Repeat Exercise 41 for B = { ( − 1 , 2 , 2 ) , ( 1 , 0 , 0 ) } and x = ( − 3 , 4 , 4 ) . Let B = { ( 0 , 2 , − 2 ) , ( 1 , 0 , − 2 ) } be a basis for a subspace of R 3 , and consider x = ( − 1 , 4 , − 2 ) , a vector in the subspace. (a) Write x as a linear combination of the vectors in B .That is, find the coordinates of x relative to B . (b) Apply the Gram-Schmidt orthonormalization process to transform B into an orthonormal set B ′ . (c) Write x as a linear combination of the vectors in B ′ .That is, find the coordinates of x relative to B ′ .
Repeat Exercise 41 for B = { ( − 1 , 2 , 2 ) , ( 1 , 0 , 0 ) } and x = ( − 3 , 4 , 4 ) . Let B = { ( 0 , 2 , − 2 ) , ( 1 , 0 , − 2 ) } be a basis for a subspace of R 3 , and consider x = ( − 1 , 4 , − 2 ) , a vector in the subspace. (a) Write x as a linear combination of the vectors in B .That is, find the coordinates of x relative to B . (b) Apply the Gram-Schmidt orthonormalization process to transform B into an orthonormal set B ′ . (c) Write x as a linear combination of the vectors in B ′ .That is, find the coordinates of x relative to B ′ .
Solution Summary: The objective is to find the value of x as a linear combination of given vectors.
Repeat Exercise
41
for
B
=
{
(
−
1
,
2
,
2
)
,
(
1
,
0
,
0
)
}
and
x
=
(
−
3
,
4
,
4
)
.
Let
B
=
{
(
0
,
2
,
−
2
)
,
(
1
,
0
,
−
2
)
}
be a basis for a subspace of
R
3
, and consider
x
=
(
−
1
,
4
,
−
2
)
, a vector in the subspace.
(a) Write
x
as a linear combination of the vectors in
B
.That is, find the coordinates of
x
relative to
B
.
(b) Apply the Gram-Schmidt orthonormalization process to transform
B
into an orthonormal set
B
′
.
(c) Write
x
as a linear combination of the vectors in
B
′
.That is, find the coordinates of
x
relative to
B
′
.
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, algebra and related others by exploring similar questions and additional content below.
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License