In Exercises 1 through 18, determine whether the vector x → is in the span V of the vectors v → 1 , ... , v → m (proceed “by inspection” if possible, and use the reduced row-echelon form if necessary). If x → is in V, find the coordinates of x → with respect to the basis = ( v → 1 , ... , v → m ) of V, and write the coordinate vector 5. x → = [ 7 16 ] ; v → 1 = [ 2 5 ] , v → 2 = [ 5 12 ]
In Exercises 1 through 18, determine whether the vector x → is in the span V of the vectors v → 1 , ... , v → m (proceed “by inspection” if possible, and use the reduced row-echelon form if necessary). If x → is in V, find the coordinates of x → with respect to the basis = ( v → 1 , ... , v → m ) of V, and write the coordinate vector 5. x → = [ 7 16 ] ; v → 1 = [ 2 5 ] , v → 2 = [ 5 12 ]
Solution Summary: The author explains that the given vectors are in linear span if it can be written as a linear combination of v_1 and
In Exercises 1 through 18, determine whether the vector
x
→
is in the span V of the vectors
v
→
1
,
...
,
v
→
m
(proceed “by inspection” if possible, and use the reduced row-echelon form if necessary). If
x
→
is in V, find the coordinates of
x
→
with respect to the basis
=
(
v
→
1
,
...
,
v
→
m
)
of V, and write the coordinate vector
5.
x
→
=
[
7
16
]
;
v
→
1
=
[
2
5
]
,
v
→
2
=
[
5
12
]
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.
I want to learn this topic l dont know anything about it
Solve the linear system of equations attached using Gaussian elimination (not Gauss-Jordan) and back subsitution.
Remember that:
A matrix is in row echelon form if
Any row that consists only of zeros is at the bottom of the matrix.
The first non-zero entry in each other row is 1. This entry is called aleading 1.
The leading 1 of each row, after the first row, lies to the right of the leading 1 of the previous row.
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