本文借助逐段决定马氏过程(PDMP)广义生成算子理论,寻求求解PDMP期望折扣罚函数φ(u)的新方法,得到了推导φ(u)满足的(脉冲)积分微分方程通用的一种程式化方法.特别地,对连续时间复合二项风险模型,得到了φ(u)满足的一个迭代公式,并对索赔额服从几何分布的特例得到了破产概率的准确表达式.
This paper is intended to develop a new approach of deriving the (impulse) integro-differential equation, satisfied by the expected discounted penalty functionφ(u) for a piecewise deterministic Markov process (PDMP), by virtue of the theory of the extended generator for PDMPs, In particular, a recursive equation is obtained for the expected discounted penalty function at ruin in the continuous-time compound binomial model. Furthermore, an exact solution of ruin probability is got in the case of a geometrical individual claim amount distribution.