A NNALI DELLA
S CUOLA N ORMALE S UPERIORE DI P ISA Classe di Scienze
P AOLO A LBANO
P IERMARCO C ANNARSA
Structural properties of singularities of semiconcave functions
Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4
esérie, tome 28, n
o4 (1999), p. 719-740
<http://www.numdam.org/item?id=ASNSP_1999_4_28_4_719_0>
© Scuola Normale Superiore, Pisa, 1999, tous droits réservés.
L’accès aux archives de la revue « Annali della Scuola Normale Superiore di Pisa, Classe di Scienze » (http://www.sns.it/it/edizioni/riviste/annaliscienze/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisa- tion commerciale ou impression systématique est constitutive d’une infraction pénale.
Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques
http://www.numdam.org/
Structural Properties of Singularities
of Semiconcave Functions
PAOLO ALBANO - PIERMARCO CANNARSA
Abstract. A semiconcave function on an open domain of R" is a function that can be
locally represented
as the sum of a concave functionplus
a smooth one. Thelocal structure of the
singular
set(non-differentiability points)
of such a functionis studied in this paper. A new
technique
ispresented
to detectsingularities
that propagatealong Lipschitz
arcs and, moregenerally, along
sets ofhigher
dimension.This
approach
is then used toanalyze
thesingular
set of the distance function froma closed subset of
Mathematics
Subject
Classification (1991): 26B25(primary),
28A78, 49L20, 41 A50(secondary).
(1999), pp. 719-740
1. - Introduction
Although
the term"singularity"
maysuggest
the idea of a technicaltopic
for
specialists,
we believe that theobject
of this paper could be of interest for ageneral
audience. Infact,
we shallstudy
the set ofpoints
at which a(semi)concave
function u : S2 ~R,
defined on an open domain Q c failsto be differentiable.
Such a set, hereafter denoted is "small" if estimated
by Lebesgue
measure:
being locally Lipschitz,
u is also differentiable almosteverywhere
in Q. On the other
hand,
a set ofLebesgue
measure zero can be very "bad"and have no structure whatsoever. For a concave
function, however,
onemight conceivably
to be a moreregular
set than for ageneral Lipschitz
continuous function.
A
possible approach
for thisanalysis
is togive
upper bounds for the sin-gular
set. Forinstance,
one can show can be coveredby countably
many
Lipschitz hypersurfaces
of dimension n -1,
or, in thelanguage
of geo- metric measuretheory, that £(u)
iscountably (n - 1)-rectifiable. Apart
fromPartially supported by
the Italian NationalProject "Equazioni
Differenziali e Calcolo delle Varia- zioni".Pervenuto alla Redazione il 5
maggio
1999 e in forma definitiva il 28luglio
1999.earlier contributions for
specific problems
like in[ 16],
to ourknowledge
the firstgeneral
results in this direction are due toZajicek [29], [30]
andVesely [25], [26].
Similarrectifiability properties
were later extended to semiconcave func- tions in[3].
Related andimproved
versions of these results can be found in[1], [2], [5].
Another
perspective, opposite
to theprevious
one, is to obtain lower boundsfor the
singular
set. We shall hereadopt
such apoint
ofview, trying
toanswer the
following
naturalquestion:
how to find the isolatedsingularities
ofa concave function u ?
Conversely:
are there conditionsensuring
that agiven point belongs
to a connectedcomponent
of dimension v > I? In the latter case, we say that thesingularity
at xopropagates along
av-dimensional set.
This
problem
was first studied in[10]
for semiconcave solutions to Ha- milton-Jacobi-Bellman(HJB) equations,
and then in[4]
forgeneral
semiconvexfunctions. In the first
reference, singularities
were shown topropagate just along
a sequence ofpoints.
In the second one, on thecontrary,
conditionswere
given
to derive estimates for the Hausdorff dimension of thesingular
setin a
neighborhood
of apoint
xo Such conditions wereexpressed
interms of the
superdifferential
of u at xo-anonempty
convex set denotedby D+u(xo).
The results of[4], however,
have at least two drawbacks. The firstone is that
they
still allow the connectedcomponent of ~ (u ) containing
xo tobe a
singleton;
the second is thatthey require
theassumption
dimD+u (xo)
n.In the
present
paper, wedevelop
a new method tostudy propagation
ofsingularities addressing
each of the issues we have raised above. For this purpose, we introduce atopological
condition onD+u (xo)
thatimplies
norestriction on the dimension of this set. Under such an
assumption,
we showthat ~ (u)
contains theLipschitz image
of a v-dimensional convex set, and that such animage
haspositive
v-dimensional Hausdorffdensity
at xo, for someinteger v >
1 that wecompute explicitly.
Besides
being
morepowerful,
the construction set forth in this paper seemsmore
straightforward
than the one of[4]:
thegeometric assumption ensuring
the
propagation
ofsingularities
iscertainly
easier to use and understand in thepresent
form. All thisbeing said,
let us also note that a more restrictivesemiconcavity property
is hererequired
for u than in the above reference.For the case of v =
1,
an earlier version of ourpropagation
theorem wasgiven by
the authors in[ 1 ] .
Even in thisspecial
case,however,
the result wehere propose
improves substantially
the one obtained in[ 1 ],
asexplained
inRemark 4.6 below.
Since convex
analysis occupies
such a centralposition
inmathematics, good
reasons for
studying properties
of convex functions should be familiar to mostreaders.
In addition to the above
considerations,
we would like to mention theapplication
that motivated ourpersonal
interest in thisproblem, namely
theanalysis
of thesingular
set of solutions to HJBequations. Except
for localresults,
thetheory
of theseequations
is based on suitable notions of weaksolutions,
assingularities
maydevelop
even if the initial data are smooth. On the otherhand,
the solutions of interest forapplications
- at least forproblems
with
regular
data - are semiconcave.Indeed,
the firstglobal
existence anduniqueness
results for HJBequations
were obtained in such a class offunctions,
see
[15], [20]
and[22]
for further reference. Even in the context of more recent PDEtheories,
likeviscosity
solutions or minimax solutions(see [12], [13], [14]
and
[24]), semiconcavity
has a role toplay as
itrepresents
a maximalregularity
property
ofgeneralized
solutions.Semiconcavity
results forviscosity
solutionsto HJB
equations
and for the value function of relatedOptimal
Controlproblems
are described in
[6], [21] ]
and[8], [9], [10], [18], respectively.
For easier
application
to HJBequations,
we will formulate ourpropagation
results for semiconcave - rather than concave - functions. In order to
keep
the
length
of this paper undercontrol, however,
we willjust present
one of thepossible applications, discussing
the classical eikonalequation.
Moregeneral
types
of HJBequations
will be studied in aforthcoming
paper.As is
well-known,
the distance functionds
from anonempty
closed setS C Rn is a semiconcave solution of the eikonal
equation =
1. From thepoint
of view of bestapproximation theory,
thesingularities
ofds
have beeninvestigated by
many authors. In[7],
the is describedproving that,
in the case of n =
2,
the non-isolatedsingularities
of the metricprojection
propagate along Lipschitz
arcs. Such a result is extended to Hilbert spaces in[28].
As anapplication
of thepropagation
result of Section5,
in thepresent
paper we will construct connectedcomponents
ofhigher
dimension.To conclude this introduction let us
explain
how the paper isorganized.
Section 2 contains the
general
notation used in thesequel.
In Section 3 werecall the basic
properties
of semiconcavefunctions,
of theirsuperdifferentials,
and of their
singular
sets. The next two sections are devoted topropagation
of
singularities:
we treatpropagation along
arcs in Section4,
andthen,
in Section5, along
sets ofdimension v >
1. The reason fortreating
the one-dimensional case
first,
is that the Hausdorff estimate for thedensity of £ (u)
isimmediate if v =
1,
and so our method becomesreally elementary. Finally,
inSection
6,
we discuss the above mentionedapplication
to the distance function.2. - Notation
Let n be a
positive integer.
We denoteby (., .) and I
the Euclidean scalarproduct
and norm in R n. For any R > 0andxoczr n
we setand we abbreviate
BR
=BR (0).
We denoteby B R (xo)
the closure ofBR (xo).
Let A be a subset of R . We use the notation
diam(A)
for the diameter of A.We write
to mean that x E A and x xo.
Moreover,
for afamily
of subsetsof
R’~,
we use thesymbol
to denote a sequence xi E
Ai
iconverging
to x.Let N be another
positive integer.
We denoteby Lip(A; IRN)
the space of allLipschitz
continuous maps defined onA,
that is the space of all functionsf :
A -satisfying
for some constant
L >
0. We refer to any constant Lverifying
the aboveinequality
as aLipschitz
constant forf.
The infimum of such constants is theLipschitz
seminorm off,
denotedby Lip( f ).
Given an
integer
v E{ 1, ... , n },
we recall that A is said to be v-rectifiable if A cf (Rv)
for somemapping f
ELip(Rv; II~n ) .
We also agree with the convention ofsaying
that A is 0-rectifiable if A is asingleton.
Moregenerally,
we call a set A
countably v-rectifiable,
v E{O, ... ,
if A =Ui Ai
for somefamily
of v-rectifiable sets.For any real number V E
[0,11],
the v-dimensional Hausdorff measure of A is defined aswhere
and
r(t)
= is the Euler function.Moreover,
the Hausdorff dimension of A is defined as H-dim A =inf{v
> 0 :7~ (A) =0}.
If A isconvex, then 1í-dim A coincides with the classical dimension of
A,
that is the dimension of the smaller affinehyperplane containing
A.If
f
E then it is easy to show thatGiven a
nonempty
closed set S cR",
we denoteby ds
the Euclidean distance function fromS,
i.e.If S is convex, then denotes the normal cone to S at x, that is
3. - Basic
properties
of semiconcave functionsFor any xo, x 1 E we denote
by [xo, x I ]
the linesegment
The open
segment
is definedsimilarly.
Let A c R". A function u : is concave on A if
for any
pair
xo, xl E A such that[xo, xl ] C
A.Clearly,
the above notion reduces to the standard definition of concave function if A is convex. We now definea more
general
class of functions.DEFINITION 3.1. A function u : A - R is called semiconcave
if,
for someconstant C E
R,
for any xo, x I E A such that
[xo, x I] c
A. We refer to such a constant C as asemiconcavity
constant for u on A.It is easy to check that
(3.1)
u is semiconcave on A is concave on A .For an open set of Q c R" we can further extend the above class of functions
introducing locally
semiconcave functions.DEFINITION 3.2. A function u : ~ 2013~ R is called
locally
semiconcave in Q if u is semiconcave on everycompact
subset of Q. We denoteby SC(Q)
theclass of all
locally
semiconcave functions defined in Q.We now
proceed
to review somedifferentiability properties
oflocally
semi-concave functions in an open set. To
begin,
let us recall that any u ESC(Q)
islocally Lipschitz
continuous(see
e.g.[17]). Hence, by
Rademacher’sTheorem,
u is differentiable a.e. in Q and the
gradient
of u islocally
bounded.Then,
the set
is
nonempty
for any x E Q. The elements ofD*u(x)
will be called the reachablegradients
of u at x. Thesuperdifferential
of u at x isgiven by
theconvex hull of
D*u(x),
that isIt is shown in
[10]
thatD*u(x)
is contained in the(topological) boundary
ofD+u (x),
i.e.From
(3.3)
it follows thatD+u (x)
is anonempty compact
convex set and thatwhere L is any
Lipschitz
constant for u in aneighborhood
of x. Like forconcave
functions,
we have that u iscontinuously
differentiable at x if andonly
ifD+u (x)
is asingleton.
Now,
let C be asemiconcavity
constant for u on an open set Q’ C C Q.Then, using (3 .1 ),
one can show that a vector p Ebelongs
to thesuperdifferential
of u at apoint
xE Q’
if andonly
ifThe above
inequality
has several consequences. An immediatecorollary
is thefact
that,
for anypair x, x’
ES2’,
Inequality (3.6)
is also useful to check thevalidity
of many calculus rules for thesuperdifferential,
such as Fermat’srule,
that is 0 ED+u(x)
at any local maximum or minimumpoint x
for u, and the sum ruleNotice that the above inclusion reduces to an
equality
if at least one of thefunctions u, v is
continuously
differentiable at x. Another easy consequence of(3.6)
is the uppersemicontinuity
ofD+u
as a set-valued map, that isREMARK. The notation for
superdifferentials
and reachablegradients
isby
no means standard in the literature.
Here,
we haveadopted
aterminology
that is used in the
viscosity
solution context we are more familiarwith,
butanalogous concepts
-though
denoteddifferently
- arewidely
used in theliterature,
see e.g.[11].
Tohelp
the reader who is accustomed to thelanguage
of nonsmooth
analysis,
let us add a few comments.First,
we observe that the usual definition of thesuperdifferential D+u (.x)
isusually
different from ours,and can be
applied
to any function u. For semiconcavefunctions, however,
itcan be
proved
thatD+u (x)
isgiven by
formula(3.3),
and coincides in turnwith the
proximal superdifferential a P u (x ) . Moreover,
we note that reachablegradients
could be defined forlocally Lipschitz
functions as well. In this case, the convex hull ofD*u(x)
is apossible
characterization of Clarke’sgeneralized gradient au(x) ([11,
Theorem 8.1 p.93]),
which is thereforeequal
toD+u(x)
whenever u is semiconcave.
Finally,
for any u ESC(Q), D*u(.x)
coincideswith the
limiting subdifferential aL u (x)
of nonsmoothanalysis.
We conclude this brief review of the
generalized
differentials of a semicon-cave function with a characterization of reachable
gradients
that will be usedin the
sequel.
PROPOSITION 3.4. Let u E
Then, for
any x EQ,
PROOF. Let us denote
by D4u(x)
theright
hand side of(3.9).
SinceD+u
reduces to the
gradient
at anydifferentiability point
of u, we have thatD*u(x)
CNow,
to show the reverseinclusion,
let us fix apoint
p = pi,with pi
ED+u(xi) and xi
E Q as in(3.9). Recalling
the definition ofD*u,
forany
i E N we can find a vectorp7
ED*u(xi)
and apoint xi
EQ,
at which uis
differentiable,
such thatThen, x*
- x andas I - oo .
Hence,
p ED*u(x).
DThe last
part
of thispreliminary
section will be focused on thesingular set
of a semiconcave function u. More
precisely, given
u ESC(Q),
we denoteby
the set of all
points
x E Q at which u fails to be differentiable. Inlight
of the above
remarks,
such a set could be also described as the set ofpoints
x E Q at which
D+u(x)
is not asingleton
or,equivalently,
asThe
points of E (u)
are thesingular points,
orsingularities,
of u. For a moreaccurate
analysis
of thesingular
set let usdefine,
for anyinteger k
Ef 0, ... , n },
Then,
thefamily
is apartition
ofQ,
andThe next definition introduces the
magnitude
of apoint,
a naturalconcept
that will be used in thesequel.
DEFINITION 3.5. The
magnitude
of apoint
x E Q(with respect
tou)
is theinteger
If x is a
singular point,
then 1 n.As we noted
above,
the set of alldifferentiability points
of hasfull measure in Q.
Therefore, ~ (u)
has measure 0. Even asuperficial analysis
of the behaviour of a concave function
suggests
the idea that the "size" of should decrease as k increases. Arigorous
result for such aconjecture
can be
given
in terms of rectifiable sets.THEOREM 3.6. Let u E
SC(Q). Then, for
any k Ef 0, ... , n ~,
iscountably (n - k) -recti, fiable.
iscountably (n - I)-rectifiable
and
En (u) is at
most countable.The above theorem is
essentially
due toZajicek [30].
Extensions to moregeneral
classes of functions have been obtainedby
severalauthors,
asreported
in Section 1.
4. -
Propagation
ofsingularities along Lipschitz
arcsLet u be a semiconcave function in an open domain Q C M~. The rec-
tifiability properties of ~ (u),
recalled in the lastsection,
could beregarded
as
"upper
bounds"for ~ (u ) .
From now on, we shallstudy
thesingular
setof u
trying
to obtain "lower bounds" for such a set. Moreprecisely, given
apoint
xo we are interested in conditionsensuring
the existence of othersingular points approaching
xo. Thefollowing example explains
the nature ofsuch conditions.
EXAMPLE 4.1. The functions
are concave in
R 2,
and(0, 0)
is asingular point
for both of them.Moreover,
(0, 0)
is theonly singularity
for u 1 whileSo, (0, 0)
is the intersectionpoint
of twosingular
lines of u2. Notice that(0, 0)
has
magnitude
2 withrespect
to both functions asThe different structure
and £ (u2)
in aneighborhood
of xo iscaptured by
the reachablegradients.
Infact,
In other
words, (3.4)
is anequality
for u 1, and a proper inclusion for u2.The above
example suggests
that a sufficient condition to exclude the existence of an isolatedsingular point
xo should be thatD*u(xo)
fails to coverthe whole
boundary
ofD+u(xo).
As we shall see, such a conditionimplies
a much
stronger property, namely
that xo is the initialpoint
of aLipschitz singular
arc.We recall that an arc x in 1~n is a continuous map x :
[0, p]
~ p > 0.We shall say that x is
singular
for u if thesupport
of x is contained in Q andx(s) E E (u)
for every s E[0, p] .
Thefollowing
result describes the "arc structure" of thesingular set ~ (u ) .
THEOREM 4.2. Let xo E S2 be a
singular point of
afunction
u ESC(Q).
Suppose
thatThen there exist a
Lipschitz singular
arc x :[0, p]
-~Rn for
u, withx(O)
= xo, anda
positive
number 6 such thatMoreover,
xofor
any s E(0, p].
Observe that Theorem 4.2
gives
no information on themagnitude
ofx(s)
as a
singular point,
besides the trivial estimate 1k (x (s ) )
n.However,
Theorem 3.6
implies
that thesupport
of x contains at mostcountably
manysingular points
ofmagnitude
n. In otherwords,
there exists nosingular
arc ofconstant
magnitude equal
to n.REMARK. We note that condition
(4.1)
isequivalent
to the existence of two vectors, po E R’ and q ERn B 101,
such thatIndeed, (4.4)
and(4.5) imply
thatConversely,
if(4.1)
holds true, then
(4.4)
istrivially
satisfiedby
any vector po EaD+u(xo)BD*u(xo),
and
(4.5)
followstaking
-q in the normal cone to the convex setD+u(xo)
atpo. The
importance
of a condition oftype (4.4)
wasinitially pointed
out in[4].
REMARK. It is easy to see that the
support
of thesingular
arc x,given by
Theorem
4.2,
is a connected set of Hausdorff dimension 1.Indeed,
from theLipschitz continuity
of x it follows that thesupport
of x isI-rectifiable,
whileproperty (4.2) implies
that the 1-dimensional Hausdorff measure ofx([O, T])
ispositive.
The idea of the
proof
of Theorem 4.2 relies on thegeometric
intuition that the distance between thegraph
of u and a suitableplane through (xo, u(xo)),
transverse the
graph
of u, should be maximizedalong
thesingular
arc weexpect
to find. We will be able to construct such a transverse
plane using
a vectorof the form po - q, where po
and q
are chosen as in Remark 4.3.Indeed,
condition
(4.5) implies
thatPo - q rfi D+u(xo),
and so thegraph
ofis transverse to the
graph
of u. Wesingle
out thisstep
of theproof
in the nextlemma,
as such atechnique applies
to anypoint
xo of the domain of a concavefunction, regardless
of theregularity
of u at xo. For xo E 1:(u),
we will thenshow that the arc we construct in this way is
singular
for u.LEMMA 4.5. Let C be a
semiconcavity constant for
u inBR (xo)
C Q. Fixpo E
a D+u (xo)
and let q ER" B [01
be such thatDefine
Then there exists a
Lipschit.z
arc x : such thatMoreover,
where L is a
Lipschitz constant for
u inBR (xo).
PROOF. Let us
define,
for any s >0,
Notice that
Q~s
is the difference between the affine function in(4.6)
and thefunction which is a concave
perturbation
of u.Being strictly concave, ~s
has aunique
maximumpoint
inBR (xo),
thatwe term xs. For technical reasons that will be clear in the
sequel,
we restrictour attention to the interval cr, where a is the number
given by (4.8).
Let us define x
by
’
We now
proceed
to show that x possesses all therequired properties.
First,
we claim that x satisfies estimate(4.9). Indeed, by
the characterization ofD+u given
in(3.6),
we have thatfor any x E
BR (xo). Moreover, Po - q tt. D+u(xo)
in view of condition(4.7).
Since this fact
implies
that there arepoints
inBR (xo)
atwhich 0,
ispositive,
we conclude that
0,(x(s))
> 0. The last estimate and(4.13) yield
and so
(4.9)
follows from(4.8).
Second,
weproceed
to check(4.11).
For this purpose we notethat,
onaccount of estimate
(4.14),
the choice of cr forcesx(s)
EBR(xo)
for anys E
Hence, x (s )
is also a local maximumpoint
ofq5s. So, by
thecalculus rules for
D+u
we recalled in Section3,
for any s E
(0, a]. Clearly,
the last inclusion can be recast in the desired form(4.11).
Third,
to prove(4.10),
we show thatlims~o p(s)
= po, where p is defined in(4.11 ). Let 15
= for somesequence Sk
0.Then, taking
thescalar
product
of both sides of theidentity
with
p(sk) -
po andrecalling property (3.7),
we obtainNow,
observe that theright-hand
side above tends to 0 as k ~ o, in view of(4.14). Moreover, p
ED+u(xo)
sinceD+u
is uppersemicontinuous;
so,(q,15 - po)
> 0by assumption (4.7). Therefore, (4.15) yields 115 -
0 inthe limit as k -~ oo. This proves that
p
= po asrequired.
Finally,
let us derive theLipschitz
estimate(4.12).
Let r, s E[0, or].
Us-ing (4.11)
to evaluatex(s)
andx(r)
one caneasily compute
thatNow, taking
the scalarproduct
of both sides of aboveequality
withand
recalling (3.7),
we obtainHence,
for anybecause L
provides
a bound forD+u
inBR(xo).
Thiscompletes
theproof.
D_
PROOF OF THEOREM 4.2. To
begin,
let us fix a radius R > 0 such thatC S2 . We recall
that,
as noted in Remark4.3,
thegeometric assumption
that
a D+u (xo) B D*u(xo)
benonempty
isequivalent
to the existence of vectorspo E
and q
EII~’~ B 101 satisfying
Applying
Lemma 4.5 to such apair,
we can construct two arcs, x and p, thatenjoy properties (4.10)
and(4.11). Moreover,
the same lemma ensures that x isLipschitz
continuous and thatx(~) ~
xo for any s E(0, a].
Therefore,
it remains to show that the restriction of x to a suitable subin- terval[0, p]
issingular
for u, and that the diameter ofD+u(x(s))
is boundedaway from 0 for all s E
[0, p].
Infact,
it suffices to check the latterpoint.
Let us argue
by
contradiction: suppose that asequence Sk +
0 exists such thatdiam(D+u(x(sk)))
- 0 as k ---> oo.Then, by Proposition 3.4,
contrary
to(4.17).
REMARK 4.6. An earlier version of the above
technique
ofproof
was used in[1,
Theorem4.1] in
order to construct aLipschitz singular
arc x for u. The newidea introduced in the
present
paper, is the different choice of the function0,
to maximize. A direct consequence of such a choice is the existence of theright
derivative of x at
0,
that we were unable to obtain in[ 1 ] .
Such aproperty
willplay a
crucial role for futureapplications
to Hamilton-Jacobi-Bellmanequations.
Apart
from(4.2),
anotherentirely
new result is estimate(4.3)
for the diameterof
D+u along
thesingular
arc.5. -
Lipschitz singular
sets ofhigher
dimensionIn the
previous
section weproved
that thesingularities
of a function u ESC(Q) propagate along
aLipschitz image
of an interval[0, p],
from anypoint
xo E Q at which
D*u(xo)
fails to cover the wholeboundary
ofD+u(xo).
Sucha result describes a sort of basic structure for the
propagation
ofsingularities
of a concave function.
However,
concave functions may wellpresent singular
sets of dimension
greater
than 1. The nextexample
is a case inpoint.
EXAMPLE 5.1. It is easy to check that the
singular
set of the concavefunction
is
given by
the coordinateplane
Moreover,
Therefore,
one canapply
Theorem 4.2 with xo = 0 and po =0,
but thisprocedure only gives
aLipschitz singular
arcstarting
at0,
whereas one wouldexpect
a 2-dimensionalsingular
set.Actually,
a more carefulapplication
ofLemma 4.5
suggests
that asingular
arc for u shouldcorrespond
to any vectorq #
0satisfying (4.7). Moreover,
such acorrespondence
should be 1-to-1 inlight
of(4.10).
Since(4.7)
is satisfiedby
allvectors q
E such that~+~=1,~=0,
one canimagine
to construct the wholesingular plane
x3 = 0 in this way.
The next result
generalizes
Theorem4.2, showing propagation
ofsingular-
ities
along
a v-dimensional set. Theinteger
v > 1 isgiven by
the number oflinearly independent
directions of the normal cone to thesuperdifferential
of uat the initial
singular point,
asconjectured
in the aboveexample.
THEOREM 5.2. Let xo E Q be a
singular point of a functions
u ESC (SZ) . Suppose
thatand, having fixed
apoint
,define
Then a number p > 0 and a
Lipschitz
map such thatMoreover,
for
some 3 > 0.REMARK 5.3. As one can
easily realize,
Theorem 5.2 is an extension of Theorem 4.2. Theproperty
though
absent from the statement of Theorem5.2,
is valid in thepresent
case as well. Infact,
it can also be derived from(5.1), possibly restricting
the domainof f.
As in the
previous section,
we first prove apreliminary
result.LEMMA 5.4. Let C be a
semiconcavity constant for
u inB R (xo)
C Q. Fixpo E
a D+u (xo)
anddefine
Then a
Lipschitz
map i exists such thatMoreover,
where L is a
Lipschitz constant for
u inBR (xo).
PROOF. Let us set, for
brevity,
We
proceed
as in theproof
of Lemma 4.5 andconsider,
for any q EN B f 0},
the function
and the
point xq given by
the relationThen,
we define cr as in(5.4)
and fby
Arguing
as in theproof
of Lemma4.5,
we obtainand
Hence, denoting by h(q)
thequotient
in(5.9),
assertion(5.6)
follows.To prove
(5.5)
we must show thatFor this purpose, let
{qi } I
be anarbitrary
sequence in N f1B, B 101
such thatqi ~ 0. Since h is
bounded,
we can extract asubsequence (still
termed{qi })
such that exists and
for
some q
E Nsatisfying lq-1
= 1. We claim thatlimi--+oo h(qi )
=0,
which inturn
implies (5.10). Indeed,
let us setand observe that
p
ED+u(xo)
asD+u
is upper semicontinuous and f is con-tinuous at 0.
Taking
the scalarproduct
of both sides of theidentity
with
h (qi )
andapplying inequality (3.7),
we deduce thatwhere the last estimate follows from
(5.8).
In the limit as i - oo, the aboveinequality yields
-Hence, recalling that q E N,
we conclude thatp =
po. Our claim is thusproved.
The
reasoning
that shows theLipschitz
estimate(5.7)
is the same as in theproof
of Lemma4.5,
and is therefore omitted. D We are nowready
to prove the main result of this section.PROOF oF THEOREM 5.2.
Keeping
the notation N =N D+u(xo) (po)
as in theproof
of Lemma5.4,
let us denoteby L(N)
the linearsubspace generated by N,
andby
7r : R" 2013~L(N)
theortoghonal projection
of R’ ontoL(N).
Having
fixed R > 0 so that CQ,
let f : N Rn be the mapgiven by
Lemma 5.4.Arguing by
contradiction - as in theproof
ofTheorem 4.2 - the reader can
easily
show that a suitable restriction of f toN f1 Bp ,
0 p a, satisfies(5.3).
Inparticular, f(q)
for any q E N nBp. Moreover, (5.1)
is an immediate consequence of(5.5).
Therefore,
theonly point
of the conclusion that needs to bedemonstrated,
is estimate(5.2)
for the v-dimensional Hausdorffdensity
of thesingular
setf(N n Bp),
or, since HV is traslationinvariant,
We note that the above
inequality
can be deduced from the lower boundsince
Now, using
the shorter notationF (q ) = 7t(xo - f(q)),
we observe that(5.11 )
can in turn be derived from the lower bound
Indeed,
for anysufficiently
small r, say 0 rMp
where M :=Lip(f),
wehave that
The rest of our
reasoning
will therefore be devoted to theproof
of(5.12).
To
begin,
we notethat,
in view of(5.1 ),
the map F :N n Bp -~ L (N)
introducedabove can be also
represented
aswhere
Consequently,
the functionsatisfies
Let us define
where
rr
denotes the relativeboundary
ofN n Br
anddrr
the distance fromrr . Using
the limit(5.13),
it is easy to check thatNr # 0 provided
r issufficiently small,
say 0 rpo
p. We claim thatIndeed, having
fixed y ENr,
let us rewrite theequation F (q )
= y asNow,
observe that C and that the continuous mapHy (q)
satisfiesTherefore, applying Brouwer’s
Fixed PointTheorem,
we concludethat q
=Hy (q)
has asolution q
ESo,
our claim(5.15)
follows.Our next
step
is to obtain the lower boundfor the
density
of the setNr
introduced in(5.14).
Toverify
the above estimatelet q
be apoint
in the relative interior ofN, with le¡I
= 1.Then, using
thenotation
Ba
:=Ba
f1L(N)
to denote v-dimensionalballs,
we have thatfor some a E
(0, 1/2].
On account of(5.13),
there exists ro E(0, po)
such thatHence,
Now, combining (5.17), (5.18)
and the definition ofNr,
we discoverEstimate
(5.16)
is an immediate consequence of the last inclusion.Finally,
tocomplete
theproof,
it suffices to observe that(5.12)
followsfrom
(5.15)
and(5.16).
DRemark 5.5.
Though
clear from(5.2),
weexplicitly
note that Theo-rem 5.2 ensures
that,
in aneighbourood
of covers a rectifiable set of Hausdorff dimension v.Moreover,
from formula(5.1)
it follows that the set cE (u)
possessestangent
space at xo whenever the normalcone
N D+ u(xo) (Po)
isactually
a vector space. Thishappens,
forinstance,
whenxo is a
singular point
ofmagnitude k (xo)
n and one can find apoint
po in the relative interior ofD+u(xo),
but not inD*u(xo). Then,
it is easy to check thatND+ u (xo) ( pp)
is a vector space of dimension v = n -k (xo) .
6. -
Application
to the distance functionIn this section we examine the
singular points
of the distance functionds
associated to anonempty
closed subset S ofWe denote
by projs(x)
the set of closestpoints
in S to x, i.e.The next