8.5. LINEAR INDEPENDENCE AND BASES 171

You need to solve the equation Ax = 0. To do this you write the augmented matrix andthen obtain the row reduced echelon form and the solution. The augmented matrix is 1 2 1 | 0

0 −1 1 | 02 3 3 | 0

Next place this matrix in row reduced echelon form, 1 0 3 | 0

0 1 −1 | 00 0 0 | 0

Note that x1 and x2 are basic variables while x3 is a free variable. Therefore, the solution tothis system of equations, Ax = 0 is given by 3t

tt

 : t ∈ R.

Example 8.5.25 Let

A =

1 2 1 0 12 −1 1 3 03 1 2 3 14 −2 2 6 0

Find the null space of A.

You need to solve the equation, Ax = 0. The augmented matrix is1 2 1 0 1 | 02 −1 1 3 0 | 03 1 2 3 1 | 04 −2 2 6 0 | 0

Its row reduced echelon form is

1 0 35

65

15 | 0

0 1 15 − 3

525 | 0

0 0 0 0 0 | 00 0 0 0 0 | 0

It follows x1 and x2 are basic variables and x3,x4,x5 are free variables. Therefore, ker(A)is given by 

(− 3

5

)s1 +

(−65

)s2 +

( 15

)s3(

− 15

)s1 +

( 35

)s2 +

(− 2

5

)s3

s1

s2

s3

 : s1,s2,s3 ∈ R.

8.5. LINEAR INDEPENDENCE AND BASES 171You need to solve the equation Ax = 0. To do this you write the augmented matrix andthen obtain the row reduced echelon form and the solution. The augmented matrix is1 2 1 | 00 -1 1 | O2 3 3 | 0Next place this matrix in row reduced echelon form,10 3 | 00 1 -1 | 000 0 | 0Note that x; and x2 are basic variables while x3 is a free variable. Therefore, the solution tothis system of equations, Ax = 0 is given by3tt it ER.tExample 8.5.25 Let12 10 1A= 2 -1 1 3 03 1 2 3 14 —2 2 6 0Find the null space of A.You need to solve the equation, Ax = 0. The augmented matrix is1 2 10 1 +4 02-1 13 0 | 03 1 23 1 | 04 2260 | 0Its row reduced echelon form is3. 6 1POs 3g teO15 -§ 5 | 0000 0 0 | 0000 0 0 | 0It follows x; and x are basic variables and x3,x4,x5 are free variables. Therefore, ker (A)is given by+(S)at (Yn*G) s2 + (—3) 83:81,52,53 ER.