Created
August 9, 2015 15:28
-
-
Save xiangze/fb2339e12d2d72f54ef3 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:2db00b0c88352865069cc85c4e2f7a00a71cdce1e7e2bf1e3f3812c5cd172a1d" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "heading", | |
"level": 1, | |
"metadata": {}, | |
"source": [ | |
"Henon map" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import numpy as np\n", | |
"%pylab inline\n", | |
"import pylab as plt " | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"Populating the interactive namespace from numpy and matplotlib\n" | |
] | |
} | |
], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"http://mathworld.wolfram.com/HenonMap.html" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"def henon0(x,A,B=0.3):\n", | |
" return [1-A*x[0]**2+B*x[1], x[0]]\n", | |
"\n", | |
"def henon(num,x0,A=1.4,B=0.3):\n", | |
" xs=[x0]\n", | |
" for t in xrange(num):\n", | |
" xs.append(henon0(xs[-1],A,B))\n", | |
" return xs\n" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"xs=henon(1000,[0.3,0.3])" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"xt=zip(*xs)\n", | |
"plt.scatter(xt[0],xt[1])" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 11, | |
"text": [ | |
"<matplotlib.collections.PathCollection at 0x94bda90>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEACAYAAAC08h1NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nURRFURRFURRFURRFURRFUZTi4/8BecVFlgiK38UAAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x93ddd30>" | |
] | |
} | |
], | |
"prompt_number": 11 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"- http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.110.220601\n", | |
"- http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.86.2261" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 2, | |
"metadata": {}, | |
"source": [ | |
"transient chaos" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"- chaotic saddles | reviersible system\n", | |
"- chaotic reppeler | irreversible system" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"a=1.25\n", | |
"b=0.3\n", | |
"x0=0.738816\n", | |
"y0=0.893088\n", | |
"#xs0=henon(1000,[x0,y0])\n", | |
"xs=henon(1000,[x0,y0],a,b)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 8 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"plot(xs[::7][:30],\"o-\")" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 16, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0x90cef70>,\n", | |
" <matplotlib.lines.Line2D at 0x90da170>]" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAEACAYAAABfxaZOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x8aa1090>" | |
] | |
} | |
], | |
"prompt_number": 16 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"xt=zip(*xs)\n", | |
"plt.scatter(xt[0],xt[1])" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 10, | |
"text": [ | |
"<matplotlib.collections.PathCollection at 0x8b545d0>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEACAYAAAC08h1NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wMvxkdMsE/ULwAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x85984b0>" | |
] | |
} | |
], | |
"prompt_number": 10 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"xt7=zip(*xs[::7][:30])" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 17 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"plt.scatter(xt7[0],xt7[1])" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 18, | |
"text": [ | |
"<matplotlib.collections.PathCollection at 0x9287c50>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEACAYAAAC08h1NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkiRJkiRJkiRJkiSVj/8H+LAy5tZywmAAAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x90e32d0>" | |
] | |
} | |
], | |
"prompt_number": 18 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment