Characteristic function for the stationary state of a one-dimensional dynamical system with Levy noise

被引:12
作者
Samorodnitsky, G. [1 ]
Grigoriu, M. [1 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
关键词
diffusion with jumps; Levy white noise; characteristic function; stationary solution; Ito formula;
D O I
10.1007/s11232-007-0025-0
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We develop a practical method for calculating the characteristic function of diffusion processes driven by Levy, white noise. The method is based on the Ito formula for semimartingales, a differential equation developed for the characteristic function of diffusion processes driven by Poisson white noise with Jumps that may not have finite moments, and on approximate representations of the Levy white noise process. Numerical results show that the proposed method is very accurate and is consistent with previous theoretical findings.
引用
收藏
页码:332 / 346
页数:15
相关论文
共 12 条
[1]   Approximations of small jumps of Levy processes with a view towards simulation [J].
Asmussen, S ;
Rosinski, J .
JOURNAL OF APPLIED PROBABILITY, 2001, 38 (02) :482-493
[2]   Linear relaxation processes governed by fractional symmetric kinetic equations [J].
Chechkin, AV ;
Gonchar, VY .
JOURNAL OF EXPERIMENTAL AND THEORETICAL PHYSICS, 2000, 91 (03) :635-651
[3]  
Fournier N, 2002, BERNOULLI, V8, P537
[4]  
Gnedenko B.V., 1997, THEORY PROBABILITY
[5]   Stationary solutions of the fractional kinetic equation with a symmetric power-law potential [J].
Gonchar, VY ;
Tanatarov, LV ;
Chechkin, AV .
THEORETICAL AND MATHEMATICAL PHYSICS, 2002, 131 (01) :582-594
[6]   Characteristic function equations for the state of dynamic systems with Gaussian, Poisson, and Levy white noise [J].
Grigoriu, M .
PROBABILISTIC ENGINEERING MECHANICS, 2004, 19 (04) :449-461
[7]  
Grigoriu M, 2002, STOCHASTIC CALCULUS: APPLICATIONS IN SCIENCE AND ENGINEERING, P1
[8]  
Grigoriu M, 1995, Applied non-gaussian processes: examples, theory, simulation, linear random vibration, and MATLAB solutions
[9]   WEAK LIMIT-THEOREMS FOR STOCHASTIC INTEGRALS AND STOCHASTIC DIFFERENTIAL-EQUATIONS [J].
KURTZ, TG ;
PROTTER, P .
ANNALS OF PROBABILITY, 1991, 19 (03) :1035-1070
[10]  
Protter P., 1990, APPL MATH N Y, V21