Abstract
We consider the self-organized kinetic model (SOK), which was derived as the mean field limit of the Couzin-Vicsek algorithm. This model yields a singularity when the particle flux vanishes. By showing that the singularity does not happen in finite time, we obtain local existence and uniqueness of smooth solutions to SOK. Furthermore, considering uncertainties in the initial data and in the interaction kernel, we analyze the random SOK model (RSOK). We provide local sensitivity analysis to justify the regularity with respect to the random parameter and the stability of solutions to RSOK.
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Acknowledgements
Ning Jiang was supported by, respectively, the National Natural Science Foundation of China (Grant Nos. 11971360 and 11731008), and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA25010404). The research of Z. Zhang was supported by the grant from the National Natural Science Foundation of China under contract No. 11801425 and by the Fundamental Research Funds for the Central Universities (WUT:2019IVB043,2020IB020). The authors thank the referees for their valuable comments and suggestions.
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Jiang, N., Zhang, Z. Local Well-Posedness and Sensitivity Analysis for the Self-Organized Kinetic Model. Acta Appl Math 176, 12 (2021). https://doi.org/10.1007/s10440-021-00457-8
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DOI: https://doi.org/10.1007/s10440-021-00457-8
Keywords
- Self-organized kinetic model
- Nonlinear Fokker-Planck equation
- Uncertainty quantification
- Local existence
- Local sensitivity analysis