Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains

Research output: Contribution to conferencePosterResearchpeer-review

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Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. / Wang, Wei; Zhai, Jianliang ; Zhang, Tusheng .
2022. 3479 Poster session presented at Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Germany.

Research output: Contribution to conferencePosterResearchpeer-review

Harvard

Wang, W, Zhai, J & Zhang, T 2022, 'Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains', Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Germany, 17/06/24 - 21/06/24 pp. 3479.

APA

Wang, W., Zhai, J., & Zhang, T. (2022). Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. 3479. Poster session presented at Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Germany.

Vancouver

Wang W, Zhai J, Zhang T. Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. 2022. Poster session presented at Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Germany.

Author

Wang, Wei ; Zhai, Jianliang ; Zhang, Tusheng . / Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. Poster session presented at Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Germany.3498 p.

Bibtex - Download

@conference{b354d6f040ee48d881da4d5edf4d510e,
title = "Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains",
abstract = "A Freidlin-Wentzell-type large deviation principle is established for 2D stochastic Navier-Stokes equations on time-dependent domains driven by Brownian motion, which captures situations where the regions of the fluid change with time.",
keywords = "Navier-Stokes equations, Girsanov theorem",
author = "Wei Wang and Jianliang Zhai and Tusheng Zhang",
note = "Wang hat das Poster gemacht. Dieses wurde pr{\"a}sentiert. Das Paper auf welchem das Poster gr{\"u}ndet, ist nicht {\"o}ffentlich zug{\"a}nglich. ; Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory ; Conference date: 17-06-2024 Through 21-06-2024",
year = "2022",
month = oct,
day = "15",
language = "English",
pages = "3479",
url = "https://www.sfb1283.uni-bielefeld.de/2024_MFT/",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains

AU - Wang, Wei

AU - Zhai, Jianliang

AU - Zhang, Tusheng

N1 - Wang hat das Poster gemacht. Dieses wurde präsentiert. Das Paper auf welchem das Poster gründet, ist nicht öffentlich zugänglich.

PY - 2022/10/15

Y1 - 2022/10/15

N2 - A Freidlin-Wentzell-type large deviation principle is established for 2D stochastic Navier-Stokes equations on time-dependent domains driven by Brownian motion, which captures situations where the regions of the fluid change with time.

AB - A Freidlin-Wentzell-type large deviation principle is established for 2D stochastic Navier-Stokes equations on time-dependent domains driven by Brownian motion, which captures situations where the regions of the fluid change with time.

KW - Navier-Stokes equations

KW - Girsanov theorem

UR - https://www.aimsciences.org/article/doi/10.3934/cpaa.2022111

M3 - Poster

SP - 3479

T2 - Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory

Y2 - 17 June 2024 through 21 June 2024

ER -