中国物理B ›› 1993, Vol. 2 ›› Issue (7): 481-489.doi: 10.1088/1004-423X/2/7/001

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MEASURE OF CHAOTIC ORBITS FOR STANDARD MAP

陈式刚, 王友琴   

  1. Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
  • 收稿日期:1992-08-25 出版日期:1993-07-20 发布日期:1993-07-20
  • 基金资助:
    Project supported by the National Basic Research Project ‘Nonlinear Science' and National Natural Science Foundation of China.

MEASURE OF CHAOTIC ORBITS FOR STANDARD MAP

CHEN SHI-GANG (陈式刚), WANG YOU-QIN (王友琴)   

  1. Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
  • Received:1992-08-25 Online:1993-07-20 Published:1993-07-20
  • Supported by:
    Project supported by the National Basic Research Project ‘Nonlinear Science' and National Natural Science Foundation of China.

摘要: In this paper, the measure m0 of the chaotic orbits in phase space for standard map is studied. As the nonlinearity parameter k→0, the contribution to chaotic measure m0(k) is mainly from the stochastic layers near separatrices of resonance regions. As k→∞, the contribution to non-chaotic measure (1 - m0(k)) is mainly from the accelerator modes. The behaviour of m0(k) in these regions is studied analytically and numerically. For medial k value, the chaotic orbit forms a fat fractal, its boundary is a typical fractal with dimension Db = 2-β. The behaviour of m0(k) and Db(k) is studied numerically.

Abstract: In this paper, the measure m0 of the chaotic orbits in phase space for standard map is studied. As the nonlinearity parameter k→0, the contribution to chaotic measure m0(k) is mainly from the stochastic layers near separatrices of resonance regions. As k→$\infty$, the contribution to non-chaotic measure (1 - m0(k)) is mainly from the accelerator modes. The behaviour of m0(k) in these regions is studied analytically and numerically. For medial k value, the chaotic orbit forms a fat fractal, its boundary is a typical fractal with dimension Db = 2-$\beta$. The behaviour of m0(k) and Db(k) is studied numerically.

中图分类号:  (Numerical simulations of chaotic systems)

  • 05.45.Pq
05.45.Df (Fractals) 02.50.Ey (Stochastic processes)