# The null space of a matrix is a subspace of R^n (or C^n).

Put content here**Theorem:** The *null space* of an \(m 	imes n\) matrix \(A\) is a subspace of \(\mathbb{F}^n\):
\[	ext{null}(A) = \{\mathbf{x} \in \mathbb{F}^n : A\mathbf{x} = \mathbf{0}\}\]
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**Proof:**
- \(\mathbf{0} \in 	ext{null}(A)\) since \(A\mathbf{0} = \mathbf{0}\).
- If \(\mathbf{x}, \mathbf{y} \in 	ext{null}(A)\), then \(A(\mathbf{x}+\mathbf{y}) = A\mathbf{x} + A\mathbf{y} = \mathbf{0} + \mathbf{0} = \mathbf{0}\).
- If \(\mathbf{x} \in 	ext{null}(A)\) and \(c \in \mathbb{F}\), then \(A(c\mathbf{x}) = cA\mathbf{x} = c\mathbf{0} = \mathbf{0}\).
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The dimension of the null space is the *nullity* of \(A\). By the rank-nullity theorem: \(	ext{rank}(A) + 	ext{nullity}(A) = n\).

# Parents

* Examples of vector spaces