Published online by Cambridge University Press: 24 April 2025
In Chapter 10 we consider Markov chains with asymptotically constant (non-zero) drift. As shown in the previous chapter, the more slowly they to zero, the higher are the moments that should behave regularly at infinity. This is needed to make it possible to describe the asymptotic tail behaviour of the invariant measure. Therefore, it is not surprising that in the case of an asymptotically negative drift bounded away from zero we need to assume that the distribution of jumps converges weakly at infinity. This corresponds, roughly speaking, to the assumption that all moments behave regularly at infinity. In this chapter we slightly extend the notion of an asymptotically homogeneous Markov chain by allowing extended limiting random variables.
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