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Matrix similarity

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Because matrices are similar if and only if they represent the same linear operator with respect to (possibly) different bases, similar matrices share all properties of their shared underlying operator:
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When defining a linear transformation, it can be the case that a change of basis can result in a simpler form of the same transformation. For example, the matrix representing a rotation in
743:. The transform in the original basis is found to be the product of three easy-to-derive matrices. In effect, the similarity transform operates in three steps: change to a new basis ( 401:
are respectively the original and transformed vectors in a new basis containing a vector parallel to the axis of rotation. In the original basis, the transform would be written as
391: 121: 741: 527: 493: 349: 431: 699: 672:{\displaystyle {\begin{aligned}&&y'&=Sx'\\&\Rightarrow &Py&=SPx\\&\Rightarrow &y&=\left(P^{-1}SP\right)x=Tx\end{aligned}}} 906:
does not have these drawbacks: it exists over any field, is truly unique, and it can be computed using only arithmetic operations in the field;
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are similar if and only if they have the same rational canonical form. The rational canonical form is determined by the elementary divisors of
918:; these can be immediately read off from a matrix in Jordan form, but they can also be determined directly for any matrix by computing the 324:{\displaystyle S={\begin{bmatrix}\cos \theta &-\sin \theta &0\\\sin \theta &\cos \theta &0\\0&0&1\end{bmatrix}},} 24: 1010:. This means that one may use Jordan forms that only exist over a larger field to determine whether the given matrices are similar. 956:
either, but obtained from the latter by left and right multiplications by different invertible matrices (with polynomial entries).
937:(the same one whose determinant defines the characteristic polynomial). Note that this Smith normal form is not a normal form of 211:
is not aligned with the coordinate axis can be complicated to compute. If the axis of rotation were aligned with the positive
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of the general linear group, the notion of conjugacy may be more restrictive than similarity, since it requires that
81: 894:. Neither of these forms is unique (diagonal entries or Jordan blocks may be permuted) so they are not really 354: 208: 898:; moreover their determination depends on being able to factor the minimal or characteristic polynomial of 798: 404: 1065:
states that two matrices are unitarily equivalent if and only if they satisfy certain trace equalities.
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of eigenvalues (but not the eigenspaces, which are transformed according to the base change matrix
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is the angle of rotation. In the new coordinate system, the transformation would be written as
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A First Course In Linear Algebra: with Optional Introduction to Groups, Rings, and Fields
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in terms of the simpler matrix, we use the change-of-basis matrix
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Similarity of matrices does not depend on the base field: if
882:. Not all matrices are diagonalizable, but at least over the 1194:(Similarity is discussed many places, starting at page 44.) 1002:. This is so because the rational canonical form over 854:, one is interested in finding a simple "normal form" 233: 707: 687: 535: 501: 467: 407: 357: 337: 221: 84: 16:
Equivalence under a change of basis (linear algebra)
1115: 1114:Beauregard, Raymond A.; Fraleigh, John B. (1973). 1113: 735: 693: 671: 521: 487: 425: 385: 343: 323: 115: 1061:is unitarily equivalent to some diagonal matrix. 1200: 866:then reduces to the study of the simpler matrix 1013:In the definition of similarity, if the matrix 785:, and attributes that can be derived from it: 1178:Horn, Roger A.; Johnson, Charles R. (1985). 902:(equivalently to find its eigenvalues). The 1177: 890:), every matrix is similar to a matrix in 832:, up to a permutation of the Jordan blocks 25:Similarity transformation (disambiguation) 1006:is also the rational canonical form over 681:Thus, the matrix in the original basis, 1146: 177:, and similar matrices are also called 1201: 941:itself; moreover it is not similar to 747:), perform the simple transformation ( 171:, similarity is therefore the same as 1170: 751:), and change back to the old basis ( 196: 850:Because of this, for a given matrix 445:are in the original basis. To write 123:Similar matrices represent the same 13: 998:they are similar as matrices over 14: 1225: 769:on the space of square matrices. 441:and the unknown transform matrix 1149:Matrix Methods: An Introduction 215:-axis, then it would simply be 181:; however, in a given subgroup 127:under two (possibly) different 1182:. Cambridge University Press. 1140: 1107: 609: 575: 1: 1095: 991:are similar as matrices over 760: 1100: 7: 1068: 116:{\displaystyle B=P^{-1}AP.} 10: 1230: 888:algebraically closed field 736:{\displaystyle T=P^{-1}SP} 29: 18: 1214:Equivalence (mathematics) 1147:Bronson, Richard (1970), 783:Characteristic polynomial 157:similarity transformation 810:Geometric multiplicities 803:algebraic multiplicities 30:Not to be confused with 904:rational canonical form 386:{\displaystyle y'=Sx',} 344:{\displaystyle \theta } 1037:can be chosen to be a 1017:can be chosen to be a 979:are two matrices over 963:is a field containing 878:if it is similar to a 845:principal ideal domain 737: 695: 673: 523: 489: 427: 387: 345: 325: 117: 1051:unitarily equivalent. 825:Frobenius normal form 738: 696: 674: 524: 522:{\displaystyle y'=Py} 490: 488:{\displaystyle x'=Px} 428: 426:{\displaystyle y=Tx,} 388: 346: 326: 118: 21:Similarity (geometry) 1155:, pp. 176–178, 1124:Houghton Mifflin Co. 1031:permutation-similar; 858:which is similar to 767:equivalence relation 705: 685: 533: 499: 465: 405: 355: 335: 219: 189:be chosen to lie in 169:general linear group 82: 19:For other uses, see 841:Elementary divisors 836:Index of nilpotence 63:if there exists an 1171:General references 1126:pp. 240–243. 1085:Matrix equivalence 1019:permutation matrix 830:Jordan normal form 820:Minimal polynomial 733: 691: 669: 667: 519: 485: 423: 383: 341: 321: 312: 197:Motivating example 113: 1080:Matrix congruence 920:Smith normal form 765:Similarity is an 694:{\displaystyle T} 142:A transformation 32:similarity matrix 1221: 1193: 1164: 1163: 1144: 1138: 1137: 1121: 1111: 1063:Specht's theorem 1057:says that every 1055:spectral theorem 955: 936: 756: 750: 746: 742: 740: 739: 734: 726: 725: 700: 698: 697: 692: 678: 676: 675: 670: 668: 652: 648: 641: 640: 605: 571: 567: 549: 540: 539: 528: 526: 525: 520: 509: 494: 492: 491: 486: 475: 460: 456: 453:that transforms 452: 448: 444: 440: 436: 432: 430: 429: 424: 400: 396: 392: 390: 389: 384: 379: 365: 350: 348: 347: 342: 330: 328: 327: 322: 317: 316: 214: 209:axis of rotation 206: 192: 188: 184: 166: 154: 134: 122: 120: 119: 114: 103: 102: 77: 58: 54: 1229: 1228: 1224: 1223: 1222: 1220: 1219: 1218: 1199: 1198: 1197: 1190: 1180:Matrix Analysis 1173: 1168: 1167: 1145: 1141: 1134: 1112: 1108: 1103: 1098: 1090:Jacobi rotation 1075:Canonical forms 1071: 950: 942: 931: 923: 884:complex numbers 880:diagonal matrix 870:. For example, 763: 752: 748: 744: 718: 714: 706: 703: 702: 686: 683: 682: 666: 665: 633: 629: 628: 624: 617: 612: 603: 602: 586: 578: 569: 568: 560: 550: 542: 536: 534: 531: 530: 502: 500: 497: 496: 468: 466: 463: 462: 458: 454: 450: 446: 442: 438: 434: 406: 403: 402: 398: 394: 372: 358: 356: 353: 352: 336: 333: 332: 311: 310: 305: 300: 294: 293: 288: 277: 265: 264: 259: 245: 229: 228: 220: 217: 216: 212: 202: 199: 190: 186: 182: 164: 143: 137:change of basis 132: 95: 91: 83: 80: 79: 75: 56: 52: 35: 28: 17: 12: 11: 5: 1227: 1217: 1216: 1211: 1196: 1195: 1188: 1174: 1172: 1169: 1166: 1165: 1153:Academic Press 1139: 1132: 1105: 1104: 1102: 1099: 1097: 1094: 1093: 1092: 1087: 1082: 1077: 1070: 1067: 1039:unitary matrix 996:if and only if 946: 927: 876:diagonalizable 862:—the study of 848: 847: 838: 833: 827: 822: 817: 807: 806: 805: 796: 791: 780: 762: 759: 732: 729: 724: 721: 717: 713: 710: 701:, is given by 690: 664: 661: 658: 655: 651: 647: 644: 639: 636: 632: 627: 623: 620: 618: 616: 613: 611: 608: 606: 604: 601: 598: 595: 592: 589: 587: 585: 582: 579: 577: 574: 572: 570: 566: 563: 559: 556: 553: 551: 548: 545: 541: 538: 518: 515: 512: 508: 505: 484: 481: 478: 474: 471: 433:where vectors 422: 419: 416: 413: 410: 382: 378: 375: 371: 368: 364: 361: 340: 320: 315: 309: 306: 304: 301: 299: 296: 295: 292: 289: 287: 284: 281: 278: 276: 273: 270: 267: 266: 263: 260: 258: 255: 252: 249: 246: 244: 241: 238: 235: 234: 232: 227: 224: 198: 195: 163:of the matrix 112: 109: 106: 101: 98: 94: 90: 87: 39:linear algebra 15: 9: 6: 4: 3: 2: 1226: 1215: 1212: 1210: 1207: 1206: 1204: 1191: 1189:0-521-38632-2 1185: 1181: 1176: 1175: 1162: 1158: 1154: 1150: 1143: 1135: 1133:0-395-14017-X 1129: 1125: 1120: 1119: 1110: 1106: 1091: 1088: 1086: 1083: 1081: 1078: 1076: 1073: 1072: 1066: 1064: 1060: 1059:normal matrix 1056: 1052: 1048: 1044: 1040: 1036: 1032: 1028: 1024: 1020: 1016: 1011: 1009: 1005: 1001: 997: 994: 990: 986: 982: 978: 974: 970: 966: 962: 957: 954: 949: 945: 940: 935: 930: 926: 921: 917: 913: 909: 905: 901: 897: 893: 889: 885: 881: 877: 873: 869: 865: 861: 857: 853: 846: 842: 839: 837: 834: 831: 828: 826: 823: 821: 818: 815: 811: 808: 804: 800: 797: 795: 792: 790: 787: 786: 784: 781: 779: 776: 775: 774: 770: 768: 758: 755: 730: 727: 722: 719: 715: 711: 708: 688: 679: 662: 659: 656: 653: 649: 645: 642: 637: 634: 630: 625: 621: 619: 614: 607: 599: 596: 593: 590: 588: 583: 580: 573: 564: 561: 557: 554: 552: 546: 543: 516: 513: 510: 506: 503: 482: 479: 476: 472: 469: 420: 417: 414: 411: 408: 380: 376: 373: 369: 366: 362: 359: 338: 318: 313: 307: 302: 297: 290: 285: 282: 279: 274: 271: 268: 261: 256: 253: 250: 247: 242: 239: 236: 230: 225: 222: 210: 205: 194: 180: 176: 175: 170: 162: 158: 153: 150: 146: 140: 138: 130: 126: 110: 107: 104: 99: 96: 92: 88: 85: 73: 69: 66: 62: 51: 48: 44: 40: 33: 26: 22: 1179: 1151:, New York: 1148: 1142: 1117: 1109: 1050: 1046: 1042: 1034: 1030: 1026: 1022: 1014: 1012: 1007: 1003: 999: 992: 988: 984: 980: 976: 972: 964: 960: 958: 952: 947: 943: 938: 933: 928: 924: 915: 911: 907: 899: 896:normal forms 871: 867: 863: 859: 855: 851: 849: 813: 801:, and their 771: 764: 753: 680: 203: 200: 178: 172: 160: 156: 155:is called a 151: 148: 144: 141: 71: 67: 60: 46: 42: 36: 892:Jordan form 799:Eigenvalues 789:Determinant 161:conjugation 59:are called 1203:Categories 1122:. Boston: 1096:References 874:is called 761:Properties 167:. In the 135:being the 125:linear map 78:such that 65:invertible 1101:Citations 720:− 635:− 610:⇒ 576:⇒ 339:θ 286:θ 283:⁡ 275:θ 272:⁡ 257:θ 254:⁡ 248:− 243:θ 240:⁡ 207:when the 179:conjugate 174:conjugacy 97:− 1209:Matrices 1161:70097490 1069:See also 969:subfield 886:(or any 565:′ 547:′ 507:′ 473:′ 377:′ 363:′ 139:matrix. 50:matrices 983:, then 131:, with 74:matrix 61:similar 1186:  1159:  1130:  971:, and 816:used). 393:where 331:where 41:, two 1041:then 1021:then 967:as a 794:Trace 129:bases 1184:ISBN 1157:LCCN 1128:ISBN 1053:The 1049:are 1045:and 1029:are 1025:and 987:and 975:and 910:and 778:Rank 495:and 457:and 437:and 397:and 70:-by- 55:and 45:-by- 23:and 1033:if 757:). 461:as 280:cos 269:sin 251:sin 237:cos 159:or 37:In 1205:: 951:− 944:XI 932:− 925:XI 529:: 399:y' 395:x' 193:. 152:AP 147:↦ 1192:. 1136:. 1047:B 1043:A 1035:P 1027:B 1023:A 1015:P 1008:L 1004:K 1000:L 993:K 989:B 985:A 981:K 977:B 973:A 965:K 961:L 953:A 948:n 939:A 934:A 929:n 916:A 912:B 908:A 900:A 872:A 868:B 864:A 860:A 856:B 852:A 814:P 754:P 749:S 745:P 731:P 728:S 723:1 716:P 712:= 709:T 689:T 663:x 660:T 657:= 654:x 650:) 646:P 643:S 638:1 631:P 626:( 622:= 615:y 600:x 597:P 594:S 591:= 584:y 581:P 562:x 558:S 555:= 544:y 517:y 514:P 511:= 504:y 483:x 480:P 477:= 470:x 459:y 455:x 451:P 447:T 443:T 439:y 435:x 421:, 418:x 415:T 412:= 409:y 381:, 374:x 370:S 367:= 360:y 319:, 314:] 308:1 303:0 298:0 291:0 262:0 231:[ 226:= 223:S 213:z 204:R 191:H 187:P 183:H 165:A 149:P 145:A 133:P 111:. 108:P 105:A 100:1 93:P 89:= 86:B 76:P 72:n 68:n 57:B 53:A 47:n 43:n 34:. 27:.

Index

Similarity (geometry)
Similarity transformation (disambiguation)
similarity matrix
linear algebra
matrices
invertible
linear map
bases
change of basis
general linear group
conjugacy
axis of rotation
equivalence relation
Rank
Characteristic polynomial
Determinant
Trace
Eigenvalues
algebraic multiplicities
Geometric multiplicities
Minimal polynomial
Frobenius normal form
Jordan normal form
Index of nilpotence
Elementary divisors
principal ideal domain
diagonalizable
diagonal matrix
complex numbers
algebraically closed field

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