SMOLUCHOWSKI-KRAMERS APPROXIMATION WITH STATE DEPENDENT DAMPING AND HIGHLY RANDOM OSCILLATION
被引:2
作者:
Lv, Yan
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h-index: 0
机构:
Nanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R ChinaNanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R China
Lv, Yan
[1
]
Wang, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Univ, Dept Math, Nanjing, Peoples R ChinaNanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R China
Wang, Wei
[2
]
机构:
[1] Nanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R China
[2] Nanjing Univ, Dept Math, Nanjing, Peoples R China
来源:
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B
|
2023年
/
28卷
/
01期
关键词:
Smoluchowski-Kramers approximation;
stochastic differential equations;
state dependent friction;
random oscillation;
martingale;
WHITE-NOISE LIMITS;
DIFFUSION-APPROXIMATION;
D O I:
10.3934/dcdsb.2022086
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
The small mass limit (Smoluchowski-Kramers approximation) of class systems of ordinary differential equations describing motions of small mass particle with state dependent friction and high oscillation is derived by a diffusion approximation approach. In the small mass limit, due to the state dependent damping, one additional term appears in the limit equation, which leads to a stochastic differential equation (sDE) as the highly random oscillation appears as a multiplicative white noise.