The role of slow manifolds in parameter estimation for a multiscale stochastic system with α-stable Lévy noise

2020 ◽  
Vol 61 (7) ◽  
pp. 072701
Author(s):  
Ying Chao ◽  
Pingyuan Wei ◽  
Jinqiao Duan

2019 ◽  
Vol 60 (9) ◽  
pp. 091501
Author(s):  
Hina Zulfiqar ◽  
Shenglan Yuan ◽  
Ziying He ◽  
Jinqiao Duan


2017 ◽  
Vol 2017 (11) ◽  
pp. 113401 ◽  
Author(s):  
Yanjie Zhang ◽  
Zhuan Cheng ◽  
Xinyong Zhang ◽  
Xiaoli Chen ◽  
Jinqiao Duan ◽  
...  




2007 ◽  
Vol 75 (4) ◽  
Author(s):  
Aleksei V. Chechkin ◽  
Oleksii Yu. Sliusarenko ◽  
Ralf Metzler ◽  
Joseph Klafter


2019 ◽  
Vol 17 (03) ◽  
pp. 477-511 ◽  
Author(s):  
Shenglan Yuan ◽  
Jianyu Hu ◽  
Xianming Liu ◽  
Jinqiao Duan

This work is concerned with the dynamics of a class of slow–fast stochastic dynamical systems driven by non-Gaussian stable Lévy noise with a scale parameter. Slow manifolds with exponentially tracking property are constructed, and then we eliminate the fast variables to reduce the dimensions of these stochastic dynamical systems. It is shown that as the scale parameter tends to zero, the slow manifolds converge to critical manifolds in distribution, which helps to investigate long time dynamics. The approximations of slow manifolds with error estimate in distribution are also established. Furthermore, we corroborate these results by three examples from biological sciences.



2020 ◽  
Vol 36 (4) ◽  
pp. 443-461
Author(s):  
Guang Jun Shen ◽  
Qing Bo Wang ◽  
Xiu Wei Yin


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