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point-like singularities
Daniele Graziani, Gilles Aubert
To cite this version:
Daniele Graziani, Gilles Aubert. Variational approximation for a functional governing point-like
sin-gularities. [Research Report] RR-7095, INRIA. 2009, pp.35. �inria-00403232v3�
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Thème COG
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
1
Variational approximation of a functional governing
point-like singularities.
Daniele Graziani, Gilles Aubert
N° 7095
2009
2
Unité de recherche INRIA Sophia Antipolis
point-like singularities. 4 Daniele Graziani∗
, GillesAubert†
5ThèmeCOG Systèmes ognitifs 6
ProjetARIANA 7
Rapportdere her he n° 70952009xxxpages 8
Abstra t: The aim of this paper is to provide arigorous variationalformulationfor the 9
dete tion of points in
2
-d images. To this purpose we introdu e a new fun tional of the 10al ulusofvariationwhoseminimizersgivethepointswewanttodete t. Thenwebuildan 11
approximatingsequen eoffun tionals,forwhi hweprovethe
Γ
- onvergen e,withrespe t 12toasuitable onvergen e,totheinitialone. 13
Key-words: pointsdete tion,divergen e-measureelds,
p
- apa ity,Γ
- onvergen e. 14∗
ARIANAProje t-team, CNRS/INRIA/UNSA,2004Routedeslu ioles-BP93,06902Sophia-Antipolis Cedex,Fran e
†
LABORATOIREJ.A.DIEUDONNÉUniversitédeNi eSOPHIAANTIPOLIS,par valrose06108Ni e CEDEX2,FRANCE.
Résumé: Nousproposons unenouvelleméthode variationellepourisolerdespointsdans 17
uneimage
2
-D.Dans ebutnousintroduisonsuneenergiedontlespointsdeminimumsont 18donnésparl'ensembledespointsqueonveutdéte ter. En suiteonappro he ette energie 19
parunesuitedefon tionellesplusrégulières,pourlaquelleonmontrela
Γ
- onvergen evers 20lafon tionelle initiale. 21
Mots- lés: déte tiondepoints, hampsave divergen emesure,
p
- apa ité,Γ
- onvergen e. 22Contents 23 1 Introdu tion ii 24 2 Preliminaries v 25 2.1 Notation. . . v 26
2.2 Distributionaldivergen eand lassi alspa es . . . v 27
2.3
p
- apa ity . . . vi 283 The Variational Model vii
29
3.1 Thevariationalframework . . . ix 30
3.2 TheFun tional . . . xi 31
4
Γ
- onvergen e: The intermediate approximation xii 324.1 Compa tness . . . xiii 33
4.2 Lowerbound . . . xv 34
4.3 Upperbound . . . xvi 35
4.4 Variationalproperty . . . xvii 36
5 Approximation by smoothfun tion xix 37
5.1 Compa tness . . . xx 38
5.2 Lowerbound . . . xxii 39
5.3 Upperbound . . . xxiii 40
5.4 Variationalproperty . . . xxvi 41
6 De Giorgi'sConje ture xxvii
42
Referen es xxix
43
1 Introdu tion 44
The issue of dete ting ne stru tures, like points or urves in two or three dimensional 45
biologi alimages,isa ru ialtaskin imagepro essing. Inparti ularapointmayrepresent 46
aviralparti lewhosevisibilityis ompromisedbythepresen eof otherstru tureslike ell 47
membranesorsomenoise. Thereforeoneof themain goalsis dete tingthespotsthat the 48
biologistswish to ount. This operationis made harderby thepresen e of othersingular 49
stru tures. 50
In some biologi al images the image intensity is a fun tion that takes the value
1
on 51pointsorother stru tureslikesets with Hausdordimension
0 ≤ α < 1
, andit is lose to 520
outside. In image pro essing these on entrationsets are alled dis ontinuities without 53jump,meaningthatthereisnojumpa rossthesetandthereforethegradientoftheimage 54
is
0
. 55In the literature there are few variational methods dealing with this problem. In this 56
dire tion one interesting approa h has been proposed in [3℄. In that paper the authors 57
onsider this kind of pathology as a
k
- odimension obje t, meaning that they should be 58regardedasa singularityof a map
U : R
k+m
→ R
k
, with
k ≥ 2
andm ≥ 0
(see[6℄ for a 59ompletesurveyonthissubje t). Inparti ularthedete tingpoint ase orrespondstothe 60
ase
k = 2
andm = 0
. 61Thispointofviewmakespossibleavariationalapproa hbasedonthetheoryof Ginzburg-62
Landausystems. Intheirworktheisolatedpointsin
2
-Dimagesare regardedasthe topo-63logi alsingularitiesofamap
U : R
2
→ S
1
,where
S
1
istheunitsphereof
R
2
. Startingfrom 64
theinitialimage
I : Ω ⊂ R
2
→ R
,thisstrategy makes ru ialthe onstru tionofaninitial 65
ve toreld
U
0
: R
2
→ S
1
with atopologi al singularityof degree
1
. Howto build su h a 66ve toreldin arigorousway,is asubje tofa urrentinvestigation. 67
Ourrstpurposehereisndingamostnaturalvariationalframeworkinwhi harigorous denitionofdis ontinuitywithoutjump anbegiven. Inourmodeltheimage
I
isaRadon measure. It is ru ial for dete ting points that this Radon measure be able of harging points. Thepreliminary stepis nding aspa e whose elementsare ableof produ ing this kind of measures. This spa e is given byDM
p
(Ω)
: the spa e of
L
p
-ve tor elds whose distributionaldivergen e is aRadonmeasure,with
1 < p < 2
. Therestri tiononp
is due to thefa t that whenp ≥ 2
thedistributional divergen eDivU
ofU
annot beameasure on entratedonpoints(seeSe tion3.1
below). Thenwehaveto onstru t,fromtheoriginal imageI
,adatave torU
0
∈ DM
p
(Ω)
. Clearlythereare,atleastinprin iple,manywaysto dothis. Theoneweproposehereseemsto bethemostnatural. We onsiderthe lassi al ellipti problemwithmeasuredata
I
:(
−∆u
0
= I
onΩ
u
0
= 0
on∂Ω.
Thenbysetting
U
0
= ∇u
0
wehaveU
0
∈ DM
p
(Ω)
with
DivU
0
= I
. Howeverthesupportof 68themeasure
DivU
0
istoolargeand ould ontainsseveralstru tureslike urvesorfra tals, 69whilethesingularities,weareinterestedin,are ontainedintheatomi partofthemeasure 70
DivU
0
and therefore we have to isolate it. To do this the notion ofp
- apa ity of a set 71plays a keyrole. Indeed when
p < 2
thep
- apa ity of a point inΩ
is zero and one an 72say, in this sense, that it is a dis ontinuity with no jump. Besides everyRadon measure 73
anbede omposed(see[14℄)intwomutuallysingularmeasures: therstoneisabsolutely 74
ontinuouswithrespe ttothe
p
- apa ityandthese ondoneissingularwithrespe ttothe 75p
- apa ity,meaningthatitisameasure on entratedonsetswith0 p
- apa ity. 76Asitisknownin dimension
2
,setswith0 p
- apa ity,andhen edis ontinuitieswithout 77jump, an beisolated points, ountable set of pointsorfra tals with Hausdordimension 78
0 ≤ α < 1
(seeSubse tion2.3
forthedenitonofp
- apa ityandrelatedproperties). 79Ourgoalhereiskeepingnothingelsebut pointsintheimage. Thea hievementofsu h 80
apurposemakesne essarytheminimizationofasuitableenergythatmust removeallthe 81
dis ontinuitieswhi harenotdis ontinuitieswithoutjump,andremoveallthedis ontinuities 82
withoutjump whi harenotisolatedpoint. 83
Fromonehandwehavetofor ethe on entrationsetofthedivergen emeasureof
U
to 84ontainonlythepointswewantto at h, andontheotherhand wehaveto regularizethe 85
initial data
U
0
outside thepoints of singularities. To this end weintrodu e the auxiliary 86spa e
SDM
p
(Ω)
of ve torelds belonging to
DM
p
(Ω)
whose divergen e measure hasno 87
absolutely ontinuous part with respe t to the
p
- apa ity. Then, by taking into a ount 88that theinitialve toreld is agradientofaSobolev fun tion,ourgoalisto minimizethe 89 followingenergy: 90
F(u) =
Z
Ω
|∆u|
2
dx + λ
Z
Ω
|∇u − U
0
|
p
dx + µH
0
(supp(div
s
∇u)
0
),
where
u ∈ W
1,p
0
(Ω)
with∇u ∈ SDM
p
(Ω)
,
1 < p < 2
andλ, µ
arepositive weights. The 91gradient of a minimizer of the energy
F
is the ve toreld we are looking for, that is a 92ve toreldwhosedivergen emeasure anbede omposedinanabsolutely ontinuous(with 93
respe ttotheLebesgue'smeasure)termplusanatomi measure on entratedonthepoints 94
wewantto isolatein theimage. 95
Evenifapointwise hara terizationofdis ontinuitywithoutjumpisnotavailable,thanks 96
toourdenitionthesingularsetofpoints anbelinkedtotheve toreld
∇u
,inthespirit 97of the lassi al SBV formulation of the Mumford-Shah's fun tional (we refer to [1℄ for a 98
ompletesurveyontheMumfordShah'sfun tional). 99
Forfuture omputationalpurposes, thenexttaskistoprovideanapproximationinthe sense of
Γ
- onvergen e introdu ed in [16, 17℄. Our approa h is lose in the spirit to the oneusedto approximatetheMumfordShahfun tionalbyafamilyofdepending urvature fun tionalsas in[9℄. Indeed,asin theirwork(seealso[8℄),werepla etheatomi measureH
0
bythetermG
ε
(D) =
1
4π
Z
∂D
1
ε
+ εκ
2
dH
1
;
where
D
is a properregular set ontainingthe atomi setP
,κ
is the urvature of its 100boundary,and the onstant
1
4π
is anormalizationfa tor. Roughlyspeakingtheminimaof 101thesefun tionalsarea hievedontheunionofballsofsmallradius,so thatwhen
ε → 0
the 102sequen e
G
ε
shrinkstotheatomi measureH
0
(P )
. 103
Thisleadstoanintermediateapproximationgivenby
F
ε
(u, D) =
Z
Ω
(1 − χ
D
)|∆u|
2
dx +
Z
Ω
|∇u − U
0
|
p
dx
+
1
4π
Z
∂D
1
ε
+ εκ
2
dH
1
.
(1) This strategy permits to work with the perimeter measureH
1
⌊∂D
, that an be approxi-mated,a ordingtotheModi a-Mortola'sapproa h(see[21,22℄),bythemeasure:
µ
ε
(w, ∇w)dx = ε|∇w|
2
+
W (w)
ε
dx,
where
W (w) = w
2
(1 − w)
2
isadoublewellfun tion. 104
BesidesbyusingSard'sTheoremand oareaformula(seealso[4℄forasimilarapproa h) one anformally repla etheintegralon
∂D
by anintegral omputed overthelevelsetsofw
, whose urvatureκ
be omesdiv
∇w
|∇w|
and theintegralis omputed overthelevelsets ofw
. Sothatone anformallywrite the ompleteapproximatingsequen e:F
ε
(u, w)
=
Z
Ω
w
2
|∆u|
2
dx + µ
1
8πC
Z
Ω\{∇w=0}
(
1
β
ε
+ β
ε
div(
∇w
|∇w|
)
2
(ε|∇w|
2
+
1
ε
W (w))dx
+ λ
Z
Ω
|∇u − U
0
|
p
dx +
1
γ
ε
Z
Ω
(1 − w)
2
dx,
where,asusual,C =
R
1
0
pW (t)dt
,β
ε
andγ
ε
areinnitesimalasε → 0
. Thelastintegralis 105apenalizationtermthat for es
w
totendto1
asε → 0
. 106Thegoalofthe se ondpartofthis workis thento showthat thefamilyofenergies
F
ε
107Γ
- onvergestothefun tionalF
whentheparametersarerelatedin asuitableway. 108As in [9℄ wedealwithasuitable onvergen e offun tions involvingtheHausdor on-109
vergen eofasub-levelsets. Thisstrategyrequiresa arefulstatementofthe
Γ
- onvergen e 110denitions andresults,in order tohavethat sequen es asymptoti allyminimizing
F
ε
on-111vergestoaminimumof
F
. 112Despite this approa h is inspired bysome ideas ontainedin [8, 9℄, we point out that 113
inour asetheregularizationterminvolvesase ondorderdierentialoperator,duetothe 114
fa tthat ourgoalistodete tpointsandnotsegment urves. Thisdeepdieren erequires 115
anontrivialadaptationoftheargumentsusedinthosepapers. 116
Thepaperisorganizedasfollows. Se tion
2
is devotedtonotations,preliminary deni-117tionsandresults. In Se tion
3
weillustrate thenewvariationalmodel andwepresentthe 118fun tionalwedealwith. Se tion
4
and5
aredevotedtotheΓ
- onvergen eresult. Finallyin 119thelastSe tionwe on ludethepaperby omparingthisapproa hwiththe elebrated on-120
je turebyDeGiorgi, on erningtheapproximationofthe urvaturedependingfun tionals. 121
Wedo notgivehereexperimental resultillustratingourapproa h. Wereferthereader 122
forthatto[19℄. 123
2 Preliminaries 124
2.1 Notation 125
Inall the paper
Ω ⊂ R
2
is anopenbounded set with lips hitzboundary. The Eu lidean 126
normwill bedenoted by
| · |
, whilethesymbolk · k
indi ates thenorm ofsomefun tional 127spa es. Thebra kets
h, i
denotes thedualityprodu tin somedistributional spa es.L
d
or 128
dx
isthed
-dimensionalLebesguemeasureandH
k
is the
k
-dimensionalHausdor measure. 129B
ρ
(x
0
)
isthe ball entered atx
0
with radiusρ
. Wesay thata setD ⊂ Ω
isaregular set 130ifit anbewritten as
{F < 0}
withF ∈ C
∞
0
(Ω)
. In thefollowingwewill denotebyR(Ω)
131thefamily ofall regularsets in
Ω
. Finally wewill use thesymbol⇀
fordenoting aweak 132onvergen e. 133
2.2 Distributional divergen e and lassi al spa es 134
InthisSubse tionwere allthedenitionofthedistributionalspa e
L
p,q
(div; Ω)
andDM
p
(Ω)
, 1351 ≤ p, q ≤ +∞
,(see[2,12℄). 136Denition 2.1. We say that
U ∈ L
p,q
(div; Ω)
if
U ∈ L
p
(Ω; R
2
)
and if its distributional 137
divergen e
DivU = divU ∈ L
q
(Ω)
. Ifp = q
the spa eL
p,q
(div; Ω)
will be denoted by 138L
p
(div; Ω)
. 139Wesay that afun tion
u ∈ W
1,p
(Ω)
belongstoW
1,p,q
(div; Ω)
if∇u ∈ L
p,q
(div; Ω)
. We 140saythat afun tion
u ∈ W
1,p
0
(Ω)
belongstoW
1,p,q
0
(div; Ω)
if∇u ∈ L
p,q
(div; Ω)
. 141 Denition2.2. ForU ∈ L
p
(Ω; R
2
)
,1 ≤ p ≤ +∞
,set|DivU |(Ω) := sup{hU, ∇ϕi : ϕ ∈ C
0
∞
(Ω), |ϕ| ≤ 1}.
Wesaythat
U
isanL
p
-divergen e measureeld, i.e.
U ∈ DM
p
(Ω)
,if
kU k
DM
p
(Ω)
:= kU k
L
p
(Ω;R
2
)
+ |DivU |(Ω) < +∞.
Letusre allthefollowing lassi alresult(see[13℄Proposition
3.1
). 142 Theorem2.1. Let{U
k
}
k
⊂ DM
p
(Ω)
besu hthat 143U
k
⇀ U
inL
p
(Ω; R
2
),
ask → +∞
for1 ≤ p < +∞.
(2) ThenkU k
L
p
(Ω;R
2
)
≤ lim inf
k→+∞
kU
k
k
L
p
(Ω;R
2
)
,
|DivU |(Ω) ≤ lim inf
k→+∞
|DivU
k
|(Ω).
2.3
p
- apa ity 144The
p
- apa itywill be ru ial to nd a onvenient fun tional framework to deal with. IfK ⊂ R
2
isa ompa tset and
χ
K
denotesits hara teristi fun tion,wedene:Cap
p
(K, Ω) = inf{
Z
Ω
|∇f |
p
dx, f ∈ C
∞
0
(Ω), f ≥ χ
k
}.
If
U ⊂ Ω
isanopenset ,thep
- apa ityisgivenbyCap
p
(U, Ω) = sup
K⊂U
Cap
p
(K, Ω).
Finallyif
A ⊂ Ω
isaBorelsetCap
p
(A, Ω) =
inf
A⊂U⊂Ω
Cap
p
(U, Ω).
Were allthefollowingresult(seeforinstan e[20℄,Theorem2.27)thatexplainsthe relation-145
shipbetween
p
- apa ityandHausdormeasures. Su haresultis ru ial tohavegeometri 146informationsonnull
p
- apa itysets. 147Theorem2.2. Assume
1 < p < 2
. IfH
2−p
(A) < ∞
then
Cap
p
(A, Ω) = 0
. 148Anotherusefultoolto managesetsof
p
- apa ity0
is providedby thefollowing hara -149terization. 150
Theorem2.3. Let
E
bea ompa t subsetofΩ
. ThenCap
p
(E, Ω) = 0
if andonlyif there 151 existsasequen e{φ
k
}
k
⊂ C
∞
0
(Ω)
, onvergingto0
stronglyinW
1,p
0
(Ω)
,su hthat0 ≤ φ
k
≤ 1
152and
φ
k
= 1
onE
for everyk
. 153Forageneralsurveywereferthereaderto[18,20, 25℄. 154
3 The Variational Model 155
Inthisse tionwesetthefun tionalframeworkandthefun tionaltobeminimized. 156
Roughlyspeaking in biologi alimages theimage is afun tion that ouldbeveryhigh onpointsor other stru tureslikesets withHausdor dimension
0 ≤ α < 1
, andit is lose to0
outside. From amathemati alpointof viewitseemsto bemu hmoreappropriateto thinkoftheimageasaRadonmeasure,thatisI = µ ∈ (C
0
(Ω))
∗
. Thenextstepisndinga spa ewhoseelementsareableofprodu ingthiskindofdis ontinuities: thespa e
DM
p
(Ω)
, with
1 < p < 2
. Therestri tiononp
is dueto thefa t that whenp ≥ 2
thedistributional divergen eofU
annotbeameasure on entratedon points. Setp ≥ 2
,a ording tothe denition,wehavehDivU, ϕi = −
Z
Ω
U · ∇ϕdx
forallϕ ∈ C
∞
0
(Ω).
Sin e
p ≥ 2
thisdistributionis well-dened foranytestϕ ∈ W
1,p
′
0
(Ω)
,wherep
′
≤ 2
isthe 157
dualexponentof
p
. Inparti ularDivU
belongstothedualspa eW
−1,p
′
(Ω)
oftheSobolev 158spa e
W
1,p
0
(Ω)
. Thenin this ase,thedistributional divergen e ofU
annotbeanatomi 159measure,sin e
δ
0
∈ W
/
−1,p
′
(Ω)
. Tosee this, one an onsider asΩ
the diskB
1
(0)
andthe 160fun tion
ϕ(x) = log(log(1 + |x|)) − log(log(2))
˜
. Thisfun tion isin thespa eW
1,p
′
0
(Ω)
for 161every
p
′
≤ 2
and therefore itis an admissible test fun tion,howeverit easy to he k that 162
hδ
0
, ϕi = +∞
. 163When
1 < p < 2
wehavethatDivU ∈ W
−1,p
′
(Ω)
, butin this asesin ep < 2
,wehave 164p
′
> 2
and hen e thefun tionϕ
˜
is nolonger an admissible test fun tion. One an he k 165thatthe distribution
DivU
isanelementof(C
0
(Ω))
∗
ableof hargingthepoints. Takefor 166
instan ethemap
U (x, y) = (
x
x
2
+y
2
,
y
x
2
+y
2
)
. 167Thenextstepistotransformtheinitialimage
I
asthedivergen emeasureofasuitable 168ve toreld. We onsidertheellipti problemwithmeasuredata
I
: 169(
−∆u = I
onΩ
u = 0
on∂Ω.
(3)
Classi al results (see [24℄) ensures the existen e of a unique weak solution
u ∈ W
1,p
0
(Ω)
with
p < 2
. Then iteasyto see that thedistributional divergen eof∇u
is givenbyI
. In parti ular bysettingU = ∇u
, wehaveU ∈ DM
p
(Ω)
. A ordingto theRadon-Nikodym de ompositionofthemeasure
DivU
wehaveDivU = divU + div
s
U,
where
divU ∈ L
1
(Ω)
and
div
s
U
isasingularmeasure withrespe tto
L
2
. Forourpurpose 170
the support of the singular measure
div
s
U
is too large. In parti ular the measure
div
s
U
171
ould harge sets with Hausdor dimension
0 ≤ α < 2
. So that in order to isolate the 172singularities we are interested in, we need a further de omposition of the measure
DivU
. 173This anbedonebyusingthe apa itaryde ompositionoftheRadonmeasure
div
s
U
. Itis 174
known(see[14℄)thatgivenaRadonmeasure
µ
thefollowingde ompositionholds 175µ = µ
a
+ µ
0
,
(4)where the measure
µ
a
is absolutely ontinuous with respe t to thep
- apa ity andµ
0
is 176singularwithrespe ttothe
p
- apa ity,thatis on entratedonsetswith0 p
- apa ity. Besides 177it isalso known (see [14℄)that everymeasure whi h is absolutely ontinuouswith respe t 178
to the
p
- apa ity an be hara terized asan element ofL
1
+ W
−1,p
′
, leadingto the ner 179 de omposition: 180
µ = f − DivG + µ
0
,
(5) whereG ∈ L
p
′
(Ω; R
2
)
with1
p
+
1
p
′
= 1
andf ∈ L
1
(Ω)
. 181Byapplyingthisde ompositontothemeasure
div
s
U
weobtainthefollowing de ompo-182
sitionofthemeasure
DivU
183DivU = divU + f − DivG + (div
s
U )
0
,
(6)with
G ∈ L
p
′
(Ω; R
2
)
,f ∈ L
1
(Ω)
,divU ∈ L
1
(Ω)
,and(div
s
U )
0
isameasure on entratedon 184aset with
0 p
- apa ity. 185A ordingtothis de ompositionandtaking intoa ountTheorem2.3wegivethe de-186
nitionofdis ontinuitywithoutandwith jump. 187
Denition3.1. Wesay that apoint
x ∈ Ω ⊂ R
2
is apointof dis ontinuity without jump 188
of
U
ifx ∈ supp(div
s
U )
0
. 189Remark 3.1. The other singularities, where thereis a jump, are ontained in the se ond term of de omposition (6 ). Indeed the spa e
W
−1,p
′
(Ω)
ontains Hausdor measures re-stri tedtosub-manifoldsof dimension greaterthanor equalto1
. (Werefer to[25℄Se tion4.7
for adetaileddis ussion onthe spa eW
−1,p
′
(Ω)
), likefor instan eHausdormeasures on entrated on regular losed urves, whi h are lassi al examples of dis ontinuities with jump. Morepre isely a ontourofaregularsetD
isthe jumpsetofthe hara teristi fun -tionofD
anditsp
- apa ityisstri tlypositive. Thisisof ourseinagreementwithTheorem 2.3 . Indeedif therewere asequen e{φ
k
}
k
⊂ C
∞
0
(Ω)
, onverging to0
stronglyinW
1,p
0
(Ω)
, su h that0 ≤ φ
k
≤ 1
andφ
k
= 1
on∂D
for everyk
, it would be possible to dene the sequen e˜
φ
k
=
(
φ
k
onD
1
onΩ \ D,
whi h onverges, in the
W
1,p
-norm, tothe
BV
-fun tion1 − χ
D
, whi h annot be approxi-190matedbyregularfun tionsinthe
W
1,p
-norm. 191
Denition3.2. Wesaythatapoint
x ∈ Ω ⊂ R
2
isapointofdis ontinuitywith jumpof
U
192if
x ∈ supp(f − DivG)
. 1933.1 The variational framework 194
Weshallbuildanenergywhoseminimizerswillbeve toreldswhosedivergen emeasure's 195
singularpartwillbegivenbynothingelsebut points. 196
Ea hminimizermustbean
L
p
(with
p < 2
)ve toreldwiththefollowingproperties: 1971. Itmustbe loseto theinitialdata
U
0
whi his,in general,anL
p
ve toreld
U
0
with 1981 < p < 2
. 1992. The absolutely ontinuous partwith respe tto the Lebesgue measure of
DivU
isan 200L
2
fun tion. 201
3. Thesupportofthemeasure
(dive
s
U )
0
mustbegivenbysetofpointsP
U
withH
0
(P
U
) <
202
+∞.
203
A ordingto these onsiderationsitisnaturaltointrodu ethespa e 204
SDM
p
(Ω) := {U ∈ DM
p
(Ω),
f − DivG = 0},
(7)sothat,asa onsequen e,de omposition(6)yieldsforany
U ∈ SDM
p
(Ω)
205
DivU = divU + (div
s
U )
0
.
(8)For our purposes the following result on erning the features of elements of the spa e 206
SDM
p
(Ω)
willplaya ru ialrole. 207Proposition 3.1. Let
u ∈ W
1,p,2
0
(div; Ω \ P )
,with1 < p < 2
. LetP ⊂ Ω
be asetof nite 208numberof points. Then
∇u ∈ SDM
p
(Ω),
with
(div
s
∇u)
0
= P
. 209Proof. Weset
P = {x
1
, ..., x
n
}
. Letρ(h) → 0
ash → +∞
besu hthatB
ρ
h
(x
i
)∩B
ρ
h
(x
j
) =
210
∅
forh
large enoughandi 6= j
. We setΩ
h
=
S
n
i=1
B
ρ
h
(x
i
)
and wedene the following 211 sequen e{U
h
} ⊂ L
p
(Ω; R
2
)
. 212(
U
h
= ∇u
onΩ \ Ω
h
,
0
onΩ
h
.
(9) Sin e∆u ∈ L
2
(Ω \ P )
,bystandardellipti regularitywededu ethat
u ∈ W
2,p
loc
(Ω \ P )
. In 213parti ulartheexteriortra e
γ
ext
0
(u) ∈ W
3
2
,p
(∂Ω
h
)
. Thereforeweinferthatu ∈ W
2,p
(Ω\Ω
h
)
. 214For every
i = 1, ..n
andh
small enoughwe an nd an open setA
i
su h thatB
ρ
h
(x
i
) ⊂
215
A
i
⊂ Ω \
S
j6=i
B
ρ
h
(x
j
)
andA
i
doesnotdependonh
. Letθ
i
bea utofun tionasso iated 216 toA
i
su hthat 217
θ
i
= 1
onB
ρ
h
(x
i
)
foranyi = 1, ..., n,
0 ≤ θ
i
≤ 1
foranyi = 1, ..., n,
θ
i
= 0
onΩ \ A
i
foranyi = 1, ..., n,
k∇θ
h
k
∞
≤
d(∂A
i
,∂B
M
i
ρh
(x
i
))
foranyi = 1, ..., n.
(10)Then,if
ϕ ∈ C
1
0
(Ω)
with|ϕ| ≤ 1
,byapplyingGauss-Green'sformulaweobtain:Z
Ω
U
h
· ∇ϕdx =
Z
Ω\Ω
h
∇u · ∇ϕdx = −
Z
Ω\Ω
h
∆uϕdx +
Z
∂(Ω\Ω
h
)
∇u · νϕdH
1
=
−
Z
Ω\Ω
h
∆uϕdx +
n
X
i=1
Z
∂(Ω\B
ρh
(x
i
))
∇u · ν(ϕ − θ
i
ϕ(x
i
))dH
1
+
n
X
i=1
ϕ(x
i
)
Z
∂(Ω\B
ρh
(x
i
))
θ
i
∇u · νdH
1
=
−
Z
Ω\Ω
h
∆uϕdx +
n
X
i=1
Z
∂Ω
∇u · ν(ϕ − θ
i
ϕ(x
i
))
+
n
X
i=1
Z
∂B
ρh
(x
i
)
∇u · ν(ϕ − ϕ(x
i
))dH
1
+
n
X
i=1
n
ϕ(x
i
)
Z
A
i
\B
ρh
(x
i
)
∆uθ
i
dx +
Z
A
i
\B
ρh
(x
i
)
∇u∇θ
i
dx
o
.
(11)whereinthelastequalitywehaveappliedagaintheGauss-Green'sformulaandthedenition 218
of
θ
i
. 219Now for every
i
we have that{∂B
ρ
h
(x
i
)}
onverges in the Hausdor metri to the singleton{x
i
}
. Then, sin e the support of the fun tionψ = ϕ − ϕ(x
i
)
is ontained inΩ \ {x
i
}
,wehavethatsuppψ ∩ ∂{B
h
(x
i
)} = ∅
forh
largeenough,bystandardpropertiesof theHausdor onvergen e. Thereforethethird termin (11)is equalto0
. Moreoverforh
largeenoughwe anndaproperopenregularsetA
,thatdoesnotdependonh
,su hthatu ∈ W
2,p
(Ω \ A)
. Hen eweinfer∂u
∂ν
∈ W
1
2
,p
(∂Ω)
. Therefore,from(11)itfollowsthat
|DivU
h
|(Ω) ≤
sup
0≤ϕ≤1
Z
Ω
|∇u · ∇ϕ|dx ≤ (n + 1)C
1
(Ω)k∆uk
L
2
(Ω\P )
+ 2nk
∂u
∂ν
k
W
1
2
,p
(∂Ω)
+
k∇uk
L
p
(Ω;R
2
)
n
X
i=1
M
i
d(∂A
i
, ∂B
ρ
h
(x
i
))
:= C(n, Ω),
for
h
largeenough. Sin eU
h
⇀ ∇u
inL
p
(Ω; R
2
)
, byTheorem2.1
|Div∇u|(Ω) ≤ lim inf
h→∞
|Div∇u
h
| ≤ C.
Therefore
∇u ∈ DM
p
(Ω)
. Finally we know that
u ∈ W
1,p,2
(div; Ω \ P )
and thus the 220
support ofthe measure
div
s
∇u
isgiven bytheset
P
. Sin eCap
p
(P, Ω) = 0
, a ordingto 221de omposition(6)themeasure
f − DivG
vanishesonsetswith0 p
- apa ity,andwededu e 222f − DivG = 0
,thatis∇u ∈ SDM
p
(Ω)
,with
(div
s
∇u)
0
= P.
223
3.2 The Fun tional 224
A ordingtoourpurposethenaturalenergytodealwithisthefollowing
F : SDM
p
(Ω) →
[0, ∞]
,1 < p < 2
,givenbyF (U ) =
Z
Ω
|divU |
2
dx + λ
Z
Ω
|U − U
0
|
p
dx + µH
0
(supp(div
s
U )
0
).
Fromnowonweassumewithoutloosinggeneralitythattheweights
λ
andµ
areequalto1
. 225Wenotethat,if
DivU
0
6= 0
inthesenseofdistributions,theninf F (U ) > 0
onSDM
p
(Ω)
. 226
Indeed if we had
inf
SDM
p
(Ω)
F (U ) = 0
then, it would be possible exhibiting a minimizing 227
sequen e
{U
n
}
,su hthatF (U
n
) → 0
. ThiswouldimplyU
n
→ U
0
inL
p
and
DivU
n
→ 0
in 228D
′
(Ω)
. Ontheotherhand,the
L
p
-distan ebetween
U
n
andU
0
anbearbitrarysmallonly 229if
DivU
0
= 0
aswell,be ausethe onstraintDivU = 0
isstable underL
p
- onvergen e. 230
4
Γ
- onvergen e: The intermediate approximation 231Byanalogywith the onstru tion of
U
0
we restri tourselvesto ve toreldsU
whi h are 232thegradientofafun tion
u ∈ W
1,p
0
(Ω)
. 233Thus thefun tional
F
is niteon the lass of fun tions whose support ofthe measure 234(div
s
∇u)
0
is givenbyaniteset. Consequentlyitis onvenienttointrodu ethefollowing 235 spa es: 236∆M
p
(Ω) := {u ∈ W
0
1,p
(Ω), ∇u ∈ SDM
p
(Ω)},
(12) and 237∆AM
p,2
(Ω) = {u ∈ ∆M
p
(Ω) : ∆u ∈ L
2
(Ω), supp(div
s
∇u)
0
= P
∇u
withH
0
(P
∇u
) < +∞}.
(13) Sothatthetarget-limitenergy
F : ∆AM
p,2
(Ω) → (0, ∞)
isgivenby 238F(u) =
Z
Ω
|∆u|
2
dx +
Z
Ω
|∇u − U
0
|
p
dx + H
0
(P
∇u
).
(14)Inthespirit[9℄weintrodu eanintermediatevariationalapproximationofthefun tional
F
. Wedene asequen e offun tionalswhere the ountingmeasureH
0
(P
∇u
)
isrepla edby a fun tionaldened onregularsetsD andwhi h involvesthe urvatureoftheboundary∂D
. Theapproximatingsequen eisgivenby:F
ε
(u, D) =
Z
Ω
(1 − χ
D
)|∆u|
2
dx +
Z
Ω
|∇u − U
0
|
p
dx
+
1
4π
Z
∂D
1
ε
+ εκ
2
dH
1
.
Whereu ∈ W
1,p,2
0
(div; Ω)
,D
isaregularset, andκ
denotesthe urvatureofitsboundary. 239Inordertoguaranteethatthemeasureofthesets
D
issmallwedeneanewfun tional 240stilldenotedby
F
ε
(u, D)
givenby 241F
ε
(u, D) =
Z
Ω
(1−χ
D
)|∆u|
2
dx+
Z
Ω
|∇u−U
0
|
p
dx+
1
4π
Z
∂D
1
ε
+εκ
2
dH
1
+
1
ε
L
2
(D)
onY (Ω),
(15) whereY (Ω) = {(u, D) u ∈ W
1,p,2
0
(div; Ω), D ∈ R(Ω)}
. Weendowthe setY (Ω)
with the 242following onvergen e. 243
Denition 4.1. Let
h ∈ N
go to+∞
. We say that a sequen e{(u
h
, D
h
)}
h
⊂ Y (Ω)
H-244onvergesto
u ∈ ∆AM
p,2
(Ω)
ifthe following onditionshold 245
1.
L
2
(D
h
) → 0
; 2462.
{∂D
h
}
h
→ P ⊂ Ω
inthe Hausdormetri ,whereP
isaniteset ofpoints; 2473.
u
h
→ u
inL
p
(Ω)
and
P
∇u
⊆ P
. 248Asin [9℄weadoptethefollowingadho denitionof
Γ
- onvergen e. 249Denition4.2. Let
h ∈ N
goto+∞
. WesaythatF
ε
Γ
- onvergestoF
ifforeverysequen e 250ofpositive numbers
{ε
h
} → 0
andfor everyu ∈ ∆AM
p,2
(Ω)
wehave: 251
1. for everysequen e
{(u
h
, D
h
)}
h
⊂ Y (Ω) H
- onvergingtou ∈ ∆AM
p,2
(Ω)
lim inf
h→+∞
F
ε
h
(u
h
, D
h
) ≥ F(u);
2. thereexistsasequen e
{(u
h
, D
h
)}
h
⊂ Y (Ω)
H- onvergingtou
su hthatlim sup
h→+∞
F
ε
h
(u
h
, D
h
) ≤ F (u).
We point out that with this approa h, the fundamental theorem of the
Γ
- onvergen e 252annotbeapplieddire tly,sin ewedonotdealwithametri spa e(fora ompletesurvey 253
on
Γ
- onvergen e wereferto [7, 10℄). Howeveritis still possibleto provethat asequen e 254{(u
h
, D
h
)}
h
asymptoti allyminimizingF
ε
(u, D)
admits a subsequen e H- onverging to a 255minimizerof
F(u)
. Indeedwewill showat the end ofthe Se tion (seeTheorem 4.4) that 256the onvergen eoftheminimumproblems anstillobtainedasa onsequen eof ompa tness 257
oftheminimizingsequen eof
F
ε
,Γ − lim inf
inequality(1
)andΓ − lim sup
inequality(2
). 2584.1 Compa tness 259
Westateandprovethefollowing ompa tnessresult. 260
Theorem4.1. Let
h ∈ N
go to+∞
andε
h
→ 0
su hthat 261F
ε
h
(u
h
, D
h
) ≤ M,
(16)thenthereexistasubsequen e
{(u
h
k
, D
h
k
)}
k
⊂ Y (Ω)
,afun tionu ∈ ∆AM
p,2
(Ω)
andaset 262
P ⊂ Ω
ofnite numberofpoints, su hthat{(u
h
k
, D
h
k
)}
k
H- onvergestou
. 263Proof. Weadaptan argumentof[9℄. From (16) wehaveimmediately
{D
h
} ⊂ R(Ω)
withL
2
(D
h
) → 0
. Then we an parametrize everyC
h
= ∂D
h
by a nite and disjoint union of Jordan urves. Let us set for everyh
,C
h
=
S
m(h)
i=1
γ
i
. Then we havea ordingto the2
-dimensional versionofGauss-Bonnet'sTheoremandYoung'sinequalityM ≥
1
4π
Z
∂D
h
(
1
ε
h
+ ε
h
κ
h
2
)dH
1
≥
1
4π
Z
∂D
h
2κ
h
dH
1
=
1
4π
Z
S
h
C
h
2κ
h
dH
1
= m(h).
Notethat thenumber
m(h) ≤ M
,withM ≥ 0
, isindependentofh
. Then itispossibleto extra t asubsequen eC
h
k
withthe numberof urvesinC
h
k
equalto somen
for everyk
. ThenwesetC
h
k
= {γ
1
h
k
, ..., γ
n
h
k
}
forany
k
. From (16)we alsohavefor anyγ ∈ C
h
k
thatH
1
(γ) ≤ 4πM ε
h
k
and onsequentlymax{H
1
(γ) : γ ∈ C
h
k
} → 0
. Thenthere existsanite setofpointP = {x
1
, ..., x
n
} ⊂ Ω
su hthatforanyradiusρ
thereisanindexk
ρ
withγ
i
h
k
⊂ B
ρ
(x
i
)
forallk > k
ρ
andi ∈ {1, ..., n},
sothatifweset∂D
h
k
=
S
n
i=1
γ
h
i
k
⊂
S
n
i=1
B
ρ
(x
i
)
,thentheHausdordistan ed
H
(∂D
h
k
, P ) →
264
0
sin eL
2
(D
h
k
) → 0
andthereforeρ → 0
aswell. 265Nowweprovethe ompa tnesspropertyfor
u
h
. Firstofallfromtheestimate 266k∇u
h
k
p
L
p
(Ω)
≤ 2
p
(k∇u
h
− U
0
k
p
L
p
(Ω)
+ kU
0
k
p
L
p
(Ω)
),
(17)and(16),wemayextra tasubsequen e
{u
h
k
} ⊂ W
1,p
0
(Ω)
weakly onvergenttou ∈ W
1,p
0
(Ω)
. 267Let
Ω
j
beasequen eofopensetsΩ
j
⊂⊂ Ω\P
invadingΩ\P
. We laimthatitispossible toextra t asequen eofD
h
k
su h thatΩ
j
∩ ∂D
h
k
= ∅
. Indeedsin ethedistan ebetweenΩ
j
andP
ispositiveforanyj
thereexistsη
j
su hthatΩ
j
∩ (
S
n
i
B
η
j
(x
i
)) = ∅
. Ontheother hand weknowthat forevery
ρ
we anndk
ρ
su h that∂D
h
k
=
S
n
i=1
γ
h
i
k
⊂
S
n
i=1
B
ρ
(x
i
)
. Theninparti ularifρ = η
j
thereexistsk
j
su h thatforallk ≥ k
j
Ω
j
∩ ∂D
h
k
= ∅.
Thereforeforany
x ∈ Ω
j
thereexistsδ > 0
su hthateitherB
δ
(x) ⊂ D
h
k
orB
δ
(x) ⊂ Ω\D
h
k
. 268Finallybytakinginto a ountthat
L
2
(D
h
k
) → 0
we on ludeΩ
j
∩ ∂D
h
k
= ∅
fork ≥ k
j
. 269Thenforevery
k ≥ k
j
wehavethatu
h
k
∈ W
1,p,2
(div; Ω
j
)
andby(16)weget 270Z
Ω
j
|∆u
h
|
2
dx ≤
Z
Ω\D
hk
|∆u
h
k
|
2
dx ≤ M.
(18)Thenwe anextra tafurthersubsequen estilldenotedby
{u
h
k
} ⊂ W
1,p,2
(div; Ω
j
)
su h that
u
h
k
→ u
inL
p
(Ω
j
; R
2
)
anda.e.∇u
h
k
⇀ ∇u
inL
p
(Ω
j
; R
2
)
∆u
h
k
⇀ ∆u
inL
2
(Ω
j
).
Letnowx ∈ Ω
′
⊂⊂ Ω \ P
. Thenthere existsasequen ex
j
→ x
withj ∈ N
. Byapplying 271thediagonalargumenttothesequen e
u
h
kl
(x
j
)
weobtainasubsequen eu
l
= u
h
kl
(x
l
)
su h 272that
∆u
l
onvergesweaklyinL
2
(Ω
′
)
to
∆u
foranyΩ
′
⊂⊂ Ω
. Thenbythesemi ontinuity 273 ofthe
L
2
-norm wehave 274sup
j
Z
Ω
j
|∆u|
2
dx ≤ sup
j
lim inf
l→+∞
Z
Ω
j
|∆u
l
|
2
dx ≤ M.
Ifweset
P = P \∂Ω
˜
,thenwededu eu ∈ W
1,p,2
0
(div; Ω\ ˜
P )
andtherefore∇u ∈ SDM
p
(Ω)
275
with
P
∇u
⊆ P
,byProposition3.1. Sowe on ludethatu ∈ ∆AM
p,2
(Ω).
276
4.2 Lower bound 277
Weprovidethelowerbound (
1
)inDenition4.2
. 278Theorem4.2. Let
h ∈ N
goto+∞
. Let{ε
h
}
h
beasequen eofpositivenumbers onverging tozero. Foreverysequen e{(u
h
, D
h
)}
h
⊂ Y (Ω)
,H- onvergingtou ∈ ∆AM
p,2
(Ω)
,wehavelim inf
h→∞
F
ε
h
(u
h
, D
h
) ≥ F(u).
Proof. Uptoasubsequen ewemayassumethatthe
lim inf
isaa tuallyalimit. Asinthe proofofTheorem4.1,bysettingforeveryh
,C
h
=
S
m(h)
i=1
γ
i
,wegetM ≥
1
4π
Z
∂D
h
(
1
ε
h
+ ε
h
k
2
)dH
1
= m(h).
Uptosubsequen eswehave
m(h) = n
forsomenaturalnumbern
. Hen ethereexists aset 279P
1
ofn
pointssu hthat∂D
h
onvergesin theHausdor metri toP
1
. Ontheother hand 280wehavethat
∂D
h
onvergesintheHausdor metri toP
withP
∇u
⊆ P
. Then,sin ethe 281limitis unique,wehave
P = P
1
. 282Let now
{Ω
j
}
j
be a sequen e of open setsΩ
j
⊂⊂ Ω \ P
1
invadingΩ \ P
1
. As in the proof of Theorem 4.1 we may assume up to a subsequen e, that∆u
h
⇀ ∆u
inL
2
(Ω
j
)
. Furthermore,sin einthis aseallthesequen eD
h
onvergestothesetP
1
wehave,bythe sameargument usedin theproof ofTheorem 4.1,Ω
j
⊂ Ω \ D
h
forh large andfor anyj
. Consequentlylim inf
h→+∞
Z
Ω\D
h
|∆u
h
|
2
dx ≥ lim inf
h→+∞
Z
Ω
j
|∆u
h
|
2
dx ≥
Z
Ω
j
|∆u|
2
dx.
Ontheotherhand,arguingasinTheorem4.1,weinferthatthelimit
u
ofthesubsequen e 283u
h
belongs to∆AM
p,2
(Ω)
, with∆u ∈ L
2
(Ω \ P
1
)
andP
∇u
⊆ P
1
. Sothat bymonotone 284 onvergen e 285lim inf
h→+∞
Z
Ω\D
h
|∆u
h
|
2
dx ≥
Z
Ω\P
1
|∆u|
2
dx =
Z
Ω
|∆u|
2
dx.
(19)AsintheproofofTheorem4.1,inequality(17)holds. Thenweeasilyget 286
lim
h→∞
Z
Ω
|∇u
h
− U
0
|
p
dx ≥
Z
Ω
|∇u − U
0
|
p
dx.
(20) Finallywehave 2871
4π
Z
∂D
h
(
1
ε
h
+ ε
h
k
2
)dH
1
≥ n = H
0
(P
1
) ≥ H
0
(P
∇u
).
(21)Eventuallyby (19),(20) (21) and bythesuperlinearitypropertyof the
lim inf
operator we 288a hievetheresult.
2894.3 Upper bound 290
In[9℄forthe onstru tionoftheoptimalsequen eitis ru ialtousearesultdueto Cham-291
bolle and Doveri (see [11℄). This result states that it is possible to approximate, in the 292
H
1
-norm, afun tion
u ∈ W
1,2
(Ω \ C)
(where
C
is a losed set), by means of asequen e 293of fun tions
u
h
∈ W
1,2
(Ω \ C
h
)
withC
h
onvergenttoC
in theHausdor metri . In our 294asethis argumentdoes notapply due topresen e of ase ond orderdierentialoperator. 295
Neverthelesssin eweworkonlywithsetofpointsitispossibletobuildanoptimalsequen e 296
inamoredire tway. 297
Theorem4.3. Let
h ∈ N
go to+∞
. Letε
h
be asequen eof positive onverging to0
. For 298every
u ∈ ∆AM
p,2
(Ω)
thereexistsasequen e
{(u
h
, D
h
)}
h
⊂ Y (Ω)
H- onvergingtou
su h 299 that 300lim sup
h→+∞
F
ε
h
(u
h
, D
h
) ≤ F(u).
(22)Proof. Westartbythe onstru tionofthesequen e
D
h
. Letn
bethenumberofpointsx
i
301in
P
∇u
. Then wetakeD
h
=
S
n
i=1
B
ε
h
(x
i
)
. SothatL
2
(D
h
) → 0
,1
ε
h
L
2
(D
h
) → 0
and∂D
h
302onvergeswith respe t tothe Hausdor distan eto
P
∇u
. Moreoverforh
largeenoughwe 303mayassume
B
ε
h
(x
i
) ∩ B
ε
h
(x
j
) = ∅
fori 6= j
. Nowwebuildu
h
. Let{ρ
h
} ⊂ R
besu h that 304ρ
h
≥ 0
andρ
h
→ 0
whenh → ∞
. Letθ
h
∈ C
∞
(Ω)
withthefollowingproperty: 305
θ
h
= 1
onB
ρh
2
(x
i
)
foranyi = 1, ..., n
0 ≤ θ
h
≤ 1
onB
ρ
h
(x
i
) \ B
ρh
2
(x
i
)
foranyi = 1, ..., n
θ = 0
onΩ \ B
ρ
h
(x
i
)
foranyi = 1, ..., n
k∇θ
h
k
∞
≤
ρ
1
h
.
(23)Weset
u
h
= (1 − θ
h
)u
. Itisnotdi ultto he kthat{(u
h
, D
h
)}
h
⊂ Y (Ω)
andH- onverges tou
. We laimthatthepair(u
h
, D
h
)
realizestheinequality(22)forasuitable hoi eofthe sequen eρ
h
. Bymakingthe omputationwehave∇u
h
= (1 − θ
h
)∇u − u∇θ
h
.
Then
Z
Ω
|∇u
h
− U
0
|
p
dx =
Z
Ω
|∇u − U
0
− θ
h
∇u − u∇θ
h
|
p
dx,
sothat 306
lim sup
h→+∞
Z
Ω
|∇u
h
−U
0
|
p
dx ≤ lim sup
h→+∞
(
Z
Ω
|∇u−U
0
|
p
dx)
1
p
+(
Z
Ω
|θ
h
∇u|
p
dx)
1
p
+(
Z
Ω
|∇θ
h
u|
p
dx)
1
p
p
.
(24) Sin e|∇u|
p
∈ L
1
(Ω)
,wehavebyapplyingthedominated onvergen etheorem
R
Ω
|θ
h
∇u|
p
dx →
307
0
. Let us fo us on thetermR
Ω
|∇θ
h
u|
p
. Bythe Sobolev embedding we have
u ∈ L
p
∗
(Ω)
308
with
p
∗
=
2p
2−p
andhen e|u|
p
∈ L
p
∗
p
(Ω)
, withp
∗
p
=
2
2−p
. 309By (23), using Holder's inequality with dual exponents
2
2−p
and2
p
, and taking into a ountthatp < 2
Z
Ω
|∇θ
h
u|
p
dx
≤
n
X
i=1
Z
B
ρh
(x
i
)\B
ρh
2
(x
i
)
|∇θ
h
u|
p
dx =
n
X
i=1
Z
B
ρh
(x
i
)
|∇θ
h
u|
p
dx −
Z
B
ρh
2
(x
i
)
|∇θ
h
u|
p
dx
≤
n
X
i=1
(
Z
B
ρh
(x
i
)
|∇θ
h
|
2
dx)
p
2
kuk
L
2
2−p
(Ω)
≤
n
X
i=1
kuk
L
p
∗
(Ω)
(
π
2
ρ
2
h
ρ
p
h
) → 0.
(25)From(24)itfollowsthat
lim sup
h→+∞
Z
Ω
|∇u
h
− U
0
|
p
dx ≤
lim
h→+∞
(
Z
Ω
|∇u − U
0
|
p
dx)
1
p
| + (
Z
Ω
|θ
h
∇u|
p
dx)
1
p
+ (
Z
Ω
|∇θ
h
u|
p
dx)
1
p
p
=
(
Z
Ω
|∇u − U
0
|
p
dx)
1
p
p
=
Z
Ω
|∇u − U
0
|
p
dx.
(26)Nowwe ompute
∆u
h
. Theidentitydiv(f A) = f divA + ∇f · A
yields∆u
h
= (1 − θ
h
)∆u − 2∇θ
h
∇u − ∆θ
h
u.
Thenby hoosing
ρ
h
smallenoughwehavefrom(23) 310lim sup
h→+∞
Z
Ω\D
h
|∆u
h
|
2
dx ≤ lim
h→+∞
Z
Ω\D
h
|∆u|
2
dx →
Z
Ω
|∆u|
2
dx.
(27)Finallysin efor
h
largewehaveB
ε
h
(x
i
) ∩ B
ε
h
(x
j
) = ∅
fori 6= j
weget 311lim
h
1
4π
Z
∂D
h
(
1
ε
h
+ ε
h
k
2
)dH
1
= lim
h
n
X
i=1
1
4π
Z
∂B
εh
(ε
h
1
ε
h
k
2
)dH
1
= n = H
0
(P
∇u
).
(28)By re allingthat the
lim sup
is sublinear operation and by (26),(27),(28), wea hievethe 312result.
3134.4 Variational property 314
We on lude this se tionby properly statingand provingthe parti ular versionof funda-315
mentalTheorem,whi his,inthis ase,adire t onsequen eofTheorems4.1,4.2,4.3. The 316
proof anbea hievedbya lassi alargument(see[7℄, Se tion
1.5
). Howeverweprefer to 317give the proof in order to make lear that the lassi al variational setting is not dire tly 318
available,andthereforethevariationalpropertyhastobeproven. 319
Theorem4.4. Let
h ∈ N
go to+∞
. LetF
ε
andF
begiven respe tively by(15) and(14). If{ε
h
}
is a sequen e of positive numbers onverging to zeroand{(u
h
, D
h
)} ⊂ Y (Ω)
su h thatlim
h→+∞
(F
ε
h
(u
h
, D
h
) − inf
Y
(Ω)
F
ε
h
(u, D)) = 0,
then thereexists asubsequen e
{(u
h
k
, D
h
k
)} ⊂ Y (Ω)
and aminimizeru
ofF(u)
withu ∈
320∆AM
p,2
(Ω)
,su hthat{(u
h
k
, D
h
k
)}
H- onverges tou
. 321Proof. WeknowfromTheorems4.2and4.3that
F
ε
Γ
- onvergestoF
. Letu ∈ ∆AM
p,2
(Ω)
besu hthat
F(u) ≤
inf
∆AM
p,2
(Ω)
F(u) + δ.
FromTheorem4.3there existsasequen e
{(§ ˜
u
h
, ˜
D
h
)} ⊂ Y (Ω)
,su hthatinf
∆AM
p,2
(Ω)
F + δ ≥ F(u) ≥ lim sup
h→+∞
F
ε
h
( ˜
u
h
, ˜
D
h
).
Thensin e
δ
isarbitraryitfollowsthat 322lim sup
h→+∞
inf
Y
(Ω)
F
ε
h
≤ lim sup
h→+∞
F
ε
h
( ˜
u
h
, ˜
D
h
) ≤
∆AM
inf
p,2
(Ω)
F.
(29)
Letnow
{(u
h
, D
h
)} ⊂ Y (Ω)
besu h thatlim
h→+∞
(F
ε
h
(u
h
, D
h
) − inf
Y
(Ω)
F
ε
h
(u, D)) = 0
. ThenfromTheorem4.1,uptosubsequen es,thesequen e{(u
h
, D
h
)}
h
H- onvergestosomeu ∈ ∆AM
p,2
(Ω)
. ThenbyTheorem4.2 andtakingintoa ount(29)wededu einf
∆AM
p,2
(Ω)
F ≤ F(u) ≤ lim inf
h→+∞
Y
inf
(Ω)
F
ε
h
≤ lim sup
h→+∞
inf
Y
(Ω)
F
ε
h
≤
∆AM
inf
p,2
(Ω)
F.
Thenweeasilygetthethesis.
3235 Approximation by smooth fun tion 324
ByfollowingtheBraides-Mar h'sapproa hin[9℄weapproximatethemeasure
H
1
⌊∂D
bythe 325
Modi a-Mortola'senergydensitygivenby
(ε|∇w|
2
+
1
ε
W (w))dx
whereW (w) = w
2
(1 − w)
2
326 andw ∈ C
∞
(Ω)
. Thenextstepistorepla etheregularset
D
withthelevelset ofw
. Let 327us set
Z = {∇w(x) = 0}
. BySard's Lemma we havethatL
1
(w(Z)) = 0
. In parti ular, 328
if
w
takes values into the interval[0, 1]
, we infer that for almost everyt ∈ (0, 1)
the set 329Z ∩ w
−1
(t)
is empty. Consequently foralmost every
t ∈ (0, 1)
thet
-level set{w < t}
is a 330regularsetwithboundary
{w = t}
. Now,sin ewewanttorepla ethesetD
,weneedthat 331{w < t} ⊂⊂ Ω
. Thenwerequire1 − w ∈ C
∞
0
(Ω; [0, 1])
. Furthermore foralmosteveryt
,we 332have
k({w = t}) = div(
∇w
|∇w|
).
Fromallofthisweareled todenethefollowingspa e: 333S(Ω) = {(u, w); u ∈ W
0
1,p,2
(div; Ω); 1 − w ∈ C
0
∞
(Ω; [0, 1])}
(30)and having in mind the oarea formula, the following sequen e of fun tionals dened on
S(Ω)
G
ε
(u, w) =
Z
Ω
w
2
|∆u|
2
dx +
1
8πC
Z
Ω\{∇w=0}
(
1
β
ε
+ β
ε
div(
∇w
|∇w|
)
2
(ε|∇w|
2
+
1
ε
W (w))dx
+
Z
Ω
|∇u − U
0
|
p
dx +
1
γ
ε
Z
Ω
(1 − w)
2
dx,
(31) withC =
R
1
0
pW (t)dt
. Thelast termfor esw
ε
be1
almosteverywhereinthelimit. From 334nowontheparameters
ε
,β
ε
,γ
ε
willberelatedasfollows 335lim
ε→0
+
β
ε
γ
ε
= 0,
(32) 336lim
ε→0
+
ε| log(ε)|
β
ε
= 0.
(33)The onvergen e that playsthe role of the H- onvergen e is the following. With a slight 337
abuseofnotationthis onvergen ewillbestill denotedbyH. 338
Denition5.1. Let
h ∈ N
goto+∞
and{(u
h
, w
h
)}
h
beasequen eS(Ω)
. SetD
t
h
= {w
h
<
339
t}
. We say that{(u
h
, w
h
)}
h
H- onverges tou ∈ ∆AM
p,2
(Ω)
, if for every
t ∈ (0, 1)
the 340sequen e
{(u
h
, D
t
h
)}
h
inY (Ω)
H- onvergestou
. 341AsinthepreviousSe tion,weadoptetheadho denitionof
Γ
- onvergen ewithrespe t 342tothe onvergen eabove. 343
Denition 5.2. Let
h ∈ N
go to+∞
. We say thatG
ε
Γ
- onverges toF
if, for every 344sequen e ofpositive numbers
ε
h
→ 0
andfor everyu ∈ ∆AM
p,2
(Ω)
,we have: 345