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Solutions to hour exam i of math 425, focusing on orthogonal projections and eigenvectors. Topics covered include finding the closest vector in a subspace, proving properties of the closest vector, and calculating eigenvectors and eigenvalues.
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MATH 425 Hour Exam I Solution Radford 02/22/
(a) observe that a+bx+cx^2 ∈ S⊥^ if and only if 0 = <a + bx + cx^2 , x> =
∫ (^2)
0
(a + bx + cx^2 )x dx
∫ (^2)
0
(ax + bx^2 + cx^3 ) dx = (a
x^2 2
x^3 3
x^4 4
∣∣ ∣∣ ∣
2
0
= 2a +
b + 4c; 0 = a +
b + 2c. ( 10 )
(b) Solutions to this equation, which is equivalent to the system
a = −
b − 2 c b = b c = c
, is
given by
a b c
= b
+ c
. A basis for S⊥ (^) is {−^4 3
(a) Let s ∈ S. Then
||v − s||^2 = ||(v − s 0 ) + (s 0 − s)||^2 = ||v − s 0 ||^2 + ||s 0 − s||^2 ≥ ||v − s 0 ||^2 , (1)
where the second equation follows since s 0 − s ∈ S. By (1) we deduce ||v − s||^2 ≥ ||v − s 0 ||^2 , hence ||v − s|| ≥ ||v − s 0 ||. ( 10 )
(b) ||v − s|| ≥ ||v − s 1 || for all s ∈ S; in particular for s = s 0. Thus by (1), with s = s 1 , we deduce ||v − s 0 ||^2 ≥ ||v − s 1 ||^2 = ||v − s 0 ||^2 + ||s 0 − s 1 ||^2 ≥ ||v − s 0 ||^2 , from which ||v − s 0 ||^2 = ||v − s 0 ||^2 + ||s 0 − s 1 ||^2 , or equivalently ||s 0 − s 1 ||^2 = 0, follows. Therefore ||s 0 − s 1 || = 0 and consequently s 0 = s 1. ( 10 )
(a) By inspection <v, q 1 > = −
and <v, q 2 > =
. Thus the closest vector is
<v, q 1 >q 1 + <v, q 2 >q 2 =
=
.
(b) A = q 1 qt 1 + q 2 qt 2 =
(3 − 12 4 0) +
(−4 0 3 12)
+
∣∣ ∣∣ ∣∣ ∣
3 − x 8 4 0 5 − x 1 0 0 3 − x
∣∣ ∣∣ ∣∣ ∣
(3 − x)(5 − x)(3 − x). Thus the eigenvalues for A are λ = 3, 5.
λ = 3: A−λI 3 =
−→ · · · −→
−→ · · · −→
; eigen-
vectors in vector form are
x y z
= x
+ z
. Thus {
,
} is
a basis for the space of eigenvectors for A belonging to λ = 3.
λ = 5: A − λI 3 =
−→ · · · −→
−→ · · · −→
;
eigenvectors in vector form are
x y z
=^ y
. Thus^ {
}^ is a basis for the space
of eigenvectors for A belonging to λ = 5.
Take S =
(^10 ) and^ D^ =
(^10 ).
(a) This is the nullspace of A−I 3. By row redutcion A−I 3 =
−→