A practical cellular neural network (CNN) approximation to the Navier-Stokes equation describing the viscous flow of incompressible fluids is presented. The implementation of the CNN templates based on a finite-difference discretization scheme, including the double-timescale CNN dynamics and the tre
✦ LIBER ✦
Two-Dimensional Navier–Stokes Equations Driven by a Space–Time White Noise
✍ Scribed by Giuseppe Da Prato; Arnaud Debussche
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 247 KB
- Volume
- 196
- Category
- Article
- ISSN
- 0022-1236
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✦ Synopsis
We study the two-dimensional Navier-Stokes equations with periodic boundary conditions perturbed by a space-time white noise. It is shown that, although the solution is not expected to be smooth, the nonlinear term can be defined without changing the equation. We first construct a stationary martingale solution.Then, we prove that, for almost every initial data with respect to a measure supported by negative spaces, there exists a unique global solution in the strong probabilistic sense.
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