How to find the null space of a matrix
To find a null space, we want every vector that a matrix sends to zero. Row reduction makes those inputs easier to see. Once we identify the free variables, we can write the whole solution set in vector form.
Find the inputs that give the zero vector
The null space of , written , is the set of vectors satisfying . If has columns, these input vectors have components.
The equation gives and . The second equation is twice the first. Let , and then .
Every real value of t gives an input in the null space. The resulting vectors form a line through the origin.
Check the three subspace properties
The zero vector belongs to the null space because . If and , distributing gives . Also, for any real scalar .
So the null space contains zero and is closed under addition and scalar multiplication. These are the three properties of a subspace.
Set up the homogeneous system
Use and attach a column of zeros. Swap the first and third rows, then use the first row to clear the entries below it.
Find the free variable
Divide the second row by 6, clear the entry below it, and then clear the second entry in the first row.
The first two columns have pivots. The third variable is free, so let . Then and .
Write the full null space as a span
The null space is the span of . One nonzero vector forms a basis, so the null space has dimension . Multiplying by gives zero in every row.