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INVERSION METHOD USING SPECTRAL DECOMPOSITION OF GREEN'S FUNCTION

机译:格林函数谱分解的反演方法

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摘要

An inverse analysis method using the spectral decomposition of Green's function is proposed. For linear inverse problems of identifying inner sources from surface responses, Green's function, which is a solution of the corresponding physical problem, relates the sources to the responses and hence behaves as a compact operator. A suitable inverse operator that maps the responses to the sources can be determined by using the spectral decomposition of Green's function. The proposed method numerically computes the spectral decomposition and determines the inverse operator. It is possible to regard a simple inverse analysis method, which uses a point-wise discretization of Green's function and computes a generalized inverse matrix using the singular-value decomposition, as an approximation to compute the inverse operator. The accuracy, however, could be much lower than the proposed method, because of the point-wise discretization and the less accurate computation of the spectral decomposition. Illustrative examples are solved to demonstrate the usefulness of the proposed inverse analysis method, as well as errors inherent to inverse analysis methods which do not compute the spectral decomposition of Green's function properly.
机译:提出了一种利用格林函数谱分解的逆分析方法。对于根据表面响应识别内部源的线性反问题,格林函数(是相应物理问题的一种解决方案)将源与响应相关联,因此表现为紧凑算符。可以通过使用格林函数的频谱分解来确定将响应映射到源的合适的逆算子。所提出的方法通过数值计算频谱分解并确定逆算子。可以考虑一种简单的逆分析方法,该方法使用格林函数的逐点离散化,并使用奇异值分解来计算广义逆矩阵,作为近似值来计算逆算子。但是,由于逐点离散化和频谱分解的较不精确计算,其准确性可能远低于所提出的方法。解决了说明性示例,以证明所提出的逆分析方法的有用性,以及逆分析方法固有的错误,这些错误无法正确计算格林函数的频谱分解。

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