Consider a linear transformation L from R m to R n . Show that there exists an orthonormal basis v → 1 , v → 2 , ... , v → m of R m such that the vectors L ( v → 1 ) , L ( v → 2 ) , ... , L ( v → m ) are orthogonal. Note that some of the vectors L ( v → i ) may be zero. Hint : Consider an orthonormal eigenbasis v → 1 , v → 2 , ... , v → m for the symmetric matrix A T A .
Consider a linear transformation L from R m to R n . Show that there exists an orthonormal basis v → 1 , v → 2 , ... , v → m of R m such that the vectors L ( v → 1 ) , L ( v → 2 ) , ... , L ( v → m ) are orthogonal. Note that some of the vectors L ( v → i ) may be zero. Hint : Consider an orthonormal eigenbasis v → 1 , v → 2 , ... , v → m for the symmetric matrix A T A .
Solution Summary: The author explains that the vectors L(stackrelto v_1)=AtA are orthogonal.
Consider a linear transformation L from
R
m
to
R
n
. Show that there exists an orthonormal basis
v
→
1
,
v
→
2
,
...
,
v
→
m
of
R
m
such that the vectors
L
(
v
→
1
)
,
L
(
v
→
2
)
,
...
,
L
(
v
→
m
)
are orthogonal. Note that some of the vectors
L
(
v
→
i
)
may be zero. Hint: Consider an orthonormal eigenbasis
v
→
1
,
v
→
2
,
...
,
v
→
m
for the symmetric matrix
A
T
A
.
Definition Definition Matrix whose transpose is equal to itself. For a symmetric matrix A, A=AT.
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