On the Prony Series Representation of Stretched Exponential Relaxation
John C. Mauro, Yihong Z. Mauro

TL;DR
This paper provides a detailed mathematical analysis of representing stretched exponential relaxation in glasses using Prony series, highlighting its accuracy, limitations, and physical implications for modeling glass relaxation.
Contribution
It offers optimized coefficients and analysis for Prony series approximation of stretched exponential functions, including their accuracy and limitations.
Findings
Prony series can accurately approximate stretched exponential decay with enough terms.
The approximation captures long-time behavior but not the initial divergence.
Frequency-domain analysis reveals physical insights into glass relaxation.
Abstract
Stretched exponential relaxation is a ubiquitous feature of homogeneous glasses. The stretched exponential decay function can be derived from the diffusion-trap model, which predicts certain critical values of the fractional stretching exponent. In practical implementations of glass relaxation models, it is computationally convenient to represent the stretched exponential function as a Prony series of simple exponentials. Here, we perform a comprehensive mathematical analysis of the Prony series approximation of the stretched exponential relaxation, including optimized coefficients for certain critical values of the exponent. The fitting quality of the Prony series is analyzed as a function of the number of terms in the series. With a sufficient number of terms, the Prony series can accurately capture the time evolution of the stretched exponential function, including its "fat tail" at…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
