ECOLE POLYTECHNIQUE CENTRE DE MATHÉMATIQUES APPLIQUÉES
UMR CNRS 7641
91128 PALAISEAU CEDEX (FRANCE). Tél: 01 69 33 41 50. Fax: 01 69 33 30 11 http://www.cmap.polytechnique.fr/
Interaction of a bulk and a surface energy with a geometrical constraint A. Chambolle, M. Solci
R.I. 584
November, 2005
Interaction of a bulk and a surface energy with a geometrical constraint
Antonin Chambolle∗ and Margherita Solci† Abstract This study is an attempt to generalize in dimension higher than two the mathematical results in [8] (Computing the equilibrium conguration of epi-
taxially strained crystalline lms, SIAM J. Appl. Math. 62 (2002), no. 4, 10931121) by E. Bonnetier and the rst author. It is the study of a physical system whose equilibrium is the result of a competition between an elastic energy inside a domain and a surface tension, proportional to the perimeter of the domain. The domain is constrained to remain a subgraph. It is shown in [8] that several phenomenon appear at various scales as a result of this competition. In this paper, we focus on establishing a sound mathematical framework for this problem in higher dimension. We also provide an approximation, based on a phase-eld representation of the domain.
1
Introduction
In this paper, we seek to extend to higher dimension the results of the rst author and Eric Bonnetier in [8]. There, the authors modelize the physical system which consists in a thin lm of atoms deposited on a substrate, made of a dierent crystal. Such systems are common in the engineering of devices such as electronic chips, which are obtained by growing epitaxial lms on at surfaces. In such a situation, the mist between the crystalline lattices of the substrate and the lm induces strains in the lm. To release the elastic energy due to these strains, the atoms of the free surface of the lm may diuse and a reorganization occurs in the lm. The result of this mechanism is a competition between the surface energy of the crystal, and the bulk elastic energy. The former is roughly proportional to the free surface of the crystal, and therefore favors at congurations. The bulk energy, on the contrary, is best released if oscillatory patterns develop.
We refer to [8]
and the former study [9] for a more complete explanation of the phenomenon, and for references on stress driven rearrangement instabilities (SDRI) and epitaxial growth. ∗ CMAP (CNRS UMR 7641), Ecole Polytechnique, 91128 Palaiseau cedex, France. † DAP, Università di Sassari, Palazzo Pou Salit, 07041 Alghero, Italia.
1
Here, we restrict our study to the mathematical model which is proposed in [8] in dimension two.
We extend to higher dimension the relaxation result (implic-
itly contained in Lemma 2.1 and Theorem 2.2 in [8]), and show the correctness of the phase-eld approximation, extending [8, Thm 3.1].
Observe however that
in that paper, the bulk energy is a linearized elasticity energy that involves the symmetrized gradient of the displacement.
It seems that up to now, the theory
of special bounded deformation functions [5, 7] is not well-enough developped to make possible the generalization of our results to that case, so that we only work with
W 1,p -coercive
bulk energies. Alternatively, we could have decided to impose
an additional (articial)
L∞
constraint to the displacements, in which case the
extension to linearized elasticity energies would have been relatively easy (see for instance [13]). Numerical experiments conducted by François Jouve and Eric Bonnetier (at CMAP, Ecole Polytechnique, France, and LMC/Imag, Grenoble, France) show that the phase-eld energy introduced in Section 5, in dimension 3, yield results similar to the 2D plots in [8]. See Figure 1 which shows how an island is formed, as a result of the competition between the surface energy and the strains in the material. Here the stretch (the lattice mist) along the
y -direction,
x-direction
in stronger than in the
explaining the shape of the island. (In this example, the bulk energy is
a linearized elasticity energy.)
Figure 1: Example of an island.
To be precise, we consider in this paper a displacement in a material domain which is the subgraph of an unknown nonnegative function on an open Lipschitz set subgraph
ω ⊂ R
n−1
, the displacement
0
h.
u 0
h is dened
will be dened on the
Ωh := {x = (x , xN ) ∈ ω × (0, +∞) : xN < h(x )}
2
Assuming
of
h.
We will consider
energies of the form:
Z F (u, h) =
W (∇u) dx +
Z p 1 + |∇h|2 dx0
Ωh
u
where
sastises a prescribed boundary condition on the boundary
this paper,
u
ω
ω
will be the
(N − 1)-dimensional
ω × {0}.
In
torus and the boundary condition of
on ∂ω will be of periodic type, as in [8] (however, adaption to other situations
will not be dicult as long as
∂ω
is Lipschitz).
The goal of our paper is to show that the relaxed functional of
Z F (u, h) =
F
can be written
W (∇u) dx + HN −1 (∂∗ Ωh ) + 2HN −1 (Σ),
Ωh where
Σ,
is now a
the internal discontinuity set of
BV
u,
inside the subgraph
function), will be a vertical rectiable set, so that
Ωh
h
(which
Ωh ∪ Σ
can be
of
viewed as a generalized subgraph. In an article written almost simultaneously by Andrea Braides and the authors of the present paper [10], a similar problem is studied, without the constraint that the domain is the subgraph of a function.
Although this may seem more gen-
eral, showing that recovery sequences can be built, so that
F
is not only a lower
bound, but also an upper bound for the lower semicontinuous envelope of
F,
is
considerably more dicult in our setting, since the sequence which is found must satisfy the constraint, and therefore has to be built in a constructive way (and not using some general existence result). This construction follows the discretization/reinterpolation technique introduced in [12, 13]. On the other hand, the lower bound in this work is almost a straightforward consequence of [10]. Eventually, the last section in this paper deals with the phase-eld approximation of
2
F,
using the same approach as in [8].
Setting of the problem and statement of the result
2.1 Functions of bounded variation We start by recalling some denition and results, useful in this paper, concerning spaces of function of bounded variation; for this topic, we refer essentially to [6]. Let
Ω
be an open subset of
as
RN .
Given
Z u div ψ dx : ψ ∈
sup
u ∈ L1 (Ω),
Cc∞ (Ω; RN ),
its total variation is dened
|ψ(x)| ≤ 1 ∀x ∈ Ω
.
Ω One may check that it is nite if and only if the distributional derivative is a bounded Radon measure in
Ω.
the total variation of the measure At each
x ∈ Ω,
In this case, the total variation of
Du,
and is classically denoted by
one can dene upper and lower values of
u
u
Du
u
is equal to
|Du|(Ω).
as follows: the upper
value is
|{y ∈ Ω : u(y) > t}| ∩ Bρ (x) u+ (ξ) = inf t ∈ [−∞, +∞] : lim sup =0 |Bρ (x)| ρ→0 3
of
where
Bρ (x) is the ball of radius ρ, centered at x.
Dening the jump set of
u ∈ BV (Ω), Su
if
(H
is a
u
as
N −1
so that it admits a normal
Su := {x ∈ Ω : u− (x) < u+ (x)},
, N − 1)-rectiable
νu (x)
H
at
N −1
-a.e.
one can show that
set (in the sense of Federer [16]),
x ∈ Su ,
and
Du
Du = ∇u(x) dx + (u+ (x) − u− (x))νu (x) dHN −1 where
−(−u)+ .
The lower value is simply
decomposes as
Su (x) + Dc u
Dc u, the Cantor part, is singular with respect to the Lebesgue measure and
vanishes on any set with nite
Du
Nikodym derivative of
(N − 1)-dimensional Hausdor measure.
with respect to the Lebesgue measure
∇u(x), is a.e. the approximate gradient
of
u at x, see [6].
The Radon-
dx,
Of course, if
denoted by
u ∈ W 1,1 (Ω),
it coincides with the weak gradient. Up to now, we have considered real-valued functions. If valued,
Su
will be the union of the jumps sets of the
d
u : Ω → Rd
is vector-
components of
u.
One
shows, then, that when two of these jumps sets intersect, the corresponding normals coincide
HN −1 -everywhere in the intersection up to a change of sign.
of the derivative
Du is given by (u+ − u− ) ⊗ νu dHN −1
The jump part
Su , where now, u+
are not the upper and lower values (since there is no natural order in the orientation depends on the choice of the direction of the normal
(u− , u+ , ν)
being equivalent to
The space
c
D u = 0, Then, for
SBV (Ω)
that is,
p > 1,
u: Ω → R
we say that a function
N
u ∈ SBV (Ω), ∇u ∈ L (Ω; R )
H
and
N −1
1
u ∈ L (Ω)
We say that a function
u−
) but
(the triple
u
of functions
dx + H
belongs to the space
such that
N −1
Su .
SBVp (Ω)
if
(Su ) < +∞.
is a generalized function of bounded varia-
uT := (−T ) ∨ u ∧ T belongs to BV (Ω) for every T ≥ 0. S u ∈ GBV (Ω), setting Su = T >0 SuT , a truncation argument allows to dene
tion (u If
BV (Ω)
is absolutely continuous with respect to
p
R
d
(u+ , u− , −νu )).
is dened as the subset of
Du
νu
and
∈ GBV (Ω))
the traces
u− (x)
if
and
u+ (x)
for a.e.
x ∈ Su .
c
Dening, for
u ∈ GBV (Ω),
the
c T
Cantor part of the derivative as
|D u| = supT >0 |D u |, we say that a function u in
GBV (Ω)
if
to
belongs to
GSBVp (Ω),
for
GSBV (Ω)
p > 1,
if
|Dc u| = 0, p
N
∇u ∈ L (Ω; R )
The following compactness result for
and moreover and
SBV
H
N −1
u
in
GSBV (Ω)
belongs
(Su ) < +∞.
is proven in [3, 4] (see also [6, Thm.
4.8]).
Theorem 2.1 (Compactness in SBV ) sup
nZ
n
with
un
(un )n ⊂ SBV (Ω) o |∇un |p dx + HN −1 (Sun ) < +∞,
such that
satisfy
Ω
uniformly bounded in
u ∈ SBVp (Ω)
Let
L∞ (Ω).
u nk → u
Then, there exists a subsequence
a.e. in
Ω, ∇uk * ∇u
in
p
N
L (Ω; R ),
(unk )k
and
and
HN −1 (Su ) ≤ lim inf HN −1 (Suk ) . k→∞
If
un
is bounded only in
holds, with
L1 (Ω),
one shows easily by truncation that the results still
u ∈ GSBVp (Ω). 4
2.2 Subgraphs of nite perimeter In this paper, to simplify,
ω
is the torus
(R/Z)N −1 ;
however, the extension of our
RN −1
does not raise
will be denoted by
(x0 , xN ), x0 =
results to the case of a Lipschitz bounded open subset of any diculties.
A generic point
(x1 , . . . , xN −1 ) ∈ ω , xN ∈ R.
For
x ∈ ω×R
h : ω → R+
measurable, we consider:
Ωh = {x ∈ ω × (−1, +∞) : xN < h(x0 )}
and
0 Ω+ h = {x ∈ ω × (0, +∞) : xN < h(x )} = Ωh ∩ (ω × (0, +∞)) . If
h ∈ BV (ω; R+ ),
ω × (−1, +∞)
(i.e.,
Ωh
the set
has nite perimeter in the sense of Caccioppoli in
|DχΩh |(ω × (−1, +∞)) ≤ |ω| + |Dh|(ω) < +∞,
BV (ω × (−1, +∞))).
At each point
χΩh ∈
ξ ∈ ω one can dene the upper and lower values
h+ (ξ) and h− (ξ) as in the previous section. in
so that
h+ = h−
As before, it is known that
a.e.
ω and the set of points where h− < h+ , called the jump set of h, is denoted by Sh .
Then, if
x = (x0 , xN ) ∈ ω × (−1, +∞), xN < h− (x0 ) ⇒ x ∈ Ω1h
(the set of points
0
0 where Ωh has Lebesgue density 1), xN > h+ (x ) ⇒ x ∈ Ωh (the set of points where 0 1 it has density 0), and ∂∗ Ωh = ω × (−1, +∞) \ (Ωh ∪ Ωh ), the measure-theoretical
HN −1 -a.e.
boundary, is a subset of (and
equal to)
known that the measure-theoretical boundary is
S
ξ∈ω {ξ}
HN −1 -a.e.
× [h− (ξ), h+ (ξ)].
equal to a subset
called the reduced boundary of De Giorgi, that contains only points blow-ups
νΩh (x)
(Ωh −x)/ρ converge as ρ → 0
(hence,
Ωh
has density exactly
x
It is
∂ ∗ Ωh
where the
1 N (in Lloc (R )) to a half-space of outer normal
1/2
at
x).
Let us emphasize the fact that the boundaries paper, be intended as boundaries inside
∂Ωf , ∂∗ Ωh
will always, in this
ω × (−1, +∞), that is, they do not contain
ω × {−1}.
2.3 The relaxation result Let
W : M d×N → [0, +∞),
satisfying a For
p-growth
with
d ≥ 1,
condition. Let
h ∈ C 1 (ω; [0, +∞)),
and
Z F (u, h) =
be a continuous and quasi-convex function
0
u ∈ W 1,p (ω × (−1, 0); Rd ).
d 0 u ∈ W 1,p (Ω+ h ; R ), with u = u in ω × {0}, Z p W (∇u) dx + 1 + |∇h|2 dx0 ;
Ω+ h
ω
clearly, the same denition can be done for
u ∈ L1 (ω × (0, +∞); Rd )
such that the
+ restriction to Ωh satises the previous properties; moreover, we dene +∞ otherwise in L1 (ω × (0, +∞); Rd ) × BV (ω; [0, +∞)). It is clear that equivalently one can write that in
we set:
u ∈ W 1,p (Ωh ; Rd ),
F (u, h) =
with
u = u0
ω × (−1, 0). The main result of this paper is the proof of the following relaxation result for
the functional
F,
here written in the case
remark in Section 2.4).
5
d=1
(for the general case, see the 4th
Theorem 2.2 to the
The lower-semicontinuous envelope of the functional
1
1
L (ω × (0, +∞)) × L (ω)
topology, is the functional
F
with respect
1
F : L (ω × (0, +∞)) ×
1
L (ω) → [0, +∞] dened as: Z W (∇u) dx + HN −1 (∂∗ Ωh ) + 2HN −1 (Su0 ∩ Ω1h ) Ω+ h if h ∈ BV (ω; [0, +∞)) and uχΩ+ ∈ GSBV (ω × (0, +∞)) F (u, h) = h +∞ otherwise, where
Su0 = {(x0 , xN + t) : x ∈ Su , t ≥ 0} . Observe that, denoting sometimes write
Σ = Su0 ∩ Ω1h , Σ is a vertical
Γ = ∂∗ Ωh ∪ Σ,
rectiable set, and we will
the generalized interface.
The proof of Theorem 2.2 will be given by showing a lower and an upper bound, respectively in Section 3 (Prop.
3.1) and in Section 4 (Prop.
4.1); the thesis of
Theorem 2.2 immediately follows from these results.
2.4 Some remarks 1. In [10], a similar result is shown, with mainly two dierences, that both follow from the constraint that the set where
u is dened is a subgraph:
lim inf
in the
0
inequality, we have to keep the track of vertical parts of the boundary (Su ) that might not be in the jump set of In the
u (that is, one might have (Su0 \ Su ) ∩ Ω1h 6= ∅).
lim sup inequality, one needs to build a recovery sequence which remains
a subgraph, leading to a much more complex proof than in [10]. 2. In [8], one also considers the case where the surface tension for the substrate (of boundary
ω × {0}), σS ,
the crystal (of boundary
can be dierent from the surface tension
∂Ωh ∩ (ω × (0, +∞)),
if
h
σC
of
is smooth). In this case,
two dierent phenomena occur, depending on the fact
σS ≤ σC
or
σC < σS .
In the latter case, it is always energetically convenient to cover (or wet) all the surface of the substrate with an innitesimal layer of crystal, so that the global surface tension in the relaxed energy is
σC .
In case
σS
is less than
σC ,
then parts of the substrate might remain uncovered by the crystal, and the surface energy in the relaxed functional will be given by
σC (HN −1 (∂∗ Ωh ∩ (ω × (0, +∞))) + 2HN −1 (Su0 ∩ Ω1h )) + σS HN −1 ({x0 ∈ ω : h(x0 ) = 0}) . We do not prove this result here: we fear it would make the paper harder to read, mostly because of the notation. See also Remark 4.4. 3. Still in [8], the (2D) functional
R
constraint (
ω
h dx = 1).
F
is minimized with an additional volume
It is easy to show that the relaxed functional
not change under this constraint see Remark 4.2 below.
6
F
does
4. In the sequel, we will assume that
d = 1, u
Adapting the proofs to the vectorial case (and
W
is scalar, hence
W
is convex.
quasiconvex) is straightfor-
ward (and would just make the notation more tedious). 5. In [8] and the problem mentionned in the introduction, it is not
x1
which is 1-periodic in the rst variable.
written with
u ∈ GSBVp (ω × (−1, +∞)):
rst directions (we recall
ω
is the
3
u−
but
Here, to simplify, everything is
that is,
u
is periodic in the
(N − 1)-dimensional
results to extend them to the case where (for instance)
GSBVp (ω × (−1, +∞)), α > 0,
u
(N − 1)
torus). Adapting the
u − α(x1 , 0, . . . , 0) ∈
would not be dicult.
A lower bound for the relaxed envelope of F
In this section we obtain a lower bound for the relaxed functional
F
by proving the
following proposition.
Proposition 3.1 un = u0
in
For every sequence
ω × (−1, 0),
(un , hn ) ∈ W 1,p (Ωhn ) × C 1 (ω; [0, +∞)),
with
such that
sup F (un , hn ) < +∞, n
there exist
Ωh )
h ∈ BV (ω; [0, +∞))
such that
and
u ∈ GSBV (ω × (0, +∞))
(with
χΩhn un → u in L1 (ω × (0, +∞)), hn → h in L1 (ω), Z Z |∇un (x)|p dx , |∇u(x)|p dx ≤ lim inf n→∞
Ω+ h
u=0
out of
and
(1)
Ω+ hn
and
HN −1 (∂∗ Ωh ) + 2HN −1 (Su0 ∩ Ω1h ) ≤ lim inf n→∞
Z p 1 + |∇hn (x0 )|2 dx0
(2)
ω
This Proposition implies immediately the lower bound for the relaxed envelope of
F,
that is the rst part of the proof of Theorem 2.2. Indeed, we obtain in the
proof that the sequence since the function functional
G(u) =
W R
(un )n
converges in fact weakly in the
W 1,p -topology,
is lower semicontinuous and quasi-convex, with growth
Ω+ h
W (∇u) dx
is weakly lower semicontinuous in
W
1,p
p,
and the
; then, in
the same hypotheses, we get the inequality:
Z Ω+ h
W (∇u(x)) dx + HN −1 (∂∗ Ωh ) + 2HN −1 (Su0 ∩ Ω1h ) Z Z p ≤ lim inf W (∇un (x)) dx + 1 + |∇hn (x0 )|2 dx0 , n→∞
Ω+ hn
Let us consider a sequence
ω
(un , hn )
such that
sup F (un , hn ) < +∞ ; n≥1
7
(3)
un → u
we show that, up to a subsequence,
1
L (ω),
L1 (ω × (0, +∞))
in
and
hn → h
in
with
F (u, h) ≤ lim inf F (un , hn ).
(4)
n→∞
To prove the lower inequality, it is sucient to consider sequences
∞
hn ∈ C (ω; [0, +∞))
and
un ∈ W
1,p
(Ω+ hn ), and
u=u
0
on
ω × {0};
(un , hn )
with
however, this
compactness property, as well as inequality (4), will still hold if we just assume that
hn ∈ W 1,1 (ω) and un ∈ SBVp (ω × (−1, +∞)) with un = u0 in ω ×(−1, 0), u(x) = 0 0 ˜ ∗ Ωhn (where A⊂B ˜ means HN −1 (A \ B) = 0). a.e. in {xN > h(x )}, and Su ⊂∂ Let us consider rst the compactness and lower semicontinuity of the jump term, and for this we will use a special notion of convergence for jump set of
SBVp
functions.
3.1 Jump set convegence The following notion of jump set convergence is introduced by Dal Maso, Francfort
p
and Toader [14, Def. 4.1] and [15, Def. 3.1]. It is called σ -convergence. A variant, which is independent on the exponent
p > 1,
has been introduced more recently by
Giacomini and Ponsiglione, see [18]. In the sequel, we denote respectively equality and inclusion up to a negligible set by the symbols
Denition 3.2 quence
+∞
(Γn )n∈N
Let
Ω
= ˜
and
˜. ⊂
be an open set in
of subsets of
Ωσ
p
HN −1 -
RN ,
and
converges to
p ∈ (1, +∞).
We say that a se-
Γ if and only if supn∈N HN −1 (Γn )
0 with i=1 ci < +∞ P∞ S∞ ∞ that v := ˜ i=1 Svi . i=1 ci vi ∈ SBVp (Ω) ∩ L (Ω) and Sv =
N −1
such
Let us mention the following variant of the proof of Theorem 3.3, still based on
Γ ⊂ Ω, we introduce Z p ˜ X(Γ) = v ∈ SBVp (Ω; [−1, 1]) : Sv ⊂Γ , |∇v| dx ≤ 1 .
Lemma 3.4: given
Ω 8
Then, if
HN −1 (Γ) < +∞, by Ambrosio's compactness theorem 2.1, X(Γ) is compact
L1loc (Ω)
in
supn H
(which is metrizable).
If
(Γn )n
is a sequence of jumps sets with
L =
N −1
(Γn ) < +∞, then the sets X(Γn ) all belong to Z N −1 p XL = v ∈ SBVp (Ω; [−1, 1]) : H (Sv ) ≤ L, |∇v| dx ≤ 1 . Ω
L1loc (Ω).
(X(Γnk ))k converges in the 1 Hausdor sense (with the Hausdor distance in Lloc (Ω) induced by a distance in L1loc (Ω)) to a compact K ⊂ XL . We show that K ⊆ X(Γ) for some Γ. ∞ Let (vi )i=1 be a dense sequence in the compact set K . We rst observe that which is also compact in
since
K
is convex, given any
for an appropriate choice of
H
N −1
any let
(Sv ∪ Sv0 ) ≤ L.
θ,
Hence, a subsequence
v, v 0
in
K
w
there exists
(given by
see for instance [17]) such that
In particular, we deduce that
H
N −1
θv + (1 − θ)v 0
Sw =S ˜ v ∪ Sv0 , hence Sk ( i=1 Svi ) ≤ L for
N −1
k ≥ 1, and passing to the limit, that H (Γ) ≤ L < +∞, where we S∞ Γ = i=1 Svi . Using Lemma 3.4, we deduce that there exists v ∈ K
Γ=S ˜ v.
Hence
Γ
v ∈ K
is the limit of an appropriate subsequence
satises axiom (ii) in Denition 3.2.
and a consequence of Ambrosio's compactness axiom (i) in Denition 3.2 is satised. Hence
have with
On the other hand, any
˜ , vi(k) , k ≥ 1, with Svi(k) ⊂Γ ˜ , so that also theorem is that Sv ⊂Γ
Γnk σ p -converges
to
Γ.
We observe that an obvious consequence of Ambrosio's theorem is that if
σ
p
Γn
Γ,
-converges to
HN −1 (Γ) ≤ lim inf HN −1 (Γn ) .
(5)
n→∞
3.2 Proof of the lower inequality Let
Γn = ∂Ωhn = {x ∈ ω × (−1, +∞) : xN = hn (x0 )}
hn .
Up to a subsequence, we know by Theorem 3.3 that
as
n → ∞.
Since
subsequence,
is uniformly bounded in
hn → h
1
L (ω × (0, +∞)) Clearly,
hn
(un ),
We show that
whose jump set is
Γ
Σ
in the three parts
Sv =Γ ˜ ,
vn
˜ n. Svn ⊂Γ
t ≥ 0.
Indeed, let
Ωh
in the
Consider the functions
x 7→ v(x , xN − t)χΩh (x),
Σ0 = Γ ∩ Ω0h .
limits of converging
v ∈ SBVp (ω × (−1, +∞)) v
in
x 7→ vn (x , xN − t)χΩhn (x),
N −1
9
with
t < 1,
These functions will converge
(Sv + teN ) ∩ Ω1h ⊂ Γ, -a.e. in
be such that
SBVp (ω × (−1, +∞))
0
showing that
H
u,
and
x = (x0 , xN ) ∈ Σ, (x0 , xN + t) ∈
ω × (−1, −1 + t).
claim. In particular, we deduce that
vn = χΩhn ,
Ωh .
be a sequence weakly converging to
extended in an appropriate way in to
∂∗ Ωh , Σ = Γ ∩ Ω1h ,
is vertical: that is, for any
for any
and let
converge to
∂∗ Ωh .
will all vanish outside of
Σ ∪ (RN \ Ω1h )
0
Ωhn
is irrelevant in our study, since the functions
subsequences of
with
Equivalently, the sets
possibly extracting another
indeed, if we take in Denition 3.2 the sequence
vn → χΩh
Let us decompose
Σ0
L (ω).
W 1,1 (ω),
Γn σ p converges to some Γ
topology for the characteristic functions.
∂∗ Ωh ⊆ Γ,
we nd that
The part
in
1
be the graph of the function
Σ, νΣ · eN = 0.
which shows our
HN −1 (∂∗ Ωh ) + HN −1 (Σ) ≤ lim inf n→∞ HN −1 (Γn ).
By (5), we have
We claim
that, in addition,
HN −1 (∂∗ Ωh ) + 2HN −1 (Σ) ≤ lim inf HN −1 (Γn ). n→∞
This follows from [10] and the denition of
σ p -convergence.
Indeed, it is a conse-
lim inf -inequality in [10], applied to a sequence (vn )n≥1 ˜ v. converging in SBVp (ω × (−1, +∞)) to a v such that Σ⊂S
quence of the weakly
Let us now conclude.
If
F (un , hn )
× (−1, +∞)).
there exists
∇u
in
out of
(un )
is uniformly bounded in
Then, it is a consequence of Ambrosio's Theorem 2.1 that
u ∈ GSBVp (ω × (−1, +∞))
p
N
L (ω × (−1, +∞); R ), Ωh .
˜ n, Svn ⊂Γ
is uniformly bounded, then by integra-
tion along vertical segments we easily check that
Lploc (ω
with
such that
un (x) → u(x)
∇un *
a.e., and
u
vanishes
By point (i) in Denition 3.2, which is easily generalized to
GSBVp
so that the inequality (1) holds. Clearly,
functions (see [14, Prop. 4.6]), we have that
0 vertical, Su
∩ Ω1h
⊂ Σ.
˜ ∪ ∂∗ Ωh . Su ⊂Σ
In particular since
Σ
is
We deduce (2). Clearly, the inequality (4) follows from (1)
and (2).
4
An upper bound for the relaxed envelope of F
We now get the upper bound for the relaxed envelope of the functional
F
by proving
the following proposition.
Proposition 4.1 and
un ∈ W 1,p (Ωhn )
un χΩ+ → uχΩ+ hn
h
u, h with F (u, h) < +∞, there exist hn ∈ C 1 (ω; [0, +∞))
For any with
un = u0
in
L1 (ω × (0, +∞)),
in
Z lim sup n→∞
Ω+ hn
ω × (−1, 0),
such that
hn → h
in
L1 (ω),
and:
|∇un (x)|p dx =
Z
|∇u(x)|p dx
(6)
Ω+ h
and
lim sup n→∞
Z p 1 + |∇hn (x0 )|2 dx0 ≤ HN −1 (∂∗ Ωh ) + 2HN −1 (Su0 ∩ Ω1h ).
We note that the proposition completes the proof of Theorem 2.2. if we nd a sequence convergence
(un )n
∇un χΩ+ → ∇uχΩ+ hn
h
in
Lp ; the continuity of W
Ω+ h
lim sup
Indeed,
satisfying the equation (6), we can deduce the strong gives the general result
Z Z p lim sup W (∇un (x)) dx + 1 + |∇hn (x0 )|2 dx0 + n→∞ Ω ω Z hn ≤ W (∇u(x)) dx + HN −1 (∂∗ Ωh ) + 2HN −1 (Su0 ∩ Ω1h ), which is the
(7)
ω
inequality for the functional
10
F.
(8)
Remark 4.2 (that is,
In case one adds in the denition of functional
F (u, h) = +∞ if
R ω
h dx 6= V
where
a volume constraint
V > 0 is a xed volume), then it is easy
to show that Proposition 4.1 still holds, with the sequence
(hn )
satisfying the same
(hn ) provided by the R R proposition (without volume constraint), one clearly has rn = h dx/ ω h dx → 1 ω n volume constraint as the limit
h.
F
Indeed, given the sequence
n → ∞, and an appropriate scaling (of the form x 7→ (x0 , xN /rn )) of the functions R R and the domain will provide new sequences (un , hn ) with h dx = ω h dx, and ω n
as
still satisfying (6) and (7).
Proof of the proposition.
Let us consider, now,
u
and
h
such that
First step: approximation of (most of) the graph. approximate a generalized graph
(∂∗ Ωh , Σ),
We show that we can
Σ ⊂ Ω1h ∩ (ω × (0, +∞))
where
0
x ∈ Σ ⇒ (x , xN + t) ∈ Σ for any t 1 Ωh , with the graph of a smooth function f : ω
vertical in the sense that as
F (u, h) < +∞.
0
(x , xN + t) ∈
≥ 0
is
as long
→ R+ ,
with
Ωf ⊂ Ωh \Σ up to a small part, and a good approximation of the total surface energy R p HN −1 (∂∗ Ωh ) + 2HN −1 (Σ) (by the surface of the smooth graph ω 1 + |∇f |2 dx). Let us rst state the following lemma, which will be useful in the sequel:
Lemma 4.3 H
N −1
that
g ∈ BV (ω; R+ )
Let
(∂∗ Ωg \ ∂∗ Ωg ) = 0.
0≤f ≤g
and assume
Then, for any
ε > 0,
ω , kf − gkL1 (ω) ≤ ε
a.e. in
∂∗ Ωg
is essentially closed, that is,
there exists
f ∈ C ∞ (ω; R+ )
such
and
Z p 2 dx − HN −1 (∂ Ω ) ≤ ε . 1 + |∇f | ∗ g ω
We do not give the proof of this lemma, which is obtained by regularizing (at a scale smaller than
δ ∈ (0, 1))
the function
gδ+ = gδ ∨ 0,
where
gδ
is dened by
{x = (x0 , xN ) ∈ ω × (−1, +∞) : xN ≤ gδ (x0 )} = {x ∈ ω × (−1, +∞) : The as
(N − 1)dimensional
δ→0
dist(x, (ω
× (0, +∞)) \ Ωg ) > δ} .
measure of the boundary of this set goes to
HN −1 (∂∗ Ωg )
(along well chosen subsequences) because of the assumption that
∂∗ Ωg
is
closed. Now, let us rst assume that
ε > 0,
there exists
∞
Σ = ∅:
f ∈ C (ω; R+ )
we claim that for any
h ∈ BV (ω; R+ )
such that
kf − hkL1 (ω) + HN −1 (∂∗ Ωh ∩ Ωf ) ≤ ε . and
and
Z p 2 dx − HN −1 (∂ Ω ) ≤ ε . 1 + |∇f (x)| ∗ h
(9)
(10)
ω
We x
ε > 0.
Let us consider a mollifying kernel
the unit ball, and for any
N
ρ ∈ Cc∞ (RN ),
η > 0 let ρη (x) = (1/η) ρ(x/η).
11
For
with support in
n ≥ 1 we consider the
function strongly
wn = ρ1/n ∗ χΩh : ω × R → [0, 1]. It is well known that not only wn → χΩh R 1 in L , but also that |∇wn (x)| dx → |DχΩh |(ω × (−1, +∞)) = ω×(−1,+∞)
HN −1 (∂∗ Ωh )
as
n → +∞.
One has, for every
x ∈ Ω1h ∪ ∂ ∗ Ωh ∪ Ω0h (hence, HN −1 -a.e. x ∈ ω × (−1, +∞)): 1 if x ∈ Ω1h 1 ∗ lim wn (x) = (11) if x ∈ ∂ Ωh 2 n→∞ 0 if x ∈ Ω0h
The same properties are true for the sequence of (l.s.c.) functions
(w ˜n )n≥1
de-
ned by
wn (x) w ˜n (x) = 1
if
x ∈ ω × [0, +∞)
if
x ∈ ω × (−1, 0) .
Indeed, using the coarea formula, one sees that
Z
1
HN −1 (∂{w ˜n > s}) ds
|Dw ˜n |(ω × (−1, +∞)) = 0 1
Z
HN −1 (∂{wn > s}) ds =
≤
Z
0 since
|∇wn (x)| dx , ω×(0,+∞)
HN −1 (∂{wn > s} ∩ (ω × (−1, 0))) ≥ HN −1 ({x0 ∈ ω : wn (x0 , 0) ≤ s}) =
HN −1 (∂{w ˜n > s} ∩ (ω × (−1, 0))), of the rst one. We deduce that but since
w ˜n → χΩh ,
the second set being the projection onto
lim supn→∞ |Dw ˜n |(ω × (−1, +∞)) ≤ H
(∂∗ Ωh ),
limn→∞ |Dw ˜n |(ω × (−1, +∞)) = H
N −1
(∂∗ Ωh ).
it yields
Clearly, (11) is also true for w ˜ , since Ω1h the sequel and just write For a.e.
s ∈ (0, 1),
wn
instead of
⊃ ω × (−1, 0).
lim inf n→∞ H
N −1
limn→∞ |{wn > s}4Ωh | = 0,
s}) = H
N −1
(∂∗ Ωh ).
Let us consider
s),
and using
s ∈ (0, 1), {wn > s}
(∂{wn > s}) = H
a subsequence (possibly depending on
We drop the tilde in
w ˜n .
one also checks that
Fatou's lemma and the co-area formula, that for a.e. open set such that
ω × {0}
N −1
N −1
we may assume
(∂∗ Ωh ).
is an
Thus, up to
limn→∞ H
N −1
(∂{wn >
∗
s ∈ (2/3, 3/4) and an appropriate subsequence
such that this property is true, and we consider the corresponding sequence of sets
{x ∈ ω × (−1, +∞) : wn (x) > s∗ }. We have that HN −1 (∂∗ Ωh ∩ {wn > s∗ }) = R N −1 ∗ (x) dH χ (x), and since by (11), χ{wn >s∗ } (x) → 0 HN −1 a.e. in ∂∗ Ωh {wn >s } ∂∗ Ωh ,
we nd
HN −1 (∂∗ Ωh ∩ {wn > s∗ }) → 0
as
n → ∞.
We x
|{wn > s∗ }4Ωh | + HN −1 (∂∗ Ωh ∩ {wn > s∗ }) ≤
It is clear that
N −1 ε H (∂{wn > s∗ }) − HN −1 (∂∗ Ωh ) ≤ . 2 there exists g : ω → [0, +∞) a BV function such
{xN < g(x0 )}.
By Lemma 4.3 applied to
g,
n
large, such that
ε , 2
that
{wn > s∗ } =
we nd a smooth function
f ≤ g , f ≥ 0,
satisfying both (9) and (10). Now, assume
Σ 6= ∅.
First, possibly replacing
h by h ∧(M −1) = min{h, M −1},
M > 1 large, we may assume without loss of generality that h is bounded by M − 1. 12
Σ0
Let us then dene
0
Ω1h
Σ ∩
= Σ.
Σ
if
K
K ⊆ Σ0
Σδ = Σ ∩ Ωhδ :
with
xN ≤ hδ (x0 ) + δ} ⊆ Σ 0
0 x∈Σ {x }
∪ [xN , M ]
so that
hδ = (h − δ)+ ,
indeed, one will have that
Σ0δ ∩ {hδ (x0 ) ≤
is dened as
Σ,
H
also
as previously.
while it tends to
HN −1 (K 0 ∩ Ω1h )
N −1
0
HN −1 (Σ0 \ K) ≤ ε/10.
0
(Σ \ K ) ≤ ε/10,
Ω1h ) ≤ HN −1 (Σ).
By (11), we have that
0 HN −1 -a.e. n → ∞,
as
h
HN −1 (Σ0δ ∩ (ω × [0, M ])) ≤ (M/δ)HN −1 (Σ) < +∞.
be a compact set such that
0
HN −1 (Σ0 ∩ (ω ×
with
Let us build the sequence of l.s.c. functions
(2/3, 3/4),
and recall that by assumption,
possibly replacing (in a preliminary step)
small, and
Now, let
S
We may also assume without loss of generality that
[0, M ])) < +∞, δ>0
Σ0 =
by
outside.
and
n
We can hence choose
Observe that,
is compact.
(wn )n≥1 ,
and nd a level
χ{wn >s∗ }
converges to
In particular,
and this limit saties
K
0
1
s∗ ∈ Ω1h ,
in
HN −1 (K 0 ∩ {wn > s∗ }) →
HN −1 (Σ) − ε/10 ≤ HN −1 (K 0 ∩
such that
|{wn > s∗ }4Ωh | + HN −1 (∂∗ Ωh ∩ {wn ≥ s∗ }) ≤
ε , 4
N −1 ε H (∂{wn > s∗ }) − HN −1 (∂∗ Ωh ) ≤ , 4 and
Observe now
N −1 0 ε H (K ∩ {wn > s∗ }) − HN −1 (Σ) ≤ . 8 0 that since the set K is compact, then its Minkowski
0
|{dist(·, K ) < s}|/(2s)
H
converges to
N −1
0
(K )
as
s → 0
(see [16]).
content
Since by
the coarea formula,
|{dist(·, K 0 ) < s}| 1 = 2s 2s
s
Z
HN −1 (∂{dist(·, K 0 ) > t}) dt ,
0
we can deduce (for instance with arguments similar as in Section 3.2) that there exists a sequence
(sk )k≥1
such that
measures. In particular, if that
H
N −1
{0})) = 0
0
k
(K ∩ ∂{wn > s }) = 0
otherwise
H
∂{dist(·, K 0 ) > sk } * 2HN −1
K0 ∗
s
is large enough, and provided we have chosen
∗
N −1
HN −1
0
(Σ )
(almost any choice suits, since
H
N −1
as
such
0
(K ∩ (ω ×
would be innite), we have
N −1 ε H (∂{dist(·, K 0 ) > sk } ∩ {wn > s∗ }) − 2HN −1 (Σ) ≤ , 2 while
|{dist(·, K 0 ) ≤ sk }| ≤ ε/4
For such values of
and
HN −1 (∂{wn > s∗ } ∩ {dist(·, K 0 ) ≤ sk }) ≤ ε/8.
k , the open set {dist(·, K 0 ) > sk }∩{wn > s∗ }∩(ω × (−1, +∞))
(with piecewise Lipschitz boundary, if of a nonnegative
BV
function
g
with
sk
was properly chosen) is the subgraph
kg − hkL1 (ω) ≤ ε/2, H
HN −1 ((∂∗ Ωh ∪ Σ) ∩ Ωg ) ≤ and
N −1
Ωg
(∂Ωg \ ∂∗ Ωg ) = 0,
ε 2
∂Ωg = (∂{dist(·, K 0 ) > sk } ∩ {wn > s∗ }) ∪ (∂{wn > s∗ } ∩ {dist(·, K 0 ) > sk }),
so that
N −1 3ε H (∂Ωg ) − (HN −1 (∂∗ Ωh ) + 2HN −1 (Σ)) ≤ 4
13
f ≤ g , f ≥ 0,
Then, invoking again Lemma 4.3, we nd a smooth function
with
kf − hkL1 (ω) ≤ ε,
and
HN −1 ((∂∗ Ωh ∪ Σ) ∩ Ωf ) ≤ ε
(12)
Z p 2 dx − (HN −1 (∂ Ω ) + 2HN −1 (Σ)) ≤ ε . 1 + |∇f (x)| ∗ h
(13)
ω
Remark 4.4
We have, in addition,
lim HN −1 ({x0 ∈ ω : fε (x0 ) = 0}) = HN −1 ({x0 ∈ ω : h(x0 ) = 0}) ,
ε→0
(fε denoting the
k > 1
exists with
h(x ) ≥ 1/k
that
H H
and
so that
lim supε→0 H
duce that
N −1
N −1
fε → h
0
x 6∈ K H
N −1
N −1
uniformly in
({fε = 0}) ≤ H
({h = 0} ∩ {fε = 0}) → H
lim inf ε→0 H
N −1
N −1
H
N −1
({h = 0}).
N −1
σs
energy of
hence
there
and
K ⊂ ω
ε
is small
{fε = 0} ⊂
({h = 0}) + 2η .
We de-
On the other hand,
({h = 0} ∩ {fε > 0}) → 0
({h = 0}),
hence
H
N −1
so
({h = 0}) ≤
({fε = 0}).
A consequence is that in case (as in [8]) the substrate tension
η > 0,
Then, if
fε (x ) ≥ 1/(2k),
will yield
we see that
ω \ K.
0
({fε = 0}) ≤ H
(∂∗ Ωh ∩ Ωfε ) → 0, N −1
Indeed, for
HN −1 ({h < 1/k}) ≤ HN −1 ({h = 0}) + η
such that
0
K ∪ {h < 1/k}
ε > 0).
obtained for a particular
HN −1 (K) ≤ η
enough,
since
f
such that
less than the supercial tension
(∂∗ Ωh , Σ)
σc
{xN ≤ 0} has a supercial
of the crystal, that is, the surface
is
σs HN −1 ({h = 0}) + σc (HN −1 (∂∗ Ωh ∩ (ω × (0, +∞))) + 2HN −1 (Σ)) , then
f
can fulll the additional requirement
Z N −1 ({f = 0}) + σc σs H
p 1 + |∇f |2 dx
{f >0}
− σs H
N −1
({h = 0}) + σc (HN −1 (∂∗ Ωh ∩ (ω × (0, +∞))) + 2HN −1 (Σ)) ≤ ε
If on the other hand mating
(h, Σ)
with
σ c < σs ,
this is not optimal (in terms of relaxation: approxi-
(h + δ, Σ + δeN ), δ
small, will reduce the energy).
Second step: approximation of both the graph and displacement. now show that if out of
Ωh ,
and
u ∈ GSBVp (ω × (−1, +∞)) u = u0
Ω1h ∩ (ω × (0, +∞))
∇un → ∇u
un
is given, with
(where
vertical, then there exists
un ∈ W 1,p (Ωhn ), un = u0 (extending both
ω × (−1, 0)
on
and
strongly in
in
Su ⊆ ∂∗ Ωh ∪ Σ, u = 0
u0 ∈ W 1,p (ω × (−1, 0))), Σ ⊂
(un , hn )n≥1 ,
with
hn ∈ C ∞ (ω; R+ ),
ω × (−1, 0), such that as n → ∞, hn → h in L1 (ω) and
∇un
with zero out of
Ωhn ), un → u
in
L1 (ω × (−1, +∞)),
Lp (ω × (−1, +∞); RN ),
Z p lim 1 + |∇hn (x)|2 dx = HN −1 (∂∗ Ωh ) + 2HN −1 (Σ) .
n→∞
We
ω 14
ε > 0.
Let us x
kf − hkL1 (ω) ≤ ε,
First, by the previous step, there exists
and such that both (12) and (13) hold.
function that is equal to Possibly choosing
f
f ∈ C ∞ (ω)
We denote by
u in Ωf , to 0 in (ω × (0, +∞))\Ωf , and to u
in
v
the
ω ×(−1, 0).
h, we may assume, also, that kv−ukL1 (ω×(−1,+∞)) ≤ ε.
closer to
Eventually, we also extend
0
with
v
(by symmetry) slightly below
ω × {−1},
to the set
ω × (−1 − δ, −1), 0 < δ < 1. Let us dene, for
ξ ∈ RN ,
the anisotropic potential
N X
Wp (ξ) :=
|ξi |p .
i=1 Clearly,
v ∈ GSBVp (ω × (−1 − δ, +∞)),
Z
and one has, if
δ
is small enough,
Z Wp (∇v(x)) dx =
Wp (∇v(x)) dx
Ωδf
ω×(−1−δ,+∞)
Z ≤
Wp (∇u(x)) dx + ε,
(14)
ω×(−1,+∞) where
Ωδf = {x ∈ ω × (−1 − δ, +∞) : xN < f (x0 )}.
Sv ⊂ ∂Ωf ∪ ((∂∗ Ωh ∪ Σ) ∩ Ωf ), For
vky,η
n≥1
let
η = 1/n
be a discretization step. Given
= (v(yη + kη)), (k1 , . . . , kN −1 ) ∈ (Z/nZ) ω × (−1 − δ, +∞)
η
,
y ∈ (0, 1)N ,
v y,η .
We let, for
and
(so that
v.
i = 1, . . . , N ,
∪ Σ) ∩ [yη + kη, yη + (k + ei )η] = ∅, + kη)
satises
we denote by
kN ≥ −(1 + δ)/η − y
are considered) a discretization of
Let us also dene a discrete jump of
i,y,η above, lk = 0 if (∂∗ Ωh i,y,η have that l = χS i (yη
v
its surface energy is estimated by (12) and (13).
N −1
only point in
The jump set of
1
and
y, k
as
otherwise. We
i where the set Sη is given by
Sηi = (∂∗ Ωh ∪ Σ) + [−ηei , 0] where
A, B
(e1 , . . . , eN )
is
RN
is the canonical basis of
and as usual the sum of two sets
A + B = {a + b : a ∈ A, b ∈ B}.
The discrete energy of
Dηy =
N X
(vky,η , (lki,y,η )N i=1 )k
p
Dηi,y
with
Dηi,y = (η)N
X
i=1
(1 − lki,y,η )
k
where the sum is taken on all
k
Let us compute the average
y,η |vk+e − vky,η | lki,y,η i + α , (η)p η
such that the segment
δ inside open set Ωf . The parameter
of variable
is dened by
α>0
R y∈(0,1)N
[yη + kη, yη + (k + ei )η]
lies
will be xed later on.
Dyη .
For each i, one has (using the change
(y, k) 7→ x = (y + k)η
Z (0,1)N
Dηi,y
Z = i Oη
(1 − χSηi )(x)
p χSηi (x) |v(x + ηei ) − v(x)| + α dx (η)p η
where the domain of integration is
Oηi
0 = x ∈ ω × (−1 − δ, +∞) : xN < min f (x + tηei ) 0≤t≤1
OηN = {x ∈ ω × (−1 − δ, +∞) : xN < f (x0 ) − η} 15
if
i ≤ N − 1,
and
Now, using the slicing technique of Gobbino [19], used in a similar setting in [12, 13] (see also [2]), we nd that this integral is less than
p Z ∂v dx + α (x) ∂xi
Z Ωδf
|ei · νv (x)| dHN −1 (x) .
Sv ∩Ωf
HN −1 (Sv ∩ Ωf ) ≤ ε, we deduce Z √ ≤ Wp (∇v(x)) dx + α N ε .
Since by construction, using (12),
Z (0,1)N
Dηi,y
On the other hand, if for any
y and η > 0 (small) we dene the interpolate of (vky,η )k
as
v
y,η
X
(x) =
(15)
Ωδf
vky,η ∆
k∈(Z/nZ)N −1 ×Z where
∆(x) =
N Y
x − (k + y) , x ∈ ω × R , η
(1 − |xi |)+ ,
(16)
i=1
(ηl )l≥1
then it is classical [2, 11] that there exists a sequence
1
d
L (ω × (−1, +∞); R )
as
l→∞
for a.e.
N
y ∈ (0, 1)
subsequence, we deduce from (15) that there exist
lim Dηyl ≤
and
kv y,ηl − vkL1 → 0
as
In the sequel, we x Consider now a cube If
∂∗ Ωh ∪ Σ
k + {0, 1}N
y ∈ (0, 1)N
y
to this value and drop the corresponding superscript. such that
1 2N −1
N X
i,ηl
happens is bounded by this case, as long as
∂∗ Ωh ∪ Σ 0
C ⊂
∂∗ Ωh ∪ Σ
to the energy
(since at least one l ˆ k
is
1).
Dηl
cubes.
i
and
kˆ ∈
i
2
Ck
N −1
to the energy
N −1
c/(ηl )
Ck
Wp (∇v (x)) dx. Ck ,
crosses one of the edges of
is at least
a.e. in
C
0
Ck ⊂ Ωδf
then the con-
α(ηl /2)N −1 = αHN −1 (∂Ck )/(N 2N )
, hence their total volume by
v=0
since
cubes. By inequality (30) in
must cross an edge of every other cube
Ωδf , or unless
Dηl ,
ηl
R
By (17), the total number of cubes
We call a jump cube a cube
∂∗ Ωh ∪ Σ
for any
(ηl )p
is shared by
Lemma A.1, this sum is larger or equal to On the other hand, if
= 0
p ηl − vkˆηl vk+e ˆ
X
N i=1 k∈k+{0,1} ˆ ˆi =ki k
ˆ l , (y + kˆ + ei )ηl ] [(y + k)η
Ck
Ck ⊂ Ωδf .
The sum
can be interpreted as the contribution of the cube
tribution of
(17)
l → ∞.
(ηl )N
each edge
such that both
ω×(−1−δ,+∞)
Ck = (y + k)ηl + (0, ηl )N
kˆi = ki .
in
. Then, possibly extracting a
i,ηl does not cross any edge of Ck , then l ˆ k
with
v y,η → v
√ Wp (∇v) dx + α N ε ,
Z
l→∞
such that
Ck
cηl
such that this
Notice that, in
0
C = Ck0 ,kN +m , m ≥ 1,
(which may happen if such that either
C 0 ⊂ Ωf \ Ω1h ).
Ck ⊂ Ωf \ Ω1h ,
or
δ crosses an edge of Ck ; the other cubes lying in Ωf are called regular
Let
J
be the union of all jump cubes, and
16
R
be the union of all regular
Cf = R ∪ J
cubes (so that
x∈J
implies
is the union of all cubes
0
(x , xN + t) ∈ J
discussion shows that of the cubes of
J
H
κ=1+
Ωδf ).
0
t ≥ 0 as long as (x , xN + t) ∈ Cf .
Then,
The above
N
(∂J ∩ ∂R) is controlled by (N 2 /α)× the contribution R η energy D l , while Wp (∇v ηl (x)) dx is controlled by the R
contributions of the cubes of Let now
contained in
N −1
to the
√
for any
Ck
R
to the same energy.
N maxξ∈ω |∇f (ξ)|,
this constant is such that
Cf + κηl eN ⊃ Ωf as soon as
l
is large enough (so that
clearly holds as soon as
xN > −1
l
(large enough), the function
sup{xN < f (x0 ) : (x0 , xN − κηl ) ∈ R}, vl (x)
xN − κηl > −1 − δ + ηl
which
ηl ≤ δ/(1 + κ)).
We now dene, for any
dene
yields
and for any
fl ∈ BV (ω)
fl (x0 ) =
by
x ∈ ω × (−1, +∞),
we also
by
v ηl (x0 , xN − κηl ) vl (x) = 0 By construction, the boundary of
Ω fl
(in
if
− 1 < xN < fl (x0 )
otherwise.
ω × (−1, +∞))
is a piecewise smooth
compact set made of two parts: one part is contained in the (smooth) graph of
∂Ωf ,
and the rest,
∂Ωfl ∩ Ωf ,
(∂J ∩ ∂R) + κηl eN ,
is a subset of
union of facets of hypercubes. On the other hand,
Z Wp (∇vl (x)) dx + Ω fl We x
α = N 2N .
set of measure
O(ηl ) (the union of the cubes of J
We can now x
vl → v
as
which is a nite
(Ωfl ),
with
α HN −1 (∂Ωfl ∩ Ωf ) ≤ Dηl . N 2N
We now make the observation that
of the cube). Therefore,
f ).
vl ∈ W
1,p
l → ∞,
in
f,
(18)
vl = v ηl (·−κηl eN ) except on a
such that
∂∗ Ωh ∪Σ crosses an edge
1
L (ω × (−1, +∞)) (and,
as well,
fl →
l large enough so that kfl − f kL1 (ω) + kvl − vkL1 (ω×(−1,+∞)) < ε,
and
Z
Wp (∇vl (x)) dx + HN −1 (∂Ωfl ) ≤ Dηl + HN −1 (∂Ωf )
Ω fl
Z ≤
√ Wp (∇u(x)) dx + HN −1 (∂∗ Ωh ) + 2HN −1 (Σ) + (3 + 2N N N )ε
ω×(−1,+∞) where we have used (13), (14), (17) and (18). Observe eventually that if enough, we also have (since
lim inf l→∞ H
N −1
(∂Ωfl ) ≥ H
N −1
(∂Ωf )
l
is large
and using (13))
HN −1 (∂Ωfl ) ≥ HN −1 (∂∗ Ωh ) + 2HN −1 (Σ)) − 2ε . Using now Lemma 4.3, we can nd a smooth close enough to one has
0
fl , in such a way that if v =
f 0 ∈ C ∞ (ω; RN )
vl in Ω0f and
kf 0 − f kL1 (ω) + kv 0 − vkL1 (ω×(−1,+∞)) < 2ε,
17
with
f 0 ≤ fl ,
0 in (ω × (−1, +∞)) \ Ω0f ,
hence both
kf 0 − hkL1 (ω) < 3ε
kv 0 − ukL1 (ω×(−1,+∞)) < 3ε,
and
Z
and
Wp (∇v 0 )) dx + HN −1 (∂Ωf 0 )
Ωf 0
Z
Wp (∇u(x)) dx + HN −1 (∂∗ Ωh ) + 2HN −1 (Σ) + βε,
≤
ω×(−1,+∞)
√
where
β = 4 + 2N N N
is a constant, and, as well,
HN −1 (∂Ωf 0 ) ≥ HN −1 (∂∗ Ωh ) + 2HN −1 (Σ)) − 3ε . Performing this construction for sequences
(fn )n≥1 , (un )n≥1 ,
un → u
L1 (ω × (−1, +∞)),
in
fn ∈ C (ω), un ∈ W 1,p (Ωfn ), fn → h
with
Wp (∇un (x))) dx +
n→∞
yields the existence of two
∞
Z lim sup
ε = 1/n, n ≥ 1,
in
L1 (ω),
Z p 1 + |∇fn (x)|2 dx
Ω fn
ω
Z
Wp (∇u(x)) dx + HN −1 (∂∗ Ωh ) + 2HN −1 (Σ)
≤
(19)
ω×(−1,+∞) and
HN −1 (∂∗ Ωh ) + 2HN −1 (Σ)) ≤ lim inf
Z p
n→∞
The function its gradient is theorem for
un ,
extended with
∇un
GSBV
in
Ω fn
and
0
0
out of
Ω fn ,
1 + |∇fn (x)|2 dx .
(20)
ω is in
GSBV (ω × (−1, +∞)),
and
outside. Invoking now Ambrosio's compactness
functions, we nd that
∇un * ∇u
in
Lp (ω × (−1, +∞); RN ),
so that
Z
Z Wp (∇u(x)) dx ≤ lim inf n→∞
ω×(−1,+∞)
Wp (∇un (x)) dx , ω×(−1,+∞)
which, combined with (19) and (20), yields that
Z
Z
lim
Wp (∇un (x)) dx =
n→∞
lim
n→∞
∇u
in
(−1, 0)).
(21)
ω×(−1,+∞)
Z p 1 + |∇fn (x)|2 dx = HN −1 (∂∗ Ωh ) + 2HN −1 (Σ)) .
(22)
ω
In particular, we deduce from (21) (since to
Wp (∇u(x)) dx ,
ω×(−1,+∞)
p
N
L (ω × (−1, +∞); R ). Modifying
un
1 < p < +∞)
We also nd that
in order to ensure that
that
un → u
un ≡ u0
in
0
∇un
goes strongly
strongly in
ω × (−1, 0)
W 1,p (ω ×
is now not
dicult. A simple way is as follows: we choose a continuous extension operator from
W 1,p (ω ×(−1, 0)) to W 1,p (ω × (−1, +∞)), and dene, for all n, a function wn extension of
(un |ω×(−1,0) − u ).
The sequence in
0
un
Clearly,
wn → 0
strongly in
W
1,p
is then modied in the following way: we replace
Ωfn , letting it keep the value 0 outside.
as before, but, additionally,
un = u0
This new
a.e. in
18
un
as the
(ω × (−1, +∞)). un
with
un − wn
satises the same properties
ω × (−1, 1).
This shows the thesis.
5
An approximation result
We introduce in this section, as in [8], a phase-eld approximation of the functional
F.
Ωh \ Σ
The idea is to represent the subgraph
v
by a eld
that will be an
approximation of the characteristic function of this set, at a scale of order
ε.
Then,
numerically, the minimization of our new functional will provide an approximation of
(u, h)
F.
minimizing
Our approximated functional is the following:
Z
(ηε + v 2 (x))W (∇u(x)) dx
Fε (u, v) = ω×(0,+∞)
+ cV if
Z
ε 2
1 |∇v(x)| dx + ε ω×(0,+∞)
u ∈ W 1,p (ω × (0, +∞))
with
v = 1
on
ω × {0}
2
with
u, v ∈ L (ω × (0, +∞)),
two-wells potentials with
c−1 V =
R1p 2V (t) dt. 0
ε → 0.
u
The function
still denoted by bounded:
u
0
a.e. in
and
except if
ηε
(23)
v ∈ H 1 (ω × (−1, +∞)),
ω × (0, +∞).
Otherwise, for all
V
is a
t ∈ {0, 1}, V (0) = V (1) = 0,
and
Here the potential
is any function of
ε
with
is assumed to be the trace of a function in
ηε /(εp−1 ) → 0 W
1,p
as
(ω×(−1, 0)),
, and for technical reasons we also have to assume that it is
∞
0
ω × {0},
V (v(x)) dx ω×(0,+∞)
Fε (u, v) = +∞.
we let
V (t) > 0
The parameter
0
on
∂N v ≤ 0
and
1
other
u = u0
!
Z
u ∈ L (ω × (−1, 0)).
The following results generalizes in arbitrary
dimension Theorem 3.1 in [8]. However, its proof also owes a lot to [10, Sec. 5.2], where a similar approximation is studied.
Theorem 5.1 0.
Let
(εj )j≥1
be a decreasing sequence of positive numbers, going to
Then
(uj , vj ),
(i) For any
there exist
{v = 1},
u, v
if
lim supj→∞ Fεj (uj , vj ) < +∞,
such that
and there exists
vj → v
then up to a subsequence
1
L (ω × (0, +∞)), uj (x) → u(x)
in
h ∈ BV (ω; R+ )
such that
{v = 1} = Ωh ,
a.e. in
and
F (u, h) ≤ lim inf Fεj (uj , vj ) .
(24)
j→∞
(ii) For any
h ∈ BV (ω; R+ )
ω × (−1, 0) uj → u
and
and
u(x) = 0
vj → χΩh
in
and
u ∈ GSBVp (ω × (−1, +∞))
a.e. in
0
{xN > h(x )},
1
L (ω × (0, +∞)),
there exists
with
u = u0
(uj , vj )
in
such that
and
lim sup Fεj (uj , vj ) ≤ F (u, h) .
(25)
j→∞
This is almost a
(uj , vj ) in
Ωh ,
is a minimizer of
where
Remark 5.2 set
Ωh
Γconvergence
(u, h)
Fεj ,
result. We deduce in particular that if for all
then, up to a subsequence,
minimize the relaxed functional
vj → χΩh
and
uj → u
j,
a.e.
F.
The thesis of the theorem is still valid if (as in [8, Thm 3.1]) the
must satisfy a volume constraint
approximation by a constraint on
vj :
R ω
|Ωh | = V > 0
vj (x) dx = V ).
is easy, see Remark 4.2 above.
19
(which is imposed in the
The adaption of the proofs
Proof of Theorem 5.1.
Fεj (uj , vj )
Since
We rst show the rst point.
is nite,
vj
must be nondecreasing in
v˜j (x) = 0 ∨ ((vj (x) − δj xN ) ∧ 1),
by
Fεj (uj , vj ) = Fεj (uj , v˜j ) + O(1/j), Assume rst that
(0, 1), let hsj
s ∈ 0
x ∈
vj
: ω → R+
|∇0 hsj (x0 )| =
Z
x0 ∈ ω .
xN .
δj
v˜j
is strictly decreasing.
C (ω),
vj
is small enough one can ensure that
v˜j
is smooth in
{0 < v˜j < 1}. 0
v˜j (x
be the function such that
1
be as in (i).
Now, if we replace
if
is smooth, so that
ω , then clearly, hsj is in
for any
and
(uj , vj )
Let
, hsj (x0 ))
= s
For any for any
with
|∇0 v˜j (x0 , hsj (x0 ))| 1 0 ≤ |∇ v˜j (x0 , hsj (x0 ))| s 0 0 |∂N v˜j (x , hj (x ))| δj
Now, we deduce that
|∇0 v˜j (x0 , hsj (x0 ))|2 0 dx ˜j (x0 , hsj (x0 ))| ω |∂N v q Z 1 + |∇0 hsj (x0 )|2 1 dx0 |∇0 v˜j (x0 , hsj (x0 ))|2 δj ω |∇˜ vj (x0 , hsj (x0 ))| Z |∇0 v˜j (x)|2 1 dHN −1 (x) . = δj ∂{˜vj >s} |∇˜ vj (x)| 1 δj
|∇0 hsj (x0 )|2 dx0 ≤
ω
Z
Using the coarea formula, we nd that
Z 0
1
Z
|∇0 hsj (x0 )|2
dx
0
1 δj
ds ≤
ω
Z
|∇0 v˜j (x)|2 dx < +∞ .
{1>˜ vj >0}
By approximation, we easily deduce that this remains true when
1
H (ω × (0, +∞)):
s ∈ (0, 1),
we get that for a.e. level
s represented as the subgraph of a function hj this is true for all
∈ H (ω).
the set
is just in
{˜ vj > s}
can be
We may also assume that
j ≥ 1.
Now, we notice that (using
εj 2
1
vj
Z
a2 + b2 ≥ 2ab
1 |∇˜ vj (x)| dx + εj ω×(0,+∞) Z ≥ 2
and the co-area formula)
Z V (˜ vj (x)) dx ω×(0,+∞)
q 2V (˜ vj (x))|∇˜ vj (x)| dx
ω×(0,+∞)
Z ≥
1
p 2V (s)
Z q 0 s 0 0 2 1 + |∇ hj (x )| dx
(26)
ω
0 and in particular, using Fatou's lemma, we see that
Z 0
1
Z q p 2V (s) lim inf 1 + |∇0 hsj (x0 )|2 dx0 j→∞
≤ lim inf j→∞
ω
εj 2
Z
1 |∇˜ vj (x)| dx + εj ω×(0,+∞) 2
s ∈ (0, 1), hsj ∈ H 1 (ω) q lim inf j→∞ 1 + |∇0 hsj |2 is nite.
In particular, for a.e.
20
!
Z
for all
V (˜ vj (x)) dx ω×(0,+∞)
j ≥ 1
and in addition,
(εj ))
and
limn→∞ sn = 0,
and
By a diagonal argument, we can nd a subsequence (still denoted by a decreasing sequence such that for each
Z q
lim
j→∞
(sn )n≥1
of real numbers in
1 + |∇0 hsj n (x0 )|2 dx0 = lim inf
Z q
j→∞
ω
with
0
sn
xN > h (x )
function is independent on
n
n, hsj n
and
1 + |∇0 hsj n (x0 )|2 dx0 < +∞ .
ω
converges in
V (˜ vj (x)) → 0
and since it is then clear (since
x
with
n,
We can also assume that for each
for a.e.
(0, 1)
ω × (0, +∞))
a.e. in
v˜j (x) → 1
L1 (ω) to some function hsn , x
for a.e.
v˜j (x) → 0
xN < h (x0 ), sn
with
and will be denoted simply by
that
this
h.
sn 0 n For any n ≥ 1, let us denote by uj the function given by uj (x) if xN < hj (x ) n and by 0 otherwise: let us show that (uj )j≥1 is compact in GSBV (ω × (−1, +∞)). s n 1,p One has uj ∈ W ({x : −1 < xN < hj n (x0 )}), hence unj ∈ GSBV (ω × (−1, +∞)) sn 0 0 0 with Sun ⊆ {(x , hj (x )) : x ∈ ω}. In particular, j
H
N −1
is uniformly bounded (in
(
j ).
un j
Z q ) ≤ 1 + |∇0 hsj n (x0 )|2 dx0 ω
On the other hand,
Fεj (uj , v˜j ) ≥ (ηεj +
s2n )
Z
W (∇unj (x)) dx
ω×(0,+∞) showing that
∇unj
is uniformly bounded in
x0 ∈ ω ,
Now, for any
if we denote by
appropriately extended to a function in
1),
one sees that for any
|ˆ unj (x)|
xN
Z ≤
x
xN
0
M ∧hsj n (x0 )
W
1,p
u ˆnj
the function
unj − u0
(where
u0
is
(ω × (−1, +∞)) that vanishes for xN ≥
hsj n (x0 ),
0 so that for any
Lp (ω × (−1, +∞); RN ).
≤
1−1/p xN
Z
xN
|∂N u ˆnj (x0 , s)|p
1/p ds ,
0
x0 ∈ ω ,
and a.e.
M 2−1/p ≤ 21−1/p
|ˆ unj (x0 , s)| ds
0
Z
hsj n (x0 )
!1/p |∂N u ˆnj (x0 , s)|p
ds
.
0
We get
kˆ unj kL1 (ω×(−1,M )) ≤ C(M )k∂N u ˆnj kLp (ω×(−1,+∞)) . Therefore,
unj = u ˆnj + u0
is uniformly bounded in
L1loc (ω × (−1, +∞)).
sio's compactness theorem we deduce that there exists such that
unj (x) → un (x)
a.e. in
ω × (−1, +∞),
By Ambro-
un ∈ GSBVp (ω × (−1, +∞))
up to a subsequence.
By a diagonal argument, we can extract a subsequence (still denoted by such that as
εj → 0,
for each
n≥
0, unj (x)
n
→ u (x)
n0 construction we have that if n ≥ n, then uj (x) = n0 n from this we deduce that u (x) = u (x) a.e. in {xN 0
one checks easily that both functions vanish a.e. in
u
n
, which is simply denoted by
u
almost everywhere. Now, by
unj (x)
a.e. in
{xN < hnj (x0 )}:
< h(x0 )},
and since moreover
0
one deduces that
{xN > h(x )}
in the sequel, is independent on
21
(εj )j≥1 )
n.
We have shown the rst assertion of point (i) of the Theorem: indeed, if we let
v = χΩh , one sees that v˜j (x) → v(x) a.e., and by construction also vj (x) → v(x) a.e. ω × (0, +∞).
in
with
u=u
0
in
uj (x) → u(x)
Moreover,
ω×(−1, 0).
above the graph of
a.e. in
{x ∈ ω × (−1, +∞) : xN < h(x)},
u is in GSBVp (ω × (−1, +∞)) and vanishes
The function
h.
Let us now show (24). We follow a similar proof in [10]. We have
Z (ηεj +
v˜j2 (x))W (∇uj (x)) dx
Z ≥
ω×(0,+∞)
v ˜j (x)
Z 2 0
ω×(0,+∞) 1
Z ≥
s ds W (∇uj (x)) dx !
Z 2s
W (∇uj (x)) dx
ds .
{˜ vj (x)>s}
0 This inequality, together with (26), yields
Fεj (uj , v˜j ) ≥ Z 1 Z 2s
Z q p 1 + |∇0 hsj (x0 )|2 dx0 W (∇uj (x)) dx + cV 2V (s)
{˜ vj (x)>s}
0
! ds .
ω
By Fatou's lemma, we deduce that
1
Z
lim inf 0
Z q p 1 + |∇0 hsj (x0 )|2 dx0 W (∇uj (x)) dx + cV 2V (s)
Z 2s
j→∞
{˜ vj (x)>s}
j→∞
lim inf 2s
W (∇uj (x)) dx + cV {˜ vj (x)>s}
Z q p 2V (s) 1 + |∇0 hsj (x0 )|2 dx0 < +∞ . ω
Let us choose such a consider a subsequence
s,
with additionnally
(jk )k≥1
W (∇ujk (x)) dx + cV {˜ vjk (x)>s}
and let us
Z q p 2V (s) 1 + |∇0 hsjk (x0 )|2 dx0
{˜ vj (x)>s}
ω
As above, let us introduce the sequence of functions
usjk (x) = ujk (x)
easily check that
j ≥ 1,
Z q p W (∇uj (x)) dx + cV 2V (s) 1 + |∇0 hsj (x0 )|2 dx0 .
= lim inf 2s
such that
for all
ω
Z j→∞
hsj ∈ H 1 (ω)
such that
Z lim 2s
k→∞
(27)
s ∈ (0, 1),
Z j→∞
ds
ω
≤ lim inf Fεj (uj , v˜j ) < +∞ . Therefore for a.e.
!
if
xN < hsjk (x0 )
ujk (x) → u(x)
a.e. in
and
0
usjk ∈ GSBVp (ω × (−1, +∞))
otherwise. By compactness, we
ω × (−1, +∞),
while
P1), we deduce
hsjk → h
in
L1 (ω).
By
the lower semicontinuity property (
Z 2s Ω+ h
W (∇u) + cV
p 2V (s)(HN −1 (∂∗ Ωh ) + 2HN −1 (Su0 ∩ Ω1h ))
Z ≤ lim 2s k→∞
{˜ vjk (x)>s}
Z q p 1 + |∇0 hsjk (x0 )|2 dx0 . W (∇ujk (x)) dx + cV 2V (s) ω
22
Integrating then (27) on
Fεj (uj , vj ) + o(1),
(0, 1)
and recalling that by construction,
Fεj (uj , v˜j ) =
we deduce (24).
Let us now show point (ii) of Theorem 5.1. The proof follows the lines in [8], where the same inequality is shown in the 2D case, and we will only sketch it.
h ∈ BV (ω; R+ )
Let
(−1, 0)
and
u(x) = 0
there exists
1
n
h →h
in
hn 1
in
L (ω)
and let
0
{xN > h(x )},
a.e. in
C (ω; R+ )
and
u ∈ GSBVp (ω × (−1, +∞)),
n
u →u
and
n
u ∈W
with
1,p
F (u, h) < +∞.
(Ωh ; R),
ω × (0, +∞),
a.e.in
with
with
n
u = u0
in
ω×
By Theorem 2.2,
u = u0
in
ω × (−1, 0),
with
lim sup F (un , hn ) = F (u, h) . n→∞ By construction (since we have assumed
∞
n
u ∈L in
u0 ∈ L∞ (ω × (−1, 0))),
L1 (ω
(ω ×(0, +∞)). Now, we construct sequences (unj )j and × (0, +∞)) vjn → χωhn in L1 (ω × (0, +∞)) such that
one also has that
(vjn )j with
unj → un
lim sup Fεj (unj , vjn ) ≤ F (un , hn ).
(28)
j→∞
Let us condider the sequence of functionals
Hε (v) = the
ε 2
Z
|∇v(x)|2 dx +
ω×(0,+∞)
1 ε
Z V (v(x)) dx; ω×(0,+∞)
Γ-convergence result of Modica and Mortola for such functionals (see [1]) allows
us to nd, for each
χΩhn
n,
a sequence
(vjn )j
converging to the characteristic function
such that
lim sup Hεj (vjn )
Z =
j→∞
1
p
2V (s) ds HN −1 (Sχωhn ∩ ω × (0, +∞))
0 −1 N −1 cV H (∂Ωhn ).
=
We recall that the explicit construction of the recovery sequence obtained in the following way: one considers
γj
(vjn )j
can be
solution of the Euler's equation of
the functional with appropriate boundary conditions, namely:
−γj00 + V 0 (γj ) = 0 1 γj (0) = 1, γj √ = 0. εj This function is extended by
0
vjn (x) = γj Then, the sequence
(unj )j
√ 1/ εj .
beyond
One then lets:
dist(x, Ω+ ) hn . εj
is constructed by translating
an appropriate cut-o function, as in [8]. We rst choose and let
wjn (x) := vjn (x0 , xN − cn
p 2εj ).
vanishes shortly beyond. Then, we let
un ,
and multiplying by
cn ≥ max{1, k∇hn kL∞ (ω) }
1 on the support of vjn , p unj (x) = un (x0 , xN − 2cn 2εj )wjn (x).
This function is
23
and (As
in the end of the proof of Proposition 4.1, we have to modify slightly
n to ensure uj
=u
0
ω × (−1, 0),
in
unj
in order
however, this is easily done, and one checks that
j ) L∞
n this modied uj satises a uniform (in
bound.) In order to show that (28)
holds, we just need to check
Z
(ηεj + (vjn (x))2 )W (∇unj (x)) dx ≤
lim sup j→∞ Since
Z
∇unj (x) = wjn (x)∇un (x0 , xN − 2cn
W (∇un (x)) dx .
(29)
Ω+ hn
ω×(0,+∞)
p p 2εj ) + un (x0 , xN − 2cn 2εj )∇wjn (x), this
inequality is clear as soon as we have established that
Z
|un (x0 , xN − 2cn
lim sup ηεj j→∞
and since
u
n
p 2εj )∇wjn (x)|p dx = 0
ω×(0,+∞)
is bounded in
L∞ ,
we need to show
Z
|∇wjn (x)|p dx = 0 .
lim sup ηεj j→∞
ω×(0,+∞)
This integral is bounded by
|γj0 |p
Z √ {0