ON THE CONTROLLABILITY OF THE 2-D
INCOMPRESSIBLE NAVIER-STOKES EQUATIONS WITH
THE NAVIER SLIP BOUNDARY CONDITIONS
JEAN{MICHEL CORON
Abstract. For boundary or distributed controls, we get an approxi- mate controllability result for the Navier-Stokes equations in dimension 2 in the case where the uid is incompressible and slips on the boundary in agreement with the Navier slip boundary conditions.
Keywords: Controllability, Navier-Stokes equations, Navier slip boundary conditions.
1. Introduction
Let be a bounded nonempty connected open subset ofR2of class
C
1. Let ;# be an open subset of ; :=@
and let # be an open subset of . We assume that;# #6=
:
(1.1)We denote by
n
the outward unit normal vector eld on ; and by the unit tangent vector eld on ; such that (n
) is a direct basis ofR2. The set ;# is the part of the boundary and # is the part of the domain on which the controls acts. The uid that we consider is incompressible so that the velocity eldy
satisesdiv
y
= 0:
On the part of the boundary ;n;# where there is no control the uid slips it satises
y
n
= 0 on ;n;# (1.2)and the Navier slip boundary condition 24]
y
+ (1;)n
i@y
i@x
j +@y
j@x
ij = 0 on ;n;# (1.3) where is a constant in 01),
n
= (n
1n
2), = (12), and where we have used the usual summation convention. Note that the classical no-slip condition, due to Stokes,y
= 0 (1.4)corresponds to the case
= 1, which is not considered here. The slip boundary condition (1.3) with = 0 corresponds to the case where thereCentre de Mathematiques et Leurs Applications, Ecole Normale Superieure de Cachan et CNRS URA 1611, 61 Av. du Pdt Wilson, 94235 Cachan Cedex, France. E-mail address:
Jean-Michel.Coron@cmla.ens-cachan.fr.
Received by the journal January 5, 1996. Accepted for publication April 15, 1996.
This work was partially supported by the GDR \Automatique" of the CNRS.
the uid slips on the wall without friction. It is the appropriate physical model for some ow problems see 16] for example. The case
2 (01) corresponds to a case where there the uid slips on the wall with friction it is also used in models of turbulence with rough walls see, e.g., 17]. Note that in 3] F. Coron has derived rigorously the slip boundary condition (1.3) from the boundary condition at the kinetic level (Boltzmann equation) for compressible uids. Let us also recall that C. Bardos, F. Golse, and D.Levermore have derived in 2] the incompressible Navier-Stokes equations from a Boltzmann equation.
Let us point out that, using (1.2), one sees that (1.3) is equivalent to
y
+ curly
= 0 on ;n;#with
2C
1(;R) dened by (x
) = 2(1;)(x
);1;
8
x
2; (1.5)where
is the curvature of ; dened through the relation @n@ =:
In fact we will not use this particular character of (1.5) in our considerations Theorem 1.1 below holds for any 2C
1(;R).The problem of approximate controllability we consider is the following one: let
T >
0, lety
0 andy
1 inC
1(R2) be such thatdiv
y
0 = 0 in (1.6)div
y
1 = 0 in (1.7)y
0n
= 0 on ;n;# (1.8)y
1n
= 0 on ;n;# (1.9)y
0 + curly
0 = 0 on ;n;# (1.10)y
1 + curly
1 = 0 on ;n;#:
(1.11) We ask whether there existy
2C
1(0T
]R2) andp
2C
1(0T
]R) such that@y @t
;y
+ (y
r)y
+rp
= 0 in (n#)0T
] (1.12)div
y
= 0 in 0T
] (1.13)y
n
= 0 on (;n;#)0T
] (1.14)y
+ curly
= 0 on (;n;#)0T
] (1.15)y
(0) =y
0 in (1.16)and, in an appropriate topology, we have
y
(T
) is \close" toy
1:
(1.17) That is to say, starting with the initial datay
0 for the Navier-Stokes equa- tions, we ask whether there are solutions which, at a xed timeT
, approach arbitrarily closely to the given velocity eldy
1.Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
Note that (1.12) to (1.16) have many solutions. In order to have unique- ness one needs to add extra conditions. These extra conditions are the con- trols. Various possible controls can be considered. For example, a possible choice for the controls is
y
n
on ;#0T
] (1.18)y
+ curly
on ;#0T
] (1.19)@y @t
;y
+ (y
r)y
+rp
in #0T
]:
(1.20) More precisely, lety
s2C
1(0T
]R2) andp
s2C
1(0T
]R)be such that (1.12) to (1.16) hold for (yp
) = (y
sp
s). Let us consider the following Cauchy problem: ndy
2C
1(0T
]R2) andp
2C
1(0T
]R) such that (1.12) to (1.16) hold andy
n
=y
sn
on ;# 0T
]y
+ curly
=y
s + curly
s on ;#0T
]@y @t
;y
+ (y
r)y
+rp
=@y
s@t
;y
s+ (y
sr)y
s+rp
s in #0T
] has, up to an arbitrary function depending only on time added top
, one and only one solution which is (yp
) = (y
sp
s). One can also use for the control (1.18), (1.20), and curly
on ;#0T
]:
Another possibility for the control is (1.20) andy
on ;#0T
]:
Let
d
2C
0(R) be dened byd
(x
) = dist (x
;) = Minfjx
;x
0jx
02;g:
Our controllability result isTheorem 1.1. Let
T >
0, lety
0 andy
1 inC
1(R2) be such that (1.6), (1.7), (1.8), (1.9), (1.10), and (1.11) hold. Then, there exist a sequence (y
kk
2 N) of maps inC
1( 0T
]R2) and a sequence (p
kk
2 N) of functions inC
1(0T
]R) such that, for allk
2 N, (1.12), (1.13), (1.14), (1.15), and (1.16) hold fory
=y
k andp
=p
k and such that, ask
!+1,Z
d
jy
k(T
);y
1j!0 8>
0 (1.21)j
y
k(T
);y
1jW;11( ) !0 (1.22) and, for all compactK
included in ;#,j
y
k(T
);y
1jL1(K)+jcurly
k(T
);curly
1jL1(K) !0:
(1.23) In this theorem, and throughout all this paper,W
;11() denotes the usual Sobolev space of rst derivatives of functions inL
1() andj jW;11( )one of it's usual norms, for example the norm given in 1, Section 3.10].
Remark 1.2. a) The question of the approximate controllability of the Navier-Stokes equations for incompressible uids has been raised by J.-L Lions in 20] and 21] for the no-slip boundary condition
y
= 0 on (;n;#)0T
].Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
b) Note that (1.21), (1.22), and (1.23) are not strong enough to imply
j
y
k(T
);y
1jL2( ) !0:
(1.24) But, in the special case where = 0 in ;n;#, Theorem 1.1 still holds even if one requires also (1.24) see Remark 2.4 below.c) Let us point out that, if ;# = ;, there is, of course, no dierence between the slip case and the no-slip case. Theorem 1.1 is, up to our knowledge, new even if ;# = ; in this special case the proof of Theorem 1.1 can be strongly simplied. If ;# = ;, we get from (1.23) that
y
k(T
)!y
in the Sobolev spaceH
1() ask
!1, i.e. we prove approximate controllability inH
1(). So we give a positive answer to J.{L. Lions's conjecture 20]-21] in dimension 2 when ;# = ;.Similarly, if, for some
"
0>
0, fx
2d
(x
)< "
0g #, we get the same result, i.e., approximate controllability inH
1() for the Navier boundary condition and for the no-slip boundary condition. To see it, let, for"
0 2 (0"
0=
2), 0 = fx
2d
(x
)> "
0g, let ;0 =@
0, let;00
... ,;0i... , ;0g be the connected components of ;, and let ;#0 be the union of the ;0i such that Minf dist (x
;#)x
2;0ig6"
0. Apply Theorem 1.1 with 0 for , 0\# for #, ;#0 for ;#, and"
0>
0 small enough. Then, for the (y
kp
k) given by Theorem 1.1, extendp
k to all of , modify in a suitable wayy
k in fx
2 0d
(x
)<
2"
0g and nally extend in a suitable way the newy
k to all of .d) Of course, by density, Theorem 1.1 still holds if
y
1 is only of classC
1. Moreover, as it will follow from our proof, one can also assume less regularity ony
0 if one requires only that (y
kp
k) are of classC
1 on (0T
]. See Remark 3.1 below for more details.e) E. Fern!andez-Cara and J. Real in 11] and E. Fern!andez-Cara and M. Gonz!alez-Burgos in 10] have proved that, for 2-D and 3-D incom- pressible uids, the linear space spanned by the
y
(T
) such that, for somep
: 0T
]!Rone has (1.12), (1.13), (1.16), and the no-slip boundary condition, is dense, with respect to theL
2-norm in the set ofy
1 : !R2 satisfying (1.7) andy
1 = 0 on ;n;#.f) A.V. Fursikov and O.Yu Imanuvilov have proved in 13] 14] that, if
;# = ;, then one has exact zero controllability in large time, i.e., for any
y
0 satisfying (1.6), there existT >
0,y
andp
satisfying (1.12) to (1.16) andy
(T
) = 0. In 15], they have recently obtained the same result in the more general situation where = 0 in ;n;#. Again if;# = ;, A.V. Fursikov has proved in 12] the exact zero controllability in large time in dimension 3.
g) In 9] C. Fabre has obtained, in every dimension, an approximate con- trollability of two natural \cut o" Navier-Stokes equations (with the no-slip boundary condition).
As in our proof of the controllability of the 2-D Euler equations of in- compressible perfect uids 7, 8], the strategy of the proof of Theorem 1.1 relies on a method described in 5] and 6] under the name of \the return method". This was introduced in 4] for a stabilization problem. Roughly speaking it consists in looking for ("
y p
") such that (1.12) to (1.15) hold withEsaim: Cocv, May 1996, Vol. 1, pp. 35-75.
y
= "yp
= "p
,"
y
(0) = "y
(T
) = 0 in (1.25) and such that the linearized control system around ("y p
") has a controllability in a \good" sense. With such a ("y p
") one may hope that there exists (yp
) {close to ("y p
") {satisfying the required conditions, at least ify
0 andy
1 are \small". For a suitable choice of ("y p
"), we will see that this is indeed true, even ify
0 andy
1are not small. Note that the linearized control system around ("y p
") is@z @t
;z
+ ("y
r)z
+ (z
r)"y
+r= 0 in (n#)0T
] (1.26)div
z
= 0 in 0T
] (1.27)z
n
= 0 on (;n;#)0T
] (1.28)z
+ curlz
= 0 on (;n;#)0T
]:
(1.29) In 19] J.{L. Lions has proved that if "y
= 0 this linear system is approxi- matively controllable in fact he has treated the no-slip case - i.e. the case where one replaces (1.28)-(1.29) byz
= 0 on (;n;#)0T
] - but his proof can be easily adapted to the boundary conditions considered here. Unfortu- nately, if one takes "y
= 0, it is not clear how to deduce from the approximate controllability of the linear system the existence of (yp
) satisfying (1.12) to (1.17), even ify
0 andy
1 are small, for example in a sense given by aC
m-norm. For this reason, we will not use ("y p
") = (00), but a ("y p
") similar to the one that we have constructed in 8] to prove the controllability of the 2-D Euler equations of incompressible perfect uids this ("y p
") is in fact\large" so that, in some sense, \" is small compared to \("
y
r)+( r)"y
".Our paper is organized as follows: in Section 2 we prove Theorem 1.1 when ;# = and then, in Section 3, deduce the general case from this particular case.
2. Proof of Theorem 1.1 when ;# =
In this section, we assume that ;# = hence, by (1.1), # 6=.
Let us prove a slightly stronger result than Theorem 1.1 this will be useful when we will study the case ;# 6=. Let
2C
1(;R) be such thatZ
;
= 0:
(2.1)We are going to prove that Theorem 1.1 still holds if, in the statement of this theorem, one replaces (1.8), (1.9) and (1.14) respectively by
y
0n
= on ;n;# (2.2)y
1n
= on ;n;# (2.3)y
(xt
)n
(x
) =(x
) 8(xt
)2(;n;#)0T
]:
(2.4) Note that Theorem 1.1 corresponds to the case = 0 and that is given (it is not a control).Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
Of course, reducing if necessary , we may assume without loss of gen- erality that
#
(2.5)# = #
:
(2.6)Let us assume the following proposition, whose proof is given in Appendix A,Proposition 2.1. There exists a constant
C
and there exists a function"
C
: (0+1) ! (0+1)such that, for all" >
0 there exist " 2C
1( 0T
]R) and "y
"2C
1(0T
]R2) satisfying " = 0 in (n#)0T
] (2.7)@
"@n
= 0 on ;0T
] (2.8)Support
" is included inT=
4T
) (2.9) Supporty
"" is included inT=
4T
) (2.10)
@
"@
+
@
2"@
2
6
"
on ;0T
] (2.11)"
y
"=r" in (n#)0T
] (2.12)div
y
""= 0 in 0T
] (2.13) and such that the following property holds: for all (z
0z
1) inC
1(R2)2 such thatdiv
z
0 = 0 in (2.14)div
z
1 = 0 in (2.15)z
0n
= on; (2.16)z
1n
= on; (2.17)there exist
z
" =Z
"(z
0z
1) inC
1( 0T
]R2) and " = #"(z
0z
1) inC
1(0T
]R) satisfying@z
"@t
+ ("y
"r)z
"+ (z
"r)"y
"+r"= 0 in (n#)0T
] (2.18) "= 0 in 0T=
4] (2.19)z
"=z
0 in 0T=
4] (2.20)z
"(xT
) =z
1(x
)8x
2 such thatd
(x
)>"
(2.21)div
z
" = 0 in 0T
] (2.22)z
"(xt
)n
(x
) =(x
)8(xt
)2;0T
] (2.23)Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
j
z
"(T
)jL1( )6C
jz
0jL2( )+jz
1jL2( )+jcurl
z
0jL1( )+jcurlz
1jL1( ) (2.24)j
z
"jC3( 0T]R2) 6C
"("
)jz
0jC4( R2)+jz
1jC4( R2):
(2.25) Before going into the details of the proof, let us rst briey explain how we use Proposition 2.1 to construct solutions (yp
) to our controllability problem. We choose>
0 \very small". During the interval of time 0(1; )T
] we use no control: on this interval of time (yp
) is a solution of (1.12), (1.13), (1.15) (1.16), and (2.4) with # = and ;# = . During the interval of time (1;)TT
] we decompose (yp
) in the following wayy
= "y
+z
+R p
= "p
++q
wherethe map "
y
is obtained by the following scaling of "y
""
y
(xt
) = 1y
""x t
;(1;)T
and the function "
p
is dened by"
p
(xt
) =;1 2@
"@t
+ 12jr"j2
x t
;(1;)T
where "
y
" and " are dened in Proposition 2.1. Let us emphasize that ("y p
") satises (1.12), (1.13), and (1.14) moreover it satises \almost"(1.15), at least if
"
is small enough (see in particular (2.11)).the functions
z
and are obtained by scalingz
" and"in the following wayz
(xt
) =z
"x t
;(1;)T
(
xt
) = 1"x t
;(1;)T
where
z
" and " are dened in Proposition 2.1 by takingz
0=y
((1;)T
)z
1 =y
1:
(
Rq
) is a correction term dened so that (yp
) is a solution of (1.12), (1.13), (1.15), and (2.4), with (1;)TT
] instead of 0T
].Note that, by construction,
y
(T
) =z
"(xT
) +R
and
z
"(T
) is \close" toy
1 if"
is \small". So it su$ces to check thatR
is\small". We will prove that this is indeed the case if \
"
is small and is very small". Rouhgly speaking the reasons are the following. For \very small" the rst leading term of@
("y
+z
)@t
;("y
+z
) + (("y
+z
)r)("y
+z
) +r("p
+) is the term of order 1=
2, which is@ y
"@t
+ ("y
r)"y
+rp
"Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
and the second leading term is the term of order 1
=
, which is@z @t
;"y
+ ("y
r)z
+ (z
r)"y
+r:
By construction these two terms vanish. Moreover "
y
+z
satises (2.4) and, for \small", the leading term of "y
+z
, which is "y
, saties \almost" (1.15) if"
is \small". Note that, in the case where = 0 on ;, "y
saties (1.15) exactly for all"
. This is why, as mentioned above in b) of Remark 1.2, we get a better convergence in this case see also a) of Remark 2.4 below.Let us now give the details of the proof. Let
y
inC
1(0T
]R2) andp
inC
1(0T
]R) be such that@y
@t
;y
+ (y
r)y
+rp
= 0 in 0T
] (2.26)div
y
= 0 in 0T
] (2.27)y
n
= on ;0T
] (2.28)y
+ curly
= 0 on ;0T
] (2.29)y
(0) =y
0 in:
(2.30)The existence (and uniqueness up to an arbitrary function depending only on time added to
p
) can be proved by standard techniques see 18, Chapitre 1, Th!eor%eme 6.10] for the case = 0, = 0, and simply connected see also 23] for 3-D Navier-Stokes equations.Let
2 (01=
2] and letQ
= (1;)TT
]:
For" >
0 let "y
" 2C
1(Q
R2)z
" 2C
1(Q
R2)p
"" 2C
1(Q
R)" 2C
1(Q
R) be de- ned by"
y
"(xt
) = 1y
""x t
;(1;)T
(2.31)
z
"(xt
) =Z
"(y
((1;)T
)y
1)x t
;(1;)T
(2.32)
"
p
"(xt
) =;1 2@
"@t
+ 12jr"j2x t
;(1;)T
(2.33) "(
xt
) = 1#"(y
((1;)T
)y
1)x t
;(1;)T
(2.34)
for all (
xt
)2Q
. Note that, by (2.10) and (2.31),"
y
"= 0 in (1;)TT
;(3=
4)T
] (2.35)and, by (2.20) and (2.32),
z
"(xt
) =y
(x
(1;)T
) 8(xt
)2(1;)TT
;(3=
4)T
]:
(2.36) Similarly, by (2.9) and (2.33),"
p
"= 0 in (1;)TT
;(3=
4)T
] (2.37)and, by (2.19) and (2.34),
"= 0 in (1;)TT
;(3=
4)T
]:
(2.38)Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
Let
F
" : 0T
]!R be dened byF
"= 0 in 0(1;)T
) (2.39)F
" =@
@t
("y
"+z
");"y
"+ ("y
"r)z
"+ (z
"r)"y
"+ ("
y
"r)"y
"+rp
""+r" inQ
:
(2.40) Then {see in particular (2.35) to (2.40) {F
" 2C
1(0T
]R2):
Fora
= (a
1a
2) 2 R2 leta
? = (;a
2a
1). By standard techniques {see also (2.35) {, one shows the existence ofy
" inC
1(0T
]R2) andp
" inC
1(0T
]R) such that@y
"@t
;y
"+ (y
"r)y
"+rp
"= 0 in 0(1;)T
] (2.41)@y
"@t
;y
"+ (y
"r)y
"+rp
"=F
"+ (curl "
y
")(y
";y
"";z
")? in (1;)TT
] (2.42)div
y
"= 0 in 0T
] (2.43)y
"n
= on ;0T
] (2.44)y
" + curly
" = 0 on ;0T
] (2.45)y
"(0) =y
0 in:
(2.46)For simplicity, let us write
y p z y
"p F Q
" instead ofy
"p
"z
" ""
y
"p
""F
"Q
:
From (2.7), (2.12), (2.6), (2.31), and (2.33), we have@ y
"@t
;"y
+ "y
ry
"+rp
"= 0 in (n#)(1;)TT
] (2.47) curl "y
= 0 in (n#)(1;)TT
]:
(2.48) From (2.18), (2.31), (2.32), and (2.34), we get@z @t
+ ("y
r)z
+ (z
r)"y
+r= 0 in (n#)(1;)TT
] which, with (2.40) and (2.47), implies thatF
= 0 in (n#)(1;)TT
]:
(2.49) From (2.41), (2.42), (2.48), and (2.49), we obtain (1.12). From (2.43) to (2.46), we obtain (1.13), (1.15), (1.16), and (2.4). So, in order to nish the proof, it remains only to check that, given a compactK
, given>
0 and>
0, we have, for a suitable choice of"
and ,Z
d
jy
(T
);y
1j<
(2.50)j
y
(T
);y
1jW;11( )<
(2.51)jcurl
y
(T
);curly
1jL1(K)< :
(2.52)Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
Let us rst point out that, by (2.26) to (2.30), (2.41), and (2.43) to (2.46), we have
y
=y
on 0(1;)T
]:
(2.53) LetR
2C
1(Q
R2) andq
2C
1(Q
R) be dened byR
=y
;y
";z
(2.54)q
=p
;p
";:
(2.55)By (2.40), (2.42), (2.54), and (2.55), we have
@R @t
;R
+ ((R
+ "y
+z
)r)R
+ (R
r)("y
+z
);
z
+ (z
r)z
;(curl "y
)R
?+rq
= 0 inQ:
(2.56) From (2.13), (2.22), (2.31), (2.32), (2.43), and (2.54), we getdiv
R
= 0 inQ:
(2.57)From (2.8), (2.12), (2.23), (2.31), (2.32), (2.44), and (2.54), we obtain, with
I
= (1;)TT
],R
n
= 0 on ;I:
(2.58)From (2.7), (2.12), (2.5), (2.31), (2.32), (2.45), and (2.54), we get, with
!
= curlR
R
+!
=;y
";z
;curlz
on ;I:
(2.59) From (2.10), (2.31), and (2.54), we getR
=y
;z
on fT
g:
(2.60)We x a compact
K
and two real numbers>
0 and>
0. By (2.21), (2.24), and (2.32), there exists"
0>
0 such that, for any"
2(0"
0] and for any 2(01=
2],Z
d
jz
(T
);y
1j< =
2j
z
(T
);y
1jW;11( )< =
2 curlz
(T
) = curly
1 onK:
Hence, by (2.60), in order to get (2.50), (2.51), and (2.52), it su$ces to check that, for suitable choices of
"
2(0"
0] and of2(01=
2],Z
d
jR
(T
)j< =
2 (2.61)j
R
(T
)jW;11( )< =
2 (2.62)j
!
(T
)jL1(K)< :
(2.63) From (2.10), (2.20), (2.31), (2.32), (2.53), and (2.54), we haveR
= 0 on f(1;)T
g:
(2.64)Let us denote by
C
j("
)j
>1various positive constants which may depend onTy
0y
1:::
# and"
, but are independent of in (01=
2] and ofs
inI
. Furthermore let us denote byC
jj
>1various positive constants whichEsaim: Cocv, May 1996, Vol. 1, pp. 35-75.
may depend on
Ty
0y
1:::
, but are independent of in (01=
2]ofs
inI
, and of"
in (01]:
For example, from (2.11), (2.12), (2.25), (2.31), (2.32), and (2.59), we get the existence ofC
1>
0 andC
1("
)>
0 such that, for all"
2(01] and for all 2(0C
1("
);1],j
!
jL1(;(1;)Ts]6C
1"
+jR
jL1( (1;)Ts] 8s
2I:
(2.65) Taking the curl of (2.56), we get, using (2.13), (2.22), (2.31), (2.32), and (2.57),@! @t
;!
+ ((R
+ "y
+z
)r)!
+ (R
r)curlz
;(curl
z
) + (z
r)(curlz
) = 0 inQ:
(2.66) Fors
2I
letI
0= (1;)Ts
]Q
0=I
0:
In order to obtain a pointwise estimate on
!
one uses the following lemma, whose proof is given in Appendix B,Lemma 2.2. Let
f
2C
1(0+1)0+1)) be such thatf
(s
) =s
8s
201] (2.67)06
f
061 in 0+1) (2.68)f
= 32 in 2+1):
(2.69)Let
2(01) and 2(01) be such that + = 1:
(2.70)Then there exists a positive real number
C
such that, for anyt
2(0C
;1] for any2C
1(0t
]R)for anyX
2C
1(0t
]R2)and for anyY
2C
1(0t
]R2) such that@ @t
;+ ((X
+Y
)r)60 in 0t
] (2.71) (0)60 in (2.72) 61 on ;0t
] (2.73)
@Y @n
6
C
;1t
;1 on;0t
] (2.74)Y
n
= 0 on ;0t
] (2.75)we have, for all
x
in and allt
in (0t
], (xt
)6(expCt
jX
j2L1( 0t]))(expCt
32jr2Y
jL1( 0t]))exp; 1
(
Ct
)f d
(Ct
2):
(2.76)Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
In (2.76) as well as in the remaining part of this paper
jr
2
Y
jL1( 0t])=
@
2Y
@x
21
L1( 0t])
+
@
2Y
@x
1@x
2
L1( 0t])+
@
2Y
@x
22
L1( 0t])
:
We take2(0C
1("
);1] and we apply this lemma withX
(xt
) = (R
+z
)(xt
+ (1;)T
) (2.77)Y
(xt
) = "y
(xt
+ (1;)T
) (2.78) (xt
) = 1C
1;" +jR
jL1(Q0)!
(xt
+ (1;)T
);
t
jR
jL1(Q0)jrcurlz
jL1(Q0);t
j;curlz
+ (z
r)curlz
jL1(Q0) (2.79) = 14 (2.80) = 34 (2.81)t
=s
;(1;)T
(6T
):
(2.82) Using (2.66), and (2.77) to (2.79), we get (2.71). From (2.64) and (2.79), we get (2.72). From (2.65) and (2.79), we get (2.73). Note that, by (2.7), (2.11), (2.12), (2.31), and (2.78), (2.74) holds if, for someC
2>
0," < C
2;1 and for someC
2("
)>
0, 2 (0C
2("
);1]. From (2.8), (2.12), (2.31), and (2.78), we get (2.75). Moreover, by (2.31), (2.78), (2.81), and (2.82), we have, for someC
3("
)>
0,t
3 =2jr2Y
jL1( 0t])61 8t
20t
] 82(0C
3("
);1]:
(2.83) We choose a functionf
2C
1(0+1)0+1)) satisfying (2.67) to (2.69) and apply Lemma 2.2 together with (2.25), (2.32), (2.77), and (2.83) we get the existence ofC
4>
0 andC
4("
)>
0 such that, if"
2 (0C
4;1], if 2(0C
4("
);1], and if jR
j2L1(Q0)61 (2.84) then, for all (xt
) in (1;)Ts
]j
!
(xt
)j6C
4("
)(jR
jL1(Q0)+) +C
4"
+jR
jL1(Q0)exp ; 1(
C
4)f d
2(x
) (C
4)
:
(2.85) In order to deduce estimates onR
from (2.85), we use the following lemma, whose proof is given in Appendix C,Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.
Lemma 2.3. Let
f
2C
(0+1)0+1)) be such thatf
(s
) =s
8s
201] (2.86)16
f
(s
)6s
8s
21+1):
(2.87) Let 2 (01] and let 2 01) be such that (2.70) holds. Then there exists a positive real numberC
such that, for anyA
in 1+1), for anyB
in 0+1), for anyB
in 0+1), and for any inC
1(R) such that 2L
1() and satisfyingj
j6B
+B
exp(;A
f
(A d
2)) in (2.88) = 0 on ; (2.89)one has
jr
j6C B
+B
p
A
in
(2.90)j
d
rjL1( )6C B
+B
A
8 2(01] (2.91)
j
j6C B
+B
A
in
:
(2.92)Let us rst nish the proof of Theorem 1.1 when is simply connected (with ;# = , and with (2.2), (2.3), and (2.4) instead of (1.8), (1.9), and (1.14) ). Then one can write
R
=r?'
:= (r'
)? (2.93)where
'
2C
1(R) satises'
=!
in (2.94)'
= 0 on ;:
(2.95)Then, it follows from (2.85) and Lemma 2.3 {see (2.90) {that there exist
C
5>
0 andC
5("
)> C
4("
) such that, if"
2(0C
5;1), if2(0C
5("
);1], and if (2.84) holds,j
R
jL1(Q0)6C
5"
p
:
Hence, if"
2(0C
5;1=
2] and if 2(0C
5("
);1], then(2.84)) p
jR
jL1(Q0)6C
5"
6 12
:
(2.96)Note that, by (2.64), (2.84) holds if
s
is close enough to (1;)T
. Hence, by (2.96), (2.84) holds for alls
2I
if"
2 (0C
5;1=
2] and 2 (0C
5("
);1] therefore, by (2.96),j
R
jL1(Q)6C
5"
p
8"
2(0C
5;1=
2] 82(0C
5("
);1]:
(2.97) Using (2.85), (2.97), and Lemma 2.3 {more precisely (2.91) and (2.92) {, we have shown the existence ofC
6>
0 andC
6("
)> C
5("
) such that, for any"
in (0C
6;1], any in (0C
6("
);1]and any in (01],j
!
j6C
6"
inK
(1;)TT
]Esaim: Cocv, May 1996, Vol. 1, pp. 35-75.