Research article Special Issues

Uniform density estimates and Γ-convergence for the Alt-Phillips functional of negative powers

  • We obtain density estimates for the free boundaries of minimizers u0 of the Alt-Phillips functional involving negative power potentials

    Ω(|u|2+uγχ{u>0})dx,γ(0,2).

    These estimates remain uniform as the parameter γ2. As a consequence we establish the uniform convergence of the corresponding free boundaries to a minimal surface as γ2. 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

    Related Papers:

    [1] Pier Domenico Lamberti, Michele Zaccaron . Spectral stability of the curlcurl operator via uniform Gaffney inequalities on perturbed electromagnetic cavities. Mathematics in Engineering, 2023, 5(1): 1-31. doi: 10.3934/mine.2023018
    [2] Matteo Novaga, Marco Pozzetta . Connected surfaces with boundary minimizing the Willmore energy. Mathematics in Engineering, 2020, 2(3): 527-556. doi: 10.3934/mine.2020024
    [3] Petteri Harjulehto, Peter Hästö, Jonne Juusti . Bloch estimates in non-doubling generalized Orlicz spaces. Mathematics in Engineering, 2023, 5(3): 1-21. doi: 10.3934/mine.2023052
    [4] Claudio Canuto, Davide Fassino . Higher-order adaptive virtual element methods with contraction properties. Mathematics in Engineering, 2023, 5(6): 1-33. doi: 10.3934/mine.2023101
    [5] Qiang Guang, Qi-Rui Li, Xu-Jia Wang . Flow by Gauss curvature to the $ L_p $ dual Minkowski problem. Mathematics in Engineering, 2023, 5(3): 1-19. doi: 10.3934/mine.2023049
    [6] Hugo Tavares, Alessandro Zilio . Regularity of all minimizers of a class of spectral partition problems. Mathematics in Engineering, 2021, 3(1): 1-31. doi: 10.3934/mine.2021002
    [7] Yu Chen, Jin Cheng, Giuseppe Floridia, Youichiro Wada, Masahiro Yamamoto . Conditional stability for an inverse source problem and an application to the estimation of air dose rate of radioactive substances by drone data. Mathematics in Engineering, 2020, 2(1): 26-33. doi: 10.3934/mine.2020002
    [8] Andrea Manzoni, Alfio Quarteroni, Sandro Salsa . A saddle point approach to an optimal boundary control problem for steady Navier-Stokes equations. Mathematics in Engineering, 2019, 1(2): 252-280. doi: 10.3934/mine.2019.2.252
    [9] Antonio Iannizzotto, Giovanni Porru . Optimization problems in rearrangement classes for fractional $ p $-Laplacian equations. Mathematics in Engineering, 2025, 7(1): 13-34. doi: 10.3934/mine.2025002
    [10] Annalisa Cesaroni, Matteo Novaga . Second-order asymptotics of the fractional perimeter as s → 1. Mathematics in Engineering, 2020, 2(3): 512-526. doi: 10.3934/mine.2020023
  • We obtain density estimates for the free boundaries of minimizers u0 of the Alt-Phillips functional involving negative power potentials

    Ω(|u|2+uγχ{u>0})dx,γ(0,2).

    These estimates remain uniform as the parameter γ2. As a consequence we establish the uniform convergence of the corresponding free boundaries to a minimal surface as γ2. 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)=(1t2)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)χEχEcin L1loc,as ϵ0, (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)=tγχ{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 u0 of the Alt-Phillips functional involving negative power potentials

    Eγ(u):=Ω(|u|2+uγχ{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(d2α),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 nk(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 γ2.

    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 γk2, 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 s1. 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 γ2. 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 γ2.

    Let Ω be a bounded domain in Rn with Lipschitz boundary. We consider Jγ, a rescaling of Eγ, which acts on functions

    u:ΩR,uH1(Ω),u0,

    and it is defined as

    Jγ(u,Ω):=Ω|u|2+Wγ(u)dx, (2.1)

    where

    Wγ(u):=cγuγχ{u>0},withcγ:=116(2γ)2,γ(0,2). (2.2)

    We study uniform properties of the minimizers of Jγ as γ2. 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 γ2.

    The constant cγ in (2.2) is chosen such that

    102Wγ(s)ds=1. (2.3)

    The homogenous 1D solution φ plays an important role in the analysis. It is given by

    φ(t):=cγ(t+)α, (2.4)

    with

    α:=22+γ,cγ:=((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=Wγ(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,xB1/2.

    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 0F(u) then

    1c0|{u>0}Br||Br|c0,r12.

    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 0F(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

    crnαγJ(u,Br)Crnαγ.

    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 u0 and measurable sets EΩ which have the property that u=0 a.e. on E,

    A(Ω):={(u,E)|uH1(Ω),E Caccioppoli set, u0 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|=supΩχEdivgdxwithgC0(Ω),|g|1.

    The next theorem establishes the Γ-convergence of the Jγ's.

    Theorem 2.4. As γ2, the functionals Jγ Γ-converge to F.

    More precisely we have:

    a) (lower semicontinuity) if γk2 and uk satisfy

    u1γk/2kχEcin L1(Ω),ukuin 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 γk2 and uk such that

    u1γk/2kχEcin L1(Ω),ukuin 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, γk2, and uk a sequence of functions with uniform bounded energies

    ukL2(Ω)+Jγk(uk,Ω)M,

    for some M>0. Then, after passing to a subsequence, we can find (u,E)A(Ω) such that

    u1γk/2kχEcin L1(Ω),ukuin 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 γ2 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 γk2. 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,xB1/2,

    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 x0B1. We need to prove that u(0) is bounded above by a large universal constant.

    Notice that in B1 we satisfy

    u0,(u1)+1.

    Thus, if

    u(0)M1,

    then by the weak Harnack inequality we find

    ucMinB1/2,with c>0 universal.

    Lemma 3.2. There exists a one dimensional increasing function ψ,

    ψ:[0,t0]R,ψ(0)=0,t014,

    such that (see (2.4) for the definition of φ)

    1)

    ψ(t)=φ(t)+ϵt2α+O(t2α+δ)near 0,δ>0,

    2)

    2ψ4nψ+W(ψ),

    3)

    ψ(t0)1,ψ(t0)C0universal.

    Using Lemma 3.2 we construct a barrier Ψ:B1B1/2R, as

    Ψ(x)=ψ(1|x|)inB1B1t0

    and

    Ψ=0in B1t0B1/2,

    with boundary conditions

    Ψ=cMon B1/2,Ψ=ψ(t0)on B1t0.

    Since ψ(t0)1, it follows that

    |Ψ|>C0 in the annulus B1t0B1/2,

    provided that M is large universal.

    We claim that

    2ΨW(Ψ),inB1B1/2. (3.1)

    The inequality is satisfied in the outer annulus B1B1t0 by property 2) above, and in the inner annulus B1t0B1/2 since 0>W.

    Moreover, the inequalities between the normal derivatives on either side of B1t0 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

    uΨinB1B1/2.

    We contradict the free boundary condition at the point x0F(u) for a minimizer, see Proposition 4.4 in [10]. Indeed, property 1) above shows that Ψφ(d) has a positive correction term ϵd2α 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)=G1(t),G(r):=r01g(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+C1s1γ2,s(0,s0],

    with C1=8n universal, and s0 given by the solution to

    C1s1γ2=cγsγ=W(s)whens=s0,

    and ˉϵ>0 arbitrarily small. Notice that s00 as γ2, and from the formula for cγ in (2.3) it follows

    s02γ. (3.4)

    Notice that

    g(s0)3C1s1γ203C1=:C20.

    This gives property 3) since

    ψ(t0)=s0,ψ(t0)=(g(s0))1/2.

    By construction gW which by (3.3) implies ψφ. Thus

    s0=ψ(t0)φ(t0),

    and by (2.4), (3.4), it follows that also t00 as γ2.

    We compute

    g=W+C1(1γ2)sγ2

    and use the inequality

    C1(1γ2)8ncγ,

    and that g3W in the interval [0,s0] to obtain

    gW+4n(3W)1/2W+4ng1/2,

    which gives 2).

    Finally, we obtain property 1) from (3.3) and the expansion

    1g(s)=1W(s)(1c(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 0F(u). Then

    |{u>0}Br|c0|Br|.

    Proof. After a dilation, assume u minimizes J in B3. Since 0F(u),

    uC0 inB2,

    by Theorem 2.1. Define

    Ar:={u>0}Br,a(r):=|Ar|.

    It suffices to show that

    a(1)c0a(r)=0 for all r sufficiently small, 

    which is not possible since 0F(u). We consider the case when γ is close to 2.

    Define s0, t0, as

    W(s0)=1,φ(t0)=s0φ(t0)=W(s0)=1 (4.1)

    and notice that s0,t00 as γ2.

    Step 1: We show that the densities of the sets Ar in Br decay geometrically as we rescale by a factor of 12t0, i.e., if a(1)c0 then

    rn0a(r0)r0a(1)withr0:=12t0. (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 tt0,

    2)

    2ψ+4nψW(ψ)if tt0,

    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{tt0}

    with g an increasing C2 function in [t0,1] such that

    g(t0)=0,g+2ngc 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),φφ(t0)=1,

    hence

    2ψ+4nψ2φ+4nφ2KcW(φ)+4n2KcW(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|(1t0)),

    and let

    D:={u>Ψ}B2t0{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=D1D2,D1:=DB1,D2:=DB1,

    and notice that

    J(Ψ,D2)J(u,D2)==D22(uΨ)Ψ|(uΨ)|2+W(Ψ)W(u)dxD2(uΨ)2Ψ+W(Ψ)W(u)dx+D22(uΨ)|Ψ|dσD2(uΨ)W(Ψ)+W(Ψ)W(u)dx+D2B12(uΨ)|Ψ|dσCHn1({u>0}B1), (4.4)

    where we have used that

    0uΨC,2ΨW(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)+CHn1({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=s00Hn1({u=s}D1)2W(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)=s00Hn1({Ψ=s}D1)2W(s)ds. (4.7)

    Next we use that

    {u>s}B12t0D1{u>s>Ψ},s>0,

    and the isoperimetric inequality implies

    cn|{u>s}B12t0|n1nHn1({u=s}D1)+Hn1({Ψ=s}D1),

    hence

    s00cn|{u>s}B12t0|n1n2W(s)dsJ(u,D1)+J(Ψ,D1). (4.8)

    We combine this with (4.5), (4.7) and use that

    B1t0W(u)dxJ(u,D1), (4.9)

    and obtain

    B12t0W(u)dx+s00cn|{u>s}B12t0|n1n2W(s)dsCHn1({Ψ=s0}{u>0})++Cs00Hn1({Ψ=s}{u>0})2W(s)ds. (4.10)

    The inequality holds also when we replace Ψ by Ψt defined as

    Ψt(x):=ψ(|x|(1t0t)),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

    B12t0W(u)dx+s00cn|{u>s}B12t0|n1n2W(s)ds     Ct10|{u>0}(B1B12t0)|s002W(s)ds. (4.11)

    Let s1[0,s0] and denote by

    b:=|{0<us1}B12t0|,

    hence if ss1 then

    |{u>s}B12t0||{u>s1}B12t0|=a(12t0)b.

    Notice that by the choice of cγ we have

    s102W(s)ds=s1γ21.

    Since W(u)W(s1) in the set {0<us1}, we can bound below the left hand side in (4.11) by

    W(s1)b+c1s1γ21(a(12t0)b)n1n, (4.12)

    while the right hand side in (4.11) is bounded above by

    C2a(1)a(12t0)2t0,

    with C2, c1 universal constants.

    We choose s1 such that

    W(s1)=C3C2,i.e., s1=C1γ3s0=(cγ/C3)1γ.

    Using that cγ(2γ)2 we find that the coefficient

    c1s1γ21

    which appears in (4.12) remains bounded below as γ2. This means that if a(12t0)a(1)c0 small, universal, then the expression in (4.12) is decreasing in the variable b[0,a(12t0)] and is bounded below by C3a(12t0). In conclusion

    C3a(12t0)C2a(1)a(12t0)2t0,

    or equivalently,

    a(12t0)(1+C3C22t0)a(1),

    which, using that C3C2 and t0 is sufficiently small, gives (4.2):

    a(12t0)(12t0)(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)rn, tend to 0 as r=rm00. 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(r2t)δa(r)a(r2t)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

    uCa(1)αnin B1.

    We argue as in Step 1 and improve the last part of the argument. Take

    Ψ=ψ(|x|(1t1))

    with t1(0,t0] such that

    φ(t1)=a(1)μuL(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)sγ211b+(a(12t1)b)n1nCa(1)a(12t1)2t1.

    Using that

    s1=a(1)μa(12t1)μ,

    the coefficient of b in the left hand side is bounded below by a negative power of a(12t1) (provided that a(1) is sufficiently small, depending on γ). Then, by arguing that

    eitherba(12t1)2 orba(12t1)2,

    we obtain that the left hand side is bounded below by

    a(12t1)1δ,

    for some δ universal. After relabeling δ if necessary we reach the desired discrete differential inequality claimed in Step 2.

    a(12s1)1δa(1)a(12s1)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 aa1δ which implies

    a(r)(r1/2)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=rk2a(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 0F(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:={us1}Br,a(r):=|Ar|.

    Step 1: We prove that if a(1)c0 universal, MC0 and γ sufficiently close to 2 (depending on M) then

    a(r0)rn0r0a(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]={ψs1},

    2)

    2ψ8nψW(ψ)in(t1,1]={ψ>s1},

    and ψ is constant in [1/4,1],

    3)

    12W(ψ)(ψ)2W(ψ)in[0,t0]:={ψs0}.

    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)inB1B1t1={Ψs1}. (4.15)

    Also by 2)

    2ΨW(Ψ)in{Ψ>s1},

    and 3) implies

    12W(Ψ)|Ψ|2W(Ψ)inB1B1t0, (4.16)

    and

    W(Ψ)1inB1t0. (4.17)

    Denote by

    D1:={u>s1}D,D2:=DD1,
    F1:={Ψ>s1}D,F2:=DF1.

    Then J(u,D)J(Ψ,D) implies

    J(u,D2)J(Ψ,F2)+J(Ψ,F1)J(u,D1).

    In

    F1=D1A1t1

    we write

    max{u,σ}=Ψw, with Ψw0,

    and notice that w vanishes on F1 hence

    D1|u|2=F1|(Ψw)|2dxF1|Ψ|2+2wΨdxF1|Ψ|2+wW(Ψ)dxF1|Ψ|2+(W(Ψ)W(Ψw))χD1CW(Ψ)χA1t1dx, (4.18)

    where in the last inequality we used the convexity of W in D1 and the fact that W(Ψ)<0 in A1t1 thus

    wW(Ψ)ΨW(Ψ)=γW(Ψ).

    Since Ψw=u in D1 we find

    J(u,D1)J(Ψ,F1)CA1t1W(Ψ)dx,

    hence

    J(u,D2)J(Ψ,F2)+CA1W(Ψ)dx.

    By Cauchy-Schwartz and co-area formula we obtain

    J(u,D2)s10Hn1({u=s}D}W(s)ds,

    while, by (4.15),

    J(Ψ,F2)=s10Hn1({Ψ=s}D}W(s)ds.

    Hence

    J(Ψ,F2)s10Hn1({Ψ=s}A1}W(s)ds,

    and we also write

    A1W(Ψ)dx=A1B1t0W(Ψ)dx+A1B1t0W(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

    Cs00Hn1({Ψ=s}A1}W(s)ds.

    Using that

    E:={u=0}B1t1{usΨ},s[0,s1],

    we find by the isoperimetric inequality that

    |E|n1ns10W(s)dsJ(u,D2)+J(Ψ,F2).

    Notice that as γ2 (and fixed M), the integral converges to

    10W(s)ds=12.

    Also

    W(s1)|A1t1E|A1t1W(u)dxJ(u,D2)

    In conclusion

    14|E|n1n+M|A1t1E|Cs00Hn1({Ψ=s}A1}W(s)ds+C|A1|. (4.19)

    Since |E|a(1)c0 is sufficiently small, and MC0, the left hand side is bounded below by

    C02|A1t1|C02a(12t0).

    We average the right hand side by taking as test functions

    Ψt(x)=ψ(1t|x|),t[0,t0],

    and obtain

    C02a(12t0)Ca(1)a(12t0)2t0+Ca(1)

    which, as in the proof of Lemma 4.2, implies the desired conclusion (4.14) with r0=12t0,

    a(12t0)(12t0)(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|c0/2a(1)c0. (4.20)

    Indeed, otherwise

    |{0<us1}B1|c0/2,

    and we can apply inequality (4.19) (with A1t1, A1 replaced by A1, respectively A1+t1) and obtain

    Mc02Cs00Hn1({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

    |{urα0s1}Br0|rn0a(r0)rn0r0a(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 0F(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 γ2δ 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

    maxB1uc(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 2Ψ=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|(vu)|2dxC{u=0}W(v)dx.

    The left hand side is bounded below by a c1(δ) which follows from Theorem 2.1 and (vu)(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(s1γ2s1γ21))χ[s1,1],

    with Cn=8n. Let s2 be defined as

    W(s2)=14,

    hence s2=41/γs0s0, and notice that s20 as γ2. Moreover

    W=γW/sC in[0,s2]

    which implies that gC in the same interval. Furthermorer, for γ sufficiently close to 2 (depending on M), then s1γ/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 gW, and g crosses 0 at some point σ[s0,s2], and

    g12Win[s1,s0],

    which gives property 3). Property 1) follows directly from the definition. Finally, property 2) holds since in (s1,1]{g>0}

    gW=Cn(1γ2)sγ/28nW8ng.

    Moreover,

    {g>0}(2g)1/2ds=σ0(2g)1/2dss00W1/2ds+Cσs0s1/20(σs)1/2ds21/2t0+Cs01/4

    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 0F(u). First we prove that

    cJ(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

    (1c0)|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<us0}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 mρn. If we assume that each Bρ/2(xi) intersects the free boundary then, by the rescaled version of (4.21),

    J(u,Bρ(xi))cρnαγ,

    with α as in (2.4). We obtain

    J(u,B1)mcρnαγ,

    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 γk2. Assume that for some ρ(12,1) and δ>0 small,

    Jγk(uk,Bρ+δ),Jγk(vk,Bρ+δ)

    are uniformly bounded, and

    ukvkL2+u1γk2kv1γk2kL10inBρ+δˉBρ,as k.

    Then, there exists wkH1(B1) with

    wk:={vkin Bρukin B1ˉBρ+δ

    such that

    Jγk(wk,B1)Jγk(vk,Bρ+δ)+Jγk(uk,B1ˉBρ)+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+δBρ into a disjoint union of ϵ1 annuli, and after relabeling ρ and δ we may assume that

    Jγk(uk,Bρ+δBρ)ϵ,Jγk(vk,Bρ+δBρ)ϵ.

    For simplicity of notation we drop the subindex k.

    First we prove the result under the additional assumption

    uv in Bρ+δBρ. (5.1)

    Denote by

    ψr(x)=φ(|x|r),r[ρ,ρ+δ4],

    and let

    Ψr=min{u,max{ψr,v}}.

    Notice that

    uΨrvin 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)=10Hn1({Ψr=s}Dr)2W(s)ds. (5.2)

    Notice that

    {Ψr=s}Dr={u>s>v}Br+φ1(s)Bρ+δ.

    Thus, we average (5.2) for r[ρ,ρ+δ/4], and obtain

    ρ+δ/4ρJ(Ψr,Dr)drCδ10Hn(({u>s>v})(Bρ+δBρ))2W(s)ds. (5.3)

    We use (2.3) and the change of coordinates

    s1γ/2=σ and obtain2W(s)ds=dσ.

    The right hand side in (5.3) equals

    Cδ10Hn({u1γ/2>σ>v1γ/2}(Bρ+δBρ))dσCδu1γ/2v1γ/2L1(Bρ+δBρ).

    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+δBρ the function Ψr coincides with u or v outside Dr we find

    J(Ψr,Bρ+δBρ)3ϵ. (5.4)

    Finally we define

    w=ηΨr+(1η)u,

    with ηC0(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,

    uwΨr>0W(w)W(Ψr)in Bρ+δBρ+δ/2.

    Since

    |w|23(|Ψr|2+|u|2+|η|2(uΨr)2),

    we find

    J(w,Bρ+δBρ)3(J(Ψr,Bρ+δBρ)+J(u,Bρ+δBρ)+C(δ)Ψru2L2).

    Using that,

    |uΨr||uv|,

    we obtain

    C(δ)Ψru2L20as k.

    We find

    J(w,Bρ+δBρ)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+δBρ+δ/2 where we interpolate between u and min{u,v} and then in the annulus Bρ+δ/2Bρ 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)|uH1(Ω),E Caccioppoli set, u0 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 γk2 and uk satisfy

    u1γk/2kχEcin L1(Ω),ukuin 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{ukϵ})+Jγk(uk,Ω{uk>ϵ}).

    By the coarea formula and the definition of W (see (2.1))

    Jγk(uk,Ω{ukϵ}){ukϵ}|uk|2W(uk)dx={ukϵ}|u1γk/2k|dx=Ω|¯u1γk/2k|dx,with¯uk:=min{uk,ϵ}. (5.5)

    Moreover, ¯u1γk/2k converges in L1 to χE, hence

    lim infJγk(uk,Ω{ukϵ})Ω|χE|dx,

    by the lower semicontinuity of the BV norm. On the other hand

    Jγk(uk,Ω{uk>ϵ})Ω|(ukϵ)+|2dx,

    and since (ukϵ)+(uϵ)+ in L2, we obtain

    lim infJγk(uk,Ω{uk>ϵ})Ω|(uϵ)+|2dx.

    By adding the inequalities we find

    lim infJγk(uk,Ω)Ω|(uϵ)+|2dx+PΩ(E),

    and the conclusion is proved by letting ϵ0.

    Lemma 5.3. Let (u,E)A(Ω) with u a continuous function in a Lipschitz domain ¯Ω. Then, given a sequence γk2 we can construct a sequence uk such that

    u1γk/2kχEcin L1(Ω),ukuin L2(Ω),
    Jγk(uk,Ω)FΩ(u,E).

    In view of the lower semicontinuity property in Ω¯D, where DΩ 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 FRn 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 FRn which approximates E in Ω in the sense that

    FΩ{u<ϵ},χFΩχEL1ϵ,PΩ(F)PΩ(E)+ϵ,Hn1(FΩ)=0. (5.6)

    In view of this, it suffices to prove the lemma with E replaced by ˜E:=F and u replaced by ˜u:=(u2ϵ)+ 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

    Cukφk(d) onΩ˜E,

    and 1γk/20+ we have

    u1γk/2k1inΩ˜E,

    hence

    u1γk/2kχ˜Ein  L1(Ω).

    Here we used that φk(d)=cγdα, with cγ defined in (2.4), and we have

    (cγ)1γ/21as γ2.

    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)Hn1({φ(d)=s}Ω)2W(s)ds
    =baHn1({d=t}Ω)ωγ(t)dt,

    with

    ωγ(t):=2W(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

    Hn1({φ(d)=t}Ω)PΩ(˜EΩ)as t0.

    In conclusion, we find that as k

    J(φ(d),{0<d<δ}Ω)PΩ(˜EΩ)

    and

    J(φ(d),{d>δ}Ω)0.

    Using that

    uk=φ(d)if d<δ,

    and

    ukφ(d)W(uk)W(φ(d))if d>δ,

    we find

    lim supJ(uk,Ω)PΩ(˜EΩ)+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

    [u1γk/2k]BV(Ω)M

    and using the inequality

    u1γk/2k1+u2k

    we find that u1γk/2k are uniformly bounded in BV(Ω). Thus, after passing to a subsequence, we have

    u1γk/2kgin L1(Ω), (5.7)

    for some non-negative gBV(Ω). We claim that

    g=χEc for some set E. (5.8)

    First we show that for all δ>0 small

    {δg1δ}has measure zero.

    Otherwise, for all large k, the set

    {δ/2u1γk/2k1δ/2}

    has measure bounded below by a fixed positive constant. On this set

    W(uk)W((1δ/2)22γk)=cγk(1δ/2)2γk2γk, (5.9)

    as k and we contradict the uniform upper bound for the energy of uk in Ω.

    Similarly we find that the set

    {g1+δ}has measure zero.

    Indeed, otherwise

    {u1γk/2k1+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)42γk

    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<u1γk/2k12}|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 uku is uniform on compact subsets.

    Let (v,F) be an admissible pair which coincides with (u,E) near B1 and let

    R:=Bρ+δBρ,

    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,B1Bρ)+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 ρ1 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.



    [1] S. M. Allen, J. W. Cahn, Ground state structures in ordered binary alloys with second neighbor interactions, Acta Metallurgica, 20 (1972), 423–433. https://doi.org/10.1016/0001-6160(72)90037-5 doi: 10.1016/0001-6160(72)90037-5
    [2] H. W. Alt, L. A. Caffarelli, Existence and regularity for a minimum problem with free boundary, J. Reine Angew. Math., 1981 (1981), 105–144. https://doi.org/10.1515/crll.1981.325.105 doi: 10.1515/crll.1981.325.105
    [3] H. W. Alt, L. A. Caffarelli, A. Friedman, Variational problems with two phases and their free boundaries, Trans. Amer. Math. Soc., 282 (1984), 431–461. https://doi.org/10.2307/1999245 doi: 10.2307/1999245
    [4] H. W. Alt, D. Phillips, A free boundary problem for semilinear elliptic equations, J. Reine Angew. Math., 986 (1986) 63–107. https://doi.org/10.1515/crll.1986.368.63 doi: 10.1515/crll.1986.368.63
    [5] L. Ambrosio, G. De Philippis, L. Martinazzi, Gamma-convergence of nonlocal perimeter functionals, Manuscripta Math., 134 (2011), 377–403. https://doi.org/10.1007/s00229-010-0399-4 doi: 10.1007/s00229-010-0399-4
    [6] I. Athanasopoulos, L. A. Caffarelli, C. Kenig, S. Salsa, An area-Dirichlet integral minimization problem, Commun. Pure Appl. Math., 54 (2001), 479–499. https://doi.org/10.1002/1097-0312(200104)54:4<479::AID-CPA3>3.0.CO;2-2 doi: 10.1002/1097-0312(200104)54:4<479::AID-CPA3>3.0.CO;2-2
    [7] L. A. Caffarelli, A. Cordoba, Uniform convergence of a singular perturbation problem, Commun. Pure Appl. Math., 48 (1995), 1–12. https://doi.org/10.1002/cpa.3160480101 doi: 10.1002/cpa.3160480101
    [8] L. A. Caffarelli, S. Salsa, A geometric approach to free boundary problems, Providence, RI: American Mathematical Society, 2005. http://doi.org/10.1090/gsm/068
    [9] L. A. Caffarelli, E. Valdinoci, Uniform estimates and limiting arguments for non-local minimal surfaces, Calc. Var., 41 (2011), 203–240. https://doi.org/10.1007/s00526-010-0359-6 doi: 10.1007/s00526-010-0359-6
    [10] D. De Silva, O. Savin, The Alt-Phillips functional for negative powers, arXiv: 2203.07123.
    [11] S. Dipierro, A. Figalli, G. Palatucci, E. Valdinoci, Asymptotics of the s perimeter as s0, Discrete Contin. Dyn. Syst., 33 (2013), 2777–2790. https://doi.org/10.3934/dcds.2013.33.2777 doi: 10.3934/dcds.2013.33.2777
    [12] L. Modica, The gradient theory of phase transitions and the minimal interface criterion, Arch. Rational Mech. Anal., 98 (1987), 123–142. https://doi.org/10.1007/BF00251230 doi: 10.1007/BF00251230
    [13] L. Modica, S. Mortola, Un esempio di Γ-convergenza, (Italian), Boll. Un. Mat. Ital. B, 14 (1977), 285–299.
    [14] A. Petrosyan, H. Shahgholian, N. Uraltseva, Regularity of free boundaries in obstacle-type problems, Providence, RI: American Mathematical Society, 2012. https://doi.org/10.1090/gsm/136
    [15] A. Petrosyan, E. Valdinoci, Density estimates for a degenerate/singular phase-transition model, SIAM J. Math. Anal., 36 (2005), 1057–1079. https://doi.org/10.1137/S0036141003437678 doi: 10.1137/S0036141003437678
    [16] O. Savin, E. Valdinoci, Density estimates for a nonlocal variational model via the Sobolev inequality, SIAM J. Math. Anal., 43 (2011), 2675–2687. https://doi.org/10.1137/110831040 doi: 10.1137/110831040
    [17] E. Valdinoci, Plane-like minimizers in periodic media: jet flows and Ginzburg-Landau-type functionals, J. Reine Angew. Math., 2004 (2004), 147–185. https://doi.org/10.1515/crll.2004.068 doi: 10.1515/crll.2004.068
  • This article has been cited by:

    1. Daniela De Silva, Ovidiu Savin, Compactness estimates for minimizers of the Alt-Phillips functional of negative exponents, 2023, 23, 2169-0375, 10.1515/ans-2022-0055
    2. Riccardo Durastanti, Lorenzo Giacomelli, Thin-Film Equations with Singular Potentials: An Alternative Solution to the Contact-Line Paradox, 2024, 34, 0938-8974, 10.1007/s00332-023-09982-2
    3. Julie Clutterbuck, Jiakun Liu, Preface to the Special Issue: Nonlinear PDEs and geometric analysis – Dedicated to Neil Trudinger on the occasion of his 80th birthday, 2023, 5, 2640-3501, 1, 10.3934/mine.2023095
    4. Riccardo Durastanti, Lorenzo Giacomelli, Spreading Equilibria Under Mildly Singular Potentials: Pancakes Versus Droplets, 2022, 32, 0938-8974, 10.1007/s00332-022-09826-5
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1260) PDF downloads(105) Cited by(4)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog