(For some background on the cross product in ℝ n , seeExercise 6.2.44.) Consider three linearly independentvectors v → 1 , v → 2 , v → 3 in ℝ 4 . a. What is the relationship between V ( v → 1 , v → 2 , v → 3 ) and V ( v → 1 , v → 2 , v → 3 × v → 2 × v → 3 ) ? See Definition 6.3.5.Exercise 6.2.44c is helpful. b. Express V ( v → 1 , v → 2 , v → 3 × v → 2 × v → 3 ) in terms ofbut ‖ v → 1 × v → 2 × v → 3 ‖ . c. Use parts (a) and (b) to express V ( v → 1 , v → 2 , v → 3 ) interms of ‖ v → 1 × v → 2 × v → 3 ‖ . Is your result still true whenthe v → i are linearly dependent? (Note the analogy to the fact that for two vectors v → 1 and v → 2 in ℝ 3 , ‖ v → 1 × v → 2 ‖ is the area of the parallelogram defined by v → 1 and v → 2 .)
(For some background on the cross product in ℝ n , seeExercise 6.2.44.) Consider three linearly independentvectors v → 1 , v → 2 , v → 3 in ℝ 4 . a. What is the relationship between V ( v → 1 , v → 2 , v → 3 ) and V ( v → 1 , v → 2 , v → 3 × v → 2 × v → 3 ) ? See Definition 6.3.5.Exercise 6.2.44c is helpful. b. Express V ( v → 1 , v → 2 , v → 3 × v → 2 × v → 3 ) in terms ofbut ‖ v → 1 × v → 2 × v → 3 ‖ . c. Use parts (a) and (b) to express V ( v → 1 , v → 2 , v → 3 ) interms of ‖ v → 1 × v → 2 × v → 3 ‖ . Is your result still true whenthe v → i are linearly dependent? (Note the analogy to the fact that for two vectors v → 1 and v → 2 in ℝ 3 , ‖ v → 1 × v → 2 ‖ is the area of the parallelogram defined by v → 1 and v → 2 .)
Solution Summary: The author explains that the relation between the given vectors is linearly independent.
(For some background on the cross product in
ℝ
n
, seeExercise 6.2.44.) Consider three linearly independentvectors
v
→
1
,
v
→
2
,
v
→
3
in
ℝ
4
. a. What is the relationship between
V
(
v
→
1
,
v
→
2
,
v
→
3
)
and
V
(
v
→
1
,
v
→
2
,
v
→
3
×
v
→
2
×
v
→
3
)
? See Definition 6.3.5.Exercise 6.2.44c is helpful. b. Express
V
(
v
→
1
,
v
→
2
,
v
→
3
×
v
→
2
×
v
→
3
)
in terms ofbut
‖
v
→
1
×
v
→
2
×
v
→
3
‖
. c. Use parts (a) and (b) to express
V
(
v
→
1
,
v
→
2
,
v
→
3
)
interms of
‖
v
→
1
×
v
→
2
×
v
→
3
‖
. Is your result still true whenthe
v
→
i
are linearly dependent? (Note the analogy to the fact that for two vectors
v
→
1
and
v
→
2
in
ℝ
3
,
‖
v
→
1
×
v
→
2
‖
is the area of the parallelogram defined by
v
→
1
and
v
→
2
.)
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.
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