Necessary and sufficient conditions for existence of stationary solutions of some nonlinear stochastic systems

1990 ◽  
Vol 1 (1) ◽  
pp. 75-90
Author(s):  
W. V. Wedig ◽  
Y. K. Lin ◽  
G. Q. Cai
2011 ◽  
Vol 43 (3) ◽  
pp. 688-711 ◽  
Author(s):  
Anita Diana Behme

For a given bivariate Lévy process (Ut, Lt)t≥0, distributional properties of the stationary solutions of the stochastic differential equation dVt = Vt-dUt + dLt are analysed. In particular, the expectation and autocorrelation function are obtained in terms of the process (U, L) and in several cases of interest the tail behavior is described. In the case where U has jumps of size −1, necessary and sufficient conditions for the law of the solutions to be (absolutely) continuous are given.


2011 ◽  
Vol 43 (03) ◽  
pp. 688-711
Author(s):  
Anita Diana Behme

For a given bivariate Lévy process (U t , L t ) t≥0, distributional properties of the stationary solutions of the stochastic differential equation dV t = V t-dU t + dL t are analysed. In particular, the expectation and autocorrelation function are obtained in terms of the process (U, L) and in several cases of interest the tail behavior is described. In the case where U has jumps of size −1, necessary and sufficient conditions for the law of the solutions to be (absolutely) continuous are given.


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