Ok, so here is your matrix:
[tex]A = \left( \begin{array}{cccc} 0 & 2 & 0 & -5 \\ 0 & 1 & 4 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array} \right)[/tex]
You want to know what the nullspace is of the matrix [itex]A[/itex]. So this means you have an equation of the form.
[tex]A\vec x = \vec 0[/tex]
which will look like (sorry LaTeX wasn't playing nice for me here, I'll just write it out):
[0 2 0 -5][x1] = [0]
[0 1 4 0][x2] = [0]
[0 0 1 0][x3] = [0]
[0 0 0 1][x4] = [0]
So to solve this you could:
Use gaussian-jordon elimination and reduce it to:
[tex]\left( \begin{array}{cccc} 0 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \end{array} \right)[/tex]
as Hammie pointed out.
So this leaves you with:
[tex]x_1 = \alpha[/tex]
[tex]x_2 = 0[/tex]
[tex]x_3 = 0[/tex]
[tex]x_4 = 0[/tex]
Which is a matrix of the form:
[tex]\left( \alpha,0,0,0 \right) ^T[/tex]
which typically you want to factor out the variables to yield:
[tex]\vec x = \alpha \left( 1,0,0,0 \right) ^T[/tex]Now thinking of this in the algebraic sense, the solution to the system is:
(going back to the [itex]a, b, c, d[/itex] notation:
[tex]a = \alpha[/tex]
[tex]b = 0[/tex]
[tex]c = 0[/tex]
[tex]d = 0[/tex]
Which, just as Hammie said. b,c,d are for the trivial solution while a could be anything.
I think an easy general method for solving for the null space is to:
1) reduce it as much as possible:
ex) (1 0 0, 0 1 0, 0 0 0)^T type of matrix
2) any row that is all 0's then set it equal to some variable.
3) write down a column vector describing the solutions, and factor out the variables.