Backward Diffusion-Wave Problem: Stability, Regularization, and Approximation
نویسندگان
چکیده
Our aim is the development and analysis of numerical schemes for approximately solving backward diffusion-wave problem, which involves a fractional derivative in time with order $\alpha\in(1,2)$. From terminal observations at two levels, i.e., $u(T_1)$ $u(T_2)$, we simultaneously recover initial data $u(0)$ $u_t(0)$ hence solution $u(t)$ all $t > 0$. First, existence, uniqueness, Lipschitz stability problem were established under some conditions about $T_1$ $T_2$. Moreover, noisy data, propose quasi-boundary value scheme to regularize “mildly" ill-posed show convergence regularized solution. Next, numerically solve fully discrete proposed by applying finite element method space convolution quadrature time. We establish error bounds solutions both cases smooth nonsmooth data. Those estimates are very useful practice since they indicate ways choose discretization parameters regularization parameter, according noise level. Intensive experiments accuracy support our theoretical results.
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ژورنال
عنوان ژورنال: SIAM Journal on Scientific Computing
سال: 2022
ISSN: ['1095-7197', '1064-8275']
DOI: https://doi.org/10.1137/21m1447271