Fluctuation analysis for particle-based stochastic reaction-diffusion models
Date Issued
2022-06Publisher Version
10.48550/arXiv.2206.1081910.1016/j.spa.2023.104234
Author(s)
Heldman, Max
Isaacson, Samuel
Ma, Jingwei
Spiliopoulos, Konstantinos
Metadata
Show full item recordPermanent Link
https://hdl.handle.net/2144/46561OA Version
First author draft
Citation (published version)
M. Heldman, S. Isaacson, J. Ma, K. Spiliopoulos. 2022. "Fluctuation analysis for particle-based stochastic reaction-diffusion models" https://doi.org/10.48550/arXiv.2206.10819Abstract
Recent works have derived and proven the large-population mean-field limit for several classes of
particle-based stochastic reaction-diffusion (PBSRD) models. These limits correspond to systems of partial integral-differential equations (PIDEs) that generalize standard mass-action reaction-diffusion PDE models. In this work we derive and prove the next order fluctuation corrections to such limits, which we show satisfy systems of stochastic PIDEs with Gaussian noise. Numerical examples are presented to illustrate how including the fluctuation corrections can enable the accurate estimation of higher order statistics of the underlying PBSRD model.
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