On the uniqueness of solutions in inverse problems for Burgers’ equation under a transverse diffusion

IF 0.9 4区 数学 Q2 MATHEMATICS
A. Baev
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引用次数: 0

Abstract

Abstract We consider the inverse problems of restoring initial data and a source term depending on spatial variables and time in boundary value problems for the two-dimensional Burgers equation under a transverse diffusion in a rectangular and on a half-strip, like the Hopf–Cole transformation is applied to reduce Burgers’ equation to the heat equation with respect to the function that can be measured to obtain tomographic data. We prove the uniqueness of solutions in inverse problems with such additional data based on the Fourier representations and the Laplace transformation.
关于横向扩散下Burgers方程反问题解的唯一性
摘要我们考虑了二维Burgers方程在矩形和半条带上横向扩散下的边值问题中恢复初始数据和源项依赖于空间变量和时间的反问题,像Hopf–Cole变换一样,将Burgers方程简化为关于可以测量以获得断层图像数据的函数的热方程。基于傅立叶表示和拉普拉斯变换,我们证明了具有这些附加数据的反问题解的唯一性。
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来源期刊
Journal of Inverse and Ill-Posed Problems
Journal of Inverse and Ill-Posed Problems MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.60
自引率
9.10%
发文量
48
审稿时长
>12 weeks
期刊介绍: This journal aims to present original articles on the theory, numerics and applications of inverse and ill-posed problems. These inverse and ill-posed problems arise in mathematical physics and mathematical analysis, geophysics, acoustics, electrodynamics, tomography, medicine, ecology, financial mathematics etc. Articles on the construction and justification of new numerical algorithms of inverse problem solutions are also published. Issues of the Journal of Inverse and Ill-Posed Problems contain high quality papers which have an innovative approach and topical interest. The following topics are covered: Inverse problems existence and uniqueness theorems stability estimates optimization and identification problems numerical methods Ill-posed problems regularization theory operator equations integral geometry Applications inverse problems in geophysics, electrodynamics and acoustics inverse problems in ecology inverse and ill-posed problems in medicine mathematical problems of tomography
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