Cofactor (mathematics): Difference between revisions

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imported>Richard Pinch
(New entry, just a stub)
 
imported>Richard Pinch
(corrected definition of minor, supplied reference Norman)
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In [[mathematics]], a '''cofactor''' is a component of a [[matrix (mathematics)|matrix]] computation of the matrix [[determinant]].
In [[mathematics]], a '''cofactor''' is a component of a [[matrix (mathematics)|matrix]] computation of the matrix [[determinant]].


Let ''M'' be a [[square matrix]] of size ''n''.  The (''i'',''j'') '''minor''' is the (''n''-1)×(''n''-1) submatrix ''M''<sub>''i'',''j''</sub> formed by deleting the ''i''-th row and ''j''-th column from ''M''.  The corresponding cofactor is the signed determinant  
Let ''M'' be a [[square matrix]] of size ''n''.  The (''i'',''j'') '''minor''' refers to the determinant of the (''n''-1)×(''n''-1) submatrix ''M''<sub>''i'',''j''</sub> formed by deleting the ''i''-th row and ''j''-th column from ''M'' (or sometimes just to the submatrix ''M''<sub>''i'',''j''</sub> itself).  The corresponding ''cofactor'' is the signed determinant  


:<math>(-1)^{i+j} \det M_{i,j} . \,</math>
:<math>(-1)^{i+j} \det M_{i,j} . \,</math>
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:<math>M^{-1} = (\det M)^{-1} \mathop{\mbox{adj}} M . \,</math>
:<math>M^{-1} = (\det M)^{-1} \mathop{\mbox{adj}} M . \,</math>
==References==
* {{cite book | author=C.W. Norman | title=Undergraduate Algebra: A first course | publisher=[[Oxford University Press]] | year=1986 | isbn=0-19-853248-2 | pages=306,310,315 }}

Revision as of 17:15, 10 December 2008

In mathematics, a cofactor is a component of a matrix computation of the matrix determinant.

Let M be a square matrix of size n. The (i,j) minor refers to the determinant of the (n-1)×(n-1) submatrix Mi,j formed by deleting the i-th row and j-th column from M (or sometimes just to the submatrix Mi,j itself). The corresponding cofactor is the signed determinant

The adjugate matrix adj M is the square matrix whose (i,j) entry is the (j,i) cofactor. We have

which encodes the rule for expansion of the determinant of M by any the cofactors of any row or column. This expression shows that if det M is invertible, then M is invertible and the matrix inverse is determined as

References