Isospectral sets and inverse problems for vector-valued Sturm–Liouville equations
Chung‐Tsun Shieh
Abstract
Chung‐Tsun Shieh
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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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