The cross product in ℝ n . Consider the vectors v → 2 , v → 3 , ... , v → n in ℝ n . The transformation T ( x → ) = det [ | | | | x → v → 2 v → 3 ⋯ v → n | | | | ] is linear. Therefore, there exists a unique vector u → in ℝ n such that T ( x → ) = x → ⋅ u → for all x → in ℝ n . Compare this with Exercise 2.1 .43c. This vector u → is called the cross product of v → 2 , v → 3 , ... , v → n , written as u → = v → 2 × v → 3 × ⋯ × v → n . In other words, the cross product is defined by the fact that x → ⋅ ( v → 2 × v → 3 × ⋯ × v → n ) = det [ | | | | x → v → 2 v → 3 ⋯ v → n | | | | ] , for all x → in ℝ n . Note that the cross product in ℝ n is defined for n − 1 vectors only. (For example, you can not form the cross product of just two vectors in ℝ 4 .) Since the ith component of a vector w → is e → ⋅ i w → . we can find the cross product by components as follows: ith component of v → 2 × v → 3 × ⋯ × v → n = e → i ⋅ ( v → 2 × ⋯ × v → n ) = det [ | | | | e → i v → 2 v → 3 ⋯ v → n | | | | ] a. When is v → 2 × v → 3 × ⋯ × v → n = 0 → ? Give your answer in terms of linear independence. b. Find e → 2 × e → 3 × ⋯ × e → n . c. Show that v → 2 × v → 3 × ⋯ × v → n is orthogonal to all the vectors v → i , for i = 2 , ... , n . d. What is the relationship between v → 2 × v → 3 × ⋯ × v → n and v → 3 × v → 2 × ⋯ × v → n ?(We swap the first two factors.) e. Express det [ v → 2 × v → 3 × ⋯ × v → n v → 2 × v → 3 × ⋯ × v → n ] in terms of ‖ v → 2 × v → 3 × ⋯ × v → n ‖ . f. How do we know that the cross product of two vectors in ℝ 3 , as defined here. is the same as the standard cross product in ℝ 3 ? See Definition A.9 of the Appendix.
The cross product in ℝ n . Consider the vectors v → 2 , v → 3 , ... , v → n in ℝ n . The transformation T ( x → ) = det [ | | | | x → v → 2 v → 3 ⋯ v → n | | | | ] is linear. Therefore, there exists a unique vector u → in ℝ n such that T ( x → ) = x → ⋅ u → for all x → in ℝ n . Compare this with Exercise 2.1 .43c. This vector u → is called the cross product of v → 2 , v → 3 , ... , v → n , written as u → = v → 2 × v → 3 × ⋯ × v → n . In other words, the cross product is defined by the fact that x → ⋅ ( v → 2 × v → 3 × ⋯ × v → n ) = det [ | | | | x → v → 2 v → 3 ⋯ v → n | | | | ] , for all x → in ℝ n . Note that the cross product in ℝ n is defined for n − 1 vectors only. (For example, you can not form the cross product of just two vectors in ℝ 4 .) Since the ith component of a vector w → is e → ⋅ i w → . we can find the cross product by components as follows: ith component of v → 2 × v → 3 × ⋯ × v → n = e → i ⋅ ( v → 2 × ⋯ × v → n ) = det [ | | | | e → i v → 2 v → 3 ⋯ v → n | | | | ] a. When is v → 2 × v → 3 × ⋯ × v → n = 0 → ? Give your answer in terms of linear independence. b. Find e → 2 × e → 3 × ⋯ × e → n . c. Show that v → 2 × v → 3 × ⋯ × v → n is orthogonal to all the vectors v → i , for i = 2 , ... , n . d. What is the relationship between v → 2 × v → 3 × ⋯ × v → n and v → 3 × v → 2 × ⋯ × v → n ?(We swap the first two factors.) e. Express det [ v → 2 × v → 3 × ⋯ × v → n v → 2 × v → 3 × ⋯ × v → n ] in terms of ‖ v → 2 × v → 3 × ⋯ × v → n ‖ . f. How do we know that the cross product of two vectors in ℝ 3 , as defined here. is the same as the standard cross product in ℝ 3 ? See Definition A.9 of the Appendix.
Solution Summary: The author illustrates how linearly independent vectors are based on the given determinant.
The cross product in
ℝ
n
. Consider the vectors
v
→
2
,
v
→
3
,
...
,
v
→
n
in
ℝ
n
. The transformation
T
(
x
→
)
=
det
[
|
|
|
|
x
→
v
→
2
v
→
3
⋯
v
→
n
|
|
|
|
]
is linear. Therefore, there exists a unique vector
u
→
in
ℝ
n
such that
T
(
x
→
)
=
x
→
⋅
u
→
for all
x
→
in
ℝ
n
. Compare this with Exercise 2.1 .43c. This vector
u
→
is called the cross product of
v
→
2
,
v
→
3
,
...
,
v
→
n
, written as
u
→
=
v
→
2
×
v
→
3
×
⋯
×
v
→
n
. In other words, the cross product is defined by the fact that
x
→
⋅
(
v
→
2
×
v
→
3
×
⋯
×
v
→
n
)
=
det
[
|
|
|
|
x
→
v
→
2
v
→
3
⋯
v
→
n
|
|
|
|
]
,
for all
x
→
in
ℝ
n
. Note that the cross product in
ℝ
n
is defined for
n
−
1
vectors only. (For example, you can not form the cross product of just two vectors in
ℝ
4
.) Since the ith component of a vector
w
→
is
e
→
⋅
i
w
→
. we can find the cross product by components as follows: ith component of
v
→
2
×
v
→
3
×
⋯
×
v
→
n
=
e
→
i
⋅
(
v
→
2
×
⋯
×
v
→
n
)
=
det
[
|
|
|
|
e
→
i
v
→
2
v
→
3
⋯
v
→
n
|
|
|
|
]
a. When is
v
→
2
×
v
→
3
×
⋯
×
v
→
n
=
0
→
? Give your answer in terms of linear independence. b. Find
e
→
2
×
e
→
3
×
⋯
×
e
→
n
. c. Show that
v
→
2
×
v
→
3
×
⋯
×
v
→
n
is orthogonal to all the vectors
v
→
i
, for
i
=
2
,
...
,
n
. d. What is the relationship between
v
→
2
×
v
→
3
×
⋯
×
v
→
n
and
v
→
3
×
v
→
2
×
⋯
×
v
→
n
?(We swap the first two factors.) e. Express
det
[
v
→
2
×
v
→
3
×
⋯
×
v
→
n
v
→
2
×
v
→
3
×
⋯
×
v
→
n
]
in terms of
‖
v
→
2
×
v
→
3
×
⋯
×
v
→
n
‖
. f. How do we know that the cross product of two vectors in
ℝ
3
, as defined here. is the same as the standard cross product in
ℝ
3
? See Definition A.9 of the Appendix.
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.
A research study in the year 2009 found that there were 2760 coyotes
in a given region. The coyote population declined at a rate of 5.8%
each year.
How many fewer coyotes were there in 2024 than in 2015?
Explain in at least one sentence how you solved the problem. Show
your work. Round your answer to the nearest whole number.
Answer the following questions related to the following matrix
A =
3
³).
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.
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