Step 1: Identify the row vectors of the matrix.
The matrix A has rows R₁ = [1, -1, 0, -2], R₂ = [-4, 4, 0, 8], and R₃ = [-2, 1, 2, 4].
Step 2: Examine linear dependence among the rows.
Notice that R₂ = -4·R₁, meaning the second row is simply a scalar multiple of the first. Therefore, R₁ and R₂ are linearly dependent.
Step 3: Test independence of the third row.
If R₃ were a multiple of R₁, there would exist some constant k such that [-2, 1, 2, 4] = k[1, -1, 0, -2]. The first entry forces k = -2, but the second entry would then require 1 = (-2)(-1) = 2, a contradiction. Hence R₃ is linearly independent of R₁.
Step 4: Conclude the rank.
With R₂ dependent on R₁ and R₃ independent of both, the matrix possesses exactly two linearly independent rows. The rank is therefore 2.
Step 5: Final conclusion.
The rank of the matrix is 2.