Slowly Growing Poisson Processes
Poisson processes are used to model sparse and piecewise-smooth signals. They are pure jump processes characterized by the law of the jumps and the average density of knots. The properties of the law of the jumps is intimately linked with the asymptotic behavior of the process. The goal of this project is to prove that a Poisson process is slowly growing (that is, bounded by a polynomial) if and only if the law of jumps has some finite moment. This result has been proven very recently with advanced technics, but we aim now at obtaining a short and relatively elementary proof. The student should have strong mathematical interests, with basic knowledge on probability theory and functional analysis.
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