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Coplanarity

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Since three or fewer points are always coplanar, the problem of determining when a set of points are coplanar is generally of interest only when there are at least four points involved. In the case that there are exactly four points, several
439: 1443:{\displaystyle {\begin{bmatrix}x_{1}-w_{1}&x_{2}-w_{2}&\dots &x_{n}-w_{n}\\y_{1}-w_{1}&y_{2}-w_{2}&\dots &y_{n}-w_{n}\\z_{1}-w_{1}&z_{2}-w_{2}&\dots &z_{n}-w_{n}\\\end{bmatrix}}} 744: 893: 1159:{\displaystyle {\begin{aligned}X&=(x_{1},x_{2},\dots ,x_{n}),\\Y&=(y_{1},y_{2},\dots ,y_{n}),\\Z&=(z_{1},z_{2},\dots ,z_{n}),\\W&=(w_{1},w_{2},\dots ,w_{n}),\end{aligned}}} 391: 263: 575: 749: 644:
methods can be employed, but a general method that works for any number of points uses vector methods and the property that a plane is determined by two
536:{\displaystyle (\mathbf {c} \cdot \mathbf {\hat {a}} )\mathbf {\hat {a}} +(\mathbf {c} \cdot \mathbf {\hat {b}} )\mathbf {\hat {b}} =\mathbf {c} ,} 79:
provides a solution technique for the problem of determining whether a set of points is coplanar, knowing only the distances between them.
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are coplanar if and only if the matrix of their relative differences, that is, the matrix whose columns (or rows) are the vectors
46:, the plane they determine is unique. However, a set of four or more distinct points will, in general, not lie in a single plane. 103:
to this cross product through the initial point will lie in the plane. This leads to the following coplanarity test using a
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In the special case of a plane that contains the origin, the property can be simplified in the following way: A set of
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in three-dimensional space are coplanar if there is a plane that includes them both. This occurs if the lines are
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that contains them all. For example, three points are always coplanar, and if the points are distinct and
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are not coplanar. Such a polygon must have at least four vertices; there are no skew triangles.
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points and the origin are coplanar if and only if the matrix of the coordinates of the
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vectors with the same initial point determine a plane through that point. Their
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each other. Two lines that are not coplanar are called
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Geometric property of objects being in the same plane
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is of rank 2 or less, the four points are coplanar.
739:{\displaystyle \{p_{0},\ p_{1},\ \dots ,\ p_{k-1}\}} 1530: 1442: 1158: 867: 738: 569: 535: 385: 257: 1564: 561: 516: 501: 475: 460: 82: 1585: 733: 673: 1528: 1495:has vertices that are not all coplanar. 48: 14: 1586: 635:dimensions whose coordinates are given 386:{\displaystyle (x_{2}-x_{1})\cdot =0.} 258:{\displaystyle \cdot (x_{3}-x_{1})=0.} 1565: 99:vector to that plane, and any vector 1467: 570:{\displaystyle \mathbf {\hat {a}} } 24: 25: 1605: 1558: 558: 526: 513: 498: 488: 472: 457: 447: 87:In three-dimensional space, two 1533:Calculus with Analytic Geometry 882:For example, given four points 140:, are coplanar if and only if, 34:, a set of points in space are 1522: 1146: 1101: 1081: 1036: 1016: 971: 951: 906: 507: 484: 466: 443: 374: 371: 345: 339: 313: 310: 304: 278: 246: 220: 214: 211: 185: 179: 153: 150: 83:Properties in three dimensions 13: 1: 1515: 1464:points is of rank 2 or less. 53:An example of coplanar points 646:linearly independent vectors 268:which is also equivalent to 38:if there exists a geometric 7: 1529:Swokowski, Earl W. (1983), 1498: 10: 1610: 655:-dimensional space where 631:Coplanarity of points in 621:add to give the original 1444: 1160: 869: 740: 571: 537: 410:are coplanar, then if 387: 259: 110:Four distinct points, 54: 1445: 1161: 870: 741: 572: 538: 433:are orthogonal) then 388: 260: 105:scalar triple product 52: 1179: 889: 750: 670: 552: 440: 275: 147: 89:linearly independent 1567:Weisstein, Eric W. 1510:Plane of incidence 1491:that has positive 1440: 1434: 1156: 1154: 736: 595:vector projections 567: 533: 383: 255: 55: 1594:Planes (geometry) 864: 830: 821: 814: 786: 779: 716: 707: 691: 564: 519: 504: 478: 463: 396:If three vectors 77:Distance geometry 16:(Redirected from 1601: 1580: 1579: 1552: 1551: 1536: 1526: 1468:Geometric shapes 1463: 1459: 1449: 1447: 1446: 1441: 1439: 1438: 1431: 1430: 1418: 1417: 1401: 1400: 1388: 1387: 1376: 1375: 1363: 1362: 1349: 1348: 1336: 1335: 1319: 1318: 1306: 1305: 1294: 1293: 1281: 1280: 1267: 1266: 1254: 1253: 1237: 1236: 1224: 1223: 1212: 1211: 1199: 1198: 1165: 1163: 1162: 1157: 1155: 1145: 1144: 1126: 1125: 1113: 1112: 1080: 1079: 1061: 1060: 1048: 1047: 1015: 1014: 996: 995: 983: 982: 950: 949: 931: 930: 918: 917: 874: 872: 871: 866: 865: 860: 859: 858: 843: 842: 832: 828: 819: 815: 810: 809: 808: 799: 798: 788: 784: 780: 775: 774: 773: 764: 763: 753: 745: 743: 742: 737: 732: 731: 714: 705: 701: 700: 689: 685: 684: 665: 661: 654: 626: 620: 614: 608: 602: 592: 578: 576: 574: 573: 568: 566: 565: 557: 542: 540: 539: 534: 529: 521: 520: 512: 506: 505: 497: 491: 480: 479: 471: 465: 464: 456: 450: 432: 426: 420: 409: 392: 390: 389: 384: 370: 369: 357: 356: 338: 337: 325: 324: 303: 302: 290: 289: 264: 262: 261: 256: 245: 244: 232: 231: 210: 209: 197: 196: 178: 177: 165: 164: 139: 21: 1609: 1608: 1604: 1603: 1602: 1600: 1599: 1598: 1584: 1583: 1561: 1556: 1555: 1549: 1527: 1523: 1518: 1501: 1470: 1461: 1457: 1433: 1432: 1426: 1422: 1413: 1409: 1407: 1402: 1396: 1392: 1383: 1379: 1377: 1371: 1367: 1358: 1354: 1351: 1350: 1344: 1340: 1331: 1327: 1325: 1320: 1314: 1310: 1301: 1297: 1295: 1289: 1285: 1276: 1272: 1269: 1268: 1262: 1258: 1249: 1245: 1243: 1238: 1232: 1228: 1219: 1215: 1213: 1207: 1203: 1194: 1190: 1183: 1182: 1180: 1177: 1176: 1153: 1152: 1140: 1136: 1121: 1117: 1108: 1104: 1094: 1088: 1087: 1075: 1071: 1056: 1052: 1043: 1039: 1029: 1023: 1022: 1010: 1006: 991: 987: 978: 974: 964: 958: 957: 945: 941: 926: 922: 913: 909: 899: 892: 890: 887: 886: 848: 844: 838: 834: 833: 831: 804: 800: 794: 790: 789: 787: 769: 765: 759: 755: 754: 752: 751: 748: 747: 721: 717: 696: 692: 680: 676: 671: 668: 667: 663: 656: 652: 637: 622: 616: 610: 604: 598: 593:. 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681: 677: 659: 649: 647: 643: 634: 628: 625: 619: 613: 607: 601: 596: 591: 586: 582: 530: 522: 492: 481: 451: 436: 435: 434: 431: 425: 418: 414: 408: 404: 400: 380: 377: 366: 362: 358: 353: 349: 342: 334: 330: 326: 321: 317: 307: 299: 295: 291: 286: 282: 271: 270: 269: 252: 249: 241: 237: 233: 228: 224: 217: 206: 202: 198: 193: 189: 182: 174: 170: 166: 161: 157: 143: 142: 141: 135: 128: 121: 114: 108: 106: 102: 98: 94: 93:cross product 90: 80: 78: 74: 72: 68: 65:, or if they 64: 60: 51: 47: 45: 44:non-collinear 41: 37: 33: 19: 1573: 1532: 1524: 1505:Collinearity 1486: 1474:skew polygon 1471: 1455: 1452: 1168: 881: 879:2 or less. 657: 650: 641: 638: 632: 623: 617: 611: 605: 599: 589: 579:denotes the 545: 429: 423: 416: 412: 406: 402: 398: 395: 267: 133: 126: 119: 112: 109: 86: 75: 56: 35: 29: 662:, a set of 581:unit vector 1570:"Coplanar" 1516:References 1489:polyhedron 101:orthogonal 71:skew lines 1575:MathWorld 1420:− 1405:… 1390:− 1365:− 1338:− 1323:… 1308:− 1283:− 1256:− 1241:… 1226:− 1201:− 1131:… 1066:… 1001:… 936:… 862:→ 853:− 823:… 812:→ 777:→ 726:− 709:… 585:direction 562:^ 517:^ 502:^ 493:⋅ 476:^ 461:^ 452:⋅ 359:− 343:× 327:− 308:⋅ 292:− 234:− 218:⋅ 199:− 183:× 167:− 67:intersect 1588:Category 1499:See also 1482:vertices 63:parallel 36:coplanar 32:geometry 18:Coplanar 1478:polygon 1169:if the 666:points 583:in the 577:⁠ 548:⁠ 421:(i.e., 1545:  1493:volume 1480:whose 1171:matrix 875:is of 829:  820:  785:  715:  706:  690:  651:In an 642:ad hoc 546:where 97:normal 1476:is a 95:is a 59:lines 40:plane 1543:ISBN 877:rank 609:and 427:and 57:Two 1539:647 660:≥ 3 615:on 603:on 597:of 587:of 419:= 0 30:In 1590:: 1572:. 1541:, 1487:A 1472:A 648:. 627:. 415:⋅ 405:, 401:, 381:0. 253:0. 132:, 125:, 118:, 107:: 73:. 1578:. 1462:k 1458:k 1436:] 1428:n 1424:w 1415:n 1411:z 1398:2 1394:w 1385:2 1381:z 1373:1 1369:w 1360:1 1356:z 1346:n 1342:w 1333:n 1329:y 1316:2 1312:w 1303:2 1299:y 1291:1 1287:w 1278:1 1274:y 1264:n 1260:w 1251:n 1247:x 1234:2 1230:w 1221:2 1217:x 1209:1 1205:w 1196:1 1192:x 1185:[ 1150:, 1147:) 1142:n 1138:w 1134:, 1128:, 1123:2 1119:w 1115:, 1110:1 1106:w 1102:( 1099:= 1092:W 1085:, 1082:) 1077:n 1073:z 1069:, 1063:, 1058:2 1054:z 1050:, 1045:1 1041:z 1037:( 1034:= 1027:Z 1020:, 1017:) 1012:n 1008:y 1004:, 998:, 993:2 989:y 985:, 980:1 976:y 972:( 969:= 962:Y 955:, 952:) 947:n 943:x 939:, 933:, 928:2 924:x 920:, 915:1 911:x 907:( 904:= 897:X 856:1 850:k 846:p 840:0 836:p 826:, 817:, 806:2 802:p 796:0 792:p 782:, 771:1 767:p 761:0 757:p 734:} 729:1 723:k 719:p 712:, 703:, 698:1 694:p 687:, 682:0 678:p 674:{ 664:k 658:n 653:n 633:n 624:c 618:b 612:c 606:a 600:c 590:a 559:a 531:, 527:c 523:= 514:b 508:) 499:b 489:c 485:( 482:+ 473:a 467:) 458:a 448:c 444:( 430:b 424:a 417:b 413:a 407:c 403:b 399:a 378:= 375:] 372:) 367:1 363:x 354:3 350:x 346:( 340:) 335:1 331:x 322:4 318:x 314:( 311:[ 305:) 300:1 296:x 287:2 283:x 279:( 250:= 247:) 242:1 238:x 229:3 225:x 221:( 215:] 212:) 207:1 203:x 194:4 190:x 186:( 180:) 175:1 171:x 162:2 158:x 154:( 151:[ 137:4 134:x 130:3 127:x 123:2 120:x 116:1 113:x 20:)

Index

Coplanar
geometry
plane
non-collinear

lines
parallel
intersect
skew lines
Distance geometry
linearly independent
cross product
normal
orthogonal
scalar triple product
unit vector
direction
vector projections
linearly independent vectors
rank
matrix
skew polygon
polygon
vertices
polyhedron
volume
Collinearity
Plane of incidence
Calculus with Analytic Geometry
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