Citation: Paola F. Antonietti, Benoît Merlet, Morgan Pierre, Marco Verani. Convergence to equilibrium for a second-order time semi-discretization ofthe Cahn-Hilliard equation[J]. AIMS Mathematics, 2016, 1(3): 178-194. doi: 10.3934/Math.2016.3.178
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In this paper, we consider a second-order time semi-discretization of the Cahn-Hilliard equation with an analytic nonlinearity, and we prove that any sequence generated by the scheme converges to a steady state as time goes to infinity, provided that the time-step is chosen small enough. The Cahn-Hilliard equation [10] reads
{ut=Δww=−γΔu+f(u)in Ω×(0,+∞), | (1.1) |
where Ω is a bounded subset of Rd (1≤d≤3) with smooth boundary and γ > 0. A typical choice for the nonlinearity is
f(s)=c(s3−s) | (1.2) |
with c > 0. More general conditions on f are given in Section 2, see (2.3)-(2.5). Equation (1.1) is completed with Neumann boundary conditions and an initial datum.
The Cahn-Hilliard equation was analyzed by many authors and used in different contexts (see, e.g., [11,37] and references therein). In particular, it is a H-1 gradient flow for the energy
E(u)=∫Ω[γ2|∇u|2+F(u)]dx, |
where F is an antiderivative of f. Convergence of single trajectories to equilibrium for (1.1)-(1.2) has been proved in [42]. The proof uses the gradient flow structure of the equation and a Łojasiewicz-Simon inequality [44].
In one space dimension, the set of steady states corresponding to (1.1)-(1.2) is finite [24,32]. In this case, the use of a Łojasiewicz-Simon inequality can be avoided [51] but otherwise, the situation is highly complicated; if d=2 or 3, there may even be a continuum of stationary solutions (see, e.g., [47] and references therein). The Łojasiewicz-Simon inequality allows to prove convergence to an equilibrium without any knowledge on the set of steady states. This celebrated inequality is based on the analyticity of f (see [27] for a recent overview). In contrast, for the related semilinear parabolic equation, convergence to equilibrium may fail for a nonlinearity of class C∞ [39].
Using similar techniques, convergence to equilibrium for the non-autonomous Cahn-Hilliard equation was proved in [15], and the case of a logarithmic nonlinearity was considered in [1]. The Cahn-Hilliard equation endowed with dynamic or Wentzell boundary conditions was analyzed in [14,40,48,49]. Coupled systems were also considered (see, e.g., [18,30,41]).
Since many space and/or time discretizations of the Cahn-Hilliard equation are available in the literature (see, e.g., [5,17,20,21,22,26,36,43,50]), it is natural to ask whether convergence to equilibrium also holds for these discretizations, by using similar techniques.
If we consider only a space semi-discretization of (1.1), and if this discretization can be shown to preserve the gradient flow structure, then convergence to equilibrium is a consequence of Łojasiewicz’s classical convergence result [33] and its generalizations [8,27]. Thanks to the finite dimension, the Łojasiewicz-Simon inequality reduces to the standard Łojasiewicz inequality. The latter is a direct consequence of analyticity of the discrete energy functional.
Thus, the situation regarding the space discretization is well understood, and we believe that the focus should be put on the time discretization, in the specific case where the time scheme preserves the gradient flow structure. In this regard, convergence to equilibrium for a fully discrete version of (1.1)-(1.2) was first proved in [34]: the time scheme was the backward Euler scheme and the space discretization was a finite element method. Fully discretized versions of Cahn-Hilliard type equations were considered in [12,13,29], where this nice feature of the backward Euler scheme was again demonstrated [6,25]. In [4], convergence to equilibrium was proved for several fully discretized versions of the closely related Allen-Cahn equation; the time scheme was either first order or second order, conditionnally or unconditionnally stable, and the time-step could possibly be variable. In addition, general conditions ensuring convergence to equilibrium for a time discretization were given [7].
Therefore, the fully discrete case is now also well understood. The last stage is to study the time semi-discrete case. This is all the more interesting since this approach is independent of a choice of a specific space discretization. Convergence to equilibrium was proved for the backward Euler time semi-discretization of the Allen-Cahn equation in [34] (see also [9]). A related damped wave equation was considered in [38].
For schemes different from the backward Euler method, the situation is not so clear, and this is well illustrated by the second order case. Indeed, there exist several second-order time semidiscretizations of (1.1)-(1.2) which preserve the gradient flow structure (see, e.g., [43,50] and references therein). Most of these schemes are one-step methods, which can be seen as variants of the Crank-Nicolson scheme, such as the classical secant scheme [16,17] or the more recent scheme of Gomez and Hughes [21], which is a Crank-Nicolson scheme with stabilization.
However, we have not been able to prove convergence to equilibrium for any of these second-order one-step schemes. One difficulty is that the gradient of E (cf. (3.2)) is treated in an implicit/explicit way, and another difficulty is that the discrete dynamical system associated with the scheme is defined on a space of infinite dimension. The first difficulty can be circumvented in finite dimension, as recently shown in [23], where convergence to equilibrium was proved for a fully discrete approximation of the modified phase-field crystal equation using the second-order time discretization of Gomez and Hughes. A related difficulty has been pointed out in [46] where the stability of the Crank-Nicolson scheme for the Navier-Stokes equation was proved in a finite dimensional setting only.
In this paper, instead of a Crank-Nicolson type method, we use a standard two-step scheme with fixed time-step, namely the backward differentiation formula of order two. It is well-known [43,45] that this scheme enjoys a Lyapunov stability, namely, if the time-step is small enough, a so-called pseudoenergy (cf. (2.17)) is nonincreasing at every time iteration. Thanks to the implicit treatment of the gradient of E (cf. (2.13)), the proof of convergence is similar to the case of the backward Euler scheme in [34,38]. Using the Lyapunov stability, we first prove Lasalle’s invariance principle by a compactness argument (Proposition 3.1). Convergence to a steady state is then obtained as a consequence of an appropriate Łojasiewicz-Simon inequality (Lemma 3.2), which is the most technical point. In order to derive the convergence rate in H1 norm, we also take advantage of the fact that the scheme is more dissipative than the original equation (see Remark 2.4).
It would be interesting to extend our convergence result to first-order or second-order schemes where the nonlinearity is treated explicitly. In order for such schemes to preserve the gradient structure, the standard approach is to truncate the cubic nonlinearity f (cf. (1.2)) at±∞ so as to have a linear growth at most [43]. However, it is not known if the energy associated with such a nonlinearity satisfies a Łojasiewicz-Simon inequality, in contrast with the finite-dimensional case where it can be proved for certain space discretizations [4].
It could also be of interest to investigate whether a similar convergence result holds for the p-step backward differentiation formula (BDF), with p≥3. A favorable situation is the 3-step BDF method, which preserves the gradient flow structure, at least in finite dimension [45]. The paper is organized as follows. In Section 2, we introduce the scheme, we establish its wellposedness and we show that it is Lyapunov stable. In Section 3, we prove the convergence result.
Let H=L2(Ω) be equipped with the L2(Ω) norm |·|0 and the L2(Ω) scalar product (·, ·). We denote V=H1(Ω) the standard Sobolev space based on the L2(Ω) space. We use the hilbertian semi-norm |·|1=|▽·|0 in V, and the norm in V is ‖v‖21=|v|20+|v|21. We denote −Δ:V→V′ the bounded operator associated with the inner product on V through
⟨−Δu,v⟩V′,V=(∇u,∇v),∀u,v∈V, |
where V′ is the topological dual of V. As usual, we will denote Wk, p(Ω) the Sobolev spaces based on the Lp(Ω) space [19].
For a function u∈L2(Ω), we denote
⟨u⟩=1|Ω|∫Ωudx and ˙u=u−⟨u⟩, |
where |Ω| is the Lebesgue measure of Ω. We also define
˙H={u∈L2(Ω), ⟨u⟩=0},˙V=V∩˙H. |
We will use the continuous and dense injections
˙V⊂˙H=˙H′⊂˙V′. |
As a consequence of the Poincar′e-Wirtinger inequality, the norms ||v||1 and
v↦(|v|21+⟨v⟩2)1/2 | (2.1) |
are equivalent on V. The operator −˙Δ:˙V→˙V′, that is the restriction of-Δ, is an isomorphism. The scalar product in ˙V′ is given by
(˙u,˙v)−1=(∇(−˙Δ)−1˙u,∇(−˙Δ)−1˙v)=⟨˙u,(−˙Δ)−1˙v⟩˙V′,˙V |
and the norm is given by
|˙u|2−1=(˙u,˙u)−1=⟨˙u,(−˙Δ)−1˙u⟩˙V′,˙V. |
We recall the interpolation inequality
|˙u|20≤|˙u|−1|˙u|1,∀˙u∈˙V. | (2.2) |
We assume that the nonlinearity f: R→R is analytic and if d≥2, we assume in addition that there exist a constant C > 0 and a real number p≥0 such that
|f′(s)|≤C(1+|s|p),∀s∈R, | (2.3) |
with p < 4 if d=3. No growth assumption is needed if d=1. We also assume that
f′(s)≥−cf,∀s∈R, | (2.4) |
for some (optimal) nonnegative constant cf, and that
lim inf|s|→+∞f(s)s>0. | (2.5) |
We define the energy functional
E(u)=γ2|u|21+(F(u),1), | (2.6) |
where F(s) is a given antiderivative of f. The Sobolev injection V⊂Lp+2(Ω) and the growth assumption (2.3) ensure that E(u)<+∞ and f(u)∈V′, for all u∈V. In fact, by [31, Corollaire 17.8], the functional E is of class C2 on V. For any u,v,w∈V, we have
⟨dE(u),v⟩V′,V=∫Ω[γ∇u⋅∇v+f(u)v]dx, | (2.7) |
⟨d2E(u)v,w⟩V′,V=∫Ω[γ∇v⋅∇w+f′(u)vw]dx, | (2.8) |
where dE(u)∈V′ is the first differential of E at u and d2E(u)∈L(V,V′) is the differential of order two of E at u.
If u is a regular solution of (1.1), on computing we see that
ddtE(u(t))=−|w|21=−|ut|2−1t≥0, | (2.9) |
so that E is a Lyapunov functional associated with (1.1).
Let τ>0 denote the time-step. The second-order backward differentiation scheme for (1.1) reads [43,45]: let (u0,u1)∈V×V and for n=1, 2, ..., let (un+1,wn+1)∈V×V solve
{12τ(3un+1−4un+un−1,φ)+(∇wn+1,∇φ)=0(wn+1,ψ)=γ(∇un+1,∇ψ)+(f(un+1),ψ), | (2.10) |
for all (φ,ψ)∈V×V. For simplicity, we assume that
⟨u0⟩=⟨u1⟩, | (2.11) |
so that, by induction, any sequence (un) which complies with (2.10) satisfies ⟨un⟩=⟨u0⟩ for all n (choose φ=1/|Ω| in (2.10)). We note that w0 and w1 need not be defined.
For later purpose, we note that if ⟨un⟩=⟨un−1⟩, then (2.10) is equivalent to
{⟨un+1⟩=⟨un⟩(−˙Δ)−1(3un+1−4un+un−1)2τ+˙wn+1=0˙wn+1=−γΔun+1+f(un+1)−⟨f(un+1)⟩⟨wn+1⟩=⟨f(un+1)⟩. | (2.12) |
Eliminating wn+1 leads to
(−˙Δ)−1(3un+1−4un+un−1)2τ−γΔun+1+f(un+1)−⟨f(un+1)⟩=0. | (2.13) |
Proposition 2.1 (Existence for all τ). For all (u0,u1)∈V×V such that ⟨u0⟩=⟨u1⟩, there exists at least one sequence (un,wn)n which complies with (2.10). Moreover, ⟨un⟩=⟨u0⟩ for all n.
Proof. Existence can be obtained by minimizing an appropriate functional. By induction, assume that for some n≥1, (un−1,un)∈V×V is defined, with ⟨un⟩=⟨un−1⟩=⟨u0⟩. Then, by (2.13), un+1 can be obtained by solving
min{Gn(v) : v∈V, ⟨v⟩=⟨u0⟩}, | (2.14) |
where
Gn(v)=34τ|˙v|2−1+12τ(−4˙un+˙un−1,˙v)−1+E(v). |
By (2.5), there exist κ1>0 and κ2≥0 such that
F(s)≥κ1s2−κ2,∀s∈R. |
Thus, for all v∈V,
(F(v),1)≥κ1|v|20−κ2|Ω|, |
and so
E(v)≥κ3‖v‖21−κ2|Ω|, | (2.15) |
with κ3=min{γ/2,κ1}>0. Moreover, by the Cauchy-Schwarz inequality,
|(−4˙un+˙un−1,˙v)−1|≤|˙v|−1|−4˙un+˙un−1|−1≤32|˙v|2−1+Cn, |
for some constant Cn which depends on |˙un|−1 and |˙un−1|−1. Summing up, we have proved that
Gn(v)≥κ3‖v‖21−κ2|Ω|−Cn2τ. |
By considering a minimizing sequence (vk) for problem (2.14), we obtain a minimizer, i.e. un+1. Then wn+1 can be recovered from un+1 by (2.12).
Proposition 2.2 (Uniqueness). If 1/τ>c2f/(6γ), then for every (u0,u1)∈V×V such that ⟨u0⟩=⟨u1⟩, there exists at most one sequence (un,wn)n which complies with (2.10).
Proof. Assume that (un+1,wn+1) and (˜un+1,˜wn+1) are two solutions of (2.10), and denote δu=un+1−˜un+1, δw=wn+1−˜wn+1. On subtracting, we obtain
3(δu,φ)/(2τ)+(∇δw,∇φ)=0,(δw,ψ)=γ(∇δu,∇ψ)+(f(un+1)−f(˜un+1),ψ), | (2.16) |
for all (φ,ψ)∈V×V. Choosing φ=δw and ψ=δu yields
−(2τ/3)|δw|21=γ|δu|21+(f(un+1)−f(˜un+1),δu). |
Using the mean value inequality and (2.4) yields
(s−r)(f(s)−f(r))=f′(ξ)(s−r)2≥−cf(s−r)2, |
for all r,s∈R, for some ξ∈R depending on r,s. Thus,
cf|δu|20≥γ|δu|21+(2τ/3)|δw|21. |
Using now (2.16) with φ=δu, we obtain
cf|δu|20=−(2τcf/3)(∇δw,∇δu)≤γ|∇δu|20+τ2c2f9γ|∇δw|2. |
If τc2f<6γ, then δ˙w=0, and by (2.16), δu=0 also. Uniqueness follows.
We define the following pseudo-energy
ε(u,v)=E(u)+14τ|˙v|2−1,∀(u,v)∈V×V′. | (2.17) |
For a sequence (un)n, let also δun=un−un−1 denote the backard difference. The following relation will prove useful,
3un+1−4un+un−1=2δun+1+(δun+1−δun). | (2.18) |
Proposition 2.3 (Lyapunov stability). Let ε∈[0,1). If (un,wn)n is a sequence which complies with (2.10)-(2.11), then for all n≥1,
ε(un+1,δun+1)+εγ2|un+1−un|21+(1τ−c2f8γ(1−ε))|un+1−un|2−1+14τ|δun+1−δun|2−1≤ε(un,δun). | (2.19) |
Proof. We take the L2 scalar product of equation (2.13) by δun+1 and we use (2.18).
1τ|δun+1|2−1+12τ(δun+1−δun,δun+1)−1+γ(∇un+1,∇(un+1−un))=(f(un+1),un−un+1). |
By the Taylor-Lagrange formula, from (2.4), we deduce that
F(r)−F(s)≥f(s)(r−s)−cf2|r−s|2,∀r,s∈R. |
Thus,
(f(un+1),un−un+1)≤(F(un),1)−(F(un+1),1)+cf2|un+1−un|20. |
Next, we use the well-known identity
(a,a−b)m=12|a|2m−12|b|2m+12|a−b|2m, |
for m=-1 and m=0. We find
1τ|δun+1|2−1+14τ(|δun+1|2−1−|δun|2−1+|δun+1−δun|2−1)+γ2(|un+1|21−|un|21+|un+1−un|21)≤(F(un),1)−(F(un+1),1)+cf2|un+1−un|20. | (2.20) |
The interpolation inequality (2.2) and Young’s inequality yield
cf2|un+1−un|20≤γ(1−ε)2|un+1−un|21+c2f8γ(1−ε)|un+1−un|2−1. |
Plugging this into (2.20) gives (2.19).
Remark 2.4. If τ is small enough, then by choosing ε∈(0,1), we see that the scheme (2.10) is more dissipative than the original equation (1.1), since the H1 norm |un+1−un|21 appears in (2.19); in contrast, only the H−1 norm |ut|2−1 appears in (2.9).
For a sequence (un)n in V, we define its omega-limit set by
ω((un)n):={u⋆∈V : ∃nk→∞, unk→u⋆ (strongly) in V}. |
Let M∈R be given and consider the following affine subspace of V,
VM={v∈V : ⟨v⟩=M}=M+˙V. | (3.1) |
The set of critical points of E (see (2.6)) in VM is
SM={u⋆∈VM :−γΔu⋆+f(u⋆)−⟨f(u⋆)⟩=0 in ˙V′}. |
Indeed, we already know that E∈C2(VM;R). Observe that, for any u∈VM, ˙v∈˙V, we have (see (2.7))
⟨dE(u),v⟩˙V′,˙V=∫Ω[γ∇u⋅∇v+f(u)v]dx=∫Ω[γ∇u⋅∇v+(f(u)−⟨f(u)⟩)v]dx=⟨−γΔu+f(u)−⟨f(u)⟩,v⟩˙V′,˙V. | (3.2) |
By definition, u⋆ is a critical point of E in VM if dE(u⋆)=0 in ˙V′. The definition of SM follows.
Proposition 3.1. Assume that 1/τ>c2f/(8γ) and let (un,wn)n be a sequence which complies with (2.10)-(2.11). Then δun→0 in V and ω((un)n) is a nonempty compact and connected subset of V which is included in SM with M=⟨u0⟩. Moreover, E is constant on ω((un)n).
Proof. Using the assumption on τ, we may choose ε∈(0,1) such that 1/τ=c2f/(8γ(1−ε)). Then (2.19) reads
ε(un+1,δun+1)+εγ2|un+1−un|21+14τ|δun+1−δun|2−1≤ε(un,δun), | (3.3) |
for all n≥1. In particular, (ε(un,δun))n is non increasing. Moreover, by (2.15),
ε(u,v)≥κ3‖u‖21+14τ|˙v|2−1−κ2|Ω|,∀(u,v)∈V×V′. | (3.4) |
Since ε(u1,δu1)<+∞, we deduce from (3.4) that (un,δun) is bounded in V×V′ and that ε(un,δun) is bounded from below. Thus, ε(un,δun) converges to some ε⋆ in R. By induction, from (3.3)-(3.4) we also deduce that
∑∞n=1|un+1−un|21≤2εγ(ε(u1,δu1)+κ2|Ω|)<+∞. |
In particular, δun→0 in V. This implies that E(un)→ε⋆, and so E is equal to ε⋆ on ω((un)n).
Next, we claim that the sequence (un) is precompact in V. Let us first assume d=3. We deduce from the Sobolev imbedding [19] that (un) is bounded in L6(Ω). By the growth condition (2.3), there exists 2≥q>6/5 such that ‖f(un+1)‖Lq(Ω)≤M1, where M1 is independent of n. By elliptic regularity [3], we deduce from (2.13) that (un+1)n≥1 is bounded in W2,q(Ω). Finally, from the Sobolev imbedding [19], W2,q(Ω) is compactly imbedded in V, and the claim is proved.
In the case d=1 or 2, we obtain directly from the Sobolev imbedding that f(un+1) is bounded in Lq(Ω), for any q<+∞, and we conclude similarly.
As a consequence, ω((un)n) is a nonempty compact subset of V. Since |un+1−un|1→0, ω((un)n) is also connected. Let finally u⋆ belong to ω((un)n), with nk→∞ such that unk→u⋆ in V. We let nk tend to ∞ in (2.11). Thanks to (2.13), the whole sequence (un) belongs to VM and u⋆ as well, where M=⟨u0⟩. By (2.18), the term corresponding to the discrete time derivative tends to 0 in V, and we obtain that u⋆ belongs to SM.
If the critical points of E are isolated, i.e. SM is discrete, then Proposition 3.1 ensures that the sequence (un)n converges in V. However, as pointed out in the introduction, the structure of SM is generally not known, and there may even be a continuum of steady states. In such cases, the Łojasiewicz-Simon inequality which follows is needed to ensure convergence of the whole sequence (un).
Lemma 3.2. Let u⋆∈SM. Then there exist constants θ∈(0,1/2) and δ>0 depending on u⋆ such that, for any u∈VM satisfying |u−u⋆|1<δ, there holds
|E(u)−E(u⋆)|1−θ≤|−γΔu+f(u)−⟨f(u)⟩|−1. | (3.5) |
Proof. We will apply the abstract result of Theorem 11.2.7 in [27]. We introduce the auxiliary functional EM(v)=E(M+v) on ˙V. We will also use the auxiliary functions
fM(s)=f(M+s) and FM(s)=F(M+s). |
It is obvious that
EM(v)=∫Ω[γ2|∇v|2+FM(v)]dx. |
The function EM is of class C2 on ˙V and by (3.2), for any v∈˙V, we have
dEM(v)=−γΔv+fM(v)−⟨fM(v)⟩ in ˙V′. |
Similarly, by (2.8), for any v,φ∈˙V, we have
d2EM(v)φ=−γΔφ+f′M(v)φ−⟨f′M(v)φ⟩ in ˙V′. | (3.6) |
Let v⋆∈˙V be a critical point of EM, i.e. a solution of dEM(v⋆)=0 in ˙V′. Using (2.3) and elliptic regularity, we obtain that v⋆∈C0(¯Ω)⊂L∞(Ω). In particular, f′M(v)∈L∞(Ω). The operator A=d2EM(v⋆)∈L(˙V,˙V′) (cf.(3.6)) can be written
A=−γΔ+P0(f′M(v⋆)Id), |
where −γΔ:˙V→˙V′ is an isomorphism, P0:H→˙H is the L2-projection operator, and f′M(v⋆)Id:˙V→H is a multiplication operator. Since ˙V is compactly imbedded in ˙H [19], f′M(v⋆)Id:˙V→H is compact, and P0(f′M(v⋆)Id) as well. Using [27, Theorem 2.2.5], we obtain that A is a semi-Fredholm operator.
Next, let N(A) denote the kernel of A, and Π:˙V→N(A) the L2 projection. By [27, Corollary 2.2.6], L:=A+Π:˙V→˙V′ is an isomorphism. We choose Z=˙H and denote W=L−1(Z); W is a Banach space for the norm ‖w‖W=|L(w)|0. We claim that W is continuously imbedded in W2,2(Ω).
Indeed, by definition, w∈W if and only if w∈˙V and L(w)=g for some g∈Z, i.e.
w∈˙V and −γΔw+f′M(v⋆)w−⟨f′M(v⋆)w⟩+Πw=g. |
Thus, −Δw∈˙H. By elliptic regularity [3], w∈W2,2(Ω). Moreover, by the triangle inequality,
γ|−Δw|0≤C‖f′M(v⋆)‖L∞|w|0+|Πw|0+|L(w)|0≤C‖w‖W, |
where C is a constant independent of w. But, by elliptic regularity [3], we also know that ‖w‖W2,2≤C|−Δw|0 for all w∈˙V. This proves the claim.
The Nemytskii operator fM:v↦fM(v) is analytic from L∞(Ω) into L∞(Ω) (see [27, Example 2.3]). Using [27, Proposition 2.3.4], we find that the functional v↦∫ΩFM(v) is real analytic from L∞(Ω) into R. Thus, EM, which is the sum of a continuous quadratic functional and of a functional which is real analytic on W⊂W2,2(Ω)⊂L∞(Ω), is real analytic on W. We also obtain that dEM:W→Z is real analytic.
We are therefore in position to apply the abstract Theorem 11.2.7 in [27], which shows that there exist θ∈(0,1/2) and δ>0 such that for all v∈˙V,
|v−v⋆|1<δ⇒|EM(v)−EM(v⋆)|1−θ≤|dEM(v)|−1. | (3.7) |
Finally, we note that any u⋆∈SM can be written u⋆=M+v⋆, where v⋆ is a critical point of EM; by definition of VM, any u∈VM can be written u=M+v with v∈˙V. The expected Łojasiewicz-Simon inequality (3.5) is exactly (3.7) written in terms of u⋆, u, E and f.
Theorem 3.3. Assume that 1/τ>c2f/(8γ) and let (un,wn)n be a sequence which complies with (2.10)-(2.11). Then the whole sequence converges to (u∞,w∞) in V×V, with u∞∈SM, M=⟨u0⟩, and w∞ constant. Moreover, the following convergence rate holds
‖un−u∞‖1+‖wn−w∞‖1≤Cn−θ1−θ, | (3.8) |
for all n≥2, where C is a constant depending on ‖u0‖1, ‖u1‖1, f, γ, τ, and θ, while θ∈(0,1/2) may depend on u∞.
Proof. Let M=⟨u0⟩. For every u⋆∈ω((un)n), there exist θ∈(0,1) and δ>0 which may depend on u⋆ such that the inequality (3.5) holds for every u∈Bδ(u⋆)={u∈VM : |u−u⋆|<δ}. The union of balls {Bδ(u⋆) : u⋆∈ω((un)n)} forms an open covering of ω((un)n) in VM. Due to the compactness of ω((un)n) in V, we can find a finite subcovering {Bδi(ui⋆)}mi=1 such that the constants δi and θi corresponding to ui⋆ in Lemma 3.2 are indexed by i.
From the definition of ω((un)n), we know that there exists a sufficiently large n0 such that un∈U=∪mi=1Bδi(ui⋆) for all n≥n0. Taking θ=minmi=1{θi}, we deduce from Lemma 3.2 and Proposition 3.1 that for all n≥n0,
|E(un)−ε⋆|1−θ≤|−γΔun+f(un)−⟨f(un)⟩|−1, | (3.9) |
where ε⋆ is the value of E on ω((un)n). We may also assume (by taking a larger n0 if necessary) that for all n≥n0, |δun|−1≤1.
We denote Φn=ε(un,δun)−ε⋆, so that Φn≥0 and Φn is nonincreasing. Let n≥n0. Using the inequality (a+b)1−θ≤a1−θ+b1−θ, valid for all a,b≥0, together with (3.9), we obtain
Φ1−θn+1≤|E(un+1)−ε⋆|1−θ+(4τ)θ−1|δun+1|2(1−θ)−1≤|−γΔun+1+f(un+1)−⟨f(un+1)⟩|−1+(4τ)θ−1|δun+1|−1≤C(|un+1−un|−1+|δun+1−δun|−1),≤C(|un+1−un|21+|δun+1−δun|2−1)1/2 | (3.10) |
where C=C(τ,θ,‖(−˙Δ)−1‖L(˙V′,˙V′),‖(−˙Δ)−1‖L(˙V,˙V)) (here and in the following, C denotes a generic positive constant independent of n). For the third inequality, we have used (2.13) and (2.18). Next, we choose ε∈(0,1) such that 1/τ=c2f/(8γ(1−ε)). Then (3.3) holds, and it can be written
Φn−Φn+1≥C(|un+1−un|21+|δun+1−δun|2−1), | (3.11) |
with C=C(τ,γ,ε)>0.
Assume first that Φn+1>Φn/2. Then
Φθn−Φθn+1=θ∫ΦnΦn+1xθ−1dx≥θΦn−Φn+1Φn≥2θ−1θΦn−Φn+1Φ1−θn+1. |
Using (3.10) and (3.11), we find
Φθn−Φθn+1≥C(|un+1−un|21+|δun+1−δun|2−1)1/2, |
where C=C(τ,θ,γ,ε,‖(−˙Δ)−1‖L(˙V′,˙V′),‖(−˙Δ)−1‖L(˙V,˙V)).
Now, if Φn+1≤Φn/2, then
Φ1/2n−Φ1/2n+1≥(1−1/√2)Φ1/2n≥(1−1/√2)(Φn−Φn+1)1/2 |
and using (3.11) again, we find
Φ1/2n−Φ1/2n+1≥C(|un+1−un|21+|δun+1−δun|2−1)1/2. |
Thus, in both cases, we have
|un+1−un|1≤C(Φθn−Φθn+1)+C(Φ1/2n−Φ1/2n+1), | (3.12) |
for all n≥n0. Summing on n≥n0, we obtain
∑∞n=n0|un+1−un|1≤CΦθn0+CΦ1/2n0<+∞. | (3.13) |
Using the Cauchy criterion, we find that the whole sequence (un) converges to some u∞ in V. By Proposition 3.1, u∞ belongs to SM. Using the second equation in (2.12), we see that ˙wn→0. For the term ⟨wn⟩, we write
∫Ω|f(un)−f(u∞)|dx=∫Ω|∫10f′((1−s)un+su∞)(un−u∞)ds|dx. |
Using assumption (2.3), Hölder's inequality and Sobolev imbeddings, we find
∫Ω|f(un)−f(u∞)|dx≤C(‖un‖1,‖u∞‖1)‖un−u∞‖1. |
Since (un) is bounded in V, this yields, for all n≥2,
|⟨wn⟩−w∞|=|⟨f(un)⟩−⟨f(u∞)|⟩≤⟨|f(un)−f(u∞)|⟩≤C‖un−u∞‖1, | (3.14) |
where we have used the last equation in (2.12) and where w∞=⟨f(u∞)⟩. This implies that wn→w∞ in V (see (2.1)), and it concludes the proof of convergence.
For the convergence rate, we will first show that
0≤Φn≤Cn−11−2θ, | (3.15) |
for all n≥n1, for some n1>n0 large enough. The exponent θ is the same as above. If Φn1=0 for some n1≥n0, then Φn=0 for all n≥n1, and estimate 3.15 is obvious. So we may assume that Φn>0 for all n. Let n≥n0 and denote G(s)=1s1−2θ. The sequence G(Φn) is nondecreasing and tends to +∞.
If Φn+1>Φn/2, then
G(Φn+1)−G(Φn)=∫ΦnΦn+11−2θs2−2θds≥(1−2θ)22θ−2Φ2θ−2n+1[Φn−Φn+1](3.11)≥CΦ2θ−2n+1(|un+1−un|21+|δun+1−δun|2−1)(3.10)≥C1, |
where C1 is a positive constant independent of n.
If Φn+1≤Φn/2 and Φn≤1, then
G(Φn+1)−G(Φn)≥21−2θ−1Φ1−2θn≥21−2θ−1. |
Let n′0≥n0 be large enough so that Φn′0≤1. Then, in both cases, for all n≥n′0, we have
G(Φn+1)−G(Φn)≥C2, |
where C2=min{C1,21−2θ−1}>0. By summation on n, we obtain
G(Φn)−G(Φn′0)≥C2(n−n′0), |
for all n≥n′0. Thus, by choosing n1>n′0 large enough, we have
G(Φn)≥C22n, |
for all n≥n1, which yields (3.15).
Now, by summing estimate (3.12) on n, we find
|un−u∞|1≤∑∞k=n|uk+1−uk|1≤CΦθn+CΦ1/2n≤CΦθn, |
for all n≥n1. Using (3.15) yields
‖un−u∞‖1≤Cn−θ1−2θ, | (3.16) |
for all n≥n1. We may change the constant C in order for the estimate to hold for all n≥2. From (3.16) and the second equation in (3.12), we obtain the convergence rate for (˙wn). The convergence rate for ⟨wn⟩ is a consequence of (3.16) and (3.14). This concludes the proof.
Remark 3.4. It is possible to show that a local minimizer of E in VM is stable uniformly with respect to τ. More precisely, let (uτn)n denote a sequence which complies with (2.13) and corresponding to a time-step τ. We assume τ∈(0,τ⋆] where τ⋆>0 is such that 1/τ⋆>c2f/(8γ). If u⋆∈VM is a local minimizer of E in VM, and if uτ0=uτ1 is close enough to u⋆ in VM, then the whole sequence (uτn)n remains close to u⋆, uniformly with respect to τ∈(0,τ⋆]. The proof of this stability result is based on the Łojasiewicz-Simon inequality (it may be false for a C∞ nonlinearity, see [2]). It is proved in [4] for several fully discrete approximations of the Allen-Cahn equation. The case of the semi-discrete scheme (2.13) is more involved. Indeed, dissipative estimates (uniform in τ) are needed to obtain pre-compactness of the set {uτn : τ∈(0,τ⋆], n∈N} in VM. Moreover, as τ→0+, the dissipation due to the scheme vanishes (cf. Remark 2.4). Thus, instead of the series ∑n|uτn+1−uτn|1 (cf. (3.13)), we have to deal with the series ∑n|uτn+1−uτn|−1. We refer the interested reader to [28,35] for the proof of stability of a local minimizer in an infinite dimensional setting (for continuous dynamical systems).
Paola F. Antonietti has been partially supported by SIR Project No. RBSI14VT0S“PolyPDEs: Non-conforming polyhedral finite element methods for the approximation of partial differential equations”funded by MIUR.
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