Abstract

In this paper, the numerical analytic continuation problem is addressed and a fractional Tikhonov regularization method is proposed. The fractional Tikhonov regularization not only overcomes the difficulty of analyzing the ill-posedness of the continuation problem but also obtains a more accurate numerical result for the discontinuity of solution. This article mainly discusses the a posteriori parameter selection rules of the fractional Tikhonov regularization method, and an error estimate is given. Furthermore, numerical results show that the proposed method works effectively.

Highlights

  • The problem of analytic continuation arises in many fields [1,2,3]

  • In order to better reconstruct the characteristics of exact solutions, we propose a fractional Tikhonov regularization method to solve Problem 1

  • Based on the above reasons, we will use the a posteriori fractional Tikhonov regularization method to study the analytical continuation problem mentioned at the beginning of the article

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Summary

Introduction

The problem of analytic continuation arises in many fields [1,2,3]. Medical imaging [4,5], the inversion of Laplace transform [6], inverse scattering problems [7], and so on. The analytical continuation problem is described as follows [8]

A Posteriori Fractional Tikhonov
Method and the Convergence Estimate
Numerical Examples
Example
Conclusions

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