Abstract
This paper is devoted to recovering a spatial source term in a time-fractional diffusion-wave equation by using an additional final time observation. Based on the regularity of solution for the direct problem, the existence and uniqueness of the spatial source term are obtained. For this ill-posed problem, the generalized quasi-boundary value regularization method is proposed, and the convergence rate of the regularized solution under an a priori choice rule of the regularization parameter is achieved. Specially, for the modified quasi-boundary value regularized problem, we propose a numerical method in terms of combining the backward Euler convolution quadrature scheme for approximating the time-fractional derivative and the piecewise linear finite element scheme for dealing with the space variables. Based on a complicated numerical analysis, we give an error estimate between the numerical source solution in a fully discrete regularized problem and the exact source function under certain reasonable smoothness assumptions to the given data including the initial functions and a time-dependent source term. Some numerical experiments are provided for one- and two-dimensional cases to verify the theoretical result and illustrate the efficient of the proposed numerical algorithm.
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This paper is supported by the National Natural Science Foundation of China (12171215) and Natural Science Foundation of Gansu Province (22JR5RA391).
Appendix
Appendix
In this appendix, we present the deduction of fully discrete solution in (6.3) and the proof of Lemma 6.2. The following two Lemmas will be utilized.
Lemma 8.1
[10] Let \(\Sigma _\theta =\{z\in {\mathbb {C}}:|z|\ne 0, |\arg {z}|\le \theta \}\) for \(\pi /2<\theta <\pi /\alpha \), there exists positive constants \(c=c(\theta , \alpha )\) s.t.
Lemma 8.2
[15] For any \(\theta \in (\pi /2, \pi )\), there exists \(\theta ^{\prime }\in (\pi /2, \pi )\) and positive constants \(c, c_1, c_2\) independent of \(\tau \) such that for all \(z\in \Gamma _{\theta ,\sigma }^{\tau }\)
Deduction of fully discrete solution (6.4) Denote \(w_n={\tilde{U}}_n-\phi _h-t_n\psi _h\), then \(w_0=0\). Multiplying \(\xi ^n\) on both sides of the equation in the fully discrete problem (6.3) and summing over n from 1 to \(\infty \), there is
In terms of the convolution quadrature (6.1), we have
and similarly by the definition of \(\overline{\partial }_\tau ^{(-2)}\), we have
Notice that \(\sum _{n=1}^{\infty }\xi ^n=\frac{\xi }{1-\xi }\) and \(\sum _{n=1}^{\infty }t_n \xi ^n=\frac{\tau \xi }{(1-\xi )^2}\), by (8.1), it implies
In view of the relationship of \(w_n\) and \({{\tilde{U}}}_n\), then \({\tilde{U}}_n\) satisfies
By the Cauchy integral formula, we have
where \(1>\rho >0\) is a small constant.
According to the Cauchy integral theorem, we know \(\frac{1}{2\pi i}\int _{|\xi |=\rho } k(\xi )d\xi =0\) for analytic function \(k(\xi )\) over \(|\xi |\le \rho \), then we have
since for small enough \(\rho \) and \(j\ge n+1\), \((\delta _{\tau }(\xi )^\alpha -L_h)^{-1}\delta _{\tau }(\xi )^{-2}\xi ^{j-n-1}\) is analytic over the disk \(|\xi |\le \rho \), refer to [32]. It is well-known that the following holds
Then we can denote
By the transform \(\xi =e^{-z\tau }\) and the Cauchy integral theorem, we have
Therefore, the solution of the fully discrete problem can be obtained easily as (6.4).
Proof of Lemma 6.2
Proof
In terms of (6.5), one knows
Due to (6.9), it follows
In the following, we try to prove
Firstly, it is easy to deduce
According to Lemma 8.1, it can be proved that
Hence, by simple calculations, we can obtain
where \(C>0\) depends on \(\Vert p\Vert _{C[0,T]}\).
By Lemma 8.2, it is easy to prove \(|z^{-1}-\delta _{\tau }(e^{-z\tau })^{-1}|\le C\tau \) and
Then by taking \(\sigma =T^{-1}\), noting that \(\cos \theta <0\), one can derive at
Further, we have
Therefore, we have \(\lambda _j^h|I_1^h-I_1^{h,\tau }|\le C\tau \) where \(C>0\) depending on \(\Vert p\Vert _{C[0,T]}\).
Secondly, we estimate \(\lambda _j^h(I_2^h-I_2^{h,\tau })\), it can be divided into
Each term is estimated respectively as follows
And by Lemma 8.2, it is easy to prove \(|z^{-2}-\delta _{\tau }(e^{-z\tau })^{-2}|\le C\tau |z|^{-1}\) and
from which we have
and note that \(1-e^{-\tau z}=\delta _{\tau }(e^{-z\tau })\tau \), we have
Therefore, we have \(\lambda _j^h|I_2^h-I_2^{h,\tau }|\le C\tau \) where \(C>0\) depending on \(\Vert p'\Vert _{C[0,T]}\).
Thirdly, we estimate \(\lambda _j^h(I_3^h-I_3^{h,\tau })\) as follow.
where \(e_{33}\) contains the last two terms. Then we analyse each term as follows.
and for estimating \(e_{32}\), we take \(\sigma =(T-s)^{-1}\), then we have
As for \(e_{33}\), we have
noting that \(e^{-zs}p^{\prime \prime }(s)=e^{-zt_k}p^{\prime \prime }(t_k)-\int _{s}^{t_k}e^{-z\xi }(-zp^{\prime \prime }(\xi )+p^{\prime \prime \prime }(\xi ))d\xi \) for \(s\in [t_{k-1},t_k]\), and substituting it into \(e_{33}\), we have
then by taking \(\sigma =(T-\xi )^{-1}\), \(y=\rho (T-\xi )\), it follows
Therefore, we have \(\lambda _j^h|I_3^h-I_3^{h,\tau }|\le C\tau \) where \(C>0\) depending on \(\Vert p^{\prime \prime }\Vert _{L^1(0,T)}+\Vert p^{\prime \prime \prime }\Vert _{L^1(0,T)}\).
Finally, we deduce the estimates of the last two terms.
where \(C>0\) depends on \(\Vert p^{\prime \prime }\Vert _{C[0,T]}\).
It is known the convolution weight \({\tilde{\omega }}_0=\tau ^2\), then we have
Combining the estimates above for each term, one can obtain the following estimate
By \(F_j^h(T)\ge \frac{C}{\lambda _j^h}\), for a small enough \(\tau \), there exists a positive constant C such that
\(\square \)
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Luo, Y., Wei, T. Uniqueness and Numerical Method for Determining a Spatial Source Term in a Time-Fractional Diffusion Wave Equation. J Sci Comput 99, 51 (2024). https://doi.org/10.1007/s10915-024-02523-3
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DOI: https://doi.org/10.1007/s10915-024-02523-3