We obtain density estimates for the free boundaries of minimizers u≥0 of the Alt-Phillips functional involving negative power potentials
∫Ω(|∇u|2+u−γχ{u>0})dx,γ∈(0,2).
These estimates remain uniform as the parameter γ→2. As a consequence we establish the uniform convergence of the corresponding free boundaries to a minimal surface as γ→2. The results are based on the Γ-convergence of these energies (properly rescaled) to the Dirichlet-perimeter functional
∫Ω|∇u|2dx+PerΩ({u=0}),
considered by Athanasopoulous, Caffarelli, Kenig, and Salsa.
Citation: Daniela De Silva, Ovidiu Savin. Uniform density estimates and Γ-convergence for the Alt-Phillips functional of negative powers[J]. Mathematics in Engineering, 2023, 5(5): 1-27. doi: 10.3934/mine.2023086
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We obtain density estimates for the free boundaries of minimizers u≥0 of the Alt-Phillips functional involving negative power potentials
∫Ω(|∇u|2+u−γχ{u>0})dx,γ∈(0,2).
These estimates remain uniform as the parameter γ→2. As a consequence we establish the uniform convergence of the corresponding free boundaries to a minimal surface as γ→2. The results are based on the Γ-convergence of these energies (properly rescaled) to the Dirichlet-perimeter functional
∫Ω|∇u|2dx+PerΩ({u=0}),
considered by Athanasopoulous, Caffarelli, Kenig, and Salsa.
Energy functionals involving the Dirichlet integral of a density u and a potential term W(u)
∫Ω|∇u|2+W(u)dx, |
appear in various models in the calculus of variations. A classical example is the Allen-Cahn [1] energy given by the double-well potential
W(t)=(1−t2)2, |
which is relevant in the theory of phase-transitions and minimal surfaces. In their celebrated result, Modica and Mortola [13] showed that 0-homogenous rescalings of bounded minimizers |u|≤1, converge up to subsequences to a ±1 configuration separated by a minimal surface, i.e.,
uϵ(x)=u(xϵ)→χE−χEcin L1loc,as ϵ→0, | (1.1) |
with E a set of minimal perimeter. At the level of the energy, this result is expressed in terms of the Gamma-convergence of the rescaled energies
∫Ωϵ|∇u|2+1ϵW(u)dx, |
to a multiple of the perimeter functional c0PerΩ(E).
Other examples of energies appear in the theory of free boundary problems. When the potential W(t) is not of class C1,1 near a minimum point, say t=0, minimizers can develop patches where they take this value. The boundary of such a patch ∂{u=0} is the free boundary. Two particular potentials of interest are given by
W(t)=t+, |
which corresponds to the obstacle problem (for a comprehensive survey see [14]), and by
W(t)=χ{t>0}, |
which corresponds to the Bernoulli free boundary problem (see for example [2,3,8]). These can be viewed as part of the family of power-potentials
W(t)=(t+)β,β∈[0,2), |
which were considered by Alt and Phillips [4] in the early 80's.
Recently in [10], we investigated properties of non-negative minimizers and their free boundaries for Alt-Phillips potentials of negative powers
W(t)=t−γχ{t>0},γ∈(0,2). |
These potentials are relevant in the applications, for example in liquid models with large cohesive internal forces in regions of low density. The upper bound γ<2 is necessary for the finiteness of the energy.
In [10] we showed that minimizers u≥0 of the Alt-Phillips functional involving negative power potentials
Eγ(u):=∫Ω(|∇u|2+u−γχ{u>0})dx,γ∈(0,2), | (1.2) |
have optimal Cα Hölder continuity. The free boundary
F(u):=∂{u>0} |
is characterized by an expansion of the type
u=cαdα+o(d2−α),α:=22+γ∈(12,1), |
where d denotes the distance to F(u) and cαdα represents the explicit 1D homogenous solution. Furthermore, we showed that F(u) is a hypersurface of class C1,β up to a closed singular set of dimension at most n−k(γ), where k(γ)≥3 is the first dimension in which a nontrivial α-homogenous minimizer exists. We also established the Gamma-convergence of a suitable multiple of the Eγ to the perimeter of the positivity set PerΩ({u>0}) as γ→2.
In this work we investigate in more detail the properties of minimizers as the parameter γ tends to the critical value 2, and make precise the connection between their free boundaries and the theory of minimal surfaces. In particular we establish density estimates and the uniform convergence (up to subsequences) of the free boundaries F(uk) to a minimal surface, for a sequence of bounded minimizers uk corresponding to parameters γk→2, see Corollary 4.2. Uniform convergence results in different settings were obtained by Caffarelli and Cordoba [7] for the Allen-Cahn energy and the convergence in (1.1), and by Caffarelli and Valdinoci [9] for the s-nonlocal minimal surfaces with s→1. We also refer the reader to other related works in similar contexts [5,11,15,16,17].
The constants in the Hölder and density estimates obtained in [10] degenerate as γ→2. However, here we develop uniform estimates in γ, and for this it is convenient to rescale the potential term in the functional Eγ in a suitable way (see (2.1)). We further establish the Gamma-convergence to the Dirichlet-perimeter functional
F(u):=∫Ω|∇u|2dx+PerΩ({u=0}), |
which was studied by Athanasopoulous, Caffarelli, Kenig, Salsa in [6]. Heuristically, this shows that the cohesive term W has the effect of surface tension as γ→2.
Let Ω be a bounded domain in Rn with Lipschitz boundary. We consider Jγ, a rescaling of Eγ, which acts on functions
u:Ω→R,u∈H1(Ω),u≥0, |
and it is defined as
Jγ(u,Ω):=∫Ω|∇u|2+Wγ(u)dx, | (2.1) |
where
Wγ(u):=cγu−γχ{u>0},withcγ:=116⋅(2−γ)2,γ∈(0,2). | (2.2) |
We study uniform properties of the minimizers of Jγ as γ→2−. We often drop the dependence on γ from J and W when there is no possibility of confusion.
Notice that u is a minimizer of Eγ defined in (1.2), if and only if c(γ)u is a minimizer of Jγ, with c(γ)=c1γ+2γ an appropriate constant depending only on γ, and c(γ)→0 as γ→2.
The constant cγ in (2.2) is chosen such that
∫102√Wγ(s)ds=1. | (2.3) |
The homogenous 1D solution φ plays an important role in the analysis. It is given by
φ(t):=c∗γ(t+)α, | (2.4) |
with
α:=22+γ,c∗γ:=((1+γ2)2cγ)1γ+2, |
and satisfies
φ′=(Wγ(φ))1/2,in{φ>0}. | (2.5) |
We differentiate the last equality and obtain that φ solves the Euler-Lagrange equation
2φ″=W′γ(φ)in{φ>0}. | (2.6) |
Positive constants depending only on the dimension n are denoted by c, C, and referred to as universal constants.
The first result is an optimal uniform growth estimate.
Theorem 2.1. Let u be a minimizer of Jγ in B1 and assume u(0)=0. Then, there exists a universal constant C such that
u(x)≤C|x|α,α:=22+γ,∀x∈B1/2. |
The second theorem gives the uniform density estimate of the free boundary.
Theorem 2.2 (Density estimates). There exists a universal constant c0 such that if u is a nonnegative minimizer of Jγ in B1 and 0∈F(u) then
1−c0≥|{u>0}∩Br||Br|≥c0,∀r≤12. |
The following result is a direct consequence of Theorems 2.1 and 2.2.
Corollary 2.3. Let u be a nonnegative minimizer of Jγ in B1. If 0∈F(u) then for all r∈(0,1/2) each of the sets {u=0}∩Br and {u>0}∩Br contains an interior ball of radius cr. Moreover
crn−αγ≤J(u,Br)≤Crn−αγ. |
Next we introduce the Dirichlet-perimeter functional F introduced by Athanasopoulous, Caffarelli, Kenig, Salsa in [6]. It acts on the space of admissible pairs (u,E) consisting of functions u≥0 and measurable sets E⊂Ω which have the property that u=0 a.e. on E,
A(Ω):={(u,E)|u∈H1(Ω),E Caccioppoli set, u≥0 in Ω, u=0 a.e. in E}. |
The functional F is given by the Dirichlet-perimeter energy
FΩ(u,E)=∫Ω|∇u|2dx+PΩ(E), |
where PΩ(E) represents the perimeter of E in Ω
PΩ(E)=∫Ω|∇χE|=sup∫ΩχEdivgdxwithg∈C∞0(Ω),|g|≤1. |
The next theorem establishes the Γ-convergence of the Jγ's.
Theorem 2.4. As γ→2, the functionals Jγ Γ-converge to F.
More precisely we have:
a) (lower semicontinuity) if γk→2 and uk satisfy
u1−γk/2k→χEcin L1(Ω),uk→uin L2(Ω), |
then
lim infJγk(uk,Ω)≥FΩ(u,E). |
b) (approximation) given (u,E)∈A(Ω) with u a continuous in ¯Ω, there exists γk→2 and uk such that
u1−γk/2k→χEcin L1(Ω),uk→uin L2(Ω), |
Jγk(uk,Ω)→FΩ(u,E). |
Our main result gives the strong convergence of the minimizers of Jγ and their zero set to the minimizing pairs (u,E) of F.
Theorem 2.5. Let Ω be a bounded domain with Lipschitz boundary, γk→2−, and uk a sequence of functions with uniform bounded energies
‖uk‖L2(Ω)+Jγk(uk,Ω)≤M, |
for some M>0. Then, after passing to a subsequence, we can find (u,E)∈A(Ω) such that
u1−γk/2k→χEcin L1(Ω),uk→uin L2(Ω), |
and
χ{uk>0}→χEcin L1(Ω). |
Moreover, if uk are minimizers of Jγk then the limit (u,E) is a minimizer of F. The convergence of uk to u and respectively of the free boundaries ∂{uk>0} to ∂E is uniform on compact sets (in the Hausdorff distance sense).
As a consequence we obtain the connection between bounded minimizers of Eγ with γ→2 and minimal surfaces, as stated in the Introduction. The uniform boundedness of minimizers can be deduced for example from a uniform bound of the boundary data on ∂Ω.
Corollary 2.6. Assume that uk are uniformly bounded minimizers of Eγk defined in (1.2), and γk→2. Then, up to subsequences, F(uk) converge uniformly on compact sets to a minimal surface ∂E.
Indeed, c(γk)uk is a minimizer for Jγk and, since c(γk)→0, the limiting function u of Theorem 2.5 is identically 0. This means that the limiting set E must be a set of minimal perimeter in Ω.
The paper is organized as follows. In Section 3 we prove the uniform growth estimate Theorem 2.1 and in Section 4 we obtain the uniform density estimates. In the last section we prove the main result Theorem 2.5.
In this section we prove Theorem 2.1. We state it here again for the reader convenience. We remark that this statement was proved in [10] with a constant C depending on γ. The purpose of this section is to show that in fact the statement holds with a universal constant C. In the proof, we use that minimizers are viscosity solution in the sense of Definition 4.1 of [10], as showed in Proposition 4.4 of [10].
Theorem 3.1. Let u be a minimizer of Jγ in B1, and assume u(0)=0. Then
u(x)≤C|x|α,∀x∈B1/2, |
with C universal.
Proof. Minimizers of J are invariant under α-homogenous rescalings
˜u(x)=u(y0+λx)λα. |
After such a rescaling, we may assume that we are in the situation B1⊂{u>0} and u vanishes at some point x0∈∂B1. We need to prove that u(0) is bounded above by a large universal constant.
Notice that in B1 we satisfy
△u≤0,△(u−1)+≥−1. |
Thus, if
u(0)≥M≫1, |
then by the weak Harnack inequality we find
u≥cMinB1/2,with c>0 universal. |
Lemma 3.2. There exists a one dimensional increasing function ψ,
ψ:[0,t0]→R,ψ(0)=0,t0≤14, |
such that (see (2.4) for the definition of φ)
1)
ψ(t)=φ(t)+ϵt2−α+O(t2−α+δ)near 0,δ>0, |
2)
2ψ″≥4nψ′+W′(ψ), |
3)
ψ(t0)≤1,ψ′(t0)≤C0universal. |
Using Lemma 3.2 we construct a barrier Ψ:B1∖B1/2→R, as
Ψ(x)=ψ(1−|x|)inB1∖B1−t0 |
and
△Ψ=0in B1−t0∖B1/2, |
with boundary conditions
Ψ=cMon ∂B1/2,Ψ=ψ(t0)on ∂B1−t0. |
Since ψ(t0)≤1, it follows that
|∇Ψ|>C0 in the annulus B1−t0∖B1/2, |
provided that M is large universal.
We claim that
2△Ψ≥W′(Ψ),inB1∖B1/2. | (3.1) |
The inequality is satisfied in the outer annulus B1∖B1−t0 by property 2) above, and in the inner annulus B1−t0∖B1/2 since 0>W′.
Moreover, the inequalities between the normal derivatives on either side of ∂B1−t0 guarantee that (3.1) holds in the whole domain.
Since W′(t) is increasing for t>0, we can apply the maximum principle and conclude that
u≥ΨinB1∖B1/2. |
We contradict the free boundary condition at the point x0∈F(u) for a minimizer, see Proposition 4.4 in [10]. Indeed, property 1) above shows that Ψ−φ(d) has a positive correction term ϵd2−α in the expansion near its free boundary and therefore it is a strict viscosity subsolution on ∂B1, see Definition 4.1 in [10].
It remains to prove the lemma above.
Proof of Lemma 3.2. We reduce the second order ODE to a 1st order ODE by taking ψ as an independent variable. More precisely, with a strictly increasing function ψ we associate the function g>0 defined on the range of ψ as
g(ψ):=(ψ′)2. | (3.2) |
After differentiation we obtain
2ψ″=g′(ψ). |
The function ψ can be recovered from g by the formula
ψ(t)=G−1(t),G(r):=∫r01√g(s)ds. | (3.3) |
In the case when ψ coincides with the 1D solution φ given in (2.4), then the associated function g equals W, see (2.5).
In our setting we define g explicitly as
g(s):=W(s)+ˉϵ+C1s1−γ2,s∈(0,s0], |
with C1=8n universal, and s0 given by the solution to
C1s1−γ2=cγs−γ=W(s)whens=s0, |
and ˉϵ>0 arbitrarily small. Notice that s0→0 as γ→2−, and from the formula for cγ in (2.3) it follows
s0∼2−γ. | (3.4) |
Notice that
g(s0)≤3C1s1−γ20≤3C1=:C20. |
This gives property 3) since
ψ(t0)=s0,ψ′(t0)=(g(s0))1/2. |
By construction g≥W which by (3.3) implies ψ≥φ. Thus
s0=ψ(t0)≥φ(t0), |
and by (2.4), (3.4), it follows that also t0→0 as γ→2−.
We compute
g′=W′+C1(1−γ2)s−γ2 |
and use the inequality
C1(1−γ2)≥8n√cγ, |
and that g≤3W in the interval [0,s0] to obtain
g′≥W′+4n(3W)1/2≥W′+4ng1/2, |
which gives 2).
Finally, we obtain property 1) from (3.3) and the expansion
1√g(s)=1√W(s)(1−c(γ)ˉϵsγ+O(s1+γ2)). |
In this technical section we prove Theorem 2.2 and Corollary 2.3. We follow the classical ideas from the minimal surface theory by constructing appropriate competitors for the minimizer u, and then make use of the isoperimetric inequality. They allows us to obtain discrete differential inequalities for the measure of the sets {u>0} in Br, which give the desired conclusion after iteration.
We start with the lower bound.
Lemma 4.1. Let u be a minimizer of Jγ in B1 and assume 0∈F(u). Then
|{u>0}∩Br|≥c0|Br|. |
Proof. After a dilation, assume u minimizes J in B3. Since 0∈F(u),
u≤C0 inB2, |
by Theorem 2.1. Define
Ar:={u>0}∩Br,a(r):=|Ar|. |
It suffices to show that
a(1)≤c0⟹a(r)=0 for all r sufficiently small, |
which is not possible since 0∈F(u). We consider the case when γ is close to 2.
Define s0, t0, as
W(s0)=1,φ(t0)=s0⟹φ′(t0)=√W(s0)=1 | (4.1) |
and notice that s0,t0→0 as γ→2−.
Step 1: We show that the densities of the sets Ar in Br decay geometrically as we rescale by a factor of 1−2t0, i.e., if a(1)≤c0 then
r−n0a(r0)≤r0a(1)withr0:=1−2t0. | (4.2) |
First we construct a 1D function.
Lemma 4.2. There exists a piecewise C1 function ψ in [0,1] such that
1)
ψ(t)=φ(t)if t≤t0, |
2)
2ψ″+4nψ′≤W′(ψ)if t≥t0, |
3)
ψ(1)≥2C0,ψ′(t0)≤C1for some C1 large universal. |
Recall that ψ being piecewise C1 means that it is continuous in [0,1] and C1 when restricted to the intervals [0,t0] and [t0,1].
Proof. Indeed, we may take
ψ:=φ+Kg(t)χ{t≥t0} |
with g an increasing C2 function in [t0,1] such that
g(t0)=0,g″+2ng′≤−c in [t0,1], |
and K a sufficiently large universal constant. Properties 1), 3) follow immediately from the definition of ψ. For 2) we use that in [t0,1]
2φ″=W′(φ),φ′≤φ′(t0)=1, |
hence
2ψ″+4nψ′≤2φ″+4nφ′−2Kc≤W′(φ)+4n−2Kc≤W′(φ)≤W′(ψ), |
where in the last inequality we used that W′ is an increasing function.
Proof of Step 1. We use Lemma 4.2 to define
Ψ(x):=ψ(|x|−(1−t0)), |
and let
D:={u>Ψ}⊂B2−t0∩{u>0}. |
Notice that u=Ψ on ∂D, hence the minimality of J implies
J(u,D)≤J(Ψ,D). | (4.3) |
We decompose D as the disjoint union
D=D1∪D2,D1:=D∩B1,D2:=D∖B1, |
and notice that
J(Ψ,D2)−J(u,D2)==∫D2−2∇(u−Ψ)⋅∇Ψ−|∇(u−Ψ)|2+W(Ψ)−W(u)dx≤∫D2(u−Ψ)2△Ψ+W(Ψ)−W(u)dx+∫∂D22(u−Ψ)|∇Ψ|dσ≤∫D2(u−Ψ)W′(Ψ)+W(Ψ)−W(u)dx+∫∂D2∩∂B12(u−Ψ)|∇Ψ|dσ≤CHn−1({u>0}∩∂B1), | (4.4) |
where we have used that
0≤u−Ψ≤C,2△Ψ≤W′(Ψ),|∇Ψ|≤Con ∂B1, |
and that W is convex on its positivity set.
Combining (4.3) and (4.4) we find
J(u,D1)≤J(Ψ,D1)+CHn−1({u>0}∩∂B1). | (4.5) |
In D1 we use the Cauchy-Schwartz inequality and the coarea formula to obtain
J(u,D1)≥∫D1∩{u<φ(t0)}2|∇u|√W(u)dx=∫s00Hn−1({u=s}∩D1)2√W(s)ds. | (4.6) |
On the other hand |∇Ψ|=√W(Ψ) in D1 by construction (see 1) in Lemma 4.2 and (2.5) and the inequality above becomes an equality for Ψ:
J(Ψ,D1)=∫s00Hn−1({Ψ=s}∩D1)2√W(s)ds. | (4.7) |
Next we use that
{u>s}∩B1−2t0⊂D1∩{u>s>Ψ},s>0, |
and the isoperimetric inequality implies
cn|{u>s}∩B1−2t0|n−1n≤Hn−1({u=s}∩D1)+Hn−1({Ψ=s}∩D1), |
hence
∫s00cn|{u>s}∩B1−2t0|n−1n2√W(s)ds≤J(u,D1)+J(Ψ,D1). | (4.8) |
We combine this with (4.5), (4.7) and use that
∫B1−t0W(u)dx≤J(u,D1), | (4.9) |
and obtain
∫B1−2t0W(u)dx+∫s00cn|{u>s}∩B1−2t0|n−1n2√W(s)ds≤≤CHn−1({Ψ=s0}∩{u>0})++C∫s00Hn−1({Ψ=s}∩{u>0})2√W(s)ds. | (4.10) |
The inequality holds also when we replace Ψ by Ψt defined as
Ψt(x):=ψ(|x|−(1−t0−t)),t∈[0,t0]. |
Notice that Ψ0=Ψ and {Ψt=s} is the sphere at distance t from the sphere {Ψ=s}. Thus, if we write the inequality above for t∈[0,t0] and average it over this interval we obtain
∫B1−2t0W(u)dx+∫s00cn|{u>s}∩B1−2t0|n−1n2√W(s)ds≤ ≤Ct−10|{u>0}∩(B1∖B1−2t0)|∫s002√W(s)ds. | (4.11) |
Let s1∈[0,s0] and denote by
b:=|{0<u≤s1}∩B1−2t0|, |
hence if s≤s1 then
|{u>s}∩B1−2t0|≤|{u>s1}∩B1−2t0|=a(1−2t0)−b. |
Notice that by the choice of cγ we have
∫s102√W(s)ds=s1−γ21. |
Since W(u)≥W(s1) in the set {0<u≤s1}, we can bound below the left hand side in (4.11) by
W(s1)b+c1s1−γ21(a(1−2t0)−b)n−1n, | (4.12) |
while the right hand side in (4.11) is bounded above by
C2a(1)−a(1−2t0)2t0, |
with C2, c1 universal constants.
We choose s1 such that
W(s1)=C3≫C2,i.e., s1=C−1γ3s0=(cγ/C3)1γ. |
Using that cγ∼(2−γ)2 we find that the coefficient
c1s1−γ21 |
which appears in (4.12) remains bounded below as γ→2−. This means that if a(1−2t0)≤a(1)≤c0 small, universal, then the expression in (4.12) is decreasing in the variable b∈[0,a(1−2t0)] and is bounded below by C3a(1−2t0). In conclusion
C3a(1−2t0)≤C2a(1)−a(1−2t0)2t0, |
or equivalently,
a(1−2t0)(1+C3C22t0)≤a(1), |
which, using that C3≫C2 and t0 is sufficiently small, gives (4.2):
a(1−2t0)(1−2t0)−(n+1)≤a(1), |
and Step 1 is proved.
As we iterate Step 1 we find that the densities of the positivity set in Br, a(r)r−n, tend to 0 as r=rm0→0. After rescaling, it remains to show that if a(1) is sufficiently small, depending on γ, then a(1/2)=0.
Step 2: If a(1)≤c(γ) small then for all r∈[1/2,1],
a(r−2t)δ≤a(r)−a(r−2t)2t,t=a(r)μ, | (4.13) |
with δ, μ universal constants.
Proof of Step 2. Assume for simplicity that r=1. Notice that by Theorem 2.1 it follows that
u≤Ca(1)αnin B1. |
We argue as in Step 1 and improve the last part of the argument. Take
Ψ=ψ(|x|−(1−t1)) |
with t1∈(0,t0] such that
φ(t1)=a(1)μ≫‖u‖L∞(B1). |
This means that {u<Ψ} on ∂B1 and now we may take D={u>Ψ}∩B1. We obtain as above the corresponding inequality (4.10) with t0 replaced by t1. After averaging over the family of translates Ψt with t∈[0,t1] we establish the inequality (4.11) with t0 replaced by t1. We bound the left hand side as before by taking
s1=φ(t1)=a(1)μ, |
and obtain
W(s1)sγ2−11b+(a(1−2t1)−b)n−1n≤Ca(1)−a(1−2t1)2t1. |
Using that
s1=a(1)μ≥a(1−2t1)μ, |
the coefficient of b in the left hand side is bounded below by a negative power of a(1−2t1) (provided that a(1) is sufficiently small, depending on γ). Then, by arguing that
eitherb≤a(1−2t1)2 orb≥a(1−2t1)2, |
we obtain that the left hand side is bounded below by
a(1−2t1)1−δ, |
for some δ universal. After relabeling δ if necessary we reach the desired discrete differential inequality claimed in Step 2.
a(1−2s1)1−δ≤a(1)−a(1−2s1)2s1,s1=a(1)μ. |
End of the proof: Now it is straightforward to check that a nondecreasing function a(r) that satisfies (4.13) must vanish when r=1/2 if a(1) is sufficiently small. In the continuous setting we obtain a′≥a1−δ which implies
a(r)≤(r−1/2)M, |
for some large M, provided that the inequality is satisfied at r=1. In the discrete setting it follows by induction that the inequality above holds for r=rk where rk is the sequence
rk+1=rk−2a(rk)μ,r0=1. |
Remark 4.3 From (4.5) and (4.7) it follows that
J(u,B1/2)≤J(u,D1)≤C, |
with C universal.
Next we prove the other side of the density bound using a similar analysis.
Lemma 4.4. Let u be a minimizer of Jγ in B1 and assume 0∈F(u). Then
|{u=0}∩Br|≥c0|Br|. |
Proof. Let s0, s1, and t1 be defined as
W(s0)=1,W(s1)=M,φ(t1)=s1, |
with M a large universal constant to be made precise later. Let
Ar:={u≤s1}∩Br,a(r):=|Ar|. |
Step 1: We prove that if a(1)≤c0 universal, M≥C0 and γ sufficiently close to 2 (depending on M) then
a(r0)r−n0≤r0a(1)for some fixed r0<1. | (4.14) |
We first construct a 1D profile.
Lemma 4.5. There exists a nondecreasing Lipschitz function ψ:[0,1]→R, with ψ(0)=0, which is C1 in the intervals {ψ<s1}, {ψ>s1} such that
1) ψ=φ in [0,t1]={ψ≤s1},
2)
2ψ″−8nψ′≥W′(ψ)in(t1,1]={ψ>s1}, |
and ψ is constant in [1/4,1],
3)
12W(ψ)≤(ψ′)2≤W(ψ)in[0,t0]:={ψ≤s0}. |
Here t0 is defined such that
ψ(t0)=s0,thusW(ψ(t0))=1. |
Proof of Step 1. Define in ¯B1 the function
Ψ(x)=ψ(1−|x|), |
and denote by
D:={u<Ψ}. |
Notice that Ψ vanishes on ∂B1 and coincides with φ(1−|x|) near ∂B1, hence
|∇Ψ|=√W(Ψ)inB1∖B1−t1={Ψ≤s1}. | (4.15) |
Also by 2)
2△Ψ≥W′(Ψ)in{Ψ>s1}, |
and 3) implies
12W(Ψ)≤|∇Ψ|2≤W(Ψ)inB1∖B1−t0, | (4.16) |
and
W(Ψ)≤1inB1−t0. | (4.17) |
Denote by
D1:={u>s1}∩D,D2:=D∖D1, |
F1:={Ψ>s1}∩D,F2:=D∖F1. |
Then J(u,D)≤J(Ψ,D) implies
J(u,D2)≤J(Ψ,F2)+J(Ψ,F1)−J(u,D1). |
In
F1=D1∪A1−t1 |
we write
max{u,σ}=Ψ−w, with Ψ≥w≥0, |
and notice that w vanishes on ∂F1 hence
∫D1|∇u|2=∫F1|∇(Ψ−w)|2dx≥∫F1|∇Ψ|2+2w△Ψdx≥∫F1|∇Ψ|2+wW′(Ψ)dx≥∫F1|∇Ψ|2+(W(Ψ)−W(Ψ−w))χD1−CW(Ψ)χA1−t1dx, | (4.18) |
where in the last inequality we used the convexity of W in D1 and the fact that W′(Ψ)<0 in A1−t1 thus
wW′(Ψ)≥ΨW′(Ψ)=−γW(Ψ). |
Since Ψ−w=u in D1 we find
J(u,D1)≥J(Ψ,F1)−C∫A1−t1W(Ψ)dx, |
hence
J(u,D2)≤J(Ψ,F2)+C∫A1W(Ψ)dx. |
By Cauchy-Schwartz and co-area formula we obtain
J(u,D2)≥∫s10Hn−1({u=s}∩D}√W(s)ds, |
while, by (4.15),
J(Ψ,F2)=∫s10Hn−1({Ψ=s}∩D}√W(s)ds. |
Hence
J(Ψ,F2)≤∫s10Hn−1({Ψ=s}∩A1}√W(s)ds, |
and we also write
∫A1W(Ψ)dx=∫A1∩B1−t0W(Ψ)dx+∫A1∖B1−t0W(Ψ)dx. |
By (4.17) the second term is bounded by |A1|, while by (4.16) and the co-area formula as above, the first integral is bounded by
C∫s00Hn−1({Ψ=s}∩A1}√W(s)ds. |
Using that
E:={u=0}∩B1−t1⊂{u≤s≤Ψ},s∈[0,s1], |
we find by the isoperimetric inequality that
|E|n−1n∫s10√W(s)ds≤J(u,D2)+J(Ψ,F2). |
Notice that as γ→2 (and fixed M), the integral converges to
∫10√W(s)ds=12. |
Also
W(s1)|A1−t1∖E|≤∫A1−t1W(u)dx≤J(u,D2) |
In conclusion
14|E|n−1n+M|A1−t1∖E|≤≤C∫s00Hn−1({Ψ=s}∩A1}√W(s)ds+C|A1|. | (4.19) |
Since |E|≤a(1)≤c0 is sufficiently small, and M≥C0, the left hand side is bounded below by
C02|A1−t1|≥C02a(1−2t0). |
We average the right hand side by taking as test functions
Ψt(x)=ψ(1−t−|x|),t∈[0,t0], |
and obtain
C02a(1−2t0)≤Ca(1)−a(1−2t0)2t0+Ca(1) |
which, as in the proof of Lemma 4.2, implies the desired conclusion (4.14) with r0=1−2t0,
a(1−2t0)(1−2t0)−(n+1)≤a(1), |
provided C0 is chosen sufficiently large.
Next we prove the lemma when γ is close to 2.
Step 2: If γ is sufficiently close to 2 then |{u=0}∩B1|≥c0/2.
Proof of Step 2. If the conclusion does not hold then
|{u=0}∩B1|≤c0/2⟹a(1)≤c0. | (4.20) |
Indeed, otherwise
|{0<u≤s1}∩B1|≥c0/2, |
and we can apply inequality (4.19) (with A1−t1, A1 replaced by A1, respectively A1+t1) and obtain
Mc02≤C∫s00Hn−1({Ψ=s}∩A1+t1}√W(s)ds+C|A1+t1|≤C. |
We get a contradiction by choosing M universal, sufficiently large, and (4.20) is proved. Now we may apply Step 1 and obtain
|{u≤rα0s1}∩Br0|r−n0≤a(r0)r−n0≤r0a(1), |
with α as in (2.4), which can be rescaled and iterated indefinitely. Thus, after a rescaling of u of factor rm0 with m large we find that a(1) can be made arbitrarily small.
We reached a contradiction to 0∈F(u) since, by Theorem 2.1,
a(1)≥c(s1)>0. |
Finally, we prove the conclusion also when γ stays away from 2.
Step 3: If γ≤2−δ then |{u=0}∩B1|≥c(δ).
Proof of Step 3. This follows easily by compactness. However, here we sketch a direct proof that follows from an argument in Step 1.
First we claim that
max∂B1u≥c(δ), |
for some c(δ)>0 small. Otherwise, the energy of u in B1/2 is sufficiently small, which implies that {u>0} has small measure in B1/2 and contradicts Lemma 4.1.
Next, let v be the solution to the Euler-Lagrange equation 2△Ψ=W′(Ψ) in B1, v=u on ∂B1. Since v is superharmonic, v(0)>c(δ). Moreover, W(v) is bounded by an integrable function in B1. As in Step 1, the inequality
J(u,B1)≤J(v,B1) |
implies (see (4.18) with s1=0, D1=F1=B1),
∫B1|∇(v−u)|2dx≤C∫{u=0}W(v)dx. |
The left hand side is bounded below by a c1(δ) which follows from Theorem 2.1 and (v−u)(0)=v(0)≥c(δ). This shows that {u=0} cannot have arbitrarily small measure.
It remains to prove the existence of the 1D profile of Lemma 4.5.
Proof of Lemma 4.5. We construct ψ by defining its corresponding function g as in (3.2), (3.3). Let g be the perturbation of W
g(s)=W(s)+(−12+Cn(s1−γ2−s1−γ21))χ[s1,1], |
with Cn=8n. Let s2 be defined as
W(s2)=14, |
hence s2=41/γs0∼s0, and notice that s2→0 as γ→2. Moreover
W′=−γW/s≤−C in[0,s2] |
which implies that g′≤−C in the same interval. Furthermorer, for γ sufficiently close to 2 (depending on M), then s1−γ/21 is close to 1 hence the error g(s)−W(s) is uniformly close to the constant −1/2 in the interval [s1,1].
These facts imply that g≤W, and g crosses 0 at some point σ∈[s0,s2], and
g≥12Win[s1,s0], |
which gives property 3). Property 1) follows directly from the definition. Finally, property 2) holds since in (s1,1]∩{g>0}
g′−W′=Cn(1−γ2)s−γ/2≥8n√W≥8n√g. |
Moreover,
∫{g>0}(2g)−1/2ds=∫σ0(2g)−1/2ds≤∫s00W−1/2ds+C∫σs0s1/20(σ−s)−1/2ds≤21/2t0+Cs0≤1/4 |
which shows that ψ is constant outside an interval of length 1/4.
We conclude this section with a proof of Corollary 2.3.
Proof of Corollary 2.3. Assume that u is a minimizer of J in B2 and 0∈F(u). First we prove that
c≤J(u,B1)≤C, | (4.21) |
with c, C universal constants.
The upper bound follows from Remark 4.3. For the lower bound, we use that
(1−c0)|B1|≥|{u>0}∩B1|≥c0|B1|. |
Let s0 be defined as in the proof of Lemma 4.1, see (4.1). If
|{u>s0}∩B1|≤c02|B1|, | (4.22) |
then
|{0<u≤s0}∩B1|≥c02|B1|. |
In this last set W(u)≥W(s0)=1, and the lower bound is obtained from the potential term.
On the other hand, if the opposite inequality in (4.22) holds, then for all s∈(0,s0) the density of {u>s} in B1 is bounded both above and below by universal constants. Now the lower bound follows from (4.6) and the Poincaré inequality for χ{u>s} in B1.
The existence of a full ball of radius c′ included in {u>0}∩B1 (or {u=0}∩B1) follows by a standard covering argument. We sketch it below.
We take a collection of m disjoint balls Bρ(xi), xi∈{u>0}∩B1 such that ∪B5ρ(xi) covers {u>0}∩B1. It follows that m∼ρ−n. If we assume that each Bρ/2(xi) intersects the free boundary then, by the rescaled version of (4.21),
J(u,Bρ(xi))≥cρn−αγ, |
with α as in (2.4). We obtain
J(u,B1)≥mcρn−αγ, |
and we contradict the upper bound if ρ is chosen small, universal.
In this section we prove our main result Theorem 2.5. We start by constructing an interpolation between two functions which are close to each other in a ring.
Proposition 5.1. Let uk,vk be sequences in H1(B1) and γk→2−. Assume that for some ρ∈(12,1) and δ>0 small,
Jγk(uk,Bρ+δ),Jγk(vk,Bρ+δ) |
are uniformly bounded, and
‖uk−vk‖L2+‖u1−γk2k−v1−γk2k‖L1→0inBρ+δ∖ˉBρ,as k→∞. |
Then, there exists wk∈H1(B1) with
wk:={vkin Bρukin B1∖ˉBρ+δ |
such that
Jγk(wk,B1)≤Jγk(vk,Bρ+δ)+Jγk(uk,B1∖ˉBρ)+o(1), |
with o(1)→0 as k→∞.
Proof. Fix ϵ>0 small. We prove the conclusion with o(1) replaced by Cϵ for some C universal. Since the energies of uk and vk are uniformly bounded, we can decompose the annulus Bρ+δ∖Bρ into a disjoint union of ∼ϵ−1 annuli, and after relabeling ρ and δ we may assume that
Jγk(uk,Bρ+δ∖Bρ)≤ϵ,Jγk(vk,Bρ+δ∖Bρ)≤ϵ. |
For simplicity of notation we drop the subindex k.
First we prove the result under the additional assumption
u≥v in Bρ+δ∖Bρ. | (5.1) |
Denote by
ψr(x)=φ(|x|−r),r∈[ρ,ρ+δ4], |
and let
Ψr=min{u,max{ψr,v}}. |
Notice that
u≥Ψr≥vin B1, andΨr=vin Bρ. |
Let
Dr:={u>Ψr>v}∩Bρ+δ, |
then, by the property (2.5) of the one-dimensional solution φ, we find
J(Ψr,Dr)=J(ψr,Dr)=∫10Hn−1({Ψr=s}∩Dr)2√W(s)ds. | (5.2) |
Notice that
{Ψr=s}∩Dr={u>s>v}∩∂Br+φ−1(s)∩Bρ+δ. |
Thus, we average (5.2) for r∈[ρ,ρ+δ/4], and obtain
−∫ρ+δ/4ρJ(Ψr,Dr)dr≤Cδ∫10Hn(({u>s>v})∩(Bρ+δ∖Bρ))2√W(s)ds. | (5.3) |
We use (2.3) and the change of coordinates
s1−γ/2=σ and obtain2√W(s)ds=dσ. |
The right hand side in (5.3) equals
Cδ∫10Hn({u1−γ/2>σ>v1−γ/2}∩(Bρ+δ∖Bρ))dσ≤Cδ‖u1−γ/2−v1−γ/2‖L1(Bρ+δ∖Bρ). |
Thus, for all k sufficiently large, we can find an r=rk∈[ρ,ρ+δ/4], such that
J(Ψr,Dr)≤ϵ. |
Since in the annulus Bρ+δ∖Bρ the function Ψr coincides with u or v outside Dr we find
J(Ψr,Bρ+δ∖Bρ)≤3ϵ. | (5.4) |
Finally we define
w=ηΨr+(1−η)u, |
with η∈C∞0(Bρ+δ) a cutoff function with η=1 in Bρ+δ/2. Clearly, w=u outside Bρ+δ and w=Ψr in Bρ+δ/2, hence w=v in Bρ. Moreover,
u≥w≥Ψr>0⟹W(w)≤W(Ψr)in Bρ+δ∖Bρ+δ/2. |
Since
|∇w|2≤3(|∇Ψr|2+|∇u|2+|∇η|2(u−Ψr)2), |
we find
J(w,Bρ+δ∖Bρ)≤3(J(Ψr,Bρ+δ∖Bρ)+J(u,Bρ+δ∖Bρ)+C(δ)‖Ψr−u‖2L2). |
Using that,
|u−Ψr|≤|u−v|, |
we obtain
C(δ)‖Ψr−u‖2L2→0as k→∞. |
We find
J(w,Bρ+δ∖Bρ)≤15ϵ, |
for all large k, which gives the desired conclusion under the assumption (5.1).
The general case follows easily from the interpolation procedure between the two ordered functions described above. We apply it two times, first in the annulus Bρ+δ∖Bρ+δ/2 where we interpolate between u and min{u,v} and then in the annulus Bρ+δ/2∖Bρ where we interpolate between min{u,v} and v.
We recall now the functional F introduced in Section 2, which is defined on the space of pairs (u,E)∈A(Ω)
A(Ω):={(u,E)|u∈H1(Ω),E Caccioppoli set, u≥0 in Ω,u=0 a.e. in E}, |
given by the Dirichlet - perimeter energy
FΩ(u,E)=∫Ω|∇u|2dx+PΩ(E). |
Here PΩ(E) represents the perimeter of E in Ω
PΩ(E)=[∇χE]BV(Ω)=∫Ω|∇χE|. |
In the next two lemmas we establish the Γ-convergence of the Jγ to F.
Lemma 5.2 (Lower semicontinuity). Let γk→2− and uk satisfy
u1−γk/2k→χEcin L1(Ω),uk→uin L2(Ω). |
Then
lim infJγk(uk,Ω)≥FΩ(u,E). |
Proof. After passing to a subsequence we may assume that the two convergences above hold pointwise a.e. in Ω. This implies that {u>0}∖Ec is a set of measure zero, hence u=0 a.e. on E, and (u,E) is an admissible pair.
We write
Jγk(uk,Ω)=Jγk(uk,Ω∩{uk≤ϵ})+Jγk(uk,Ω∩{uk>ϵ}). |
By the coarea formula and the definition of W (see (2.1))
Jγk(uk,Ω∩{uk≤ϵ})≥∫{uk≤ϵ}|∇uk|2√W(uk)dx=∫{uk≤ϵ}|∇u1−γk/2k|dx=∫Ω|∇¯u1−γk/2k|dx,with¯uk:=min{uk,ϵ}. | (5.5) |
Moreover, ¯u1−γk/2k converges in L1 to χE, hence
lim infJγk(uk,Ω∩{uk≤ϵ})≥∫Ω|∇χE|dx, |
by the lower semicontinuity of the BV norm. On the other hand
Jγk(uk,Ω∩{uk>ϵ})≥∫Ω|∇(uk−ϵ)+|2dx, |
and since (uk−ϵ)+→(u−ϵ)+ in L2, we obtain
lim infJγk(uk,Ω∩{uk>ϵ})≥∫Ω|∇(u−ϵ)+|2dx. |
By adding the inequalities we find
lim infJγk(uk,Ω)≥∫Ω|∇(u−ϵ)+|2dx+PΩ(E), |
and the conclusion is proved by letting ϵ→0.
Lemma 5.3. Let (u,E)∈A(Ω) with u a continuous function in a Lipschitz domain ¯Ω. Then, given a sequence γk→2− we can construct a sequence uk such that
u1−γk/2k→χEcin L1(Ω),uk→uin L2(Ω), |
Jγk(uk,Ω)→FΩ(u,E). |
In view of the lower semicontinuity property in Ω∖¯D, where D⊂Ω is a subdomain, we obtain that
∫¯D|∇u|2dx+∫¯D|∇χE|≥lim supJγk(uk,D). |
Proof. For the convergence of the energies it suffices to show that
lim supJγk(uk,Ω)≤FΩ(u,E). |
Fix ϵ>0 small. First we approximate E in Ω by a smooth set F⊂Rn which is included in the open set {u<ϵ} in Ω (which contains a neighborhood of E). Precisely, (see Lemma 1 of Modica [12]), there exists a smooth set F⊂Rn which approximates E in Ω in the sense that
F∩Ω⊂{u<ϵ},‖χF∩Ω−χE‖L1≤ϵ,PΩ(F)≤PΩ(E)+ϵ,Hn−1(∂F∩∂Ω)=0. | (5.6) |
In view of this, it suffices to prove the lemma with E replaced by ˜E:=F and u replaced by ˜u:=(u−2ϵ)+ which is an approximation of u in H1(Ω). Notice that by construction ˜u vanishes in a δ-neighborhood of ˜E for some small δ. We define uk in B1 as
uk:=max{φk(d),˜u}, |
where d represents the distance in Rn to ˜E. Next we check that uk satisfies the desired conclusions.
Clearly uk=0 on ˜E, and using that
C≥uk≥φk(d) onΩ∖˜E, |
and 1−γk/2→0+ we have
u1−γk/2k→1inΩ∖˜E, |
hence
u1−γk/2k→χ˜Ein L1(Ω). |
Here we used that φk(d)=c∗γdα, with c∗γ defined in (2.4), and we have
(c∗γ)1−γ/2→1as γ→2. |
Since φk(d) converges uniformly to 0 as k→∞ we also obtain
uk→˜uinL2(Ω). |
Using property (2.5) we obtain that
J(φ(d),{a<d<b}∩Ω)=∫φ(b)φ(a)Hn−1({φ(d)=s}∩Ω)2√W(s)ds |
=∫baHn−1({d=t}∩Ω)ωγ(t)dt, |
with
ωγ(t):=2√W(φ(t))φ′(t). |
Notice that
ωγ(t)dt=φ′(t)2+W(φ(t))dt, |
represents the measure of the one-dimensional solution which, as k→∞, converges weakly in any bounded interval [−a,a] to the Dirac delta measure at 0. On the other hand (5.6) implies that
Hn−1({φ(d)=t}∩Ω)→PΩ(˜E∩Ω)as t→0. |
In conclusion, we find that as k→∞
J(φ(d),{0<d<δ}∩Ω)→PΩ(˜E∩Ω) |
and
J(φ(d),{d>δ}∩Ω)→0. |
Using that
uk=φ(d)if d<δ, |
and
uk≥φ(d)⟹W(uk)≤W(φ(d))if d>δ, |
we find
lim supJ(uk,Ω)≤PΩ(˜E∩Ω)+∫Ω|∇˜u|2dx. |
We are finally ready to prove our main theorem.
Proof of Theorem 2.5. The L2 convergence follows from the uniform bound of the uk in H1(Ω).
By the coarea formula (see (5.5)) we find that
[u1−γk/2k]BV(Ω)≤M |
and using the inequality
u1−γk/2k≤1+u2k |
we find that u1−γk/2k are uniformly bounded in BV(Ω). Thus, after passing to a subsequence, we have
u1−γk/2k→gin L1(Ω), | (5.7) |
for some non-negative g∈BV(Ω). We claim that
g=χEc for some set E. | (5.8) |
First we show that for all δ>0 small
{δ≤g≤1−δ}has measure zero. |
Otherwise, for all large k, the set
{δ/2≤u1−γk/2k≤1−δ/2} |
has measure bounded below by a fixed positive constant. On this set
W(uk)≥W((1−δ/2)22−γk)=cγk(1−δ/2)−2γk2−γk→∞, | (5.9) |
as k→∞ and we contradict the uniform upper bound for the energy of uk in Ω.
Similarly we find that the set
{g≥1+δ}has measure zero. |
Indeed, otherwise
{u1−γk/2k≥1+δ/2} |
has measure bounded below by a fixed positive constant. Then we contradict the uniform upper bound for the L2 norm of uk since on the set above
u2k≥(1+δ/2)42−γk→∞ |
as k→∞, and the claim (5.8) is proved.
The argument above implies also that
χ{uk>0}→χEcin L1(Ω). | (5.10) |
For example if
|{uk>0}∖Ec|≥μ>0 |
for some positive constant μ independent of k, then (5.7) and (5.8) imply
|{0<u1−γk/2k≤12}|≥μ/2, |
and we get a contradiction as in (5.9). Also
|Ec∖{uk>0}|=|Ec∩{uk=0}|→0, |
as k→∞, follows from the convergence (5.7) and (5.8).
Next we assume that uk are minimizers for Jγk and prove the minimality of (u,E) for F. The argument is standard and follows from Proposition 5.1. We sketch it for completeness.
For simplicity let Ω=B1. Since the functions uk are uniformly Hölder continuous on compact sets of B1 we find that the limiting function u is Hölder continuous in B1 and the convergence uk→u is uniform on compact subsets.
Let (v,F) be an admissible pair which coincides with (u,E) near ∂B1 and let
R:=Bρ+δ∖Bρ, |
be an annulus near ∂B1 where the two pairs coincide.
Denote by vk be the functions constructed in Lemma 5.3 corresponding to the pair (v,F) in Bρ+δ. Since uk and vk satisfy the hypotheses of Proposition 5.1 we can construct wk as the interpolation between uk and vk. By the minimality of uk in B1 and the conclusion of Proposition 5.1 we have
J(uk,B1)≤J(wk,B1)≤J(uk,B1∖Bρ)+J(vk,Bρ+δ)+o(1). |
This gives
J(uk,Bρ)≤J(vk,Bρ+δ)+o(1), |
and by taking k→∞, we find from Lemmas 5.2 and 5.3
FBρ(u,E)≤FBρ+δ(v,F). |
We let ρ→1 and obtain the desired conclusion
FB1(u,E)≤FB1(v,F). |
Finally, the uniform convergence of the free boundaries follows from the uniform density estimates and the L1 convergence (5.10).
Daniela De Silva is supported by NSF Grant DMS 1937254. Ovidiu Savin is supported by NSF Grant DMS 2055617.
The authors declare no conflict of interest.
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