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Cofactor of a Matrix [ English ]

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1. Introduction

In matrix theory, the concept of a cofactor is fundamental for computing:

Cofactors are derived from minors and incorporate a sign pattern that is essential in determinant expansion.


2. Definition of Cofactor

The cofactor of an element in a matrix is defined as:

Cij = (-1)^(i+j) × Mij

Where:


3. Minor of an Element

Before finding a cofactor, we compute the minor.

Definition:

The minor (Mij) of an element is the determinant of the matrix obtained by deleting:


4. Sign Pattern of Cofactors

The sign of each cofactor follows a checkerboard pattern:

|  +   -   + |
|  -   +   - |
|  +   -   + |

This pattern comes from (-1)^(i+j).


5. Example: Cofactors of a 2×2 Matrix

Let:

A = | a  b |
    | c  d |

Cofactors:

Cofactor matrix:

|  d   -c |
| -b    a |

6. Example: Cofactors of a 3×3 Matrix

Let:

A = | 1  2  3 |
    | 0  4  5 |
    | 1  0  6 |

Step 1: Find Minors and Cofactors

First Row:

Second Row:

Third Row:


Cofactor Matrix:

|  24   5   -4 |
| -12    3    2 |
|  -2   -5    4 |

7. Cofactor Expansion (Determinant)

Cofactors are used to compute determinants:

det(A) = a11C11 + a12C12 + a13C13

This is called expansion along a row.


8. Relation with Adjoint

The adjoint of a matrix is obtained by:

adj(A) = transpose of cofactor matrix

9. Applications of Cofactor

(a) Determinants

(b) Matrix Inverse

(c) Linear Algebra Computations


10. Key Observations


11. Summary

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