DETECTION OF A TIME-DEPENDENT FORCING TERM IN A ONE-DIMENSIONAL WAVE EQUATION WITH A DYNAMIC-TYPE BOUNDARY CONDITION

Document Type : Original Article

Author
Department of Mathematics, University of Science and Technology of Mazandaran, Behshahr, Iran
Abstract
 In the current paper, we study an inverse problem of identifying a time-dependent forcing term in the one-dimensional wave equation. We have the information of the wave displacement at two different instants of time and two sensor locations of space along with a dynamic type boundary condition. We prove the unique solvability of the problem under some regularity and consistency conditions. Then, an approximate solution of the given inverse problem based on employing the Ritz technique along with the collocation method is presented which converts the problem to a linear system of algebraic equations. The method takes advantage of the Tikhonov regularization technique to solve the linear system of equations that is not well-conditioned in order to achieve stable solutions. Numerical findings are also included to support the claim that the presented method is reliable in finding accurate and stable solutions

Keywords


[1] M. Alosaimi, D. Lesnic and D. N. Hao, Estimation of the time-dependent body force needed to exert on a membrane to reach a desired state at the final time. International Journal of Computer Mathematics, 98(9):1877–1891, 2021.
[2] L. Boyadjiev, K. Rashedi and M. sini, Estimation of the time-dependent body force needed to exert on a membrane to reach a desired state at the final time. Computational Methods in Applied Mathematics, 19:323–339, 2019.
[3] P. C. Hansen, Analysis of discrete ill-posed problems by means of the L-curve. SIAM Review, 34:561–580, 1992.
[4] G. H. Hu, Y. Kian and Y. Zhao, Uniqueness to some inverse source problems for the wave equation in unbounded domains. Acta Mathematicae Applicatae Sinica, English Series, 36:134–150,2020.
[5] V. Isakov, Inverse source problems mathematical surveys and monographs, volume 34, Providence, RI: American Mathematical Society, 1990.
[6] A. Kirsch, An introduction to the mathematical theory of inverse problems, Applied mathematical sciences, 120, New York, 2011.
[7] T. Ohe, Real-time reconstruction of moving point/dipole wave sources from boundary measurements. Inverse Problems in Science and Engineering, 28(8):1057–1102, 2020.
[8] F. Mirzaee and N. Samadyar, On the numerical solution of stochastic quadratic integral equations via operational matrix method. Mathematical Methods in the Applied Sciences, 41:4465–4479, 2018. 
[9] F. Mirzaee and N. Samadyar, Application of hat basis functions for solving two-dimensional stochastic fractional integral equations . Computational and Applied Mathematics, 37:4899–4916, 2018.
[10] K. Rashedi, A numerical solution of an inverse diffusion problem based on operational matrices of orthonormal polynomials. Mathematical Methods in the Applied Sciences, 44:12980–12997, 2021.
[11] K. Rashedi, A spectral method based on Bernstein orthonormal basis functions for solving an inverse Roseneau equation. Computational and Applied Mathematics, 41, 2022. https://doi.org/10.1007/s40314-022-01908-0
[12] K. Rashedi, Reconstruction of a time‐dependent coefficient in nonlinear Klein-Gordon equation using Bernstein spectral method. Mathematical methods in the Applied Sciences, 2022. https://doi.org/10.1002/mma.8607
[13] K. Rashedi and M. sini, Stable recovery of the time-dependent source term from one measurement for the wave equation. Inverse Problems, 31(10):105011, 2015.
[14] A. Sazmand and M. Behroozifar, Application Jacobi spectral method for solving the time-fractional differential equation. Journal of Computational and Applied Mathematics, 339:49-68, 2018.
[15] S. A. Yousefi and M. Behroozifar, Operational matrices of Bernstein polynomials and their applications. International Journal of systems Science, 41: 709-716, 2010.
[16] S. A. Yousefi, M. Behroozifar and M. Dehghan, The operational matrices of Bernstein polynomials for solving the parabolic equation subject to specification of the mass. Journal of Computational and Applied Mathematics, 235: 5272-5283, 2011.