Step 1: Identify Null Space Vectors
Given vectors $u = [2, 1, 0, 3]^T$ and $v = [1, 0, 1, 2]^T$ belong to the null space.
Step 2: Apply Subspace Property:
Any linear combination $w = c_1u + c_2v$ must also belong to the null space.
Step 3: Test Linear Combinations
Subtract $v$ from $u$:
$u - v = [2-1, 1-0, 0-1, 3-2]^T = [1, 1, -1, 1]^T$ \\
This matches Option A.
Important Rule: The null space of a matrix is a vector subspace; it is closed under addition and scalar multiplication.