scholarly journals Diffusion limit and the optimal convergence rate of the Vlasov-Poisson-Fokker-Planck system

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Mingying Zhong

<p style='text-indent:20px;'>In the present paper, we study the diffusion limit of the classical solution to the Vlasov-Poisson-Fokker-Planck (VPFP) system with initial data near a global Maxwellian. We prove the convergence and establish the optimal convergence rate of the global strong solution to the VPFP system towards the solution to the drift-diffusion-Poisson system based on the spectral analysis with precise estimation on the initial layer.</p>

2019 ◽  
Vol 99 (1) ◽  
pp. 91-94
Author(s):  
A. V. Gasnikov ◽  
E. A. Gorbunov ◽  
D. A. Kovalev ◽  
A. A. M. Mokhammed ◽  
E. O. Chernousova

2018 ◽  
Vol 08 (01) ◽  
pp. 1950003
Author(s):  
Guangren Yang ◽  
Xia Cui

In this paper, we will propose two new estimators for sparse covariance matrix. Our starting point is to make the estimator of each element of covariance matrix more robust. More precisely, we will trim the observations for each pairwise product of components of population as a first step. Then we form the sample covariance matrices based on the trimmed data. Finally, we apply the thresholding to the derived sample covariance matrices. These two new estimators will be shown to achieve the optimal convergence rate.


2013 ◽  
Vol 51 (2) ◽  
pp. 1327-1348 ◽  
Author(s):  
M. Feischl ◽  
M. Karkulik ◽  
J. M. Melenk ◽  
D. Praetorius

Sign in / Sign up

Export Citation Format

Share Document