-
Notifications
You must be signed in to change notification settings - Fork 0
/
Critical.nb
6591 lines (6571 loc) · 387 KB
/
Critical.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[ 396367, 6583]
NotebookOptionsPosition[ 395128, 6554]
NotebookOutlinePosition[ 395467, 6569]
CellTagsIndexPosition[ 395424, 6566]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"f", " ", "=", " ",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{"Power", "[",
RowBox[{"x", ",", "3"}], "]"}], ",",
RowBox[{"{",
RowBox[{"x", ",",
RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.736931845653208*^9, 3.736931877188447*^9}, {
3.736932215315748*^9,
3.736932215438624*^9}},ExpressionUUID->"93b47216-f476-435c-9b34-\
8085835dcbff"],
Cell[BoxData[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
1.], LineBox[CompressedData["
1:eJwteXc0FY7/vgihJBGyV2aSNDTu60ZJiVBJlGy9RUki2SOhSMiI7JGyo2t1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"]]},
Annotation[#, "Charting`Private`Tag$15047#1"]& ]}, {}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic,
Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic,
Charting`ScaledFrameTicks[{Identity, Identity}]}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{-2, 2}, {-7.999999020408203, 7.999999020408203}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{{3.736931857434669*^9, 3.7369318694954853`*^9},
3.7369319826747847`*^9,
3.736932216069644*^9},ExpressionUUID->"2a7b3356-ff8a-455a-ac67-\
78a48130ec88"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"c", " ", "=", " ",
RowBox[{"Graphics", "[",
RowBox[{"{",
RowBox[{"Orange", ",", " ",
RowBox[{"Arrowheads", "[",
RowBox[{"{",
RowBox[{
RowBox[{"-", ".05"}], ",", ".05"}], "}"}], "]"}], ",",
RowBox[{"Arrow", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"-", "1"}], ",", "0"}], "}"}], ",",
RowBox[{"{",
RowBox[{"1", ",", "0"}], "}"}]}], "}"}], "]"}]}], "}"}],
"]"}]}]], "Input",
CellChangeTimes->{{3.736931878604703*^9, 3.7369319089360933`*^9}, {
3.736931957664736*^9, 3.736932001450305*^9}, {3.7369321352011147`*^9,
3.7369321984353848`*^9}},ExpressionUUID->"5b773ed7-e647-48a5-8af7-\
8a7d44d112c0"],
Cell[BoxData[
GraphicsBox[
{RGBColor[1, 0.5, 0], Arrowheads[{-0.05, 0.05}],
ArrowBox[{{-1, 0}, {1, 0}}]}]], "Output",
CellChangeTimes->{{3.736931975378873*^9, 3.736932001775432*^9}, {
3.736932153814403*^9,
3.736932198762944*^9}},ExpressionUUID->"3b1fa3a7-ad31-4f76-914e-\
3c8153c9c227"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{"f", ",", "c"}], "]"}]], "Input",
CellChangeTimes->{{3.736931977599122*^9,
3.73693198006968*^9}},ExpressionUUID->"15bd7bf0-02f8-40ea-83f8-\
624355560377"],
Cell[BoxData[
GraphicsBox[{{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], LineBox[CompressedData["
1:eJwteXc0FY7/vgihJBGyV2aSNDTu60ZJiVBJlGy9RUki2SOhSMiI7JGyo2t1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"]]},
Annotation[#, "Charting`Private`Tag$15047#1"]& ]}, {}, {}},
{RGBColor[1, 0.5, 0], Arrowheads[{-0.05, 0.05}],
ArrowBox[{{-1, 0}, {1, 0}}]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic,
Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic,
Charting`ScaledFrameTicks[{Identity, Identity}]}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{-2, 2}, {-7.999999020408203, 7.999999020408203}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{{3.7369319849579983`*^9, 3.736932003706448*^9}, {
3.7369321575212593`*^9, 3.736932169827126*^9}, {3.736932200779133*^9,
3.7369322182532167`*^9}},ExpressionUUID->"deb91929-d42a-4ff9-a6bd-\
78d161a6d0dd"]
}, Open ]],
Cell[BoxData[
RowBox[{"r", " ", ":=", " ", "1"}]], "Input",
CellChangeTimes->{{3.7369347403806763`*^9,
3.736934747796357*^9}},ExpressionUUID->"f3342013-19ad-4cfa-9727-\
21ce7a56893d"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"c", " ", "=", " ",
RowBox[{"ContourPlot3D", "[",
RowBox[{
RowBox[{
RowBox[{"3",
RowBox[{"Power", "[",
RowBox[{"x", ",", "2"}], "]"}]}], "\[Equal]", " ",
RowBox[{
RowBox[{"2",
RowBox[{"Power", "[",
RowBox[{"y", ",", "2"}], "]"}]}], "-",
RowBox[{"3", "z"}]}]}], ",",
RowBox[{"{",
RowBox[{"x", ",",
RowBox[{"-", "r"}], ",", "r"}], "}"}], ",",
RowBox[{"{",
RowBox[{"y", ",",
RowBox[{"-", "r"}], ",", "r"}], "}"}], ",",
RowBox[{"{",
RowBox[{"z", ",",
RowBox[{"-", "r"}], ",", "r"}], "}"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"x", ",", "y", ",", "z"}], "}"}]}], ",",
RowBox[{"LabelStyle", "\[Rule]", "Larger"}], ",",
RowBox[{"Ticks", "\[Rule]", " ", "None"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.7369344849586763`*^9, 3.736934569379817*^9}, {
3.7369346161445103`*^9, 3.7369346206025352`*^9}, {3.73693466872926*^9,
3.7369347377233143`*^9}},ExpressionUUID->"7359f099-e7b7-4cde-a982-\
9f797129cb14"],
Cell[BoxData[
Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJx0fXlcjt/2duYhY8YSQoaMIWR8Ms8UGVIqKSVT5hBCGULKLEVIkqnJUGin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