A NNALI DELLA
S CUOLA N ORMALE S UPERIORE DI P ISA Classe di Scienze
R. H. N OCHETTO
M. P AOLINI
C. V ERDI
Optimal interface error estimates for the mean curvature flow
Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4
esérie, tome 21, n
o2 (1994), p. 193-212
<http://www.numdam.org/item?id=ASNSP_1994_4_21_2_193_0>
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Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques
http://www.numdam.org/
for the Mean Curvature Flow
R.H. NOCHETTO - M. PAOLINI - C.
VERDI(*)
1. - Introduction
It is known that the
singularly perturbed
reaction-diffusionequation,
witha smooth double
equal
wellpotential
T : R 2013~R,provides
anapproximation
for an interface£(t) evolving by
mean curvaturewhere V is the normal
velocity
of the interface£(t)
and rm is the sum of itsprincipal
curvatures[1,2,3,4,6,7,8,9,13,14].
Such anequation
was introducedby
Allen and Cahn
[1]
in order to describe the motion ofantiphase
boundariesin
crystalline solids,
thusshowing
its relevance inphase
transitions. It wasindependently suggested by
DeGiorgi [6]
as a variationalapproach
to the meancurvature flow. Such a connection has been
rigorously
establishedby Evans,
Soner and
Souganidis [9],
who haveproved
convergence of the zero level set of u, to thegeneralized
motionby
mean curvature[10],
evenbeyond
theonset of
singularities, provided
the limit interface does notdevelop interior;
seealso
[2,4,13]. Asymptotic analyses
were carried outprior
to those convergenceresults,
butthey apply only
to smooth evolutions[3,7,8,14].
For the
quartic
double wellpotential ~(~) = ( 1 - s2)2,
the solution u,exhibits a transition
layer
of width0(e)
across theinterface,
satisfieslUg
1in the whole R7 x
(0, +oo),
and tendsexponentially
fast to the limit values ±1.~*~ This work was partially
supported
by NSF Grant DMS-9008999, and by MURST (Progetto Nazionale "Equazioni di Evoluzione e Applicazioni Fisico-Matematiche" and "Analisi Numerica e MatematicaComputazionale")
and CNR (IAN and Contract 91.O 1312.01 ) of Italy.Pervenuto alla Redazione il 3 Settembre 1992 e in forma definitiva il 16 Settembre 1993.
This is
specially
inconvenient for numerical purposes because of the need to solve theproblem
in the entiredomain,
eventhough
the action takesplace
in a
relatively
smallregion. Computational
evidence shows that the location of theapproximate
interface may be very sensitive to theboundary
conditionfor bounded
domains,
and thus somehow unstable. It is thusimportant
forcomputational
purposes, and of theoretical interest aswell,
to examine the effect ofsubstituting
the smoothpotential by
In
fact,
the solution Uê of theresulting
double obstacle PDE attains the values u, = ±l outside a narrow transitionlayer
of order0 (~),
thusreducing
thecomputation of u,
to a thin n-dimensionalstrip (see [5,15]).
Suppose
the initial interface1(0)
is asmooth, bounded,
and closedhypersurface.
It is a consequence of the MaximumPrinciple
thatl(t)
is contained in the convex hull of1(0), conv(1(0)),
and thatl(t) eventually disappears
forfinite time
[10, Thm, 7.1b; 3,12].
We can then set the double obstacleproblem
in a bounded domain Q c
containing conv(L(O), impose
avanishing
fluxcondition on aSZ and
study
the evolution up to a finite time T.The
goal
of this paper is to prove anoptimal
errorestimate,
valid before the onset ofsingularities,
for the distance between the mean curvature flowl(t)
and the
approximate
interfaceLê(t) = {x u~(x, t)
=0}.
Infact, assuming
that I
f (x, t)
E SZ x[0, T] :
x El(t)l
issufficiently regular (see
Section5.1)
and u,
0)
has the correctshape (see
Section5.2),
we prove thatwhere
CT
is a constantdepending
on T butindependent
of e and dist is the Hausdorff distance. This estimate isoptimal
andimproves
the results obtainedby
Chen for theregular potential [4]
andby
Chen and Elliott for the double obstaclepotential [5],
who show a first order error estimate viacomparison
arguments.
Both the order and
optimality
of the interface error estimate are aconsequence of the Maximum
Principle
and theexplicit
construction of sub andsupersolutions,
which in turn areinspired by,
and indeedrely
on, the formalasymptotics developed
in[15].
It is not obvious that theresulting asymptotic expansion
for u, converges, not even for fixed number of terms and 61
0, as in[7,8]
for the smoothpotential.
This is aninteresting
openproblem,
which would also lead to a rate of convergence forinterfaces,
vianondegeneracy properties
of both the continuous and truncated solutions. In thislight,
a nontrivialby-product
of therigorous asymptotic analysis
of DeMottoni and Schatzman
[7,8]
would be an0(82)
interface error estimate for theregular potential,
but underhigher regularity
restrictions on E than in the present discussion.Regardless
of convergence, the formalasymptotics
ofSection 3 still
provides
valuable information on theshape
of u~,which, together
with a modified distance function and the
nondegeneracy property
of sub andsupersolutions, plays
a fundamental role in oursubsequent rigorous analysis;
see Section 5.3 and Sections 6 and 7.
The paper is
organized
as follows. In Section 2 we introduce a nontrivial1- D solution associated with the double obstacle
potential.
Formalasymptotics
for a
contracting
circle ispresented
in Section 3. This derivationprovides
thebasis for the construction of several
special
functionswhich, properly combined,
lead to the sub and
supersolutions
of Sections 5 and 7. Asimple
but crucialcomparison
result isproved
in Section 4. The sub andsupersolutions
arefully
examined in Section 5 and then used in Section 6 to derive interface error
estimates. In Section 7 we return to the
special
case of a circleevolving by
mean curvature and show
rigorously
that our estimate issharp.
2. - Double Well Potential
The subdifferential
graph 2
gp Y=
2 ’P’ isgiven by
g yWe seek solutions of the double obstacle
problem
that
correspond
to absolute minimizers of the functionalwhere
It is not difficult to see that any absolute
minimizer y
must benondecreasing.
Since the
inequality
holds for any
nondecreasing function
ED( ~),
then the desired minimizers Isatisfy -1’(x) =
It turns out thatimposing 1(0) = 0,
theunique
nondecreasing solution -y
E of(2.1)
isgiven by
Hence, y
E seeFigure
3.1. This function will be used in Section 5.2 to define the initialdatum u§
for the double obstacleproblem.
The
following elementary inequality
will be useful in thesequel:
for all and 0 h « 1. It is a trivial consequence of the relation
3. - Formal
Asymptotics
for the Radial CaseWe propose here a brief discussion of formal
asymptotics
for thesimplest situation,
theradially symmetric
case. Eventhough
thispresentation
isonly formal,
it motivates several crucial aspects of oursubsequent rigorous analysis
such as the definition of initial datum and sub and
supersolutions
in Sections 5 and 7.Consider in
R~
a circle of radius0(t)
which evolvesby
mean curvature,that is
Since
v’f=2t,
we see that the circle shrinks to apoint
at time t*= ~.
Ifthe initial datum
u~( ~ , 0)
of the double obstacleproblem
isradially symmetric,
so is the solution
u~( . , t). Using polar coordinates,
we denoteby
r = thezero level set of Ug, that is
In
addition,
the PDE satisfiedby
u, within the transitionlayer 1}
reads
Let us introduce the stretched variable and denote
whence that
With the notation
U~k~
= we realizeand
Suppose
that bothUê
and4Jê
can beexpressed
in terms of -(inner expansion)
as follows:
This and
(3.2)
entailt)
= 0 for all i > 0,po(0)
= 1 and = 0 for allWe now intend to derive
explicit expressions of,
andcompatibility
conditions
for,
the first terms of these formalasymptotic expansions;
see[15].
Using (3.4), together
withwe can substitute
U,
into(3.3)
and collect allresulting
termscontaining
likepowers of ê. In the
sequel
weskip
details andsimply
examine the first four summands inincreasing
order and equate them to zero, thusstarting
with the1
-r-term:
62Determining boundary
conditions for the innerexpansion
is a delicateissue that
typically
involvesmatching
with the outerexpansion.
The presence ofobstacles, however,
creates aninteresting
difference withrespect
to usual matchedasymptotics:
theboundary
of the transitionregion
should be allowedto move
independently
of the zero-level set, and soadjust
for the solutionto be
globally
Such aformally
correctasymptotics, involving
a furtherexpansion
for the transitionregion width,
is anintriguing
openproblem
that isworth
exploring.
Wesimply
overcome thisdifficulty
uponimposing continuity
of the truncated inner
expansion S) = Ei--06iUi
with the far fieldu~ - ~ 1
at y -
±2013,
which in turnyields homogeneous
Dirichlet conditions forUi
2
at y -
+27
for i > 1. Thisarbitrary
choice leads to a uniform transition 2layer { |y| ’27/2}
andprovides
the essential information near the interface at the - 2expense of
giving
up 1regularity
ofSI.
Theresulting
formal series may not converge, not even in the sense of[7,8], namely for - 10
but fixed 1.Adding
further corrections
partially compensates
for the lack ofregularity,
asexplained
at the end of this
section,
and results in therigorous
construction of barriers of Sections 5 and 7.We
clearly
obtainThe 1-term yields
e
For this
problem
to be solvable acompatibility
condition between theright-hand
side of the ODE and
span{Uo}
must be enforced(Fredholm alternative),
wherespan{Uo}
is the kernel ofQ"
+ Qsubject
tovanishing
Dirichletboundary
conditions. This reads
and shows that po must
satisfy (3.1 );
thusand
Since
at U°
= 0, the-O-term
leads to theboundary
valueproblem
and
corresponding compatibility
constraintThen pi must
satisfy p[(t) -
= 0subject
to = 0, whose solution ispl(t)
= = 0. 0. Therefore ThereforeU2 U2
solvesWe introduce the odd
function ~
E definedby
(see Figure 3.1 ),
which satisfiesNote
that ~’
exhibits ajump discontinuity
atrealize that
We then
We conclude our discussion with the s-term,
which,
in view of Ul = 0, readsImposing
theL2-orthogonality
constraint between the aboveright-hand
side andUo,
we deduce an ODE for ~p2,namely,
Consequently
and
U3
satisfiesWe indicate with u e the even function
(see Figure 3.1 ),
which satisfiesNote that u’ is discontinuous at
write
Since u(0)
= 0, we canWe stress that the functions
Fig.
3.1 -Functions I, ç,
u, and(dashed lines) ~, ~+,
and(dotted line)
~~7.are still solutions of
equations (3.5)
and(3.7), respectively,
for any a, b E R.The choice of a and b, which can be viewed as extra
degrees
offreedom,
willbe crucial in
constructing
the barriers of Section 5.3 and Section 7.4. -
Comparison
LemmaIn this section we prove an
elementary Comparison
Lemma similar tothat in
[5],
Let Q c R" be a boundedLipschitz
domain. Consider the double obstacleproblem
for all ~p E
H1(S2; [-1,1])
and a.e. t E(0, T).
Hereafter( ~ , ~ ~
stands for either the scalarproduct
in or theduality pairing
between(H 1 (SZ))’
andLet v
satisfy
thefollowing auxiliary problem
for
all p
E[0, +oo))
and a.e. t E(0, T),
withThen v is a subsolution of the double obstacle
problem (4.1 ), i.e.,
In order to prove
(4.3),
set e =max(v - u~, 0).
Then take p = u, + e EL~(0,r;~~Q;[-l,l]))
in(4.1)
e EL 2(0,
T ;[0, +oo))
in(4.2),
and subtract the
resulting inequalities.
Afterintegration
on(0, t),
we getAssertion
(4.3)
follows from Gronwall’sLemma,
whichimplies
= 0and thus e = 0 a.e. in SZ x
(0, T).
The
Comparison
Lemma forsupersolutions
can be stated in a similar fashion and is thus omitted.5. - Subsolution and
Supersolution
In this section we construct a sub and
supersolution
for the double obstacleproblem (4.1).
Such functions will be used in Section 6 to derive anoptimal
interface error estimate.
,Section 5.1.
Interface.
Let
E(t)
be a mean curvature flow such thatdist(conv(L(O», aQ) >
6 > 0, and set E ={(x, t)
E Q x[0, T] :
x EY-(t)l.
AssumeY-(t)
is an oriented closed manifold of codimension 1 and set0(t)
= Outside ofE(t), I(t)
= Inside ofl(t).
The
signed
distance d is then defined for t E[0, T]
]by
We introduce a tubular
neighborhood
T ={(x, t)
E 0. x[0, T] :
x E T(t)}
of Edefined
by
for some fixed I
sufficiently
small. The interface error estimate in Section 6 will beproved
underthe
assumption
We denote
by n(x, t)
the inward unit vector normal toE(t)
at x EE(t)
andby t)
the sum of the squares of theprincipal
curvatures ofl(t)
at x El(t).
It follows from
(5.1) that,
for any(x, t)
ET,
there is aunique s(x, t) E E(t)
such thatWith an abuse of
notation,
we henceforth indicate with n and xS thecomposite
functions
n(s(x, t), t)
andt), t),
defined for all(x, t)
ET,
andpoint
outthat
(5.1) yields
Finally,
thefollowing properties
of the distance function hold for all(x, t)
cT;
see
[4,7,8,11,15] :
Section 5.2. Initial Datum.
In
setting
the initial datumuo
of the double obstacleproblem
we would liketo fit the initial interface
L(O),
that is =1(0),
and at the same time avoidan initial transient due to
inadequate shape
ofuO.
In caseu°
E[ -1, 1 ] ) only satisfies CEI log 61 for Cellog el,
then it takes a shorttime,
of order for the solution Uc to attain thevalue luc(x, t)1 =
1provided Id(x, t)1 I
>Cc I log - 1;
see[5].
Here C > 0 may not be the same at each occurrence but isalways independent
of 6-.Inspired by
theasymptotics
ofSection
3,
we defineEven
though
thisparticular
choicemight
seemrestrictive,
the formal results of Section 3strongly
suggest that other choices would notperform
better interms of
approximating
the mean curvature flow. This is known for the PDEinvolving
a smooth double wellpotential [4,7,8].
Section 5.3. Subsolution.
We start out
by introducing
amodified
distancefunction,
which combinesa shift with a
shape
correction. For any(x, t)
E Q x[0, T]
setwhere K > 0 and
Cl, C2 >
1 will be determined later onindepen- dently
of ~.Hereafter,
thenotation ~
= will standfor lçl
with a constantC > 0
independent
of ~,Cl
andC2, and ~
=0c,(e")
willmean lçl
withC > 0
possibly depending
onC}
andC2
but not on ~; C maychange
at eachoccurrence.
For convenience we remove the
superscript
-, thusdenoting d,
=dj,
andintroduce the
layer % _ ~ (x, t)
E S2 x[0, T] :
x ET,(t)1,
whereObserve
that, depending
on D, K,Cl, C2
and T, there exists 0 ~ 1so that
T,
C T for all 0 -~ ,
thatis I
Dprovided I Moreover,
for(x, t)
ETe
and 0 - ::; e we can write27
-
2 -
- 7r 11 > > CID E2) _ C2ê2e2KT
and thus deduce that2
In view of
(5.2)
and(5.4),
we havefor all
(x, t)
ETE.
Note the presenceof de
instead of d on theright-hand
sides.Our next task is to introduce the subsolution v- for the double obstacle
problem (4.1).
Its definition is motivatedby
theasymptotics
of Section 3 in that v. consists of severalcorrections,
inshape
andlocation,
of the obviouscandidate u. Set
and note that
~- e
isnon-negative
and satisfies(3.5), and £I
isdiscontinuous at x
= - 2
because butC’ 2 - ~" (I) =
0;see
Figure
3.1.2 ~
2
4 ~ 2 -(,2r)
= o;Then we introduce
where
y(x,
t) = ) is a modified stretchedvariable,
andproceed
to proveê p p
that v. is a subsolution for
(4.1).
Since no confusion ispossible,
we will usethe
notation v,,
= v; .First,
notethat IVg(x, t)1 I
1 in if e issufficiently
small(depending
on
K), and IVg(x, t)1 =
1 in(0.
x[o, T ] )B T~ .
Infact,
for any a > 0sufficiently small,
the functionsatisfies and whence
strictly increasing
in Ithus
1 for all x E R. SeeFigure
5.1.Then,
it is easy to check thatIn
fact,
set and notethat,
for t = 0 and x ETe(0),
for 6-
sufficiently
small(depending
onCi
andC2).
Since weonly
have to(2.2)
leads to1(Z) - Y(Y) >1/4
Then2 2
) 1’( ) 7Cy)
4x
provided C2 >
1 is chosensufficiently large
butindependent
of e.Set now
For all t E
(0, T)
ad anynon-negative
p e we havewhere
and v~
is the outward unit vector normal to Sinceand
.
we have II 0. From
(5.7)
we also have III 0.Hence,
itonly
remains toestablish that the first term is
non-positive.
Asimple
calculationyields
for all
(x, t)
ETe. Using (2.1)
and(3.5)
in(-2,2and properties (5.5),
we obtain2 2
whence
The first term on the
right-hand
side reveals the correction effect of the middle term in(5.3).
Infact,
sincex (x) + ’ (x) >
1 for all x E R,selecting ~2 > 2013 Ci,
we have
( )
~ ~ g_K m
We then realize that a suitable choice of 1,
sufficiently large
butindepen-
dent of 6, leads to
for c
sufficiently
small(depending
onCl
andC2). Hence, applying
the Com-parison
Lemma of Section 4 we conclude that vj = vE verifiesThe construction of a
supersolution vl’
isentirely
similar and is thusomitted,
whereFig.
5.1 - Functions -1,~:F (x :F cc), (dashed lines),
and
~:F(x :F ce2) (dotted lines).
and
6. - Interface Error Estimate
On
using
the subsolution v; andsupersolution vl
defined in Section5.3,
it is nowpossible
to deduce thefollowing
errorestimates,
valid before the onset ofsingularities,
for interfacesevolving by
mean curvature.THEOREM 6.1. Let
l(t)
be a mean curvatureflow
whichsatisfies (5 .1 ).
Let
Lê(t) = {x
E Q :u,(x, t)
=0}
be the zero level setof
the solution u,of
the double obstacle
problem 4.1
with "1d(x, 0) .
Then there exist 0 C 1 and a constantCT depending
on T such thatfor
all 0 6 ~ thefollowing
estimate holds:PROOF. Set
{x vT(x, t)
=01. Invoking
thenondegeneracy property
ofvi
around theinterface, namely, Blvi.
n= -1
+0(6-) provided
p p Y E Y E
e
( )
Pdi(x, t)
= 0, inconjunction
with theproperty
=D (E2)
for = 0,we have that
x E
£7 (t) implies t) = 0 (~3 ).
Hence, (5.4)
shows that x Eyields d(x, t)
=O(g2),
and soThe
inequalities
for all(x, t)
E Q x[0,T]
then leadto
and the assertion follows. 0
Without
regularity
orqualitative assumptions
on the initial datumu§, (6.1)
is still valid for
any u§ satisfying
Taylor expansion
in(5.6)
converts theseinequalities
into the constraintC
independent
of 6*. Wepoint
out that corrections to -1 such asu°(x) -
Y(dX,0)) +e2ks(x,0)E ( 0) ) which
could besuggested by
the formal’Y 11
( X,0 )E (d E ) gg Y
asymptotics
of Section3, verify
this constraint but do notimprove
theapproximation quality.
Such a claim is a consequence of our nextargument.
7. -
Optimality
The purpose of this section is to show that the interface error estimate stated in Theorem 6.1 is
sharp.
To thisend,
we consider a circleevolving by
mean curvature, as described in Section
3,
and prove that-
E2|Q2(t))| (see
also[7,8,15]).
We stick to the notation of Section 3 and suppose 2that T t*
= 1
1 .is fixed.2
Let
d(r, t)
= r -0(t)
and letd:F (r, t)
denote the modified distance functionwhere K = maxtejoTj ’
~"(~)
andCi,
1 will be determined later onindependently
of e. Note that the correction term of orderO(e2)
in(7.1 )
is nowwritten which reveals the extra accuracy built into
(7.1 )
with respect to
(5.3). Likewise,
the sub andsupersolutions vi
defined in(5.6)
are further corrected to read
where t7- is the
(even non-positive)
function definedby
(see Figure 3.1 ).
Note that 6 still satisfies(3.7)
and 6 EC2,1 (R ),
becauseY,
( 2, 2, o
2 2 °We then have the
following asymptotic
resultwhich,
in view of theproperty Q2(t)
0, shows theoptimality
of(6.1)
for y(r-1 e j,
together
with the fact that moves faster thanQ(t).
THEOREM 7.1. Let
0(t) = 1 - 2t
be the radiusof
a circleshrinking
b . h ... * - 1 d 1
() 1{"2 -
6log Q(t)
by
mean curvature with extinction timet = 2’
2and
let= 12
120(t)
.Let be the radius
of
the zero level setof
the solution u,of
the doubleobstacle
problem (4.1)
withuo(r) r - 1
.Then, for
anyfixed
T t*,there exist 0 C 1 and a constant
CT depending
on T such thatfor
all0 - ~ the
following
estimate holds:PROOF.
Let t*
be the extinction time for i.e. = 0. It will turnout, as a
by-product
of thisanalysis,
that Tt~
t* for 6sufficiently
small.We claim that the assertion is a trivial consequence of the estimate
In
fact,
denoteby
the radius of the zero level set ofv;, i.e., (4)¿(t), t)
= 0,and
by
the radius such that t) = 0.Then,
from(7 .1 ),
we havefor all t E
[0,T], provided e
issufficiently
small(depending
onCi
andC2).
Invoking
now thenondegeneracy property
ofvi
around theinterface, namely
+
0(6:),
inconjunction
with0(e2),
as resultsr vE
( re+ ( )t )=
é
( )in con (
E( )t ) =o ( )
from
(7.2),
we infer thatstill if - is
sufficiently
small.This, together
with(7.5), yields
But
(7.4) implies 0+(t) 0,(t) 0-(t),
and thus the desired estimate follows.Consequently,
itonly
remains to establish(7.4).
To thisend,
wejust
provebecause the upper bound can be derived
similarly.
For convenience wedrop
thesu p erscri p t -
denote v - vj,d, = d.
and set y = in Theorem6.1
e we intend to
apply
theComparison
Lemma. If we setthen we see that
1~ (-~+)
=a 4
> 0,1~ (~) =
0 and --1.
Consequently, 1-
isstrictly increasing
in(-27/2,
2 227/2),
for any a,/3
> 0sufficiently small;
thus 1 for all x e R(see Figure 5.1 ).
Interms of vE, this
reads IVg(r, t)1
1 in’T’E,
for Esufficiently
small(depending
on
K). Then,
for t = 0, we have to show thatwhere
z(r)
=201320132013.
On the otherhand,
sincep2(0)
= 0, we have for z =0(1)
11
for e
sufficiently
small(depending
on01
andC2).
We can resort to(2.2)
todeduce that
for
C2 >
1sufficiently large.
It is worthnoting
that at z= ~
the second termbetween
parenthesis
vanishes but the first one stillprovides control
becauseand so
£- (y) + e8(y) =
’ for y= 27/2 -
2 ’We now realize
that, proceeding
as in Section5.3,
weonly
have toexamine the
sign
ofwithin the
layer The. Making
use of the relationand
(7.1 ),
andcollecting
like powers of 6:, after tedious calculations we getin
7’E-.
Inlight
of the definitions of 7,~, -d7, 0
and p2(see (2.1), (3.5), (3.7), (3.1)
and(3.6)),
the first four terms on theright-hand
side vanish. Inaddition,
sinceyy(y/)+Y(y) > y’Y(y)
’Y(y) >1 the choice
1, the choiceC > 6 C
2 _ enables us to control bothK 1
-2Cii’(y) and,
forCl
1large enough, 0 ( 1 ). Finally,
for -sufficiently
small(depending
on01
andC2),
we get 0 in7~,
and as a consequence(7.6).
The
proof
is thuscomplete.
DThe estimate
(7.3)
is still valid for aperturbed
initial datumuo satisfying
where v+E
are defined in(7.2).
Since theperturbation
verifies this
constraint,
weexploit
theoptimality
result to conclude that furtheradjustment
of theshape of y
cannotimprove
the rate of convergence(6.1).
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Department of Mathematics and
Institute for Physical Science and Technology University of Maryland
College Park, MD 20742, USA
Dipartimento di Matematica Universita di Milano 20133 Milano
Italy
and
Istituto di Analisi Numerica del CNR 27100 Pavia
Italy