a saddle point.
2- Let N≥3. If M<M<−μ∗, then P2,M is a source; if M<M, then P2,M is a sink; P2,M is a weak source. Moreover there exist M1<M
such that P2,M is a node for M≤M1; there exists also M0∈(M,−μ∗) such that P2,M is a node for M≤M1 or for
M0≤M<−μ∗, and it is a spiraling equilibrium if M1<M<M0.
3- Let N=2. Then P2,M is a sink. There exists M1<−μ∗ such that P2,M is a node if and only if M≤M1.
4- If N=1, then P2,M is a sink and a node.*
Proof. Recall that, from Proposition 2.2, M↦MY1,Mp+1p−1 is decreasing and M↦MY2,Mp+1p−1 is increasing.
We first consider the linearized operator at P1,M. The product of the roots of (\refM2) is equal to
2K−p+12pMY1,Mp+1p−1. Since M<−μ∗,
[TABLE]
Hence P1,M is a saddle point.
Next we consider P2,M. If M<M<−μ∗, since M↦MY2,Mp+1p−1 is increasing,
[TABLE]
and
[TABLE]
Hence P2,M is a source. If M<M, then the sign in (\refM7) is reversed and
[TABLE]
Thus P2,M is a sink. By Lemma 2.7P2,M is a weak source, and assertion 2 is proved. Finally, if N=2 and M<−μ∗=M from Lemma 2.6, therefore P2,M is a sink.
Next we look for conditions which insure that P2,M is a node. The characteristic roots are real if and only if one of the two conditions (\refnode1a) where YM is replaced by Y2,M holds:
[TABLE]
For 1<p<N−2N, M↦Φ(M):=p+12pMY2,Mp+1p−1 is an increasing diffeomorphism from (−∞,−μ∗] to
(−∞,2K]. Since L−2N−1−2<2K there exists a unique M1<−μ∗ such that Φ(M1)=L−2−2N−1 and (\refM10)-(ii) holds when M≤M1.Since L−2+2N−1>2K is equivalent to (N−2)2<0, there exists no M≤−μ∗ such that (\refM10)-(i) holds. When N=2 only M=−μ∗ satisfies (\refM10)-(i) with equality. If N≥3 there exists a unique M0<−μ∗ such that (\refM10)-(i) holds. Hence for any M0≤M<−μ∗, inequality (\refM10)-(i) holds with M0 and M1 defined by
(\refnode3) and (\refnode6).
At end assume N=1. For any M≤−μ∗(1)=−(p+1)(2pp+1)pp+1, there holds
[TABLE]
Therefore P2,M is always a sink and the discriminant of (\refI−3−13) is equal to
(p+12pMY2,Mp+1p−1−L+2)2, hence the characteristic roots are negative. □
Notations. Under the assumptions of Proposition 4.2 there exist two stable trajectories Tst1,j, j=1,2, converging to
P1,M when t→∞, associated to a negative characteristic value λ; the common slope at P1,M is p−12+∣λ∣. We assume that Tst1,1 is locally belowL and Tst1,2locally aboveL, thus these trajectories are coming from the regions C and A defined in the proof of Proposition 2.4. There exist also two unstable trajectories Tunst1,j, j=3,4, converging to
P1,M when t→−∞, associated to a positive characteristic value λ′ and the common slope at P1,M is p−12−λ′. We assume that Tst1,3 is locally belowL and Tst1,4locally aboveL, thus, in a neighbourhood of P1,M, these trajectories belong also to the regions C and A. In particular the trajectory
Tst1,1 cannot cross L, neither the segment {(x,y):x=X1M,0≤y≤Y1M}. Hence either it converges to (0,0) when t→−∞, or it crosses the axis {y=0} at some point with positive x-coordinate less than X1,M.
Remark. In the critical case M=−μ∗ there holds −p+12pμ∗Y−μ∗p+1p−1=2K=2−N−L, hence the characteristic polynomial is T(λ)=λ(λ+2−N). If N≥3 the characteristic values are [math] and N−2, with respective corresponding eigenvectors (1,p−12) and (1,p−12+2−N). There exists an invariant curve Γ passing through P1,M=P2,M, tangent
to (1,p−12) by the center manifold theorem. If N=2 the two characteristic values are [math] with the eigenspace generated by (1,p−12) which is tangent to the central manifold (a curve) at (0,0).
Next we look for the existence of limit cycles. Since M<0, we cannot argue using the convexity argument used in Lemma 3.2. We use system (\refI−3−6) which also has a convexity property, as we will see it in the proof below.
Lemma 4.3
*1- If N≥3 and p≥N−2N+2 and M<0, there is no cycle surrounding PM.
2- If N≥3, N−2N<p<N−2N+2 and M≤M<0, there is no cycle surrounding PM.
3- If N≥3 and 1<p<N−2N or N=2 and M≤M≤−μ∗, there is no cycle surrounding P2,M.*
Proof. For 1, assume that there exists a periodic trajectory (x(t),y(t) surrounding PM. By Green’s formula,
[TABLE]
Since L≥0 and M<0 we obtain a contradiction. This proves the first assertion.
For 2 and 3 we assume that γ0⊂Q is a cycle surrounding PM or P2,M and we denote by Γ0 the bounded domain bordered by γ0. By Proposition 4.1 and Proposition 4.2, PM and P2,M are sources. We use the system (\refI−3−6). Setting J(σ,z)=(σpz)p+11, it becomes
[TABLE]
In the phase plane (σ,z) the equilibrium PM becomes
[TABLE]
Similarly
P2,M becomes {{\mathcal{P}}}_{\!2,M}=(\sigma_{2,M},z_{2,M})=\Bigl{(}\frac{Y_{2,M}}{X_{2,M}},\frac{X^{p}_{2,M}}{Y_{2,M}}\Bigr{)}=\Bigl{(}\tfrac{2}{p-1},\left(\tfrac{p-1}{2}\right)^{p}Y_{2,M}^{p-1}\Bigr{)} and PM and P2,M are sources. Hence, any trajectory converging to this point PM (or P2,M) admits an omega-limit cycle γ⊂Γ0. Consequently this cycle is not unstable which implies that the Floquet integral relative to this T-periodic solution is nonpositive:
[TABLE]
The computation gives
[TABLE]
We set σ=σM+σ and z=zM+z (the computation would be the same with (σM,zM) replaced by (σ2,M,z2,M)), then
[TABLE]
By addition
[TABLE]
Integrating on a period, we get ∫0Tσ(t)dt=0. We also derive from (\refM12)
[TABLE]
Furthermore, σM+2−N+zM+MJ(σM,zM)=0. Indeed
[TABLE]
Next we show that the function J is concave on Q:={(σ,z):σ>0,z>0}: indeed
[TABLE]
where a, b and c depend on σ, σM, z and zM and:
[TABLE]
[TABLE]
where (σθ,zθ)=(θσ+(1−θ)σM,θz+(1−θ)zM) for some θ∈(0,1). Since
[TABLE]
then aσ2+2bσz+cz2=a(σ+abz)2=−2R2(t)≤0 and from (\refM14),
[TABLE]
thus
[TABLE]
When M<0 we have already seen that YM>y0,M:=(p−12(p+1−M)p1)p−1p+1, defined in (\ref1−3−10a) (resp. Y2,M>y0,M), which yields
Combining (\refM16) and (\refM18) we obtain I>0 which contradicts the nonpositivity of the Floquet integral in the case M>M. Finally,
if M=M, then ∫0Tz(t)dt=0, which implies by (\refM15) that R≡0 on the omega-limit cycle γ.
Using the expression of R(t) we infer
[TABLE]
for θ=θ(t)∈(0,1). This is clearly impossible if one considers points at the intersection of γ and the straight line L. The same argument holds when N=2 where M=−μ∗. □
Remark. The above proof can easily be adapted to recover the second statement of Lemma 3.2. Indeed, if p>N−2N+2 and
0<M<M, PM is a sink. Hence if there is a cycle surrounding PM, we can assume that it is an α-limit cycle, say γ, and the integral I given by (\refM13) is nonnegative by Floquet’s theory. The inequality (\refM15) yields ∫0Tz(t)dt>0 since
1+p+1MσMp+1pzM−p+1p>1. For M<M there holds p+12pMYMp+1p−1<L from the monotonicity of M↦MYMp+1p−1, which contradicts the sign of I.
In the next statement we extend [14, Prop. 5.6], which was proved in the case 1<p<N−2N, but valid actually for any p>1, and give precision on the behavior of the solutions. The constant
[TABLE]
plays an important role. Recall also that μ∗(1)>μ∗:=μ∗(N) for N≥2.
Lemma 4.4
Let p>1. If N≥2 and M≤−μ∗(1) or N=1 and M<−μ∗(1), then there exists a ground state u. Furthermore there holds
[TABLE]
As a consequence, the corresponding trajectory Treg={(xreg(t),yreg(t))}t∈R does not converge to (0,0) when t→∞. If 1<p<N−2N and N≥3 or p>1 and N=1,2, Treg does not converge to P1,M when t→∞.
Proof. Let u be a regular solution of (\refI−1) with u(0)=1 and ur(0)=0. As in [14] we set
[TABLE]
Then G(0)<0 and u>0 on some maximal interval [0,r1) with r1≤∞. If there exists a minimal r0≤r1 such that G(r0)=0, then Gr(r0)≥0. From (\refI−1) we have
[TABLE]
Since G(r0)=0, up(r0)=(2pp+1)p+1p∣ur(r0)∣p+12p, hence
[TABLE]
Since ur(r0)<0 we obtain a contradiction. Therefore G(r)<0 for any r∈(0,r0). By continuity this implies (\refM19) and in particular u(r)>0, hence u is a ground state. Inequality (\refM19) implies
[TABLE]
from which follows
[TABLE]
This implies that the trajectory Treg does not converge to (0,0) at infinity (a result which was clear when 1<p<N−2N in which case (0,0) is a source). For the last statement we have with the equation (\refI−3−9−) satisfied by the equilibrium XM and the fact that M≤−μ∗(1),
[TABLE]
Since f~M has two roots 0<X1,M<X2,M by Proposition 2.2 and M≤−μ∗(1)<−μ∗(N), and we have (p(p−1)22(p+1))p−11>X1,M, the result follows.
□
Next we give an alternative proof of a result of [16].
Lemma 4.5
Let N=1,2 and p>1 or N≥3 and 1<p<N−2N. If −μ∗<M≤0 there exists no ground state.
Proof. If −μ∗<M<0, the only equilibrium of (\refI−3x) is (0,0) and it is a source by Section 3.4.1. If there exists a ground state then the trajectory Treg remains in Q. It is bounded by Proposition 2.4 hence it admits an ω-limit set which either contains an equilibrium or is a periodic orbit. The two possibilities are excluded. □
Next we study the case M≤−μ∗. In particular we cover the case M=−μ∗ studied in [22] with a different proof, using the energy function Z defined in (\refI−21.1).
Lemma 4.6
Let N≥3 and 1<p<N−2N, or N=2 and p>1. If M≤−μ∗ then,
(i) Treg cannot converge to P1,M as t→∞ with t↦x(t) increasing,
(ii) Treg cannot intersect L at a point between (0,0) and P1,M.
Proof. The function Z defined by (\refI−21.1) satisfies (\refI−21.3) and (\refI−21.4). Then
U>0 as soon as
[TABLE]
For M≤−μ∗, there holds from Proposition 2.2 and (\refI−3−10),
[TABLE]
Indeed we check that
[TABLE]
Hence U>0 for any y∈[0,Y1,M].
(i) Suppose that Treg converges to P1,M with x(t) increasing, hence (x(t),y(t)) is below L and y(t) is also increasing. Then from (\refI−21.3)r↦ep+12p∣M∣∫0r∣ur∣p+1p−1dsZ(r)
is increasing. But Z(0)=0 and r→∞limZ(r)=0 from (\refI−21.2) since L<0 and x and y are bounded. This is a contradiction.
(ii) Suppose that Treg intersects L at a point (x~M,y~M) between (0,0) and P1,M, i.e. y~M<Y1,M.
(a) If M<−μ∗, then consider the stable trajectory Tst1,1 at P1,M which is below L: Tst1,1 cannot converge to (0,0) when t→−∞; indeed it would be a unstable trajectory at the source point (0,0) and since Treg is the unique fast unstable trajectory at this point (see Section 2.4.1), it is below Tst1,1 near zero and the two curve would intersect. Therefore Tst1,1 leaves Q through the semi-axis {(x,0):x>0} at some
at some x=x(τ) and (x(t),y(t))∈Q for t>τ. Setting rˉ=eτ, there holds
Z(rˉ)=rˉaup+1(rˉ)>0 and again r↦ep+12p∣M∣∫r∞∣ur∣p+1p−1dsZ(r) is increasing with limit [math] as r→∞, a contradiction.
(b) If M=−μ∗ and Treg:=Treg−μ∗ intersects L at some point between (0,0) and
P−μ∗, then by continuity and transversality, TregM intersects L at some point between (0,0) and P1,M if −μ∗−ϵ≤M<−μ∗ provided ϵ>0 is small enough. This contradicts (a). □
Proposition 4.7
Let N≥3 and 1<p<N−2N or N=2 and p>1.
(i) If M<−μ∗ and Treg does not converge to P2,M, then it intersects the line L at some point (x,y) with x>X2,M.
(ii) If M=−μ∗ then Treg intersects L at some point (x,y) with x>X−μ∗ and leaves Q; there is no ground state.
Proof. (i) Suppose M<−μ∗. If Treg remains below L, then xt>0, yt>0 and Treg
converges to P1,M or P2,M The first limit is excluded by Lemma 4.6 and the second by assumption. Hence
Treg intersects L. This intersection cannot occur between (0,0) and P1,M and between
P1,M and P2,M since the vector field H is inward in the region B on this segment, so it occurs at some point
(x,y) with x>X2,M.
(ii) Suppose M=−μ∗. By Lemma 4.6, Treg intersects L at some point (x,y) with x>X−μ∗ and it enters in the region D (note that the region B is empty).
Consider the slope σ=xy of the trajectory Treg. As long as Treg stays under L,
σ>p−12. Now we introduce the system (\refI−3−5), (\refI−3−6) and set κ=σz=y2xp+1. Hence
[TABLE]
with
[TABLE]
The function ϕ achieves its minimum at κ∗=(p+1μ∗)pp+1 and
ϕ(κ∗)=2(N−2)(p−1). Thus
[TABLE]
Thus σ is nondecreasing. Therefore, after crossing L, σ>p−12 and Treg cannot converge to P−μ∗. □
4.1 Ground states and large solutions when M<0
The following result extends [7, Theorem B’] to a larger class of parameters M in the radial case. We recall that μ∗(1) and μ∗(2) are defined in (\refI−6).
Proposition 4.8
Assume N≥2, p>1 and M>−μ∗(1). Then there exists no positive solution of (\refI−1) in (a,b) for a<b tending to infinity at r=a.
Proof. Without loss of generality we can assume a=1. If M≥−μ∗(2) the result follows from [7, Theorem B’], hence we can assume
−μ∗(1)<M<−μ∗(2). We put m=∣M∣>0 and
[TABLE]
If u satisfies (\refI−1) and blows-up at r=1, then v=lnu satisfies
[TABLE]
Up to changing b, we can assume that u(b)≥1, it follows that v is bounded from below on (1,b) by the solution of
[TABLE]
It is classical, (see e.g. [21]) that w(r)−p−12ln(r−11) remains bounded on (1,b). Returning to the variable (x(t),y(t)) solutions of (\refI−3x), then x(t)≥ct−p−12 on (0,lnb).
(i) We first observe that tp−12x(t) and
tp−1p+1y(t) remain bounded on (0,lnb). Indeed, by the equation satisfied by y we get
[TABLE]
and there exists a sequence {tn} converging to [math] such that y(tn)→∞. Furthermore z(t)=eKty(t) satisfies
[TABLE]
Therefore y(t)≥c3t−p−1p+1. Using the equation (\refI−3−2) we first observe that xt remains negative in a right neighbourhood of [math] otherwise there would exists a sequence {tn} decreasing to [math] where xt(tn)=0 and xtt(tn)≥0 yielding
[TABLE]
which is impossible since x(tn)→∞. Similarly yt remains negative on some interval (0,τ1) otherwise there would exists a sequence {tn′}decreasing to [math] such that yt(tn′)=0 and ytt(tn′)≥0. Since
[TABLE]
and xt≤0 we derive a contradiction. Therefore y(t)→∞ as t→0, yt≤0 and
[TABLE]
which implies
[TABLE]
near t=0. Using again (\refI−3x) and the monotonicity of x(t) and y(t),
[TABLE]
which yields 0≤y(t)≤c7t−p−1p+1t near t=0.
(ii) Next we set κ(τ)=(r−1)p−12u(r) with τ=ln(r−1). Then κ satisfies on (−∞,β] for some β∈R
[TABLE]
and κ and κτ remain bounded from above and from below on (−∞,a]. Therefore the limit set Σ of the corresponding trajectory at −∞ is not empty and it is included in the limit set Σ~ at −∞, of some trajectory of a nonnegative function satisfying the autonomous system
[TABLE]
Which is precisely equation (\refI−3−2) in dimension 1. By the Poincaré-Bendixon theorem, Σ~ either contains an equilibrium or it is a limit cycle. If the limit set contains an equilibrium, say W, it is positive and satisfies
[TABLE]
Since M>−μ∗(1) the only nonnegative root is zero, which yields a contradiction. If the limit set is a cycle γ, it is a subset of
Q. This imply that there would exist an equilibrium in the region bordered by γ, contradiction. This ends the proof. □
Corollary 4.9
Assume N≥2, p>1 and −μ∗(1)<M≤−μ∗. Then any solution (x(t),y(t)) of system (\refI−3x) issued from a point (x0,y0)∈Q and staying in Q for t∈I(x0,y0)∩R− where I(x0,y0) is the maximal interval of existence of this solution is defined on R− and is bounded therein.
Proof. Consider any solution such that (x(0),y(0)=(x0,y0)∈Q and suppose its negative trajectory T-** is defined on some maximal interval (θ,0] with θ∈(−∞,0) and thus unbounded. We first suppose that
t↦x(t) is not monotone when t→θ. Then there exists a sequence {tn} decreasing to θ such that xt(tn)=0 and thus an=(x(tn),y(tn))∈L, xtt(tn)=yt(tn)<0 and limtn→θx(tn)=∞.
Consider now the regular trajectory Treg.
If p≥N−2N then, from Lemma 2.5, either Treg converges to PM when t→∞, or it crosses L at a point (x∗,p−12x∗) with x∗>XM. If n is such that x∗<x(tn) we get a contradiction: indeed for t<tn−1, T-**
stays in the region bordered from above by L and Treg, so it cannot intersect L at an.
If 1<p<N−2N, we infer the same contradiction using Proposition 4.7.
Therefore x(t) decreases monotonically to ∞ when t→θ. Since M>−μ(1) we derive a contradiction.
Hence infI(x0,y0)=−∞. By the same reasons as above, t↦x(t) is monotone decreasing and
x(t)→∞ when t→−∞, and y(t)>p−12x(t)→∞. Moreover there exists tˉ<0 such that yt(t)≤0: indeed , if for some t0<tˉ, yt(t0)>0, then (x(t0),y(t0))∈D and necessarily (x(t),y(t) remains in D for
t≤t0 because xt(t)<0 implies that (x(t),y(t)∈D∪A and the backward trajectory cannot cross the curve C where yt=0; now this implies that yt(t)>0 for t≤t0, a contradiction. Therefore yt(t)≤0 for t≤tˉ. Then
[TABLE]
Since x(t)→∞, we deduce for large ∣t∣,
[TABLE]
Returning to the system (\refI−3x), we get for large ∣t∣
[TABLE]
Since 2p+1>1, it is straightforward to check by integration that a positive function x satisfying the above differential inequality cannot be defined on a interval unbounded from below, which ends the proof. □
Proposition 4.10
Assume p>1 and −μ∗(1)<M<−μ∗(1)+ϵ for ϵ>0 small enough. Then there exists a ground state and
(\refM19) still holds.
Proof. Assume −μ∗(1)<M<−μ∗(1)+ϵ and the regular solution u is not a ground state. Then using the notation of Lemma 4.4 there exists r0>0 such that G(r0)=0 and G′(r0)≥0. Hence ur2(r0)=p+12purp+1(r0)=0, thus
[TABLE]
Put t0=lnr0, then y2(t0)=p+12pxp+1(t0) and N−1≤∣y(t0)∣p+1p−1(μ∗(1)+M). Equivalently
[TABLE]
The curve {(x,y):y2=p+12pxp+1} cuts L at a unique S0=(x0,y0)∈Q and y0p−1=2pp+1(p−12)p+1. If M=−μ∗(1) and p≥N−2N (resp. 1<p<N−2N), then X−μ∗(1)>x0 (resp. X2,−μ∗(1)>x0). Indeed
this follows from (\ref1−3−10a). In the same way, if 1<p<N−2N, then X1,−μ∗(1)<x0. These configurations still hold if ϵ is small enough, i.e. X−μ∗(1)+ϵ>x0 if p≥N−2N and X1,−μ∗(1)+ϵ<x0<X2,−μ∗(1)+ϵ if 1<p<N−2N. However, the regular trajectory associated to M, TregM has a unique intersection with L, at a point (xreg(t1),yreg(t1) where xreg(t1) is maximal, and either p≥N−2N and xreg(t1)>X−μ∗(1)+ϵ, or 1<p<N−2N and xreg(t0)>X1,−μ∗(1)+ϵ. In both cases t1<t0, yreg(t1)=p−12xreg(t1) and
xreg(t1)>(2pp+1)p+11(ϵN−1)p−12. Now, for M>−μ∗(1) the trajectory
TregM remains above Treg−μ∗(1) as long as they remain below L by Lemma 2.9. Then we encounter two possibilities: either Treg−μ∗(1) converges to P−μ∗(1) (or P2,−μ∗(1) if 1<p<N−2N) with x(t) and y(t) increasing, or Treg−μ∗(1) crosses L at some point (x~,y~) depending only on N and p. Both possibilities are ruled out if ϵ is small enough. Hence TregM is a ground state if
M∈(−μ∗(1),−μ∗(1)+ϵ] for ϵ>0 small enough and G remains negative. □
4.2 The case M<0, N≥3 and p≥N−2N+2
Theorem 4.11
Assume M<0, N≥3 and p≥N−2N+2. Then there exist ground states u. Moreover they satisfy u(r)∼UM(r) as r→∞.
Proof. Let (xreg(t),yreg(t)) be the regular solution issued from (0,0). By Lemma 2.8 the function V defined in (\refI−3−16) is increasing. Since it vanishes at t=−∞ it is positive. If there exists some t0 such that xreg(t0)=0 then V(t0)<0, which is impossible, hence
xreg(t)>0 for all t. Thus Treg is a ground state; it is bounded by Proposition 2.4, and it cannot converge to (0,0) since
V(t)>V(−∞)=0. From Lemma 4.3 there is no cycle , hence Treg converges to PM which is a sink. □
Remark. The existence of a ground state was already obtained in [19] with the use of the function Z defined in
(\refI−21.1).
4.3 The case M<0, N≥3 and N−2N<p<N−2N+2
In what follows we give an improvement of [22, Theorem A] in which it is shown that in this range of exponent there exists some ω>0
such that −ω≤−M<0 there exists no ground state. The expression of ω is explicit (and not simple).
Theorem 4.12
Assume N≥3 and N−2N<p<N−2N+2. If M≤M<0 there exists no ground state. Moreover there exists a unique, up to similarity transformation, positive solution u satisfying u(r)∼UM(r) as r→0 such that u(r)∼cr2−N (c>0) as r→∞.
Proof. Suppose that there exists such a ground state, then Treg remains in Q. By Proposition 4.1, PM is either a source if M<M or a weak source if M=M, and by Lemma 4.3 there exists no cycle surrounding PM. By Lemma 2.5, (xreg(t),yreg(t)) converges to (0,0) when t→∞, hence Treg is a homoclinic orbit equivalently Treg=Tst=Tunst. Now
[TABLE]
Hence, by [17, Th 9.3.3] the homoclinic orbit is repelling. Since PM is also repelling, we derive a contradiction because any trajectory issue from B must converge to Treg. Hence Treg intersects the axis {x=0} for some positive y1>0, and there exists no ground state. We denote by O the region of Q delimited by the regular trajectory Treg and the segment (0,y):0<y<y1. It is negatively invariant. The stable trajectory Tst={(xst,yst)} of (0,0) satisfies xst(t)=ce−Kt(1+o(1)) and
yst(t)=c(N−2)e−Kt(1+o(1)) when t→−∞, thus it remains in O. Because there are no cycle in O, it must converge to PM, hence the corresponding ust is equivalent to UM near r=0, which ends to proof. □
Remark. In the previous theorem the positive solution u satisfying u(r)∼UM(r) as r→0 such that u(r)∼cr2−N (c>0) as r→∞ is the stable trajectory Tst. It is a heteroclinic orbit connecting (0,0) to PM.
We conjecture that in the case p=N−2N the non existence of a ground state still holds and that there exists a unique solution u such that satisfying u(r)∼UM(r) as r→0 such that u(r)∼cr2−N(lnr)22−N (c>0) as r→∞.
The expression of the result presents some similarity with Theorem 3.7 in the case M>0. However a new type of difficulty appears: in order to define properly an intersection function expressing the distance between some trajectories as in [4], we need to find some values of the parameter M for which there exists a ground state, and all the trajectories in Q are bounded. It is not the case when M<−μ∗(1) even if there exists a ground state by Lemma 4.4 but we can easily prove that there exist large solutions. So we need to prove that for
M=−μ∗(1)+ϵ there exist a ground state and all the trajectories in Q are bounded. This is the object of Proposition 4.10 and
Proposition 4.8.
Theorem 4.13
Let N≥3 and N−2N<p<N−2N+2. There exist positive constants μ~min≤μ~max, verifying μ<μ~min≤μ~max<μ∗(1) such that
(i) If M<−μ~max there exist ground states u such that u(r)∼UM(r) or ondulating around UM(r) when r→∞.
(ii) If M=−μ~max or If M=−μ~min there exist ground states u such that u(r)∼cr2−N, c>0, when r→∞.
(iii) If −μ~min<M<0 there exists no ground state. Furthermore there exist singular solutions u ondulating around UM(r) when r>0 and singular solutions u ondulating around UM(r) when r→0 and such that u(r)∼cr2−N, c>0, when r→∞.
Proof. Recall that M=−μ. First we show that if −μ∗(1)<M<M, the stable trajectory Tst:=TstM either has a limit cycle around PM
or does not stay in Q. If we assume that it stays in Q, then it is bounded by Corollary 4.9. Since at −∞ it cannot converge to PM which is a sink by Proposition 4.1, it admits a alpha-limit cycle which is a closed orbit around PM.
For −μ∗(1)<M<M we denote by
PstM=(xstM,xstM) the farthest point of the closure Tst of the trajectory Tst belonging to the line L, i.e. the points with the largest x (and y)-coordinate. We also denote by PregM=(xregM,xregM) the farthest point of the intersection of L with the closure Treg of Treg:=TregM. More precisely since either Tst leaves Q or has an alpha-limit cycle around
PM, in that case PstM corresponds to the last intersection of Tst and L. If Treg converges to PM monotonically, then PregM=PM∈Treg, while if this convergence is not monotone, or if Treg admits a omega-limit cycle around PM, or if Treg leaves Q, PregM is the first intersection of Treg with L. Both the functions
M↦xstM and M↦xregM are continuous, either by transversality argument or by the continuity of M↦XM.
Hence the function M↦g(M)=xregM−xstM is continuous. For M<M we encounter three possibilities:
(i) xregM=XM or Tst converges to XM non-monotonicaly, or Treg has a omega-limit cycle around PM. In such a case Tst does not stay in Q, thus g(M)<0.
(ii) Treg does not stay in Q, then Tst belongs to the region of Q bordered by Treg and the axis
{x=0}. Then thus g(M)>0.
(iii) g(M)=0, then Tst=Treg is a homoclinic orbit.
If M=M there exists no ground state by Theorem 4.12 hence, by continuity, this still holds for M−ϵ<M<M for ϵ>0 small enough and then g(M)>0. By Proposition 4.10, if −μ∗(1)<M<−μ∗(1)+ϵ, there exists a ground state, hence
g(M)<0. Since g is continuous there exists M∈(−μ∗(1),M) such that g(M)=0.
If we define
[TABLE]
then the trajectories Treg corresponding to M=−μ~min and M=−μ~max are homoclinic and they satisfy the statements (ii) of Theorem 4.13 and the conclusion follows. □
The proof of Theorem B, B’ follows from Theorem 4.12 and Theorem 4.13.
4.4 The case M<0 and 1<p<N−2N
We present first a general existence result of singular solutions.
Proposition 4.14
If N≥3, 1<p<N−2N and M<−μ∗ there exists positive singular solutions u such that
rN−2u(r)→c for some c>0 when r→0 and rp−12u(r)→X1,M when r→∞.
Proof. By Proposition 4.2P1,M is a saddle point of system (\refI−3x). By the remark after this proposition there exist two stable trajectories Tst1,j, j=1,2 converging to P1,M as t→∞; the trajectory Tst1,1 is locally below the line L (see Proposition 4.7), hence it belongs to the region C for t>t0. By Proposition 4.7 either the regular trajectory Treg converges to P2,M or it crosses the line L beyond P2,M. Hence Tst1,1 cannot intersect Treg, and is trapped when t decreases in the region C and the curve Treg. Thus it converges to (0,0) when t→−∞. Because (0,0) is a source
(see Section 3.4.1) with one fast trajectory Treg, which satisfies
t→−∞lime−p−12txreg(t)=u(0), the trajectory Tst1,1 is a slow one and it satisfies
t→−∞lime(N−2−p−12)txreg(t)=c. □
Remark. Under the assumptions of Proposition 4.14 the trajectory Tunst1,4 leaves Q since in this region it stays in the sector
{(x,y):Hj(x,y)<0} for j=1,2, and this sector contains no stable equilibrium. The result holds also if M=−μ∗.
Theorem 4.15
*Let N≥3 and 1<p<N−2N. Then
(i) if M≤M≤0 there exists no ground state.
(ii) if M≤M<−μ∗ there exists a positive singular solution u, unique up to scaling, such that u(r)∼U2,M(r) as r→0, u(r)∼U1,M(r) as r→∞ and u(r)>U1,M(r) for any r>0.*
Proof. (i) Let M≤M≤0. Suppose that there exists a ground state Treg, then M≤M<−μ∗ by Lemma 4.5, and by Proposition 4.7. Furthermore this trajectory is bounded by Proposition 2.4. Moreover P2,M is a source or a weak source and there exists no cycle surrounding it by Proposition 4.2 and Lemma 4.3. Hence Treg converges to an equilibrium which cannot be (0,0) neither P2,M. So, from Proposition 4.7, it converges to P1,M from above L as t→∞. Since P1,M is a saddle point Treg must coincide with the stable trajectory Tst1,2 of this point. Therefore the region bordered by Treg, Tst1,1 and (0,0) is invariant and it contains only one source equilibrium and no cycle around P2,M by Lemma 4.3. Any trajectory starting from this region must converge to P1,M which is impossible. Hence Treg is not a ground state. Since the trajectory Treg intersects the axis {x=0}, the trajectory Tst1,2 which converges to P1,M at infinity from above L is trapped in the region bordered by Treg and the semi-axis {(0,y):y>0} which is negatively invariant. As there is no cycle in this region, it converges to P2,M when t→∞. To this trajectory corresponds a solution u of (\refI−1) which satisfies u(r)∼U2,M(r) when r→∞ and u(r)∼U1,M(r) when r→0. Furthermore u(r)>U1,M(r) for all r>0. □
The next result extends Proposition 4.14 to the case M=−μ∗.
Proposition 4.16
Let N≥3 and 1<p<N−2N. If M=−μ∗ there exists positive solutions u satisfying u(r)∼cr2−N
when r→0 for some c>0 and u(r)∼U−μ∗(r) when r→∞.
Proof. Since N≥3, there still exist two unstable trajectories Tunst1,j (j=3,4) starting from P1,M with slope N−2; Tunst1,4, which is above L, leaves Q through the semi-axis {(0,y):y>0} (see the remark above). From Proposition 4.7 the trajectory Treg crosses L at a unique point Areg=(xreg,p−12xreg) with xreg>X−μ∗ and leaves Q through the semi-axis {(0,y):y>0} and its exit point is above the exit point of Tunst1,4. Hence the other unstable trajectory Tunst1,3 which is trapped in the region of Q bordered by Tunst1,4, Treg and the semi-axis {(0,y):y>0}, either converges to P−μ∗ or leaves Q crossing the semi-axis {(0,y):y>0}. Necessarily it intersects the line L at some point A=(x,p−12x) with x>X−μ∗ and enters the region D. As long as it stays above L, as in the Proposition 4.7, there holds σt>0 (with the notations from this proposition). Thus it cannot converges to P−μ∗. Therefore Tunst1,3 crosses the semi-axis {(0,y):y>0} between the exit points of Tunst1,4 and Treg.
Let R be the open connected region of Q below the line L and bordered by Treg and Tunst1,3. If (x~,y~)∈R and T~ is the trajectory through this point, we have three possibilities:
(i) Either T~ leaves R crossing L between (0,0) and P−μ∗,
(ii) Or T~ leaves R crossing L between P−μ∗ and A,
(iii) Or T~ converges to P−μ∗.
The set of points satisfying (i) or (ii) are non-empty, disjoint and open. Therefore the set of points satisfying (iii) is non-empty and the corresponding trajectory T~ converges to P−μ∗ when t→∞. The backward trajectory remains in R which is negatively invariant. Since there is no fixed point in this region, it converges to (0,0) when t→−∞ and it is a slow trajectory of this point, which ends the proof. □
Next we describe the behaviour of the positive solutions for M<−μ. However, in order to use the method introduced in the proof of Theorem 4.13 we are confronted to another difficulty namely that there can exist homoclinic trajectories at P1,M.
Theorem 4.17
Let N≥3, M<0 and 1<p<N−2N. Then there exist positive real numbers μ<μ^min≤μ^max<μ~min≤μ~max<μ∗(1) with the following properties
1- for μ<∣M∣<μ~min there is no radial ground state;
2- for ∣M∣=μ~min or ∣M∣=μ~max there exist ground states u satisfying u(r)∼U1,M(r) when r→∞;
3- for ∣M∣>μ~max there exist ground states either such that u(r)∼U2,M(r) when r→∞ or ondulating around
U2,M(r) when r→∞.
Moreover,
4- For μ<∣M∣<μ^min there exist solutions u, necessarily singular, ondulating around U2,M as r→0 and u(r)∼U1,M(r) when r→∞ and solutions u ondulating around U2,M on (0,∞);
5- for ∣M∣=μ^min or ∣M∣=μ^max there exists a solution u=U1,M such that u(r)∼U1,M(r) both when r→0 and r→∞;
6- for μ^max<∣M∣<μ~min there exists a solution u such that u(r)∼cr2−N as r→0 and either
u(r)∼U2,M(r) or ondulating around U2,M when r→∞.
Proof.Step 1. For M=M we know the behaviour of the solutions from Theorem 4.15. The trajectories Treg, Tunst1,3
and Tunst1,4 leave Q on {(0,y):y>0} with transverse intersections, and Tunst1,2 connects P2,M to P1,M. This transversality property is also true for the corresponding trajectories with parameter M−ϵ0≤M≤M for ϵ0>0 small enough. Let Mϵ=M−ϵ where 0<ϵ≤ϵ0. Then P2,Mϵ is a sink by Proposition 4.2. By Proposition 4.7, the points P1,Mϵ and P2,Mϵ
belong to the region Rϵ bordered by Treg, and the semi-axis {(0,y):y>0}. The trajectory Tst1,2 which converges to
P1,Mϵ at ∞, cannot converge to P2,Mϵ at −∞. Hence it has a limit cycle around P2,Mϵ. Note that Tst1,2 is included in the region bordered by Tunst1,3 and Tunst1,4.
For α>0 small enough set Mα=−μ∗(1)+α. By Proposition 4.10 the corresponding regular trajectory Treg is a ground state. Since (0,0) is a source and (\refM19) holds, it cannot converge neither to (0,0) nor to P1,Mα as in Lemma 4.4. Hence either it converges to P2,Mα
at ∞ or it admits a limit cycle around. Next, Tunst1,3 is trapped in the positively invariant region bordered by Tst1,1 which connects (0,0) to P1,M, the portion of the curve C below L (hence between P1,M and P2,M) and Treg between (0,0) and its second intersection with C; therefore, it converges to P2,Mα at ∞ or it admits a limit cycle too. Finally consider the trajectory Tst1,2 which tends to P1,Mα at ∞. It stays in the negatively invariant region {(x,y):y>p−12x or x>X1,M}. If it stays in Q, then the solution is defined on R and the trajectory is bounded from Corollary 4.9. So, either it converges to a fixed point or it has a limit cycle around P2,Mα when t→−∞. This is impossible since it would intersect Treg. Hence for M=Mα, Tst1,2 leaves Q in finite time at (x(tˉ),0) for some x(tˉ)>0. Then there exist t0>t1>tˉ such that yt(t0)=0 and y(t0) is the maximum of
y on (tˉ,∞) and (x(t1),y(t1))∈L. Hence x(t)≤x(t1) for tˉ≤t≤t1.
Step 2. Next consider any M∈(−μ∗(1),M). In any case the trajectories Tst1,2 and Treg are bounded as long as the stay in Q from Corollary 4.9. Then we define (xregM,yregM) as the farthest point on L belonging to the closure Treg of Treg, and (xstM,ystM) as the farthest point on L belonging to Tst.
Let A be the set of M∈(−μ∗(1),M) such that there is no ground state, let B1 be the set of M∈(−μ∗(1),M) such that there exists a ground state converging to P1,M at ∞ and let B2 be the set of M∈(−μ∗(1),M)
such that there exists a ground state converging to P2,M or having a limit cycle at ∞. Then (−μ∗(1),M)=A∪B1∪B2. Clearly M∈A and Mα∈B2, furthermore if M∈A∪B1∪B2 we have three possibilities.
∙ Any M∈B2 has the same properties as Mα, hence Treg is a ground state which converges to P2,M or has a limit cycle around P2,M; Tunst1,3 either converges to P2,M or has a limit cycle around P2,M; and Tst1,2 intersects L at a last value t1.
∙ If M∈A, Treg is not a ground state and it leaves Q through the semi-axis {x=0,y>0}; Tst1,2 and Tunst1,3 are included in the region of Q bordered by Treg and three configurations are possible:
A-(i) either Tst1,2 has a limit cycle around P2,M and Tunst1,3 leaves **Q
**A-(ii) or Tunst1,3 converges to P2,M or has a limit cycle around.
A-(iii) or Tst1,2=Tunst1,3 which means this trajectory is homoclinic with respect to P1,M.
Note that Mϵ satisfies A-(i).
As in the proof of Theorem 4.13 the mappings
M↦xregM and M↦x1,2M are continuous. We set g(M)=xregM−x1,2M. If M∈A, then
g(M)<0 and if M∈B2, then g(M)>0. Since g is continuous there exists M∈(−μ∗(1),−μ) such that g(M)=0. Hence Treg=Tst1,2 and B1=∅. More precisely we can define μ<μ~min<μ~max<μ∗(1) such that μ~min∈B1, μ~max∈B1. If ∣M∣<μ~min, g(M)>0 and there is no ground state. If ∣M∣>μ~max, g(M)<0 and there exists a ground state u such that rp−12u(r)→X2,M or such that rp−12u(r) is turning around X2,M as r→∞.
Finally we consider the relative position of Tst1,2 and Tunst1,3 when M∈[−μ~min,−μ). In any of the three situations A-(i), A-(ii) and A-(iii), L intersects Tunst1,3 at a first point of x-coordinate x1,3M and Tst1,2 at a last point of x-coordinate x1,2M. We define the continuous function M↦h(M)=x1,3M−x1,2M. Then h(Mϵ)>0 and h(−μ~min)=x1,3M−xregM<0. Hence there exists at least one
M∈(−μ~min,−μ) where h(M)=0 and for such a M, A-(iii) holds. Then we define μ^min and μ^max in (μ,μ~min) such that A-(iii) holds if ∣M∣=−μ^min or if ∣M∣=−μ^max. Hence, if −μ^min<M<−μ, h(M)>0 and the trajectory Tunst1,3 starts from P1,M and converges to P2,M or has a limit cycle around P2,M. If −μ^max<M<−μ~min, h(M)<0 and the trajectory Tst1,2 starts from (0,0) with the slope N−2 and converges to P1,M when t→∞. □
*Proofs of Theorem C and C’. *They are a consequence of Proposition 4.14, Theorem 4.15, Proposition 4.16 and Theorem 4.17.
Remark. It is an open problem whether the cycles which may exist for some M are unique or not. It is a numerical evidence that it holds if M>0, but unclear if M<0.
4.5 The case M<0, N=2 and p>1
A first difficulty in this case comes from the fact that there exist singular solutions u with a logarithmic blow-up. The main difficulty comes from the equality of μ∗(2) and μ. Hence −μ is no longer a weak source as in the case N>2.
Theorem 4.18
*Assume N=2, p>1. There exist positive numbers μ~min and μ~max
such that −μ∗(2)<μ~min≤μ~max<μ∗(1) with the following properties:
1- For −μ~min<M<−μ∗(2) there exists a ground state.
2- for M<−μ~max there exists a ground state u either such that u(r)∼U2,M(r) or ondulating around U2,M(r) when r→∞.
3- M=−μ~min there exists a ground state u such that u(r)∼U1,M(r) when r→∞.*
Proof. If M=M=−μ∗(2) there exists no ground state from Proposition 4.7. By continuity this property is still valid for Mϵ=M−ϵ for ϵ>0 small enough.
As in the proof of Theorem 4.17 with N≥3 we still denote by A the set of M∈(−μ∗(1),−μ∗(2)) such that there is no ground state. We define in a similar way the set B1 and B2. The previous situation
is still valid with the only difference that Mϵ does not satisfies A-(i) but A-(ii): indeed from [18, Th. 8.2, Lemma 8.7], see Appendix, for ϵ<ϵ0 small enough there is no cycle around P2,M which is a sink by Proposition 4.2. Thus Tunst1,3 converges to P2,M when t→∞ and Tst1,2 converges to [math] when t→−∞, and since there is no ground state it satisfies x(t)∼cep−12t∣t∣ when t→−∞ for some c>0.
Hence the function g:M↦g(M)=xregM−x1,2M defined as in the proof of Theorem 4.17 shares the same properties and the conclusion follows. □
Remark. We conjecture that there is no cycle when N=2. If it is true, then for any −μ~<M<−μ∗, Tst1,2 converges to (0,0) as t→−∞. Equivalently there exists a positive solution u of (\refI−1) with a logarithmic blow-up at r=0 and such that u(r)∼U1,M(r) as r→∞. Hence there exist also a positive solution u of (\refI−1) such that
u(r)∼U1,M(r) as r→0 and u(r)∼U2,M(r) as r→∞.
4.6 The case M<0, N=1 and p>1
In the case N=1, the equation is invariant under the translation group Tα[u](.)=u(.+α) for α=0 and any ground state is symmetric with respect to its vertex.
Theorem 4.19
Let N=1. Then there exists a ground state u if and only if M≤−μ∗(1). It satisfies u(r)∼U2,M(r) as r→∞.
Furthermore, if M<−μ∗(1) there exists a positive singular solution u which satisfies u(r)∼U1,M(r) as r→0 and u(r)∼U2,M(r) as r→∞.
Proof. The existence when M<−μ∗(1) is proved in Lemma 4.4 but the proof therein is not valid when M=−μ∗(1) in which case a second beautiful construction due to Chipot and Weissler [14] applies: if M≤−μ∗(1) there exist singular
solutions U1,M and U2,M. If Treg is not a ground state, the corresponding solution u vanishes at
r=r0>0. Hence there exists a translation of u, say r↦u(r−c) which is tangent to U1,M which is impossible. If M<−μ∗(1) estimate (\refM19) implies (\refM21) which in turn implies that rp−12u(r) cannot converge to X1,M. Notice that there exists no cycle in the phase plane (x,y) otherwise the corresponding solution u would be singular and ondulating hence a translation of it say x↦u(x+c) which is now singular at x=−c and defined for x>−c could be made tangent somewhere to U1,M (or U2,M) which is impossible. Therefore rp−12u(r) converge to X2,M as r→∞.
In order to prove that there exists a heteroclinic connecting P1,M to P2,M and since Treg converges to P1,M, there exists a smallest τ such that xreg(τ)=X1,M and the vector field H is directed to the right on the segment J={(x,y):x=X1,M,yreg(τ)≤y≤Y1,M}, we have three possibilities:
(i) either xreg(t)→X1,M monotonically. In that case the region bordered by the segment J, the portion of L between P1,M and P2,M and the portion of trajectory Treg for t>τ is positively invariant. Since Tunst1,3 belongs to this region, it converges to P2,M when t→∞.
(ii) either Treg has a first intersection with L at a point (x(t1),y(t1)) with x(t1)>X2,M. Then it enters successively the region D where xt<0 and yt>0 and the region the region A where xt<0 and yt<0 and finally intersects L between P1,M and P2,M at some point (x(t2),y(t2)), or converges to P2,M monotonically, in which case we set t2=∞. In that case the region bordered by the segment J, the portion of L between P1,M and (x(t2),y(t2)) and the portion of trajectory Treg for τ<t<t2 is positively invariant. Since Tunst1,3 belongs to this region we conclude as in case (i).
□
4.7 Appendix: Non-existence of cycle in the case N=2
The difficulty comes from the fact that when M=M=−μ=−μ∗(2), the linearized system at P2,M has zero as a double eigenvalue. Following Kuznetsov’s notations [18, Lemma 8.7] we consider the system associated to (\refI−3−2), with two extra parameters α=(α1,α2) called the bifurcation parameters,
[TABLE]
We recall that μ=(p+1)p−p+1p and set x=(x,v), g(x,v,α1,α2)=g(x,α) and
[TABLE]
linearize (\refA1) at P~0=(x0,0), with α fixed, we obtain the new system
[TABLE]
In order to agree with Kuznetsov’s notations, we write (\refA2) under the form
[TABLE]
where R(y,α)=O(∣y∣3) and
[TABLE]
Note that, if α1=0, the three coefficients g11, g20 and g02 are negative.
Following Kuznetsov proof, we perform several changes of variables:
1- Setting y1=v1+δ, v2=y2 where δ=δ(α), we can get rid of the coefficient of v2 in the second equation and obtain
[TABLE]
where Q(v,α)=O(∣v∣3) and
[TABLE]
with g01 (resp. g00 and g10) stands for g01(α) (resp. g00(α) and g10(α)) and
[TABLE]
2- Time scaling, dτdt=1+θv1(t) where θ=θ(α), and ξ1=v1, ξ2=(1+θv1))v2 in order to get rid of the coefficients of v22 in the equations for ξ2, then
[TABLE]
where P(ξ,α)=O(∣ξ∣3),
[TABLE]
and f11=h11(1+o(1)). We rewrite the equation of ξ2t under the form
[TABLE]
where, for ∣α∣ small enough,
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
At end we change again time and put
[TABLE]
in order to see that η=(η1,η2) verifies
[TABLE]
In our situation
[TABLE]
After further computations and simplifications we obtain, with α2=0 and eliminating the terms which contain α12,
[TABLE]
Therefore, the discriminant β22−4β1 of the polynomial P(η1)=β1+β2η1+η12
is positive for α1>0.
By [18, Lemma 8.7] there is no cycle in the region of the plane (β1,β2) located in the second quadrant, which is our case since α1>0. Furthermore, the equilibrium (β1,β2)=(0,0), which has a double zero eigenvalue has one stable trajectory converging when t→∞ and one unstable trajectory converging when t→−∞. Hence it is a saddle point.
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