Self-organized branching processes: Avalanche models with dissipation
Kent B{\ae}kgaard Lauritsen (Niels Bohr Institute), Stefano Zapperi, (Boston Univ), and H. Eugene Stanley (Boston Univ)

TL;DR
This paper investigates how dissipation affects self-organized criticality in sandpile models, showing that dissipation drives the system into a subcritical state and alters critical behavior.
Contribution
It generalizes a self-organized branching process to include dissipation, revealing the shift from critical to subcritical states and analyzing the resulting critical exponents.
Findings
Dissipation causes the system to be subcritical rather than critical.
The critical exponents for avalanche size and lifetime are analytically derived.
Numerical studies confirm the analytical predictions.
Abstract
We explore in the mean-field approximation the robustness with respect to dissipation of self-organized criticality in sandpile models. To this end, we generalize a recently introduced self-organized branching process, and show that the model self-organizes not into a critical state but rather into a subcritical state: when dissipation is present, the dynamical fixed point does not coincide with the critical point. Thus the level of dissipation acts as a relevant parameter in the renormalization-group sense. We study the model numerically and compute analytically the critical exponents for the avalanche size and lifetime distributions and the scaling exponents for the corresponding cutoffs.
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.
