Научная статья на тему 'On an estimate for the modulus of continuity of a nonlinear inverse problem'

On an estimate for the modulus of continuity of a nonlinear inverse problem Текст научной статьи по специальности «Математика»

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Ural Mathematical Journal
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PARABOLIC EQUATION / INVERSE PROBLEM / MODULUS OF CONTINUITY OF THE INVERSE OPERATOR / APPROXIMATE METHOD / ERROR ESTIMATE

Аннотация научной статьи по математике, автор научной работы — Tabarintseva Elena V.

A reverse time problem is considered for a semi-linear parabolic equation. Two-sided estimates are obtained for the norms of values of a nonlinear operator in terms of the norms of values of the corresponding linear operator. As a consequence, two-sided estimates are established for the modulus of continuity of a semi-linear inverse problem in terms of the modulus of continuity of the corresponding linear problem.

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Текст научной работы на тему «On an estimate for the modulus of continuity of a nonlinear inverse problem»

URAL MATHEMATICAL JOURNAL, Vol. 1, No. 1, 2015

ON AN ESTIMATE FOR THE MODULUS OF CONTINUITY OF A NONLINEAR INVERSE PROBLEM1

Elena V. Tabarintseva

Computational Mathematics Department, South Ural State University,

Chelyabinsk, Russia, eltab@rambler.ru

Abstract: A reverse time problem is considered for a semi-linear parabolic equation. Two-sided estimates are obtained for the norms of values of a nonlinear operator in terms of the norms of values of the corresponding linear operator. As a consequence, two-sided estimates are established for the modulus of continuity of a semi-linear inverse problem in terms of the modulus of continuity of the corresponding linear problem.

Key words: Parabolic equation, Inverse problem, Modulus of continuity of the inverse operator, Approximate method, Error estimate.

Introduction

The article examines the reverse time problem for a semilinear parabolic equation. V. K. Ivanov, V. N. Strakhov, and their disciples and followers developed the theory and worked out the technique to obtain error estimates for approximate methods of solution of linear ill-posed problems on compact sets (correctness classes) (see, for example, [2,3,6]). This theory naturally introduces the concepts of optimal and order-optimal approximate methods of solution of unstable problems. The relevant concepts were introduced for nonlinear ill-posed problems as well (see, for example, [9,10]) Various methods for solving nonlinear ill-posed problems were considered, for example, in [1,5,7,8,11].

For linear ill-posed problems the technique for computing the error of optimal regularization method on a correctness class is based on the connection between the error of the method and modulus of continuity for the inverse operator, which can be calculated for each operator and each correctness class M by means of the spectral technique [3,6]. For nonlinear problems, the connection between the error of the method and the modulus of continuity for the inverse operator is also present; unfortunately, there seems to be no known method for calculation of the modulus of continuity on correctness classes.

To the best of our knowledge, this paper is the first one to use the Volterra property of the operator corresponding to the reverse time problem to obtain two-sided estimates for the norms of values of a non-linear operator in terms of the norms of the values of the corresponding linear operator. This allows us to get two-sided estimates for the modulus of continuity for the semi-linear inverse problem on correctness classes through the modulus of continuity for the corresponding linear problem, for which the calculation technique is well-known.

1 Published in Russian in Trudy Inst. Mat. i Mekh. UrO RAN, 2013. Vol. 19. No 1. P. 253-257.

1. An estimate of the modulus of continuity for the semi-linear inverse

problem

1.1. "Forward" problem for a parabolic equation

Consider an initial boundary value problem for a parabolic equation. That is, the function

-2,~

v(x, t) £ C([to; T]; ^22'0[0; l])nC1 ((to; T); L2[0; l]) is to be determined from the following equations:

dv d 2v

dt = dX2 + °(x)v + f (t,v(x,t)); t £ (to;T), x £ (0; l), (1.1)

v(t0, x) = p(x) (0 < x < l), v(t, 0) = v(t, l) = 0 (0 <to <t<T),

where a(x) £ C2[0; l], p(x) £ L2[0; l] are certain given functions. Here f: [t0; T] x L2[0; l] ^ L2[0; l] is a mapping that is Lipshitz continuous in v and the Holder continuous in t:

\\f (vi,ti) - f (v2,t2)yL2[0;ij < Lyvi - v2\\l2[0;1] + K|ti - t2|°

for all t1,t2 £ [t0;T], v1,v2 £ L2[0;l], where the constants L, K do not depend on t, 0 < a < 1 . Let Xn(x) denote the eigenfunctions of the Sturm-Liouville problem

X'n + a(x)X (x) = ¡X, X (0) = X (l) = 0,

corresponding to the eigenvalues ¡n = —Xn and forming a complete orthonormal system in L2 [0; l]. Problem (1.1) is equivalent to the integral equation

^ ^ / ^ \ v(x, t) = £ e-XltPnXn(x) + ( e-X"(t-T fn(r, v(x, r))Xn(x)) dr, (1.2)

n=1 0 n=1 '

where fn(t,v(x,t)) = f (t,v(x,t))Xn(x)dx; pn(t,v(x,t)) = x))Xn(x)dx (see, for exam-

J0 J0

ple, [4]).

Consider the initial-boundary value problem for the linear parabolic equation corresponding to problem (1.1). Namely, the function u(x,t) £ C([t0; T]; W22,0[0; l]) n C 1((t0; T); L2[0; l]) is to be determined from the following equations:

du d 2u

dt = + a(x)u; t £ (t0; T), x £ (0; l), (1.3)

u(t0,x) = p(x) (0 < x < l), u(t, 0) = u(t, l) = 0 (0 <t0 <t<T). Problem (1.3) has a unique solution, which can be represented in the form

<x

u(x,t) = e-XltPnXn (x). (1.4)

n=1

Here, pn = / p(x)Xn(x)dx are the Fourier coefficients of p(x) with respect to the orthonormal 0

system of functions Xn(x) (see, for example, [4]).

Lemma. Consider functions S L2[0; /]. Let u1(x,t), u2(x,t) be the corresponding solu-

tions to the problem (1.3), let v1(x, t), v2(x, t) be the solutions to the problem (1.1). Then, for every t S [to; T], the following inequalities hold

e-LTeLT||ui - U2|| < ||vi - V2y < eLT||ui - U2W. Proof. It follows from equalities (1.2) and (1.4) that

v1(x, t) — v2(x, t) = u1(x, t) — u2(x, t)

+ / (Ee-X"(t-T)(fn(T,v1(x,r)) — fn(rMx,r))Xn(x)f)dr. (1.5)

0 n=1

Thus, taking into account the Lipshitz continuity of f, we obtain the inequality

t

||v1(x, t) — v2(x, t)|| < ||U1(x, t) — U2(x, t)|| + L J Hv1(x,r) — v2(x, r)Hdr. (1.6)

to

The estimate below follows from (1.6) by the Gronwall lemma:

||v1 (x,t) — v2(x,t)H < eLT||u1(x,t) — U2(x,t)|. (1.7)

From equality (1.5), we can also obtain the following:

u1 (x, t) — u2(x, t) = —(v1(x, t) — v2(x, t))

t 00

+ j (E e-Xn(t-T)( fn(r,v1(x,r)) — fn(r,v2(x,T))Xn(x)^ dr ; 0 n=1

hence, taking into account the Lipschitz continuity, we get

t

||u1(x, t) — u2(x, t)H < ||v1(x, t) — v2(x, t)H + L J Hv1(x,r) — v2(x, r)Hdr. (1.8)

to

Moreover, in view of (1.7), inequality (1.8) implies that

t

||u1(x, t) — u2(x, t)|| < ||v1(x, t) — v2(x, t)|| + LeLT J Hu1(x,r) — u2(x, r)Hdr. (1.9)

to

From (1.9), by the Gronwall lemma, we have

11u 1 (x, t) — u2(x,t)|| < eLTeLT 11v 1 (x, t) — v2(x,t)|. (1.10)

The statement of lemma follows from inequalities (1.7) and (1.10).

1.2. The inverse problem for a parabolic equation

Consider the reverse time problem for a semi-linear parabolic equation. That is, we have to determine a function p(x) £ L2[0; l] such that the solution of initial-boundary value problem (1.1) satisfies the condition

v(x,T) = x(x), (1.11)

where x(x) £ L2[0; l] is a given function from the range of the forward problem. Namely, we assume there exists a function p(x) £ L2[0; l] such that the forward problem takes it to x(x), where x(x) is given explicitly.

Simultaneously, we consider the inverse problem for the corresponding linear equation. Let x(x) denote the solution to linear forward problem (1.3) with the initial condition u(0,x) = p(x), 0 < x < l, and consider the inverse problem with the following condition:

u(x, T) = x(x), (1.12)

where u(x,t) is the solution of initial boundary value problem (1.3) for the linear equation. Hence, in parallel with nonlinear inverse problem (1.1), (1.11), we consider the inverse problem for the linear equation, i. e., we have to determine a function p(x) £ L2[0;l] such that the solution to initial boundary value problem (1.3) satisfies condition (1.12).

Let M a L2[0;l] be a compact set. We assume that, for a given function x(x) £ L2[0;l], nonlinear inverse problem (1.1), (1.11) has an exact solution p(x) belonging to the set M, but the values of the function x(x) are unknown; instead we know approximate values of the given function, that is, we know a function xs £ L2[0; l] such that \\x — xs\\ < S. Given the initial data, we are to determine an approximate solution ps to the reverse time problem and to estimate its deviation from the exact solution.

Consider the following values:

w(M,S) = sup{\p1 — p2\\: p1,p2 £ M, \\x1 — x2\\ < S} is a modulus of continuity for the nonlinear inverse problem,

w(M, S) = sup{\p1 — p2\\: p1, p2 £ M, \ j(1 — x2\\ < S} is a modulus of continuity for the linear inverse problem.

The following theorem holds.

Theorem. There exists S0 > 0, such that for all 0 < S < S0 the following inequalities hold:

u(M, e-LTS) < u(M, S) < u(M, eLTeLTS).

Proof. Consider p1, p2 £ M. We estimate the value uo(M, S) using the inequalities obtained in the lemma.

Find the upper estimate of uo(M, S). Write inequality (1.10) for t = T:

\\x1 — x2\\< eLTeLT\\x1 — x2\.

Therefore, the conditions p1,p2 £ M, \\x1 — x2\\ < S implies that \j(1 — x2\\ < S1, where S1 = eLTL S.

Thus, by definition of the modulus of continuity

u(M,S) < u(M, eLTeLTS).

Find the lower estimate of w(M, S). Write inequality (1.7) for t = T:

\\x1 — x2\\ < eLT\x — x2\\.

Denote S2 = e-LTS. Taking into account the inequality above, we see that the conditions p1,p2 £ M \xc1 — x2\\ < S2 imply that \\x1 — x2\ < S. Hence, by definition of the modulus of continuity,

u(M, S) > u(M,e-LTS).

This completes the proof.

2. Examples

Example 1. Consider the set M1 of functions v(x) £ L2[0; l] such that

d 2k v

£ L2[°;l] (k = l.-.m), V(0)= v(l) = 0, v(2k)(0) = v(2k)(l)=0 (k = l,...,m - 1);

N d2mV N

d%2m IIL2 [0;l]

< r.

Calculating the modulus of continuity for problem (1.3), (1.12) in the way suggested in [1,11], we obtain

*<M1.«=2r in-rf •

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Using the theorem, we get the following estimate of the modulus of continuity for semi-linear problem (1.1), (1.11) on the set M1:

< ^(i.M1) < t(t - f0>:.

(ln ^m " (In lM) "

Example 2. Consider 0 <t0 <T. We define the set M2 using the linear problem

du d2u , . , _ ,

dt = dX2 + a(X)u; t £ (0; T), x £ (0; l),

u(0,x) = u0(x) (0 < x < l), u(t, 0) = u(t, l) = 0 (t0 <t<T). Denote v(x) = u(t0, x). We consider the set of functions

M2 = Mx) £ L2[0; l]: lM| < r}.

Find the estimate of the modulus of continuity for semi-linear inverse problem (1.1), (1.11) on the set M2. Examine linear problem (1.3), (1.12). The theorem implies that

u(M2,e-LT5) < u(M2,S) < Cj(M2,eLTeLT5).

The standard calculations for the linear problem (see, for example, [2]) allow us to obtain the estimate

2e-Lt0eLt0r5T < u(M2,5) < 2eLt0r^5T.

Finally, we obtain

2eLto(1-eLt°)rT-t°5T < u(5,M2) < 2eLt°(1+eLT)rT-°5T. REFERENCES

1. Vasin V.V., Ageev A.L. Inverse and Ill-posed problems with a priori information. Inverse and Ill-Posed Problems Series. Utrecht: VSP, 1995. 255 p.

2. Ivanov V.K., Vasin V.V., Tanana V.P. Theory of linear ill-posed problems and its applications. Inverse and Ill-Posed Problems Series. Walter de Gruyter, 2002. 294 p.

3. Ivanov V.K., Korolyuk T.I. Error estimates for solutions of incorrectly posed linear problems //USSR Computational Mathematics and Mathematical Physics. 1969. Vol. 9, no. 1. P. 35-49.

4. Mikhlin S.G. Mathematical physics; an advanced course. Amsterdam, Norhth-Holland Pub.Co., 1970. 562 p.

5. Bakushinsky A.B., Kokurin M.Yu. Iterative methods for approximate solution of inverse problems. Mathematics and its Applications. Vol. 577. Dordrecht: Springer, 2004. 291 p.

6. Strakhov V.N. On solving linear ill-posed problems in a Hilbert space // Diff. equations. 1970. Vol. 6, iss. 8. P. 1990-1995.

7. Tabarintseva E.V. On error estimation for the quasi-inversion method for solving a semi-linear ill-posed problem // Sib. Zh. Vychisl. Mat. 2005. Vol. 8, iss. 3, P. 259-271.

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