


Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
This is the Solved Exam of Linear Algebra which includes Empty, Unique Solution, Contains, Equation, Solution, Calculations, Possible, Solution, Set, Three Vectors etc. Key important points are: Any Method, Angle, System, Vectors, Symmetric Matrix, Diagonal Matrix, Satisfies, Equation, Functions, Rotation Matrix
Typology: Exams
1 / 4
This page cannot be seen from the preview
Don't miss anything!



Answer Key for Exam #
and
have lengths 6 and 4, respectively:
36 = 6 and
Their dot product is 1·2+3(−2)+(−5)2+1·2 = −12, so the angle θ between them satisfies cos θ =
Therefore θ = 120◦, or θ = 23 π.
The third equation gives x 3 = 5. Then the second equation becomes 11x 2 + 85 = 63, so x 2 = −2. Finally the first equation becomes x 1 − 10 + 30 = 22, so x 1 = 2.
3(a) Step 1: subtract three times the first row of A from the second row, and subtract the first row from the third. Step 2: subtract twice the second row from the third.
Step 1 puts 3 in the second row, first column of L; and 1 in the third row, first column. Then step 2 puts a
2 in the second row, third column of L, so L =
3(b) We may now solve A~x =
(^) in two steps. First we solve L~y = ~b, which in this case is
y 1 y 2 y 3
and we get y 1 = 5; 15 + y 2 = 8, so y 2 = −7; and 5 − 14 + y 3 = −12, so y 3 = −3. Finally we solve U~x = ~y, which in this case is (^)
x 1 x 2 x 3
Here we have x 3 = −3; x 2 − 9 = −7, so x 2 = 2; x 1 + 4 − 3 = 5, so x 1 = 4.
3(c) Here we have to reduce [L I] to
by row operations, which is not too hard:
So L−^1 =
. From this it is a reasonable guess that U −^1 =
, since U is a
sort of “double transpose” of L and this is what we get by transposing L−^1 across both diagonals. One can easily check that (^)
so this must indeed be U −^1. Alternatively we can reduce [U I] to
by row operations:
3(d) Since A = LU and L and U are both invertible, we have A−^1 = U −^1 L−^1. Therefore
4(a) Step 1: subtract twice the first row of A from the second row, three times the first row from the third row, and 4 times the first row from the fourth row. Step 2: subtract twice the second row from the fourth.
Step 1 puts 2, 3 , 4 respectively in the second through fourth rows of column 1 of L, and step 2 puts a 2 in
the second row, fourth column of L, so L =
and^ A^ =^ LU^.
4(b) Since A is symmetric, we should be able to rewrite U = DLT^ where D is a diagonal matrix containing the pivots of A. Factoring 1, − 2 , − 6 , −4 respectively from the rows of U we have
and the remaining matrix is
4(c) To find D−^1 we simply invert each number on the diagonal of D:
To find L−^1 we have to reduce [L I] to
by row operations, which is not too hard:
So problems 5 and 6 taken together have derived the 2 × 2 inverse formula.
cos θ − sin θ sin θ cos θ
rotates counterclockwise by θ, then T 2 rotates counterclockwise by 2θ. The trace of T is cos θ +cos θ = 2 cos θ and the determinant of T is 1, so u = 2 cos θ and v = −1 and we have T 2 = (2 cos θ) T − I, or in other words
( cos 2θ − sin 2θ sin 2θ cos 2θ
= (2 cos θ)
cos θ − sin θ sin θ cos θ
The trigonometric identities that this implies are cos 2θ = 2 cos^2 θ − 1 and sin 2θ = 2 sin θ cos θ.
Scores: The median was 93, and the mean was 91.625.
Score Frequency Score Frequency Score Frequency 100 1 95 2 88 1 99 1 94 1 87 2 98 2 93 3 86 1 97 2 92 1 84 1 96 2 90 2 67 1