Recovering Solution of the Reverse Nonlinear Time Fractional Diffusion Equations with Fluctuations Data
Thanh Xuan Doan Thi, Vo Thi Thanh Ha
Abstract
In this study, our focus is on obtaining an estimated solution for the nonlinear fractional time diffusion equation. Specifically, we have utilized the Riemann Liouville fractional derivative. Additionally, we have concerned Gaussian white noise in the input data. As we are aware, this problem is considered ill-posed according to Hadamard's definition. To tackle this problem, we have proposed a regularized solution and demonstrated the convergence between the mild solution and the regularized solution.
Topics & Concepts
Hadamard transformNonlinear systemFractional calculusMathematicsFocus (optics)Applied mathematicsConvergence (economics)White noiseDiffusionNoise (video)Diffusion equationDerivative (finance)Mathematical analysisComputer sciencePhysicsStatisticsService (business)EconomyEconomic growthFinancial economicsEconomicsThermodynamicsQuantum mechanicsOpticsImage (mathematics)Artificial intelligenceFractional Differential Equations SolutionsNonlinear Differential Equations AnalysisIterative Methods for Nonlinear Equations