# Kinetic Ising models with various single-spin flip dynamics on quenched   and annealed random regular graphs

**Authors:** Arkadiusz J\k{e}drzejewski, Anna Chmiel, Katarzyna Sznajd-Weron

arXiv: 1703.03602 · 2017-07-26

## TL;DR

This study examines how different single-spin flip dynamics affect the behavior of kinetic Ising models on quenched and annealed random regular graphs, revealing that some dynamics are more robust to disorder than others.

## Contribution

It compares the effects of various single-spin flip algorithms on Ising models in quenched and annealed networks, highlighting differences in steady states and phase transition types.

## Key findings

- On quenched graphs, all algorithms produce identical results.
- Annealed graphs cause different dynamics to lead to distinct steady states.
- Some algorithms are resistant to annealed disorder, showing only small quantitative changes.

## Abstract

We investigate a kinetic Ising model with several single-spin flip dynamics (including Metropolis and heat-bath) on quenched and annealed random regular graphs. As expected, on the quenched structures all proposed algorithms reproduce the same results since the conditions for the detailed balance and the Boltzmann distribution in an equilibrium are satisfied. However, on the annealed graphs situation is far less clear -- the network annealing disturbs the equilibrium moving the system away from it. Consequently, distinct dynamics lead to different steady states. We show that some algorithms are more resistant to the annealed disorder, which causes only small quantitative changes in the model behavior. On the other hand, there are dynamics for which the influence of annealing on the system is significant, and qualitative changes arise like switching the type of phase transition from continuous to discontinuous one. We try to identify features of the proposed dynamics which are responsible for the above phenomenon.

## Full text

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## Figures

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## References

36 references — full list in the complete paper: https://tomesphere.com/paper/1703.03602/full.md

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Source: https://tomesphere.com/paper/1703.03602