-
Notifications
You must be signed in to change notification settings - Fork 0
/
Fold.nb
1646 lines (1628 loc) · 90.3 KB
/
Fold.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 11.2' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 158, 7]
NotebookDataLength[ 92317, 1638]
NotebookOptionsPosition[ 91138, 1610]
NotebookOutlinePosition[ 91477, 1625]
CellTagsIndexPosition[ 91434, 1622]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"l", " ", "=", " ",
RowBox[{"ParametricPlot3D", "[",
RowBox[{
RowBox[{"{",
RowBox[{"x", ",", "0", ",", "0"}], "}"}], ",",
RowBox[{"{",
RowBox[{"x", ",",
RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", " ",
RowBox[{"PlotStyle", "\[Rule]",
RowBox[{"{",
RowBox[{"Black", ",", "Thick"}], "}"}]}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.728383057150982*^9, 3.728383076800741*^9}, {
3.728383112433741*^9, 3.7283831757918243`*^9}, {3.728383418982572*^9,
3.728383446547784*^9}, {3.728383541830789*^9, 3.7283835932606688`*^9}, {
3.7365923358629847`*^9, 3.736592344525888*^9}, {3.736592416684894*^9,
3.736592443894298*^9}},ExpressionUUID->"69bc52f7-b21f-42cc-806d-\
b7dfcfc123ed"],
Cell[BoxData[
Graphics3DBox[{{}, {},
TagBox[
{GrayLevel[0], Thickness[Large], Line3DBox[CompressedData["
1:eJxl1WssFAAAB/DjMjoRFk058pzXDNVZZEwx5Iwbo4lzWmoeKUt3ZhO61tU0
VmyX1NruiDRSyeTced08limPzuNi53J5DHde3V24fOiT/3/7f/l9+n/726fl
0K7pEwgE6n6J+/UKslrS6XQiwoHkaBw5Gi36+48+Lhtb6L6u1DTFMrqfOXvq
qwQ9WK4afN6ETns41HCajs4cZmdfF+6Bj40ZL3UxdsHJnTnH/Gx2wFsyew2O
/tSCp5b6KCdLNODqpwUcUZAanGc6Y82VbYNXR/rkjj7aAi/JYrDcIjbBC4hv
mbkr6+CMomGnH3Uq8MqOeW51hhL8y6zrkXcOq+COZsEhca+WwT+4czLm5Avg
s+LmUxSKAnzes9JX9FkObl5YT/HSk4F7UtY8azak4PcvrnxrY0nALeMayy8f
H8Gd2+Kj/U6D4DXT808W2ULw5FibT9NX+eBtpILx7jxe0EE/O6dnW5woAndU
tmv8uwfAI3iTQ9GJI+ChVAviVosEvIwuKfJulYL3RZNNYixk4Cv2loUjVXLw
vDsejDIrBbhEakZL718AT80//9swahm8x8PvcY/BKrjLYcECP1wJThZkhhpw
VOAErX597tw6+J/YjhSx8yb49Bn6SWf2FvitBDNzB+k2uHXFr8RDZDV4Y9Lr
NxssDXhC4L3w/g4teHNKtoP/zl9wNekCsS1+F5z2PYBC5u6BkwKMuwQv0bv4
U5eu8NC9WfmMF43opnatpdZi9IEsX7nlOnqwkVu5aZQO999Wn2iMRW+a7quh
JqDbNqW3l6ah78TzFaR89FaeXaBhLfpNk7W+2gZ0F6aQFtaMXhGZfOOBAD1X
VfWMOIrunpRhy5tAl/Weqw+ZQY/hTgiLF9GN9Osi7NfQRZnMsc5N9LvjYfRU
Lfr/fwT/B8TDT70=
"]]},
Annotation[#, "Charting`Private`Tag$2696#1"]& ]},
Axes->True,
DisplayFunction->Identity,
FaceGridsStyle->Automatic,
Method->{},
PlotRange->{{-1.999999918367347, 1.999999918367347}, {-1., 1.}, {-1., 1.}},
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02],
Scaled[0.02]},
Ticks->{Automatic, Automatic, Automatic},
ViewPoint->{1.3, -2.4, 2.},
ViewVertical->{0., 0., 1.}]], "Output",
CellChangeTimes->{{3.728383168481542*^9, 3.728383176562873*^9}, {
3.728383420044512*^9, 3.7283834471308603`*^9}, {3.728383555495407*^9,
3.728383593965892*^9}, 3.736589064862131*^9, 3.73659234570825*^9, {
3.736592426691764*^9, 3.736592444408144*^9}, 3.736923801164002*^9,
3.73692480216017*^9},ExpressionUUID->"c28cc4c4-c124-45f9-b829-\
a32853b9694b"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"c", " ", "=", " ",
RowBox[{"ContourPlot3D", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"Power", "[",
RowBox[{"x", ",", "2"}], "]"}], "-", "b"}], "\[Equal]", "0"}], ",",
RowBox[{"{",
RowBox[{"a", ",",
RowBox[{"-", "2"}], ",", "2"}], "}"}], ",",
RowBox[{"{",
RowBox[{"b", ",",
RowBox[{"-", "2"}], ",", "2"}], "}"}], ",",
RowBox[{"{",
RowBox[{"x", ",",
RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", " ",
RowBox[{"Mesh", "\[Rule]", " ", "None"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"x", ",", "y", ",", "z"}], "}"}]}], ",", " ",
RowBox[{"LabelStyle", "\[Rule]", "Larger"}], ",", " ",
RowBox[{"Ticks", "\[Rule]", " ", "None"}], ",", " ",
RowBox[{"ContourStyle", "\[Rule]", " ",
RowBox[{"Directive", "[",
RowBox[{"Orange", ",",
RowBox[{"Opacity", "[", "0.8", "]"}], ",",
RowBox[{"Specularity", "[",
RowBox[{"White", ",", "30"}], "]"}]}], "]"}]}]}], "]"}]}]], "Input",
CellChangeTimes->{
3.728383213372229*^9, {3.72838326886066*^9, 3.728383304188786*^9}, {
3.728383409269126*^9, 3.728383414405765*^9}, {3.728383493921464*^9,
3.7283835278918867`*^9}, {3.7365923684562073`*^9, 3.736592393429105*^9}, {
3.736923748313127*^9,
3.736923790833667*^9}},ExpressionUUID->"3e480412-ceb7-4125-938c-\
3c052583a5d6"],
Cell[BoxData[
Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyFmVuIllUUhn/NTMdTlsSQEFpKZkZCXRihH4WYFEZJiJWhWVoGpZaEZYSJ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"], {{
{RGBColor[1, 0.5, 0], Opacity[0.8], EdgeForm[None], Specularity[
GrayLevel[1], 30],
StyleBox[GraphicsGroup3DBox[
TagBox[Polygon3DBox[CompressedData["
1:eJxNmXW4FtUWxr9BQNJDh0h3CCKNEiKd0oiKlIRSEgIC0ggcDw1HQhoJ6e5G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"]],
Annotation[#, "Charting`Private`Tag$2139#1"]& ]],
Lighting->Automatic]}, {}, {}, {}, {}},
{GrayLevel[0], Line3DBox[CompressedData["
1:eJwt0LtKggEAQOG/BykoX8CoBqdwUGvowu8UZYS4CYqLNHXZavIJJEhaC0GE
aojCiKyoIMzQtaDSqR6gb2j49sMZzxbDwkgQBCuMMkaUaRJ8M+CTL+LMkiRk
mTRLLJJingU2WKdCjSoHPPLEM2ecc80Nt9zRpsUVdU445pcfTkU3aXBEjUP6
9HjjnQ8GDLnkgnse6PBKlxJ5cqQJWWWNDFkmmWKLbTYps8sOE0SYIcYcL+zr
3fv/+wdcaDP4
"]]}},
VertexNormals->CompressedData["
1:eJztmWtIVFEQx9cHGdZSQSGblLZhlpZWgq+kKQiLwD6EpD0QDFexlZQKQVGi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"]],
Axes->True,
AxesLabel->{
FormBox["x", TraditionalForm],
FormBox["y", TraditionalForm],
FormBox["z", TraditionalForm]},
BoxRatios->{1, 1, 1},
DisplayFunction->Identity,
FaceGridsStyle->Automatic,
LabelStyle->Larger,
Method->{"DefaultBoundaryStyle" -> Directive[
GrayLevel[0.3]]},
PlotRange->{{-2, 2}, {-2, 2}, {-2, 2}},
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02],
Scaled[0.02]},
Ticks->{None, None, None}]], "Output",
CellChangeTimes->{
3.728383304808682*^9, {3.728383411400371*^9, 3.7283834153754597`*^9}, {
3.728383495591105*^9, 3.728383528558646*^9}, 3.736589070732151*^9,
3.736592396934264*^9, {3.736923743714863*^9, 3.736923791209559*^9},
3.736924792209776*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ExpressionUUID->"1ead6dbb-3f63-4123-97e4-0c7058164486"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{"c", ",", "l"}], "]"}]], "Input",
CellChangeTimes->{{3.728383424296372*^9,
3.728383427262794*^9}},ExpressionUUID->"17137613-5bfc-448d-b597-\
91aaa048762d"],
Cell[BoxData[
Graphics3DBox[{GraphicsComplex3DBox[CompressedData["
1:eJyFmVuIllUUhn/NTMdTlsSQEFpKZkZCXRihH4WYFEZJiJWhWVoGpZaEZYSJ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"], {{
{RGBColor[1, 0.5, 0], Opacity[0.8], EdgeForm[None], Specularity[
GrayLevel[1], 30],
StyleBox[GraphicsGroup3DBox[
TagBox[Polygon3DBox[CompressedData["
1:eJxNmXW4FtUWxr9BQNJDh0h3CCKNEiKd0oiKlIRSEgIC0ggcDw1HQhoJ6e5G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"]],
Annotation[#, "Charting`Private`Tag$2139#1"]& ]],
Lighting->Automatic]}, {}, {}, {}, {}},
{GrayLevel[0], Line3DBox[CompressedData["
1:eJwt0LtKggEAQOG/BykoX8CoBqdwUGvowu8UZYS4CYqLNHXZavIJJEhaC0GE
aojCiKyoIMzQtaDSqR6gb2j49sMZzxbDwkgQBCuMMkaUaRJ8M+CTL+LMkiRk
mTRLLJJingU2WKdCjSoHPPLEM2ecc80Nt9zRpsUVdU445pcfTkU3aXBEjUP6
9HjjnQ8GDLnkgnse6PBKlxJ5cqQJWWWNDFkmmWKLbTYps8sOE0SYIcYcL+zr
3fv/+wdcaDP4
"]]}},
VertexNormals->CompressedData["
1:eJztmWtIVFEQx9cHGdZSQSGblLZhlpZWgq+kKQiLwD6EpD0QDFexlZQKQVGi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"]], {{}, {},
TagBox[
{GrayLevel[0], Thickness[Large], Line3DBox[CompressedData["
1:eJxl1WssFAAAB/DjMjoRFk058pzXDNVZZEwx5Iwbo4lzWmoeKUt3ZhO61tU0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"]]},
Annotation[#, "Charting`Private`Tag$2696#1"]& ]}},
Axes->True,
AxesLabel->{
FormBox["x", TraditionalForm],
FormBox["y", TraditionalForm],
FormBox["z", TraditionalForm]},
BoxRatios->{1, 1, 1},
DisplayFunction->Identity,
FaceGridsStyle->Automatic,
ImageSize->{390.59442441553955`, 391.13700032767326`},
ImageSizeRaw->Automatic,
LabelStyle->Larger,
Method->{"DefaultBoundaryStyle" -> Directive[
GrayLevel[0.3]]},
PlotRange->{{-2, 2}, {-2, 2}, {-2, 2}},
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02],
Scaled[0.02]},
Ticks->{None, None, None},
ViewPoint->{-0.07830637391331607, -0.2973370448141317, 3.3697861643709306`},
ViewVertical->{-0.4549286530186185, 0.6215136686224192,
0.6377779240285502}]], "Output",
CellChangeTimes->{{3.7283834276103363`*^9, 3.728383451871984*^9}, {
3.728383513259295*^9, 3.728383532298188*^9}, 3.728383597878297*^9,
3.736589076795177*^9, 3.7365924023057623`*^9, {3.7365924368374557`*^9,
3.736592448008293*^9}, {3.736923796268359*^9, 3.736923803657154*^9},
3.73692480429421*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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