Conjecture on scaling limits selecting viscosity solutions of Euler equations
Conjecture on scaling limits selecting viscosity solutions of Euler equations
Let be probability laws associated with sequences and , and suppose that is weakly convergent to a probability measure . Let denote the set of viscosity solutions of the Euler equations starting at the initial datum . Scaling-limit conjecture. The limit is a probability measure supported on .
Earlier compactness arguments show that subsequential limits are probability distributions on weak solutions of the deterministic Euler equations, but uniqueness is not known. The conjecture asserts that allowing the dimension parameter to vary together with the vanishing viscosity parameter selects viscosity solutions, a stronger conclusion than the general superposition-solution result.
Sources & referencesView supporting material
Primary source
Franco Flandoli, Lucio Galeati and Dejun Luo, “Scaling limit of stochastic 2D Euler equations with transport noises to the deterministic Navier-Stokes equations”, arXiv:1905.12352 (2019).
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