Symmetry breaking and uniqueness for the incompressible Navier-Stokes equations
- 1. Department of Mathematics, Oregon State University, Corvallis, Oregon 97331 (United States)
- 2. Department of Mathematics, New Mexico State University, Las Cruces, New Mexico 88003 (United States)
Description
The present article establishes connections between the structure of the deterministic Navier-Stokes equations and the structure of (similarity) equations that govern self-similar solutions as expected values of certain naturally associated stochastic cascades. A principle result is that explosion criteria for the stochastic cascades involved in the probabilistic representations of solutions to the respective equations coincide. While the uniqueness problem itself remains unresolved, these connections provide interesting problems and possible methods for investigating symmetry breaking and the uniqueness problem for Navier-Stokes equations. In particular, new branching Markov chains, including a dilogarithmic branching random walk on the multiplicative group (0, ∞), naturally arise as a result of this investigation
Additional details
Identifiers
- DOI
- 10.1063/1.4913236;
- arXiv
- arXiv:1502.06939v1;
Publishing Information
- Journal Title
- Chaos (Woodbury, N. Y.)
- Journal Volume
- 25
- Journal Issue
- 7
- Journal Page Range
- p. 075402-075402.16
- ISSN
- 1054-1500
- CODEN
- CHAOEH
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46108328
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S42: ENGINEERING;
- Descriptors DEI
- GRAPH THEORY; INCOMPRESSIBLE FLOW; MARKOV PROCESS; MATHEMATICAL SOLUTIONS; NAVIER-STOKES EQUATIONS; PROBABILISTIC ESTIMATION; RANDOMNESS; SYMMETRY BREAKING
- Descriptors DEC
- CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; FLUID FLOW; MATHEMATICS; PARTIAL DIFFERENTIAL EQUATIONS; STOCHASTIC PROCESSES
Optional Information
- Notes
- (c) 2015 AIP Publishing LLC