Abstract
We consider numerical modeling of the Farley-Buneman instability in the Earth's ionosphere plasma. The ion behavior is governed by the kinetic Vlasov equation with the BGK collisional term in the four-dimensional phase space, and since the finite difference discretization on a tensor product grid is used, this equation becomes the most computationally challenging part of the scheme. To relax the complexity and memory consumption, an adaptive model reduction using the low-rank separation of variables, namely the Tensor Train format, is employed.The approach was verified via a prototype MATLAB implementation. Numerical experiments demonstrate the possibility of efficient separation of space and velocity variables, resulting in the solution storage reduction by a factor of order tens.
Original language | English |
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Pages (from-to) | 268-282 |
Number of pages | 15 |
Journal | Journal of Computational Physics |
Volume | 263 |
Early online date | 22 Jan 2014 |
DOIs | |
Publication status | Published - 15 Apr 2014 |
Bibliographical note
Funding Information:This work was partially supported by RFBR Grants 13-01-12061 (ofi-m-2013) , 12-01-91333 (nnio-a) , 11-01-00549-a , 12-01-33013 (mol-a-ved) , 12-01-31056 , Government Contracts 16.740.12.0727, Π1112, 8500, support programmes of the RAS Presidium and RAS Department of Mathematical Sciences and the Stipend of President of Russia .
Keywords
- DMRG
- High-dimensional problems
- Hybrid methods
- Ionospheric irregularities
- MPS
- Plasma waves and instabilities
- Tensor train format
- Vlasov equation
ASJC Scopus subject areas
- Numerical Analysis
- Modelling and Simulation
- Physics and Astronomy (miscellaneous)
- General Physics and Astronomy
- Computer Science Applications
- Computational Mathematics
- Applied Mathematics