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Global well-posedness of the stochastic electrokinetic flow with the mixed boundary conditions

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Veröffentlicht/Copyright: 23. Juli 2025

Abstract

We investigate the stochastic electrokinetic flow modelled by a stochastic Nernst–Planck–Navier–Stokes system with a blocking boundary condition for ionic species concentrations in a smooth bounded domain 𝒟. In both 2 D and 3 D cases, we establish the global existence of weak martingale solutions when the capacitance ς > 0 , and also establish the existence of a unique maximal strong pathwise solution when the capacitance ς = 0 . Moreover, by a probability estimate, we build the blow-up criterion. We finally show that the maximal pathwise solution is global in the 2 D case without the restriction of smallness of initial data. In particular, the mixed boundary condition and the random effect bring essential difficulties in constructing approximate solutions and obtaining the a priori estimates which are totally different from the deterministic case. We develop the L 1 -energy conservation and the linearization techniques to overcome these difficulties.

MSC 2020: 35Q35; 76D05; 35R60; 35A01

Award Identifier / Grant number: 12401305

Award Identifier / Grant number: 12471208

Award Identifier / Grant number: BK20240721

Award Identifier / Grant number: CSTB2023NSCQ-MSX0396

Funding statement: Zhaoyang Qiu is supported by the National Natural Science Foundation of China (Grant No. 12401305), the National Science Foundation for Colleges and Universities in Jiangsu Province (Grant No. 24KJB110011) and the National Science Foundation of Jiangsu Province (Grant No. BK20240721). Huaqiao Wang is supported by the National Natural Science Foundation of China (Grant No. 12471208), the Natural Science Foundation of Chongqing (Grant No. CSTB2023NSCQ-MSX0396).

Acknowledgements

We would like to thank the referee for the valuable suggestions and comments on the manuscript.

  1. Communicated by: Guozhen Lu

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Received: 2023-11-07
Revised: 2024-05-30
Published Online: 2025-07-23
Published in Print: 2026-01-01

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