-
Notifications
You must be signed in to change notification settings - Fork 0
/
variance-graph.nb
1325 lines (1317 loc) · 77 KB
/
variance-graph.nb
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 8.0' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 157, 7]
NotebookDataLength[ 78697, 1316]
NotebookOptionsPosition[ 78381, 1300]
NotebookOutlinePosition[ 78723, 1315]
CellTagsIndexPosition[ 78680, 1312]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Plot3D", "[",
RowBox[{
RowBox[{
RowBox[{"1", "/", "k"}], "*", "R", "*",
RowBox[{"(",
RowBox[{"1", "-", "R"}], ")"}]}], ",",
RowBox[{"{",
RowBox[{"k", ",", "64", ",", "512"}], "}"}], ",",
RowBox[{"{",
RowBox[{"R", ",", "0", ",", "1"}], "}"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{
"\"\<Sample size k\>\"", ",", "\"\<Resemblance R\>\"", ",",
"\"\<Variance\>\""}], "}"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.5791052540867805`*^9, 3.579105373295599*^9}, {
3.5791054489119244`*^9, 3.579105555712033*^9}, {3.5791056040727987`*^9,
3.579105624790984*^9}, {3.5791056934819126`*^9, 3.5791056942869587`*^9}}],
Cell[BoxData[
Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJzFvQdQVcsWtbsVc1bMoBgwk5MKQpNhCyqgKCoSFBOKiAkzmDBhwhwRUcwo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"], {{
{EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData["
1:eJw1mXf8V9Mfx++5536KpGihUEmoaGnRpKmtrVRKJZRIi4aZZP1kRHYaIlnJ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"]], Polygon3DBox[CompressedData["
1:eJwtmmWgHUUaRO903+AEdwvuFixBI1iCy+JOkBBcQ3B3d3d3d0lwdwuuwZbF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"]], Polygon3DBox[CompressedData["
1:eJwt2Hf8TmUbAPCf5/GkJEnSS4UkkkgZCRmZr72VnZ1NRtmZ2VsppFBklqy3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"]], Polygon3DBox[{{1133, 654, 446, 166, 258, 1067}}]}]}, {},
{GrayLevel[0.82], EdgeForm[None],
GraphicsGroup3DBox[{
Polygon3DBox[{{262, 106, 254}, {1055, 280, 1046}, {781, 61, 1047}, {
265, 151, 257}, {264, 136, 256}, {1062, 261, 1049}, {263, 121,
255}, {766, 251, 1059}, {796, 76, 1048}, {1061, 260, 1048}, {1060,
259, 1047}, {812, 91, 1049}}],
Polygon3DBox[{{1046, 151, 265, 1055}, {871, 136, 264, 1054}, {1049,
91, 253, 1062}, {1048, 76, 252, 1061}, {1054, 257, 151, 871}, {856,
121, 263, 1053}, {1059, 250, 61, 766}, {1052, 255, 121, 841}, {841,
106, 262, 1052}, {1051, 254, 106, 813}, {1047, 61, 250, 1060}, {1053,
256, 136, 856}}],
Polygon3DBox[{{813, 812, 1049, 261, 1051}, {1047, 259, 252, 76,
781}, {1048, 260, 253, 91, 796}}]}]}, {}, {}}, {
{GrayLevel[0], Line3DBox[CompressedData["
1:eJwt0rtLm1EYB+Cj1ksTrzGtGKkaRbyEWES6ddbBzaFDx0IHl7o4OIvgViiC
s4uOTvoX6K5o67XVlFLEu22qVXDwOeDwy/ODHPK+3/mS/TA++qkkhPBZbiX2
v/JLNktDqGeBbbxiPxMOZZ6FkGQ7q1kjWb2WddKh17ObDUxJj97ItPTqL/hS
+vQmNktOL+WiOdNlIaxwlmtM++6Yd7Il/+Rczpz/Gju/8YLbvORO3Ju7vOYe
/3A/PieLchB/i995wx/xLnjI/zyKM1ngujs44b38jOfjPFmy4ybnucovXOYU
FzjBOX7kDN9xksMckjG9l++Z4QiTfMsHM/NxDluZcg+/425SJ8V4B/LGjrUc
jO+DA6zmayaZZ4I5PmdPfD9SpXexkp2sYJblbKNx4RWtE1pojbDh4/TpP/MI
FZBGDQ==
"]],
Line3DBox[{766, 61, 781, 76, 796, 91, 812, 813, 106, 841, 121, 856, 136,
871, 151, 1046, 280, 1055, 265, 257, 1054, 264, 256, 1053, 263, 255,
1052, 262, 254, 1051, 261, 1062, 253, 260, 1061, 252, 259, 1060, 250,
1059, 251, 766}]}, {
Line3DBox[{722, 1041, 1068, 1401, 721, 1178, 943, 723, 1179, 944, 724,
1180, 945, 725, 1181, 946, 726, 1182, 947, 727, 1183, 948, 728, 1184,
1069, 1290, 729, 1185, 949, 730, 1186, 950, 731, 1187, 951, 732, 1188,
952, 733, 1189, 953, 734, 1175, 1190, 954, 1042}],
Line3DBox[{736, 1070, 1291, 735, 1071, 1292, 737, 1191, 955, 738, 1192,
956, 739, 1193, 957, 740, 1194, 958, 741, 1195, 959, 742, 1196, 1072,
1293, 743, 1073, 1294, 744, 1197, 960, 745, 1198, 961, 746, 1199, 962,
747, 1200, 963, 748, 1201, 964, 749}],
Line3DBox[{751, 1074, 1295, 750, 1075, 1296, 752, 1076, 1297, 753, 1202,
965, 754, 1203, 966, 755, 1204, 967, 756, 1205, 968, 757, 1206, 1077,
1298, 758, 1078, 1299, 759, 1079, 1300, 760, 1207, 969, 761, 1208, 970,
762, 1209, 971, 763, 1210, 972, 764}],
Line3DBox[{779, 978, 1217, 778, 977, 1216, 777, 976, 1215, 776, 1308,
1087, 775, 1307, 1086, 774, 1306, 1085, 773, 1305, 1084, 1214, 772,
975, 1213, 771, 974, 1212, 770, 973, 1211, 769, 1304, 1083, 768, 1303,
1082, 767, 1302, 1081, 765, 1301, 1080, 1050}],
Line3DBox[{794, 982, 1222, 793, 981, 1221, 792, 1318, 1096, 791, 1317,
1095, 790, 1316, 1094, 789, 1315, 1093, 788, 1314, 1092, 1220, 787,
980, 1219, 786, 979, 1218, 785, 1313, 1091, 784, 1312, 1090, 783, 1311,
1089, 782, 1310, 1088, 780, 1309, 1056}],
Line3DBox[{809, 984, 1225, 808, 1330, 1107, 807, 1329, 1106, 806, 1328,
1105, 805, 1327, 1104, 804, 1326, 1103, 803, 1325, 1102, 1224, 802,
983, 1223, 801, 1324, 1101, 800, 1323, 1100, 799, 1322, 1099, 798,
1321, 1098, 797, 1320, 1097, 795, 1319, 1057}],
Line3DBox[{838, 1344, 1120, 836, 1343, 1119, 834, 1342, 1118, 832, 1341,
1117, 830, 1340, 1116, 828, 1339, 1115, 826, 1338, 1114, 1232, 824,
1337, 1113, 822, 1336, 1112, 820, 1335, 1111, 818, 1334, 1110, 816,
1333, 1109, 814, 1332, 1108, 810, 1331, 1058}],
Line3DBox[{854, 1010, 1253, 853, 1009, 1252, 852, 1008, 1251, 851, 1007,
1250, 850, 1006, 1249, 849, 1005, 1248, 848, 1346, 1122, 1247, 847,
1004, 1246, 846, 1003, 1245, 845, 1002, 1244, 844, 1001, 1243, 843,
1000, 1242, 842, 999, 1241, 840, 1345, 1121, 1064}],
Line3DBox[{869, 1020, 1264, 868, 1019, 1263, 867, 1018, 1262, 866, 1017,
1261, 865, 1016, 1260, 864, 1350, 1126, 863, 1349, 1125, 1259, 862,
1015, 1258, 861, 1014, 1257, 860, 1013, 1256, 859, 1012, 1255, 858,
1011, 1254, 857, 1348, 1124, 855, 1347, 1123, 1065}],
Line3DBox[{884, 1028, 1273, 883, 1027, 1272, 882, 1026, 1271, 881, 1025,
1270, 880, 1356, 1132, 879, 1355, 1131, 878, 1354, 1130, 1269, 877,
1024, 1268, 876, 1023, 1267, 875, 1022, 1266, 874, 1021, 1265, 873,
1353, 1129, 872, 1352, 1128, 870, 1351, 1127, 1066}],
Line3DBox[{898, 1034, 1280, 897, 1033, 1279, 896, 1032, 1278, 895, 1364,
1140, 894, 1363, 1139, 893, 1362, 1138, 892, 1361, 1137, 1277, 891,
1031, 1276, 890, 1030, 1275, 889, 1029, 1274, 888, 1360, 1136, 887,
1359, 1135, 886, 1358, 1134, 885, 1357, 1133, 1067}],
Line3DBox[{900, 1141, 1365, 899, 1142, 1366, 901, 1143, 1367, 902, 1144,
1368, 903, 1145, 1369, 904, 1281, 1035, 905, 1282, 1036, 906, 1283,
1146, 1370, 907, 1147, 1371, 908, 1148, 1372, 909, 1149, 1373, 910,
1150, 1374, 911, 1284, 1037, 912, 1285, 1038, 913}],
Line3DBox[{915, 1151, 1375, 914, 1152, 1376, 916, 1153, 1377, 917, 1154,
1378, 918, 1155, 1379, 919, 1156, 1380, 920, 1286, 1039, 921, 1287,
1157, 1381, 922, 1158, 1382, 923, 1159, 1383, 924, 1160, 1384, 925,
1161, 1385, 926, 1162, 1386, 927, 1288, 1040, 928}],
Line3DBox[{942, 1045, 1400, 1177, 941, 1399, 1174, 940, 1398, 1173, 939,
1397, 1172, 938, 1396, 1171, 937, 1395, 1170, 936, 1394, 1169, 1289,
935, 1393, 1168, 934, 1392, 1167, 933, 1391, 1166, 932, 1390, 1165,
931, 1389, 1164, 930, 1388, 1163, 929, 1176, 1387, 1043, 1044}],
Line3DBox[{1063, 1402, 985, 811, 1226, 986, 815, 1227, 987, 817, 1228,
988, 819, 1229, 989, 821, 1230, 990, 823, 1231, 991, 825, 1233, 1234,
992, 827, 1235, 993, 829, 1236, 994, 831, 1237, 995, 833, 1238, 996,
835, 1239, 997, 837, 1240, 998, 839}]}, {
Line3DBox[{283, 506, 1178, 284, 1292, 520, 312, 1296, 535, 327, 1302,
550, 342, 1310, 565, 357, 1320, 580, 372, 1332, 595, 1226, 387, 610,
1241, 402, 1348, 625, 417, 1352, 640, 432, 1358, 655, 447, 1366, 670,
462, 1376, 685, 477, 1388, 700, 492}],
Line3DBox[{285, 507, 1179, 286, 521, 1191, 313, 1297, 536, 328, 1303,
551, 343, 1311, 566, 358, 1321, 581, 373, 1333, 596, 1227, 388, 611,
1242, 403, 626, 1254, 418, 1353, 641, 433, 1359, 656, 448, 1367, 671,
463, 1377, 686, 478, 1389, 701, 493}],
Line3DBox[{287, 508, 1180, 288, 522, 1192, 314, 537, 1202, 329, 1304,
552, 344, 1312, 567, 359, 1322, 582, 374, 1334, 597, 1228, 389, 612,
1243, 404, 627, 1255, 419, 642, 1265, 434, 1360, 657, 449, 1368, 672,
464, 1378, 687, 479, 1390, 702, 494}],
Line3DBox[{289, 509, 1181, 290, 523, 1193, 315, 538, 1203, 330, 553,
1211, 345, 1313, 568, 360, 1323, 583, 375, 1335, 598, 1229, 390, 613,
1244, 405, 628, 1256, 420, 643, 1266, 435, 658, 1274, 450, 1369, 673,
465, 1379, 688, 480, 1391, 703, 495}],
Line3DBox[{291, 510, 1182, 292, 524, 1194, 316, 539, 1204, 331, 554,
1212, 346, 569, 1218, 361, 1324, 584, 376, 1336, 599, 1230, 391, 614,
1245, 406, 629, 1257, 421, 644, 1267, 436, 659, 1275, 451, 674, 1281,
466, 1380, 689, 481, 1392, 704, 496}],
Line3DBox[{293, 511, 1183, 294, 525, 1195, 317, 540, 1205, 332, 555,
1213, 347, 570, 1219, 362, 585, 1223, 377, 1337, 600, 1231, 392, 615,
1246, 407, 630, 1258, 422, 645, 1268, 437, 660, 1276, 452, 675, 1282,
467, 690, 1286, 482, 1393, 705, 497}],
Line3DBox[{295, 512, 1184, 297, 526, 1196, 318, 541, 1206, 333, 556,
1214, 348, 571, 1220, 363, 586, 1224, 378, 601, 1232, 1233, 393, 616,
1247, 408, 631, 1259, 423, 646, 1269, 438, 661, 1277, 453, 676, 1283,
468, 691, 1287, 483, 706, 1289, 498}],
Line3DBox[{299, 514, 1185, 300, 1294, 528, 320, 1299, 543, 335, 1306,
558, 350, 1315, 573, 365, 1326, 588, 380, 1339, 603, 1235, 395, 618,
1248, 410, 1350, 633, 425, 1355, 648, 440, 1362, 663, 455, 1371, 678,
470, 1382, 693, 485, 1395, 708, 500}],
Line3DBox[{301, 515, 1186, 302, 529, 1197, 321, 1300, 544, 336, 1307,
559, 351, 1316, 574, 366, 1327, 589, 381, 1340, 604, 1236, 396, 619,
1249, 411, 634, 1260, 426, 1356, 649, 441, 1363, 664, 456, 1372, 679,
471, 1383, 694, 486, 1396, 709, 501}],
Line3DBox[{303, 516, 1187, 304, 530, 1198, 322, 545, 1207, 337, 1308,
560, 352, 1317, 575, 367, 1328, 590, 382, 1341, 605, 1237, 397, 620,
1250, 412, 635, 1261, 427, 650, 1270, 442, 1364, 665, 457, 1373, 680,
472, 1384, 695, 487, 1397, 710, 502}],
Line3DBox[{305, 517, 1188, 306, 531, 1199, 323, 546, 1208, 338, 561,
1215, 353, 1318, 576, 368, 1329, 591, 383, 1342, 606, 1238, 398, 621,
1251, 413, 636, 1262, 428, 651, 1271, 443, 666, 1278, 458, 1374, 681,
473, 1385, 696, 488, 1398, 711, 503}],
Line3DBox[{307, 518, 1189, 308, 532, 1200, 324, 547, 1209, 339, 562,
1216, 354, 577, 1221, 369, 1330, 592, 384, 1343, 607, 1239, 399, 622,
1252, 414, 637, 1263, 429, 652, 1272, 444, 667, 1279, 459, 682, 1284,
474, 1386, 697, 489, 1399, 712, 504}],
Line3DBox[{309, 714, 715, 1190, 310, 533, 1201, 325, 548, 1210, 340,
563, 1217, 355, 578, 1222, 370, 593, 1225, 385, 1344, 608, 1240, 400,
623, 1253, 415, 638, 1264, 430, 653, 1273, 445, 668, 1280, 460, 683,
1285, 475, 698, 1288, 490, 1400, 717, 718, 719}],
Line3DBox[{491, 699, 716, 1387, 476, 684, 1375, 461, 669, 1365, 446,
654, 1357, 431, 639, 1351, 416, 624, 1347, 401, 609, 1345, 386, 1402,
594, 1331, 371, 579, 1319, 356, 564, 1309, 341, 549, 1301, 326, 534,
1295, 311, 519, 1291, 282, 505, 1401, 713, 720}],
Line3DBox[{499, 707, 1394, 484, 692, 1381, 469, 677, 1370, 454, 662,
1361, 439, 647, 1354, 424, 632, 1349, 409, 617, 1346, 394, 1234, 602,
1338, 379, 587, 1325, 364, 572, 1314, 349, 557, 1305, 334, 542, 1298,
319, 527, 1293, 298, 513, 1290, 296}]}, {}, {}}},
VertexNormals->CompressedData["
1:eJzUvXk0V9/7Nq5SiEJpQuZKmgtR7G2IIpJ5nuekImM0EZVCKZqUUJooMo9b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