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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.00507 |
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| _version_ | 1866917114014597120 |
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| author | Chen, Shuli de Hoop, Marrten V. Deng, Youjun Lin, Ching-Lung Nakamura, Gen |
| author_facet | Chen, Shuli de Hoop, Marrten V. Deng, Youjun Lin, Ching-Lung Nakamura, Gen |
| contents | The stretched exponential relaxation function is used to analyze the relaxation of the glassy state data. Due to the singularity of this function at the origin, this function is inconvenient for data analysis. Concerning this, a Prony series approximation of the stretched exponential relaxation function (J. Mauro, Y. Mauro, 2018), which is the extended Burgers model (abbreviated by EBM) known for viscoelasticity equations, was introduced. In our previous paper [arXiv:2509.16714], we gave an inversion method to identify the relaxation tensor of the EBM using clustered eigenvalues of the quasi-static EBM. As a next important research subject of this study, we numerically examine the performance of the inversion method. The performance reveals that it is a powerful method of data analysis, analyzing the relaxation of the glassy state data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_00507 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Inverse spectral problem for glassy state relaxation approximated by Prony series Chen, Shuli de Hoop, Marrten V. Deng, Youjun Lin, Ching-Lung Nakamura, Gen Numerical Analysis The stretched exponential relaxation function is used to analyze the relaxation of the glassy state data. Due to the singularity of this function at the origin, this function is inconvenient for data analysis. Concerning this, a Prony series approximation of the stretched exponential relaxation function (J. Mauro, Y. Mauro, 2018), which is the extended Burgers model (abbreviated by EBM) known for viscoelasticity equations, was introduced. In our previous paper [arXiv:2509.16714], we gave an inversion method to identify the relaxation tensor of the EBM using clustered eigenvalues of the quasi-static EBM. As a next important research subject of this study, we numerically examine the performance of the inversion method. The performance reveals that it is a powerful method of data analysis, analyzing the relaxation of the glassy state data. |
| title | Inverse spectral problem for glassy state relaxation approximated by Prony series |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2512.00507 |