ESAIM: Control, Optimisation and Calculus of Variations
Vol. 13, No 2, 2007, pp. 396–412 www.edpsciences.org/cocv
DOI: 10.1051/cocv:2007015
A RELAXATION RESULT IN BV FOR INTEGRAL FUNCTIONALS WITH DISCONTINUOUS INTEGRANDS
Micol Amar
1, Virginia De Cicco
1and Nicola Fusco
2Abstract. We prove a relaxation theorem in BV for a non coercive functional with linear growth. No continuity of the integrand with respect to the spatial variable is assumed.
Mathematics Subject Classification. 49J45, 26B30.
Received November 11, 2005. Revised March 28, 2006.
1. Introduction
In this paper we study the relaxation in BV(Ω) of an integral functional of the type F(u) =
Ωf(x, u(x),∇u(x)) dx, whereuis a scalar function fromW1,1(Ω).
In recent years there has been a renewed interest in the L1-lower semicontinuity of such an integral functional and of its BV counterpart
F(u) =
Ωf(x, u,∇u)dx+
Ωf∞
x,u, Dcu
|Dcu|
d|Dcu|+
Ju∩Ω
u+(x)
u−(x) f∞(x, s, νu) ds
dHN−1(x)
with the aim of weakening the regularity assumptions on the integrandf with respect to the spatial variablex(see [7–9, 18, 20, 21]). Roughly speaking, one can show that the L1-lower semicontinuity still holds if one replaces the classical continuity and coerciveness assumptions with the weak differentiability off with respect tox. Therefore the results proved in the above papers suggest that a similar assumption should be also enough to prove that the relaxation in BV of the functionalF is represented by F.
In this paper we prove that this representation formula actually holds (see Th. 6.1) under the assumption that for all (s, ξ) ∈ IR×IRN the functionf(·, s, ξ) is weakly differentiable and coincides HN−1-a.e. with its precise representative, i.e., it is HN−1-a.e. approximately continuous in Ω. Notice that though the functional F does not change its values if we modify f in a subset of zero Lebesgue measure of Ω, this modification may affect the values ofF on BV(Ω). Therefore, if f is not assumed to beHN−1-a.e. approximately continuous with respect to x, then it is not true in general that the relaxation ofF is represented by F. On the other hand the approximate continuity alone is not enough to assure the relaxation result, as shown in a counterexample given in [1]. In that
Keywords and phrases. Lower semicontinuity, relaxation, BV-functions, blow-up.
1 Dipartimento di Metodi e Modelli Matematici, via A. Scarpa 16, 00161 Roma, Italy;[email protected];
2 Dipartimento di Matematica e Applicazioni Monte Sant’Angelo, via Cintia, 80126 Napoli, Italy;[email protected]
c EDP Sciences, SMAI 2007
Article published by EDP Sciences and available at http://www.edpsciences.org/cocvor http://dx.doi.org/10.1051/cocv:2007015
paper the representation formula proved here has been obtained in the particular case where the integrand admits a separate dependence on the spatial and the gradient variables. In that case the authors prove the relaxation result by suitably refining the techniques introduced in [5] through the use of a new Reshetnyak-type theorem which applies only to measures which are gradients of BV-function, but does not require the continuity of the integrand.
Unfortunately, this technique does not work for a general integrand like the ones considered here.
Thus, we have to follow another approach to relaxation by using the blow-up technique introduced by Fonseca and M¨uller in [16] and [17] (see also [3]). However, in all these papers the use of this technique relies strongly on the continuity of the integrand with respect to x, an assumption that here is replaced by theHN−1-a.e. approximate continuity and weak differentiability inx.
This fact introduces some relevant difficulties and requires a delicate study of the approximate continuity of (N−1)-dimensional restrictions of BV-functions. Differently from the usual continuity, the approximate continuity is not inherited by the sections of measurable functions. However, in the first part of this paper we prove that given a HN−1-almost everywhere approximately continuous BV-function, its sections keep the same property, as long as we restrict them to a countablyHN−1-rectifiable set whose normal is “never” orthogonal to the hyperplane with respect to whom the sections are taken (see Th. 4.6). This theorem is the main tool needed for dealing with the jump part of the functionalvia the blow-up technique. More precisely, given a jump point x0 of a BV-functionu, we study the behaviour of the integrand on the tangent hyperplane Π to the jump set atx0. If the restriction of the integrand to Π is not approximately continuous, we have to approximate Π with a sequence of “good” hyperplanes (where the restriction of f is approximately continuous). In fact, in Proposition 6.5 we prove that this property holds at HN−1-pointx0of the jump set ofu.
The paper is organized as follows: Section 2 is devoted to notations; in Section 3 we recall some properties of BV-functions and some results of geometric measure theory needed for the sequel. In Section 4 we carry on a thorough analysis of the fine properties of the (N−1)-dimensional sections of BV-functions. In Section 5 we set the problem and state some technical lemmas; moreover, we discuss some properties of the recession function that do not follow from the corresponding ones of integrand (see Ex. 5.3). Finally, in Section 6 we state and prove our main result, i.e., the relaxation theorem.
2. Notation
Throughout the paper,N ≥2 is a fixed integer and the lettercdenotes a strictly positive constant, whose value may vary from line to line. Given x0∈IRN andρ >0,Bρ(x0) denotes the ball in IRN centered inx0 with radius ρ, while SN−1is the unit sphere of IRN.
Let Ω be a bounded open set in IRN. We denote byA(Ω) the family of all bounded open subsetsA of Ω and by B(Ω) the σ-algebra of all Borel subsets B of Ω. Moreover,M(Ω; IRN) is the space of the IRN-valued Radon measures on Ω; in particular,M(Ω) :=M(Ω; IR).
As usual,LN stands for the outer Lebesgue measure on IRN andHk for the k-dimensional Hausdorff measure on IRN. The Lebesgue measure of the unit ball in IRN is denoted byωN, henceLN(Bρ(x0)) =ωNρN.
Given a directionν ∈SN−1, every point x∈IRN can be decomposed as x= (x⊥ν, xν), withxν =x, νν and x⊥ν =x−xν. By πν⊥ we denote the projection of IRN onto the plane through the origin orthogonal toν and πν denotes the projection of IRN over the line through the origin in the directionν. We shall often identifyπν⊥(IRN) with IRN−1 and πν(IRN) with IR, so that, for instance, the HN−1-measure on πν⊥(IRN) will be identified with LN−1. Finally, if E is a given subset of IRN, we set
Ex⊥ν ={xν∈πν(E) : (x⊥ν, xν)∈E} and Exν ={x⊥ν ∈πν⊥(E) : (x⊥ν, xν)∈E}.
Similarly, ifg: IRN →IR is a given function, for everyx⊥ν ∈IRN−1, we denote bygx⊥ν the restriction of the function g to IR;i.e., the functionxν ∈IR→g(x⊥ν, xν); for everyxν ∈IR, the restrictiongxν is defined analogously.
Whenν = eN, we simply write πN−1,π1, (x, y),Ex,Ey, gx, gy, instead ofπe⊥
N,πeN, (x⊥eN, xeN),Ex⊥e
N,Exe
N, gx⊥e
N,gxe
N.
3. Basic properties of BV -functions and a coarea formula
Letu∈L1loc(Ω); we say thatuhas anapproximate limitatx∈Ω if there existsz∈IR such that
εlim→0+−
Bε(x)|u(y)−z|dx= 0, where −
Bε(x) stands for LN(B1ε(x))
Bε(x). Let Su be the set of points where the previous property does not hold, the so-calledapproximate discontinuity set. Note that it is a Borel set. Ifx∈Su,z is uniquely determined, it is called theapproximate limitofuatxand it is denoted byu(x). We recall that u: Ω\Su→IR is a Borel function.
We say thatuisapproximately continuousatxifx∈Suandu(x) =u(x). Clearly, xis a point of approximate continuity of u if and only if is a Lebesgue point of u and since LN-almost every x ∈ Ω is a Lebesgue point, LN(Su) = 0. Notice that in general the above definition of approximate continuity is stronger than the usual one given by Federer (see [13]). However, ifu∈L∞loc(Ω) the two notions agree.
We say that x0 ∈Su is an approximate jump pointofuif there exist a, b∈IR and ν ∈SN−1, such thata=b and
εlim→0+−
Bε+(x0,ν)|u(x)−a|dx= 0, lim
ε→0+−
B−ε(x0,ν)|u(x)−b|dx= 0,
whereB±ε(x0, ν) =x0+εBν± andBν±={x∈B1(0) :x, ν≷0}. The triplet (a, b, ν), uniquely determined by the previous definition up to a permutation of a, band a change of sign ofν, is denoted by (u+(x0), u−(x0), νu(x0)).
We adopt the convention thatu+(x0)> u−(x0). The set of approximate jump points is denoted by Ju and is a Borel set. The quantityu+−u− is the jump ofuacross the interfaceJu andνu is the direction of the jump.
The space BV(Ω) is defined as the space of all functions u: Ω →IR belonging to L1(Ω) whose distributional gradientDuis an IRN-valued Radon measure (i.e.,Du∈ M(Ω; IRN)) with total variation|Du|bounded in Ω. We indicate byDauand Dsutheabsolutely continuousand the singular part of the measureDu with respect to the Lebesgue measure. We recall thatDauandDsuare mutually singular, moreover we can write
Du=Dau+Dsu and Dau=∇uLN,
where∇uis theRadon-Nikod´ym derivativeofDauwith respect to the Lebesgue measure. In particular, Dsu=Dcu+ (u+−u−)νuHN−1 Ju
andJu is acountablyHN−1-rectifiableBorel set (see [2], Def. 2.57) contained inSu, such thatHN−1(Su\Ju) = 0.
The remaining partDcuis called the Cantor partofDu.
Remark 3.1. Since, for everyu∈BV(Ω), Ju is a countably HN−1-rectifiable set, henceσ-finite with respect to HN−1, it follows that the set
{ν ∈SN−1 : HN−1({x∈Ju : νu(x) =±ν})>0}
is at most countable.
Finally, we define theprecise representativeof a functionu∈∈L1loc(Ω) as
u∗(x) =
⎧⎪
⎨
⎪⎩
u(x) ifx∈Ω\Su u+(x)+u−(x)
2 ifx∈Ju
0 ifx∈Su\Ju.
Clearly,u∗: Ω→IR is a Borel function coincidingLN-almost everywhere withuandu.
Let us recall that if S ⊂IRN is a countably HN−1-rectifiable set, then for HN−1-a.e. x∈S there exists the approximate tangent planeπxStoSatx(see [2], Th. 2.83). A unit vector orthogonal toπSx is called anapproximate
normal to S at xand denoted by νS(x). Notice that if S is the jump setJu of some BV function u, then ([2], Th. 3.59)νJu(x) =±νu(x) forHN−1-a.e. x∈Ju.
Let 1 ≤ k ≤ N−1 be a given integer. By πk,N : IRN → IRk we denote the projection of IRN over the first k components. The formula (3.1) below is a consequence of the general coarea formula for rectifiable set [2], Theorem 2.93, and will be used in the sequel. For the reader’s convenience we give an explicit proof.
Theorem 3.2. LetSbe a countablyHN−1-rectifiable subset ofIRN andg: IRN →[0,+∞]a Borel function. Then, for any integer1≤k≤N−1,
Sg(x) N
i=k+1
|νS(x), ei|2dHN−1(x) =
IRkdt
πk,N−1(t)∩Sg(x) dHN−k−1(x). (3.1) Proof. From the coarea formula for rectifiable sets [2], Theorem 2.93 we have that
Sg(x)CkLxdHN−1(x) =
IRkdt
πk,N−1(t)∩Sg(x) dHN−k−1(x), (3.2) where
CkLx:=
det(Lx◦L∗x),
Lx:πSx →IRk is the differential ofπk,N onS atxandL∗x is the adjoint of the linear mapLx.
Let us denote by{τ1, . . . , τN−1}an orthonormal base forπSx; thus,{τ1, . . . , τN−1, νS(x)}is an orthonormal base for IRN. Denoting by (aij) thek×kmatrix representing the linear mapLx◦L∗xwith respect to the standard base in IRk, we get that
aij=
N−1 h=1
τh, eiτh, ej for alli, j= 1, . . . , k.
Writing, for alli, j,ei=
N−1 h=1
τh, eiτh+νS(x), eiνS(x), we get
δij=ei, ej=
N−1 h=1
τh, eiτh, ej+νiSνjS,
hence
aij =δij−νiSνjS for alli, j= 1, . . . , k.
From this formula it follows that
CkLx=
det (I−ν⊗ν),
where Iis thek×kidentity matrix andν= (ν1S(x), . . . , νkS(x)). The assertion then follows by observing that
det (I−ν⊗ν) = 1− |ν|2= N i=k+1
|νiS|2. (3.3)
For a general survey on measures and BV-functions we refer to [2, 12, 13, 19, 22].
4. Sections of BV-functions
In this section we state some fine properties of BV-functions, which will be needed in the sequel.
Lemma 4.1. Let g: Ω→IR be a Borel function. Assume thatg∈L1loc(Ω)and set G∗:=
(x, y)∈Ω\Sg : lim
ε→0+−
Q(x,ε)|g(z, y)−g∗(x, y)|dz= 0
,
whereQ(x, ε) :=x+εQ andQ= (−1/2,1/2)N−1. Then G∗ is a Borel set.
Proof. Notice thatG∗=G1∩G2, where G1:=
(x, y)∈Ω\Sg: there exists z∈IR such that lim
ε→0+−
Q(x,ε)|g(z, y)−z|dz= 0
and
G2:=
(x, y)∈Ω\Sg: lim
ε→0+−
Q(x,ε)g(z, y) dz=g∗(x, y)
.
We claim thatG1 is a Borel set. In fact, consider a dense sequence{qi} ⊂IR and, for everyi, j∈IN, set Gij =
(x, y)∈Ω : lim sup
ε→0+ −
Q(x,ε)|g(z, y)−qi|dz< 1 j
.
It is not difficult to check that if h : IRN → IR is a locally summable Borel function, then also (x, y) →
−
Q(x,ε)h(z, y)dz is a Borel function for any ε > 0. From this fact we get immediately that each Gij is a Borel set, and since
G1= ∞ j=1
∞ i=1
Gij,
our claim follows. On the other hand, since for any ε >0 the function (x, y)→ −
Q(x,ε)g(z, y)dz is Borel, we
easily get that alsoG2 is a Borel set. This concludes the proof.
Lemma 4.2. ([2], Th. 3.108) Let g ∈BV(Ω) be a given function. Then, forLN−1-almost every x ∈πN−1(Ω), the functiongx belongs to BV(Ωx). Moreover Jg
x = (Jg)x and(g∗)x(y) = (gx)∗(y)for every y∈Ωx \(Jg)x. In particular, if (Jg)x =∅, then (g∗)x(y) = (gx)∗(y)for every y∈Ωx and both functions (g∗)x and(gx)∗ are continuous in Ωx.
Lemma 4.3. Letg∈BV(Ω)be a given function. Then, forL1-almost everyy∈π1(Ω), the functiongy belongs to BV(Ωy).
Proof. IfN = 2, the property follows by Lemma 4.2. IfN >2, the property can be easily obtained following the
proof of [2], Theorem 3.103.
In the next two lemmas we assumeN >2. For everyx= (x, y)∈IRN, we set ˆ
xi = (x1, . . . , xi−1, xi+1, . . . , xN−1)∈IRN−2
and write, for the sake of simplicity,x= (xi,ˆxi, y). Moreover, ifE is a given set, withExˆiy we denoteEx⊥ν, with ν = ei; a similar notation will be used also for functions.
Lemma 4.4. Let g ∈ BV(Ω) be a given function. Then there exists a set N0 ⊂ IR with L1(N0) = 0 with the following property: for every y ∈ IR\N0, gy ∈ BV(Ωy) and, for every i = 1, . . . , N −1, there exists a set Niy ⊂IRN−2 with LN−2(Niy) = 0such that, for every ˆxi∈IRN−2\Niy we have thatgˆxiy∈BV(Ωxˆiy)and
(Sgy)xˆ i =Jg
xˆi y
(4.1) [(gy)∗]xˆ
i(xi) = (gˆx
iy)∗(xi) for every xi∈Ωxˆiy\Jg
ˆ x
i y
. (4.2)
Proof. For the sake of simplicity, assume Ω = IRN. By Lemma 4.3 there existsN0⊂IR withL1(N0) = 0 such that for everyy∈IR\N0we have thatgy∈BV(IRN−1),Jgy is a countablyHN−2-rectifiable set andHN−2(Sgy\Jgy) = 0.
Moreover, by Theorem 3.2, we have that, for every i= 1, . . . , N−1, 0 =
Sgy\Jgy|νSgy, ei|dHN−2=
IRN−2H0((Sgy \Jgy)ˆx i) dˆxi
so that there exists a set N1iy ⊂ IRN−2 with LN−2(N1iy) = 0, such that for every ˆxi ∈ IRN−2 \N1iy we have (Sgy \Jgy)ˆx
i=∅;i.e.,
(Sgy)ˆx
i = (Jgy)ˆx
i. (4.3)
Moreover, by Lemma 4.2 applied to gy, we have that for everyy ∈IR\N0 and for everyi= 1, . . . , N −1, there exists a set N2iy ⊂IRN−2 withLN−2(N2iy) = 0, such that for every ˆxi∈IRN−2\N2iy we have thatgxˆ
iy∈BV(IR) and
(Jgy)ˆx i =Jg
xˆiy
. (4.4)
[(gy)∗]xˆ
i(xi) = (gxˆ
iy)∗(xi) for everyxi∈IR\Jg
ˆ x
i y
. (4.5)
Finally, for everyy∈IR\N0and for everyi= 1, . . . , N−1, setNiy=N1iy∪N2iy ⊂IRN−2, so thatLN−2(Niy) = 0 and for every ˆxi∈IRN−2\Niy we have that (4.3), (4.4) and (4.5) hold. Hence the assertion follows.
Lemma 4.5. Let g ∈BV(Ω)be a function which is approximately continuous inHN−1-almost every point ofΩ.
Then there exists a set M0⊂IRwith L1(M0) = 0with the following property: for every y∈IR\M0,gy ∈BV(Ωy) and, for every i = 1, . . . , N −1, there exists a set Miy ⊂ IRN−2 with LN−2(Miy) = 0 such that, for every ˆ
xi∈IRN−2\Miy we have thatgxˆiy ∈BV(Ωxˆiy)and Jg
ˆxi y
= (Sg)xˆ
iy= (Jg)xˆ
iy =∅, (4.6)
(gxˆ
iy)∗(xi) = (g∗)xˆiy(xi) for everyxi∈Ωxˆiy (4.7) and both functions are continuous.
Proof. As before, we assume for simplicity Ω = IRN. By assumption we have that HN−1(Sg) = 0, thus from Theorem 3.2 we get that for everyi= 1, . . . , N−1
0 =
Sg|νSg, ei|dHN−1=
IRN−1H0((Sg)xˆiy) dˆxi dy.
Therefore there exists M1i ⊂ IRN−1, with LN−1(M1i) = 0, such that for every (ˆxi, y) ∈ IRN−1 \M1i we have (Sg)xˆ
iy=∅. Set
M1={y∈IR :LN−2((M1i)y)>0 for at least one index i= 1, . . . , N−1}.
Then, by Fubini’s theorem
0 =LN−1(M1i) =
IRLN−2((M1i)y) dy,
so that LN−2((M1i)y) = 0 for a.e. y ∈ IR; i.e., L1(M1) = 0. Moreover, for every y ∈ IR\M1 and every ˆ
xi∈IRN−2\(M1i)y, recalling that (Jg)ˆx
iy ⊆(Sg)xˆ
iy, we have (Sg)xˆ
iy= (Jg)ˆx
iy =∅. (4.8)
By Lemma 4.2 we have that for everyi= 1, . . . , N−1, there exists a setM2i ⊂IRN−1 withLN−1(M2i) = 0, such that for every (ˆxi, y)∈IRN−1\M2i we have thatgˆx
iy∈BV(IR) and Jg
ˆxiy = (Jg)xˆ
iy, (4.9)
(g∗)xˆiy(xi) = (gˆx
iy)∗(xi) for everyxi∈IR\(Jg)xˆ
iy. (4.10)
Set
M2={y∈IR :LN−2((M2i)y)>0 for at least one index i= 1, . . . , N−1}.
As before, Fubini’s theorem implies that L1(M2) = 0. Thus for anyy∈IR\M2 and any ˆxi ∈IRN−2\(M2i)y we obtain that (4.9) and (4.10) hold. Finally, setM0=M1∪M2⊂IR andMiy = (M1i)y∪(M2i)y, so thatL1(M0) = 0 and, for everyy∈IR\M0,LN−2(Miy) = 0. Moreover, for everyy∈IR\M0, by (4.8), (4.9) and (4.10) we have
∅= (Sg)ˆx
iy= (Jg)xˆ
iy=Jgxˆiy,
(g∗)xˆiy(xi) = (gxˆiy)∗(xi) for everyxi∈IR
and by Lemma 4.2 both functions are continuous.
Next theorem states that given aHN−1-a.e. approximately continuousBV functiong, its (N−1)-dimensional sections are still HN−1-a.e. approximately continuous along a countablyHN−1-rectifiable set whose normals are
“never” orthogonal to the direction in which the sections are taken.
Theorem 4.6. Let g∈BV(Ω)be a Borel function which is approximately continuous in HN−1-almost every point of Ω. Set
G=
(x, y)∈Ω\Sg: lim
ε→0+−
Q(x,ε)|g(z, y)−g(x, y)|dz= 0
.
Let S ⊂ Ω be a countably HN−1-rectifiable set such that HN−1({x ∈ S : νS(x) = ±eN}) = 0. Then HN−1(S\G) = 0.
Proof. Again, we assume for simplicity that Ω = IRN.
Sinceg is approximately continuousHN−1-a.e., the thesis will be achieved if we prove thatHN−1(S\G∗) = 0, whereG∗ is the set defined in Lemma 4.1. To this aim, let us first assume thatN >2.
Following the notation used in Lemmas 4.4 and 4.5 let us takey∈IR\(N0∪M0) and for everyi= 1, . . . , N−1, ˆ
xi∈IRN−2\(Niy∪Miy). Then by (4.1) and (4.6) we obtain (Sg)xˆ
iy = (Sgy)xˆ i =∅
so that, for everyxi ∈IR we have thatxi∈(Sg)xˆiy, (i.e.,x= (xi,xˆi, y)∈Sg) andxi ∈(Sgy)xˆi (i.e.,x= (xi,xˆi)∈ Sgy). Hence, xis a point whereg has an approximate limit andx is a point wheregy has an approximate limit.
Moreover by (4.2) and (4.7) it follows that (gy)∗(x) = (g∗)ˆxiy(xi) =g∗(x),i.e.,
εlim→0+−
Q(x,ε)|g(z, y)−g∗(x)|dz= lim
ε→0+−
Q(x,ε)|g(z, y)−(gy)∗(x)|dz = 0, which implies that x ∈ G∗; i.e., xi ∈ G∗xˆ
iy. In particular we obtain that, for every y ∈ IR\(N0∪M0), every i= 1, . . . , N−1 and every ˆxi ∈IRN−2\(Niy∪Miy)
G∗ˆx
iy = IR. (4.11)
Since|νSy|= 1, from Theorem 3.2 and (4.11) we obtain HN−2((S\G∗)y) =
N−1 i=1
(S\G∗)y
|νSy, ei|2dHN−2≤
N−1 i=1
(S\G∗)y
|νSy, ei|dHN−2
=
N−1 i=1
IRN−2H0([(S\G∗)y]xˆi) dˆxi=
N−1 i=1
IRN−2H0((S\G∗)ˆxiy) dˆxi= 0, which impliesHN−2((S\G∗)y) = 0 for everyy∈IR\(N0∪M0). Finally, using again Theorem 3.2, we obtain
S\G∗
1− |νS, eN|2dHN−1=
IRHN−2((S\G∗)y) dy= 0.
Therefore, taking into account the assumption made onS, we haveHN−1(S\G∗) = 0.
IfN = 2, we apply the coarea formula (3.1) again, thus getting
S\G∗|νS, e1|dH1=
IRH0((S\G∗)y) dy= 0,
where the last equality holds sinceH1(Sg) = 0 implies (Jg)y =∅forL1-almost everyy∈π1(Ω) and, by Lemma 4.2, (g∗)y(x) = (gy)∗(x) for allx∈Ωy and forL1-almost everyy∈π1(Ω). Hence, the assertion follows.
Remark 4.7. Clearly, Theorem 4.6 still holds if we replace eN by a generic directionν. More precisely, given any direction ν∈SN−1, set
Gν =
x= (x⊥ν, xν)∈Ω\Sg: lim
ε→0+−
Q⊥ν(x,ε)|g(zν⊥, xν)−g(x⊥ν, xν)|dz⊥ν = 0
,
where Q⊥ν(x, ε) = πν⊥(x+εQν), Qν = Rν(−1/2,1/2)N and Rν denotes a rotation such that RνeN =ν. Then HN−1(S\Gν) = 0 for every countablyHN−1-rectifiable subsetSof Ω, such thatHN−1({x∈S:νS(x) =±ν}) = 0.
5. Setting of the problem
Letf : Ω×IR×IRN →IR be a Borel function satisfying the following conditions:
⎧⎪
⎪⎪
⎪⎪
⎨
⎪⎪
⎪⎪
⎪⎩
(i) f(·, s, ξ)∈W1,1(Ω),for every (s, ξ)∈IR×IRN;
(ii) f(·, s, ξ) is approximately continuousHN−1-a.e.in Ω,for every (s, ξ)∈IR×IRN; (iii) for every bounded set B⊂IR×IRN there exists a constantL(B) such that
Ω|∇xf|(x, s, ξ) dx < L(B) ∀(s, ξ)∈B.
(5.1)
Remark 5.1. Notice that assumption (ii) of (5.1) seems redundant, since everyW1,1-function admits aHN−1-a.e.
approximately continuous representative. Moreover, the functional in (5.5) is clearly not affected by the choice of the representative. However, functional (5.6) does depend on the particular representative chosen. Therefore, the representation formula provided by Theorem 6.1 below does not hold if we take a representative of f not satisfying (ii).
We will assume that
f(x, s,·) is convex for every (x, s)∈Ω×IR; (5.2)
|f(x, s, ξ)−f(x, s0, ξ)| ≤Λ 1 +|ξ|
|s−s0| for every (x, s, ξ),(x, s0, ξ)∈Ω×IR×IRN; (5.3) 0≤f(x, s, ξ)≤Λ(1 +|ξ|) for every (x, s, ξ)∈Ω×IR×IRN, (5.4)
for some positive Λ. From (5.2) and (5.4), it follows thatf is Lipschitz continuous in the last variable, uniformly with respect to (x, s).
For everyA∈ A(Ω) and everyu∈BV(Ω), we define
F(u, A) =
⎧⎪
⎪⎨
⎪⎪
⎩
Af(x, u,∇u) dx ifu∈W1,1(Ω)
+∞ ifu∈BV(Ω)\W1,1(Ω).
(5.5)
Our aim is to prove an integral representation theorem for the relaxationF ofF, with respect to theL1-topology.
We recall that the relaxation ofF is the greatest lower semicontinuous functional not greater thanF;i.e., F(u,Ω) := inf{lim inf
n→+∞F(un,Ω) : un ∈W1,1(Ω), un →uin L1(Ω)}. Among the main properties of the relaxation, we recall the following ones:
(i) for everyA∈ A(Ω),F(·, A) is lower semicontinuous with respect to theL1-topology;
(ii) for everyA∈ A(Ω),F(·, A) is local;i.e., for everyu, v∈BV(Ω), withu=vonA,F(u, A) =F(v, A);
(iii) for everyu∈BV(Ω), F(u,·) is aσ-additive measure onB(Ω).
For other properties of the relaxation we refer to [4, 6, 10, 11].
We set, for everyA∈ A(Ω) and everyu∈BV(Ω), F(u, A) =
Af(x, u,∇u) dx+
Af∞
x,u, Dcu
|Dcu|
d|Dcu|+
Ju∩A
u+(x)
u−(x)f∞(x, s, νu) ds
dHN−1(x), (5.6)
wheref∞: Ω×IR×IRN →IR is the so-calledrecession function off, defined by f∞(x, s, ξ) = lim
t→+∞
f(x, s, tξ)
t = sup
t>0
f(x, s, tξ)−f(x, s,0)
t · (5.7)
Notice that assumptions (5.2) and (5.4) imply that the limit in (5.7) exists for every (x, s, ξ)∈Ω×IR×IRN (since the function t→ f(x,s,tξ)−tf(x,s,0) is increasing). Moreover, the function f∞is convex and positively homogeneous of degree one in the last variable and, as a consequence of definition (5.7), we have that
f(x, s, tξ)
t ≤f∞(x, s, ξ) +f(x, s,0)
t for allt >0. (5.8)
Notice also that f∞ is a Borel function in Ω×IR×IRN. Thus, the functional F in (5.6) is well defined. By the assumptions made onf, it follows that
0≤f∞(x, s, ξ)≤Λ|ξ| for every (x, s, ξ)∈Ω×IR×IRN, (5.9)
|f∞(x, s, ξ)−f∞(x, s0, ξ)| ≤Λ|ξ||s−s0| for every (x, s, ξ),(x, s0, ξ)∈Ω×IR×IRN. (5.10) In the sequel, we will assume also that
f∞(·, s, ξ)∈BV(Ω) for every (s, ξ)∈IR×IRN, (5.11) and that, for any (s, ξ)∈IR×IRN,
f∞(·, s, ξ) is approximately continuous forHN−1-a.e. x∈Ω. (5.12)