We consider a discrete-time two-dimensional process on with a background process on a finite set , where individual processes and are both skip free. We assume that the joint process is Markovian and that the transition probabilities of the two-dimensional process vary according to the state of the background process . This modulation is assumed to be space homogeneous. We refer to this process as a two-dimensional skip-free Markov modulate random walk. For $\boldsymbol{Y}, \boldsymbol{Y}‘\in +^2\times S_0{\boldsymbol{Y}n}{n\ge 0}\boldsymbol{Y}$ and let be the expected number of visits to the state before the process leaves the nonnegative area for the first time. For , the measure $(\tilde{q}{\boldsymbol{Y},\boldsymbol{Y}’}; \boldsymbol{Y}‘=(x_1’,x_2’,j’)\in _+^2\times S_0)$ is called an occupation measure. Our main aim is to obtain asymptotic decay rate of the occupation measure as the values of and go to infinity in a given direction. We also obtain the convergence domain of the matrix moment generating function of the occupation measures.

生成讲解博客的中文版本

生成AI智能校验的中文版本