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This is the Solved Exam of Linear Algebra which includes Useful Information, Setting Up, Solving, Appropriate System, Linear Equations, Parabola, Data Points, Lab Experiment, Parabola, Points etc. Key important points are: Vectors, Angle, System, Factorization, Matrix Pascal, Matrix, Reflects Vectors, Line Making Angle, Same Line, Commutes
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Answer Key for Exam #
and
each have have length 6:
Their dot product is 3 + 0 + 4 + 4 + 4 + 3 = 18, so the angle θ between them satisfies cos θ =
Therefore θ = π 3 , or 60◦.
The third equation gives x 3 = 3. Then the second equation becomes x 2 + 15 = 13, so x 2 = −2. Finally the first equation becomes x 1 − 4 + 9 = 10, so x 1 = 5.
2 3 3 4
is 1 2 · 4 − 3 · 3
and the inverse of
3 4 4 5
is 1 3 · 5 − 4 · 4
so you might guess that A−^1 =
, and once guessed this is easy to check. Alternatively
we can use row operations to reduce [A I] to
. I’ll try to avoid fractions: subtract the first row from the fourth, and the second row from the third to get
Next, subtract twice the fourth row from the first, and three times the third row from the second:
Now subtract the second row from the third and the first row from the fourth:
If we now switch the first and fourth rows, and also the second and third rows, we get A−^1 as before.
4(a) Step 1: subtract the first row of A from all the others. Step 2: subtract twice the second row from the third, and three times the second row from the fourth. Step 3: subtract three times the third row from the fourth. This gives
Step 1 puts 1’s in the second through fourth rows of column 1 of L; step 2 puts 2 and 3 respectively in the third and fourth rows of column 2; and step 3 puts a 3 in the fourth row and third column of L, so
,^ U^ =^ LT^ , and^ A^ =^ LU^ =^ LLT^.
4(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 y 4
and we get y 1 = 1; 1 + y 2 = 8, so y 2 = 7; 1 + 14 + y 3 = 27, so y 3 = 12; and 1 + 21 + 36 + y 4 = 64 so y 4 = 6. Finally we solve U~x = ~y, which in this case is
x 1 x 2 x 3 x 4
Here we have x 4 = 6; x 3 + 18 = 12 so x 3 = −6; x 2 − 12 + 18 = 7 so x 2 = 1; x 1 + 1 − 6 + 6 = 1 so x 1 = 0.
4(c) Here we have to reduce [L I] to
by row operations, which is not too hard:
So L−^1 =
, and U −^1 =
so U −^1 =
which implies that a^2 + b^2 = a^2 + c^2 , ac + bd = ab + cd and c^2 + d^2 = b^2 + d^2. The first and third of these equations tell us that b^2 = c^2 , so b = ±c. We can rewrite the second equation as
0 = ac + bd − ab − cd = a(c − b) + d(b − c) = (a − d)(c − b),
so either b = c or a = d. There are then two possibilities to satisfy all the equations: either b = c; or a = d and b = −c. If b = c then A is symmetric, in which case it is obvious that AAT^ = AT^ A since both sides equal A^2. If a = d and b = −c then A looks like
( a −c c a
This would be a rotation matrix if a^2 + c^2 = 1, but a^2 + c^2 won’t be 1 in general. However, it will equal some nonnegative number, which we might as well call r^2 for some nonnegative r. Then we have
( (^) a r
( (^) c r
so ( ar , cr ) is a point on the unit circle, and therefore there is an angle θ such that ar = cos θ and cr = sin θ. Then (^) ( a −c c a
= r
cos θ − sin θ sin θ cos θ
where r =
a^2 + c^2 , cos θ = a r
, and sin θ = c r
Therefore A is a multiple of a rotation matrix.
Scores: The median and mean were both 88.
Score Frequency Score Frequency Score Frequency 98 1 91 2 85 2 95 2 89 1 83 2 94 1 88 3 78 1 93 2 87 1 76 1 92 2 86 1 75 1