Invertible matrices and the uniqueness of the inverse
A square matrix A is invertible if some B gives AB = BA = I; then B = A⁻¹. The inverse, when it exists, is unique.
What an inverse is
For numbers, 5 × (1/5) = 1, so 1/5 undoes multiplication by 5. For a square matrix A, an inverse is a matrix B of the same order with AB = BA = I. If such a B exists, A is called invertible and B is written A⁻¹. Only square matrices can be invertible, and there is no division of matrices: A⁻¹ is not '1/A'. Since the condition AB = BA = I reads the same with A and B swapped, B is invertible too, with B⁻¹ = A. (Matrices are written row by row here, with rows separated by semicolons.)
Proof: the inverse of a square matrix, if it exists, is unique
- 1Let A be a square matrix, and suppose B and C are both inverses of A.
- 2Then AB = BA = I and AC = CA = I.
- 3B = BI, because I is the identity matrix.
- 4= B(AC), because AC = I.
- 5★= (BA)C, because matrix multiplication is associative.
- 6= IC = C, because BA = I.
- 7So, B = C: an invertible matrix has exactly one inverse.
★ key step
Proof: (AB)⁻¹ = B⁻¹A⁻¹
- 1(AB)(B⁻¹A⁻¹) = A(BB⁻¹)A⁻¹ = AIA⁻¹ = AA⁻¹ = I
- 2(B⁻¹A⁻¹)(AB) = B⁻¹(A⁻¹A)B = B⁻¹IB = B⁻¹B = I
- 3★So B⁻¹A⁻¹ is an inverse of AB. By uniqueness it is the inverse: (AB)⁻¹ = B⁻¹A⁻¹.
★ key step
Example 1: check an inverse
Show that B = [2, −5; −1, 3] is the inverse of A = [3, 5; 1, 2].
- Rule: B = A⁻¹ if AB = I and BA = I.
- AB = [(3)(2) + (5)(−1), (3)(−5) + (5)(3); (1)(2) + (2)(−1), (1)(−5) + (2)(3)] = [1, 0; 0, 1]
- BA = [(2)(3) + (−5)(1), (2)(5) + (−5)(2); (−1)(3) + (3)(1), (−1)(5) + (3)(2)] = [1, 0; 0, 1]
- Both products equal I.
AB = BA = I, so B = A⁻¹.
Example 2: the inverse from a matrix equation (board style)
If A = [1, 2; −1, 3], show that A² − 4A + 5I = O. Hence find A⁻¹.
- Rule: multiply row by column; then rearrange the equation into the form A × (a matrix) = I.
- A² = [(1)(1) + (2)(−1), (1)(2) + (2)(3); (−1)(1) + (3)(−1), (−1)(2) + (3)(3)] = [−1, 8; −4, 7]
- 4A = [4, 8; −4, 12] and 5I = [5, 0; 0, 5]
- A² − 4A + 5I = [−1 − 4 + 5, 8 − 8 + 0; −4 + 4 + 0, 7 − 12 + 5] = O
- So 4A − A² = 5I, that is A(4I − A) = 5I. In the same way, (4I − A)A = 5I.
- Divide by 5: A × (1/5)(4I − A) = I and (1/5)(4I − A) × A = I.
- So A⁻¹ = (1/5)(4I − A) = (1/5)[4 − 1, 0 − 2; 0 + 1, 4 − 3] = (1/5)[3, −2; 1, 1].
- Check: A × [3, −2; 1, 1] = [3 + 2, −2 + 2; −3 + 3, 2 + 3] = [5, 0; 0, 5] = 5I.
A⁻¹ = (1/5)[3, −2; 1, 1]
Which matrices have no inverse?
- A matrix that is not square: the definition needs AB and BA to be the same identity matrix.
- The zero matrix O: OB = O ≠ I for every B.
- Any A with AB = O for some B ≠ O. If A⁻¹ existed, then B = A⁻¹(AB) = A⁻¹O = O, which is false.
- So [1, 2; 2, 4] has no inverse, because [1, 2; 2, 4][2, −6; −1, 3] = O.
- In the next chapter you will find inverses using determinants.
A secret message can be coded by multiplying blocks of numbers by a matrix A. The receiver decodes it by multiplying by A⁻¹. This works only because the inverse exists and is unique.
1 marks: “If A is invertible, what is (A⁻¹)⁻¹?” A, because A⁻¹A = AA⁻¹ = I shows that A is the inverse of A⁻¹.
2 marks: “Show that B = [3, −1; −5, 2] is the inverse of A = [2, 1; 5, 3].” AB = [6 − 5, −2 + 2; 15 − 15, −5 + 6] = I and BA = [6 − 5, 3 − 3; −10 + 10, −5 + 6] = I. So B = A⁻¹.
3 marks: “Prove that the inverse of a square matrix, if it exists, is unique.” Suppose B and C are both inverses of A. Then B = BI = B(AC) = (BA)C = IC = C, using AC = I, the associative law and BA = I. So B = C.
One lock, one key: an invertible matrix has exactly one inverse. The proof chain: B = BI = B(AC) = (BA)C = IC = C.