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ISSN 1072-6691. URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp (login: ftp) 147.26.103.110 or 129.120.3.113

Quasireversibility Methods for Non-Well-Posed Problems

Gordon W. Clark and

Seth F. Oppenheimer

Abstract The final value problem,

ut+Au= 0, 0< t < T u(T) =f

with positive self-adjoint unbounded A is known to be ill-posed. One approach to dealing with this has been the method of quasireversibility, where the operator is perturbed to obtain a well-posed problem which approximates the original problem. In this work, we will use a quasi- boundary-value method, where we perturb the final condition to form an approximate non-local problem depending on a small parameter α.

We show that the approximate problems are well posed and that their solutions uα converge on [0, T] if and only if the original problem has a classical solution. We obtain several other results, including some explicit convergence rates.

1 Introduction

LetAbe a self-adjoint operator on a Hilbert space H such that−A generates a compact contraction semi-group onH. We consider the problem of finding a u: [0, T]−→H such that

u0(t) +Au(t) = 0, 0< t < T

u(T) =f (F V P)

for some prescribed final valuef inH. Such problems are not well posed, that is, even if a unique solution exists on [0, T] it need not depend continuously on the

1991 Mathematics Subject Classifications: 35A35, 35R25.

Key words and phrases: Quasireversibility, Final Value Problems, Ill-Posed Problems.

c1994 Southwest Texas State University and University of North Texas.

Submitted: November 14, 1994.

Partially supported by Army contract DACA 39-94-K-0018 (S. F. O.)

1

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final valuef. One method for approaching such problems is quasi reversibility, introduced by Lattes and Lions in the 1960’s. The idea is to replace (FVP) with an approximate problem which is well posed, then use the solutions of this new problem to construct approximate solutions to (FVP). In the original method of quasi reversibility [2] Lattes and Lions approximate (FVP) with

vα0(t) +Avα(t)−αA2vα(t) = 0, 0< t < T vα(T) =f ,

where the operatorA is replaced by a perturbation, in this case by A−αA2. For eachα >0, they use theinitial value u0=va(0) in

u0α(t) +Auα(t) = 0, 0< t < T uα(0) =vα(0).

Finally they show that theuα(T) converge tof asαtends to zero. The method does not consider u(t) for t < T and the operator carrying f into vα(0) has large norm for smallα(on the order ofeαc)[3].

In [6], Showalter approximates (FVP) with

v0α(t) +αAvα0(t) +Avα(t) = 0, 0< t < T vα(T) =f

and as above for eachα >0, uses the initial valueu0=vα(0) in u0α(t) +Auα(t) = 0, 0< t < T

ua(0) =vα(0).

The solutions ua are shown to approximate (FVP) in the sense that uα(T) converges to f as α tends to zero. Also the uα(t) are shown to converge to the solutionu(t) of (FVP) if and only if such exists, but again the norm of the function carryingf tovα(0) is quite large for smallα.

Miller [3] addresses this problem of large norm by finding optimal perturba- tions of the operator A. He states that it should be possible to make the norm on the order ofαc rather thanexp(αc) and derives conditions on the perturbation f(A) to achievebest possible results. As in the methods above he approximates

(FVP) with

v0(t) +f(A)v(t) = 0, 0< t < T v(T) =f

and again solves the problem forward usingv(0) as an initial condition. Miller calls thisstabilized quasi reversibility.

Finally Showalter [7] addresses a more general problem in a different way.

He approximates the problem

u0(t) +Au(t)−Bu(t) = 0, 0< t < T u(0) =f .

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with

u0(t) +Au(t)−Bu(t) = 0, 0< t < T u(0) +αu(T) =f .

He calls this thequasi-boundary-value method, and he suggests that this method gives a better approximation than many other quasireversibility type methods.

In this work we study this method to approximate (FVP) and prove results analogous to the ones stated in [7]. We note that (FVP) is a special case of the problem studied in [7]. However, ore results are proved directly and this allows us to obtain explicit estimates for the convergence rate of the approximations.

2 Perturbing the final conditions

We approximate (FVP) with thequasi-boundary value problem u0(t) +Au(t) = 0, 0< t < T

αu(0) +u(T) =f . (QBV P)

One superficial advantage of this method is that there is no need tosolve forward here. More importantly, the error introduced by small changes in the final value f is not exponential, but of the order α1. We will show that this problem is well posed for eachα >0,and that the approximationsuαare stable. We show that uα(T) converges tof as αgoes to zero and that the valuesuα(t) converge on [0, T] if and only if (FVP) has a solution.

In the following, assume thatHis a separable Hilbert space andAis as above and that 0 is in the resolvent set of A. Let S(t) be the compact contraction semi-group generated by−A. Since A1 is compact, there is an orthonormal eigenbasisφnforH and eigenvalues λ1

n ofA1such thatA1φn =λ1

nφn.Then the eigenvalues of −A are −λn and those for S(t) are en (and possibly zero) [5]. In particular, for each positive α, αI +S(T) is invertible. Also, if u=P

i=1aiφi,then S(T)u=P

i=1eT λiaiφi and (S(T)u, u) =

X i=1

eT λia2i ≥0. From this accretive type condition we obtain

k(αI+S(T))1k ≤ 1 α.

It is useful to know exactly when (FVP) has a solution. The following lemma answers this question.

Lemma 1 Iff =P

i=1biφi, then (FVP) has a solution if and only if P

i=1b2ie2T λi converges.

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Proof. IfP

i=1b2ie2T λi converges, we merely defineu(t) =P

i=1e(Tt)λibiφi. Letube a solution to (FVP). Then u(0) has an eigenfunction expansion u= P

i=1aiφi,and

S(T)u= X i=1

eT λiaiφi=f = X

i=1

biφi.

This implies thateT λiai=biand thusai=bieT λi.Sinceu(0) is inH, we have

||u||2=P

i=1a2i <∞and we are done. 2

We wish to show that our approximate problem is well-posed and the fol- lowing gives us what we need.

Definition. Define uα(t) =S(t)(αI+S(T))1f, forf in H, α >0 and t in [0, T].

Theorem 1 The function uα(t) is the unique solution of (QBVP) and it de- pends continuously on f.

Proof. Since (αI+S(T))1f is in the domain of A, it is clear that uα is a classical solution of the differential equation. Furthermore,

αuα(0) +uα(T) = α(αI+S(T))1f +S(T)(αI+S(T))1f

= (αI+S(T))(αI+S(T))1f =f.

To see the continuous dependence ofuαonf, compute

kS(t)(αI+S(T))1f1−S(t)(αI+S(T))1f2k

= kS(t)(αI+S(T))1(f1−f2)k

≤ 1

αkf1−f2k.

Uniqueness follows from the fact that any solutionv must satisfyv(0) = (αI+ S(T))1f and the uniqueness of solutions to the forward problem. 2

We make two observations at this point which will be useful later. First, from the above it is clear thatkuα(t)k ≤ α1kfk. Secondly, if u = P

i=1aiφi, then (αI+S(T))u=P

i=1(α+eT λi)aiφi and (αI+S(T))1u=

X i=1

ai

α+eT λiφi. Theorem 2 For allf inH, α >0, andtin [0, T]we have that

kuα(t)k ≤αt−TT kfk.

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Proof. Iff =P

i=1biφi,we have kuα(t)k2 =

X i=1

e2tλib2i α+eT λi2

≤ X

i=1

e2tλib2i h

α+eT λiTt

α+eT λi1Tti2

≤ X i=1

b2i

α1Tt

2

=

αt−TT 2X

i=1

b2i

and we are done. 2

Theorem 3 For all f in H, ||uα(T)−f|| tends to zero as α tends to zero.

That isuα(T)converges to f in H.

Proof. Iff =P

i=1biφi, then

kuα(T)−fk2 = kS(T)(αI+S(T))1f−fk2

= α2k(αI+S(T))1fk2

= X i=1

α2b2i α+eT λi2

. Fix >0.ChooseN so thatP

i=Nb2i < /2.Thus kuα(T)−fk2 <

XN

i=1

α2b2i α+eT λi2

+ 2

≤ α2 XN i=1

b2ieiT + 2. Now letαbe such thatα2<

2PN

i=1b2ieiT2

and we are done. 2

Theorem 4 For allf inH,(FVP) has a solutionuif and only if the sequence uα(0)converges in H. Furthermore, we then have thatuα(t) converges tou(t) asαtends to zero uniformly int.

Proof. Assume that limα0uα(0) = u0 exists. Let u(t) = S(t)u0. Since limα0uα(T) =f,

limα0ku(t)−uα(t)k = kS(t)u0−uα(t)k

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= lim

α0kS(t) u0−(αI+S(T))1f k

≤ lim

α0ku0−(αI+S(T))1fk

= lim

α0ku0−uα(0)k= 0.

Thus, u(T) =f and u(t) = S(t)u0 solves (FVP). We also see that uα(t) con- verges tou(t) uniformly int.

Now let us assume thatu(t) is the solution to (FVP). Let > 0 andf = P

i=1biφi. From Lemma 1 we have thatku(0)k2=P

i=1b2ie2T λi. ChooseN so thatP

i=Nb2ie2T λi< 2. Letα, γ >0. Then

kuα(0)−uγ(0)k2 = k(αI+S(T))1f−(γI+S(T))1fk

= kX

i=1

1

α+eT λi − 1 γ+eT λi

biφik

= X i=1

(γ−α)2 αγ+ (α+γ)eT λi+e2T λi2

b2i

= XN

i=1

(γ−α)2 αγ+ (α+γ)eT λi+e2T λi2

b2i

+ X i=N+1

(γ−α)2 αγ+ (α+γ)eT λi+e2T λi2

b2i

≤ XN i=1

(γ−α)2e4T λib2i + X i=N+1

γ−α α+γ

2

b2ie2T λi

≤ XN i=1

(γ−α)2e4T λib2i + 2. Now if we chooseδ >0 so thatδ2< PN

i=1e4T λib2i 1

and require thatα andγbe less thanδ, we have that

kuα(0)−uγ(0)k2< .

We therefore have that{uα(0)} is Cauchy and thus converges. From the first part of the theorem, we have thatuα(t) converges tou(t) uniformly int. 2

We end this paper with a result that gives explicit convergence rates in the case that (FVP) is soluble for some positive final time.

Theorem 5 If f = P

i=1biφi is in H and there exists an > 0 so that P

i=1b2ieλiT converges, thenkuα(T)−fkconverges to zero with orderα2.

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Proof. Letbe in (0,2) such thatP

i=1b2ieλiT is finite and letkbe in (0,2).

Fix a natural numbern. Define

gn(α) = αk (α+eλnT)2. Differentiating with respect toαyields

g0n(α) =αk1(k−2)α+keT λn (α+eλnT)3 . Thusg0n(α) = 0 when eitherα= 0 or

α= k

2−keT λn.

Sincegn(α)>0,gn(0) = 0, and limα→∞gn(α) = 0 we have thatα0= 2kkeT λn is the critical value at which gn achieves its maximum. Thus we have the inequality

gn(α)≤ k

2k

k

ekT λn0+eλnT)2 . We now calculate

kuα(T)−fk2 = X n=1

b2nα2(α+eλnT)22k X n=1

b2ngn(α)

≤ α2k X n=1

b2n k

2−k k

ekT λn0+eλnT)2

≤ α2k X n=1

b2n k

2−k k

e(2k)T λn20+ 2α0eλnT + 1)1

≤ α2k X n=1

b2n k

2−k k

e(2k)T λn

= α2k k

2−k kX

n=1

b2ne(2k)T λn.

If we choosek= 2−we arrive at kuα(T)−fk2

2

2

α X n=1

b2neT λn=cα2.

2

If we assume thatP

i=1b2ie(2+)λiT converges, working as above, we have that kuα(0)−u(0)k2 = α2k

X n=1

b2ngn(α)e2T λn

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≤ α2k X n=1

b2n k

2−k k

e(4k)T λn.

As above, lettingk= 2−, we arrive at the following.

Corollary 1 If f = P

i=1biφi is in H and there exists an > 0 so that P

i=1b2ie(2+)λiT converges, then kuα(t)−u(t)k converges to zero with order α2 uniformly in t.

References

[1] Conway, J.B., “A Course in Functional Analysis, Springer-Verlag, New York, 1990

[2] Lattes, R. and Lions, J.L., “Methode de Quasi-Reversibility et Applica- tions”, Dunod, Paris, 1967 (English translation R. Bellman, Elsevier, New York, 1969)

[3] Miller, K.,Stabilized quasireversibility and other nearly best possible methods for non-well-posed problems, “Symposium on Non-Well-Posed Problems and Logarithmic Convexity”, Lecture Notes in Mathematics, Vol. 316, Springer- Verlag, Berlin, 1973, pp 161-176

[4] Payne, L.E., Some general remarks on improperly posed problems for par- tial differential equations, “Symposium on Non-Well-Posed Problems and Logarithmic Convexity”, Lecture Notes in Mathematics, Vol. 316, Springer- Verlag, Berlin, 1973, pp 1-30

[5] Pazy, A., “Semigroups of Linear Operators and Applications to Partial Dif- ferential Equations”, Springer-Verlag, New York, 1983

[6] Showalter, R.E.,The Final Value Problem for Evolution Equations, J. Math.

Anal. Appl. 47, 1974, pp 563-572

[7] Showalter, R.E., Cauchy Problem for Hyper-Parabolic Partial Differential Equations, “Trends in the Theory and Practice of Non-Linear Analysis”, Elsevier, 1983

[8] Yosida, K.,“Functional Analysis”, Springer-Verlag, Berlin, 1980 Gordon W. Clark

Department of Mathematics Kennesaw State College P O Box 444

Marietta, GA 30061

E-mail address: [email protected] F. Oppenheimer

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Department of Mathematics and Statistics Mississippi State University

Drawer MA MSU, MS 39762 E-mail address: [email protected]

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