Transitions between streamline topologies of structurally stable Hamiltonian flows in multiply connected domains

PHYSICA D-NONLINEAR PHENOMENA

卷:307

Article

Sakajo, Takashi^1,2  Yokoyama, Tomoo^2,3 

[1] Kyoto Univ, Dept Math, Sakyo Ku, Kyoto 6068502, Japan

[2] JST CREST, Tokyo, Japan

[3] Kyoto Univ Educ, Dept Math, Fushimi Ku, Kyoto 6168522, Japan

关键词: Hamiltonian flows;    Streamline topology;    Transition;    Structural stability;    Vortex dynamics;   

DOI  :  10.1016/j.physd.2015.05.013

来源: Elsevier

【 摘 要 】

We consider Hamiltonian vector fields with a dipole singularity satisfying the slip boundary condition in two-dimensional multiply connected domains. One example of such Hamiltonian vector fields is an incompressible and inviscid flow in exterior multiply connected domains with a uniform flow, whose Hamiltonian is called the stream function. Here, we are concerned with topological structures of the level sets of the Hamiltonian, which we call streamlines by analogy from incompressible fluid flows. Classification of structurally stable streamline patterns has been considered in Yokoyama and Sakajo (2013), where a procedure to assign a unique sequence of words, called the maximal word, to these patterns is proposed. Thanks to this procedure, we can identify every streamline pattern with its representing sequence of words up to topological equivalence. In the present paper, based on the theory of word representations, we propose a combinatorial method to provide a list of possible transient structurally unstable streamline patterns between two different structurally stable patterns by simply comparing their maximal word representations without specifying any Hamiltonian, Although this method cannot deal with topological streamline changes induced by bifurcations, it reveals the existence of many non-trivial global transitions in a generic sense. We also demonstrate how the present theory is applied to fluid flow problems with vortex structures. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

Free