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On Cauchy Problem for Nonlinear Fractional Differential Equation With Random Discrete Data

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Date

2019

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Elsevier Science inc

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Green Open Access

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Abstract

This paper is concerned with finding the solution u (x, t) of the Cauchy problem for nonlinear fractional elliptic equation with perturbed input data. This study shows that our forward problem is severely ill-posed in sense of Hadamard. For this ill-posed problem, the trigonometric of non-parametric regression associated with the truncation method is applied to construct a regularized solution. Under prior assumptions for the exact solution, the convergence rate is obtained in both L-2 and H-q (for q > 0) norm. Moreover, the numerical example is also investigated to justify our results. (C) 2019 Elsevier Inc. All rights reserved.

Description

Phuong, Nguyen Duc/0000-0003-3779-197X; Nguyen Huy, Tuan/0000-0002-6962-1898; Tran Bao, Ngoc/0000-0003-1600-5845

Keywords

Fractional Derivative, Ill-Posed Problem, Elliptic Equation, Random Noise, Regularized Solution, random noise, Inverse problems for PDEs, regularized solution, elliptic equation, fractional derivative, PDEs with randomness, stochastic partial differential equations, ill-posed problem, Fractional partial differential equations

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Fields of Science

0103 physical sciences, 01 natural sciences

Citation

Nguyen Duc Phuong; Nguyen Huy Tuan...et al. (2019). "On Cauchy problem for nonlinear fractional differential equation with random discrete data", Applied Mathematics and Computation, Vol. 362.

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Q1

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6

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Applied Mathematics and Computation

Volume

362

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Start Page

124458

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CrossRef : 3

Scopus : 7

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7

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7

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2

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