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E. O SSANNA
Comparison between the generalized mean curvature according to Allard and Federer’s mean curvature measure
Rendiconti del Seminario Matematico della Università di Padova, tome 88 (1992), p. 221-227
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Curvature according to Allard
and Federer’s Mean Curvature Measure.
E.
OSSANNA(*)
ABSTRACT - We compare two well known
generalized
notions of mean curvature for theboundary
of a convexbody:
Federer’s mean curvature measure, de- fined via Steiner’s formula, and Allard’sgeneralized
mean curvature, which is a vector measure obtained via the first variation of the area. Thecompari-
son is got
by
a suitableapproximation
lemma for convex sets.Our purpose is to compare the
generalized
mean curvature(accord- ing
toAllard)
of a convexbody K
to its mean curvature measure(ac- cording
toFederer).
We recall that abody
K of R n is acompact
subsetof R n such that k #
o.
Ourresult,
which is stated in Theorem1,
followsapproximating
Kby
a suitable sequence ofregular
convexbodies,
whose existence is assured
by
Lemma 2.After this work was
completed
we have been informedby Joseph
Fu that he has
recently
obtained[FU], by
differentmethods,
a similar(unpublished)
result in the context of sets with ageneralized
unit nor-mal bundle.
First we recall some useful facts.
Let K be a convex
body
ofR n,
letp(K, .):
be the nearest-point
map for K and defineIf one considers the set
Ag(K, E) _ ~x
EKg x)
EE~,
where E is(*) Indirizzo dell’A.:
Dipartimento
di Matematica, Universita di Trento,38050 Povo (Trento),
Italy.
Research
supported by
C.N.R.fellowship
at theDepartment
of Mathematics of TrentoUniversity.
222
any Borel subset of R n and
K~ _ Ix x) El,
then[SCH1]
there are the so called Federer’s curvature measures of
K,
denotedby
~m (K, .),
m =0, ..., n
and defined on the Borel sets of R n in such a way thatwhere
«(k) 11).
Inparticular
we call~n _ 2 (K, .)
the mean curvature measure.
One can also consider the set
I
(p(K, x), u(K, x))
where A is any Borel subset of R n xsn-l.
In this case one finds that
[SCH2]
there are n measures,.),
m =
0,
... , n -1,
defined on the Borel sets of R n xSn- 1
and called thegeneralized
curvature measures ofK,
such thatMoreover let H be the
generalized
mean curvature of Kaccording
to
Allard,
defined so thatfor each vector field X E
C 6 (U),
where U is an open subset of R n.We shall
give
also the definition ofstratification
of a measure de-fined on the
product
of two sets.LEMMA 1
[SIM].
Let a be a Radon measure on R n xsn-l
and consider the Radon measure a on R n suchthat a(A) = a(A
xfor
each Borel set A c R n. Then
for
almost all x E R n there is a Radonmeasure
Àx
onS n -1
such thatfor
each Borel set BCSn-1
thefunction Àx (B)
is thedensity of
the measure PB withrespect of
~, where PB(A) =
= a(A
xB).
From thisdecomposition of
the measure a onegets
for
eachfunction g(x, y)
EC3(Rn
xWe call
(~, Àx)
the stratification of the measure a.THEOREM 1. Let K be a convex
body of R n
let H be thegeneralized
mean curvature
of K
and~n - 2 (K, .)
the mean curvature measureof
K.Then
for
each Borel set E c R n we havewhere
(~n _ 2 (K ), Àx) is
thestratification of the generalized
curvaturemeasure
On _ 2 (K)
andb~,x
is thebarycenter of
the measureÀx.
For the
proof
of the theorem we need theapproximation
lemma be-low. First we recall that
[HUT]
the oriented varifold associated to anoriented
hypersurface
M of R n is the Radon measuresuch that for each x one has
where v is the unit normal field to the surface M.
LEMMA 2. Let K be a convex
body ofRn,
then there is a sequenceof
convex bodies such that
aKj
=Mj
is a smoothsurface
and suchthat the
following properties
hold:i) Kj -dH K,
wheredH stays for Hausdorff distance;
ii)
the orientedvarifolds
lij associated to thesurfaces Mj
convergeweakly
to thevarifold
~c associated to thesurface
3K = M.PROOF. Let K be a convex
body
of R n and M itsboundary,
suppose thatBr (0)
c K and K cBR (0),
for suitable r > 0 and R > 0. Consider the function u: R n -~ R defined in thefollowing
way:where
ol
n M. Note that the functioniM
is well de-fined and
iM(x);é
0 for everyIn this case M consists of the
points
x E R n such thatu(x)
= 1.Clearly
the function u is convex andlipschitz continuous,
moreoverthe
gradient
exists for almost all x, and where Vu is defined wehave
1IR - 1/r.
Now be a sequence of mollifiers and define the functions uj = u * Y)j. This way we
get
a sequence of smooth convex functions such that:224
(a)
convergesuniformly
to the function u;(b)
for every x we have1IR - 1/r.
Now consider the sets
Ki = 11 j
E N. One can seeeasily
that the setsKj
are convex anduniformly bounded,
hencethey
are convex bodies.
The statement
i)
of the lemma follows from(a)
after some calcula- tions. Moreover observethat, being Kj
convexbodies,
convergencei) implies
From
(b)
weget
that each setMj = Ix (x) = 1 ~, boundary
ofthe convex
body
is a smoothhypersurface
of R n.In what follows we denote
by
v the unit outward normal to M(v
is defined almosteverywhere)
andby vj
the unit outward normal toM;.
Now we shall prove statement
ii)
of thelemma,
that is ~.As a
first step
we consider the vector measuresand their total variation measures
and we shall prove that
To obtain
~~
we use thedivergence
theorem and the convergence(1), getting
for each vector fieldand we extend
(4)
to vector fieldsbelonging
toC8, using
thedensity
ofCj
inC 8
and the uniform boundness of the convex bodiesK~ .
Next we show that
p~ ~ 1
2013"I [31. By
convergence(2)
weget
and on the other hand
by i)
we havein
fact, i) implies
that for every E > 0 there are r > 0 and J E N suchthat,
if we set e = 1 +s/r,
it clg
c ~ forall j
>J,
fromwhich, again for j > J,
follows.Thus, being l;3j I
and finite measures,(3)
follows from(5)
and(6) [HAL].
The second
step
consists inproving that,
if there is asubsequence
of the sequence of Radon and a Radon mea- sure « such that
then a = fl. For this we consider the stratification
(~ Xz )
of the measure« and a then we have
and from
(3)
and(7)
weget
which
implies
Moreover
since !3j
~ a, between the twomeasures !3
and athere is the
relationship
whereb(x) = J
fY dÀx.
Buts~-1
~
=~3 ~ ,
hencev(x) I
=b(x) 1!31,
whichimplies
f y dXz
=v(x) for 1!3I-almost
all that issn-1
1f3I-almost everywhere. Now, using (8)
and(9),
we can prove a = 11, infact for each x we have
226
Now we end the
proof
of statementii)
of the lemma. Assumeby
contradiction there is a function such that
f g(x, y) dp.j
does not converge tof g(x, y) dp..
Then thereRn x sn-l
are a number e and a
subsequence
such thatOn the other hand one has
(R n
x Sn -1 ) ~
C Vk. Hence there is a fur-ther
subsequence
that convergesweakly
to some measure,which, by
the secondstep,
must be and this contradicts(10).
PROOF OF THEOREM 2. Let be the sequence introduced in the Lemma 2. From the weak convergence of the
varifolds uj
wehave
for each vector field X E
Co (R n ).
Hence,
for the definition ofgeneralized
meancurvature,
we have alsowhere
Hj
is the mean curvature vector of thesurfaces dKj.
Now if we let E be a Borel set of R n such that
H(aE)
= 0 and~n - 2 (K, aE)
=0,
wehave [SCH2]
which
implies
inparticular
But
aKj
is aregular surface,
thus we havemoreover,
being H(8E)
=0,
convergence(11) implies
Hence,
for each Borel set E c R n such thatH(3E)
= 0 and¢n _ 2 (K, 3E)
=0,
weget
and this
equality
holds also for every Borel setREFERENCES
[FU] J. H. G. Fu,
private
communication (1991).[HAL] P. R. HALMOS, Measure
Theory, Springer-Verlag,
New York-Berlin (1974).[HUT] J. E. HUTCHINSON, Second
fundamental form for varifolds
and the exis-tence
of surfaces minimizing
curvature, Indiana Univ. Math. J., 35 (1986), pp. 45-71.[RES] Yu. G. RESHETNYAK, Weak convergence
of completely
additive vectorfunctions
on a set, Sibirsk. Mat. Z., 9 (1968), pp. 1386-1394.[SCH1] R.
SCHNEIDER,
Curvature measuresof
convex bodies, Ann. Mat. PuraAppl.,
(4) 116 (1978), pp. 101- 134.[SCH2] R.
SCHNEIDER, Bestimmung
konvexerKörper
durchKrümmungmaße,
Comment. Math. Helvetici, 54 (1979), pp. 42-60.
[SIM] L. SIMON, Lectures on
geometric
measuretheory, Proceedings
of theCentre for Mathematical
Analysis,
Australian Nat. Univ. Canberra,Australia,
vol. 3 (1984), p. 230.Manoscritto pervenuto in redazione il 4 ottobre 1991.