4.7 Article

Caustic Frequency in 2D Stochastic Flows Modeling Turbulence

Journal

MATHEMATICS
Volume 9, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/math9080797

Keywords

stochastic flows; inertial particles; caustics; Lagrangian stochastic models

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The study focuses on stochastic flows mimicking 2D turbulence in compressible media, analyzing collision frequency and conditions for caustic occurrence. By deriving a system of nonlinear stochastic differential equations involving the Jacobian and simplifying it, upper and lower bounds for the mean number of caustics are found, with verification of exact asymptotic for small Stokes numbers. Rigorous proofs of well-known expressions for caustic frequency and Lyapunov exponent in the one-dimensional model are also provided.
Stochastic flows mimicking 2D turbulence in compressible media are considered. Particles driven by such flows can collide and we study the collision (caustic) frequency. Caustics occur when the Jacobian of a flow vanishes. First, a system of nonlinear stochastic differential equations involving the Jacobian is derived and reduced to a smaller number of unknowns. Then, for special cases of the stochastic forcing, upper and lower bounds are found for the mean number of caustics as a function of Stokes number. The bounds yield an exact asymptotic for small Stokes numbers. The efficiency of the bounds is verified numerically. As auxiliary results we give rigorous proofs of the well known expressions for the caustic frequency and Lyapunov exponent in the one-dimensional model. Our findings may also be used for estimating the mean time when a 2D Riemann type partial differential equation with a stochastic forcing loses uniqueness of solutions.

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