- Page 1 and 2:
Linear Algebra, Theory And Applicat
- Page 3 and 4:
Contents 1 Preliminaries 11 1.1 Set
- Page 5 and 6:
CONTENTS 5 8 Vector Spaces And Fiel
- Page 7 and 8:
CONTENTS 7 E The Fundamental Theore
- Page 9 and 10:
Preface This is a book on linear al
- Page 11 and 12:
Preliminaries 1.1 Sets And Set Nota
- Page 13 and 14:
1.3. THE NUMBER LINE AND ALGEBRA OF
- Page 15 and 16:
1.5. THE COMPLEX NUMBERS 15 Also fr
- Page 17 and 18:
1.5. THE COMPLEX NUMBERS 17 and so
- Page 19 and 20:
1.6. EXERCISES 19 Eventually, for r
- Page 21 and 22:
1.8. WELL ORDERING AND ARCHIMEDEAN
- Page 23 and 24:
1.9. DIVISION AND NUMBERS 23 Theore
- Page 25 and 26:
1.9. DIVISION AND NUMBERS 25 Exampl
- Page 27 and 28:
1.10. SYSTEMS OF EQUATIONS 27 Why i
- Page 29 and 30:
1.10. SYSTEMS OF EQUATIONS 29 The a
- Page 31 and 32:
1.11. EXERCISES 31 It follows x =
- Page 33 and 34:
1.14. EXERCISES 33 the existence of
- Page 35 and 36:
1.15. THE INNER PRODUCT IN F N 35 s
- Page 37 and 38:
Matrices And Linear Transformations
- Page 39 and 40:
2.1. MATRICES 39 Definition 2.1.2 M
- Page 41 and 42:
2.1. MATRICES 41 is it possible to
- Page 43 and 44:
2.1. MATRICES 43 a3× 3 matrix as d
- Page 45 and 46:
2.1. MATRICES 45 1 2 3 4 Write the
- Page 47 and 48:
= ∑ k ( B T ) ik ( A T ) kj 2.1.
- Page 49 and 50:
2.1. MATRICES 49 As described above
- Page 51 and 52:
2.2. EXERCISES 51 Write the augment
- Page 53 and 54:
2.3. LINEAR TRANSFORMATIONS 53 (e)
- Page 55 and 56:
2.3. LINEAR TRANSFORMATIONS 55 Proo
- Page 57 and 58:
2.4. SUBSPACES AND SPANS 57 Proof:
- Page 59 and 60:
2.4. SUBSPACES AND SPANS 59 Proof 3
- Page 61 and 62:
2.5. AN APPLICATION TO MATRICES 61
- Page 63 and 64:
2.6. MATRICES AND CALCULUS 63 2.6.1
- Page 65 and 66:
2.6. MATRICES AND CALCULUS 65 where
- Page 67 and 68:
2.6. MATRICES AND CALCULUS 67 There
- Page 69 and 70:
2.6. MATRICES AND CALCULUS 69 Using
- Page 71 and 72:
2.7. EXERCISES 71 this will suffice
- Page 73 and 74:
2.7. EXERCISES 73 22. If A is a lin
- Page 75 and 76:
2.7. EXERCISES 75 35. ↑Suppose yo
- Page 77 and 78:
Determinants 3.1 Basic Techniques A
- Page 79 and 80:
3.1. BASIC TECHNIQUES AND PROPERTIE
- Page 81 and 82:
3.2. EXERCISES 81 First note det (A
- Page 83 and 84:
3.3. THE MATHEMATICAL THEORY OF DET
- Page 85 and 86:
3.3. THE MATHEMATICAL THEORY OF DET
- Page 87 and 88:
3.3. THE MATHEMATICAL THEORY OF DET
- Page 89 and 90:
3.3. THE MATHEMATICAL THEORY OF DET
- Page 91 and 92:
3.3. THE MATHEMATICAL THEORY OF DET
- Page 93 and 94:
3.3. THE MATHEMATICAL THEORY OF DET
- Page 95 and 96:
3.3. THE MATHEMATICAL THEORY OF DET
- Page 97 and 98:
3.4. THE CAYLEY HAMILTON THEOREM 97
- Page 99 and 100:
3.5. BLOCK MULTIPLICATION OF MATRIC
- Page 101 and 102:
3.5. BLOCK MULTIPLICATION OF MATRIC
- Page 103 and 104:
3.6. EXERCISES 103 derivatives so i
- Page 105 and 106:
Row Operations 4.1 Elementary Matri
- Page 107 and 108:
4.1. ELEMENTARY MATRICES 107 This h
- Page 109 and 110:
4.1. ELEMENTARY MATRICES 109 Now co
- Page 111 and 112:
4.2. THE RANK OF A MATRIX 111 So ho
- Page 113 and 114:
4.3. THE ROW REDUCED ECHELON FORM 1
- Page 115 and 116:
4.3. THE ROW REDUCED ECHELON FORM 1
- Page 117 and 118:
4.5. FREDHOLM ALTERNATIVE 117 Proof
- Page 119 and 120:
4.6. EXERCISES 119 5. ↑Consider t
- Page 121 and 122:
4.6. EXERCISES 121 18. Suppose A is
- Page 123 and 124:
Some Factorizations 5.1 LU Factoriz
- Page 125 and 126:
5.3. SOLVING LINEAR SYSTEMS USING A
- Page 127 and 128:
5.5. JUSTIFICATION FOR THE MULTIPLI
- Page 129 and 130:
5.6. EXISTENCE FOR THE PLU FACTORIZ
- Page 131 and 132: 5.7. THE QR FACTORIZATION 131 so it
- Page 133 and 134: 5.8. EXERCISES 133 Theorem 5.7.5 Le
- Page 135 and 136: Linear Programming 6.1 Simple Geome
- Page 137 and 138: 6.2. THE SIMPLEX TABLEAU 137 set x
- Page 139 and 140: 6.2. THE SIMPLEX TABLEAU 139 lution
- Page 141 and 142: 6.3. THE SIMPLEX ALGORITHM 141 Let
- Page 143 and 144: 6.3. THE SIMPLEX ALGORITHM 143 the
- Page 145 and 146: 6.3. THE SIMPLEX ALGORITHM 145 by 2
- Page 147 and 148: 6.3. THE SIMPLEX ALGORITHM 147 I ne
- Page 149 and 150: 6.3. THE SIMPLEX ALGORITHM 149 Of c
- Page 151 and 152: 6.4. FINDING A BASIC FEASIBLE SOLUT
- Page 153 and 154: 6.5. DUALITY 153 Now recall that to
- Page 155 and 156: 6.5. DUALITY 155 and there are stil
- Page 157 and 158: Spectral Theory Spectral Theory ref
- Page 159 and 160: 7.1. EIGENVALUES AND EIGENVECTORS O
- Page 161 and 162: 7.1. EIGENVALUES AND EIGENVECTORS O
- Page 163 and 164: 7.1. EIGENVALUES AND EIGENVECTORS O
- Page 165 and 166: 7.2. SOME APPLICATIONS OF EIGENVALU
- Page 167 and 168: 7.3. EXERCISES 167 Therefore, the e
- Page 169 and 170: 7.3. EXERCISES 169 22. Find the com
- Page 171 and 172: 7.3. EXERCISES 171 38. Let M be an
- Page 173 and 174: 7.4. SCHUR’S THEOREM 173 7.4 Schu
- Page 175 and 176: 7.4. SCHUR’S THEOREM 175 Proof: L
- Page 177 and 178: 7.4. SCHUR’S THEOREM 177 and furt
- Page 179 and 180: 7.4. SCHUR’S THEOREM 179 Proof: F
- Page 181: 7.6. QUADRATIC FORMS 181 7.6 Quadra
- Page 185 and 186: 7.7. SECOND DERIVATIVE TEST 185 The
- Page 187 and 188: 7.9. ADVANCED THEOREMS 187 for find
- Page 189 and 190: 7.9. ADVANCED THEOREMS 189 Proof: D
- Page 191 and 192: 7.10. EXERCISES 191 Show that the a
- Page 193 and 194: 7.10. EXERCISES 193 27. Let f (x, y
- Page 195 and 196: 7.10. EXERCISES 195 40. In the abov
- Page 197 and 198: 7.10. EXERCISES 197 44. Show that i
- Page 199 and 200: Vector Spaces And Fields 8.1 Vector
- Page 201 and 202: 8.2. SUBSPACES AND BASES 201 8.2.2
- Page 203 and 204: 8.2. SUBSPACES AND BASES 203 Defini
- Page 205 and 206: 8.3. LOTS OF FIELDS 205 such that 0
- Page 207 and 208: 8.3. LOTS OF FIELDS 207 and this is
- Page 209 and 210: 8.3. LOTS OF FIELDS 209 Lemma 8.3.9
- Page 211 and 212: 8.3. LOTS OF FIELDS 211 Definition
- Page 213 and 214: 8.3. LOTS OF FIELDS 213 Then, since
- Page 215 and 216: 8.3. LOTS OF FIELDS 215 Proposition
- Page 217 and 218: 8.3. LOTS OF FIELDS 217 where deg r
- Page 219 and 220: 8.4. EXERCISES 219 8.3.4 The Lindem
- Page 221 and 222: 8.4. EXERCISES 221 18. If you have
- Page 223 and 224: 8.4. EXERCISES 223 first is not har
- Page 225 and 226: Linear Transformations 9.1 Matrix M
- Page 227 and 228: 9.3. THE MATRIX OF A LINEAR TRANSFO
- Page 229 and 230: 9.3. THE MATRIX OF A LINEAR TRANSFO
- Page 231 and 232: 9.3. THE MATRIX OF A LINEAR TRANSFO
- Page 233 and 234:
9.3. THE MATRIX OF A LINEAR TRANSFO
- Page 235 and 236:
9.3. THE MATRIX OF A LINEAR TRANSFO
- Page 237 and 238:
9.3. THE MATRIX OF A LINEAR TRANSFO
- Page 239 and 240:
9.3. THE MATRIX OF A LINEAR TRANSFO
- Page 241 and 242:
9.4. EIGENVALUES AND EIGENVECTORS O
- Page 243 and 244:
9.5. EXERCISES 243 9. ↑In the sit
- Page 245 and 246:
Linear Transformations Canonical Fo
- Page 247 and 248:
10.1. A THEOREM OF SYLVESTER, DIREC
- Page 249 and 250:
10.2. DIRECT SUMS, BLOCK DIAGONAL M
- Page 251 and 252:
10.3. CYCLIC SETS 251 while ⎛ ⎞
- Page 253 and 254:
10.3. CYCLIC SETS 253 Since β x is
- Page 255 and 256:
10.4. NILPOTENT TRANSFORMATIONS 255
- Page 257 and 258:
10.5. THE JORDAN CANONICAL FORM 257
- Page 259 and 260:
10.5. THE JORDAN CANONICAL FORM 259
- Page 261 and 262:
10.5. THE JORDAN CANONICAL FORM 261
- Page 263 and 264:
10.6. EXERCISES 263 8. Let ⎛ A =
- Page 265 and 266:
10.6. EXERCISES 265 Now use this in
- Page 267 and 268:
10.7. THE RATIONAL CANONICAL FORM 2
- Page 269 and 270:
10.8. UNIQUENESS 269 Thus the matri
- Page 271 and 272:
10.8. UNIQUENESS 271 The characteri
- Page 273 and 274:
10.9. EXERCISES 273 Then doing the
- Page 275 and 276:
Markov Chains And Migration Process
- Page 277 and 278:
11.1. REGULAR MARKOV MATRICES 277 O
- Page 279 and 280:
11.2. MIGRATION MATRICES 279 11.2 M
- Page 281 and 282:
11.3. MARKOV CHAINS 281 After many
- Page 283 and 284:
11.3. MARKOV CHAINS 283 and the fac
- Page 285 and 286:
11.4. EXERCISES 285 5. Show that wh
- Page 287 and 288:
Inner Product Spaces 12.1 General T
- Page 289 and 290:
12.2. THE GRAM SCHMIDT PROCESS 289
- Page 291 and 292:
12.2. THE GRAM SCHMIDT PROCESS 291
- Page 293 and 294:
12.3. RIESZ REPRESENTATION THEOREM
- Page 295 and 296:
12.4. THE TENSOR PRODUCT OF TWO VEC
- Page 297 and 298:
12.5. LEAST SQUARES 297 Lemma 12.5.
- Page 299 and 300:
12.7. EXERCISES 299 4. Let ||x||
- Page 301 and 302:
12.7. EXERCISES 301 (√ √ ) 2 C
- Page 303 and 304:
12.8. THE DETERMINANT AND VOLUME 30
- Page 305 and 306:
12.8. THE DETERMINANT AND VOLUME 30
- Page 307 and 308:
Self Adjoint Operators 13.1 Simulta
- Page 309 and 310:
13.1. SIMULTANEOUS DIAGONALIZATION
- Page 311 and 312:
13.2. SCHUR’S THEOREM 311 Proof:
- Page 313 and 314:
13.3. SPECTRAL THEORY OF SELF ADJOI
- Page 315 and 316:
13.3. SPECTRAL THEORY OF SELF ADJOI
- Page 317 and 318:
13.4. POSITIVE AND NEGATIVE LINEAR
- Page 319 and 320:
13.5. FRACTIONAL POWERS 319 Proof:
- Page 321 and 322:
13.5. FRACTIONAL POWERS 321 Proof:
- Page 323 and 324:
13.6. POLAR DECOMPOSITIONS 323 Proo
- Page 325 and 326:
13.7. AN APPLICATION TO STATISTICS
- Page 327 and 328:
13.8. THE SINGULAR VALUE DECOMPOSIT
- Page 329 and 330:
13.9. APPROXIMATION IN THE FROBENIU
- Page 331 and 332:
13.10. LEAST SQUARES AND SINGULAR V
- Page 333 and 334:
13.11. THE MOORE PENROSE INVERSE 33
- Page 335 and 336:
13.12. EXERCISES 335 8. Prove the C
- Page 337 and 338:
Norms For Finite Dimensional Vector
- Page 339 and 340:
339 This proves the first half of t
- Page 341 and 342:
341 Next consider the claim that ||
- Page 343 and 344:
14.1. THE P NORMS 343 14.1 The p No
- Page 345 and 346:
14.2. THE CONDITION NUMBER 345 Thus
- Page 347 and 348:
14.2. THE CONDITION NUMBER 347 Sinc
- Page 349 and 350:
14.3. THE SPECTRAL RADIUS 349 ⎛ =
- Page 351 and 352:
14.4. SERIES AND SEQUENCES OF LINEA
- Page 353 and 354:
14.4. SERIES AND SEQUENCES OF LINEA
- Page 355 and 356:
14.5. ITERATIVE METHODS FOR LINEAR
- Page 357 and 358:
14.5. ITERATIVE METHODS FOR LINEAR
- Page 359 and 360:
14.5. ITERATIVE METHODS FOR LINEAR
- Page 361 and 362:
14.6. THEORY OF CONVERGENCE 361 Lem
- Page 363 and 364:
14.7. EXERCISES 363 Proof: From Lem
- Page 365 and 366:
14.7. EXERCISES 365 11. Suppose ρ
- Page 367 and 368:
14.7. EXERCISES 367 Next take e tλ
- Page 369 and 370:
14.7. EXERCISES 369 24. Suppose A i
- Page 371 and 372:
Numerical Methods For Finding Eigen
- Page 373 and 374:
15.1. THE POWER METHOD FOR EIGENVAL
- Page 375 and 376:
15.1. THE POWER METHOD FOR EIGENVAL
- Page 377 and 378:
15.1. THE POWER METHOD FOR EIGENVAL
- Page 379 and 380:
15.1. THE POWER METHOD FOR EIGENVAL
- Page 381 and 382:
15.1. THE POWER METHOD FOR EIGENVAL
- Page 383 and 384:
15.1. THE POWER METHOD FOR EIGENVAL
- Page 385 and 386:
15.1. THE POWER METHOD FOR EIGENVAL
- Page 387 and 388:
15.2. THE QR ALGORITHM 387 each a v
- Page 389 and 390:
15.2. THE QR ALGORITHM 389 Proof: L
- Page 391 and 392:
15.2. THE QR ALGORITHM 391 where
- Page 393 and 394:
15.2. THE QR ALGORITHM 393 Corollar
- Page 395 and 396:
15.2. THE QR ALGORITHM 395 below th
- Page 397 and 398:
15.2. THE QR ALGORITHM 397 where R
- Page 399 and 400:
15.2. THE QR ALGORITHM 399 A matrix
- Page 401 and 402:
15.3. EXERCISES 401 where A k = Q k
- Page 403 and 404:
Positive Matrices Earlier theorems
- Page 405 and 406:
405 |μ| ≤λ 0 . But also, the fa
- Page 407 and 408:
407 which says x 0 −x 0 v T x 0 =
- Page 409 and 410:
409 must have the same argument for
- Page 411 and 412:
Functions Of Matrices The existence
- Page 413 and 414:
413 There is no convergence problem
- Page 415 and 416:
415 This gives us a nice definition
- Page 417 and 418:
Applications To Differential Equati
- Page 419 and 420:
C.3. LOCAL SOLUTIONS 419 C.3 Local
- Page 421 and 422:
C.4. FIRST ORDER LINEAR SYSTEMS 421
- Page 423 and 424:
C.4. FIRST ORDER LINEAR SYSTEMS 423
- Page 425 and 426:
C.4. FIRST ORDER LINEAR SYSTEMS 425
- Page 427 and 428:
C.4. FIRST ORDER LINEAR SYSTEMS 427
- Page 429 and 430:
C.5. GEOMETRIC THEORY OF AUTONOMOUS
- Page 431 and 432:
C.5. GEOMETRIC THEORY OF AUTONOMOUS
- Page 433 and 434:
C.6. GENERAL GEOMETRIC THEORY 433 T
- Page 435 and 436:
C.7. THESTABLEMANIFOLD 435 Lemma C.
- Page 437 and 438:
C.7. THESTABLEMANIFOLD 437 ≤ e γ
- Page 439 and 440:
Compactness And Completeness D.0.1
- Page 441 and 442:
441 |a k − a l | < ε 2 .Thenifk>
- Page 443 and 444:
The Fundamental Theorem Of Algebra
- Page 445 and 446:
Fields And Field Extensions F.1 The
- Page 447 and 448:
F.2. THE FUNDAMENTAL THEOREM OF ALG
- Page 449 and 450:
F.2. THE FUNDAMENTAL THEOREM OF ALG
- Page 451 and 452:
F.3. TRANSCENDENTAL NUMBERS 451 F.3
- Page 453 and 454:
F.3. TRANSCENDENTAL NUMBERS 453 It
- Page 455 and 456:
F.3. TRANSCENDENTAL NUMBERS 455 Not
- Page 457 and 458:
F.3. TRANSCENDENTAL NUMBERS 457 Thi
- Page 459 and 460:
F.4. MORE ON ALGEBRAIC FIELD EXTENS
- Page 461 and 462:
F.4. MORE ON ALGEBRAIC FIELD EXTENS
- Page 463 and 464:
F.4. MORE ON ALGEBRAIC FIELD EXTENS
- Page 465 and 466:
F.5. THE GALOIS GROUP 465 a rationa
- Page 467 and 468:
F.5. THE GALOIS GROUP 467 Now let
- Page 469 and 470:
F.6. NORMAL SUBGROUPS 469 If H is a
- Page 471 and 472:
F.8. CONDITIONS FOR SEPARABILITY 47
- Page 473 and 474:
F.8. CONDITIONS FOR SEPARABILITY 47
- Page 475 and 476:
F.9. PERMUTATIONS 475 of f (x) ands
- Page 477 and 478:
F.9. PERMUTATIONS 477 smallest k
- Page 479 and 480:
F.10. SOLVABLE GROUPS 479 Then i 1
- Page 481 and 482:
F.10. SOLVABLE GROUPS 481 Thus ever
- Page 483 and 484:
F.11. SOLVABILITY BY RADICALS 483 A
- Page 485 and 486:
Bibliography [1] Apostol T., Calcul
- Page 487 and 488:
Answers To Selected Exercises G.1 E
- Page 489 and 490:
G.7. EXERCISES 489 15 Find the matr
- Page 491 and 492:
G.10. EXERCISES 491 11 It follows f
- Page 493 and 494:
G.13. EXERCISES 493 19 ⎛ ⎝ 4
- Page 495 and 496:
G.19. EXERCISES 495 8 λ 3 − λ 2
- Page 497 and 498:
G.23. EXERCISES 497 ⎧⎛ ⎞⎫
- Page 499 and 500:
INDEX 499 defective, 162 DeMoivre i
- Page 501 and 502:
INDEX 501 rotation, 235 linear tran
- Page 503:
INDEX 503 scalars, 18, 32, 37 Schur