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The adjugate of a matrix $A$ is defined as $$ (\mathrm{adj}(A))_{ij} = (-1)^{i+j}M_{ji}(A) $$ where $M_{ji}(A)$ is the determinant of the matrix $A$ after row $j$ and column $i$ have been removed. It is well-known that $$ A\,\mathrm{adj}(A) = \mathrm{adj}(A)A = \det(A) I $$ Therefore, if $A$ is invertible, we get the famous formula $A^{-1} = \det(A)^{-1}\mathrm{adj}(A)$. There is also a well-known expansion of $A$ using the Cayley-Hamilton theorem, that looks like this: $$ p_0 I + p_1 A + p_2 A^2 + \dots + p_n A^n = 0 $$ where the $p_i$ are the coefficients of the characteristic polynomial of $A$. I have seen it written in many places (wikipedia, planetmath, textbooks) that the following also holds: $$ \mathrm{adj}(A) = -(p_1 I + p_2 A + \dots + p_n A^{n-1}) $$ where the $p_i$ are the same as in the previous equation. It is easy to prove this formula in the case where $A$ is invertible by applying the identities given above together with the fact that $p_0 = \det(A)$. However, I think the adjugate expansion still holds when $A$ is not invertible... how do I prove it for such a case?

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For sake of having an answer: the OP had asked this question on MO before and got a number of good answers there. See Expressing adj(A) as a polynomial in A?

user1551
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