Abstract
The Markov evolution is studied of an infinite age-structured population of migrants arriving in and departing from a continuous habitat $X \subseteq\mathds{R}^d$ -- at random and independently of each other. Each population member is characterized by its age (time of presence in the population) and location . The population states are probability measures on the space of the corresponding marked configurations. The result of the paper is constructing the evolution of such states by solving a standard Fokker-Planck equation for this models. We also found a stationary state existing if the emigration rate is separated away from zero. It is then shown that weakly converges to as .
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