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Random difference equations with subexponential innovations 被引量:3

Random difference equations with subexponential innovations
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摘要 We consider the random difference equations S =_d(X + S)Y and T =_dX + TY, where =_ddenotes equality in distribution, X and Y are two nonnegative random variables, and S and T on the right hand side are independent of(X, Y). Under the assumptions that X follows a subexponential distribution with a nonzero lower Karamata index, that Y takes values in [0, 1] and is not degenerate at 0 or 1, and that(X, Y) fulfills a certain dependence structure via the conditional tail probability of X given Y, we derive some asymptotic formulas for the tail probabilities of the weak solutions S and T to these equations. In doing so we also obtain some by products which are interesting in their own right. We consider the random difference equations S =_d(X + S)Y and T =_dX + TY, where =_ddenotes equality in distribution, X and Y are two nonnegative random variables, and S and T on the right hand side are independent of(X, Y). Under the assumptions that X follows a subexponential distribution with a nonzero lower Karamata index, that Y takes values in [0, 1] and is not degenerate at 0 or 1, and that(X, Y) fulfills a certain dependence structure via the conditional tail probability of X given Y, we derive some asymptotic formulas for the tail probabilities of the weak solutions S and T to these equations. In doing so we also obtain some by products which are interesting in their own right.
出处 《Science China Mathematics》 SCIE CSCD 2016年第12期2411-2426,共16页 中国科学:数学(英文版)
基金 supported by the National Science Foundation of the United States (Grant No. CMMI-1435864)
关键词 asymptotics Karamata index long tail random difference equation subexponentiality tail probability uniformity asymptotics;Karamata 索引;长尾巴;随机的差别方程;subexponentiality;跟踪概率;一致性;
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