R ENDICONTI
del
S EMINARIO M ATEMATICO
della
U NIVERSITÀ DI P ADOVA
G IANNI D AL M ASO
L UCIANO M ODICA
Integral functionals determined by their minima
Rendiconti del Seminario Matematico della Università di Padova, tome 76 (1986), p. 255-267
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Integral
GIANNI DAL MASO - LUCIANO MODICA
(*)
Introduction.
In this paper we
study
thefollowing problem
in Calculus of Va- riations : determine anintegral
functionalby
theknowledge
of the minima of the Dirichlet’sproblems
for Fwith linear
boundary values,
y that isby knowing
the numbersfor every p ERn and for every bounded open subset A of ~~.
Namely,
we show that theintegrand p)
can be calculatedby
adifferentiation process of the set function A ~
m(p, A) along
afamily
(A)o
of open subsets of Rn which shrinksnicely
to x as ~O ~ 0+.According
to W. Rudin([13],
ch.8),
afamily (Ag)
is said to shrink tox
nicely
as o - 0+ if for every ~O > 0(*)
Indirizzodegli
AA.: G. DAL MASO: Scuola InternazionaleSuperiore
diStudi Avanzati
(S.I.S.S.A.),
Miramare - Trieste(Italy);
L. MODICA :Diparti-
mento di Matematica, Universita di Pisa
(Italy).
where c > 0 is a suitable real constant
independent of e and I - | denotes
the
Lebesgue
measure in l~n.The main result we prove is the
following.
THEOREM I.
Suppose
that thef unction f :
Rn X Rsatis f ies
thef ollowing hypotheses :
(i) f (x, p)
is measurable in x and convex in p ;T hen, denoting
there exists a measurable subset NC ~~ with
INI
= 0 such thatfor
every p cR-BN
andfor
everyfamily of
open subsetsof
~~ which shrinks to xnicely
as e --~ 0+.Some comments.
(a)
Thesuperlinearity hypothesis (iii)
can bedropped
ifdepends only
on p forlarge Ipl I (see
remark1.3).
( b )
In the vector case(when u (x )
is a vector in andf
is defined onRn XRnm)
the same thesis(*)
holdsby assuming f quasi-convex
butby strenghtening (ii)
towith and a > 1
(see
theoremII).
Theproof
in this caserelies on a recent
approximation
result forquasi-convex
functions due to P. Marcellini[10]. (c)
The case ofnon-negative integrands f
de-pending
notonly
on x and Du but also on u is more delicate. Asan
example,
we treat here the case of uniformcontinuity
in u andu,
0)
= 0 for every x E R(see
theoremIII ) .
An
application
of theorem I is a useful andmeaningful
charac-terization of the
T-convergence
of a sequence ofequicoercive
func-tionals : see theorem IV. This theorem is an
important step
for ap-plying Ergodic Theory
in nonlinear stochastichomogenization (see
G. Dal Maso - L. Modica
[3]).
A
particular
case of theorem I was obtainedby
E. DeGiorgi
andS.
Spagnolo [5] when f
is aquadratic form,
i.e.Their
proof
relies onAloyers’
estimate of thesummability exponent
for the
gradients
of the solutions to the Eulerequation
of the cor-responding integral
functional F.Recently,
M.Giaquinta
andE. Giusti
[9]
have found ananalogous
estimate for thegradients
ofthe minima of
integral
functionals(even non-differentiable).
Neverth-less,
we havepreferred
toemploy
anelementary
and direct method forproving
theorem I.One may also consider the
problem
ofdetermining
anintegral
functional F
by
theknowledge
of the values of other variationalproblems
for.F’,
for instanceby knowing
the numbersfor every bounded open subset A of
RI, 2
>0,
2o EL2 (A)
or the num-bers
for every bounded open subset A of R" and 99 E
L2(A).
In both cases suitable reformulations of theorem I continue to hold. The first case
(1)
has been studied in many papers about -V- convergence(see,
forexample,
E. DeGiorgi -
T. Franzoni[4],
L. Car-bone - C. Sbordone
[1],
G. Dal Maso - L. Modica[2]),
the secondcase
(2)
is related to Fenchel’sduality
for convex functions(see,
forexample,
I. Ekeland - R.Teman [6],
R. T.Rockafellar [12]).
We thank the referee for some useful advice.
1. Proof of Theorem I.
Let us
begin by
aparticular
case of theorem I.1.1.
Proposition.
Let -+R be afunction
such thatf (x, p)
is measurable in x, convex in p, and bounded
from
below.If
there existsa real constant .R so that
f (x, p)
does notdepend
on xfor Ip ~ R,
thenthe thesis
(*) of
theorem I holds.PROOF. Let us fix x
straightforward application
of Jensen’sinequality gives
that~so we
easily
obtainIf we define
it remains to prove that there exists a measurable subset N C Rn with
= 0 such that
for every
x E Rn""N
and(Ae)
which shrinks to xnicely
as e --~ 0+.Since
f (x, p ) depends only
on p for and is convexin p,
wehave that
with M
independent
of x. On the other handf
is bounded frombelow,
so it follows that all the functions
f (.x, p )
areLipschitz
continuousin p, uniformly
withrespect
to xERn,
on the balllp
c 1~. If we observethat
a~ (x, y, p ) =
0 for everyp e R"
such that we may infer thatfor a suitable real constant K.
Now,
let us choose a countable dense subset D of R" and let usconstruct, by Lebesgue’s
diff erentiation theorem(see,
forinstance,
[13 ],
th.8.8)
a measurable subset N of R" with = 0 such thatfor every E
p E D
and which shrinks to xnicely
as ~O --~ 0+.For every e > 0 there exists a finite number Pl, ... , Pm of elements of D such that
so we have that
and we may conclude that
for every x E
R’°%N
and(Ag)
which shrinks to xnicely
-+ 0+.By taking
c-70+, proposition
1.1 isproved.
The
general
case of theorem I will be obtainedby
thef ollowing approximation
lemma.1.2 LEMMA.
I f f satisfies
thehypotheses of
theoremI,
then thereexists an
increasing
sequence(In) of functions
such thatf
= sup and eachfunction fulfils
theassumptions of proposition
1.1. hPROOF. For every hEN we define
The sequence is the usual
approximation
from below off by Lipschitz
continuous functions. In fact isLipschitz
continuousin p
(with Lipschitz
constanth),
for every and it is easy to prove,by remarking p )
is convex(hence continuous)
in p, that sup
ih
=f .
The same remark proves thath
so
f,(x, p)
is measurable in x.Finally,
a direct calculation shows thatp)
is convex in p.Then,
we define for h E N and for(x, p)
If is obvious that is measurable in x and convex in p . Since
the
superlinearity hypothesis (iii) gives
that there exist c E R andEll,
> 0 such thatThis concludes the
proof
of lemma 1.2.Now,
let us prove theorem I.Proof of
theorem I.First,
we prove that there exists a measuraDle set N’C Rn with==
0 such thatfor every and which shrinks to x
nicely
as.
Let D be a countable dense subset of R".By Lebesgue’s
differentiation theorem
(see,
forinstance, [13],
th.8.8),
there existsa measurable set N’C R" with = 0 such that
(3)
holds for everyx E
~8’~BN’,
p E D and(A(»
which shrinks to xnicely
as e --7 0+. Sincep)
islocally Lipschitz
continuousin p uniformly
withrespect
to x(by convexity
and(ii)),
it is easy to see that(3)
holds for every pNow,
we have at oncefor every
x E Rn""N’,
and(Au)
which shrinks to xnicely
as~O --~ 0+.
For the converse
inequality,
let be the sequencegiven by
lemma
1.2,
be thecorresponding
minima andNh
be the measurable subsets of R" with = 0given by proposition
1.1 forDefine Since for
every h E N,
we have thatand, by taking
the limit as h -7+
oo, we obtainfor every x E p e R" and which shrinks to x
nicely
ase 2013~ 0+.
Then,
theorem I isproved by choosing
N = N’ u Nil.1.3 REMARK. The coerciveness
hypothesis (iii)
in theorem I is crucial for theapproximation
lemma 1.2. Aparticular
non-coercivecase has been studied
by
N. Fusco and G. Moscariello[8],
who considernon-negative quadratic
formsand obtain the formula
( ~ )
withlimsup
instead of lim.However,
iff (x, p)
does notdepend
on x forlarge Ipl,
theorem 1 holds without any coercivenesshypothesis,
asproposition
1.1 shows.Theorem I can be
generalized
as follows.THEOREM II.
Suppose
that thef unction
Rsatis f ies
the
following hypothcscs :
(i) f(x, p)
is measurable in x andquasi-convex
in p(in
the[11 ] sense).
(ii) c c2(1 -~- d (xW )
E RnxRmn with 0ex > 1 real constants.
Then the thesis
(*) of
theorem I holds( u
is ac m-vectorfunction,
pis
identified
with a mxnmatrix) .
PROOF. The
proof
of theorem I can berepeated only substituting
lemma 1.2
by
theorem 1.2 of P . Marcellini[10 ] .
THEOREM III.
Suppose
thatf :
lEB.n X llg X -+ l~satis f ics
thefollowing hypotheses :
(i) f (x,
s,p)
is measurable in x, continuous in s, convex in p;(ii)
where rpl,-+ ll~ are convex
f unctions
and(iii) If (x, p) - f (X,
s2 ~1~) ~ I (1 +
81’1~)) w (181
- Bi X ER",
sl, where --~ R is a
function
such that(iv) /(x7 87 0)
== 0s)
e Rn x R.Then, letting
be the spaceof
theLipschitz
continuous tions on Rn anddenoting
there exists a measurable subset N
o f
Rn with _ 0 such thatfor
every x E s ER, p
E l~n andfor
everyfamily o f
open subsetsof
Rn which shrinks to xnicely
as e - 0+.PROOF. Let us introduce the
auxiliary
functionand note that
for every x E R".
Hypothesis (iv)
assures that the functionalsdecrease
by truncating
thefunction u,
hence the class ofcompeting
functions in the infima
(4)
and(5)
can be restricted to the functionssuch that
where A’ = A u
(« maximum principle »).
Let us fix x E R".
Then, by (ii)
and(iii),
we havethat
for every s E
R,
p and for every open setAe C B (x, e).
Let D be a countable dense subset of R.
By
theorem I there existsa measurable subset with = 0 such that
for every x E
R" - N, s
ED,
p and for everyfamily
whichshrinks to x
nicely
as e - 0+.Since, by ( ii )
and( iii ) ,
we haveit is easy to prove that
(7)
holds for every s ER,
and the thesis follows from(6).
1.4 REMARK. The same
« freezing
~>technique
of theprevious proof
could be extended also to the vector case.Indeed,
the use ofthe maximum
principle
can be avoidedby taking profit
of a resultby
N. Fusco and J. Hutchinson([7],
lemma4.1 ),
butby assuming
more
regularity
ont.
2. A characterization of
T-convergence.
Let us fix 0 C1 c c2, 0153> 1 and let ~ _ Cl,
C2)
be the set ofall functionals X
Ao R
denotes thefamily
of thebounded open subsets of
given by
otherwise,
where is any function such that is measurable
in x,
convexin p
andOf course,
W l a (A )
denotes the usual first order Sobolev space withsummability exponent
a.A notion of convergence for sequences of real-extended functions defined on a
topological
space, theI’-convergence (see
E. DeGiorgi
- T. Franzoni
[4]),
isparticularly
useful whenapplied
to the sequences in Y. We refer to G. Dal Maso - L. Modica[2]
for asystematic
andself-contained
study
of theT-convergence
on Y.The crucial
property
ofT-convergence
is ageneral
theorem onconvergence of minima. In
particular,
we are interested here in thefollowing proposition (see [2],
prop.1.18).
PROPOSITION 2.1.
Suppose
that(Ph)
is a sequence in F which T- converges as h --7+
00 to F.Then, for
every A EA0
anduo E
W1,«(A),
we have thatIn this
section,
our aim is to prove a converse of theprevious proposition
and so to obtain a characterization ofT-convergence
in Yby
the convergence of the minima of Dirichletproblems.
THEOnEM IV. Let
(Fn)
be a sequence inY,
let D be a dense subsetof
Rn and let 93 be afamily o f
bounded open subsetof
Rn whichcontains, for
any x acsubfamily
which shrinks to xnicely. Suppose
thatwhere
_ ~ ~ x,
existsfor every ~
E D and B E %.Then,
there exists afunctional .Z’~
such that(Ph) T-converges
to
.1~~
andfor
every p E R, and A EPROOF.
By proposition
2.1 it isenough
to prove that I’-con- verges to a functionalFoo E F.
It ispossible (see [2],
prop. 1.21 andcor.
1.22)
to define a metric on Y in such a way that(Y, d)
is a com-pact
metric space and the convergence of a sequence in(F, d)
isequi-
valent to
T-convergence. By taking profit
of thisresult,
it will suf- fice to provethat,
if(Fa(h»)
and(F,(h))
are twosubsequences
of(Fh)
which
h converge respectively
to and.F’’~ e F,
thenF ~ = F’~ .
IIndeed, by proposition
2.1 andby hypothesis
for
every $
E D and B E hence theorem Iyields
that there exists Nc Rn with = 0 such thatwhere
1’00
andf’~
denoterespectively
theintegrand
ofF~
and IFinally, f ~(x, p)
and are convex, .hencecontinuous,
in p so for everyx E Rn",N
and and the thesisfollows.
Acknowledgement.
This work has been realized in a National ResearchProject
in Mathematicssupported by
Ministero della Pub- blica Istruzione(Italy).
The authors are members ofGruppo
Na-zionale per l’Analisi Funzionale e le sue
Applicationi (Consiglio
Na-zionale delle
Ricerche).
One of the authors
(L.M.)
wishes to thank the International School for Advanced Studies(S.I.S.S.A.)
of Miramare(Trieste, Italy)
for thehospitality during
the work for this paper.REFERENCES
[1] L. CARBONE - C. SBORDONE, Some
properties of
0393-limitsof integral func-
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