Modelling the Feigenbaum Diagram by the Trajectory of the Point ½
By Patrick Hurley Richard O’ Riordan Partially Supported by The Boole Centre for Research in Informatics (BCRI), UCC.
Aims of the Experiment: 1. To quantify a statistical probability of describing the long-term trajectories of random initial values by the short-term trajectories of the point ½. To make assumptions about these statistics based on the data.
2.
Background Information: Experiment: The whole experiment was started because of a project given to us by Dr. Tom Carroll in module MA2055, (Experimentation and Problem Solving). He asked us to investigate the behaviour of particular values of λ in the logistic map and discuss our findings. The aim
of the course is to develop a research ethic among students and to foster a team based outlook to problem solving, and the freedom of the course allowed us to explore avenues not being explored in other courses. Our team compromised Patrick Hurley, Richard O’ Riordan and Eoin Mulholland. Our research led us to the Logistic Map and Feigenbaum Diagram.
Logistic Map:
Consider the Logistic Map:
tn +1 = λ tn (1 − tn )
We fix t = t0 and derive polynomials in terms of λ.
We thus plot f , n Î N in terms of λ.
n
t = By choosing 0 2 we obtain;
t0 = 1
2
1
f 1 = t1 = l t0 1 - t0 =
l
4
f 2 = t2 = l t1 1 - t1 =
l2
4
-
l3
16
f 3 = t3 = l t2 1 - t2 =
l3
4
-
l4
16
-
f 4 = t4 = l t3 1 - t3 =
l4
4 16 16 9 10 7l - 3l + 256 128
-
l5
-
H L H L H L H L
l5
16
+
l6
32
-
l7
256
l6
-
l7
32
l 11
8 + 7l +
512
+
256 7 l 12 2048
13 - 3l +
l 14
2048
4096
-
l 15
65536
etc.
Using Mathematica's Nest function, we compute f each n∈Ν and plot these functions. All of the above functions take the value of 0 for λ=0 or λ=4, ∀ n≥2. Appendix 1 a. shows the first 5 curves overlayed
n
The Feigenbaum Diagram. The Feigenbaum Diagram is a very elegant way of examining the long term behaviour of the logistic map. It allows us to see the trajectories of a fixed point through discrete values of λ and see where periodic windows occur. It also exhibits properties not obvious in the simple cobweb diagram. For example, the self-similarity of the trajectories is very apparent in the Feigenbaum Diagram. (Appendix 1 b.) There is also another phenomenon visible in the Feigenbaum Diagram. This is the seemingly regular curves that sweep across the diagram. They are, intuitively, not supposed to be there, as each λ is supposed to exhibit independent behaviour and these curves would suggest an underlying structure to the randomness exhibited. This, however, is exactly what is going on. These curves act as attractors for the trajectories and we determined that these curves are described by the trajectory of the point ½. Appendix 1 (c.,d.) Using these curves we can determine that there is a point at which all but one curves intersect. This point is the fixed point for the trajectory of the point ½ and can also be shown to be the point before which no period of odd period can exist. There are many other interesting phenomena regarding these trajectories, (including their intersections on the complex plane and the points of origin of these curves as we iterate to -infinity), but these we leave for another discussion. Experimental Method: We will use numerical methods to determine the raw data needed for the analysis. Although Mathematica was used initially, it was determined that we may get more comprehensive results by using C++. Our experiment involves varying different parameters to attain a table of results. Our first act is to fix the initial value being used and ensure the trajectory is well defined. We do this by discarding the fist 10,000,000 iterates of the function. We can then assume that, at each value of λ for which the function has a fixed period n, at that value of λ the
function is on an orbit of that period. We then obtain the next 100,000 points at each value of λ and compare these with the first 25 points obtained by using the trajectory of the point ½. We wish to find out how many of the 100,000 points are close to first 25 points of trajectory ½. We seek percentages for sequential closeness’ of 0.001, 0.002, 0.003, 0.004, and 0.005 of a unit. We then vary the different parameters above for different numbers of initial points discarded, numbers of points recorded, and number of curves.
We then repeat the experiment for different initial values. Our data is compiled and sorted in Microsoft Excel Spreadsheets and graphs and tables formed therein. Appendix 2, Example 1
Appendix 1.
a.)
First 5 polynomial curves overlayed
b.)
Feigenbaum Diagram 0.99 + 8 ≤ λ ≤ 1.03 + 8
c.)
Feigenbaum Diagram 1.02 + 8 ≤ λ ≤ 1.03 + 8
d.)
First 25 Curves 1.02 + 8 ≤ λ ≤ 1.03 + 8
Lambda
Distance=0.001
Distance=0.002
Distance=0.003 Distance=0.004
Distance=0.005
3.55 3.551 3.552 3.553 3.554 3.555 3.556 3.557 3.558 3.559 3.56 3.561 3.562 3.563 3.564 3.565 3.566 3.567 3.568 3.569 3.57 3.571 3.572 3.573 3.574 3.575 3.576 3.577 3.578 3.579 3.58 3.581 3.582 3.583 3.584 3.585 3.586 3.587 3.588 3.589 3.59 3.591 3.592 3.593 3.594 3.595
Init Value= 0.1 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 87.500% 50.000% 50.000% 93.750% 100.000% 100.000% 100.000% 81.250% 71.344% 60.509% 47.537% 52.067% 41.911% 37.782% 45.981% 35.891% 39.411% 38.484% 36.659% 33.582% 46.112% 100.000% 44.201% 35.781% 37.518% 34.307% 33.522% 29.513% 31.501% 28.170% 28.127% 31.662% 28.322% 27.679%
Iter. Out=1e+007 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 87.500% 87.500% 100.000% 100.000% 100.000% 100.000% 87.500% 79.445% 77.368% 70.271% 68.361% 54.422% 50.537% 64.777% 53.092% 56.065% 55.156% 52.609% 45.506% 57.343% 100.000% 59.301% 52.697% 51.272% 49.566% 50.810% 42.327% 43.503% 42.629% 42.459% 43.335% 40.952% 44.544%
Iter. In=100000 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 87.500% 100.000% 100.000% 100.000% 100.000% 96.875% 87.328% 87.023% 79.213% 79.780% 63.256% 58.503% 76.293% 64.318% 67.408% 65.048% 62.637% 54.068% 64.381% 100.000% 68.558% 63.753% 61.647% 61.441% 61.978% 50.753% 52.337% 52.951% 52.627% 52.154% 49.790% 56.795%
No. Curve=25 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 96.875% 88.954% 90.805% 86.767% 85.186% 71.251% 65.438% 80.385% 75.204% 74.064% 71.310% 71.029% 61.612% 69.678% 100.000% 74.983% 69.473% 70.146% 70.358% 70.378% 57.647% 58.994% 59.636% 59.169% 58.377% 56.748% 64.060%
100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 96.875% 90.512% 93.856% 92.306% 88.641% 78.097% 71.659% 83.914% 81.496% 79.758% 77.359% 77.606% 66.766% 74.469% 100.000% 79.431% 73.990% 75.321% 75.292% 77.570% 62.550% 63.766% 66.080% 65.094% 62.555% 62.309% 70.607%
Lambda
3.596 3.597 3.598 3.599 3.6 3.601 3.602 3.603 3.604 3.605 3.606 3.607 3.608 3.609 3.61 3.611 3.612 3.613 3.614 3.615 3.616 3.617 3.618 3.619 3.62 3.621 3.622 3.623 3.624 3.625 3.626 3.627 3.628 3.629 3.63 3.631 3.632 3.633 3.634 3.635 3.636 3.637 3.638 3.639 3.64 3.641 3.642 3.643 3.644 3.645
Distance=0.001
27.426% 24.755% 30.472% 25.845% 27.384% 27.711% 100.000% 27.404% 26.265% 21.756% 100.000% 42.676% 30.117% 25.380% 25.816% 25.670% 23.437% 26.454% 30.763% 22.860% 23.439% 23.901% 20.622% 21.885% 24.976% 22.604% 25.143% 22.280% 25.967% 26.931% 22.029% 100.000% 100.000% 100.000% 83.333% 100.000% 100.000% 79.169% 100.000% 36.969% 28.034% 26.191% 28.483% 21.739% 22.813% 20.872% 26.122% 21.685% 17.002% 24.127%
Distance=0.002
44.596% 35.647% 43.709% 40.166% 43.551% 41.717% 100.000% 44.688% 39.395% 29.956% 100.000% 56.165% 43.879% 40.098% 39.652% 38.804% 36.378% 40.050% 42.601% 36.589% 35.821% 38.018% 32.829% 32.459% 38.268% 31.981% 39.147% 32.612% 38.171% 36.960% 27.860% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 88.889% 100.000% 50.007% 42.279% 38.212% 40.635% 33.291% 35.392% 33.482% 36.007% 31.248% 27.186% 35.815%
Distance=0.003 Distance=0.004
57.687% 45.157% 53.570% 50.957% 54.320% 52.188% 100.000% 55.554% 48.133% 36.454% 100.000% 63.297% 53.853% 51.860% 50.304% 47.907% 45.647% 47.307% 51.737% 46.855% 45.913% 48.302% 42.857% 40.519% 46.864% 39.745% 49.186% 40.639% 46.639% 42.749% 31.915% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 95.833% 100.000% 58.410% 51.162% 45.339% 48.349% 42.729% 45.934% 42.332% 44.481% 37.305% 35.939% 44.428% 67.157% 53.183% 61.147% 59.576% 63.541% 59.776% 100.000% 62.543% 55.868% 42.493% 100.000% 68.802% 61.327% 62.180% 59.865% 55.541% 53.321% 53.434% 58.847% 55.928% 54.570% 57.136% 51.934% 47.578% 54.354% 45.941% 56.387% 47.157% 52.901% 46.791% 35.519% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 97.222% 100.000% 65.694% 58.814% 51.203% 54.427% 49.724% 54.277% 49.261% 51.434% 42.429% 43.233% 51.452%
Distance=0.005
72.969% 58.414% 67.384% 67.639% 71.113% 66.689% 100.000% 68.531% 63.034% 47.570% 100.000% 73.961% 67.807% 69.336% 67.791% 61.574% 59.450% 58.519% 62.713% 61.584% 61.824% 64.647% 59.351% 53.634% 59.269% 50.572% 62.174% 52.636% 58.197% 49.710% 38.765% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 97.222% 100.000% 70.288% 65.783% 56.259% 60.291% 55.267% 61.009% 55.626% 55.899% 47.257% 47.843% 57.135%
Lambda
3.646 3.647 3.648 3.649 3.65 3.651 3.652 3.653 3.654 3.655 3.656 3.657 3.658 3.659 3.66 3.661 3.662 3.663 3.664 3.665 3.666 3.667 3.668 3.669 3.67 3.671 3.672 3.673 3.674 3.675 3.676 3.677 3.678 3.679 3.68 3.681 3.682 3.683 3.684 3.685 3.686 3.687 3.688 3.689 3.69 3.691 3.692 3.693 3.694 3.695
Distance=0.001
21.951% 31.258% 26.077% 27.096% 20.541% 20.890% 16.826% 18.602% 18.551% 18.893% 100.000% 18.197% 19.136% 20.855% 18.926% 19.395% 15.505% 36.403% 21.281% 19.571% 17.704% 18.661% 17.586% 18.449% 17.436% 18.183% 16.438% 100.000% 16.480% 16.564% 15.577% 17.139% 17.269% 21.551% 18.018% 18.480% 20.460% 18.886% 16.947% 17.348% 13.686% 19.297% 19.953% 14.965% 14.678% 17.241% 15.559% 17.175% 16.301% 16.258%
Distance=0.002
34.229% 38.441% 39.484% 39.865% 31.996% 30.813% 25.886% 28.985% 29.313% 28.899% 100.000% 26.326% 30.535% 28.623% 29.770% 28.898% 20.533% 46.827% 31.627% 27.696% 27.799% 26.925% 27.632% 29.214% 27.009% 28.021% 28.121% 100.000% 27.488% 25.632% 25.673% 26.922% 27.577% 28.532% 29.801% 30.440% 32.014% 29.109% 27.043% 27.019% 20.648% 27.945% 30.699% 25.267% 23.122% 28.167% 25.576% 27.528% 27.223% 26.357%
Distance=0.003 Distance=0.004
43.946% 43.328% 48.857% 48.009% 41.487% 39.209% 33.529% 36.650% 37.130% 36.790% 100.000% 33.298% 40.662% 33.784% 37.592% 36.830% 24.528% 53.211% 40.451% 33.028% 35.902% 33.315% 37.095% 37.030% 33.925% 36.292% 36.482% 100.000% 36.989% 32.703% 34.421% 33.100% 35.749% 33.712% 36.934% 39.704% 40.570% 37.165% 34.469% 34.836% 25.353% 33.593% 38.404% 34.076% 30.689% 38.094% 33.728% 36.283% 35.651% 34.977% 51.704% 47.632% 55.407% 54.659% 49.638% 45.878% 39.837% 43.252% 43.298% 42.746% 100.000% 39.143% 48.486% 37.626% 44.190% 43.420% 27.938% 57.756% 47.202% 37.378% 43.125% 39.093% 45.382% 44.502% 39.297% 43.553% 43.114% 100.000% 44.330% 38.841% 41.936% 38.678% 42.671% 37.931% 43.340% 46.498% 47.125% 43.490% 40.815% 41.817% 29.683% 37.235% 43.385% 42.304% 37.772% 45.884% 40.507% 43.710% 43.425% 42.267%
Distance=0.005
58.245% 51.290% 61.122% 60.280% 55.156% 51.650% 44.870% 48.337% 49.098% 47.969% 100.000% 44.334% 54.638% 41.253% 49.714% 49.654% 30.904% 61.858% 53.019% 41.507% 49.274% 44.053% 52.325% 51.028% 43.863% 49.728% 49.581% 100.000% 49.596% 44.140% 48.185% 43.403% 48.422% 41.501% 48.801% 51.373% 52.197% 48.652% 45.939% 48.617% 33.638% 40.073% 47.723% 49.119% 43.723% 51.365% 45.982% 49.997% 50.523% 48.095%
Lambda
3.696 3.697 3.698 3.699 3.7 3.701 3.702 3.703 3.704 3.705 3.706 3.707 3.708 3.709 3.71 3.711 3.712 3.713 3.714 3.715 3.716 3.717 3.718 3.719 3.72 3.721 3.722 3.723 3.724 3.725 3.726 3.727 3.728 3.729 3.73 3.731 3.732 3.733 3.734 3.735 3.736 3.737 3.738 3.739 3.74 3.741 3.742 3.743 3.744 3.745
Distance=0.001
14.370% 16.824% 16.162% 15.761% 17.076% 17.416% 100.000% 29.869% 19.313% 20.568% 15.266% 13.933% 18.504% 14.830% 13.880% 19.070% 14.367% 15.229% 14.207% 14.025% 14.849% 14.231% 17.261% 14.976% 14.924% 16.939% 16.178% 13.919% 16.039% 16.023% 15.941% 14.479% 15.348% 14.253% 17.799% 16.135% 15.628% 15.317% 16.040% 16.847% 17.418% 19.879% 19.699% 100.000% 100.000% 80.000% 100.000% 88.750% 68.187% 29.672%
Distance=0.002
23.918% 27.468% 26.965% 26.350% 26.971% 25.580% 100.000% 40.947% 29.351% 31.443% 25.342% 23.071% 30.219% 23.619% 22.883% 27.862% 22.031% 25.233% 24.129% 23.001% 21.489% 18.994% 26.603% 25.063% 23.563% 26.317% 25.211% 22.053% 25.898% 25.488% 24.991% 24.085% 24.995% 22.265% 28.342% 27.031% 24.390% 25.252% 25.011% 27.513% 26.688% 28.301% 25.002% 100.000% 100.000% 80.000% 100.000% 97.500% 81.354% 41.788%
Distance=0.003 Distance=0.004
32.623% 36.205% 35.952% 34.958% 34.316% 31.476% 100.000% 48.412% 38.282% 40.133% 34.571% 31.586% 38.365% 30.413% 28.911% 34.836% 29.166% 34.092% 32.882% 31.027% 26.857% 22.682% 34.720% 33.845% 30.522% 34.663% 32.668% 29.452% 33.246% 33.126% 33.100% 32.695% 33.645% 29.155% 37.149% 35.138% 32.403% 33.178% 32.753% 36.273% 34.345% 34.131% 28.545% 100.000% 100.000% 100.000% 100.000% 98.750% 88.306% 49.129% 39.788% 44.275% 43.275% 43.163% 40.701% 36.887% 100.000% 54.058% 45.806% 47.020% 43.088% 38.969% 43.412% 36.362% 34.288% 40.742% 35.732% 41.543% 41.309% 38.554% 31.792% 25.830% 40.705% 41.408% 36.343% 41.016% 39.472% 35.978% 39.743% 39.544% 39.455% 40.241% 41.438% 34.833% 43.561% 41.412% 39.455% 40.066% 40.033% 42.794% 39.827% 39.168% 31.576% 100.000% 100.000% 100.000% 100.000% 100.000% 93.023% 55.534%
Distance=0.005
45.625% 49.432% 50.320% 49.941% 45.825% 41.384% 100.000% 58.868% 51.730% 53.252% 50.087% 45.664% 47.741% 42.147% 39.488% 45.812% 41.847% 47.228% 48.368% 45.072% 36.337% 28.783% 45.762% 47.214% 41.614% 46.524% 45.457% 41.853% 44.883% 45.293% 45.085% 46.726% 48.195% 40.098% 49.289% 46.799% 46.337% 46.413% 46.378% 47.942% 44.598% 42.907% 33.974% 100.000% 100.000% 100.000% 100.000% 100.000% 94.705% 61.164%
Lambda
3.746 3.747 3.748 3.749 3.75 3.751 3.752 3.753 3.754 3.755 3.756 3.757 3.758 3.759 3.76 3.761 3.762 3.763 3.764 3.765 3.766 3.767 3.768 3.769 3.77 3.771 3.772 3.773 3.774 3.775 3.776 3.777 3.778 3.779 3.78 3.781 3.782 3.783 3.784 3.785 3.786 3.787 3.788 3.789 3.79 3.791 3.792 3.793 3.794 3.795
Distance=0.001
20.516% 20.412% 17.803% 18.179% 19.018% 19.123% 15.039% 15.453% 15.323% 15.315% 17.869% 13.685% 15.482% 13.473% 15.708% 15.882% 17.146% 14.595% 15.011% 14.773% 15.305% 13.800% 14.404% 14.257% 13.391% 12.513% 14.216% 14.242% 14.900% 30.946% 18.651% 14.060% 16.813% 14.514% 12.325% 14.139% 15.167% 12.931% 13.202% 13.778% 18.549% 15.717% 12.548% 12.737% 13.380% 13.642% 13.438% 12.593% 13.480% 14.737%
Distance=0.002
32.513% 30.871% 28.615% 28.598% 29.111% 29.361% 22.448% 24.653% 25.325% 25.078% 26.338% 21.582% 21.792% 22.226% 22.573% 24.093% 26.304% 23.142% 24.779% 21.755% 25.531% 23.303% 23.852% 22.994% 20.495% 18.469% 21.557% 23.248% 18.571% 41.884% 28.704% 22.642% 25.745% 24.163% 19.407% 21.270% 24.036% 22.011% 22.275% 23.603% 25.793% 25.173% 20.352% 20.741% 20.984% 22.500% 20.952% 21.396% 20.837% 22.384%
Distance=0.003 Distance=0.004
39.499% 37.949% 37.024% 36.792% 36.793% 38.377% 28.635% 31.482% 34.436% 34.147% 32.844% 27.585% 27.342% 29.863% 27.929% 30.574% 34.339% 30.371% 31.883% 27.293% 34.243% 31.508% 31.824% 30.262% 26.914% 23.305% 27.417% 31.102% 21.607% 47.797% 37.301% 29.652% 32.452% 31.947% 25.496% 27.452% 31.549% 30.418% 30.728% 31.254% 32.072% 32.446% 27.283% 28.264% 27.470% 29.693% 27.151% 28.889% 26.914% 28.534% 45.787% 42.886% 42.846% 43.039% 42.530% 46.251% 34.176% 37.528% 42.602% 42.772% 38.715% 32.758% 32.298% 36.826% 32.950% 35.765% 42.047% 36.813% 38.283% 32.317% 41.298% 38.579% 38.627% 36.153% 32.336% 27.398% 32.742% 38.301% 24.369% 52.320% 44.547% 34.548% 37.779% 37.270% 31.003% 32.464% 37.676% 38.426% 37.999% 37.970% 37.016% 38.540% 33.643% 35.419% 32.541% 35.405% 32.515% 35.317% 31.763% 34.095%
Distance=0.005
51.638% 47.155% 47.827% 47.533% 47.346% 51.177% 39.220% 43.187% 47.984% 49.556% 43.913% 37.629% 36.592% 42.384% 37.469% 40.025% 48.662% 42.880% 44.183% 36.392% 47.367% 44.637% 45.281% 41.278% 37.162% 30.692% 37.924% 43.841% 26.826% 55.462% 49.528% 38.791% 41.795% 41.660% 35.875% 36.504% 43.314% 45.321% 43.893% 43.380% 41.404% 44.327% 39.429% 41.838% 37.135% 40.378% 37.312% 40.534% 36.585% 38.749%
Lambda
3.796 3.797 3.798 3.799 3.8 3.801 3.802 3.803 3.804 3.805 3.806 3.807 3.808 3.809 3.81 3.811 3.812 3.813 3.814 3.815 3.816 3.817 3.818 3.819 3.82 3.821 3.822 3.823 3.824 3.825 3.826 3.827 3.828 3.829 3.83 3.831 3.832 3.833 3.834 3.835 3.836 3.837 3.838 3.839 3.84 3.841 3.842 3.843 3.844 3.845
Distance=0.001
12.118% 12.696% 12.527% 12.423% 14.789% 92.327% 15.965% 12.809% 14.108% 12.743% 14.453% 14.576% 14.331% 14.205% 13.232% 12.889% 13.571% 14.168% 14.036% 13.026% 17.937% 13.891% 14.027% 13.276% 14.688% 17.420% 16.449% 16.301% 17.955% 19.253% 22.595% 26.323% 24.803% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 66.666% 33.334% 83.334% 100.000% 100.000% 100.000%
Distance=0.002
20.356% 21.066% 19.371% 21.175% 23.288% 97.504% 25.924% 20.978% 23.830% 21.693% 22.988% 22.400% 22.518% 23.438% 22.639% 21.247% 22.537% 23.075% 23.309% 20.936% 25.729% 22.559% 21.953% 20.912% 23.858% 25.809% 25.078% 24.612% 26.825% 27.677% 30.496% 33.398% 29.501% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 66.666% 66.667% 100.000% 100.000% 100.000% 100.000%
Distance=0.003 Distance=0.004
27.686% 28.642% 24.270% 29.353% 30.218% 98.956% 32.565% 28.430% 31.580% 28.683% 29.665% 29.256% 29.497% 30.043% 30.585% 28.511% 29.751% 30.290% 30.736% 26.868% 31.430% 29.553% 27.988% 26.854% 31.434% 32.175% 32.081% 30.899% 33.388% 33.049% 35.552% 37.016% 33.060% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 66.667% 100.000% 100.000% 100.000% 100.000% 34.722% 34.825% 28.725% 36.840% 36.664% 100.000% 38.408% 35.134% 37.910% 34.996% 35.552% 35.083% 34.842% 36.155% 37.459% 34.297% 35.880% 36.010% 36.575% 31.549% 35.145% 35.661% 32.930% 30.941% 37.497% 37.864% 38.088% 35.820% 39.157% 37.095% 39.344% 39.941% 35.670% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000%
Distance=0.005
40.576% 40.287% 32.715% 42.657% 42.144% 100.000% 44.204% 41.527% 42.347% 40.967% 39.754% 39.684% 38.815% 41.741% 42.594% 39.717% 41.507% 40.740% 42.237% 35.584% 38.567% 40.819% 36.358% 34.196% 42.312% 42.622% 42.381% 40.238% 44.683% 40.622% 42.774% 41.644% 37.685% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000% 100.000%
Lambda
3.846 3.847 3.848 3.849 3.85 3.851 3.852 3.853 3.854 3.855 3.856 3.857 3.858 3.859 3.86 3.861 3.862 3.863 3.864 3.865 3.866 3.867 3.868 3.869 3.87 3.871 3.872 3.873 3.874 3.875 3.876 3.877 3.878 3.879 3.88 3.881 3.882 3.883 3.884 3.885 3.886 3.887 3.888 3.889 3.89 3.891 3.892 3.893 3.894 3.895
Distance=0.001
100.000% 83.334% 100.000% 91.667% 88.746% 57.819% 58.166% 59.280% 96.920% 100.000% 100.000% 28.038% 32.978% 23.694% 15.727% 25.351% 20.227% 18.739% 17.307% 20.142% 20.696% 15.297% 13.200% 19.082% 18.589% 18.806% 20.877% 15.283% 14.740% 16.176% 14.953% 13.310% 13.748% 12.334% 13.543% 13.013% 14.629% 12.377% 13.500% 13.503% 11.955% 14.312% 14.685% 11.166% 11.845% 13.051% 14.291% 12.418% 12.490% 13.412%
Distance=0.002
100.000% 100.000% 100.000% 100.000% 89.999% 74.364% 73.238% 74.191% 98.894% 100.000% 100.000% 41.973% 47.605% 37.492% 23.810% 35.618% 30.285% 29.338% 26.332% 29.508% 30.771% 22.481% 19.569% 28.830% 27.434% 29.196% 32.575% 22.871% 25.083% 23.381% 22.851% 20.862% 21.069% 19.202% 19.374% 21.474% 22.807% 19.227% 19.768% 22.272% 15.541% 22.535% 20.809% 17.377% 19.758% 18.612% 22.117% 20.035% 18.338% 21.769%
Distance=0.003 Distance=0.004
100.000% 100.000% 100.000% 100.000% 96.666% 80.311% 81.929% 81.783% 100.000% 100.000% 100.000% 53.924% 55.711% 44.614% 30.565% 42.523% 38.556% 37.036% 33.324% 36.955% 38.580% 28.566% 24.016% 35.821% 35.249% 37.744% 39.364% 29.733% 32.610% 28.762% 29.102% 27.221% 26.532% 24.678% 24.124% 28.876% 29.203% 25.198% 25.594% 29.148% 18.467% 28.990% 25.138% 22.579% 25.857% 22.838% 29.050% 26.988% 23.671% 29.437% 100.000% 100.000% 100.000% 100.000% 96.666% 85.006% 86.751% 86.109% 100.000% 100.000% 100.000% 58.618% 60.849% 49.531% 36.772% 49.053% 44.451% 43.236% 39.041% 42.674% 45.012% 34.059% 28.209% 41.079% 40.835% 44.254% 44.221% 35.472% 38.266% 33.434% 34.769% 33.304% 31.810% 28.192% 28.609% 34.663% 34.659% 30.704% 29.861% 35.482% 20.964% 35.199% 29.016% 27.474% 31.038% 26.516% 35.287% 33.435% 28.562% 36.118%
Distance=0.005
100.000% 100.000% 100.000% 100.000% 96.666% 89.263% 91.097% 89.517% 100.000% 100.000% 100.000% 62.677% 65.581% 54.221% 41.941% 54.205% 49.786% 48.402% 43.959% 47.722% 49.483% 38.143% 32.249% 44.831% 46.101% 48.528% 48.852% 40.940% 43.223% 37.999% 38.910% 38.399% 36.703% 31.568% 31.909% 39.949% 39.322% 35.695% 33.886% 41.422% 23.212% 40.987% 32.586% 31.802% 35.587% 30.212% 39.838% 38.402% 33.204% 41.095%
Lambda
3.896 3.897 3.898 3.899 3.9 3.901 3.902 3.903 3.904 3.905 3.906 3.907 3.908 3.909 3.91 3.911 3.912 3.913 3.914 3.915 3.916 3.917 3.918 3.919 3.92 3.921 3.922 3.923 3.924 3.925 3.926 3.927 3.928 3.929 3.93 3.931 3.932 3.933 3.934 3.935 3.936 3.937 3.938 3.939 3.94 3.941 3.942 3.943 3.944 3.945
Distance=0.001
14.153% 13.470% 13.929% 12.764% 14.747% 15.382% 12.598% 14.167% 14.299% 16.127% 100.000% 27.309% 21.143% 13.651% 17.143% 17.338% 15.196% 17.159% 12.316% 11.470% 12.054% 11.903% 12.434% 11.855% 12.499% 11.422% 12.184% 12.774% 11.292% 10.276% 12.029% 11.245% 11.640% 10.170% 10.569% 12.168% 10.019% 10.743% 10.985% 12.039% 10.302% 11.679% 13.649% 11.408% 12.367% 9.353% 10.462% 11.302% 11.675% 10.516%
Distance=0.002
22.572% 22.153% 21.397% 19.979% 22.898% 25.060% 21.056% 22.072% 21.168% 24.449% 100.000% 36.138% 29.211% 21.725% 25.814% 25.599% 22.215% 25.656% 18.060% 16.388% 17.361% 18.963% 19.071% 20.368% 19.718% 18.905% 19.427% 21.504% 18.941% 16.958% 19.318% 17.186% 18.649% 16.964% 18.031% 19.364% 16.536% 17.256% 17.658% 19.096% 16.339% 18.135% 20.576% 18.592% 19.144% 15.020% 16.946% 18.869% 18.622% 17.344%
Distance=0.003 Distance=0.004
28.944% 28.813% 27.498% 26.318% 29.580% 32.922% 28.621% 28.748% 26.207% 30.546% 100.000% 42.028% 35.192% 27.310% 30.066% 30.549% 27.799% 31.621% 22.435% 20.348% 22.301% 24.881% 23.688% 27.405% 26.038% 25.157% 25.697% 29.053% 25.667% 22.959% 25.887% 22.058% 23.962% 23.203% 24.590% 26.058% 22.270% 22.959% 23.883% 25.782% 20.914% 23.457% 26.681% 24.625% 25.057% 19.918% 22.356% 24.209% 24.934% 22.186% 34.172% 34.759% 33.041% 32.428% 35.865% 39.386% 34.439% 35.343% 30.891% 35.004% 100.000% 46.763% 40.421% 31.841% 34.131% 34.394% 31.725% 36.947% 26.440% 23.897% 26.391% 30.173% 28.016% 32.710% 31.950% 30.921% 30.913% 34.623% 31.997% 28.267% 31.604% 26.144% 28.519% 29.014% 31.090% 32.279% 27.789% 28.335% 29.102% 31.543% 24.617% 27.167% 32.482% 29.237% 30.593% 24.375% 26.974% 29.150% 30.715% 26.558%
Distance=0.005
39.248% 39.735% 37.850% 37.878% 40.904% 44.977% 39.675% 41.310% 35.385% 39.285% 100.000% 50.326% 44.675% 36.063% 38.221% 37.511% 35.172% 40.531% 30.323% 26.791% 29.793% 34.071% 31.764% 37.723% 36.788% 36.506% 35.188% 39.813% 37.619% 33.533% 36.566% 30.011% 32.447% 33.958% 35.857% 37.064% 32.945% 32.907% 33.696% 36.331% 27.692% 30.451% 37.598% 33.257% 35.367% 28.296% 30.915% 33.907% 35.725% 30.874%
Lambda
3.946 3.947 3.948 3.949 3.95 3.951 3.952 3.953 3.954 3.955 3.956 3.957 3.958 3.959 3.96 3.961 3.962 3.963 3.964 3.965 3.966 3.967 3.968 3.969 3.97 3.971 3.972 3.973 3.974 3.975 3.976 3.977 3.978 3.979 3.98 3.981 3.982 3.983 3.984 3.985 3.986 3.987 3.988 3.989 3.99 3.991 3.992 3.993 3.994 3.995
Distance=0.001
11.660% 10.886% 10.387% 10.060% 10.093% 12.020% 10.961% 11.139% 11.662% 11.402% 10.884% 11.915% 12.421% 13.357% 15.301% 100.000% 21.701% 15.412% 12.740% 13.838% 12.952% 13.293% 11.789% 18.621% 13.402% 11.032% 11.635% 9.554% 10.257% 10.273% 11.051% 10.605% 12.640% 11.406% 9.573% 10.704% 10.012% 9.368% 11.181% 10.786% 9.975% 10.622% 10.737% 10.076% 11.096% 13.146% 10.351% 10.662% 8.764% 10.314%
Distance=0.002
17.984% 18.989% 18.043% 16.775% 16.664% 16.106% 18.592% 18.172% 18.078% 18.449% 17.100% 19.095% 19.534% 19.646% 17.957% 100.000% 28.389% 21.861% 20.544% 21.677% 20.737% 20.261% 19.399% 22.196% 21.221% 18.838% 18.408% 15.910% 17.418% 16.473% 16.776% 18.446% 18.441% 18.868% 16.219% 17.373% 16.015% 15.311% 18.018% 18.365% 16.063% 16.728% 16.644% 17.315% 17.532% 19.986% 16.700% 18.123% 14.792% 16.976%
Distance=0.003 Distance=0.004
23.409% 24.226% 24.382% 21.844% 22.407% 19.441% 24.804% 24.199% 23.472% 23.713% 22.530% 24.753% 24.335% 24.753% 19.826% 100.000% 32.755% 26.642% 26.981% 27.923% 26.796% 26.338% 25.559% 24.705% 26.995% 25.642% 24.798% 21.689% 24.189% 21.691% 21.345% 25.573% 23.757% 25.370% 22.224% 22.967% 21.104% 20.941% 23.114% 23.915% 21.749% 22.054% 21.608% 22.869% 23.400% 24.918% 21.708% 23.444% 20.181% 21.763% 28.567% 28.491% 29.696% 26.268% 27.042% 22.476% 30.094% 29.678% 28.263% 28.243% 25.901% 29.805% 28.539% 29.165% 21.318% 100.000% 35.776% 30.806% 31.597% 32.764% 31.301% 31.613% 30.969% 27.024% 31.924% 31.389% 29.906% 27.105% 30.598% 26.638% 24.875% 30.175% 28.821% 30.077% 27.885% 28.421% 25.568% 26.114% 28.145% 28.830% 26.829% 27.317% 26.441% 27.082% 28.696% 29.540% 26.466% 28.024% 25.198% 26.443%
Distance=0.005
33.141% 32.647% 34.774% 30.536% 30.844% 24.913% 34.147% 34.949% 31.844% 32.350% 29.080% 34.571% 32.305% 32.998% 22.609% 100.000% 38.467% 34.554% 35.424% 37.474% 35.134% 35.300% 35.675% 29.071% 36.108% 36.836% 33.963% 31.858% 35.986% 31.529% 28.351% 34.085% 33.201% 33.621% 32.519% 33.379% 29.999% 31.106% 33.064% 32.959% 31.592% 32.187% 31.037% 31.006% 32.060% 33.863% 31.061% 32.195% 29.885% 30.834%
Lambda
3.996 3.997 3.998 3.999 4
Distance=0.001
8.328% 8.787% 10.138% 9.458% 4.041%
Distance=0.002
13.162% 15.014% 16.566% 14.903% 5.766%
Distance=0.003 Distance=0.004
17.261% 20.932% 22.420% 20.114% 7.033% 21.078% 26.299% 26.540% 24.105% 8.125%
Distance=0.005
24.933% 31.509% 30.233% 27.988% 9.095%
Percentage of Points within certain Distance of Curves 100.000% 120.000% 20.000% 40.000% 60.000% 80.000% 0.000% 3.55 3.56 3.58 3.59 3.60 3.62 3.63 3.64 3.65 3.67 3.68 3.69 3.71 3.72 3.73 3.75 3.76 3.77 3.78 3.80 3.81 3.82 3.84 3.85 3.86 3.88 3.89 3.90 3.91 3.93 3.94 3.95 3.97 3.98 3.99 Lambda
Percentage Closeness vs. Lambda
0.001 0.002 0.003 0.004 0.005