Abstract

This article deals with the mathematical analysis of the inverse coefficient problem of identifying the unknown coefficient $k(x)$ in the linear time-fractional parabolic equation $D_{t}^{\alpha}u(x,t)=(k(x)u_{x})_{x}+qu_{x}(x,t)+p(t)u(x,t)$ , $0<\alpha\leq1$ , with mixed boundary conditions $k(0)u_{x}(0,t)=\psi_{0}(t)$ , $u(1,t)=\psi_{1}(t)$ . By defining the input-output mappings $\Phi[\cdot]:\mathcal {K}\rightarrow C[0,T]$ and $\Psi[\cdot]:\mathcal{K}\rightarrow C^{1}[0,T]$ the inverse problem is reduced to the problem of their invertibility. Hence the main purpose of this study is to investigate the distinguishability of the input-output mappings $\Phi[\cdot]$ and $\Psi[\cdot]$ . This work shows that the input-output mappings $\Phi[\cdot]$ and $\Psi [\cdot]$ have distinguishability property. Moreover, the value $k(1)$ of the unknown diffusion coefficient $k(x)$ at $x=1$ can be determined explicitly by making use of measured output data (boundary observation) $k(1)u_{x}(1,t)=h(t)$ , which brings about a greater restriction on the set of admissible coefficients. It is also shown that the measured output data $f(t)$ and $h(t)$ can be determined analytically by a series representation. Hence the input-output mappings $\Phi [\cdot]: \mathcal{K}\rightarrow C[0,T]$ and $\Psi[\cdot]:\mathcal{K}\rightarrow C^{1}[0,T]$ can be described explicitly, where $\Phi[k]=u(x,t;k)|_{x=0}$ and $\Psi[k]=k(x)u_{x}(x,t;k)|_{x=1}$ .

Highlights

  • The inverse problem of determining unknown coefficient in a linear parabolic equation by using over-measured data has generated increasing interest from engineers and scientists during the last few decades

  • The existence and uniqueness of solutions for fractional differential equations with nonlocal and integral boundary conditions have been studied by Ashyralyev and Sharifov

  • We conclude that the distinguishability of the input-output mappings [·] and [·] hold which implies the injectivity of the inverse mappings – and –. This provides the insight that compared to the Dirichlet type, the Neumann type of measured output data is more effective for the inverse problems of determining unknown coefficients

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Summary

Introduction

The inverse problem of determining unknown coefficient in a linear parabolic equation by using over-measured data has generated increasing interest from engineers and scientists during the last few decades. This kind of problem plays a crucial role in engineering, physics, and applied mathematics. Intensive study has been carried out on this kind of problem, and various numerical methods were developed in order to overcome the problem of determining unknown coefficients [ – ]. Finite difference methods for fractional parabolic and hyperbolic differential equations with various conditions have been studied by Ashyralyev et al [ – ]. Second order implicit finite difference schemes have been applied to the right-hand side of the identification problem by Erdogan and Ashyralyev [ ]

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