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020 ▼a 9781392404317
035 ▼a (MiAaPQ)AAI13858858
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 510
1001 ▼a Cooper, Eric.
24510 ▼a Selection of Quasi-Stationary States in the 2D Navier-Stokes Equation on the Torus.
260 ▼a [S.l.]: ▼b Boston University., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 115 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
500 ▼a Advisor: Beck, Margaret A.
5021 ▼a Thesis (Ph.D.)--Boston University, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a We consider the two-dimensional Navier-Stokes equation on the (possibly) asymmetric torus, $D_{\\delta}=[0,2\\pi\\delta]\imes[0,2\\pi]$, both with and without stochastic forcing. Absent external force, the vorticity is known to reach a rest state of zero. There exists at least three so called ``quasi-stationary states'' which attract nearby solutions at rates faster than the global decay rate. The system evolves toward one of these three qualitatively different transient states for long times while the system overall tends toward the final rest state. We develop a finite-dimensional model of the associated deterministic vorticity equation to show how the selection of the dominant quasi-stationary state depends on the aspect ratio of the domain, given by $\\delta$. This is followed by formal analysis of the problem as a perturbation from the symmetric domain. Once the selection mechanism for the deterministic model is characterized, stochastic forcing is added to the reduced system. Numerical analysis shows the dominant quasi-stationary state is consistent with what is seen in the deterministic setting. Finally through multiscale averaging methods, the leading order dynamics of the stochastically forced finite-dimensional model for $\\delta$ close to one is studied. As a result we formally obtain leading order asymptotics of statistics of interest, including the selection mechanism.
590 ▼a School code: 0017.
650 4 ▼a Mathematics.
690 ▼a 0405
71020 ▼a Boston University. ▼b Mathematics & Statistics GRS.
7730 ▼t Dissertations Abstracts International ▼g 81-05B.
773 ▼t Dissertation Abstract International
790 ▼a 0017
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15490872 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1816162
991 ▼a E-BOOK