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Adjoint of a Matrix [ English ]

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1. Introduction

In matrix theory, especially when dealing with inverses of matrices, the concept of the adjoint (also called adjugate) plays a central role. It provides a systematic method to compute the inverse of a square matrix.

The adjoint is constructed using minors and cofactors, making it an important bridge between determinants and matrix inverses.


2. Definition of Adjoint of a Matrix

The adjoint of a matrix is the transpose of its cofactor matrix.

Formal Definition:

If A is a square matrix, then:

adj(A) = transpose of [cofactor matrix of A]

3. Steps to Find Adjoint of a Matrix

To compute the adjoint of a matrix A, follow these steps:

Step 1: Find the Minor of each element

Step 2: Compute Cofactors

Step 3: Form the Cofactor Matrix

Step 4: Take the Transpose


4. Minor and Cofactor

(a) Minor

The minor of an element is the determinant of the matrix obtained by removing its row and column.


(b) Cofactor

The cofactor is given by:

Cij = (-1)^(i+j) × Mij

Where:


5. Example: Adjoint of a 2×2 Matrix

Let:

A = | a  b |
    | c  d |

Step 1: Cofactor Matrix

|  d   -c |
| -b    a |

Step 2: Transpose

adj(A) = |  d  -b |
         | -c   a |

6. Example: Adjoint of a 3×3 Matrix

Let:

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

Step 1: Find Cofactors

Compute cofactors for each element:

Cofactor matrix:

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

Step 2: Transpose

adj(A) = | 24  -12  -2 |
         | -5    3  -5 |
         | -4    2   4 |

7. Relation with Inverse of Matrix

The adjoint is used to find the inverse:

A⁻¹ = (1 / det(A)) × adj(A)

Condition:


8. Properties of Adjoint


9. Applications of Adjoint

(a) Finding Inverse of Matrix

(b) Solving Linear Equations

(c) Mathematical Computations


10. Key Observations


11. Summary

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