Geometric theory of incompressible flows with applications to fluid dynamics (不可压缩流几何理论与流
发布日期:2006-08-29 浏览次
[内容简介]
This monograph presents a geometric theory for incompressible flow and its applications to fluid dynamics. The main objective is to study the stability and transitions of the structure of incompressible flows and its applications to fluid dynamics and geophysical fluid dynamics. The development of the theory and its applications goes well beyond its original motivation of the study of oceanic dynamics. The authors present a substantial advance in the use of geometric and topological methods to analyze and classify incompressible fluid flows. The approach introduces genuinely innovative ideas to the study of the partial differential equations of fluid dynamics. One particularly useful development is a rigorous theory for boundary layer separation of incompressible fluids. The study of incompressible flows has two major interconnected parts. The first is the development of a global geometric theory of divergence-free fields on general two-dimensional compact manifolds. The second is the study of the structure of velocity fields for two-dimensional incompressible fluid flows governed by the Navier-Stokes equations or the Euler equations.
[目次]
Introduction;
Structure classification of divergence-free vector fields;
Structural stability of divergence-free vector fields;
Block stability of divergence-free vector fields on manifolds with nonzero genus;
Structural stability of solutions of Navier-Stokes equations;
Structural bifurcation for one-parameter family of divergence-free vector fields;
Two examples;
Bibliography; Index;
Introduction;
Structure classification of divergence-free vector fields;
Structural stability of divergence-free vector fields;
Block stability of divergence-free vector fields on manifolds with nonzero genus;
Structural stability of solutions of Navier-Stokes equations;
Structural bifurcation for one-parameter family of divergence-free vector fields;
Two examples;
Bibliography;
Index
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