Asymptotic Self-Similar Blow-Up Profile for Three-Dimensional Axisymmetric Euler Equations Using Neural Networks.

Journal: Physical review letters
Published Date:

Abstract

Whether there exist finite-time blow-up solutions for the 2D Boussinesq and the 3D Euler equations are of fundamental importance to the field of fluid mechanics. We develop a new numerical framework, employing physics-informed neural networks, that discover, for the first time, a smooth self-similar blow-up profile for both equations. The solution itself could form the basis of a future computer-assisted proof of blow-up for both equations. In addition, we demonstrate physics-informed neural networks could be successfully applied to find unstable self-similar solutions to fluid equations by constructing the first example of an unstable self-similar solution to the Córdoba-Córdoba-Fontelos equation. We show that our numerical framework is both robust and adaptable to various other equations.

Authors

  • Y Wang
    1 School of Public Health, Capital Medical University, Beijing, China.
  • C-Y Lai
    Department of Geosciences, Princeton University, Princeton, New Jersey 08544, USA.
  • J Gómez-Serrano
    Department of Mathematics, Brown University, Kassar House, 151 Thayer Street, Providence, Rhode Island 02912, USA.
  • T Buckmaster
    School of Mathematics, Institute for Advanced Study, Princeton, New Jersey 08540, USA.