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One Can Hear the Composition of a String: Experiments with an Inverse Eigenvalue Problem*

机译:一个人可以听到一个字符串的组成:一个反特征值问题的实验*

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摘要

To what extent do the vibrations of a mechanical system reveal its composition? Despite innumerable applications and mathematical elegance, this question often slips through those cracks that separate courses in mechanics, differential equations, and linear algebra. We address this omission by detailing a classical finite dimensional example: the use of frequencies of vibration to recover positions and masses of beads vibrating on a string. First we derive the equations of motion, then compare the eigenvalues of the resulting linearized model against vibration data measured from our laboratory's monochord. More challenging is the recovery of masses and positions of the beads from spectral data, a problem for which a variety of elegant algorithms exist. After presenting one such method based on orthogonal polynomials in a manner suitable for advanced undergraduates, we confirm its efficacy through physical experiment. We encourage readers to conduct their own explorations using the numerous data sets we provide.
机译:机械系统的振动在多大程度上揭示了其组成?尽管有无数的应用程序和数学上的优雅,但这个问题通常会贯穿那些将力学,微分方程和线性代数的课程分开的裂缝。我们通过详细介绍一个经典的有限尺寸示例来解决这一遗漏:使用振动频率来恢复在弦上振动的磁珠的位置和质量。首先,我们导出运动方程,然后将所得线性化模型的特征值与从实验室单弦测得的振动数据进行比较。更具挑战性的是从光谱数据中恢复磁珠的质量和位置,这一问题存在多种优雅的算法。在以适合高级本科生的方式介绍了一种基于正交多项式的方法之后,我们通过物理实验证实了其有效性。我们鼓励读者使用我们提供的大量数据集来进行自己的探索。

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