Residential College | false |
Status | 已發表Published |
Functional Large Deviations for Kac–Stroock Approximation to a Class of Gaussian Processes with Application to Small Noise Diffusions | |
Hui, Jiang1; Lihu, Xu2,3; Qingshan, Yang4 | |
2024-11 | |
Source Publication | Journal of Theoretical Probability |
ISSN | 0894-9840 |
Volume | 37Pages:3015-3054 |
Abstract | In this paper, we establish the functional large deviation principle (LDP) for the Kac–Stroock approximations of a wild class of Gaussian processes constructed by telegraph types of integrals with L2-integrands under mild conditions and find the explicit form for their rate functions. Our investigation includes a broad range of kernels, such as those related to Brownian motions, fractional Brownian motions with whole Hurst parameters, and Ornstein–Uhlenbeck processes. Furthermore, we consider a class of non-Markovian stochastic differential equations driven by the Kac–Stroock approximation and establish their Freidlin–Wentzell type LDP. The rate function clearly indicates an interesting phase transition phenomenon as the approximating rate moves from one region to the other. |
DOI | 10.1007/s10959-024-01354-0 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Mathematics |
WOS Subject | Statistics & Probability |
WOS ID | WOS:001255155200001 |
Publisher | SPRINGER/PLENUM PUBLISHER, S233 SPRING ST, NEW YORK, NY 10013 |
Scopus ID | 2-s2.0-85197195871 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology DEPARTMENT OF MATHEMATICS |
Corresponding Author | Qingshan, Yang |
Affiliation | 1.School of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, China 2.Department of Mathematics, Faculty of Science and Technology, University of Macau, S.A.R., Macao 3.Zhuhai UM Science and Technology Research Institute, Zhuhai, China 4.KLAS, Key Laboratory of Big Data Analysis of Jilin Province, School of Mathematics and Statistics, Northeast Normal University, Changchun, China |
Recommended Citation GB/T 7714 | Hui, Jiang,Lihu, Xu,Qingshan, Yang. Functional Large Deviations for Kac–Stroock Approximation to a Class of Gaussian Processes with Application to Small Noise Diffusions[J]. Journal of Theoretical Probability, 2024, 37, 3015-3054. |
APA | Hui, Jiang., Lihu, Xu., & Qingshan, Yang (2024). Functional Large Deviations for Kac–Stroock Approximation to a Class of Gaussian Processes with Application to Small Noise Diffusions. Journal of Theoretical Probability, 37, 3015-3054. |
MLA | Hui, Jiang,et al."Functional Large Deviations for Kac–Stroock Approximation to a Class of Gaussian Processes with Application to Small Noise Diffusions".Journal of Theoretical Probability 37(2024):3015-3054. |
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