• Keine Ergebnisse gefunden

Asymptotic behaviour of solutions of semilinear hyperbolic systems in arbitrary domains

N/A
N/A
Protected

Academic year: 2022

Aktie "Asymptotic behaviour of solutions of semilinear hyperbolic systems in arbitrary domains"

Copied!
23
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Asymptotic behaviour of solutions of semilinear hyperbolic systems in arbitrary domains

F.Jochmann

Institut fur angewandte Mathematik, Humboldt Universitat Berlin Unter den Linden 6 10099 Berlin Abstract:

In this paper the long time asymptotic behavior of solutions of semilinear symmetric hyperbolic system including Maxwell's equations and the scalar wave-equation in an ar- bitraty domain are investigated. The possibly nonlinear damping term may vanish on a certain subset of the domain. It is shown that the solution decays weakly to zero if and only if the initial-state is orthogonal to all stationary states. In the case that the nonlinear damping is in addition montone, also strong local Lq-convergence is shown.

AMS:

35B40, 35Q60, 35L05, 35L40, 78A35.

1 Introduction

The subject of this paper the long time asymptotic behavior of solutions of semilinear hyperbolic systems of the form

@t

E

=E(1)

"

3

X

k=1Hk@k

F

!;

S

(tx

E

)

#

(1.1)

@t

F

=E(2) X3

k=1Hk@k

E

(1.2)

with the initial-condition

E

(0x) =

E

0(x)

F

(0x) =

F

0(x): (1.3)

Here

E

2C(01)L2(IRM)) and

F

2C(01)L2(IRN)) are the unknown functions depending on the timet0 and the space-variablex 2. IR3is an arbitrary domain.

Hk 2IRNM are constant matrices, E(1) 2L1(IRMM) and E(2) 2L1(IRNN) are 1

(2)

positive symmetric variable matrices, which depend on the space-variable x 2 and satisfy E(1) = 1 and E(2) = 1 on 0 def= nGwith some subset G.

The generally nonlinear function

S

: 01)IRM !IRM satises

S

(tx

y

) = 0 for allx20 = nG

and

S

(tx0) = 0 for allx2t 2(01):

That meams that the damping-term

S

(tx

E

) is only present on a certain subsetG. The following coerciveness-assumption is imposed.

yS

(x

y

)(x) min fj

y

jpj

y

jgfor all

y

2IRMx2G:

Here p 2 21) and 2 L1(G) is a positive function on G, which does not necessarily have a uniform positive lower bound on G.

This means that

S

(tx

y

) is allowed to be bounded as jyj ! 1 and j

S

(tx

y

)j behaves like jyjp;1 for small jyj. For example

S

(tx

E

)def= (x)j

E

jq(1 +j

E

jq);1

E

with q 2 01) is possible.

A domain D(B) L2(IRM+N) containing C01(IRM+N) is chosen, such that the operartor

B(

E F

)def=

E(1)

3

X

k=1Hk@k

F

!E(2)

3

X

k=1Hk@k

E

!!

is skew-adjoint on D(B), i.e. B = ;B with respect to a weighted scalar-product. The choice of D(B) involves boundary-conditions on @ supplementing 1.1-1.2.

A physically important example for this system are Maxwell'sequations describing the propagation of the electromagnetic eld

"@t

E

= curl

H

;

S

(tx

E

) and @t

H

=;curl

E

(1.4)

supplemented by the initial-boundary conditions

~n^

E

= 0 on (01);1~n^

H

= 0 on (01);2 (1.5)

E

(0x) =

E

0(x)

H

(0x) =

H

0(x): (1.6)

In 1.5 ;1 @ and ;2 def= @n;1.

E

H

denote the electric and magnetic eld respectively which depend on the time t 0 and the space-variable x 2 and

S

(tx

E

) describes a possibly nonlinear resistor. The dielectric and magnetic susceptibilities "2L1() are assumed to be uniformly positive.

For 1.4, 1.5 the operator B is dened in the space X def= L2(CI6) by

B(

E

F

)def= (";1 curl

F

;;1 curl

E

) for (

E

F

)2D(B)def= WE WH:

2

(3)

Here WH is the closure of C01(IR3n;2CI3) inHcurl(), where Hcurl(), is the space of all

E

2L2(CI3) with curl

E

2L2().

WE denotes the set of all

E

2Hcurl(), such that

Z

E

curl

F

;

F

curl

E

dx= 0 for all

F

2WH

which includes a weak formulation of the boundary-condition~n^

E

= 0 on ;1, see 5].

Another example for 1.1-1.2 is the rst-order system corresponding to the initial- boundary-value-problem of the scalar wave-equation with nonlinear damping, see 3], 4], 7].

@t2'= div (Er');S(x@t') (1.7)

supplemented by the initial-boundary-onditions

'= 0 on (01)@ (1.8)

'(0x) =f0(x) and @t'(0x) =f1(x) (1.9) for initial-data f0 2H01 () and f1 2 L2(). Here E 2 L1(IR33) is a symmetric matrix-valued function satisfying E = 1 on 0 = nG.

Note that

u

def= (@t'Er')2C(01)L2(IR4)) solves the system

@t

u

= ( div (

u

2::

u

4)Er

u

1);(S(tx

u

1)000) (1.10)

which is of the form 1.1-1.3.

The set N of stationary states for 1.1-1.3 is the set of all

u

2D(B) with

B

u

+F(t

u

) = 0 for all t 0, where the nonlinear operator F : (01)X ! X is dened by

F(t

u

)def= ;E(1)

S

(t

u

1( ))0: From the assumptions on

S

it follows

f(

E F

)2 ker B :

E

= 0 on GgN:

Conversely assume

u

= (

E F

) 2 D(B) with B

u

+F(t

u

) = 0. Since B is skew-adjoint this yields 0 =<

u

B

u

>X= ; <

u

F(t

u

) >X= R

uS

(tx

E

)dx which implies

E

= 0 onG by the coerciveness assumption. Hence the set of stationary states is given by

N =f(

E

F

)2 ker B :

E

= 0 onGg:

The aim of this paper is to show

(

E

(t)

F

(t))t!1;! 0 in L2() weakly (1.11)

3

(4)

if and only if the initial-data (

E

0

F

0)2L2() obey

Z

E(1);1

E

0

e

+E(2);1

F

0

f

dx= 0 for all (

e

f

)2N: (1.12)

In the case of Maxwell's equations 1.4-1.6 the condition 1.12 on (

E

0

F

0) implies

div ("

E

0) = 0 on 0 and div (

H

0) = 0 on (1.13) since N contains all elements of the form (r'r) with '2C01(0) and 2C01().

The proof of 1.11 is based on a suitable modication of the approach in 3], 11] for the case that the operator B does not necessarily have purely discrete spectrum. The basic idea is to show that for each f 2 C01(IRnf0g) and

g

2!0(

E

0

F

0) the function f(iB)

g

is real-analytic and vanishes on G, where !0(

E

0

F

0) denotes the !-limit-set with respect to the weak topology of the orbit belonging to the initial-state (

E

0

F

0). This implies f(iB)

g

= 0 for allf 2C01(IRnf0g) and hence

g

2 ker B. (Here the operator f(iB) can be dened by the spectral-theorem, since iB is self-adjoint in L2(CIM+N).)

If

S

is independent of t and monotone with respect to

E

strong Lr-convergence is shown, i.e.

jj

E

(t)jjLr(K)+jj

F

(t)jjL2(K)t!1;! 0 for all 1 r <2 and compact setsK (1.14) if the initial-data (

E

0

F

0)2L2() obey condition 1.12.

Finally 1.11 is used to prove that the solution the wave-equation 1.7-1.8 in an arbitrary domain IR3 decays with respect to the energy-norm on each bounded subdomain of . The case of a bounded domain has been considered in 3] and 11]. Here the domain is not necessarily bounded. For all R2 (01), f0 2H01 ()) and f1 2L2()) it is shown that

jjr'(t)jjL2( \BR)+jj@t'(t)jjL2( \BR)

t!1

;!0:

2 Notation, Assumptions

For an arbitrary open set K IR3 the space of all innitely dierentiable functions with compact support contained inK is denoted by C01(K).

Let IR3 be a (connected) domain and let 0 be an open subset, such that G def= n0 has nonempty interior. The variable matrices E(1) 2 L1(IR(MM)) and E(2) 2L1(IR(NN)) assumed to be symmetric and uniformly positive in the sense that y? E(1)(x)yc0jyj2 and z? E(2)(x)z c0jzj2 (2.15) for allx2y2IRM and z 2IRN with some c0 2(01) independent of xyz.

Next,

E(1)(x) = 1 and E(2)(x) = 1 for allx20 = nG: (2.16) 4

(5)

The assumptions on

S

: 01)IRM !IRM are the following.

S

(tx

y

) = 0 ifx20 = nG (2.17)

S

(

y

) measurable for xed

y

2IRM (2.18)

and Lipschitz-continuous, i.e. there exists L2(01), such that

j

S

(tx

y

);

S

(tx

y

~)j Lj

y

;

y

~j for all

y y

~ 2IRM and x2: (2.19)

j

S

(tx

y

)j2 C0 <

y

S

(tx

y

)> for allt 0x2G

y

2IRM (2.20)

with some C0 2(01). Moreover,

yS

(x

y

)(x) min fj

y

jpj

y

jgfor all

y

2IRMx2G: (2.21) Here 2 L1(G) with > 0 and p 2 21). The function does not necessarily have a uniform positive lower bound on G. It follows from the two latter assumptions that

S

(tx

y

) = 0 if and only if

y

= 0 for allx2G.

In the sequel Lq(K) denotes for a measurable subset K G the weighted Lq-space endowed with the norm

jjujjLq(K) def= ZKjujqdx1=q where q211) and as in 2.21.

The matricesHj 2IRNM obey the following algebraic condition, which is fullled in the examples 1.4-1.6 and 1.7-1.9.

3

X

k=1kHk

!

3

X

k=1kHk

!

3

X

k=1kHk

!

=jj2

3

X

k=1kHk

!

for all 2IR3 (2.22) LetW0 L2(CIM) be the space of all

e

2L2(CIM) with P3k=1@k(Hk

e

)2L2() in the

sense of distributions endowed with the norm

jj

e

jj2W0 def= jj

e

jj2L2 +jjX3

k=1@k(Hk

e

)jj2L2:

Furthermore, let D(A) with C01(CIM) D(A) be closed subspace of W0 with respect to the above norm and

A

e

def= X3

k=1@k(Hk

e

) for

e

2D(A): (2.23)

Then the adjoint operatorA obeys C01(CIN)D(A ) and A

F

=;X3

k=1@k(Hk

F

) for all

F

2D(A ): (2.24)

5

(6)

For a vector

w

2CIM+N we denote by

w

1 the rst M and by

w

2 the last N components of

w

.

Now, the following operators are dened.

LetD(B0)def= D(A)D(A ) and

B0

w

def= (;A

w

2A

w

1) for

w

2D(B0) = D(A)D(A ):

Next, B def= EB0 with E def= diag (E(1)E(2)), i.e. D(B)def= D(B0) and

B

w

def= EB0

w

=;E(1)A

w

2E(2)A

w

1 (2.25) for

w

2D(B). It turns out that B is a densely dened skew self-adjoint operator in the Hilbert-spaceX def= L2(CIM+N) endowed with the scalar-product

<

F G

>Xdef= Z E;1

FG

dx

This follows from the closedness ofA, which implies thatA =A=A. (It is advantageous for following considerations to consider a complex space X. But whenever the

S

(tx

E

)

occurs in an equation, the function

E

is of course assumed to be real-valued.) Now, letN be the set of all

a

2 ker B with

a

1(x) = 0 for all x2G.

Moreover, letX0 def= N? be the space of all

w

2X with <

u

w

>X= 0 for all

u

2N.

For

w

2L2(IRM+N) a function

u

2C(IRX) is called a weak soution to the problem 1.1-1.3, if

dtdh

u

(t)

a

iX =;h

u

(t)B

a

iX +hF(t

u

(t))

a

iX for all

a

2D(B) (2.26)

Here F : (01)X !X is dened by F(t

u

)def= ;E(1)

S

(t

u

1( ))0:

2.26 is equivalent to the variation of constant formula

u

(t) = exp (tB)

w

+Z t

0

exp((t;s)B)F(s

u

(s))ds (2.27) where (exp (tB))t2IR is the unitary group generated by B. Since F(t ) is assumed to be Lipschitz-continuous in X by assumption 2.19, it follows from a standard result that this integal-equation has a unique solution

u

2C(01)X), see 8], ch.7.

2.27 yields the energy-estimate 12 d

dtjj(t)jj2X =hF(t

u

(t))

u

(t)iX =;ZG

S

(tx

u

(t)1)

u

(t)1dx 0: (2.28)

In the sequel T( )

w

2C(01)X) denotes the unique solution to 1.1-1.3 in the sense of 2.26.

6

(7)

3 Weak convergence for

t ! 1

In the following lemma it is shown in particular that T( )

w

2 L1((01)X) , i. e.

jjT(t)

w

jjX is bounded ast !1.

Lemma 1

Suppose

w

2X and

u

(t)def= T(t)

w

. Then

Z

1

0

h

u

(t)F(t

u

(t))idt+jj

u

(t)jj2X jj

w

jj2X (3.29)

Z

1

0

jjF(t

u

(t))jj2Xdt C0jj

w

jj2X

with some C0 2(01) independent of

w

. Moreover,

u

1 2Lp((01)L1(K)) for all bounded measurable subsets K G: (3.30)

Proof:

Let

u

(t) = (

E

(t)

F

(t))def= T(t)

w

. By the assumptions 2.20 on

S

one has

jjF(t

f

)jj2X C0hF(t

f

)

f

i for all

f

2X

with some C0 >0 independent of

f

. Therefore, the energy-estimate 2.28 yields 12 d

dtjjT(t)

w

jj2X hF(t

f

)

f

i ;C0;1jjFT(t)

w

jj2X: This implies 3.29 by Gronwall's lemma.

To prove 3.30 let

f

2 X and dene

a b

2L2((GIRM) by

a

(x)def=

f

1(x) if j

f

1(x)j 1 and

a

(x) def= 0 if j

f

1(x)j > 1. Moreover,

b

(x) def=

f

1(x) if j

f

1(x)j > 1 and

b

(x) def= 0 if

j

f

1(x)j 1.

Then it follows from assumption 2.21 that

a

(x)

S

(tx

a

(x))(x)j

a

(x)jp and

b

(x)

S

(tx

b

(x))(x)j

b

(x)j for allx2G. Holder's inequality yields

jj

f

1jjL1(K) jj

a

jjL1(K)+jj

b

jjL1(K) (3.31) CK1jj

a

jjLp(K)+jj

b

jjL1(K)=CK1

Z

Gj

a

(x)jpdx1=p+ZGj

b

(x)jdx

CK1

Z

G

a

(x)

S

(tx

a

(x))dx1=p+ZG

b

(x)

S

(tx

b

(x))dx CK1

Z

G

f

(x)

S

(tx

f

(x))dx1=p+ZG

f

(x)

S

(tx

f

(x))dx

=CK1(h

f

F(t

f

)i)1=p+h

f

F(t

f

)i CK2

1 +jj

f

jj2;2X =p

(h

f

F(t

f

)i)1=p

Finally, the assertion follows from 3.29 and 3.31

2

7

(8)

Lemma 2

X0\D(Bn) is dense in X0\D(Bm) for all mn2IN with m < n.

Proof:

Let

w

2X0\D(Bm) and dene

w

def= n(;B);n

w

2D(Bn) for > 0. Then

jjBk(

w

;

w

)jjX (3.32)

=jjBk

w

;( ;B);1]nBk

w

jjX !1

;! 0 for allk 2f01::mg: Suppose

a

2N. Then

<

w

a

>X=<

w

n( +B);n

a

>X=<

w

a

>X= 0: Hence

w

2X0. By 3.32 the proof is complete.

2

Lemma 3

i)

w

=B02

w

on for all

w

2(ran B0)\D(B20), in particular

;

e

=A A

e

and;

f

=AA

f

on for all

e

2(ranA )\D(A) and

f

2(ranA)\D(A ).

with A

e

2D(A ) and A

f

2D(A).

ii)

w

=B2

w

on 0 = nG for all

w

2X0\D(B2).

Proof:

Let

u

2 C01(CIM+N)D(B0n) for alln 2IN. Then it follows from 2.22 using Fourier- transform that

F(B03

u

)1() =;i

0

@ 3

X

j=1jHj

1

A

3

X

k=1kHk

!

3

X

l=1lHl

!

F(

u

2)()

=;ijj2

3

X

l=1lHl

!

F(

u

2)() Analogously,

F(B03

u

)2() =;ijj2

3

X

l=1lHl

!

F(

u

1)() and hence

B03

u

=B0

u

for all

u

2 C01(CIM+N): (3.33) Now, assume

w

2(ran B0)\D(B02), i.e.

w

=B0

v

with some

v

2D(B03). Then

Z (B02

w

)

u

dx=hB03

v

u

iL2 =h

w

B30

u

iL2

8

(9)

=h

v

B0

u

iL2 =h

w

u

iL2 =Z

w

u

dx

for all

u

2C01(), which means B02

w

=

w

in the sense of distributions.

To prove ii) let

w

2 X0 \D(B2). Suppose

u

2 C01(0CIM+N). and dene ~

u

def= (B02;)

u

2C01(0CIM+N) D(Bn0). Then 3.33 yieldsB0

u

~ = 0 and hence ~

u

2N. In

particular 0 =h

w u

~i, because

w

2X0. Since E = 1 on 0, it followsB

u

~ =B0

u

~2D(B) and ~

u

= (B2;)

u

. With

w

2X0 and ~

u

2N one obtains

0 =h

w

u

~iX =h

w

B2

u

iX ;h

w

u

iX =hB2

w

u

iX ;h

w

u

iX

=Z B2

w

]

u

;

w u

dx

Since for all

u

2C01(0CIM+N) is arbitrary, the assertion follows.

2

Remark 1

Due to the facts that generally E(j) 6= 1 and

a

1 = 0 on G for all

a

2 N we

have

w

1 6= (B2

w

)1 on G for all

w

2X0\D(B2) in general.

For example is the case of Maxwell's equations 1.4-1.6 all

w

2X0\D(B2) obey (B2

w

)1 =;";1 curl (;1 curl

w

1). The condition

w

2X0 implies

div ("

w

1) = 0 on 0 and div (

w

2) = 0 on , as mentioned in the introduction, but it does not provide any information on the divergence of

w

1 on the set G, since

a

1 = 0 on G for all

a

2N.

In the next lemma it is shown that X0 is an invariant space ofT(t).

Lemma 4

i) < T(t)

w

a

>X=<

w

a

>X for all

w

2X,

a

2N and t0.

ii) T(t)

w

2X0 for all

w

2X0 and t 0.

Proof:

Suppose

w

2 X0 and

a

2 N, that means

a

2 ker B and

a

1 = 0 on G. Then 3.51 and 2.27 yield

< T(t)

w

a

>X=<exp(tB)

w

;Z t

0

exp ((t;s)B)F(sT(s)

w

)ds

a

>X

=<

w

exp(;tB)

a

>X ;

Z t

0

< F(sT(s)

w

)exp((s;t)B)

a

>X ds

=<

w

a

>X ;

Z t

0

< F(sT(s)

w

)

a

>X ds=<

w

a

>X : Hence, i) is proved. ii) follows from i) and the denition X0 def= N?.

2

9

(10)

In the sequel let !0(

w

) denote the !-limit-set of the solution T( )

w

with respect to the weak topology of X, i.e. the set of all

g

2X, such that there exists a sequence tn n!1;! 1

with T(tn)

w

n!1;!

g

in X weakly, that means with < T(tn)

w f

>Xn!1;!<

g f

>X for all

f

2X.

Since theT( )

w

2L1((01)X) by lemma 1 the weak!-limit-set!0(

w

) in nonempty for all

w

2X.

Theorem 1

i) Let

w

2X . Then !0(

w

)N.

Proof:

Let

u

(t) def= T(t)

w

for t 2 IR. Suppose

g

2 X and tn n!1;! 1 with T(tn)

w

n!1;!

g

in X0

weakly. Since

u

(tn+t) = exp (tB)

u

(tn) +Zttn+t

n

exp((tn+t;)B)F

u

()d by 2.27, it follows from lemma 1, 3.29 that

jj

u

(tn+t);exp (tB)

u

(tn)jjX

Z tn+t

tn jjF

u

()jjXd t1=2Zttn+t

n

jjF

u

()jj2Xd1=2 n!1;! 0 for allt2 IRand hence

u

(tn+t)n!1;! exp(tB)

g

in X weakly for all t2IR: (3.34) Suppose 2 C01(IR) and dene

f

def= RIR(t)exp(tB)

g

dt and

f

(n) def= RIR(t)

u

(tn+t)dt Then 3.34 yields by the dominated convergence-theorem

h

f

(n)

h

iX =ZIR(t)h

u

(tn+t)

h

iXdt

n!1

;! Z

IR(t)hexp(tB)

g h

iXdt =h

f h

iX

for all

h

2X , i.e.

f

(n)n!1;!

f

weakly. In particular

f

(n)1 n!1;!

f

1 inL2(G)L1(K) weakly for all bounded K G: (3.35) On the other hand it follows from lemma 1 iii) that

jj

f

(n)1jjL1(K) jjjjLp (IR)

Z b+tn

a+tn jj

u

1(t)jjpL1(K)dt

!

1=p

n!1

;! 0 (3.36)

10

(11)

for allt2 IR. Here ab 2IRwith supp (ab). 3.35 and 3.36 yield

f

1 = 0 onK for all bounded K Gand all 2C01(IR) where

f

def= RIR(t)exp(tB)

g

dt. This implies

(exp (tB)

g

)1 = 0 on Gfor all t2IR: (3.37)

SinceiB is self-adjoint inX,f(iB) =RIRf()dE can be dened by the spectral-theorem for a Borel-measurable functionf :IR!CI. Here (E)2IR denotes the family of spectral- projectors of iB. If f 2C01(IR), then bounded operator f(iB) has the representation

f(iB)

u

=ZIRf^(t)exp (;tB)

u

dt for all

u

2X: (3.38)

Here ^f denotes the Fourier-transform of f. To see this let

u v

2X. Then

hf(iB)

u v

i=ZIRf()dhE

u v

i

= (2);1=2ZIRZIRf^(t)exp(it)dtdhE

u

v

i

= (2);1=2ZIRf^(t)ZIRexp(it)dhE

u

v

idt

= (2);1=2ZIRf^(t)hexp (;tB)

u v

idt

= (2);1=2hZIRf^(t)exp (;tB)

u

dt

v

i

Suppose f 2C01(IRnf0g). Then 3.37 and 3.38 yield

(f(iB)

g

)1 = 0 on G: (3.39)

Moreover,

f~(iB)

g

=Bf(iB)

g

=;E(1)A (f(iB)

g

)2E(2)A(f(iB)

g

)1 on (3.40)

where ~f() = f(). In particular 3.39 and 3.40 yield in the case that f is replaced by g()def= ;1f()2C01(IRnf0g) that

(f(iB)

g

)2 =E(2)A(g(iB)

g

)1 = 0 on G

and hence by 3.39

f(iB)

g

= 0 onG (3.41)

11

(12)

Since E(x) = 1 on nG, 3.39 - 3.41 yield

B0f(iB)

g

=B(f(iB)

g

) = ~f(iB)

g

for allf 2C01(IRnf0g) (3.42) with ~f() =f().

In particular it follows by induction

f(iB)

g

2( ran B0)\D(B0n) with B0nf(iB)

g

=Bn(f(iB)

g

) (3.43) for allf 2C01(IRnf0g) and n2IN.

The aim of the following considerations is to show that f(iB)

g

is real analytic on . This will be achieved by means of a local integral representation.

Let f 2C01(IRnf0g) and choose 2C01(IRnf0g) with () = 1 on supp f. Dene

F

(t) def= exp(;tB)(iB)

g

= (2);1=2ZIR^()exp((;t;)B)

g

d:

Then 3.43 and lemma 3 i) yield

@t2

F

(t) =B2

F

(t) =B02

F

(t) =

F

(3.44) in particular

@nt

F

=Bn

F

( )2L1(IRL2()) and

n

F

=B02n

F

( ) =B2n

F

( )2L1(IRL2()) for all n2IN which implies

F

2C1(IR) and

@jt@

F

2L1(IRK) for all compact Kj 2IN0 and 2IN03: (3.45) Suppose x0 2 and choose R >0 with B2R. Let

K(x)def= (4jxj);1f^(;jxj) for 2IR and x2IR3 Then 3.45 yields for allx 2BR=2(x0)

limr!0

Z

IR

Z

@Br(x)~n(y)K(x;y)ry

F

j(y) (3.46)

;

F

j(y)ryK(x;y)]dS(y)d

= (4);1rlim

!0

r;3ZIRf^(;r)Z@B

r

(x)~n(y)(x;y)]

F

j(y)dS(y)d

!

=ZIRf^()

F

j(x)d=ZIRf^()(exp(;B)(iB)

g

)j(x)d 12

(13)

= (2)1=2(f(iB)(iB)

g

)j(x) = (2)1=2(f(iB)

g

)j(x): For all x2BR=2(x0) and ally2B2R(x0) with y6=x one has by 3.44

divyK(x;y)ry

F

j(y);

F

j(y)ryK(x;y)]

=K(x;y)y

F

j(y);

F

j(y)yK(x;y)

=K(x;y)@2

F

j(y);

F

j(y)@2K(x;y)

=@K(x;y)@

F

j(y);

F

j(y)@K(x;y)]

and hence

Z

IR

Z

@BR(x0)~n(y)K(x;y)ry

F

j(y) (3.47)

;

F

j(y)ryK(x;y)]dS(y)d

; Z

IR

Z

@Br(x)~n(y)K(x;y)ry

F

j(y);

F

j(y)ryK(x;y)]dS(y)d

=ZIRZB

R

(x0)nBr(x) div yK(x;y)ry

F

j(y)

;

F

j(y)ryK(x;y)]dyd

=ZB

R

(x0)nBr(x)

Z

IR@K(x;y)@

F

j(y)

;

F

j(y)@K(x;y)]ddy= 0

since K(x;y)j;j!1! 0 and@K(x;y)j;j!1! 0, whereas

F

and @

F

remains bounded as jj!1 by 3.45 for xedy 6=x.

Now, 3.46 and 3.47 yield for all x2BR=2(x0) (2)1=2(f(iB)

g

)j(x) =ZIRZ@B

R

(x0)~n(y)K(x;y)ry

F

j(y) (3.48)

;

F

j(y)ryK(x;y)]dS(y)d

Since f 2C01(IR), there exists a constant C1 2(01) with (1 +2)jf^(k)()j C1k for all 2IRand k 2IN:

13

Referenzen

ÄHNLICHE DOKUMENTE

We consider the existence, both locally and globally in time, the asymptotic behaviour, and the blow up of solutions to the initial boundary value problem for a class of nonlinear

We consider the existence, both locally and globally in time, the asymptotic behaviour, and the blow up of solutions to the initial boundary value problem for a class of nonlinear

Tsutaya, K.: Global existence and the life span of solutions of semilinear wave equations with data of non compact support in three space dimensions. Pohozaev, S., Veron, L.:

We prove the existence of global set-valued solutions to the Cauchy problem for partial differential equations and inclusions, with either single-valued or set-valued

On the convergence in distribution of measurable mul- tifunctions (random sets), normal integrands, stochastic processes and stochastic infima. On the construction of

J-B Wets (1986): Asymptotic behavior of statistical estimators and optimal solutions for stochastic optimization problems.. J-B Wets (1987): Asymptotic behavior of

INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS A-2361 Laxenburg, Austria... ASYMPTOTIC BEHAVIOR OF STATIETICAL ESI'IMATORS AND OF OF'TIMAL SOLUTIONS OF

INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS 2361 Laxenburg, Austria... 1 Inequality constrained least squares estimation of regres- sion