A NNALI DELLA
S CUOLA N ORMALE S UPERIORE DI P ISA Classe di Scienze
J AMES W. D OLD
V ICTOR A. G ALAKTIONOV
A NDREW A. L ACEY
J UAN L UIS V ÁZQUEZ
Rate of approach to a singular steady state in quasilinear reaction-diffusion equations
Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4
esérie, tome 26, n
o4 (1998), p. 663-687
<http://www.numdam.org/item?id=ASNSP_1998_4_26_4_663_0>
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http://www.numdam.org/
Rate of Approach to
aSingular Steady State in Quasilinear Reaction-Diffusion Equations
JAMES W. DOLD - VICTOR A. GALAKTIONOV - ANDREW A. LACEY - JUAN LUIS
VÁZQUEZ
Abstract. We
study
theasymptotic
behaviour ofglobal-in-time sQlutions
to aquasilinear
reaction-diffusionequation
in the case when it admits aunique
stablestationary
solution which is not a bounded function (asingular steady
state). Weinvestigate
the convergence from below ofglobal
solutions to thesingular
stateand discover that such a stabilization is not of a self-similar nature.
Actually,
itis
given by
a certainmatching
of differentasymptotic developments
in thelarge
outer
region
closer to theboundary
and the thin innerregion
near thesingularity.
Let BR = R) be a ball in of the radius R > 0. The
matching procedure
is worked out in full detail for the
following
well knownexamples
of semilinearheat
equations
in BR xR+:
and
Both
problems
areposed
in Q = BR xR+
with initial data u0(x) less than thesingular steady
state Us. Thegrowth
rate at thesingular point
(theorigin)
isproved
to be of the order O(t) for (EE) and of an
exponential
type for (PE).Mathematics
Subject
Classification (1991): 35K55(primary),
35K65 (sec-ondary).
( 1998).
1. -
Introduction, preliminaries
and main resultsLet
[ R}
cJRN
be a ball of the radius R > 0 withboundary SR
=IIXI
=R } .
We consider semilinear diffusionproblems
such asKEY WORDS: Semilinear and
quasilinear
heatequations, Singular stationary
solution, Stabilization,Matched
expansion,
Linearizedeigenvalue problem.
Pervenuto alla Redazione il 14
gennaio
1997.with a
given nonnegative
source termf (u)
of asuperlinear growth
as u -~ oo;h > 0 is a
parameter.
Suchequations model,
among otherproblems,
thetemperature
for an exothermic chemicalreaction,
and are well known to exhibit thephenomenon
ofblow-up, namely
the solution becomes unbounded after afinite time if the initial
temperature uo(x)
is toobig.
On the otherhand,
if there is a minimalstationary
solution then for small initialdata,
say less thanUS,
the solution to the semilinearparabolic problem ( 1.1 )-( 1.3)
isglobal and,
as is well known from theliterature,
tends as t -~ oo to the minimalsteady
stateUs . Moreover,
if theequation
does not admit anystationary
statethen all the solutions are
expected
to blow up in finite time for any data uo.Thus,
thegeneral
structure ofstationary
states to theparabolic problem
underconsideration
plays
a fundamental role inunderstanding
the behaviour of a wide class ofnonstationary
solutions.1.1. - Closed and open
stationary spectra
For many
problems
of interest the responsediagram
forsteady
states ofthe
stationary problem
in
corresponds
to the case of a closedspectrum.
In this case, there is a bounded classicalsteady
state forall h s h*
and nosteady
state for A >À*.
Then thecorresponding nonstationary problem
isquite
well understood and has beencarefully
studied. If h> k,,
then any solutionu (x, t)
blows up after a finite timeprovided f
satisfies some conditions which are true for instance for the mosttypical
reaction terms orf (u) ^~ uP,
p > 1.If h s k,,
and the initial function uo issufficiently
small thenu(., t)
-~Us,
the minimalstationary
solution of
(1.4),
as t -~ oo. Moreover for hk,,,
due to the classicalstability theory
the stabilization isexponentially fast,
of the order where theexponent ~,1
I > 0 is the firsteigenvalue
of thecorresponding stationary
linearizedoperator
constructed via a standardprocedure.
It is
possible, however,
for thespectrum
of thesteady problem
to be open.In this case there is a
classical,
stable(minimal) stationary
solution for hÀ*,
no
steady
state for ~.> k,, and,
what will beimportant
for us, aunique
weaksingular (i.e.,
unbounded in theL°°-norm) steady
state for h =À*.
In the critical case h =X,,
thecorresponding singular steady
stateUs
is still stable from belowin,
say, theL2-norm (but quite
unstable fromabove,
cf.[PV]).
There is now the
question
of the rate ofapproach
ofglobal
classical solutionsof
( 1.1 )-( 1.3)
to theunique singular steady
stateUs
in thepointwise
sense takenover
compact
subsets ofBR B fOl (x
= 0 is assumed to be theunique singular
point where Us = oo),
as well as of the rate ofdivergence
of at thesingular point x
= 0.1.2. - The heat
equation
withexponential
sourceIn the
present
paper westudy
the critical case À= À*
of the openspectrum.
By rescaling
x H ax we mayput
h = 1. We consider the classical combustionequation [Z4]
with anexponential
sourceThen the open
spectrum
case arises if 10. Theunique singular stationary
state exists for N > 2 and has the form
(cf. [G]
and[JL])
In order to
satisfy
theboundary
condition we setWe fix initial data uo E
For
3
9 thesingular
state is unstable. On the otherhand,
if 10 it is stable from below and as t -~ oo(see
e.g.[LT]
and[PV])
Recall that for N > 10 the solution
u (x, t)
withsingular
initial datauo V L 00 (B R)
isunique
in the class{u UI,
see[PV].
We will describe the
precise
rate of convergence ofu(., t)
toUs using
theL 00 -norm. The main facts are stated as follows.
THEOREM 1.1. Let N > 10 and
(1.7)
hold. Then theglobal
solution to(EE) satisfies
where the constant ao > 0
depends only
on N.The
sharp
estimate(1.9)
is the result ofmatching
of the behaviour in the innerregion,
aneighbourhood
of theorigin,
and the outerexpansion
away fromr = 0. It is worth
mentioning
that for N >10,
the outerexpansion
isgiven by
the linearized
problem
due to a suitableintegrability property
of the nonlinearperturbation.
We prove that thematching
of theexponential-type
convergence in the outerregion
with the inner behaviour determines the rate(1.9).
Theconstant ao is
computed
in Section5,
formula(5.13).
Our
analysis
covers all dimensions N >10,
which can be viewed as realnumbers
(not only integers)
for theLaplacian
whenapplied
to radialfunctions,
Au = We prove that for any N > 10 the behaviour in the outer
region
isgoverned by
the stablemanifold
of a linearoperator
A which admitsa suitable
self-adjoint
extension. It is shown that it has apurely point spectrum
in ifN > N+ =
6 +2,J5,
and in aweighted
space if N E(10, N+).
(The origin
r = 0changes
from thelimit-point
case of asingular endpoint
for
N+
to the limit-circle case for NN+.)
The case N =10,
where after anexponential scaling,
the outerexpansion corresponds
to a slowdecay
on the centre
manifold
ofA,
needs aseparate analysis.
We note that our inneranalysis
in Section 3 is true also for N = 10.In order to show the range of
applications
of the abovetechniques,
we alsobriefly
consider some related nonlinearparabolic problems.
1.3. - Generalizations
First,
for the semilinearequation
with apower-type
reaction termthe case of an open
spectrum happens
if(cf. [JL])
The
corresponding singular stationary
state has the formFixing
now R =1,
weget
thefollowing boundary
conditionTHEOREM 1.2. Let N >
10,
p > pu, and initial datauo(x) satisfy (1.7).
Then the solution u(x, t)
to(PE)
is such that as t -->. oo’
The methods and main results carry over to a class of more
general quasi-
linear heat
equations
with the diffusion term(the p-Laplacian operator)
orA(u’) (porous
mediumoperator).
Forinstance,
we can cover thecase of an open
spectrum
for aquasilinear equation
withexponential
sourceor for
equations
withpower-like
nonlinearities1.4. - Plan of the paper
Sections 2-5 are devoted to the detailed
study
of(EE)
and to theproof
of Theorem 1.1 for N > 10. An outline of the
proof
of Theorem 1.2 forequation (PE)
isgiven
in Section 6. Thepresent
methodsapply
toquasilinear generalizations
such as reaction-diffusionequations
with moregeneral
diffusiveoperators
ofquasilinear type.
Thesegeneralizations
are discussed in Section 7.In the
Appendix
wegive
a derivation of usefulHardy’s
identities andinequalities
with best
possible
constants.Acknowledgments.
We would like to thank J.R.King
for useful discussions.This paper was started while the second author visited the School of Mathe- matics of the
University
ofBristol, Department
of Mathematics of Heriot-WattUniversity
andDepartment
ofMathematics, University
Autonoma ofMadrid,
to which he is
deeply grateful
for theirhospitality.
His final visit to Madridwas
sponsored by
the programme "Profesor Visitante Iberdrola de Ciencia yTecnologia".
The second and the fourth authors have beenpartially supported by
EEC GrantSCI--0019-C(TT)
and DGICYTProject
PB90-0218(Spain).
2. - First lower bounds for the
exponential problem
We
begin
with thestudy
ofproblem (EE)
for solutions which are belowUS ,
cf.
(1.7).
It isproved
in[PV]
that forN > 10, given
uosatisfying (1.7),
sucha solution is
unique
and bounded for all t > 0.Setting
with
we arrive at the
problem
with initial data We may assume that Wo E
L2(BR)
and that0 so that via a standard
regularity theory w (x, t)
EC°° ((BR B {OJ)
xR+)
and
w(x, t) > 0
inBR
for all t > 0. We denoteby (-, .)
andI - ~ I I 2
the scalarproduct and the
norm inL 2 ( BR ) .
We first prove the estimate of the convergence to the
singular steady
statein the
L2-norm.
Here and in thesequel
c > 0 denotes different constants whichdepend
on theparameters
of theequation
and initial data.LEMMA 2.1. Let N > 10. Then as t --~ oo we have
PROOF.
Multiplying equation (2.2) by w
inL2(BR)
andusing
theregularity
of the classical solution we have
Using
now theHardy inequality (or
theHardy-Littlewood-P61ya inequali- ty, [HLP];
see also[PV]
and theAppendix)
with bestpossible
constant,we arrive at the
inequality
where y =
(N - 10)/(N - 2)
> 0.Then,
sincewe obtain from
(2.6)
Finally,
sincewhere it
I > 0 is the firsteigenvalue
of theproblem
we
get
theinequality
whence estimate
(2.3).
DWe now prove some
preliminary
lower bounds ofglobal
solutions in the class{u US}.
LEMMA 2. 2. Under the
hypotheses of
Theorem 1.1PROOF. In view of the
Strong
MaximumPrinciple,
for any to > 0 wehave
that V(Us - u (to ) ) ~
n 0 onSI,
where n is the outward normal toSI.
Hence there exists a monotonedecreasing
function suchthat in
BR,
and henceu- (r, t)
inBR
x(to, oo) by comparison,
where u is the solution with the initial datauo
at t = to. Sincewe have that
where
h (t)
is such thatUs(h(t))
=E(0, t), i.e.,
Hence,
from(2.13)
Since
~(0, t), using (2.3)
we arrive at(2.12).
D3. - Inner
analysis
In this section we prove that in the inner
region
the solutionu (r, t)
isgiven asymptotically by
aquasi-steady problem
so that it is close to aradially
sym- metricstationary
solution. We thereforebegin
with thestudy
of theproperties
of a
family
ofstationary
solutions to(EE).
3.1. -
Properties
of thefamily
of radialstationary
solutions forN >
10 Consider thesymmetric stationary equation
Let
Uo (r)
be the solution of(3.1 )
with the conditionsClearly, Uo (r )
0 andU¿(r)
0 for all r > 0. When 10 we haveand if N > 10 as
where
y+ (N)
0 is a constant,explicitly computed
later in Section 4. In thecritical dimension N = 10 the
asymptotic expansion
ofUo(r)
is different:Via the
scaling
invariance ofequation (3 .1 )
we havethat, given
a fixedit E
R,
the solutionU~, (r)
with the conditionshas the form
and satisfies
(3.3).
For N > 10while for N = 10
In both cases as it --+ oo
Observe that
U,~ (r)
isstrictly
monotoneincreasing
in g for all r > 0[JL].
3.2. -
Asymptotic
behaviour in the innerregion
We show that in the inner
region
theasymptotic
behaviour isgiven by
aslow motion of the orbit
lu(-, t), t
>0}
near thefamily
ofstationary
states>
0}.
In view of an evidentsymmetrization
andcomparison argument
we now may assume that u =
u(r, t) >
0 issymmetric
anddecreasing
in r forall t >
0.Therefore,
Moreover,
intersectioncomparison
with thefamily
ofstationary
solutionsimplies
that we may also assume strict
monotonicity:
See details in
[S4, Chapter 7]
and a similarcomparison
in theproof
ofLemma 3.2.
We first establish a
slowly varying stationary
structure of the solution in the innerregion,
a result which isquite general
for such kind ofasymptotic
behaviour. We state this result in its most
general
form for all dimensions 10.THEOREM 3.1. Let
N >
10. Then as t - o0uniformly
oncompact
subsetsf ~
=re’(t)12 c 1,
c > 0.PROOF. We introduce the rescaled
function 0,
It then follows from
(3.11)
thatand
Substituting (3.14)
intoequation (EE),
Section1.2,
andintroducing
the newtime variable
we obtain that the function
8 (~, t)
0 satisfies thefollowing
semilinearparabolic equation
where S is the
stationary operator (3.1 ),
C is the linear first-orderoperator
and
Equation (3.17)
looks like atime-dependent perturbation
ofequation (EE).
Observe that the
perturbation
is notintegrable
in time.Indeed,
we havefrom
(3.19)
and(3.16)
thatIt follows from
(EE)
with x = 0 thata’(t)
=ut(0, e"(t)
so thatby (3.12)
wemay suppose
that
1. Theperturbation
isuniformly
bounded.Therefore,
via the standard C°°-interior
regularity
foruniformly parabolic equations,
weobtain bounds for the solution 0 and its derivatives and which
are uniform on
compact
subsetsof ~ .
Let us prove that
g(r)
~ 0 as t - 0. We argueby
contradiction. Since g isuniformly bounded,
we then may assume that there exists a sequenceI
-~ oo such that ~ - yo 0. Thenusing
the interiorregularity,
we conclude that
0 (.,
ik+ s) 2013~ /x(-, s ) uniformly
oncompact subsets,
where hsolves the autonomous
equation
and moreover
By
theStrong
MaximumPrinciple (see
commentsbelow),
this means thath(~, s)
is the
stationary solution, h (s)
=Vo
whereVo
solves thestationary equation
satisfying Vo Us .
For any yo > 0 the functionVo
comes from theblow-up
self-similar solution of
(EE)
of the formOne then concludes that
Vo
must intersectUs, otherwise,
as it iswell-known,
no
blow-up
ispossible
in theproblem (this
intersectionproperty
can be seen from the ODE forvo). Thus,
under theassumption Us, geT)
vanishesat
infinity. Therefore, multiplying equation (3.17)
with r = tk + sby
the testfunction
X (~, s), integrating
over xR+
andpassing
to the limit as k ~ oo,from the
regularity
we deduce that0 (.,
rk+ s) --* f ( ~ , s ) uniformly
oncompact
subsets where the functionf (~, s)
satisfies the limitequation (3.17),
i.e.It follows from
(3.15)
thatf
satisfies the same conditions. Observethat,
dueto the standard
regularity theory
foruniformly parabolic equations
withanalytic coefficients, f
is a C °° -function and moreoveranalytic
in x.Therefore,
we conclude thatIndeed,
if(3.22)
is not true then via the Sturmianargument (see
a full listof references in
[S4, Chapter 4]), equality (3.15)
forf implies
thatf (~, s)
intersects the
stationary
solutionUo (~ ) infinitely
many times for 0. Since the number of intersections between0(~, r)
andUo (~ )
cannot increase with time andinitially (say,
for i = 8 >0)
it was finite due to theanalyticity
of bothsolutions,
this contradicts theassumption. Hence, (3.22)
isvalid, completing
the
proof.
DWe now establish a result which in
particular
shows that the stabilization in(3.13)
is from above.LEMMA 3.2. For
N >
10 we havePROOF. We argue via the Intersection
Comparison
with thefamily
of sta-tionary
solutions(the
method ofstationary
states, see[S4,
p.414]).
Sinceby
theStrong
MaximumPrinciple
>( US ) r
with t > 0 for r =R,
we have from(3.10)
that anystationary
solutionU,(r)
with tt » 1 intersectsM(r, 1) exactly
once.By
the Sturmianargument
the number of intersectionsJ,(t)
be-tween the solutions
u (r, t)
andU~, (r) (i.e.
the number ofsign changes
of thedifference
u(r, t)
-Ut-t(r)),
cannot increase in time.Hence,
1 for allt > 0. This means that
u (r, U~, (r )
if p =a (t ) :
Rescaling (3.24) by
means of(3.14)
weget (3.23)
as well as(3.12).
Observethat
by
theStrong
MaximumPrinciple
we have the strictinequality
in(3.23)
for 0. 0
The function
a (t)
in(3.11 )
is still unknown and will be determined later viamatching
with an outerasymptotic expansion.
4. - Linearized
analysis
We devote this section to
develop
further the functional framework which allows us toimprove
the convergenceanalysis
of Section 2. Let us rewriteequation (2.2)
for w= Us -
u in the formwhere ,,4 is the linear
operator
with v =
2(N - 2),
and F is the nonlinear oneWe
begin
with’ theproperties
of the linearoperator
A.First,
consider Awith domain
D(A)
=Using
thefollowing Hardy inequality (see
theAppendix)
we have that Aw E
L2(BR)
for all w ED(A)
and ,,4 issymmetric.
It followsfrom
(2.6)
thatwith y =
(N - 10) / (N - 2)
> 0 if N > 10. Theoperator
,,4 is lower semibounded and moreoverpositive
definite.Therefore,
there exists aunique
Friedrichs extension of .,4
(still
denotedby ,,4)
which is obtained from thequadratic
form associated with ,,4 and satisfies the same lower bound(4.5),
seee.g.
[BS,
p.228].
It then follows from(4.5)
thatD(A).
Aslong
aswe consider
radially symmetric
functions(due
to thesymmetrization argument
forparabolic equations)
we can take any real number N > 10.We need to consider further
properties
of ,,4separately
in the so-calledlimit-point
case and in the limit-circle case.(i) N > N+
= 6 +2,J5.
Let us show thatA-I
iscompact
and a Hilbert- Schmidtoperator. Indeed, solving
thecorresponding homogeneous problem
we obtain the
following
two solutionsand
where y- y+ 0 are the roots of the
quadratic equation
so
that,
for N >10,
We have that
and moreover
1/1 +
E One can also check thatand ,A is
essentially self-adjoint
onR) [RS,
p.161]. Moreover,
one cansee that
1/1+
EH 2 ( BR ) provided
that N > N- = 6 +3,J2 ~
10.24N+.
The situation
(4.9), (4.10)
is called thelimit-point
case of asingular endpoint [R,
p.205].
Due to thecoercivity
extimate(4.5)
is well-defined.Therefore, calculating
via a standardprocedure
for the Sturm-Liouvilleoperators,
we obtain anintegral equation
with a Hilbert-Schmidt kernelC (x, y)
Ewhence the result
[BS,
p.250].
It then follows that there exists an in-creasing
sequence of theeigenvalues
ofA,
and thecorresponding eigenfunctions
form an orthonormal basis in
L2 (BR)
restricted to radial functions. We have that~,1
I issimple
and1/11 (r)
> 0 inBR.
Thesingularities
of1/1k (r)
asr -~ 0 are of the
type
forinstance,
with a constant a = > 0.
(ii)
10 NN+.
It follows from(4.7), (4.8)
that both functions1/1’:!:
satisfy
which
corresponds
to the limit-circle case of thesingular endpoint
r = 0[R,
p.209].
Then there existself-adjoint
extensions of A[R,
p.210].
Weshow that for N > 10 a
unique
Friedrichs extensionagain plays
aspecial
role.In the limit-circle case an extra
boundary
condition at thesingular point
r = 0is necessary. This is
provided by
the uniform bound on the solutionNamely,
we set w =~_ (r) W .
Then the function W satisfies theequation
with the linear
operator
and,
due to(4.13),
theboundary
conditionThe
equation Bq5
= 0 admitslinearly independent
solutions0+
=1/1 + / 1/1-
andq5- =
1 where the latter one does notsatisfy (4.16). Therefore,
theendpoint
r = 0 is now in the
limit-point
case(and
can be treated as aregular one)
for
operator (4.15) subject
to the condition(4.16).
Then in a similar way one concludes thatB-1
is a Hilbert-Schmidtoperator
witheigenfunctions
whichform an orthonormal basis in the
weighted
spacep(r) = r4-N,
ofradial functions.
We sum up the results as follows.
LEMMA 4.1. For N > 10
operator (4.2)
admits aunique self-adjoint
Friedrichsextension which is
positive definite
with apurely
discretespectrum.
Thefirst (minimal) eigenvalue
isstrictly positive:
We can now
easily improve
estimate(2.3).
COROLLARY 4. 2. Let N > 10. Then there exists a constant
Co >
0depending
on the initial data such that as t - 00
PROOF. It follows from Lemma 4.1 that
Therefore, multiplying (4.1 ) by w
in andusing (4.19)
andinequal- ity (4.3)
weget
Thus,
the function isnonincreasing
whence the result. D It follows from the next section that the constantCo
is indeedpositive.
5. - Detailed
asymptotics: Matching expansion
5.1. - The outer
region
We now prove that for N > 10 the
asymptotic
behaviour of radial so-lutions in the outer
(boundary) region
isgoverned by
the stable manifold ofoperator (4.2).
LEMMA 5.1. Let N > 10. There exists a constant
Co
=Co (uo)
> 0(same
asin
(4.18))
such that as t -~ ooPROOF.
Setting w = e-Xltv
we obtain theequation
with initial data
v (o) -
vo - wo. Sinceby
theassumptions w = Us -
u21 log r I
andby (4.11) *1 (r) -
rY+ as r -~0,
we deduce that there existsa constant A > 0 such that
The last
perturbation
term in(5.2)
isexponentially
small in the setsc}
(and
henceintegrable).
We now prove thatf -
0 does notbelong
to the W-limit set of thesolution, w(vo).
In order to derive a lower bound we substitute the upper bound
(5.3)
in(5.2)
to
get that v >
z, where the functionz(r, t)
solves thefollowing
linearparabolic equation
with the same initial and
boundary
data. It follows from Lemma 4.1 that the solution isgiven by
the serieswhere the coefficients
satisfy
thedynamical system
One can see from
(4.3)
and(4.9)
that theright-hand
sides in(5.6), (5.7)
arewell-defined,
and the scalarproduct
terms areexponentially
small(so
that theperturbation
isintegrable). Specifically,
wesplit
theintegrals
in(5.6), (5.7)
into two
parts,
overBro
and overBR B Bro,
where ro -ro (t)
is such that= 1. An
exponential
estimate of theintegral
overBro
isstraightforward.
In the secondleading integral
we use theexpansion (4.11)
and the fact that the
perturbation
term(4.3)
isquadratic
of the orderw - 0.
Finally,
we obtain thefollowing exponential
estimatesSince
h h i -h2
0 for all k =2, 3,...,
we conclude from(5.8)
that theasymptotic
behaviour as t ~ oo isgoverned by
the firstequation.
From(5.6)
we deduce that the limit value
ci (oo)
isstrictly positive provided
that A is nottoo
large,
a condition which is not essential due to the translational invariance in time of theequation (EE)
and estimate(5.3).
Passing
to the limit t ~ oo we then obtain thatwhence the lower bound.
Finally, multiplying (5.2) by vt
inL2(BR)
andintegrating
over tusing
estimates
(5.3), (5.8), (5.9),
we prove convergence of thefollowing integral
In
fact,
one can prove that(5.2)
admits anapproximate Lyapunov
functionwhich is "almost"
nonincreasing
on the evolution orbits.Fix a sequence
ftj I
-+ oo.Passing
to the limit in(5.2)
as t= tj
+ s -~ oo,using (5.10)
and standardregularity
results foruniformly parabolic equations
we obtain that the limit set of v satisfies
It then follows from
(5.3)
and from the lower bound(5.9)
thatThe
uniqueness
of limitpoints, Co
>0,
follows from mono-tonicity : multiplying (5.2) by v
andusing (4.3)
and(4.9)
we deduce thatThis
completes
theproof.
5.2. - Formal
matching
with the innerregion
for N > 10We now show how to match
formally
the inner behaviour from Theo-rem 3.1 with the outer behaviour indicated in Lemma 5.1.
Using
the inner be-haviour
(3.13)
and theasymptotic expansion (3.8)
andsetting
here r =8, 8« 1,
we
expect
the difference w= Us -
u tosatisfy
On the other
hand, substituting (4.11)
into(5.1 )
we deduce that at r = 8Comparing (5.11)
with(5.12)
we obtain thefollowing asymptotic equality
which
implies (1.9)
andgives
the value of ao =REMARK. This
analysis directly applies
to the construction of solutions=
2, 3, ... },
which in the outerregion
aregoverned by
the rest of thespectrum
=2, 3, ... }
of theself-adjoint operator A,
so thatwk (r, t)
~for t » 1 in
13
rR}.
Then the formalmatching procedure
yields
a similar butslightly greater
rate ofgrowth
at theorigin
of the formI
for t » 1.Nevertheless,
unlike the first stable(and absolutely
stable frombelow) pattern
studied in thepresent
paper, thehigher
order ones
{uk (r, t),
k =2, 3, .. I
areexpected
to be unstable andplay
no rolein the evolution
analysis
of the dense class ofglobal
solutions.Any positive perturbation
of suchuk’s implies blow-up
of the solution in a finitetime,
whilea
negative
one leads to convergence to the first stablepattern.
5.3. - Proof of Theorem 1.1.
We now
justify
theprevious
formalanalysis.
Webegin
withobtaining
anupper bound
of the functiona(t) given
in(3.11 ).
LEMMA 5.2. There holds
PROOF. It follows from
(3.23), (3.7)
and theexpansion (3.8)
that for a fixedpositive
r « 1Comparing
with(5.12)
we conclude thatand estimate
(5.14)
follows. DThe second
step
consists inestablishing
a lowerbound,
which willcomplete
the
proof
of Theorem 1.1 with theprecise
value(5.13).
LEMMA 5.3. AS t - 00
PROOF.
First,
one can see thatis a
supersolution
of(4.1 ) provided
that T »1,
so thatw (r, 0) .
Thereforeis a subsolution of
(EE),
i.e.By
themonotonicity
ofu(r, t)
in r we havefor t »
T,
where the supremum iseasily
calculated for t » 1by substituting
the
expansion (4.11)
into the definition of the function u in(5.17), (5.16).
Itis attained at r ~ const . exp
(Àlt /y+),
whence the result. 06. - Stabilization for
(PE)
Let us
briefly
describe some newaspects
in thestudy
of stabilization for the second modelproposed
in this paper, the semilinearequation (PE)
of Section 1.3.6.1. - Inner
analysis
The
stationary equation
admits the
family U~, (o) _
JL >0,
of the radial solutionswhere
Uo
is such thatUo (o)
= 1. Then(3.10)
holds underhypothesis (1.10).
We have that
(3.13)
is true on thecompact
subsetsf~ =rot (p-1)12(t) ::~ c).
Theproof
is similar to that for(EE).
The rescaled function isgiven by (cf. (3.14)) u(r, t)
=a (t)9 (~, t),
which solves theperturbed equation (3.17)
withand The rate of
perturbation
is nowso that the
perturbation
isbounded, ~g’(i) ( 1,
and tends to zero. The passageto the limit to prove Theorem 3.1 is the same. Lemma 3.2 also holds.
6.2. - Linearized
analysis
The function w
given by (2.1 )
solves theequation (4.1 )
where the linearoperator
A is as in(4.2)
withThe
perturbation
term F isSolving
thehomogeneous problem (4.6) (with
R =1)
we arrive at the solu- tions(4.7)
where y± satisfies aquadratic equation
andfinally
We have D > 0 if D = 0 for p = pu and D 0 if Observe that pu has the
equivalent representation
as the maximal root of the
quadratic equation
From the
Hardy inequality (2.5)
we have that(4.5) holds,
whereso that ,~4 is
positive
definite. We consider two cases.(i) Checking
the conditions(4.9), (4.10)
of thelimit-point
case we findthat the first one, N +
2y+
>0,
isalways
true while the secondcondition,
N +
2y- 0,
reduces to theinequality
Therefore,
N >N+
= 6 +20i
andwhere Pc is the maximal root of the
quadratic equation (6.11).
One can seefrom
(6.9), (6.11 )
that Pc > pu for N >N+.
(ii)
In the limit-circle case for p > pu, admits aunique
Friedrichsextension and
~,1
I > 0by (4.5), (6.10).
Finally,
for p >Pu, N
>10,
we arrive at Lemma 4.1 andCorollary
4.2.6.3. -
Matching expansion
The results from Section 5 are
proved similarly. Finally
we derive thatwhere and
M¡
andM2
arepositive
constants, whence(1.13).
7. - Stabilization for
quasilinear equations
As a
typical example,
without loss ofgenerality
we nowbriefly study
thequasilinear equation ( 1.15)
with the porous mediumoperator, m
> 1.Setting
u = vm we arrive at the
equation
with thestationary operator
of(PE):
Therefore,
the same critical value(1.10)
appears and thefamily
ofstationary
solutions is
given by (6.2).
We now follow the lines of theprevious
section.In the
inner analysis,
theperturbed equation (3.17)
consists of thestationary
operator (6.1)
and the nonlinearperturbation
withwhere
Since the
perturbation
isuniformly
bounded and vanishes atinfinity,
the resultsin Section 3 remain valid.
In the
linearized analysis,
we arrive at theequation
.where A is
given by (4.2), (6.5)
and F is as in(6.6).
It follows from(7.4)
that the linearized
operator
,,4 is now defined in theweighted
spaceL2(BR)
ofradial functions with the
weight
functionThen
(6.7)
holds.Finally,
the conditions(4.9), (4.10)
for thelimit-point
caseto be valid in
L 2(BR)
are trueprovided
thatthe restriction which
plays
the same role as theinequality (6.12).
The extension in the limit-circle case isperformed similarly.
In the
matching expansion,
estimate(5.3)
is true since the functionA 1/1’1 (r)
is asupersolution
to theequation
satisfiedby v
=eÀ 1 t w:
The lower bound is derived via the same
technique applied
to thefully
linearizedequation (7.7).
Lemma 5.2 holds. In the
proof
of Lemma 5.3 the function(5.16)
is nolonger
asupersolution
of(7.7). Nevertheless,
such asupersolution
is constructed via a smallperturbation. Namely,
in(5.16)
one can takehi (t)
=Àl (1
Then under a suitable choice of the
parameters 1£1 «
1 and y » 1 thepoint
ofthe supremum in
(5.19)
for t » 1always belongs
to the domain where(5.17)
is a subsolution. The rest of the
proof
is the same.Appendix:
On someHardy inequalities
and identitiesThough Hardy’s inequalities
are well-known in the literature(see [HLP]
and
[L], [Li]
and referencestherein),
wepresent
here the derivation of someidentities and
inequalities
with best constants. Let us derive thefollowing Hardy inequality
in a ball B =llxl [ R },
R > 0.THEOREM A .1. For every u E
H 2 ( B )
n we have in dimensions N > 5 theinequality
with best constant
This is
strongly
related to the firstHardy inequality [HLP] (see
also aproof
in
[PV]).
THEOREM A.2. For every u E
Ho (B)
we have in dimensionsN >
3 theinequality
with best constant C =
4/(N - 2)2.
First of
all,
the functions u EC2,, (B)
which vanish at=
R are a denseset in
Ho ,
hence it isenough
to prove the result for them. We may take R = 1.AN IDENTITY. In dimensions
N >
5 thefunction
EL 2(B).
It iseasily
checked that =-alxl-4
with a =2 (N - 4) . Therefore,
in thesedimensions
Now we use
A (u 2)
= + toget
Observing
that Au+
= 0 we arrive at the"energy" identity
from which the statement of Theorem A.l follows after
applying
the Holderinequality
but weget
a constant k =1 / (N - 4)
which is notoptimal.
MORE IDENTITIES. Let
BE
={x :
EI R }
and letS, = lixl == ~}.
Wehave
We
compute
the firstintegral
of theright-hand
side aswith
Using
the fact thatA(Ixl-’) = -(N - 3)lxl-’
andA (I X 1-2) = -2(N - 4) IX 1-4
we
get
and in this way
In the limit s 0 we obtain in dimensions
N >
5 theidentity
Moreover,
from the formula(VU)IIXI = V(ullxl)
+(UX)IIX13
weget.
PROOF OF THEOREM A .1. We combine
(4)
and(6)
toget
from which
by
the Holderinequality
we obtain anembedding inequality
Going
back to(4)
we haveUsing
the Holderinequality
in the second member weget
formula(1)
withconstant
(2).
Observe thatby (6)
this alsogives
anotherembedding inequality
REMARKS.
1)
Theproof
isquicker
if we use the firstHardy inequality.
Then we have I
with best constant C =
4/(N - 2)2. Using (5)
wefinally get
the basic formulaNow observe that
Using
the Holderinequality
in theright-hand
side of(10)
weget (1)
with theprescribed
value of k.Moreover,
it is clear that since C is the best constantfor
(3), k
will also be the best constant for(1).
1)
Formula(8)
is astronger
version of(1), interesting
in itself.2)
Most of the above results become trivial for N = 4.However, identity (4)
becomes
The