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Adjoint & Cofactor Matrix Calculator

Compute the cofactor matrix and adjoint (adjugate) of any square matrix — with every minor determinant expanded step by step.

Matrix Setup
Theory & Key Formulas
Minor $M_{ij}$ — The determinant of the $(n{-}1)\times(n{-}1)$ submatrix obtained by deleting row $i$ and column $j$ from $A$.
Cofactor $C_{ij}$ — The signed minor: $$C_{ij} = (-1)^{i+j} M_{ij}$$ The sign pattern follows the checkerboard: $+$ when $i+j$ is even, $-$ when $i+j$ is odd.
Adjoint (Adjugate) — Transpose of the cofactor matrix: $$\text{adj}(A) = C^T, \quad [\text{adj}(A)]_{ij} = C_{ji}$$
Key identity: $A \cdot \text{adj}(A) = \det(A) \cdot I$
Hence: $A^{-1} = \dfrac{\text{adj}(A)}{\det(A)}$  (when $\det(A) \neq 0$)

Cofactor matrix and adjoint: how they work

The cofactor of entry a(i,j) is C(i,j) = (−1)^(i+j) · M(i,j), where M(i,j) is the minor. The cofactor matrix collects all C(i,j), and the adjoint (adjugate) is its transpose. These satisfy A · adj(A) = det(A) · I, so for an invertible matrix the inverse is A⁻¹ = adj(A) / det(A).

Common questions

Is the adjoint the same as the cofactor matrix?

No. The adjoint is the transpose of the cofactor matrix.

How is the adjoint used to find an inverse?

Divide the adjoint by the determinant: A⁻¹ = adj(A) / det(A), valid when det(A) ≠ 0.

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