2007Inverse ProblemsRequires access

Isospectral sets and inverse problems for vector-valued Sturm–Liouville equations

Chung‐Tsun Shieh

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Abstract

In this paper, we investigate inverse spectral problems for vectorial Sturm–Liouville equations via the matrix-valued Gelfand–Levitan equation. With this approach, we prove some uniqueness theorems for the even problem, mixed data problem and interior spectral data problem for vectorial Sturm–Liouville equations.

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What this paper is about

In this paper, we investigate inverse spectral problems for vectorial Sturm–Liouville equations via the matrix-valued Gelfand–Levitan equation. With this approach, we prove some uniqueness theorems for the even problem, mixed data problem and interior spectral data problem for vectorial Sturm–Liouville equations.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we investigate inverse spectral problems for vectorial Sturm–Liouville equations via the matrix-valued Gelfand–Levitan equation. With this approach, we prove some uniqueness theorems for the even problem, mixed data problem and interior spectral data problem for vectorial Sturm–Liouville equations.

Key concepts: Sturm–Liouville theory, Mathematics, Isospectral, Uniqueness, Inverse problem, Inverse, Mathematical analysis, Applied mathematics

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