REGULARLY VARYING FUNCTIONS IN PROBABILISTIC MODELS OF BRANCHING PROCESSES

Аннотация

We consider a discrete-time Galton-Vatson branching process. Our main analytical tool is the slow variation (or more generally, a regular variation) conception in the sense of Karamata. The slow variation property arises in many issues, but it usually remains rather hidden. Application of Karamata functions in the branching processes theory allows one to bypass severe constraints concerning the existence of the higher-order moments of the infinitesimal characteristics of the process under study. In this work, delving deeply like the Karamata functions, we study more subtle properties of branching processes. Keywords: discrete-time branching process, transition functions, state space classification, generating functions, slowly varying function.