{"title":"Harmonizable Nonstationary Processes","authors":"Mircea Grigoriu","doi":"10.1137/22m1544580","DOIUrl":null,"url":null,"abstract":"SIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 3, Page 842-867, September 2024. <br/> Abstract.Harmonizable processes can be represented by sums of harmonics with random coefficients, which are correlated rather than uncorrelated as for weakly stationary processes. Harmonizable processes are characterized in the second moment sense by their generalized spectral density functions. It is shown that harmonizable processes admit spectral representations and can be band limited and/or narrow band; samples of harmonizable Gaussian processes can be generated by algorithms similar to those used to generate samples of stationary Gaussian processes; accurate finite dimensional (FD) surrogates, i.e., deterministic functions of time and finite sets of random variables, can be constructed for harmonizable processes; and, under mild conditions, a broad range of nonstationary processes are harmonizable. Numerical illustrations, including various nonstationary processes and outputs of linear systems to random inputs, are presented to demonstrate the versatility of harmonizable processes.","PeriodicalId":56064,"journal":{"name":"Siam-Asa Journal on Uncertainty Quantification","volume":"10 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Siam-Asa Journal on Uncertainty Quantification","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1137/22m1544580","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
SIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 3, Page 842-867, September 2024. Abstract.Harmonizable processes can be represented by sums of harmonics with random coefficients, which are correlated rather than uncorrelated as for weakly stationary processes. Harmonizable processes are characterized in the second moment sense by their generalized spectral density functions. It is shown that harmonizable processes admit spectral representations and can be band limited and/or narrow band; samples of harmonizable Gaussian processes can be generated by algorithms similar to those used to generate samples of stationary Gaussian processes; accurate finite dimensional (FD) surrogates, i.e., deterministic functions of time and finite sets of random variables, can be constructed for harmonizable processes; and, under mild conditions, a broad range of nonstationary processes are harmonizable. Numerical illustrations, including various nonstationary processes and outputs of linear systems to random inputs, are presented to demonstrate the versatility of harmonizable processes.
期刊介绍:
SIAM/ASA Journal on Uncertainty Quantification (JUQ) publishes research articles presenting significant mathematical, statistical, algorithmic, and application advances in uncertainty quantification, defined as the interface of complex modeling of processes and data, especially characterizations of the uncertainties inherent in the use of such models. The journal also focuses on related fields such as sensitivity analysis, model validation, model calibration, data assimilation, and code verification. The journal also solicits papers describing new ideas that could lead to significant progress in methodology for uncertainty quantification as well as review articles on particular aspects. The journal is dedicated to nurturing synergistic interactions between the mathematical, statistical, computational, and applications communities involved in uncertainty quantification and related areas. JUQ is jointly offered by SIAM and the American Statistical Association.