Theory of Intelligence
11TH•Mathematics•Matrices And Determinants•4.5 Adjoint and Inverse

4.5 Adjoint and Inverse of a Square Matrix

Adjoint of a square matrix and the inverse via adj A / |A|.

4.5 Adjoint and Inverse of a Square Matrix

For A=[aij]3×3A = [a_{ij}]_{3 \times 3} with cofactors AijA_{ij}, the adjoint is the transpose of the cofactor matrix:

adj⁡A=[A11A21A31A12A22A32A13A23A33]\operatorname{adj} A = \begin{bmatrix} A_{11} & A_{21} & A_{31} \\ A_{12} & A_{22} & A_{32} \\ A_{13} & A_{23} & A_{33} \end{bmatrix}

If AA is nonsingular (∣A∣≠0|A| \neq 0) and AB=BA=IAB = BA = I, then B=A−1B = A^{-1}. Equivalently

A−1=1∣A∣adj⁡AA^{-1} = \dfrac{1}{|A|}\operatorname{adj} A

Example 7

Find A−1A^{-1} if A=[1020211−11]A = \begin{bmatrix} 1 & 0 & 2 \\ 0 & 2 & 1 \\ 1 & -1 & 1 \end{bmatrix}.

Solution

Cofactors:

A11=3, A12=1, A13=−2,A21=−2, A22=−1, A23=1,A31=−4, A32=−1, A33=2\begin{align*} A_{11} &= 3,\ A_{12} = 1,\ A_{13} = -2, \\ A_{21} &= -2,\ A_{22} = -1,\ A_{23} = 1, \\ A_{31} &= -4,\ A_{32} = -1,\ A_{33} = 2 \end{align*} adj⁡A=[3−2−41−1−1−212],∣A∣=1(3)+0+2(−2)=−1\operatorname{adj} A = \begin{bmatrix} 3 & -2 & -4 \\ 1 & -1 & -1 \\ -2 & 1 & 2 \end{bmatrix}, \quad |A| = 1(3) + 0 + 2(-2) = -1 A−1=1−1adj⁡A=[−324−1112−1−2]A^{-1} = \dfrac{1}{-1}\operatorname{adj} A = \begin{bmatrix} -3 & 2 & 4 \\ -1 & 1 & 1 \\ 2 & -1 & -2 \end{bmatrix}

Discuss theoretical concepts, mathematical formulas, and architectural foundations.

Supports inline code with `backticks`
No comments yet. Be the first to start the discussion!