Algorithm for computing time correlation functions in non-stationary complex dynamic systems

Abstract For non-stationary complex dynamic systems, a standardized algorithm is developed to compute time correlation functions, addressing the limitations of traditional methods reliant on the stationary assumption. The proposed algorithm integrates two-point and multi-point time correlation functions into a unified framework. Further, it is verified by a practical application in complex financial systems, demonstrating its potential in various complex dynamic systems.

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Publication Details

Journal
Chinese Physics B
Published
2025-02-21
DOI
https://doi.org/10.1088/1674-1056/adb8bd
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Algorithm for computing time correlation functions in non-stationary complex dynamic systems

Cong Xu, Bo Zheng, Xiong-Fei Jiang, Jiu Zhang et al.
Chinese Physics B
Advanced Data Processing Techniques
article

Algorithm for computing time correlation functions in non-stationary complex dynamic systems

Cong Xu, Bo Zheng, Xiong-Fei Jiang, Jiu Zhang, Yanqing Hu, Tingting Chen, Lifu Jin
article en

Abstract

Abstract For non-stationary complex dynamic systems, a standardized algorithm is developed to compute time correlation functions, addressing the limitations of traditional methods reliant on the stationary assumption. The proposed algorithm integrates two-point and multi-point time correlation functions into a unified framework. Further, it is verified by a practical application in complex financial systems, demonstrating its potential in various complex dynamic systems.

Chinese Physics BVol. 34(3)
Ningbo University (CN), Wenzhou University (CN), Yunnan University (CN), Southern University of Science and Technology (CN), Wenzhou University of Technology, Zhejiang University of Finance and Economics (CN)
Openalex Percentile: Top 97%
Advanced Data Processing Techniques
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