This paper is concerned with an inverse problem of recovering a potential term in a one-dimensional subdiffusion problem, which involves a Djrbashian-Caputo fractional derivative of order $\alpha\in(0,1)$ in time, from the lateral Cauchy data. In the model, we do not assume a full knowledge of the initial data and the source term, since they might be unavailable in some practical applications. We prove the unique recovery of the spatially-dependent potential coefficient and the order $\alpha$ of the derivation simultaneously from the measured trace data at one end point, when the model is equipped with a boundary excitation with compact supports away from $t=0$. One of the initial data and the source can also be uniquely determined, provided that the other is known. The analysis employs a representation of the solution and the time analyticity of the associated function. Further, we discuss a two-stage procedure, directly inspired by the analysis, for the numerical identification of the order and potential coefficient, and illustrate the feasibility of the recovery with several numerical experiments.
翻译:本文所关注的是在单维次扩散问题中恢复潜在术语的反面问题,这个问题涉及从横向Cauchy数据中及时从一个Djrbashian-Caputo分解衍生物(0,1美元)中收回一个可能的术语。在模型中,我们不完全了解初始数据和源术语,因为在某些实际应用中可能无法找到这些数据和源术语。我们证明在某一端,当模型配有从美元=0美元中扣除缩合支持的边界引力时,空间依赖潜在系数和从测得的痕量数据中同时提取的1美元等值是独一无二的。初步数据和来源之一也可以单独确定,前提是知道另一个数据为已知数据。分析采用了解决方案的表述和相关函数的时间分析。此外,我们讨论由分析直接启发的两阶段程序,用以量化顺序和潜在系数,并用若干数字实验来说明恢复的可行性。