Finding the Kernel, Nullity, Range and Rank In Exercises 19-32, define the linear transformation T by T ( x ) = A x . Find (a) ker ( T ) , (b) nullity ( T ) , (c) r a n g e ( T ) and (d) r a n k ( T ) . A = [ 1 0 1 0 1 0 1 0 1 ]
Finding the Kernel, Nullity, Range and Rank In Exercises 19-32, define the linear transformation T by T ( x ) = A x . Find (a) ker ( T ) , (b) nullity ( T ) , (c) r a n g e ( T ) and (d) r a n k ( T ) . A = [ 1 0 1 0 1 0 1 0 1 ]
Solution Summary: The author explains how to find the value of ker(T) for the matrix.
Finding the Kernel, Nullity, Range and Rank In Exercises 19-32, define the linear transformation T by
T
(
x
)
=
A
x
. Find (a)
ker
(
T
)
, (b)
nullity
(
T
)
, (c)
r
a
n
g
e
(
T
)
and (d)
r
a
n
k
(
T
)
.
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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 6 Solutions
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