Testing for Linear Independence In Exercises 49-52, determine whether the set of vectors in M 2 , 2 is linearly independent or linearly dependent. A = [ 1 − 1 4 5 ] , B = [ 4 3 − 2 3 ] , C = [ 1 − 8 22 23 ]
Testing for Linear Independence In Exercises 49-52, determine whether the set of vectors in M 2 , 2 is linearly independent or linearly dependent. A = [ 1 − 1 4 5 ] , B = [ 4 3 − 2 3 ] , C = [ 1 − 8 22 23 ]
Testing for Linear Independence In Exercises 49-52, determine whether the set of vectors in
M
2
,
2
is linearly independent or linearly dependent.
A
=
[
1
−
1
4
5
]
,
B
=
[
4
3
−
2
3
]
,
C
=
[
1
−
8
22
23
]
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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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.
Chapter 4 Solutions
Bundle: Elementary Linear Algebra, Loose-leaf Version, 8th + WebAssign Printed Access Card for Larson's Elementary Linear Algebra, 8th Edition, Single-Term
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