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Dynamo theory, vorticity generation, and exponential stretching.
Susan Friedlander1, Misha M. Vishik
1Department of Mathematics, Statistics, and Computer Science, University of Illinois, Chicago, Illinois 60680Department of Mathematics, University of Chicago, Chicago, Illinois 60637M.I.T.P.A.N., Warskavshaya 79, K2, 113556, Moscow, USSR.
Chaos (Woodbury, N.Y.)
|August 1, 1991
Summary
This study explores the analogy between magnetic field generation in conducting fluids and fluid vorticity evolution. It finds exponential stretching is key for fast dynamo action and fast vorticity generation, linking fluid flow instabilities to magnetic field dynamics.
Area of Science:
- Plasma Physics
- Fluid Dynamics
- Magnetohydrodynamics
Background:
- The dynamo equation describes magnetic field generation in electrically conducting fluids.
- Vorticity evolution in viscous fluids shares similarities with dynamo processes.
- Exponential stretching is a critical factor in instability problems for both systems.
Purpose of the Study:
- To discuss the analogy between dynamo theory and fluid vorticity evolution.
- To establish necessary conditions for fast dynamo action and fast vorticity generation.
- To investigate the role of flow instabilities in these phenomena.
Main Methods:
- Comparison of dynamo equations with linearized Navier-Stokes equations.
- Analysis of exponential stretching and Lyapunov exponents in fluid flows.
- Application of dynamo theory methods to inviscid fluid perturbations.
Main Results:
- Exponential stretching is a necessary condition for fast dynamo action in smooth flows.
- An Anosov flow example demonstrates fast dynamo action.
- Instability in Euler equations is analogous to fast vorticity generation.
- A universal geometric bound provides a sufficient condition for local instability in Euler equations.
Conclusions:
- A strong analogy exists between magnetic field generation and fluid vorticity dynamics.
- Flow instabilities, particularly exponential stretching, are crucial for rapid field and vorticity generation.
- The study provides theoretical tools to predict and understand instabilities in fluid systems.