This paper establishes a general theorem on heteroclinic orbits in Hilbert spaces and applies it to prove existence results for certain PDE solutions, including phase transition models and fourth-order PDEs.
Contribution
It introduces a new general theorem on heteroclinic orbits in Hilbert spaces and demonstrates its application to PDE problems, extending previous results.
Findings
01
New proof of heteroclinic double layers in a more general setting
02
Existence of solutions to a fourth-order PDE with specific boundary conditions
03
Method to reduce PDE solutions to heteroclinic orbits in Hilbert spaces
Abstract
We prove a general theorem on the existence of heteroclinic orbits in Hilbert spaces, and present a method to reduce the solutions of some P.D.E. problems to such orbits. In our first application, we give a new proof in a slightly more general setting of the heteroclinic double layers (initially constructed by Schatzman), since this result is particularly relevant for phase transition systems. In our second application, we obtain a solution of a fouth order P.D.E. satisfying similar boundary conditions.
Equations228
Δu(t,x)=∇W(u(t,x)),u:R2→Rm(m≥2),(t,x)∈R2,
Δu(t,x)=∇W(u(t,x)),u:R2→Rm(m≥2),(t,x)∈R2,
W∈C2,α(Rm;R)
W∈C2,α(Rm;R)
D2W(u)(ν,ν)≥c, ∀u∈Rm: ∣u−a±∣≤r, ∀ν∈Rm: ∣ν∣=1, with r,c>0,
\mathcal{A}=\Big{\{}V\in H_{\rm loc}^{1}(\mathbb{R};\mathcal{H}):\left.\begin{array}[]{l}\langle V(t)-e^{-},\operatorname{{\bf n}}\rangle\leq 3l_{0}/4,\text{ for }t\leq t_{V}^{-},\\
\langle V(t)-e^{-},\operatorname{{\bf n}}\rangle\geq l_{0}/4,\text{ for }t\geq t_{V}^{+},\end{array}\right.\text{ for some }t_{V}^{-}<t_{V}^{+}\Big{\}},
\mathcal{A}=\Big{\{}V\in H_{\rm loc}^{1}(\mathbb{R};\mathcal{H}):\left.\begin{array}[]{l}\langle V(t)-e^{-},\operatorname{{\bf n}}\rangle\leq 3l_{0}/4,\text{ for }t\leq t_{V}^{-},\\
\langle V(t)-e^{-},\operatorname{{\bf n}}\rangle\geq l_{0}/4,\text{ for }t\geq t_{V}^{+},\end{array}\right.\text{ for some }t_{V}^{-}<t_{V}^{+}\Big{\}},
∀x∈R:t→±∞limu(t,x)=e±(x−m±), for some constants m±∈R,
∀x∈R:t→±∞limu(t,x)=e±(x−m±), for some constants m±∈R,
∀t∈R:x→±∞limu(t,x)=a±.
e0(x)=⎩⎨⎧a−,a−+(a+−a−)2x+1,a+, for x≤−1, for −1≤x≤1, for x≥1.
e0(x)=⎩⎨⎧a−,a−+(a+−a−)2x+1,a+, for x≤−1, for −1≤x≤1, for x≥1.
⟨u,v⟩H:=⟨(u−e0),(v−e0)⟩L2(R;Rm),∀u,v∈H.
⟨u,v⟩H:=⟨(u−e0),(v−e0)⟩L2(R;Rm),∀u,v∈H.
⟨u,v⟩H~:=⟨(u−e0),(v−e0)⟩H1(R;Rm),∀u,v∈H~.
⟨u,v⟩H~:=⟨(u−e0),(v−e0)⟩H1(R;Rm),∀u,v∈H~.
W(u)={JR(u)−Jmin,+∞, when the distributional derivative u′∈L2(R;Rm), otherwise,
W(u)={JR(u)−Jmin,+∞, when the distributional derivative u′∈L2(R;Rm), otherwise,
F=F−∪F+, with F−=∅,F+=∅, and dmin:=dH(F−,F+)>0
F=F−∪F+, with F−=∅,F+=∅, and dmin:=dH(F−,F+)>0
\mathcal{A}=\Big{\{}V\in H_{\rm loc}^{1}(\mathbb{R};\mathcal{H}):\left.\begin{array}[]{l}d_{\mathcal{H}}(V(t),F^{-})\leq d_{\mathrm{min}}/4,\text{ for }t\leq t_{V}^{-},\\
d_{\mathcal{H}}(V(t),F^{+})\leq d_{\mathrm{min}}/4,\text{ for }t\geq t_{V}^{+},\end{array}\right.\text{ for some }t_{V}^{-}<t_{V}^{+}\Big{\}},
\mathcal{A}=\Big{\{}V\in H_{\rm loc}^{1}(\mathbb{R};\mathcal{H}):\left.\begin{array}[]{l}d_{\mathcal{H}}(V(t),F^{-})\leq d_{\mathrm{min}}/4,\text{ for }t\leq t_{V}^{-},\\
d_{\mathcal{H}}(V(t),F^{+})\leq d_{\mathrm{min}}/4,\text{ for }t\geq t_{V}^{+},\end{array}\right.\text{ for some }t_{V}^{-}<t_{V}^{+}\Big{\}},
x→±∞limu(t,x)=a±, uniformly when t remains bounded.
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Full text
Connecting orbits in Hilbert spaces and applications to P.D.E.
Panayotis Smyrnelis
Institute of Mathematics,
Polish Academy of Sciences, 00-656 Warsaw, Poland
We prove a general theorem on the existence of heteroclinic orbits in Hilbert spaces, and present a method to reduce the solutions of some P.D.E. problems to such orbits. In our first application, we give a new proof in a slightly more general setting of the heteroclinic double layers (initially constructed by Schatzman [20]), since this result is particularly relevant for phase transition systems. In our second application, we obtain a solution of a fouth order P.D.E. satisfying similar boundary conditions.
1. Introduction and Statements
Functional Analysis methods are often useful to solve efficiently P.D.E. problems.
We refer to [9, Ch. 10] and [12, Ch. 7 and 9] for some classical applications to evolution equations.
The idea is to view a solution R2∋(t,x)↦u(t,x) of a P.D.E. as a map t↦[U(t):x↦[U(t)](x):=u(t,x)] taking its values in a space of functions, and reduce the initial P.D.E. to an O.D.E. problem for U.
For instance, in the case of the heat equation and the wave equation, this reduction is based on the theorem of Hille-Yosida [9, Ch. 10] .
In this paper, we apply this viewpoint to the elliptic system
[TABLE]
where W:Rm→R is a function such that
[TABLE]
That is, W is a double well potential (2a), with nondegenerate minima (2b), satisfying moreover the standard asymptotic condition (2c) to ensure the boundedness of finite energy orbits.
To clarify the notation, we point out that ∇W(u(t,x)) is the gradient of W evaluated at u(t,x), while D2W(u)(ν,ν) stands for the quadratic form ∑i,j=1m∂ui∂uj∂2W(u)νiνj, ∀u=(u1,…,um)∈Rm, ∀ν=(ν1,…,νm)∈Rm. We also denote respectively by ∣⋅∣ and ⋅, the Euclidean norm and inner product. Finally, given smooth maps u:R2→Rm, u=(u1,…,um), and ϕ:R2→Rm, ϕ=(ϕ1,…,ϕm), we set
∣∇u∣2:=∑i=1m∣∇ui∣2, and ∇u⋅∇ϕ:=∑i=1m∇ui⋅∇ϕi.
the associated energy functionals.
We also recall that a heteroclinic orbit is a solution e∈C2(R;Rm) of (3) such that
limx→±∞e(x)=a±. A heteroclinic orbit is called minimal if it is a minimizer of the Action functional (5)
in the class A:={v∈Wloc1,2(R;Rm):limx→±∞v(x)=a±}, i.e. if JR(e)=minv∈AJR(v)=:Jmin.
Assuming (2), we know that there exists at least one minimal111Note that heteroclinic orbits are not always minimal: cf. [7, Remark 3.6.]. heteroclinic orbit e (cf. for instance [7], [14], [23] or [4], for a general theorem about
the existence of heteroclinic connections). In addition, since the minima a± are nondegenerate, the convergence to the minima a± is exponential for every heteroclinic orbit e, i.e.
[TABLE]
where the constants k,K>0 depend on e (cf. [7, Proposition 6.5.].
Clearly, if x↦e(x) is a heteroclinic orbit, then the maps
[TABLE]
obtained by translating x, are still heteroclinic orbits.
1.1. Heteroclinic orbits in Hilbert spaces
In the first part of this paper, we establish the existence of minimal heteroclinic orbits in a Hilbert space H, under very mild assumptions (cf. Theorem 1.1 below). Indeed, the potential W:H→[0,+∞] is assumed to be weakly lower semicontinuous and to satisfy the standard asymptotic condition (13). For the sake of the applications to P.D.E. (1), we only consider the standard case of a double well potential W vanishing at e− and e+, but clearly our approach can be applied to more general potentials vanishing either on finite sets or on manifolds (cf. [7] in the finite dimensional case).
Denoting by ⟨⋅,⋅⟩ (resp. ∥⋅∥) the inner product (resp. the norm) in H, the minimal heteroclinic U will be obtained as a minimizer of the Action functional:
[TABLE]
in the constrained class A defined by:
[TABLE]
where n:=∥e+−e−∥e+−e−, and l0:=∥e+−e−∥. Note that in the definition of A no limitation is imposed on the numbers tV−<tV+ that may largely depend on V.
We refer to [17], [15], [11] and [8], for the general theory of Sobolev spaces of vector-valued functions.
For nonsmooth potentials, the minimizer U may be considered as a heteroclinic orbit in a generalized sense, since U(t) converges weakly to e±, as t→±∞ (cf. (15a)), and furthermore U satisfies the equipartition relation (15b). To illustrate Theorem 1.1 let us take for example W=χH∖{e−,e+}, where χ is the characterictic function. Then, one obtains in view of (15b) that (up to translations):
[TABLE]
We refer for instance to [10], [19] or [6], for the study of phase transition problems involving nonsmooth potentials.
In the case where W∈C1(H;R) is smooth, the minimizer U is a classical solution of the system
[TABLE]
where given u∈H, ∇W(u) is the element of H corresponding to DW(u)∈H′ by identifying H with H′ via the isomorphism:
[TABLE]
After these explanations, we give the complete statement of Theorem 1.1:
Theorem 1.1**.**
Let H be a Hilbert space222The existence of a minimizer U satisfying (15a) and (15b) also holds if H is a reflexive Banach space., and assume that W:H→[0,+∞] is a weakly lower semicontinuous function satisfying
[TABLE]
and
[TABLE]
Then, the condition
[TABLE]
implies that JR admits a minimizer U∈A i.e.
JR(U)=minV∈AJR(V),
such that
[TABLE]
Assuming moreover that W∈C1(H;R), then (14) holds and U∈C2(R;H) is a classical solution of (10).
The method of constrained minimization to construct the minimal heteroclinic goes back to [5]. However, most of the arguments used in finite dimensional spaces, fail in the infinite dimensional case due to the lack of compactness.
Thus, in order to recover compactness on closed balls, the idea is to work with the weak topology. On the other hand, the convergence in (15a) is established thanks to an argument first introduced in the context of fourth order O.D.E. (cf. [21, Lemma 2.4.]). In what follows, we will see that for some specific potentials, the convergence to the minima e± may hold in the strong sense (cf. (25a)).
To apply Theorem 1.1 to P.D.E. problems, one may consider the solution R×Ω∋(t,x)↦u(t,x)∈Rm (with Ω⊂Rn) of a P.D.E., as a connecting orbit t↦U(t)∈H, U(t):x↦[U(t)](x):=u(t,x), taking its values in a Hilbert space H of functions, defined according to the boundary conditions satisfied by u. Of course, this can be done if the initial equation can be reduced to an O.D.E. similar to (10), and if the boundary conditions satisfied by u are appropriate.
The scope of this paper is to provide a method for performing such a reduction, and constructing various kinds of solutions of P.D.E. problems.
1.2. First application: heteroclinic double layers
As a first application of Theorem 1.1 we give a new proof, in a slightly more general setting, of the existence of heteroclinic double layers (established by Schatzman [20]), since this result is particularly relevant for the phase transition system (1). Indeed, this construction provides for system (1) the first examples of two-dimensional minimal solutions, in the sense that
[TABLE]
This notion of minimality is standard for many problems in which the energy of a localized solution is actually infinite due to non compactness of the domain.
Assuming that for system (1), with W as in (2), there exist (up to translations) exactly two minimal heteroclinic orbits e− and e+ which are also nondegenerate333The heteroclinic orbits e± are nondegenerate in the sense that [math] is a simple eigenvalue of the linearized operators T:W2,2(R;Rm)→L2(R;Rm), Tφ=−φ′′+D2W(e±)φ.,
Schatzman constructed a solution of (1) such that
[TABLE]
Moreover, the convergence in (17b) as well as in (17a) is exponential, due to the nondegeneracy of a± and e±.
This construction has initially been performed by Alama, Bronsard and Gui [1] for potentials W invariant by the reflexion which exchanges a±.
The symmetry assumption enabled the authors to control the translation parameters m±, since they considered only solutions which were equivariant by the reflexion. In [2], the Alama-Bronsard-Gui solution was constructed under the weaker assumption (22), and the existence of an infinity of periodic solutions of (1) was established (cf. also [3]).
Recently, new proofs of Schatzman’s result were given in [13] (where a Gibbon’s type conjecture was also proved), and in [18] via minimization of the Jacobi functional.
In Theorem 1.2 below we obtain Schatzman’s solution as a minimal heteroclinic orbit U connecting e± in the appropriate Hilbert space. This construction highlights the real nature of the heteroclinic double layers, and provides a clear interpretation of the equipartition property (34) (already observed in the aforementioned works).
The boundary conditions (17b) suggest to set
[TABLE]
and work in the affine subspace444To stress the analogy with Theorem 1.1, we denote again by H, A, W, and J, the Hilbert space, the constrained class, the potential, and the action functional, which are relevant in this subsection. H:=e0+L2(R;Rm)={u=e0+h:h∈L2(R;Rm)} which has the structure of a Hilbert space with the inner product
[TABLE]
We denote by ∥⋅∥H the norm in H, and by dH(u,v):=∥u−v∥L2(R;Rm) the corresponding distance.
We shall also consider the Hilbert space H~:=e0+H1(R;Rm)={u=e0+h:h∈H1(R;Rm)} with the inner product
[TABLE]
Similarly, ∥⋅∥H~, and dH~(u,v):=∥u−v∥H1(R;Rm) stand for the norm and the distance in H~.
In view of (6), it is clear that e∈H~, for every minimal heteroclinic e.
Next, we define in H the effective potential W:H→[0,+∞] by
[TABLE]
where Jmin=minv∈AJR(v).
Note that W≥0, since u′∈L2(R;Rm) implies that limx→±∞u(x)=a± i.e. u∈A, and thus JR(u)≥Jmin. It is also obvious that W only vanishes on the set F of minimal heteroclinics. More generally than in [20], we assume that this set satisfies
[TABLE]
(where dH(F−,F+):=inf{∥e−−e+∥L2(R;Rm):e−∈F−,e+∈F+}).
For instance, if F contains (up to translations) a finite number of elements e1,…,eN, one may take F−={x↦e1(x−T1):T1∈R}, and F+={x↦ek(x−Tk):Tk∈R,k=2,…,N} (cf. [1] and [20]). In this case it is easy to check that dH(F−,F+)>0, since the map R∋T↦eT(x)=e(x−T)∈H is continuous for every e∈F, and the images of two distinct minimal heteroclinics do not intersect. In Lemma 3.3 below, we give explicit examples of potentials for which (22) holds.
Finally we define the constrained class
[TABLE]
and the functional555In the proof of Theorem 1.2, it will appear how the energy functional E of system (1) is related to J, and why the definition of W is relevant.
[TABLE]
Since the effective potential W has been normalized by substracting the constant Jmin from JR, it follows that infAJR<∞. All variational constructions of the heteroclinic double layers are based on the minimization of this renormalized energy (cf. also [5] for some other applications).
Proceeding as in Theorem 1.1 we are going to show that this solution is actually a minimizer of JR in A:
Theorem 1.2**.**
Assume the potential W satisfies (2), (22), and one of the following
[TABLE]
Then, JR admits a minimizer U∈A i.e. JR(U)=minV∈AJR(V), which is
such that
(i)
u∈C2(R2;Rm)* where u(t,x):=[U(t)](x), t↦U(t)∈H.*
(ii)
u* solves (1)
together with the boundary conditions*
[TABLE]
(iii)
For every t∈R, u satisfies the equipartition relation 21∥U′(t)∥H2=W(U(t)), or equivalently:
[TABLE]
(iv)
u* is a minimal solution of (1) (cf. (16)).*
In addition, if (24a) holds and W satisfies the nondegeneracy condition
[TABLE]
then there exist e±∈F±, and constants k,K>0 such that
[TABLE]
To establish Theorem 1.2, the arguments in the proof of Theorem 1.1 need to be adjusted, since the set F is unbounded. However, W and F have nice properties, that allow us to address the lack of compactness issue. Indeed, F intersected with closed balls of H is compact (cf. Lemma 3.2 (i)), and dH~(u,F)→0, as W(u)→0 (cf. Lemma 3.1 (ii)).
Theorem 1.2 outlines the hierarchical structure of solutions of (1), since by taking the limit of u(t,x) as t→±∞ (resp. x→±∞), lower dimensional solutions are obtained. There is also a striking analogy between the functionals J (cf. (5)) and J. On the one hand, the zeros a± of W (i.e. the global minimizers of J) have their counterparts in the minimal heteroclinics e∈F, which are the zeros of W (and the global minimizers of J). On the other hand, the heteroclinic orbits of (3) (one dimensional solutions) have their counterparts in the heteroclinic orbit U provided by Theorem 1.2 which corresponds to a two dimensional solution of (1).
Finally, we point out that the shape of heteroclinics can be very complicated (cf. [22]), and that a nondegeneracy assumption similar to (27) is needed to ensure the convergence of the orbit U at ±∞, even in finite dimensional spaces (cf. [7, Corollary 6.3.]). The nondegeneracy assumption considered in [20] implies the existence of α,β>0 such that dH~(u,F)≤β⇒W(u)≥α(dH~(u,F))2 (cf. [20, Lemma 4.5.]). Clearly, this assumption is stronger than (27).
1.3. Second application:
In Theorem 1.2 we constructed a heteroclinic orbit U connecting at ±∞ the subsets F± in the Hilbert space H. Going further one may ask: what kind of solution is obtained if instead of H, we consider another space? Assuming that W satisfies (2) as well as
[TABLE]
(cf. subsection 1.2 for the definition of H~, F, and W), we shall construct in this subsection a heteroclinic orbit U~ connecting at ±∞ the subsets F± in H~.
This new orbit U~ produces a heteroclinic double layers solution u~ to the fourth order system
[TABLE]
Proceeding as in Theorems 1.1 and 1.2, we shall establish that U~ is a minimizer of the functional
[TABLE]
in the constrained class
[TABLE]
Theorem 1.3**.**
Assume the potential W satisfies (2) and (29). Then, J~R admits a minimizer U~∈A~ i.e. J~R(U~)=minV∈A~J~R(V), which is
such that
(i)
U~∈C2(R;H~)* is a classical solution of system U~′′(t)=∇W(U~(t)), where W∈C1(H~;[0,∞)) (cf. Lemma 3.1 (iii)).*
(ii)
Setting u~(t,x):=[U~(t)](x), t↦U~(t)∈H~, we have u~∈Hloc1(R2;Rm), u~t,u~tx∈L2(R2;Rm), u~x∈L2((α,β)×R;Rm), ∀[α,β]⊂R, and u~ is a weak solution of system (30):
[TABLE]
satisfying the boundary conditions
[TABLE]
(iii)
For every t∈R, u~ satisfies the equipartition relation 21∥U~′(t)∥H~2=W(U~(t)), or equivalently:
[TABLE]
(iv)
u* is a minimal solution of system (30) in the sense that*
[TABLE]
where \tilde{E}_{\Omega}(u):=\int_{\Omega}\big{[}\frac{1}{2}(|u_{tx}|^{2}+|\nabla u|^{2})+W(u)\big{]} (Ω⊂R2), is the energy functional associated to (30).
In addition, if W satisfies the nondegeneracy condition
[TABLE]
then there exist e±∈F±, and constants k,K>0 such that
[TABLE]
*and the convergence in (33b) is uniform for t∈R.
*
1.4. Other possible applications
The previous method applies directly to construct heteroclinic double layers for the systems associated to the energy functionals E_{\Omega}(u)=\int_{\Omega}\big{[}\big{|}\frac{\partial u}{\partial t}\big{|}^{q}+\big{|}\frac{\partial u}{\partial x}\big{|}^{p}+W(u)\big{]}, with p,q∈(1,∞), u:R2→Rm, Ω⊂R2, and W as in (2).
On the other hand, we expect that Theorem 1.1 can be extended to fourth order systems by considering the functional \mathcal{J}_{\mathbb{R}}(V)=\int_{\mathbb{R}}\big{[}\frac{1}{2}\|V^{\prime\prime}(t)\|^{2}+\mathcal{W}(V(t),V^{\prime}(t))\big{]}\mathrm{d}t (cf. [21] for the corresponding result in finite dimensional spaces). As a consequence, a heteroclinic double layers solution should be obtained for the system
[TABLE]
which is called the extended Fisher-Kolmogorov equation. Finally, due to the variety of choices for the space H, several types of boundary conditions may be considered in the applications of Theorem 1.1.
We first notice that since W:H→[0,+∞] is weakly lower semicontinuous, the function t↦W(V(t)) is lower semicontinuous (thus measurable), for every V∈Wloc1,2(R;H). Assumption (14) is satisfied for instance if W is bounded on the line segment [e−,e+]. Indeed, in this case the map V0∈A defined by
[TABLE]
is such that JR(V0)<+∞. In what follows we assume that
[TABLE]
and we set
Ab={V∈A:JR(V)≤J0}. It is clear that
[TABLE]
Our next claim is that finite energy orbits are equicontinuous and uniformly bounded:
Lemma 2.1**.**
There exist M,M′>0 such that supR∥V(t)∥≤M, and ∥V(t2)−V(t1)∥≤M′∣t2−t1∣1/2,
∀t1,t2∈R, ∀V∈Ab. Moreover every map V∈Ab satisfies V(t)⇀e±, as t→±∞.
Proof.
It is clear that for every t1<t2, and every V∈Ab, we have
[TABLE]
with M′=2J0.
Next, in view of (13), ∥v∥≥R implies that W(v)≥m for some constant m>0, and R>0 sufficiently large. Thus, for every V∈Ab, we have
[TABLE]
where L1 stands for the one dimensional Lebesgue measure. Assuming that ∥V(t)∥>R, for some t∈R, it follows that there exists t0<t such that ∥V(t0)∥=R, and ∥V(s)∥≥R, ∀s∈[t0,t]. According to what precedes we can see that m(t−t0)≤J0. Hence we deduce that
∥V(t)−V(t0)∥≤M′(t−t0)1/2≤2/mJ0,
and ∥V(t)∥≤R+2/mJ0=:M.
Now, we recall that the ball BM:={v∈H:∥v∥≤M} is compact for the weak topology. Let V={v∈H:⟨fj,v−e+⟩<2δ,∀j=1,…,N} (with δ>0 and fj∈H∖{0}) be a neighbourhood of e+ for the weak topology.
If we assume by contradiction the existence of a sequence tk such that limk→∞tk=∞, and V(tk)∈/V (i.e. ⟨fjk,V(tk)−e+⟩≥2δ for some jk∈{1,…,N}), we get
[TABLE]
provided that ∣t−tk∣≤η:=min1≤j≤N(δ/M′∥fj∥)2. Next, let μ be the infimum of W on the set
[TABLE]
which is compact for the weak topology. The weakly lower semicontinuity of W and (12), imply that μ>0, thus according to what precedes we have W(V(t))≥μ, ∀t∈[tk−η,tk+η], with tk≥tV++η. Finally, since the intervals [tk−η,tk+η] may be assumed to be disjoint, we obtain JR(V)=∞, which is a contradiction. This establishes that V(t)⇀e+, as t→∞. Similarly we can prove that V(t)⇀e−, as t→−∞.
∎
Lemma 2.2**.**
Given a sequence {Vk}⊂Ab, there exist a sequence {xk}⊂R, and a map U∈Ab, such that JR(U)≤liminfk→∞JR(Vk), and up to subsequence the maps Vˉk(t):=Vk(t−xk) satisfy
(i)
∀t∈R: Vˉk(t)⇀U(t), as k→∞,
(ii)
Vˉk′⇀U′* in L2(R,H), as k→∞.*
Proof.
By extracting if necessary a subsequence we may assume that JR(Vk) converges to liminfk→∞JR(Vk), as k→∞.
For every k we define the sequence
x2i+1(k)=sup{t∈R:⟨Vk(s)−e−,n⟩≤3l0/4,∀s∈[x2i(k),t]}<∞, if x2i(k)<∞,
where i=1,…,Nk.
In addition, we set
•
y2i−1(k)=sup{t≤x2i−1(k):⟨Vk(t)−e−,n⟩≤l0/4},
•
y2i(k)=sup{t≤x2i(k):⟨Vk(t)−e−,n⟩≥3l0/4}, if x2i(k)<∞.
Next, we notice that the set K:={v∈H:∥v∥≤M,l0/4≤⟨v−e−,n⟩≤3l0/4} is compact for the weak topology. As a consequence of (12) and the lower semicontinuity of W, we have W0:=minv∈KW(v)=W(v0), for some v0∈K, thus W0>0. Finally, since
[TABLE]
holds for every k≥1 and j=1,…,2Nk−1, we can see that (2Nk−1)W0/2l0≤J0, i.e.
the integers Nk are uniformly bounded. By passing to a subsequence, we may assume that Nk is a constant integer N≥1.
Our next claim (cf. [21, Lemma 2.4.]) is that up to subsequence, there exist an integer i0 (1≤i0≤N) and an integer j0 (i0≤j0≤N) such that
(a)
the sequence x2j0−1(k)−x2i0−1(k) is bounded,
(b)
limk→∞(x2i0−1(k)−x2i0−2(k))=∞,
(c)
limk→∞(x2j0(k)−x2j0−1(k))=∞,
where for convenience we have set x0(k):=−∞.
Indeed, we are going to prove by induction on N≥1, that given 2N+1 sequences −∞≤x0(k)<x1(k)<…<x2N(k)≤∞, such that limk→∞(x1(k)−x0(k))=∞, and limk→∞(x2N(k)−x2N−1(k))=∞, then up to subsequence the properties (a), (b), and (c) above hold, for two fixed indices 1≤i0≤j0≤N.
When N=1, the assumption holds by taking i0=j0=1. Assume now that N>1, and let l≥1 be the largest integer such that
the sequence xl(k)−x1(k) is bounded. Note that l<2N. If l is odd, we are done, since the sequence xl+1(k)−xl(k) is unbounded, and thus we can extract a subsequence {nk} such that limk→∞(xl+1(nk)−xl(nk))=∞. Otherwise l=2m (with 1≤m<N), and the sequence x2m+1(k)−x2m(k) is unbounded. We extract a subsequence {nk} such that limk→∞(x2m+1(nk)−x2m(nk))=∞.
Then, we apply the inductive statement with N′=N−m, to the 2N′+1 sequences x2m(nk)<x2m+1(nk)<…<x2N(nk).
At this stage, we consider appropriate translations of the sequence {Vk}, by setting Vˉk(t)=Vk(t−x2i0−1(k)). Since {Vˉk′} is uniformly bounded in L2(R,H), it follows that up to subsequence
Vˉk′⇀V in L2(R,H), and moreover
[TABLE]
On the other hand, we write Vˉk(t)=Vˉk(0)+∫0tVˉk′(s)ds,
and notice that up to subsequence Vˉk(0)⇀u0 in H, since ∥Vˉk(0)∥≤M (cf. Lemma 2.1). Our claim is that
U(t):=u0+∫0tV(s)ds has all the desired properties. Indeed, since ∫0tVˉk′(s)ds⇀∫0tV(s)ds holds in H for every t∈R, we also have Vˉk(t)⇀U(t) for every t∈R. In view of the weakly lower semicontinuity of W, this implies that liminfk→∞W(Vˉk(t))≥W(U(t)) for every t∈R, thus by Fatou’s Lemma we obtain
[TABLE]
Combining (39) with (40) it is clear that JR(U)≤liminfk→∞JR(Vk). To conclude it remains to show that U∈A. In view of the above property (b) it follows that ⟨U(t)−e−,n⟩≤3l0/4, for every t≤0. Similarly, in view of (a) and (c), we have ⟨U(t)−e−,n⟩≥l0/4, for t≥T>0 large enough.
∎
Applying Lemma 2.2 to a minimizing sequence i.e. {Vk}⊂Ab such that
[TABLE]
we immediately obtain the existence of the minimizer U.
To show that the minimizer U satisfies the equipartition property (ii) we are going to check that
[TABLE]
Actually, since every ϕ∈C0∞(R;R) is the uniform limit of step functions, we just need to prove that
[TABLE]
For every κ>0, let
[TABLE]
It is easy to see that Vκ∈A and,
[TABLE]
Since JR(Vκ)−JR(U)≥0 by the minimality of U, letting κ→1+ and κ→1− in (43), we obtain (42).
Finally we assume that W∈C1(H;R). Given ξ∈C0∞(H;R), and λ∈R, we compute
[TABLE]
By the minimality of U, we have JR(U+λξ)−JR(U)≥0, hence
[TABLE]
This implies that the derivative of
t↦U′(t) in
D′(R;H)
is t↦∇W(U(t))
and that U∈C2(R;H) is a classical solution of (10).
3. Properties of the effective potential W and of the set of minimal heteroclinics F
We establish below some properties of the effective potential W defined in subsection 1.2, assuming that the function W satisfies (2):
Lemma 3.1**.**
(i)
The potential W is sequentially weakly lower semicontinuous.
(ii)
Let {uk}⊂H be such that limk→∞W(uk)=0.
Then, there exist a sequence {xk}⊂R, and e∈F, such that (up to subsequence) the maps uˉk(x):=uk(x−xk) satisfy limk→∞∥uˉk−e∥H1(R;Rm)=0.
As a consequence, dH~(u,F)→0, as W(u)→0, and for every c1>0, there exists c2>0 such that d_{\mathcal{H}}(u,F)\geq c_{1}\text{(resp. d_{\mathcal{\tilde{H}}}(u,F)\geq c_{1})}\Rightarrow\mathcal{W}(u)\geq c_{2}.
(iii)
W* restricted to H~ is a C1(H~;[0,∞)) smooth function, and DW(u)h=∫R[u′⋅h′+∇W(u)⋅h], ∀u∈H~, ∀h∈H1(R;Rm).*
Proof.
(i) Let {uk}⊂H be such that uk⇀u in H (i.e.
uk−u⇀0 in L2(R;Rm)), and let us assume that
l=liminfk→∞W(uk)<∞ (since otherwise the statement is trivial).
By extracting a subsequence we may assume that limk→∞W(uk)=l. In view of Lemma 2.1 (applied in the finite dimensional case with W instead of W), the sequence {uk} is equicontinuous and uniformly bounded. Thus, the theorem of Ascoli implies that uk→u~ in Cloc(R;Rm), as k→∞ (up to subsequence).
On the other hand, since ∥uk′∥L2(R;Rm) is bounded, we have that uk′⇀v, in L2(R;Rm) (up to subsequence). In addition, one can easily see that u=u~∈Hloc1(R;Rm), and u′=v. Finally, by the weakly semicontinuity of the L2(R;Rm) norm and Fatou’s Lemma (cf. the end of the proof of Lemma 2.2), we deduce that W(u)≤l, i.e.
W(u)≤liminfk→∞W(uk).
(ii) We first establish that given u∈H such that u′∈L2(R;Rm), and e∈F, we have
[TABLE]
In view of (6), it is clear that e′′=∇W(e)∈L2(R;Rm), thus e′∈H1(R;Rm). As a consequence, we can see that ∫Re′′⋅(u−e)=−∫Re′⋅(u′−e′), and
Now, we consider a sequence {uk}⊂H such that limk→∞W(uk)=0. According to Lemma 2.2, there exist a sequence {xk}⊂R, and e∈F, such that (up to subsequence) the maps uˉk(x):=uk(x−xk) satisfy
[TABLE]
Having a closer look at the proof of Lemma 2.2, we can show that in the case of a finite dimensional space, the convergence in (45) actually holds in Cloc(R;Rm)666Indeed, when H=Rm, one can apply in the proof of Lemma 2.2 the theorem of Ascoli to the sequence Vˉk, since by Lemma 2.1 it is equicontinuous and uniformly bounded..
let ϵ∈(0,r), and let ν be a unit vector of Rm. We notice using (48) that the map [0,1]∋x↦z(x)=a±+ϵνx, is such that J[0,1](z)≤2μ+1ϵ2. As a consequence,
[TABLE]
since otherwise we can construct a map in A whose action is less than Jmin. On the other hand we have
[TABLE]
Indeed, for such a map v, we can check that
[TABLE]
Let ϵ0∈(0,r) be such that (μ+2)ϵ2<c(r−ϵ)ϵ, ∀ϵ<ϵ0. Next, for ϵ<ϵ0 fixed, choose an interval [λ−,λ+] such that ∣e(x)−a−∣≤ϵ/2, ∀x≤λ−, and ∣e(x)−a+∣≤ϵ/2, ∀x≥λ+. According to (45), we have for k≥N large enough:
Therefore, in view of (50) and (51a), it follows that ∣uˉk(x)−a−∣≤r (resp. ∣uˉk(x)−a+∣≤r), ∀x≤λ− (resp. ∀x≥λ+). Furthermore, as a consequence of (47b) we get
[TABLE]
To conclude, we apply formula (44) to uˉk, and combine (51d) with (51b) and (53), to obtain
[TABLE]
Finally, in view of (51c), we have \|\bar{u}_{k}-e\|_{L^{2}(\mathbb{R};\mathbb{R}^{m})}<\big{(}1+\frac{2}{\sqrt{c}})\epsilon. This establishes our claim (46), from which the statement (ii) of Lemma 3.1 is straightforward.
(iii) We recall that σ:=supe∈F∥e∥L∞(R;Rm)<∞ (cf. Lemma 2.1).
Given u∈H~, set κ1:=max(∥u∥L∞(R;Rm),σ), and κ2:=sup{∣D2W(v)(ν,ν)∣:∣v∣≤2κ1,∣ν∣=1}.
From formula (44), it is clear that
[TABLE]
On the other hand, one can see that
∇W(u)∈L2(R;Rm). Furthermore, when ∥h∥H1(R;Rm) is small enough, such that ∥h∥L∞(R;Rm)<κ1, we have
[TABLE]
This proves that W is differentiable at u, and DW(u)h=∫R[u′⋅h′+∇W(u)⋅h].
∎
From the arguments in the proof of Lemma 3.1, we deduce some useful properties of the set F (defined in subsection 1.2).
Lemma 3.2**.**
(i)
Let {ek}⊂F be bounded in H, then
there exists e∈F, such that up to subsequence limk→∞∥ek−e∥H1(R;Rm)=0.
(ii)
There exists a constant γ>0, such that for every e∈F, we can find T∈R such that setting eT(x)=e(x−T), we have ∥eT∥H~≤γ.
(iii)
For every v∈H (resp. v∈H~), there exists e∈F such that dH(v,F)=∥v−e∥H (resp. dH~(v,F)=∥v−e∥H~).
Proof.
(i) Since {ek}⊂F is bounded in H, we have up to subsequence ek⇀e in H, as k→∞, for some e∈H.
Proceeding as in the proof of Lemma 3.1 (i), we first obtain that (up to subsequence) ek→e in Cloc(R;Rm), as k→∞, with e∈F. Next, we reproduce the arguments after (46), with ek instead of uˉk.
(ii) Assume by contradiction the existence of a sequence N∋k↦ek∈F, such that ∥ekT∥H~≥k, ∀T∈R. Then, by Lemma 3.1 (ii), there exists a sequence {xk}⊂R, and e∈F, such that (up to subsequence) the maps ekxk satisfy limk→∞∥ekxk−e∥H~=0. Clearly, this is a contradiction.
(iii) Let {ek}⊂F be a sequence such that ∥v−ek∥H≤dH(v,F)+k1, ∀k. Then, in view of (i) we have (up to subsequence) ek→e in H, as k→∞, with e∈F. As a consequence
dH(v,F)=∥v−e∥H.
∎
In Lemma 3.3 below, we give examples of potentials for which assumption (22) holds.
Lemma 3.3**.**
Let W∈C2(R2;R) be a potential satisfying (2). In addition we assume that
•
W(u1,u2)=W(u1,−u2),
•
a±=(±λ,0),
•
the heteroclinic orbit η taking its values onto the open line segment (a−,a+) is not minimal.777An explicit example of a potential satisfying all the above assumptions is constructed in [7, Remark 3.6.].
Then, F is partitioned into two nonempty sets F±, such that dH(F−,F+)>0.
Proof.
By symmetry, if x↦(e1(x),e2(x))∈R2 is a minimal heteroclinic orbit, then x↦(e1(x),−e2(x)) is also a minimal heteroclinic orbit.
Since the images of two distinct minimal heteroclinic orbits do not intersect, and the heteroclinic orbit η is not minimal, it follows that a minimal heteroclinic orbit either takes its values in the upper half-plane {u2>0} or in the lower half-plane {u2<0}. We denote by F± the corresponding subsets. If dH(F−,F+)=0, then there exists a sequence ek=(fk,gk)⊂F+ such that limk→∞∥gk∥L2(R)=0.
According to Lemma 2.2, there also exists a sequence xk∈R, such that limk→∞ek(x−xk)=(f(x),0)=:u(x)∈A. Furthermore, we have JR(u)≤Jmin. Therefore, u is a minimal heteroclinic orbit coinciding up to translations with η. This is a contradiction, since the orbit η is not minimal.
∎
To see that infV∈AJR(V)<∞, we take V0∈A as in (38), with e±∈F±. Since e− and e+ satisfy the exponential estimate (6), it is clear that
JR(V0)<∞. Next, we define the constants
and consider a minimizing sequence i.e. {Vk}⊂A such that limk→∞JR(Vk)=infV∈AJR(V). For every k, we set
[TABLE]
[TABLE]
Note that Sk±=∅, since JR(Vk)<∞ implies that liminf∣t∣→∞W(Vk(t))=0, and also liminf∣t∣→∞dH(Vk(t),F)=0 by Lemma 3.1 (ii).
Moreover, one can see that actually λk−=maxSk−, and λk+=minSk−.
Indeed, let {tj}⊂Sk− be a sequence such that tj→λk−, as j→∞. Then, there exists a sequence {ej}⊂F− such that ∥Vk(tj)−ej∥H≤η. In addition, in view of Lemma 3.2 (i), we have up to subsequence ej→e in H, as j→∞, for some e∈F−, thus ∥Vk(λk−)−e∥H≤η. On the other hand, from Lemma 3.1 (i) we get immediately that W(Vk(λk−))≤ϵ.
By definition of λk±, either W(Vk(t))>ϵ or dH(Vk(t),F)>η holds for t∈(λk−,λk+). Thus, we have W(Vk(t))≥min(ϵ,W2), ∀t∈(λk−,λk+), and as a consequence of the boundedness of the sequence k↦JR(Vk), it follows that Λ:=supk(λk+−λk−)∈(0,∞).
Our next claim is that we may assume that the minimizing sequence {Vk} satisfies (cf. [7, Lemma 4.3.]):
[TABLE]
Indeed, if a map Vk is such that for instance dH(Vk(t0),F−)>dmin/4, for some t0<λk−, we can construct a competitor V~k∈A, such that JR(V~k)≤JR(Vk), and (55) holds for V~k. To see this, let e−∈F− be such that ∥Vk(λk−)−e−∥H=dH(Vk(λk−),F−)≤η, and set
[TABLE]
One can see that ∫−∞λk−∥V~k′∥H2=∥Vk(λk−)−e−∥H2. Next, applying formula (44) to e=e− and u=Vk(λk−) together with W(Vk(λk−))≤ϵ, we obtain
∫R21∣(Vk(λk−)−e−)′∣2≤ϵ+2C∥Vk(λk−)−e−∥H2. Finally, a second application of formula (44) to e− and e−+s(Vk(λk−)−e−), with s∈[0,1], gives
W(V~k(t))≤ϵ+C∥Vk(λk−)−e−∥H2, ∀t∈[λk−−1,λk−]. Thus we have checked that J(−∞,λk−](V~k)≤ϵ+(C+1)∥Vk(λk−)−e−∥H2≤ϵ+(C+1)η2.
On the other hand, assuming that
dH(Vk(t0),F−)>dmin/4 holds for some t0<λk−, we have
[TABLE]
Therefore, by definition of ϵ and η we deduce that J(−∞,λk−](V~k)≤J(−∞,λk−](Vk). This proves our claim (55).
To show the existence of the minimizer U, we shall consider appropriate translations of the sequence vk(t,x):=[Vk(t)](x) (R∋t↦Vk(t)∈H), with respect to the variables x and t. Then, we shall establish the convergence of the translated maps to the minimizer U. Given T∈R, and V∈H=e0+L2(R;Rm), we denote by LT(V) the map of H defined by R∋x↦V(x−T)∈Rm. It is obvious that W(LT(V))=W(V).
Similarly, if t↦V(t) belongs to Hloc1(R;H), we obtain that t↦LT(V(t)) also belongs to Hloc1(R;H), with ∥(LTV)′(t)∥L2(R;Rm)=∥V′(t)∥L2(R;Rm).
In view of Lemma 3.2 (ii), for every k, we can find Tk∈R and ek∈F− such that
∥ek∥H≤γ and ∥∣LTkVk(λk−)−ek∥H≤η. We set Vˉk(t):=LTk(Vk(t+λk−)). Clearly, Vˉk∈Hloc1(R;H) satisfies JR(Vˉk)=JR(Vk), as well as
[TABLE]
Since ∥Vˉk(0)∥H≤η+γ holds for every k, we have that (up to subsequence) Vˉk(0)⇀u0 in H, as k→∞, for some u0∈H.
Next, proceeding as in the proof of Lemma 2.2
we can see that (up to subsequence)
Vˉk′⇀V in L2(R;L2(R;Rm)) as k→∞, and moreover
setting Vˉk(t)=Vˉk(0)+∫0tVˉk′(s)ds, and U(t)=u0+∫0tV(s)ds, we have Vˉk(t)⇀U(t) in H, as k→∞, ∀t∈R.
The fact that JR(U)≤liminfk→∞JR(Vk) follows as in the proof of Lemma 2.2 from the sequentially weakly lower semicontinuity of W (cf. Lemma 3.1 (i)). To conclude that
JR(U)=minV∈AJR(V), we are going to check that U satisfies (57). Indeed, given t≤0, let {ek}⊂F− be such that ∥Vˉk(t)−ek∥H≤dmin/4, ∀k. Since {ek} is bounded in H, we have (up to subsequence) limk→∞ek=e in H, for some e∈F− (cf. Lemma 3.2 (i)). Thus, it is clear that dH(U(t),F−)≤dH(U(t),e)≤liminfk→∞∥Vˉk(t)−ek∥H≤dmin/4. Similarly, dH(U(t),F+)≤dmin/4 holds for t≥Λ.
∎
Proof of (i), (ii), (iii) and (iv).
We first establish two lemmas:
Lemma 4.1**.**
Writing U(t)=e0+H(t), with
[TABLE]
and identifying H with a Lloc2(R2;Rm) function via h(t,x):=[H(t)](x), we have
(i)
h∈Hloc1(R2;Rm), ht∈L2(R2;Rm),
(ii)
and ∥hx∥L2((α,β)×R;Rm)2≤C0(∣β−α∣), for a constant C0>0 depending only on the length of the interval (α,β)⊂R.
Proof.
We recall that given any interval (α,β), we can identify L2((α,β)×R;Rm) with L2((α,β);L2(R;Rm)) via the canonical isomorphism
[TABLE]
Let g(t,x):=[U′(t)](x), with g∈L2(R2;Rm), and let us prove that ht=g.
Given a function ϕ∈C0∞(R2;Rm), we also view it as a map Φ∈C1(R;L2(R;Rm)), t↦Φ(t), by setting [Φ(t)](x):=ϕ(t,x).
Assuming that suppΦ⊂(α,β), we have
[TABLE]
and clearly the second integral vanishes if H∈C1([α,β];L2(R;Rm)). Since H can be approximated in H1((α,β);L2(R;Rm)) by C1([α,β];L2(R;Rm)) maps, we deduce that ∫R2[hϕt+gϕ]=0, i.e. ht=g.
On the other hand, ∫RW(U(t))dt<∞ implies that for a.e. t∈R, we have W(U(t))<∞, and U(t)∈H~.
By using difference quotients, we can see that
[TABLE]
holds for a.e. t∈R, for η∈R∖{0}, and some constant k>0. Thus, the difference quotients ηh(t,x+η)−h(t,x) are bounded in L2((α,β)×R;Rm) for every interval [α,β]⊂R, and as a consequence hx∈L2((α,β)×R;Rm). Finally, an integration of (58) gives ∥hx∥L2((α,β)×R;Rm)2≤C0(∣β−α∣), with
[TABLE]
∎
Lemma 4.2**.**
If (24a) holds, there exists a minimizer U of JR in A satisfying:
[TABLE]
Proof.
Let P:Rm→Rm be the projection onto the closed ball {u∈Rm:∣u∣≤ρ}. Given V∈H, it is clear that the map PV:x↦P(V(x)) belongs to H. In addition, given
V1,V2∈H, we have ∥PV1−PV2∥H≤∥V1−V2∥H. As a consequence, the map PU:t↦P(U(t))∈H belongs to Hloc1(R;H), and ∥(PU)′(t)∥L2(R;Rm)≤∥U′(t)∥L2(R;Rm) holds for a.e. t∈R. On the other hand, it is clear that W((PU)(t))≤W(U(t)) holds for every t∈R. To deduce that PU is a minimizer of JR in A, it remains to check that PU satisfies (57). Given t≤0, let e∈F− be such that ∥U(t)−e∥H≤dmin/4, and note that ∥e∥L∞(R;Rm)≤ρ, since e is a minimal heteroclinic. This implies that for every x∈R, we have ∣[PU(t)](x)−e(x)∣≤∣[U(t)](x)−e(x)∣. Thus, it follows that dH(PU(t),e)≤dH(U(t),e)≤dmin/4. Similarly, dH(PU(t),F+)≤dmin/4 holds for t≥Λ.
∎
Given a function ϕ∈C01(R2;Rm), we also view it as a map Φ∈C01(R;L2(R;Rm)), t↦Φ(t), by setting [Φ(t)](x):=ϕ(t,x).
For every λ∈R, it is clear that
[TABLE]
and
[TABLE]
On the other hand, since ∫RW(U(t))dt<∞, it follows that for a.e. t∈R, we have W(U(t))<∞, and U(t)∈H~.
Our claim is that
[TABLE]
where \psi(t):=\int_{\mathbb{R}}\big{[}\frac{\mathrm{d}[U(t)]}{\mathrm{d}x}\cdot\frac{\partial\phi(t,x)}{\partial x}+\nabla W([U(t)](x))\cdot\phi(t,x)\big{]}\mathrm{d}x.
We first notice that for every λ=0, the functions
ψλ(t):=λ1[W(U(t)+λΦ(t))−W(U(t))] are defined a.e. Moreover, we can see that ψλ(t) is equal to
[TABLE]
with 0≤cλ(t,x)≤1. As a consequence, we obtain limλ→0ψλ(t)=ψ(t) for a.e. t∈R. Finally, setting u(t,x):=[U(t)](x), we have u∈Hloc1(R2;Rm)⊂Llocq(R2;Rm), ∀q≥2 (cf. Lemma 4.1), and moreover u∈L∞(R2;Rm) when (24a) holds (cf. (59)). This implies that either under assumption (24b) or (24a), we can find a function Ψ∈L1(R) such that
∣ψλ(t)∣≤Ψ(t) holds a.e., when ∣λ∣ is small. Thus, we deduce (62) by dominated convergence. Now, we gather the previous results to conclude.
In view of (60), (61) and (62), the minimizer U satisfies the Euler-Lagrange equation
[TABLE]
which is equivalent to
[TABLE]
By elliptic regularity (cf. respectively [16, Theorem 8.34. and Corollary 4.14.] under assumption (24a), and [16, Theorem 8.8. and Corollary 4.14.] under assumption (24b)) it follows that u is a classical solution of (1). When (24a) holds it is clear that u is uniformly continuous on R2, since ∣∇u∣ is bounded on R2.
Similarly, when (24b) holds, Lemma 4.1 implies that ∥u∥H1(D;Rm) and ∥∇W(u)∥L2(D;Rm) are uniformly bounded on the discs D of radius 1 included in the strip [α,β]×R (with [α,β]⊂R). Thus, in view of [16, Theorem 8.8.], u is uniformly continuous on the strip [α,β]×R.
To prove (25b), assume by contradiction the existence of a sequence (tk,xk) such that limk→∞xk=∞, tk∈[α,β], and ∣u(tk,xk)−a+∣>ϵ>0. As a consequence of the uniform continuity of u, we can construct a sequence of disjoint discs of fixed radius, centered at (tk,xk), over which W(u) is bounded uniformly away from zero. This clearly violates the finiteness of E[α,β]×R(u)=J[α,β](U)+Jmin(β−α). To prove (25a), assume by contradiction the existence of a sequence tk such that limk→∞tk=∞, and dH(U(tk),F+)>2ϵ>0. Since R∋t↦U(t)∈H is uniformly continuous, we can construct a sequence of disjoint intervals [tk−η,tk+η] of fixed length over which dH(U(t),F+)>ϵ>0, and W(U(t)) is bounded uniformly away from zero (cf. Lemma 3.1 (ii)). This again violates the finiteness of JR(U). Finally, the equipartition property (iii) is established as in Theorem 1.1, and (iv) follows from (60), since E[α,β]×R(u+ϕ)=J[α,β](U+Φ)+(β−α)Jmin, if suppϕ⊂(α,β)×R.
∎
The proof proceeds as in [7, Proposition 6.1.]. In view of (27), let t0∈R and κ>0 be such that
[TABLE]
For t≤t0 fixed, let e−∈F− be such that dH(U(t),e−)=dH(U(t),F−), and define the map
[TABLE]
By reproducing the argument after (56) we obtain
J[t−1,t](Z)≤W(U(t))+(C+1)dH2(U(t),F−), with C=sup∣u∣≤ρ,∣ν∣=1∣D2W(u)(ν,ν)∣.
Thanks to the variational characterization of U and to (66), it follows that
[TABLE]
Setting θ(t):=∫−∞t(dH2(U(s),F−)+W(U(s)))ds, we deduce that θ∈Wloc1,1((−∞,t0]), and
γθ≤θ′ holds a.e. on (−∞,t0] for some constant γ>0. By integrating this inequality, it follows that
[TABLE]
Now, we notice that by the equipartition property, we have
[TABLE]
and for every j∈N:
[TABLE]
Therefore,
[TABLE]
and U(t)→e− in H, as t→−∞, for some e−∈F−. Similarly, we establish the existence of e+∈F+ such that U(t)→e+ in H, as t→∞.
Next, we choose ϵ∈(0,r/2) such that (μ+1)ϵ2<c(r−2ϵ)ϵ, where μ is defined in (48).
Let L>0 be such that ∣e±(x)−a−∣<ϵ/4 (resp. ∣e±(x)−a+∣<ϵ/4) holds for every x≤−L (resp. x≥L).
Our claim is that ∣u(t,x)−a−∣≤r (resp. ∣u(t,x)−a+∣≤r) holds for x≤−L−1 (resp. x≥L+1) and ∣t∣≥T large enough.
Without loss of generality we are only going to check that ∣u(t,x)−a−∣≤r holds for x≤−L−1 and t≥T large enough. Indeed, otherwise there exists a sequence (tk,xk) such that limk→∞tk=∞, xk≤−L−1, and ∣u(tk,xk)−a−∣>r. Up to subsequence, we have limk→∞u(tk,x)=e+(x) for a.e. x∈R. Let T>0 be such that ∣u(tk,L0)−a−∣≤ϵ/2 holds for some L0∈(−L−1,−L), when tk≥T.
By the uniform continuity of u, there exists η>0 (independent of k) such that ∣u(t,xk)−a−∣≥r−ϵ/2 and ∣u(t,L0)−a−∣≤ϵ hold for t∈[tk−η,tk+η]. In view of (49) and (50) we deduce that
W(U(t))≥c(r−2ϵ)ϵ−(μ+1)ϵ2>0, ∀t∈[tk−η,tk+η], with tk≥T. Thus we obtain ∫RW(U(t))dt=∞ which is a contradiction. This establishes our claim, and now (28b) follows easily from a standard comparison argument. Moreover, using elliptic estimates we also obtain that ∣∇u(t,x)∣≤K′e−k′∣x∣ holds for some constants k′,K′>0, and ∣D2u∣ is bounded on R2. As a consequence, the function R∋t↦ψ(t):=W(U(t)) is Lipschitz, since ψ′(t)=∫R[ux(t,x)⋅utx(t,x)+∇W(u(t,x))⋅ut(t,x)]dx is uniformly bounded by a constant β>0. We infer that
[TABLE]
To see this, let t≤t0 be fixed and let λ:=ψ(t).
For s∈[t−2βλ,t], we have ψ(s)≥ψ(t)−β∣s−t∣≥2λ. Thus, we get
4βλ2≤∫t−2βλtψ(s)ds≤θ(t0)eγ(t−t0), from which (73) is straightforward. Finally, (72) implies that
To prove the existence of the minimizer U~, just replace in the proof of Theorem 1.2, H, dmin, J and A, by H~, d~min, J~ and A~.
Next, given a function Φ∈C01(R;H1(R;Rm)) such that suppΦ⊂[α,β]⊂R, it is clear that for every λ∈R, we have
[TABLE]
and
[TABLE]
On the other hand, proceeding as in the proof of Theorem 1.2 we obtain
[TABLE]
with \psi(t)=\int_{\mathbb{R}}\big{[}\frac{\mathrm{d}[\tilde{U}(t)]}{\mathrm{d}x}\cdot\frac{\mathrm{d}[\Phi(t)]}{\mathrm{d}x}+\nabla W([\tilde{U}(t)](x))\cdot[\Phi(t)](x)\big{]}\mathrm{d}x=D\mathcal{W}(\tilde{U}(t))\Phi(t) (cf. Lemma 3.1 (iii)). Indeed, in view of (63), the functions
ψλ(t):=λ1[W(U~(t)+λΦ(t))−W(U~(t))] converge as λ→0 to ψ(t), and are uniformly bounded when ∣λ∣≤1, by the integrable function
[TABLE]
where κ=supt∈[α,β](∥U~(t)∥L∞(R;Rm)+∥Φ(t)∥L∞(R;Rm)), κ1=sup∣u∣≤κ,∣ν∣=1∣D2W(u)(ν,ν)∣, κ2=sup∣u∣≤κ∣∇W(u)∣, and χ is the characteristic function. Gathering the previous results we conclude that the minimizer U~ satisfies the Euler-Lagrange equation
[TABLE]
and thus U~∈C2(R;H~) is a classical solution of system U~′′=∇W(U~). Next, we notice that the space L2((α,β);H1(R;Rm)) is imbedded in L2((α,β);L2(R;Rm)) which is isomorphic to L2((α,β)×R;Rm). Similarly, the space H1((α,β);H1(R;Rm)) is imbedded in H1((α,β);L2(R;Rm)), thus Lemma 4.1 also applies to U~. That is, setting u~(t,x):=[U~(t)](x), t↦U~(t)∈H~, we have u~∈Hloc1(R2;Rm), u~t∈L2(R2;Rm), and u~x∈L2((α,β)×R;Rm). Furthermore, we can see that u~tx∈L2(R2;Rm) by using difference quotients as in the proof of Lemma 4.1. In view of the previous results, (79) and (76) read respectively (32) and (35), when ϕ(t,x):=[Φ(t)](x) is a C02(R2;Rm) function. To prove (33b), we notice that u~ is uniformly continuous on the strips [α,β]×R, since [α,β]∋t↦U~(t)∈H~ is Lipschitz continuous, and ∣u~(t,x)−u~(t,y)∣≤λ∣x−y∣21 holds for t∈[α,β], x,y∈R, and λ=sup[α,β]∥U~(t)∥H~. Then, we establish (33b), (33a) and the equipartition property (34) as in the proof of Theorem 1.2. Finally, when W satisfies the nondegeneracy condition (36), the arguments in the proof of Theorem 1.2 still apply to show (37), since we have sup{∥e∥L∞(R;Rm):e∈F}<∞ as well as supt∈R∥U~(t)∥L∞(R;Rm)<∞. On the other hand, it is clear in view of (37) that the uniform convergence in (33b) holds for t∈R.
Acknowledgments
The author was partially supported by the National Science Centre, Poland (Grant No. 2017/26/E/ST1/00817)
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