In this paper,we consider the unique solvability of the inverse problem of determining the right-hand side of a parabolic equation whose leading coefficient depends on time variable under nonlocal integral overdetermi...In this paper,we consider the unique solvability of the inverse problem of determining the right-hand side of a parabolic equation whose leading coefficient depends on time variable under nonlocal integral overdetermination condition.We obtain sufficient conditions for the unique solvability of the inverse problem.The existence and uniqueness of the solution of the inverse parabolic problem upon the data are established using the fixed point theorem.This inverse problem appears extensively in the modelling of various phenomena in engineering and physics.For example,seismology,medicine,fusion welding,continuous casting,metallurgy,aircraft,oil and gas production during drilling and operation of wells.In addition,the numerical solution of the inverse problem is studied by using the Crank-Nicolson finite difference method together with the Tikhonov regularization to find a stable and accurate approximate solution of finite differences.The resulting nonlinear system of parabolic equation is solved computationally using the MATLAB subroutine lsqnonlin.Both analytical and numerically simulated noisy input data are inverted.The root mean square error values for various noise levels for both continuous and discontinuous time-dependent heat source term are compared.Numerical results presented for two examples show the efficiency of the computational method and the accuracy and stability of the numerical solution even in the presence of noise in the input data.Furthermore,the choice of the regularization parameter is also discussed based on the trial and error technique.展开更多
文摘In this paper,we consider the unique solvability of the inverse problem of determining the right-hand side of a parabolic equation whose leading coefficient depends on time variable under nonlocal integral overdetermination condition.We obtain sufficient conditions for the unique solvability of the inverse problem.The existence and uniqueness of the solution of the inverse parabolic problem upon the data are established using the fixed point theorem.This inverse problem appears extensively in the modelling of various phenomena in engineering and physics.For example,seismology,medicine,fusion welding,continuous casting,metallurgy,aircraft,oil and gas production during drilling and operation of wells.In addition,the numerical solution of the inverse problem is studied by using the Crank-Nicolson finite difference method together with the Tikhonov regularization to find a stable and accurate approximate solution of finite differences.The resulting nonlinear system of parabolic equation is solved computationally using the MATLAB subroutine lsqnonlin.Both analytical and numerically simulated noisy input data are inverted.The root mean square error values for various noise levels for both continuous and discontinuous time-dependent heat source term are compared.Numerical results presented for two examples show the efficiency of the computational method and the accuracy and stability of the numerical solution even in the presence of noise in the input data.Furthermore,the choice of the regularization parameter is also discussed based on the trial and error technique.
