Basic Matrix Algebra with Algorithms and Applications ERRATA - March 2006 p 17 p 19 p 24 p 28 p 37 p 39 p 40 p 46 l -12 l 16 l -1 l -2 l7 l4 l -4 5-8 p 48 p 57 l9 l 14 l -2 l5 p 59 p 60 l -2 l 10 p 66 l -3 p 71 p 77 p 80 p 82 p 98 p 102 l1 l -4 l -11 l8 l 11 l 14 p 111 l -9 p 116 p 121 p 124 p 130 p 131 p 132 l4 l 11 l -1 l 14 l 16 l -5 l9 l -2 p 140 l 14 p 141 l1 l -15 l3 l4 l6 l8 l -10 p 142 p 144 right −→ left left −→ right two matrices −→ two distinct matrices appears the −→ appears in the more space between the second and third equations + + v32 −→ +v32 3 − 1 = 1 −→ 3 − 2 = 1 multiplication ... −→ multiplication ofa vector by Aand we can −1 1 2 a11 a12 3 −1 2 combine them into = , 3 −1 2 2 0 4 a21 a22 −a21 + 3a22 = 3 −→ −a21 + 3a22 = 2 Matrix 1,4 entry: 3 −→ 2 ? −→ . are −→ is + i sin arg(z)+2kπ = . . . −→ = |z|1/n cos arg(z)+2kπ n n r > 0 −→ r ≥ 0 T ab a b = −→ = −b a −b a (f0 + f1 A −→ (f0 I + f1 A 12 + s2 + (−2)2 −→ 12 + 22 + (−2)2 y∗ T y∗ −→ y∗ y∗ T Let ... . −→ Suppose a is a vector and let R be the matrix I − 2Pa . Problems 3 and 4. −→ problems 5 and 6. M [n+ 1, i] −→ M [n, i + 1] 1 1 and . The −→ and v2 = . The 1 1 vT Au −→ vT Aw In the next section, −→ In section 3.4, see page 210.) −→ see page 209.) · · · − f1 A + −f0 . −→ · · · − f1 A − f0 I. · · · + −f0 Ak−n −→ −f0 Ak−n the 22 entry −→ the 2, 2 entry exactly −→ exactly a Fibonacci sequence with indices shifted by 1! sequence sequence 8 −→ 1 0 0 1 00 R = 0 c22 c23 −→ R = 0 Q 0 c2 c33 0 Q−1 CC −→ Q−1 CQ . . . page 142, −→ page 144, λt (x) −→ Λt (x) λi (x) −→ Λi (x) a(x − λ) . . . (x − λt ) −→ a(x − λ1 ) . . . (x − λt ) constant. −→ constant, where Λ(x) is DEFINED to be Λ1 (x) + · · · + Λt (x). every polynomial This . . . ” −→ every polynomial. This . . . ’ p 145 p 147 p 153 p 154 p 158 p 162 p 164 p 167 p 169 p 173 p 174 p 183 p 187 p 199 p 200 p 208 p 209 p 233 p 234 p 237 p 238 back cover page 110 −→ page 111 fi (A) −→ Λi (A) or oscillates (a = −1) −→ or oscillates (a 6= 1) eigenvector is w. −→ eigenvector w. it doesn’t get there −→ it doesn’t get the to late −→ too late f2 = a12 , f3 = a13 −→ The f2 = a21 , f3 = a31 converges to 0. Therefore, this −→ converges. This is used transmit −→ is used to transmit µA (x) −→ µC (x) “length” of A −→ “length” of C C2 (A) = Cλ1 + Cλ2 −→ C2 (C) = Cλ1 + Cλ2 in part b ... −→ It appears in part b of Example 3.19 on page 169 and has eigenvalues |M T v| −→ |M T v|2 ; λ|v| −→ λ|v|2 reducesthe −→ reduces the det(A) . . . −→ det(A) + det(B) = (−1)s+1 det(ms1 (A)) +(−1)t+1 det(mt1 (A)) as1 + (−1)s+1 det(ms1 (B)) + (−1)t+1 det(mt1 (B)) at1 l -16,-13,-3 (commas missing in four Vandermonde matrices) l -1 The 2,4 entry of the matrix −2 −→ 2 l2 page 190) the −→ page 190 the l4 · · · = x3 − 2x − 2. −→ · · · = x3 − 3x − 2 = (x + 1)2 (x − 2). l6 page 122 −→ page 124 8 −8 2.2 2e 15 −→ 15 −24 −24 1 0 0 1 0 0 −→ 6. a. V −1 = −3 2 −1 1 −1 2.3 6. a. V −1 = −3 2 2 2 2 1 1 −1 1 1 2 2 2 √ √ √ 2 −1 2 √ 2.6 3. (−(3 3 + 4)/2, −3/2 + 2 3) −→ (−(3 3 + 4)/2, −3/2 + 4 3) 1 0 0 −1 1 1 0 −1 1 0 2.7 2c. 0 1 0 −1 0 −→ 0 1 −1 0 1 001 0 0 4.1 2. b −→ 2. c 10 1 0 2 −1 10 11 4.3 6a . . . −→ 7a = . 05 −3 1 1 2 11 01 l -2 Mathematics l -4 l5 l9 l -10 l -8 l -1 l 24 l -5 l -8 l7 l9 l 11 l 21 l -12 l -8 l -1