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A finite-difference and Haar wavelets hybrid collocation technique for non-linear inverse Cauchy problems

Muhammad Ahsan, Iltaf Hussain, Masood Ahmad

2022Applied Mathematics in Science and Engineering26 citationsDOIOpen Access PDF

Abstract

In this research work, a finite-difference and Haar wavelet hybrid collocation scheme is introduced for the ill-posed non-linear inverse Cauchy problem with a source depending on space variable along with an unknown solution and unknown right side boundary. The first-order finite-difference approach is adopted to approximate the ∂u∂t part and two different Haar series are managed to approximate ∂2u∂x2 part and source term respectively. A simple linearization procedure is used to convert the non-linear problem into a linear form. In contradiction to various numerical schemes, the current introduced method generates a well-conditioned system of algebraic equations, therefore it is not required to apply a regularization approach. The results of the proposed method are stable and converge to the exact solution. Some numerical tests are also performed to confirm the accuracy, well-conditioning of the algebraic equations and easy applicability of the scheme on linear and non-linear cases.

Topics & Concepts

MathematicsCauchy distributionApplied mathematicsLinearizationFinite differenceRegularization (linguistics)Mathematical analysisNonlinear systemComputer sciencePhysicsQuantum mechanicsArtificial intelligenceNumerical methods in inverse problemsFractional Differential Equations SolutionsIterative Methods for Nonlinear Equations