2021
DOI: 10.48550/arxiv.2106.13748
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Chaos in stochastic 2d Galerkin-Navier-Stokes

Abstract: We prove that all Galerkin truncations of the 2d stochastic Navier-Stokes equations in vorticity form on any rectangular torus subjected to hypoelliptic, additive stochastic forcing are chaotic at sufficiently small viscosity, provided the frequency truncation satisfies N ≥ 392. By "chaotic" we mean having a strictly positive Lyapunov exponent, i.e. almost-sure asymptotic exponential growth of the derivative with respect to generic initial conditions. A sufficient condition for such results was derived in prev… Show more

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Cited by 2 publications
(16 citation statements)
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“…In this article we will review existing work and our recent contributions [16,21] in proving that a given system of interest modeled by a stochastic differential equation is chaotic as in high sensitivity to initial conditions for trajectories initiated at Lebesgue-typical points in phase space. The specific systems we apply our methods to are the Lorenz-96 system [67] and Galerkin truncations of the 2d Navier-Stokes equations in a rectangular, periodic box (of any aspect ratio), provided they are subjected to sufficiently strong stochastic forcing 1 (equivalently, sufficiently weak damping) and are sufficiently high dimensional.…”
Section: Lyapunov Exponents For Stochastic Differential Equationsmentioning
confidence: 99%
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“…In this article we will review existing work and our recent contributions [16,21] in proving that a given system of interest modeled by a stochastic differential equation is chaotic as in high sensitivity to initial conditions for trajectories initiated at Lebesgue-typical points in phase space. The specific systems we apply our methods to are the Lorenz-96 system [67] and Galerkin truncations of the 2d Navier-Stokes equations in a rectangular, periodic box (of any aspect ratio), provided they are subjected to sufficiently strong stochastic forcing 1 (equivalently, sufficiently weak damping) and are sufficiently high dimensional.…”
Section: Lyapunov Exponents For Stochastic Differential Equationsmentioning
confidence: 99%
“…Section 2 concerns formulae of Lyapunov exponents through the stationary statistics of tangent directions and contains both classical results and our recent results from [16] which connects Lyapunov exponents to a certain Fisher information-type quantity. We discuss in Section 3 how to connect the Fisher information to regularity using ideas from hypoellipticity theory (also original work from [16]), and in Section 4 we discuss applications to a class of weakly-driven, weakly-dissipated SDE with bilinear nonlinear drift term (original work in [16] for Lorenz-96 and for Galerkin Navier-Stokes in [21]). In Section 5 we briefly discuss our earlier related work on Lagrangian chaos in the (infinite-dimensional) stochastic Navier-Stokes equations [17].…”
Section: Lyapunov Exponents For Stochastic Differential Equationsmentioning
confidence: 99%
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