finding column and null spaces

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7 Terms

1
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basis for the kernel of A is

the vectors that linearly combine to make the zero vector

<p>the vectors that linearly combine to make the zero vector</p>
2
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dim(ker)A

number of free columns

3
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dim col A

number of leading columns

4
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rank nullity theorem

nullity + rank = # of columns of A

5
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a basis of im A is

the leading columns of A, or those that correspond to leading variables in rref(A)

6
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finding a basis for the span of some vectors

put them as columns of a matrix - the leading columns in ref(A) are a basis

7
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