Nonlinear
Analysis.
Theory,
&Applications, Vol. 30. No. 1, pp. 11 l-122.1997 Pm. 2nd World Con ~CII o Nonlinar Analysts
Methods
Q1997Ltier Science Lrd Rinccd in Crest Britsin. All rights reserved 0362-546X/97517.00+0.00
PII: SO362-546X(97)00004-7
EXACT CONTROLLABILITY FOR SECOND-ORDER HYPERBOLIC EQUATIONS WITH VARIABLE COEFFICIENT-PRINCIPAL PART AND FIRST-ORDER TERMS I. LASIECKA, IApplied 1. INTRODUCTION.
DUAL
R. TRIGGIANI,
Mathematics,
University
PROBLEMS:
CONTINUOUS
AND P. F. YAOt
of Virginia,
Charlottesville,
OBSERVABILITY
VA 22901 INEQUALITIES.
Standing assumptions. (H.l): Let 0 c Rm be a bounded, open domain of class C2. Let l?c and Fr be open subsets of P with I’ = l?c U l?l. Let
LITERATURE
with boundary
I’ = 80
111 Jtw= i,jcl c z8% dij(S)g j ) x= [Xl,...,XJ ( 1 be a second-order uniform ellipticity
differential condition:
operator,
2
with
real
1 a2
%j(X)tEj
i,j=l
for some positive
constant i$l.ij(x)fi
aij
=
aji
of class C4, satisfying
El,
(1.2a)
v x E Rn,
that E = (G752,. .
.,6)’
(H.2): Let F~(uI) be a linear, first-order differential operator w with L,(Q)-coefficients, thus satisfying the following pointwise CT > 0 such that I&(w)12 < cT[w; + IhI + w2], \d
E Rn,
E #
(1.2b)
0.
in all variables {t, xi,. . . ,z,} on estimate: there exists a constant t,x
E Q,
(1.3)
where Q = (O,T] x R and w(t,x) E C’(Q). Let (O,T] x I’i = Ci, i = 0,l; (O,T] x l? = C. Dirichlet control. We consider the Dirichlet mixed second-order hyperbolic problem unknown w(t, x) and its dual homogeneous problem in $(t, z):
Acknowledgement: Grand DAAH04-96-1-0059, was partially supported
I. Lake&a’s
the
i=l
a > 0. Assume further > 0,
coefficients
(1.1)
and Ft. Triggiani’s
and by the National by the National Science
research
was partially
Science Foundation under Foundation of China.
111
supported Grant
by Army
DMS-9504822.
Research
in the
Office under
F. F. Yao’s
research
112
Second World
wtt + dw = FI(w) ~(0,
. ) = WO, wt(0,
in
.) = WI
Congress
(1.4a) in Q;
+ti + d$ = PC@,)
in 0;
$(T,
* ) = $0, $0,
(1.4b) . ) = $1
in 0;
(1.4c)
in C,
Illlc = 0
in Cl;
= u
Analysts
Q;
in CO; wlc,
of Nonlinear
(1.4d)
with control function u E Lz(O,T; &(I’r)) E Ls(C r ) in the Dirichlet B.C., where F(q) able first-order differential operator, depending on the original operator 4, and satisfying pointwise bound as (1.3).
is a suitthe same
Continuous observability inequality in the Dirichlet case. As our first goal, we seek to establish-under a suitable additional assumption-the following a-priori inequality for the homogeneous Dirichlet $-problem (1.4): there exists a constant TO > 0, depending upon the triple ($2, rs, I’r}, such that for all T > TO, there is a constant CT > 0 for which (1.5) [one obtains cT = c(T - TO)]. In (1.5), & = C&i oij g pi is the co-normal derivative, where u= [VI,..., vn] is the unit outward normal on I. Eqn. (1.5) ii the continuous observability inequality for the $-problem (1.4) [D-R.11. As is well-known, e.g., [La.l], [L-T.l], [Tr.l] inequality (1.5) for the +-problem (1.4) is, by duality or transposition, equivalent to the exact controllability property of the non-homogeneous w-problem (1.4) at time T, on the space &(R) x H-‘(n), within the class of &(O,T; Ls(I’i))-controls; in other words, to the property that the map LT: {u, 200 = 0, wl = 0) + LTt‘ = {w(T, { is surjective with
{w(T,
. ), wt(T,
Remark 1.2 smooth coeficients
. )} solution
from Lz(O,T;
L2(l?l))
of the w-problem
. ), wt(T,
. )}
(1-6)
onto L2(!2) x H-l(R),
(1.4) at t = T.
The converse of inequality (1.5) is always true, for any T > 0 and for suficiently aq, possibly depending on t as well, and sufficiently smooth I?, see [L-L-T]. 0
Neumann control. Here we let I’s # 8, l?s nl?r = 8, and consider the Neumann mixed secondorder hyperbolic problem in the unknown w(t, z) and is dual homogeneous version in $(t, z):
wtt + dw = FI(w); w(0, *) = wo, wt(0,
ht + & .) = w1;
$(T, I
- ) = $0, tW’,
4+3:0= 0
in Q;
= F(+,) . ) = $1
in Q in CO
(1.7a) (1.7b) (1.7c)
with control function u E Lz(O,T; Lz(I’l)) E L2(C 1) in the Neumann B.C. where F is a suitable first-order differential operator depending on 4, and satisfying a pointwise estimate such as (1.3) for FI and /3 is a suitable function, also depending on 4.
Second World Congress of Nonlinear Analysts
113
Continuous observability inequality in the Neumann case. As our second goal, we seek to establish-under a suitable additional assumption-the following o-priori inequality for the homogeneous Neumann $-problem (1.7): there exists a constant 2’0 > 0, depending upon the triple (0, rs, Ii}, such that for all T > TO, there is a constant or > 0 for which
where H&(n) = {f E H’(Q) : fir,, = 0}, w h enever the left-hand side is finite. This is the continuous observability inequality for the $-problem (1.7). Again, by duality or transposition, inequality (1.8) is equivalent (see e.g., [La.l], [L-T.l], [L-T.41) to the exact controllability property of the non-homogeneous w-problem (1.7) at time T, on the space H&(n) x &(R), within the class of Lz(O, T; &(I’r))-controls; in other words, to the property that the map LT: (u,wo i with
{w(T,
. ), wt(T,
= 0, to1 = 0) + Lpi
is surjective . )} solution
from Lz(O,T;
E {w(T, Lz(I’,))
. ),wt(T,
. )}
H&(R)
x
onto
of the w-problem (1.7) at t = T. (1.8) is false for dimfl
Remark 1.3 The converse of inequality [L-T.+
(1.9)
Lz(Ci),
2 2, and is true for dimR
= 1
0
Literature. observability
In short, various techniques have been used to establish the validity inequalities such as (1.5) and (1.8), notably:
(i) differential
multipliers
(ii) pseudo-differential
[H.l],
[K], [L.l],
multipliers,
[L-T.l],
micro-local
[T.l],
of the continuous
etc.;
analysis, and propagation
of singularities
[B-L-R];
(iii)
general pseudo-differential multipliers derived from pseudo-convex Carleman estimates for general evolution equations, including-but order hyperbolic equations [Ta];
(iv)
(related to (iii)) specific differential multipliers constructed from pseudo-convex functions and yielding Carleman estimates for second-order hyperbolic equations [L-T.41, [I], [F-I], along with sharp trace estimates via micro-local analysis [L-T.21;
(v) differential There are servability geometric sharpness,
geometry
methods
combined
with differential
multipliers
functions and related to not limited to-second-
Ty].
various issues that intervene in describing the degree of generality of the continuous obinequalities such as (1.5) and (1.8), once established by a given method. These are both as well as analytical factors, and their combination defines the range of applicability and against which a given method may be measured. These issues include:
(1) The ability
to treat variable
(2) The ability
to include
coefficients
first-order
oij of the principal
part A in (1.1).
energy level terms such as F in (1.3).
(3) Sharp geometrical conditions on the triple {fl,I’o,I’i}; in particular, the ability to determine a sort of ‘minimal’ active (controlled) portion I’1 of the boundary, and a corresponding ‘good estimate’ of the exact controllability time TO. In short, a sharp estimate of l?r x [0, TO]. In the case where ri = l?, so that the control u is active on the entire boundary I’ and A = -A, one should recover the optimal time TO = 2R, R being the radius of the smallest ball in Rn containing fl2; see [K], and Huyghen’s principle for n = odd = 3,5,. . .. This is related to the issue of obtaining sharp trace estimates.
114
Second World Congress of Nonlinear Analysts
(4) Smoothness of the analytical of the boundary l?.
data, particularly
of the coefficients
oij of the principal
part; and
In addition, ease in verifying the various (sufficient) conditions in application to specific classes of examples is also an issued of great importance. In all this context, at present, no method appears to stand out inequivocably exempt from potential drawbacks or limitions. As to (i). The original differential multipliers for $-problems (1.4) and (1.7)-i.e., h . Vll, and 11,div h, where h(z) is a coercive vector field-have been successful in proving the continuous observability inequalities (1.5) and (1.8) in the case where A = -A (or in the case of constant coefficients oij of the principal part) [H.l], [L.l], [L-T.11, [T.l], h owever, these original differential multipliers tolerate additional terms only below the energy level; i.e., a zero-order operator F is fine, but a truly first-order operator F causes the method to fail. As to (ii). The micro-local/propagation of singularities approach used in [BLR] is very general; however, it is not an easy matter to verify in applications and examples the (sharp) sufficient condition that all rays of geometric optics hit the effective controlled part Cr = (O,T] x l?r of the lateral boundary C of the cylinder Q at a non-diffractive point. Moreover, the method uses Coo data and I’, at least at present. Extension to other models seems a serious issue. As to (iii). The techniques with pseudodifferential Carleman multipliers proposed in [Ta] are unifying across general evolution equations. However, they require the existence of a pseudo-convex function, a property which, essentially can be verified mostly if not exclusively in the case of constant cofficients oij of the principal part d. Moreover, at least in [Ta], the control is taken to be active on the entire boundary l?. As to (iv). In the specific concrete analysis of differential Carleman multipliers tuned to secondorder hyperbolic equations, as in (L-T.41, [I], [F-I], the drawback of the existence of a pseudo-convex function remains, of course, while now a more detailed analysis-this time at the differential rather than pseudo-differential level-allow the control to act on a suitable part of the boundary. These differential Carleman multipliers-see below in (4.2), (4.3) -can be viewed as a non-trivial generalization of the original differential multipliers h . V$, 1c,div h in (i), over which they possess an added flexibility via the parameter 7 below, which allows to handle also those first-order terms F as in (1.3), that original multipliers could not deal with. As to (v). Even more recently, Riemann geometric tools and analysis have been brought to bear in proving the continuous observability inequalities such as (1.5) and (1.8) [Yl. This method has the virtue to allow variable coefficients aij(z) of the principal part A, subject to certain verifiable assumptions. However, in its present form p], this approach also cannot handle genuine first-order, energy level terms F. The reason will be explained below in Section 4. Contribution of the present paper. In this paper we wish to announce and sketch, within the allowed space, a successful combination of three key ingredients which allow to establish the validity of the continuous observability inequalities (1.5) and (1.8) in the case of (a) variable coefficients oij(z) of the principal part d, subject to verifiable conditions, and (b) genuine first-order, energy level terms F. These three ingredients are: (1) the Riemann
geometric
approach
of [Y];
(2) the Carleman differential multipliers used in [L-T.41, which now replace the original multipliers of [Y], though in the Riemann metric; (3) the pseudo-differential approach in [L-T.21 which led to an &-estimate tive (gradient) of the solution w in terms of La-boundary estimates lower-order terms; see Theorem 4.1 below.
differential
of the tangential of wt and e,
derivamodulo
Second World Congress of Nonlinear Analysts Ingredient (2) permits to add Ingredient (3), moreover, permits in M. The present approach provides inequalities (1.5) and (1.8), as is 2. RIEMANNIAN
Recalling
the optimal time T for the validity of the continuous the case with pseudo-convex functions. GENERATED
and G(z)
A(Z) = (aij(Z)); Both are n x n matrices.
a born&de first-order operator Fr, as in (1.3), to the results of [Y]. to eliminate geometrical conditions present in the Neumann case
METRIC
a~ = oji, let A(z)
BY THE
b e, respectively,
G(Z) = [A(Z)]-1
A(s)
115
is positive
PRINCIPAL
the coefficient
A
matrix
and its inverse
i, j = 1,. . . , n; z E Rn
= gij(x)),
definite
PART
observability
(1.1)
by (1.2b).
Riemannian metric. Let Rn have the usual topology and 2 = (~1, 22, . . . , zn)r be the natural coordinate system. For each x E R”, define the inner product and the norm on the tangent space R; = R” by S(X,y)
1x1, = (X,X)i’2,
9.
= (X,Vg
=
VX = 2
2 ij=l
~yid
j=l
Y = 2
8%’
JXJO=(X.X)~‘~,
the Euclidean
manifold
VX=kai&,
i=l
(1.3)
with the Riemannian
Y=~fi~$y~R~, i=l
metric on R”. For z E R”, and with
E RE.
pi &
i=l
It is easily checked from (1.2b) that (Rn,g) is a Riemannian We shall denote 9 = C&i gijdxidxj. Euclidean metric. For each x E Rn, denote by X’Y=kcUiP,y
(1.2)
gij(X)dj7
I
i=l
2
metric
(1.4)
reference to (2.1), set
(1.5) Let X = CF=r (Y~(Z)& be a vector field on Rn. Denote metric by dive(X). Then ’
the divergence
of X in the Euclidean
(1.6) Further
relationships. If f E C’($?), denote by
Vof
and V,f,
(1.7)
the gradients off in the Euclidean metric and in the Riemannian metric g, respectively. The following lemma provides further relationships. Lemma 2.1 Let 2 = (x1, x2,. . . , x,)~ be the natural coordinate system in Rfl. Let f, h E C1(fi). Finally, let H, X be vector fields. Then with reference to the above notation, we have (1) (H(x),
A(z)X(z)),
= H(z)
. X(z),
2 E Rn;
(1.8)
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Second World Congress of Nodnear Analysts
(l-9) (3) (V,f, V&j,
=
V,f (h) = Vof
. A(+‘&,
z E Rn;
(1.10)
(4) W,f, V,(Wf )Ng = DH(V,f? V,f) + f d~~o(lV,f I$b) - flvgf I@, ~~vo(~i)(~), 2 E R”, where DH
is the covariant
diflerential
A=-g&
Covariant
discussed below;
(gaijb)$
differential.
(1.11)
Denote
=-divo(Vpj,
the Levi-Civita
connection
(1.12)
WEC~(W.
in the Riemannian
metric
g by D.
Let H=kh&;
(1.13) k
k=l
be vector fields on (Rn, g). The covariant for each x E Rn, defined by DH(X, where DxH is the covariant notation of (2.13), DxHe
=
differential
DH of H determines
Y) = (DxH,Y),,
derivative
of H with
V X,Y respect to X.
a bilinear
E R;,
form
on
R,” xRz, (1.14)
This is computed
as follows, in the
n
cDx k=l
=
kx(hk)
&
k=l
-I.2
M$alazi
(&)
7
(1.15)
k,i=l
where by definition, X(hk)
= X . Vohk = 2
& 2,
Daiazi
(&)
= g
r6
jj$?
(1.16)
i=l
I’g being the connection
coefficients (1.17)
Inserting DxH
(2.17) into (2.16), and then (2.16) into (2.15) yields = 5 k=l
X(hk)
&
+
(1.18)
Second World
Finally,
inserting
Congress
of Nonlinear
(2.18) into (2.14), we obtain
via (2.2),
DH(X,
= g e,j=l
X)
=
(DxH,X)g
117
Analysts
(1.20)
Thus, in Rg x Rg, DH(
. , . ) is equivalent
to the n x n matrix (1.21)
Hessian in the Riemannian respect to the metric g is
metric
g. Let f E C2(Rn).
By definition,
the Hessian off
with
(1.22)
by
(2.2),
(2.9),
(2.18),
where
!=
ft=eabg,
1,2 ,...,
n.
(1.23)
P
p=l
Thus, by (2.22), we have that D2f is positive the n i,j
on R!j
x
Rt if and only if
mij = CF=l ( = 1 , . . . , n is positive. x
n matrix
3. MAIN
$
SCj
+ CE,&l
hkScjrfk)
j
(1.24)
RESULTS
Let the domain Sl and the elliptic operator A be given satisfying the standing assumption (H.l). The additional hypothesis which we shall need to establish the continuous observability inequalities (1.5) and (1.8) is the following Main assumption (H.3): We assume that there exists a function v : Q + R of class C2 which is strictly convex on a, with respect to the Riemannian metric g defined in Section 2: this means that the Hessian of v in the Riemannian metric g is positive on fi, as defined by (2.24):
D2v(X, X)(z) > 0, Since fi is compact,
it follows from (3.la)
D2v(X,X)
Vz~i=i,
XER;.
that there exists a positive
1 plX&
V z E a, X E R;.
(l.la)
•I constant
p > 0 such that (l.lb)
118
Second World
Congress
of Nonlinear
Analysts
Under assumption (H.3), we take the vector field (1.2) defined as the gradient of w(z) with respect to the Riemannian metric g, see (2.9). Section 5 below will illustrate some situations where (the standing assumption (H.l) as well as) the main assumption (H.3) are guaranteed to hold true. Continuous observability inequalities. We are now in the position to state our main results concerning the validity of the continuous observability inequalities (1.6) and (1.11). First, define p as in (3.lb).
(1.3)
Theorem 3.1 (Dirichlet case) Let SI, d, and F satisfy the standing assumptions(H.l), (H.2). Let assumption (H.3) hold true and define h(x) by (3.2). Let T > TO, see (3.3). Assume that h(x) . V(X) 5 0 for x E TO, where we recall that V(X) = [VI(X), . . . , vn(x)] is the unit outward normal vector to r, and where h(x). u(x) = CE1 hi(x)ui(x) is the dot product in Rn. Then, inequality (1.5) 0 for the Dirichlet +-problem (1.4) holds true. Theorem 3.2 (Neumann case)Let 0, A, and F satisfy the standing assumption (H.l), (H.2). Let assumption(H.3) hold true and define h(x) by (3.2). Let I?0 and rr be given, I? = I’s u I’l, F. n i?r = 0, and h(x) . V(X) 5 0 for x E To. Let T > To, see (3.3). Then, inequality (1.8) for the 0 Neumann $-problem (1.10) holds true. Remark 3.1 Both Theorems3.1 and 3.2 require a uniquenesscontinuation result for the hyperbolic problem (l.da-b-c), respectively (1.7a-b-d), with over-determinedB.C.: z[xl
Th eorem
~Ofor
3.1; $1~ E 0 for Theorem
3.2.
(1.4)
This, in turn, can be reduced[B-L-R] to a correspondingsecond-orderover-determined elliptic problem to which we apply IHor.1, Theorem 17.26, p. 141. 0 Carleman estimates. The results of Theorems3.1 and 3.2 can be shown as a consequenceof
suitable Carleman estimatesfor Eqn. (1.4a) [with no boundary conditions imposed], which we now describe. Let v : 0 + R be the strictly convex function, with respect to the Riemannianmetric g, provided by the main assumption (H.3). Define the function 4 : fl x R + R by q5(x,t) SW(~)
-clt-
:I’,
0
p, pas in (3.3),
where T > To, see(3.3) and c are chosenso that CT > To. Theorem 3.3 (Carleman estimates)Assume (H.l), (H.2), and (H.3). a solution of the second-orderhyperbolic equation wtt+dw=Fr(w)+f [with no boundary conditions], within
I
w E HI?‘(Q)
the following = L2(0,T;
‘I ‘Wtr-& ELz(O,T;
Lzu-1).
in&
Let f E Ls(Q).
(1.5)
Let w be
(l-6)
class: H’(0))
n H’(O,T;
Lz(0))
(1.7a) (1.7b)
Second World
Congress
of Nonlinear
119
Analysts
Let 4(x, t) be the function defined by (3.5). Then for r > 0 suficiently large, the following one-parameterfamily of estimates (i) With $(x,0)
< -6 < 0, 4(x,T)
< -6 < 0 uniformly
(Wlc + $ Le”+‘f’dQ + TCT 2 (ii)
p-c-cr
IVsw12+ wz] dQ - CIT~-‘~[E(T)
7
where the boundary
terms (BT)lc
I-
4. CONCEPTUAL
SKETCH
W3)
t1
>J eT
const,llwI12C([O;~;Lz(n))
to
E(t)dt
- ClTe-“[E(T)
(1.9)
+ E(O)],
over C = [O,T] x I’ are given by
+A
with ~(x, t) a suitablefunction
+ E(O)],
x E a:
W)Ic + F s, @f2dQ + TCT p-c-CT
in x E R:
const,llwl12C([O;~;Lz(n))
With 4(x, t) > 1 for t E [to, tl] c (O,T),
2
holds true.
depending
on 4.
OF THE PROOF
2Jx
er$[wi - IV,w12]h . v dC,
(1.10)
cl
OF THEOREM
3.3 (CARLEMAN
ESTIMATES)
The idea of the proof of Theorem 3.3 is as follows: Step 1. By usingthe Riemanngeometricanalysisin M, Eqn. (3.7) on (0, T] x n = Q is converted into the equation on M wtt-Aw=h(w)+fl (1.1) on a Riemann manifold M, where A in (4.1) is the Laplacian, pr is a first-order differential operator. Step 2. To Eqn. (4.1) we apply the counterpart, in the Riemann matric g, of the Carleman estimatesapproach of [L-T.41 in the caseof Euclidean metric [i.e., with A in (1.4a) replaced by -A]: i.e., we usethe main multipliers x) - 4(x, t)wt(t, x)1,
(l-2)
t) - -$ (eT+4t))] ; w e7+,
(1.3)
eTd(“*t)[Vg4(x, t) . V&t, as well as the additional multipliers w [div (e’+V&(x,
where 4(x, t) is the function defined in (3.5). Step 3. We absorb tangential gradient e of w by using the following result from [L-T.21. Theorem 4.1 Let w be a solution of Eqn. (3.6), in the class (3.7).
Second World
120 (i)
Given
6 > 0 and
Congress
of Nonlinear
Analysts
small and given T > 0, there exists a constant
co > 0 arbitratily
C&,,~
> 0
such that
(ii)
If, moreover, w satisfies the boundary byrl. 0 4. ILLUSTRATIONS
Example
5.1
WHERE
condition
w(r,
ASSUMPTIONS
(H.1)
Let Sz C FL2 be a bounded domain.
XY3 -- a ay ( i+22+y6
E 0, then (4,4) holds true with !C’replaced
AND
(H.3)
ON A HOLD
TRUE
Assume that A is defined by
au -- a i+x2 au ZG1 ay ( 1+~2+~6 &i > .
(1-l)
Set
Then G(x, y) = (gij) = A-‘(qy) Consider the Riemannian manifold natural coordinate system (x, y) by g= Consider
(R2,g),
=
‘-:;;
-xy3 1 +y6
where the Riemannian
.
(1.3)
metric
g is defined in the
(1+~2)dzdz-zy3d~dy-zy3dydz+(1+y6)dydy.
the surface in R3 given by M=
{
(x,y,t)(z=;x2-~y4
>
)
= (x,y), for any (z,y,z) E M, with the induced Riemannian metric gM. Then the map @(z,y,z) determines an isometry from M to (R2,g). We obtain the Gaussian curvature of (R2,g) at (x, y), J&Y)
Since by (5.6) the Gaussian
=
the Gaussian
=
-3y2 (1 + x2 + y6J2 5 0,
curvature
curvature
is non-positive,
of M at (x, y, z) V (x,Y) E R2. then the function
x0 fixed
E R2,
defined by (1.7)
Second World Congress of Nonhex
Analysts
121
i.e., as the square of the distance d,(x, xe), in the Riemann metric of (2.3), from x to a given ftxed Thus, assumptions (H.l) and (H.3) hold true in this xo E R2, is in fact strictly convex on (R”,g). case. Example 5.2 Let fl C R* be a bounded domain and ai > 0 constants, i = 1,2,. . . , n. Consider the operator on Rn,
Set
-01022122
1 + Cyz”=2a:xf A(x)
=
1 1 + CE1 a:xi
1+&L2afx;
-a2anxlxn
.. .
.. .
-a,alx+l Then
G(x) = A-l(x)
a2anx1xn
=
. ..
-~1%$1%
...
-a2a,x2xn
.. .
..*
. . - 1 + Crzl
--ana2xnx2
1+ a:xf
.**
ala22122
. .*
Q%XlGl
1 + a$x$
...
020,x2x,
.. .
.. .
afxf
I*
(1.10)
.. .
1+a2x2n n Imetric g is determined Consider the Riemannian manifold (R”,g), where the Riemannian natural coordinate system x = (x1, x2,. . . , xCn) by i analxnxl
(14
...
ana2xnx2
in the
(1.11) Then 2 i,j=l
(6,
+ aiajxixj)Mj
>-
ltli
7
V x,<
=
(J1,E2
7. . .,&J
E Rn.
(1.12)
Riemannian It is easly checked from the above inequality that (R”,g) as . a complete non-compact manifold. Let al, a2,. . . , a, be positve number and let M be the hypersurface of Rn+’ defined by Xn,
Xn+l)I
%+l
=
f
$ 2=1
&Xf
3
with the induced Riemannian metric in R n+l. Then, by [Y, Lemma 3.11, M is of everywhere sectional curvature. It is easily verified from (5.11) that the map Cp : M --t (Rn,g), defined @(PI = $9
V~=h,x2,...,~n+1)
(1.13) positive
EM,
is an isometry between M and (Rn,g). Thus, (Rn,g) is of everywhere positive sectional curvature. Since (Rn,g) is a non-compact, complete Riemannian manifold of everywhere positive sectional curvature, then there exists a Coo strictly convex function v(x) on (R”,g) by [G-W]. Assumptions (H.l) and (H.3) are verified.
122
Second World Congress of Nonlinear Analysts
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