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On problems solved in a quasi-linear approximation
ID
Kos, Leon
(
Author
),
ID
Tskhakaya, David
(
Author
)
URL - Source URL, Visit
https://www.mdpi.com/2227-7390/14/6/960
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(274,39 KB)
MD5: D6856BC37CA972F4B697E9DD6B67651C
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Abstract
The complete analytic solution of the time-dependent Vlasov–Boltzmann kinetic equation is used to describe selected problems in plasma physics within the framework of the quasi-linear approximation. These problems usually include the relaxation of plasma oscillations and the relaxation of beam instability. Our kinetic equation is a first-order partial differential equation. The method of characteristics allows us to solve it analytically, while fully preserving the entire time dependence. Using the obtained analytic expression for the distribution function, the paper shows that the indicated relaxation processes do not occur in the approximation considered.
Language:
English
Keywords:
quasi-linear theory
,
Vlasov equation
,
plasma oscillations
,
beam instability
,
analytic solution
,
collisionless plasma
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2026
Number of pages:
12 str.
Numbering:
Vol. 14, no. 6, art. 960
PID:
20.500.12556/RUL-181223
UDC:
51
ISSN on article:
2227-7390
DOI:
10.3390/math14060960
COBISS.SI-ID:
272477699
Publication date in RUL:
27.03.2026
Views:
203
Downloads:
91
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Record is a part of a journal
Title:
Mathematics
Shortened title:
Mathematics
Publisher:
MDPI AG
ISSN:
2227-7390
COBISS.SI-ID:
523267865
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0405-2019
Name:
Fuzijske tehnologije
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
J2-60053-2025
Name:
Optimizacijsko ogrodje pridružene in umetne inteligence za optimizacijo kompleksnih večfizikalne simulacijskih modelom (A2FOMS)
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