A NNALI DELLA
S CUOLA N ORMALE S UPERIORE DI P ISA Classe di Scienze
R OBERTA D AL P ASSO
L ORENZO G IACOMELLI
G ÜNTHER G RÜN
A waiting time phenomenon for thin film equations
Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4
esérie, tome 30, n
o2 (2001), p. 437-463
<http://www.numdam.org/item?id=ASNSP_2001_4_30_2_437_0>
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http://www.numdam.org/
437
A Waiting Time Phenomenon for Thin Film Equations
ROBERTA DAL PASSO - LORENZO GIACOMELLI -
GÜNTHER GRÜN
Vol. XXX (2001 ),
Abstract. We prove the occurrence of a waiting time phenomenon for solutions to fourth order degenerate parabolic differential equations which model the evolution of thin films of viscous fluids. In space dimension less or equal to three, we identify a general criterion on the growth of initial data near the free boundary
which guarantees that for sufficiently small times the support of strong solutions locally does not increase. It turns out that this condition only depends on the
smoothness of the diffusion coefficient in its point of degeneracy. Our approach
combines a new version of Stampacchia’s iteration lemma with weighted energy
or entropy estimates. On account of numerical experiments, we conjecture that
the aforementioned growth criterion is optimal.
Mathematics Subject Classification (2000): 35K25 (primary), 35K55, 35K65, 35K99, 76D08, 76D27 (secondary).
1. - Introduction
In this paper we prove a
waiting
timephenomenon
fornonnegative,
massconserving
solutions to the fourth orderdegenerate parabolic equation
in
in space dimension N E
{ 1, 2, 3 } . Here,
either Q is a open bounded domain of class 1 In the former case, we assume the normal derivatives of both u and 0 u to vanish onFurther,
we suppose the initial datum uo E to benonnegative
and to have compactsupport.
Equation (1.1)
serves as a modelproblem
for a class ofhigher
orderdiffusion
equations arising
in materials science and fluiddynamics (cf. [13], [24]
and the referencestherein).
In the formpresented above,
it describes the surface tension driven evolution of theheight
u of a thin film of viscous fluid thatspreads
on a horizontal surface.Pervenuto alla Redazione il 23 maggio 2000 e in forma definitiva il 27 febbraio 2001.
Physically,
the diffusiongrowth exponent n
is determinedby
the flowcondition at the
liquid-solid
interface:Navier-type slip
conditions infer values of n E(0, 3),
whereas ano-slip
condition entails n = 3(cf. [24]
and[4]).
Notethat for
spreading droplets
ano-slip
conditionimplies
infinite energydissipation
at the
triple junction liquid-solid-gas (for details,
cf.[15]). Mathematically,
thisis reflected
by
the fact that selfsimilarsource-type
solutions withcompact support
do exist if andonly
if n 3(see [8], [16]).
It is an
important peculiarity
of the aforementioned evolutionequation
thatit allows for the construction of
nonnegativity preserving
solutions(cf. [7], [18], [9], [3]
and[13]).
This is remarkable since solutions tonondegenerate
fourthorder
problems
ingeneral
may becomelocally negative
even if initial data arestrictly positive.
Another crucial feature is that
(1.1) implicitly
defines a freeboundary problem
for which the freeboundary
isgiven by
As weare
dealing
with a fourth orderequation,
we do notexpect well-posedness
without
imposing
a third condition at the freeboundary
in addition to the naturalones
= o .
Besides the work of Otto
[25]
who constructs in space dimension N = 1 for n = 1 solutions with constant nonzero contactangle
- theanalytical study
of
(1.1)
concentrates on adistinguished
class ofsolutions,
hereafter referred to as strongsolutions,
whichsatisfy
an additionalintegral estimate,
the socalled entropy estimate. For solutions with
compactly supported
initialdata,
such an estimate holds true
provided
0 n 3. Itimplies
inparticular
thatthe
corresponding
solutions exhibit a zero contactangle
at the freeboundary.
Hence,
strong solutions areexpected
to beunique.
An
important
feature of strong solutions is that theirsupport
has theproperty
of finitespeed
ofpropagation,
i.e.:with c
depending only
on n, N and on · In one spacedimension,
thiswas proven for 0 n 3 in
[5], [6], [21];
inhigher
space dimensions it was obtainedfor g
n 2 in[ 11 ] .
We observe that estimate(1.2)
isoptimal,
since the
speed
ofpropagation
coincides with that ofsource-type
solutions[8], [16].
Inaddition,
it is known that for n 3 thesupport
ofstrong
solu- tions covers any bounded subdomain of S2 as t tends toinfinity ([13],
seealso
[5]
and[12]
forsharp
estimates of itsmeasure). Nevertheless,
more re- fined results on the motion of the freeboundary
areexpected
to holdprovided
additional informations are
given
on the local behaviour of uo. Inparticular,
ifthe initial datum is
sufficiently
flat at onepoint
of theinterface,
then awaiting
time should
exist, during
which -locally
at thatpoint
- thesupport
doesnot
expand.
In this paper we
present
conditions on the initial data which guarantee forstrong
solutions the existence of such awaiting
time. Toput
itconcisely,
if4
0 n 2 and
uo(x)
grows at mostlike Ix
-xol n
in aneighbourhood
ofa
point
xo E9[supp(Mo)],
then awaiting
timephenomenon
occurs at xo. If2 n
3 and the space dimension is one, the same result holdsprovided uox (x)
grows at most like To the best of ourknowledge
theseare the first
mathematically rigorous
results on awaiting
timephenomenon
forfourth order
degenerate parabolic equations
of the form( 1.1 ) (for preliminary
numerical
results,
cf.[20];
for related formalconsiderations,
see also[26]).
Let us sketch the outline of our
approach.
Thegeneral strategy
is to use certainintegral
estimates to obtain a recursiveinequality
for suitable space- time Lp-norms of the solution. To take fulladvantage
of thatinequality,
weuse an extension of
Stampacchia’s
lemma which to ourknowledge
is new andwhich
might
be ofindependent
interest. We noticethat,
in theanalysis
ofthin film
equations,
the combination ofweighted integral
estimates and iterativeprocedures
has beendeveloped by
Hulshof and Shishkov[21]
to obtain the estimate(1.2).
For n
2,
our method is based on localentropy
estimates(cf. (2.1 )).
Inspace dimension N =
1,
we assume that:and that initial data
satisfy:
where
Under these conditions we prove
(Theorem 4.1)
that apositive
time T* existssuch that
In
higher
spacedimension,
we reformulate(1.3) requiring
an "external coneproperty"
fora[supp(uo)]
at xo: we assume that there exists a coneC(xo, 20)
with vertex in xo and
opening angle
29 such thatIf in addition
(1.4) holds,
then(Theorem 5.1 ) for 1
n 2 apositive
timeT* exists such that
If
2 n 3,
theentropy
estimate cannot beexploited
anylonger
andwe have to base our method on a
weighted
energy estimate(cf. (2.3)) proved
by
Bemis[6].
To the best of ourknowledge,
this estimate isonly
known tohold
globally
in space, in one space dimension and forstrong
solutions to theCauchy problem.
For this reason we restrict ourselves to N =1, replace
thelocal condition
(1.3) by
aglobal
one,namely
and introduce a "flatness"
assumption
which involves theL2-norm
of thegradient
of initial data:
Under
assumptions (1.7)
and(1.8)
we prove(Theorem 6.1)
that apositive
timeT* exists such that
Though
condition(1.8)
is stronger, it is nevertheless consistent with(1.4): again,
it
yields 4/n
as criticalexponent
for the existence of awaiting
time.A natural
question
is whether thegrowth
exponent4/n
isoptimal.
InSection 7 we will present numerical
experiments
whichstrongly
support theconjecture
that nowaiting
timephenomenon
occurs ifuo(x) > xoly
forsome y
4/n
at aLipschitz-regular boundary point
xo Ea {uo
>01.
If n2,
we
actually expect
instantaneousspreading
under the weaker conditionIf on the other
hand n > 2,
then thequestion
is moredelicate, mainly
due toa less strong
regularizing
effect of theoperator [12],
and oscillations of initial data near the interface could becomeimportant.
It is worthwhile to observethat,
for n2,
conditions(1.4)
and(1.9)
remind of the conditionfor the porous medium
equation
ut =(cf.
Section 7 for a moredetailed
comparison). Nevertheless,
we underline that the twooperators
havea
deeply
different structure - forinstance,
the role of the critical exponentsn =
2, n
= 3 does not have acounterpart
in the second order case.The paper is
organized
as follows: In Section 2 we introduce theconcept
ofstrong solutions,
and wepresent weighted
energy andentropy
estimates whichwe are
going
to use in thesequel;
in Section 3 we formulate and prove the extension ofStampacchia’s lemma;
Sections 4 to 6 are devoted to theproofs
of a
waiting
timephenomenon
in the cases N = 1 and 0 n2,
N E{2, 3 }
and
g n 2, N = 1
and2 n 3, respectively; finally,
thequestion
ofoptimality
is discussed in Section 7.Throughout
the whole paper, we use the standard notation for Sobolev spaces,denoting by
the space of k-timesweakly
differentiable functions with weak derivatives inLP(Q);
we abbreviateby 7~(~).
Given p >0 and a measurable function u in
Q,
we let = which coincides with theLebesgue
norm for p 2: 1. XA denotes the characteristic function ofa set
A,
andlu
>0}
is a short form for{(t, x)
E(0, T)
x S2 :u(t, x)
>OJ.
Finally, T)
xQ)
denotes the subset of those elements ofC((0, T)
xQ)
which are of class Ca
(or Cfl)
withrespect
to time(or
withrespect
to thespatial variables), respectively.
ACKNOWLEDGEMENT. This work was
supported by
EUthrough
the TMR-programme Nonlinear
parabolic partial differential equations:
methods andappli- cations,
FMRX-CT98-0201. L.G.acknowledges
the kindhospitality
of Institut furAngewandte
Mathematik in Bonn. G.G.acknowledges
the kindhospitality
of Istituto per le
Applicazioni
del Calcolo "M. Picone" in Rome.2. - Definition and
properties
ofstrong
solutionsLet Q be an open domain
of R N
of classC 1’ 1. By
a weak solution of(1.1)
we mean the
following.
DEFINITION 2.1. A
nonnegative
function u ELoo(IR+; Hl(Q)
f1L1(Q»
iscalled a weak solution of
(1.1)
if:(i) u
E(0)),)
for all q >4N
i(ii)
if N = 1 : u E >0} ), uiuxxx
E >0}),
and u solves theequation
in the sense thatfor
any ~
E xQ);
(iii)
if N > 1: andUn ivul belong
toL1 ~ L1 (S2)),
and u solves theequation
in the sense thatloc
for any T > 0 and
any ~
such that onST.
In the
sequel,
we will concentrate on aparticular
class of solutions- strong
solutions - whichsatisfy
an additionalintegral
estimate - theentropy
estimate.In its
global version,
this estimateprovides
inparticular L2((0, T); HZ (S2))- regularity
of certain powers of the solution u. On account ofcorresponding
nonexistence results for selfsimilar
source-type
solutionsif n > 3, compactly supported
solutions with suchregularity
areonly expected
to exist in the param-eter range n E
(0, 3). Hence,
we confine ourselves in thesubsequent
definitionto those values of n:
DEFINITION 2.2. Let the initial datum uo be of class
H1(Q; IÇ)
nL 1 (Q).
A function u E
H 1 (Q)
n is called strong solution of( 1.1 )
with initial datum uo if:
(i)
u is a weak solution of( 1.1 );
(ii)
forarbitrary
a E(max{-I, 4 - n},
2 -n) B {OJ,
u satisfies the a-entropy estimate; i.e. apositive
constant C =C (a,
n,N)
exists such that forarbitrary t
> 0 andarbitrary ~
EC2(Q)
withsupp(V~)
CC S2:(iii)
u attains its initial data in the sense thatu (t)
- uo in as t%
0.REMARK 2.1. The existence of strong solutions in the sense of Definition 2.2 has been
proved
in[3]
and[10]
for space dimension N = 1. Inhigher
spacedimensions, corresponding
results up to nowonly
could be established for N E{2, 3}
and n >1/8 (cf. [13]
and[11]).
It is worthmentioning that,
forinitial data which are
positive
almosteverywhere,
solutionssatisfying
anentropy
estimate also exist forhigher
values of n.REMARK 2.2. In one space
dimension,
astrong
solution is also a solution in the sense of theconcept presented
in Definition 2.1(iii), provided n
>1/8.
A crucial
property
ofstrong
solutions is that of finitespeed
ofpropagation.
For n
2,
the resultspresented
in[5], [ 11 ]
can be summarized as follows:(FSP) if u(to)
= 0 a.e. inB(xo, ro)
CS2,
there exists apositive
con-stant
To - To(n, N,
ro,I I uo II 1 )
and anondecreasing function
r EC(0, To; JRt) such that r (0)
=0 and u (t)
= 0 a. e. inB (xo, ro - r (t))
This result is based on estimate
(2.1);
inparticular,
theassumption n
2 allowsto choose a
positive,
hence to take fulladvantage
of thesign properties
in theentropy estimate.
By piling
upstrong
solutions in boundeddomains, (FSP)
inturn
permits
to construct astrong
solution on the whole ofprovided (2.2) supp(uo)
iscompact
inIaeN .
If n 2: 2,
theanalytical
methods are differentmainly
due to achange
in thestructure of the operator. In this case, the energy estimate has to be
exploited,
but up to now the results are restricted to space dimension N = 1. In
[6],
Bemis proves for
2 n
3 thatstrong
solutions on S2 = R have theproperty
of finitespeed
ofpropagation
in thefollowing
sense:(FSP’)
there exists anondecreasing function
r eJRt), r(0) = 0,
such thatif supp(uo)
CB(xo, ro), then supp(u(t))
CB(xo, ro+r(t))
His
proof
is based on thefollowing weighted
energy estimate:Let us now derive from the
entropy
estimate(2.1 )
and from the energy estimate(2.3)
thoseintegral
estimates which will be used as mainingredients
in our
procedure.
For n2,
we find for any a EIn
apositive
constant C suchthat we have for
arbitrary t
E(0, T):
which
by density
holds forany ~
E suchthat §A§
E Wemay take the supremum in
(0, T )
on the left hand side. As a consequence:for any a E
In
andany
E suchthat § A§
EIf
2 n
3 and N = 1 weproceed by
the same arguments, and we obtain from(2.3)
thatWe shall
frequently
useGagliardo-Nirenberg’s inequality [17], [23].
In theformulation we
provide below,
some of thesummability
powers are allowed tobe less than one; a
proof
of this extension may be found in[14].
The additional observation on relevant constants followsimmediately
from arescaling argument.
THEOREM 2.3
(Gagliardo-Nirenberg).
Let 0 q p, 1 r 00, m E N,m > 0. Let S2 C
IEBN
be open bounded with a S2piecewise
smooth.Suppose
u
belongs
toLq (Q)
and its derivativesof
order mbelong
to Then thefollowing inequalities
hold(with
constantsCl, C2 depending only
onQ,
m, q,r):
where
for
all O in the interval[o, 1 ).
The result continues to holdif Q is
unbounded andcone, and in this case
C2
= 0.3. - An extension
of Stampacchia’s
lemmaIn this
section,
we formulate an iteration lemma which will serve as a mainingredient
in thesubsequent proofs
for awaiting
timephenomenon.
It reads asfollows:
LEMMA 3.1
(An
extension ofStampacchia’s lemma). Assume that a given nonnegative, nonincreasing function
G :(0,
2013~ ?satisfies:
for 0
q~
eo andpositive
numbers co, a,P,
a~ such thatAssume further
thatThen
REMARK 3.2. If the term
(eo -
did not occur in(3.1),
Lemma 3.1would be identical to
Stampacchia’s
lemma[27,
Lemma 4.1(i)].
a _
PROOF. Let e = and consider for kEN the
points sk
:=It will be sufficient to prove that
Indeed, together
with thenonnegativity
of G and(3.2)
the assertion followsimmediately.
For k =1,
we observeusing (3.3):
hence
(3.4)
for k = 1. It remains toverify
this relation in the induction step k ~ k -~- 1. It holds:Assumption (3.2) implies
hence
which proves the lemma.
4. -
Waiting
timephenomenon
for 0 n 2: one space dimensionLet us assume S2 to be
given
as an interval(-a, a)
with 0 a oo and let us suppose that thefollowing hypothesis
on the initial datum uo holds:~ uo = 0 on
(xo - 3ro, xo]
for a certainpositive
number roo a
positive
constant y exists such thatfor a number a E
In
:=(max[O, 1 - n},
2 -n).
Then,
thefollowing
theorem holds:THEOREM 4.1. Let N =
1, 0
n 2 and let u be a strong solutionof ( 1.1 )
with initial datum uo. Assume moreover that
(W 1)
holds withThen,
apositive
time T* =T * (n,
a, y,uo)
exists such thatPROOF. Without loss of
generality
we assume that xo = 0. Let us describethe outline of the
proof.
After anappropriate
choice of the cut-off function~
in estimate(2.4), Gagliardo-Nirenberg’s inequality
leads for sufficient small numbers 0 e r to an estimate ofF(e)
:=ua+n+1 mainly
interms of
F(r) (cf. inequality (4.7)). Combining
this estimate with the iteration Lemma3.1,
the result follows.Following
thisstrategy,
let us first makeexplicit
our choice of cut-offfunction ~ . Recalling
theproperty
of finitespeed
ofpropagation (FSP),
weinfer the existence of a time
To
> 0 such thatLet us choose a
function 0
EC°(Q;
such 0 andol(-,O,,,) =-
1. For apositive
number r a, we take~r(x)
:=(r-x)+4J(x)
as testfunction in
(2.4);
we observe that for 0 TTo ~))
C(-ro, r]
and that
both [
and]
are bounded inL°° (S2) independently
of theparticular
choice of r > 0. Thisyields
for TTo:
For
arbitrary
0 ~o r, this can be rewritten in thefollowing
way:Let us introduce the function
Due to
(FSP),
w EZ~((0, T); ~)). Choosing q = a+ +i, (4.3)
canequivalently
be written asWe estimate
Jo by Gagliardo-Nirenberg’s inequality (cf.
Theorem2.3):
with 0 =
;q-:2
1. As a consequence:Combining
thisinequality
with(4.4) yields
Assumption (WI)
on thegrowth
of uo near the freeboundary point
xo = 0implies
the existence ofpositive
numbers ~oo and C such that for all 0 r _ onLet us introduce for
0 ~ ~ ~
eo thedecreasing nonnegative
functionSpecifying $ =
eo - e and 17 = we may rewrite(4.7)
in thefollowing
way:
where
Applying
the iteration Lemma3.1,
we observe thatG(Qo)
= 0provided
and
For
sufficiently
small T* =T* (a, n, eo),
the former condition can be satisfied.The latter
imposes
a constraint on thegrowth exponent
y of uo near the freeboundary.
Since 0 =~" ~,
a lower bound on y isgiven by
theinequality
As a consequence, a time T * =
T*(a, n, eo)
exists such thatprovided
Y 2:~.
5. -
Waiting
timephenomenon for g
n 2:higher
space dimensions In order to extend the results of Section 4 tohigher
spacedimensions,
we consider
points
xo ofð[supp(uo)]
for which an "external coneproperty"
issatisfied. For x E
R ,
letand let
C(y, 9)
denote a cone with vertex in y,opening angle
8 andsymmetry
axisparallel
to thexN-axis:
Without loss of
generality,
we assume that:~ there exists 8 E
(0, ~)
and ro > 0 such thatB(xo, 8ro)
C Q and( W2) ’ a positive
constant y exists such thatfor a number a E
In.
Note that
( W2)
is a local condition forô[supp(uo)]
at xo, and that it does notrequire convexity
of thesupport.
The result reads as follows.THEOREM 5. l. Let N E
{2, 3}, ~
n2,
and let u be a strong solutionof (1. 1)
with initial datum uo. Assume that
(W 2)
holds at somepoint
Xo E8 [supp(uo)]
withThen,
apositive
time T* =T * (n,
a, y,uo)
exists such thatfor
almost every t E(0, T*).
PROOF. Without loss of
generality
we may assume xo = 0.By
assump- tion(W2)
for some 8 E
(0, 1) -
Let eN be the canonical basis vectorparallel
to thexN-axis. Property (FSP) implies
that there existsTo
> 0 such thatFig. 1. A visual proof of (5.2) and (5.3). In particular, letting B = (0, -ro), note that OA O B + B A = 3ro by straightforward geometric reasoning.
We consider the one-parameter
family
of nested conesWith this choice we have
by geometric arguments (see fig. 1)
thatmoreover, a
positive
constant s =s(ro, 0)
exists such thatOur
argumentation
will beinspired by
theproof
of Theorem 4.1 - instead of half-lines we use conesC(r).
To thisaim,
we introduce the test-functions(see fig. 2). By
definition ofC(r), ~r
arenonnegative
and continuous. Inaddition,
astraightforward computation
shows thatSince
a
positive
constant C =C(N, 0)
exists such thatLet us introduce a
cut-off w
ECõ’« -4,4»
such that cp - 1 in(-3, 3).
We let(see fig. 2),
and in view of(5.4)
we havefr
E with~r~~r
EHence
f,
are admissible test-functions in(2.4).
Observing
thatwe obtain for r E
[0, ro]
and tTo
It also follows from
(5.5)
that for any t E(0, To)
Thus,
we may extendu (t, ~ )
to zero onC(r) B B(O, 3ro) :
We chooseand we conclude that
with q = «+ +1 i ~
We need toestimate §r
from below on any nested coneC(Lo
to r. Since 0 in
C(,o ,),
it is sufficient toevaluate r
on itsboundary:
To this purpose, consider
observe that
0,
and thereforeWe use
(5.7)
to minorize the left-hand side of(5.6),
whichyields
Gagliardo-Nirenberg inequality gives
Therefore,
we follow the lines of theproof
of Theorem 4.1 and we infer thatBy assumption (W2),
there exist eo e(0, ro)
and C > 0 such thathence, by (5.2),
Using
this estimate in(5.9),
we conclude thatwhere
An
appeal
to Lemma 3.1yields
the existence of a time T* E(0, To)
such thatw = 0 in
C (o)
x(0, T * ) ;
recalling
the definition of w and(5.1), (5.3) completes
theproof
of the theo-rem. D
6. -
Waiting
timephenomenon
for2 n
3: one space dimensionIn this
section,
we prove the existence of awaiting
time if the diffusiongrowth
coefficient nbelongs
to[2, 3).
Ourapproach
is based on theweighted
energy estimate
(2.5):
for this reason we confine ourselves to strong solutions of theCauchy problem
in one space dimension(i.e.
S2 =R),
and we assumea
growth
condition for the derivative of initial data in aneighbourhood
of thefree
boundary:
0 uo - 0 on
(-oo, xo];
~ a
positive
constant y exists such thatThe
following
theorem holds:THEOREM 6.1. Let 2 n 3, Q - R and let u be a strong solution to
( 1.1 )
with initial datum uo. Assume moreover that
(W3)
holds withThen,
apositive
time T* =T * (n,
y,uo)
exists such thatREMARK 6.2. Growth condition
(W3)
is stronger than thecorresponding
one
(Wl)
in the case n 2.Indeed,
via Sobolevinequality
one obtainsNevertheless,
the two conditions coincide ifuo(x) = C(x - xo)+
in aneigh-
bourhood of xo, and both
yield
y =4/n
as criticalgrowth
exponent.PROOF. Without loss of
generality
we assume xo = 0.Combining
theweighted
energy estimate(2.5)
withHardy’s inequality
we obtain:
For
arbitrary positive numbers e
r, we find r -x > on(-oo, Q).
HenceWe estimate
using
Theorem 2.3:Holder’s
inequality gives
and
Young’s inequality implies
thatHence,
we obtain forarbitrary
s > 0 and 0 e r the estimateLet us introduce the
quantities
and
Then
(6.6)
can be rewritten as follows:To take full
advantage
of thisinequality,
we prove thefollowing auxiliary
result.LEMMA. Assume that
for arbitrary
0 QQ’
r’ r and s > 0sufficiently
small. Then apositive
constant
Ke
exists such thatPROOF OF THE AUXILIARY LEMMA. It is
inspired by
the iteration methodpresented
in[21].
Forgiven
0 e r, let us consider sequences(Qk)keN
andgiven by Qk
= r -~- and rk
= r -y.
Note thatLet us prove
by
induction that forarbitrary
For M = 1 this relation follows
immediately
from(6.10)
since(rl
- =(r - ~0)/2.
For an index M +1,
we haveby assumption:
By (6.12):
which
implies
thatOn the other hand
and therefore
which proves
(6.13).
Let us pass to the limit M --~ o0 on theright-hand
sideof
(6.13).
The first term tends to zero; for the second term,recalling (6.9)
wewrite
Hence,
forsufficiently
small c > 0 we obtainwhich proves the
auxiliary
lemma. DRetranslating (6.11)
into terms of u, we find the existence of apositive
constant C such that
Together
with the estimateand the
assumption (W3)
on thegrowth
of u ox near the freeboundary
weeasily
deduce that
Following
the lines ofargumentation
in Section4,
we conclude that awaiting
time T* exists
provided
A
straightforward
calculation shows that this isequivalent
to y >f,
and com-pletes
theproof
of the theorem. D7. -
Questions
ofoptimality
In this
section,
we willprovide
numerical evidence that the criticalgrowth
exponent
yo - n
found in theprevious
sections should beoptimal.
Moreprecisely,
ifxoly
for some y4/n
at aLipschitz-regular boundary point
xo E8(uo
>0},
then nowaiting
timephenomenon
occurs. That4/ n
is agood
candidate to be the critical exponent,might
also beheuristically predicted
via the ansatzwhich
immediately yields
a =4/n.
We will also compare our results with related ones for the porous mediaequation.
The numerical
experiments
areperformed by
use of the entropy consistent finite element scheme that wasrecently developed
andanalysed by
MartinRumpf
and the third author in[19].
This schemeproved
to be very efficient intracing
the freeboundary.
Inparticular,
acomparison
withexplicitly
knownselfsimilar source-type solutions showed that the distance between discrete and continuous free
boundary
is boundedby
thegrid
size(cf. [19]).
For different values of the diffusion
growth
coefficient n in( 1.1 )
and variouspositive
real numbers y, we solveequation ( 1.1 )
on the interval S2 =(0, 10-2)
for initial data
-
We choose this
comparatively
small interval both toemphasize
thepurely
localcharacter of the criteria formulated in the
previous
sections and to increase thesensitivity
of initial data tochanges
in theexponent
y. In eachexperiment,
wediscretize S2 =
(0, 10-2) uniformly by
lVl = 501grid points,
and for discrete solutionsUy
we define the discretewaiting
timeTy by
Here,
denotes the set of timesteps,
and x is the smallestspatial grid point
that satisfies x > 0.9 .10-2.
Note thatqualitatively
the results are notchanged by
different choices ofM, provided
M issufficiently large.
In the
algorithm,
the continuous diffusion coefficientm(u) =
un has tobe
replaced by
a certain discreteapproximation
which is characterizedby
aregularization parameter
Q(for details,
cf.[19,
Section6]).
Thisapproximation
is different
if n >
1 or if n 1. In the former case, we choose the relevantregularization parameter a
as cr =10-g,
in the latter case we take or =10-12.
In
figures 3,
4 and5,
weplot
thedependency
of thewaiting
time T onthe
growth exponent
y of initial data for values of n =2 , n = 2
respectively. By
a vertical line the critical numberYo =
isemphasized.
Especially
for n= ~, figure
6gives
a characteristicpicture
of thedependency
of
waiting
time on y in a smallneighbourhood
of thisvalue yo = f.
Nevertheless,
it is worthwhile to compare ouranalytical
results with therelated ones for the porous medium
equation
Here,
it is well known(cf. [22], [2], [1], [28]
and the referencestherein)
thata
waiting
timephenomenon
occurs if andonly
ifMoreover,
thepropagation velocity
of the freeboundary
isproportional
to thequantity
For the thin filmequation,
it is proven forspecial
cases[19]
and it isconjectured
ingeneral
that thevelocity
of thefree
boundary
isgiven by limx~xo
It is very instructive to insert the criticalprofile x m
orx n , respectively
into thecorresponding velocity
... b 2. 4
.
expressions,
i.e. to assume uo to begiven by x m
orrespectively.
I Astraightforward computation
shows that in both cases we obtain anexpression
proportional
tof (x )
= x.Fig. 3. n = 1/2: Waiting time T * depending on growth exponent y.
Fig. 4. n = 3/2: Waiting time T* depending on growth exponent y.
Fig. 5. n = 5/2: Waiting time T * depending on growth exponent y.
It is well-known that the
growth exponent
of selfsimilar source-type solu- tions for thin filmequations
isgiven by
(cf. [8]
and[16]); hence, figures
3-6 show that for initial data which areslightly
smoother no
waiting
timephenomenon
occurs. In the case of the porous mediumequation
a similar observation can be made: The selfsimilarsource-type
solution behaves like whereas the criticalexponent
forwaiting
time isgiven
by~.
Fig. 7. n = 5/2, y = 1.7: Delayed onset of spreading - solution profiles for different times t (number of gridpoints: 300).
Finally, figure
7depicts profiles
of discrete solutions toequation ( 1.1 )
with n =
5/2
andMo(’)
=uoy(.)
with y = 1.7. Note thatfor t
0.4supp(U(t, ~))
=[0, 0.009]
and that the solutionprofile steepens
before the freeboundary
starts topropagate.
To illustrate that for those t the freeboundary
indeed remains
fixed, figure (8)
shows acorresponding logarithmic blow-up
thatis
given by
REFERENCES
[ 1 ] N. D. ALIKAKOS, On the pointwise behavior of the solutions of the porous medium equation
as t approaches zero or infinity, Nonlinear Anal. 9 (1985), 1095-1113.
[2] D. G. ARONSON, "The porous medium equation", In A. Dold and B. Eckmann, editors, Nonlinear Diffusion Problems. Lecture Notes in Mathematics, 1224, Springer-Verlag, 1985.
[3] E. BERETTA - M. BERTSCH - R. DAL PASSO, Nonnegative solutions of a fourth order
nonlinear degenerate parabolic equation, Arch. Rat. Mech. Anal. 129 (1995), 175-200.
[4] F. BERNIS, Viscous flows, fourth order nonlinear degenerate parabolic equations and sin- gular elliptic problems, In:" Free boundary problems: theory and applications", J. I. Diaz
- M. A. Herrero - A. Linan - J. L. Vazquez (eds.), Pitman Research Notes in Mathematics 323, Longman, Harlow, 1995, pp. 40-56.
[5] F. BERNIS, Finite speed ofpropagation and continuity of the interfacefor thin viscous flows,
Adv. Differential Equations 1 no. 3 (1996), 337-368.
[6] F. BERNIS, Finite speed of propagation for thin viscous flows when 2 ~ n 3, C.R. Acad.
Sci. Paris Sér. I Math. 322 (1996).