Random Walk Approach to Simple Evolution Model
L. Anton

TL;DR
This paper models the avalanche width evolution in a self-organized criticality system using a random walk approach, deriving critical exponents and identifying the critical point with numerical support.
Contribution
It introduces a random walk framework to analyze avalanche dynamics and determines critical exponents and the critical point in the evolution model.
Findings
Critical exponents match previous mean field results.
SOC appears at a critical parameter value of 2/3.
Numerical studies of continuous time random walks support the model.
Abstract
The dynamics of the avalanche width in the evolution model is described using a random walk picture. In this approach the critical exponents for avalanche distribution, , and avalanche average time, , are found to be the same as in the previous mean field approximation but SOC appear at , which is very close to numerical value. A continuous time random walk is studied numerically as a possible way to reconstruct in simpler concepts the evolution model.
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.
Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · advanced mathematical theories
