An inverse problem of reconstructing the time-dependent coefficient in a one-dimensional hyperbolic equation

In this paper, for the first time the inverse problem of reconstructing the time-dependent potential (TDP) and displacement distribution in the hyperbolic problem with periodic boundary conditions (BCs) and nonlocal initial supplemented by over-determination measurement is numerically investigated. Though the inverse problem under consideration is ill-posed by being unstable to noise in the input data, it has a unique solution. The Crank-Nicolson-finite difference method (CN-FDM) along with the Tikhonov regularization (TR) is applied for calculating an accurate and stable numerical solution. The programming language MATLAB built-in lsqnonlin is used to solve the obtained nonlinear minimization problem. The simulated noisy input data can be inverted by both analytical and numerically simulated. The obtained results show that they are accurate and stable. The stability analysis is performed by using Fourier series.

Automated summary

This paper investigates the inverse problem of reconstructing the time-dependent potential and displacement distribution in the hyperbolic problem with periodic boundary conditions and nonlocal initial conditions, supplemented by over-determination measurement. The problem, though unstable to noise in the input data, has a unique solution. The Crank-Nicolson-finite difference method along with Tikhonov regularization is used to calculate an accurate and stable numerical solution, with results showing accuracy and stability.