{"title":"Spatially semi-discretely uniformly exponential stability approximation for one-dimensional thermoelastic system","authors":"Jiankang Liu, Bao-Zhu Guo","doi":"10.1007/s10444-026-10298-4","DOIUrl":null,"url":null,"abstract":"<div><p>This paper investigates the uniformly exponential stability of a spatially semi-discrete finite difference scheme for a one-dimensional thermoelastic system. The frequency domain approach is employed due to the difficulty of constructing a suitable time-domain multiplier for the continuous system. A novel semi-discrete finite difference scheme is developed using the order-reduction method. The uniform exponential stability of the resulting semi-discrete system is then established through a discrete counterpart of the frequency domain method.</p></div>","PeriodicalId":50869,"journal":{"name":"Advances in Computational Mathematics","volume":"52 2","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10444-026-10298-4","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates the uniformly exponential stability of a spatially semi-discrete finite difference scheme for a one-dimensional thermoelastic system. The frequency domain approach is employed due to the difficulty of constructing a suitable time-domain multiplier for the continuous system. A novel semi-discrete finite difference scheme is developed using the order-reduction method. The uniform exponential stability of the resulting semi-discrete system is then established through a discrete counterpart of the frequency domain method.
期刊介绍:
Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis.
This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.