Anomalous processes with general waiting times: functionals and multi-point structure
Andrea Cairoli, Adrian Baule

TL;DR
This paper studies complex anomalous diffusion processes with general waiting times, providing a comprehensive characterization including functionals and multi-point correlations, useful for analyzing experimental data.
Contribution
It introduces a framework for generalized anomalous diffusion processes with arbitrary waiting time distributions, including analytical expressions for correlation functions.
Findings
Derived closed-form two-point correlation functions.
Captured crossover between different scaling regimes.
Provided a representation linking to normal diffusive processes.
Abstract
Many transport processes in nature exhibit anomalous diffusive properties with non-trivial scaling of the mean square displacement, e.g., diffusion of cells or of biomolecules inside the cell nucleus, where typically a crossover between different scaling regimes appears over time. Here, we investigate a class of anomalous diffusion processes that is able to capture such complex dynamics by virtue of a general waiting time distribution. We obtain a complete characterization of such generalized anomalous processes, including their functionals and multi-point structure, using a representation in terms of a normal diffusive process plus a stochastic time change. In particular, we derive analytical closed form expressions for the two-point correlation functions, which can be readily compared with experimental data.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
