Noise-driven Synchronization of Vicsek Model in Mean
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916645574803456 |
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| author | Su, Wei Yu, Yongguang Chen, Ge |
| author_facet | Su, Wei Yu, Yongguang Chen, Ge |
| contents | The Vicsek model has long stood as a pivotal framework in exploring collective behavior and self-organization, captivating the scientific community with its compelling dynamics. However, understanding how noise influences synchronization within this model and its associated phase transition characteristics has presented significant challenges. While numerous studies have focused on simulations due to the model's mathematical complexity, comprehensive theoretical analyses remain sparse. In this paper, we deliver a rigorous mathematical proof demonstrating that for any initial configuration of the Vicsek model, there exists a bound on noise amplitude such that if the noise amplitude is maintained within this bound, the system will achieve synchronization in mean. This finding not only lays a solid mathematical groundwork for the Vicsek model's phase transition theory but also underscores the critical role of noise in collective dynamics, enhancing our understanding of self-organizing systems in stochastic environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_13993 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Noise-driven Synchronization of Vicsek Model in Mean Su, Wei Yu, Yongguang Chen, Ge Mathematical Physics Dynamical Systems Optimization and Control Adaptation and Self-Organizing Systems The Vicsek model has long stood as a pivotal framework in exploring collective behavior and self-organization, captivating the scientific community with its compelling dynamics. However, understanding how noise influences synchronization within this model and its associated phase transition characteristics has presented significant challenges. While numerous studies have focused on simulations due to the model's mathematical complexity, comprehensive theoretical analyses remain sparse. In this paper, we deliver a rigorous mathematical proof demonstrating that for any initial configuration of the Vicsek model, there exists a bound on noise amplitude such that if the noise amplitude is maintained within this bound, the system will achieve synchronization in mean. This finding not only lays a solid mathematical groundwork for the Vicsek model's phase transition theory but also underscores the critical role of noise in collective dynamics, enhancing our understanding of self-organizing systems in stochastic environments. |
| title | Noise-driven Synchronization of Vicsek Model in Mean |
| topic | Mathematical Physics Dynamical Systems Optimization and Control Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2502.13993 |