用carleman收缩原理重构非线性双曲方程的势

Dinh-Liem Nguyen, L. Nguyen, TrungDung Truong
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引用次数: 5

摘要

本文提出了一种有效且收敛的数值方法,用于求解侧向柯西数据中非线性双曲方程势的反问题。在我们的数值方法中,我们构造了一个线性柯西问题序列,其对应的解收敛于一个函数,该函数可用于有效地计算感兴趣的反问题的近似解。结合收缩原理和Carleman估计建立了收敛性分析。利用拟可逆性方法对线性柯西问题进行了数值求解。数值算例说明了该方法的有效性。
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The Carleman-based contraction principle to reconstruct the potential of nonlinear hyperbolic equations
We develop an efficient and convergent numerical method for solving the inverse problem of determining the potential of nonlinear hyperbolic equations from lateral Cauchy data. In our numerical method we construct a sequence of linear Cauchy problems whose corresponding solutions converge to a function that can be used to efficiently compute an approximate solution to the inverse problem of interest. The convergence analysis is established by combining the contraction principle and Carleman estimates. We numerically solve the linear Cauchy problems using a quasi-reversibility method. Numerical examples are presented to illustrate the efficiency of the method.
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