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Kinetic time-inhomogeneous Lévy-driven model


We study a one-dimensional kinetic stochastic model driven by a Lévy process with a non-linear time-inhomogeneous drift. More precisely, the process $(V,X)$ is considered, where $X$ is the position of the particle and its velocity $V$ is the solution of a stochastic differential equation with a drift of the form $t^{-\beta}F(v)$. The driving process can be a stable Lévy process of index $\alpha$ or a general Lévy process under appropriate assumptions. The function $F$ satisfies a homogeneity condition and $\beta$ is non-negative. The behavior in large time of the process $(V,X)$ is proved and the precise rate of convergence is pointed out by using stochastic analysis tools. To this end, we compute the moment estimates of the velocity process.
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Dates and versions

hal-03478268 , version 1 (13-12-2021)
hal-03478268 , version 2 (28-01-2022)
hal-03478268 , version 3 (21-04-2022)



Mihai Gradinaru, Emeline Luirard. Kinetic time-inhomogeneous Lévy-driven model. 2022. ⟨hal-03478268v3⟩
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