The Levy diffusion as an effect of sporadic randomness
Mauro Bologna, Paolo Grigolini, Juri Riccardi

TL;DR
This paper explores Levy diffusion processes, emphasizing their basis in Markovian dynamics with sporadic randomness and the importance of memory erasure in their derivation.
Contribution
It provides a dynamic derivation of Levy diffusion processes highlighting the role of sporadic randomness and memory erasure within a Markovian framework.
Findings
Levy diffusion can be derived from Markov processes with sporadic randomness.
Memory erasure is crucial for the proper theoretical treatment of Levy diffusion.
The process relies on a source of randomness in microscopic dynamics.
Abstract
The Levy diffusion processes are a form of non ordinary statistical mechanics resting, however, on the conventional Markov property. As a consequence of this, their dynamic derivation is possible provided that (i) a source of randomness is present in the corresponding microscopic dynamics and (ii) that the consequent process of memory erasure is properly taken into account by the theoretical treatment.
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