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Adjugate Matrix


The adjugate matrix of a square matrix A is the transpose of its matrix of cofactors. If A_(ij) is obtained by deleting row i and column j from A, its cofactor is

 C_(ij)=(-1)^(i+j)det(A_(ij)),
(1)

and the adjugate matrix is

 adj(A)=(C_(ij))^T.
(2)

The adjugate matrix is also called the classical adjoint. It satisfies

 Aadj(A)=adj(A)A=det(A)I,
(3)

where I is the identity matrix. If A has a matrix inverse, then

 adj(A)=det(A)A^(-1).
(4)

The cofactor definition remains valid when A is a singular matrix. For a 2×2 matrix,

 adj[a b; c d]=[d -b; -c a].
(5)

The adjugate matrix is implemented in the Wolfram Language as Adjugate[A].


See also

Adjoint Matrix, Cofactor, Conjugate Transpose, Determinant, Identity Matrix, Matrix Inverse, Transpose

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References

Meyer, C. D. Matrix Analysis and Applied Linear Algebra. Philadelphia, PA: SIAM, 2000.Muir, T. A Treatise on the Theory of Determinants. New York: Dover, p. 54, 1960.

Referenced on Wolfram|Alpha

Adjugate Matrix

Cite this as:

Weisstein, Eric W. "Adjugate Matrix." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/AdjugateMatrix.html

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