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

Publikationen: KonferenzbeitragPosterForschung(peer-reviewed)

Standard

Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. / Wang, Wei; Zhai, Jianliang ; Zhang, Tusheng .
2022. 3479 Postersitzung präsentiert bei Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Deutschland.

Publikationen: KonferenzbeitragPosterForschung(peer-reviewed)

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, Deutschland, 17/06/24 - 21/06/24 S. 3479.

APA

Wang, W., Zhai, J., & Zhang, T. (2022). Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. 3479. Postersitzung präsentiert bei Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Deutschland.

Vancouver

Wang W, Zhai J, Zhang T. Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. 2022. Postersitzung präsentiert bei Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Deutschland.

Author

Wang, Wei ; Zhai, Jianliang ; Zhang, Tusheng . / Large deviations for stochastic 2D Navier-Stokes equations on time-dependent domains. Postersitzung präsentiert bei Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory, Bielefeld, Deutschland.3498 S.

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 -