Abstract
This paper studies the Lipschitz continuity of the Fréchet gradient of the Tikhonov functional
as well as solvability of the regularized inverse problem and the Lipschitz continuity of the Fréchet gradient of the Tikhonov functional are proved. Furthermore, relationships between the sufficient conditions for the Lipschitz continuity of the Fréchet gradient and the regularity of the weak solution of the direct problem as well as the measured output
Dedicated to Prof. Marian Slodička on his 60th birthday
A Some necessary estimates for the solutions of the direct and adjoint problems
We derive here some necessary estimates for the weak and regular weak solutions of the direct problem (1.1).
A.1 Estimates for the weak solution
First of all, we derive a useful trace norm estimate for the weak solution
Lemma A.1.
Let conditions (1.3) hold. Then for the trace norm
Proof.
We use the identity
Applying to the right-hand side the inequality
Integrating then on
Lemma A.2.
Let conditions (1.3) hold. Then for the weak solution
where
and
Proof.
Multiply both sides of equation (1.1) by
for a.e.
for a.e.
for a.e.
The first consequence of (A.7) is the inequality
for a.e.
where
The second consequence of (A.7) is the inequality
By estimate (A.8), this inequality implies the second required estimate (A.3). ∎
Using estimates (A.3) and (A.8) in (A.1), we can estimate the
Corollary A.3.
Let the conditions of Lemma A.2 hold. Then
where
Corollary A.4.
Let the conditions of Lemma A.2 hold. Then for the weak solution of the adjoint problem (5.3) the following estimates hold:
where
Proof.
Using the transformation for the time variable
for the function
Using here the inequality
Now we derive some estimates for the weak solution
Lemma A.5.
Let
with the constants defined in Lemma A.1.
Proof.
As in the proof of Lemma A.2, we multiply both sides of equation (2.7) by
for all
for
for a.e.
Finally, we derive a necessary estimate for the gradient norm
Lemma A.6.
Let the conditions of Lemma A.2 hold. Then for the weak solution
of problem (5.4) the following estimate holds:
where
and
Proof.
We employ the same transformation
for the function
for a.e.
Choosing the arbitrary parameter
for a.e.
where
As in the proof of Lemma A.2, we first estimate from inequality (A.19) the norm
we estimate the norm
A.2 Estimates for the regular weak solution
We assume here that the inputs
Lemma A.7.
Let conditions (2.1) hold. Then for the regular weak solution with improved regularity defined by (2.2) the following estimates hold:
where
Proof.
Differentiate formally equation (1.1) with respect to
Integrating this identity on
with the initial condition
for all
Using the same argument as in the proof of inequality (A.1), we estimate the first right-hand-side integral as follows:
for all
This is the same inequality (A.6) with
Using this lemma and inequality (A.22), we can estimate the
Corollary A.8.
Let the conditions of Lemma A.6 hold. Then
where
Corollary A.9.
Let the conditions of Lemma A.6 hold. Assume, in addition, that the measured output
Proof.
Using the transformation
with the same constants
Lemma A.10.
Let conditions (2.1) and (5.9) hold. Then for the regular weak solution with improved regularity of problem (1.1) the following estimate holds:
where
and
Proof.
Let
over
Taking into account here estimates (A.3) and (A.20), we obtain the required estimate (A.26). ∎
The following assertion is the analogue of the above lemma, and it can be proved in the very same way using estimates (A.11) and (A.24).
Lemma A.11.
Let the conditions of Lemma A.10 hold. Assume, in addition, that the measured output
where
Finally, we derive some estimates for the regular weak solutions with improved regularity of problems (2.7) and (5.4).
Lemma A.12.
Let conditions (2.1) hold and let
where
Proof.
Differentiate formally equation (2.7) with respect to
where
where
This estimate implies the desired results (A.28) and (A.29). ∎
Lemma A.13.
Let conditions (2.1) and (5.9) hold. Then for the regular weak solution with improved regularity of problem (2.7) the following estimate holds:
where
and
Proof.
As in the proof of Lemma A.10, we use the integral inequality
To estimate the third right-hand-side integral, we integrate over
which holds due to the boundary condition
for all
To estimate the first right-hand-side integral of (A.32) we use (A.30). We have
Using in (A.32) estimates (A.33) and (A.34), with estimates (A.26) and (A.14) for the second and fourth right-hand-side integrals, we arrive at estimate (A.31). ∎
Now we prove that similar results to those given in Lemma A.12 and Lemma A.13 also hold for the regular weak solution with improved regularity of problem (5.4), whose Neumann data contains also the increment of the output
Lemma A.14.
Let conditions (2.1) hold. Assume, in addition, that the measured output
where
and the constants
Proof.
As in the proof of Lemma A.5, we first employ the transformation
which is similar to the integral inequality (A.18). Use now estimates (A.25), (A.28) and (A.29) for the second, third and fourth right-hand-side integrals for the functions
where the constants are defined in (A.37).
Estimates (A.35) and (A.36) are obtained from this integral inequality by the same argument as in the proof of Lemma A.2. ∎
Lemma A.15.
Let conditions (2.1) hold. Assume, in addition, that the measured output
where
and the constants
Proof.
As in the proof of Lemma A.7, we use the integral inequality
for the regular weak solution
In the same way as estimate (A.33), we can estimate the third right-hand-side integral by using estimate (A.27). We have
Using this estimate with estimates (A.35), (A.27) and (A.15) for the first, second and fourth, respectively, right-hand-side integrals of (A.40), we obtain
This leads to the desired estimate (A.38) with the constants
Acknowledgements
The author would like to thank Professors Vladimir G. Romanov, Marian Slodička and Cristiana Sebu for their valuable comments and suggestions.
References
[1] R. Bellman, Asymptotic series for the solutions of linear differential-difference equations, Rend. Circ. Mat. Palermo (2) 7 (1958), 261–269. 10.1007/BF02849324Suche in Google Scholar
[2] J. R. Cannon and P. DuChateau, An inverse problem for a nonlinear diffusion equation, SIAM J. Appl. Math. 39 (1980), no. 2, 272–289. 10.1137/0139024Suche in Google Scholar
[3] P. DuChateau, Monotonicity and invertibility of coefficient-to-data mappings for parabolic inverse problems, SIAM J. Math. Anal. 26 (1995), no. 6, 1473–1487. 10.1137/S0036141093259257Suche in Google Scholar
[4] H. W. Engl, M. Hanke and A. Neubauer, Regularization of Inverse Problems, Math. Appl. 375, Kluwer Academic Publishers, Dordrecht, 1996. 10.1007/978-94-009-1740-8Suche in Google Scholar
[5] L. C. Evans, Partial differential equations, 2nd ed., Grad. Stud. Math. 19, American Mathematical Society, Providence, 2010. Suche in Google Scholar
[6] A. Hasanov, P. DuChateau and B. Pektaş, An adjoint problem approach and coarse-fine mesh method for identification of the diffusion coefficient in a linear parabolic equation, J. Inverse Ill-Posed Probl. 14 (2006), no. 5, 435–463. 10.1515/156939406778247615Suche in Google Scholar
[7] A. Hasanov Hasanoğlu and V. G. Romanov, Introduction to Inverse Problems for Differential Equations, Springer, Cham, 2017. 10.1007/978-3-319-62797-7Suche in Google Scholar
[8] S. I. Kabanikhin, A. Hasanov and A. V. Penenko, The gradient-based method for solving the inverse coefficient heat-conduction problem, Sib. Zh. Vychisl. Mat. 11 (2008), no. 1, 41–54. 10.1134/S1995423908010047Suche in Google Scholar
[9] O. A. Ladyzhenskaya, The Boundary Value Problems of Mathematical Physics, Appl. Math. Sci. 49, Springer, New York, 1985. 10.1007/978-1-4757-4317-3Suche in Google Scholar
[10] L. A. Liusternik and V. J. Sobolev, Elements of Functional Analysis, John Wiley & Sons, New York, 1961. Suche in Google Scholar
[11] E. Zeidler, Nonlinear Functional Analysis and its Applications. II/A: Linear Monotone Operators, Springer, New York, 1990. 10.1007/978-1-4612-0981-2Suche in Google Scholar
© 2018 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
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- Lipschitz continuity of the Fréchet gradient in an inverse coefficient problem for a parabolic equation with Dirichlet measured output
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Artikel in diesem Heft
- Frontmatter
- Error estimates for the simplified iteratively regularized Gauss–Newton method in Banach spaces under a Morozov-type stopping rule
- An optimization algorithm for determining a point heat source position in a 2D domain using a hybrid metaheuristic
- Lipschitz continuity of the Fréchet gradient in an inverse coefficient problem for a parabolic equation with Dirichlet measured output
- On finding a cavity in a thermoelastic body using a single displacement measurement over a finite time interval on the surface of the body
- On dynamical reconstruction of an input in a linear system under measuring a part of coordinates
- A straightforward proof of Carleman estimate for second-order elliptic operator and a three-sphere inequality
- Information content in data sets: A review of methods for interrogation and model comparison
- An inverse problem in corrosion detection: Stability estimates