The Adjoint Matrix and Its Central Property
You have a square matrix A and want to find A−1. There is a clean route through the adjoint (or adjugate) of A — a matrix built from the cofactors of A that has a beautiful relationship with A itself.
The intuition
For a 2×2 matrix you already know the inverse:
A=(acbd),A−1=ad−bc1(d−c−ba).
That second matrix, (d−c−ba), is exactly adj(A). The adjoint is the object you multiply by 1/det(A) to recover the inverse.
In Indian exam usage, "adjoint" always means the adjugate — the transpose of the cofactor matrix — not the Hermitian conjugate.
Building the adjoint
For each entry aij of an n×n matrix, the cofactor is
Cij=(−1)i+jMij,
where Mij is the minor (the determinant left after deleting row i and column j). Collect the cofactors into the cofactor matrix, then transpose:
adj(A)=[Cij]T,
so the (i,j) entry of adj(A) is Cji.
The central property
A⋅adj(A)=adj(A)⋅A=det(A)In.
Why? The (i,i) entry of Aadj(A) is ai1Ci1+⋯+ainCin — precisely the expansion of det(A) along row i. An off-diagonal (i,j) entry is the expansion of a determinant with two equal rows, which is 0.
Consequences
- If det(A)=0: A−1=det(A)1adj(A).
- If det(A)=0: A⋅adj(A)=O, so the adjoint annihilates A.
- Order fact: det(adj(A))=det(A)n−1. …