Linear Algebra
Explainer
The Null Space: Everything A Sends to Zero
Which inputs does a matrix completely destroy?
Quick check · tap an answer to continue
Lesson notes
Key points
- The null space of A is the set of all vectors x satisfying the homogeneous equation Ax equals zero.
- Row reduce A, mark the free variables, and each free variable gives one basis vector of the null space.
- The rank-nullity theorem links the dimensions: rank plus nullity equals the number of columns n.
- If Ax equals b has one solution p, every solution is p plus any null space vector.
Definitions
- Null space N(A)
- All vectors x with Ax = 0; always contains the zero vector and is a subspace.
Takeaway: Null space = all solutions of Ax = 0; its size is n minus rank.
Quick check: A 3×5 matrix has rank 3. What is its nullity?
- 0
- 3
- 2
Null spaceFree variablesRank-nullityGeneral solution
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