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A series of mathematical problems related to matrix algebra and inner products. The tasks involve proving properties of inner products, calculating inner products of vectors, and finding orthogonal projections. The document also includes a bonus question about the relationship between the dot product and the inner product in the space of polynomials.
Typology: Exercises
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a) Let A be an invertible n × n matrix. For vectors u and v
in
n
R , define
A
u v = Au Av
i
Prove that this gives an inner product on
n
b) Let
cos sin
sin cos
θ θ
θ θ
. Prove that ,
A
u v = u v
i
c) (Bonus) Give a geometric explanation of why the inner product in b)
works this way.
a) On
3
R using the dot product,
1 5
2 7
3 9
i and
1 2
0 4
1 2
−
i.
2
2 1 0
2
2 1 0
q x = q x + q x + q , define
0 0 1 1 2 2
p q , := p q + p q + p q
Calculate
2 2 2
x x , and 3x + 2 x − 5,5 x + 2 x + 1.
c) On
C 0, 2 let
0
2
f , g : = f ( ) x g x dx ( )
. Calculate
2
x x
e e and
2 2
3 x + 2 x − 5,5 x + 2 x + 1.
d) (Bonus) Consider the standard basis
2
1, x x , on the space of polynomials
in b). With respect to this basis, the inner product defined in b) is strongly
related to the dot product in
3
R. How?
u + v ≤ u + v
(Hint: for any real numbers a and b, a + b ≤ a + b .)
a) Let
1
1
1
u :
and let
0
1
1
v : −
−
. Using the dot product on
3
R , find the
orthogonal projection of u
onto v
b) Use a) to find the part of u
which is perpendicular to v
. (i.e. 1 2
u = u + u
where 1
u = kv
for some real number k, and 2
u v = 0
i )
a) Let A be an n × m matrix. Prove that, with respect to the dot product on
n
R , the null space of A is the orthogonal complement of the row space of
A. (Hint:
T
u v = u v
i. i.e.
[ ]
1 1 1
2 2 1 2 3 2
3 3 3
1 1 2 2 3 3
u v v
u v u u u v
u v v
u v u v u v
i
b) Let W be the subspace of
5
R spanned by the vectors
Use the result in part a) to find a basis for the orthogonal complement of
: 1 , : 1 , and : 0
u v w
into an orthonormal basis for
3