**Determinants for Class 12 notes** are available here, as per the syllabus guided by the boards. We have already learned that the algebraic equations can be expressed in the form of matrices. To determine the uniqueness of solution associated with such matrices, we find the determinant. It has huge applications in Engineering, Economics, Science, etc. Here we will learn the determinants up to order 3 with real entries. Apart from it, we will study the properties, cofactors and applications of determinants along with finding the area of a triangle.

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## Determinant Class 12th Notes

Every square matrix A of the order n, can associate a number called determinants of the square matrix A.

### Determinant of the order one (1×1)

Consider a matrix A = [a], then the determinant of the matrix is equal to a.

### Determinant of the order Two (2×2)

If the order of the matrix is 2, then the determinants is defined matrix A, where A is-

\(A= \begin{bmatrix} a_{11} & a_{12}\\ a_{21} & a_{22} \end{bmatrix}\)Determinant of A = \(\left |A \right |= \begin{vmatrix} a_{11} & a_{12}\\ a_{21} & a_{22} \end{vmatrix}\) \(= a_{11}. a_{22} – a_{21}.a_{12}\)

Similarly we can find the determinant of the order 3×3

### Determinant of the Order Three (3×3)

Suppose a matrix A of order three is given:

\(A= \begin{bmatrix} a_{11} & a_{12} & a_{13}\\ a_{21} & a_{22} & a_{23}\\ a_{31} & a_{32} & a_{33} \end{bmatrix}\)Then the determinant for a 3×3 matrix is given by;

|A| = a_{11} a_{22} a_{33} â€“ a_{11} a_{23} a_{32} â€“ a_{12} a_{21} a_{33} + a_{12} a_{23} a_{31} + a_{13} a_{21} a_{32} â€“ a_{13} a_{31} a_{22}

### Properties of Determinant for 12th Class

**Let us now look on to the properties of the Determinants:**

**Property 1- **The value of the determinant remains unchanged if the rows and columns of a determinant are interchanged.

**Property 2- **If any two rows (or columns) of determinants are interchanged, then sign of determinants changes.

**Property 3- **If any two rows or columns of a determinant are equal or identical, then the value of the determinant is 0.

**Property 4- **If each element of a row or a column is multiplied by a constant value k, then the value of the determinant originally obtained is multiplied with k.

### Area of Triangle Using Determinant

We have already learned, that the area of a triangle whose vertices are (x_{1}, y_{1}), (x_{2}, y_{2}) and (x_{3}, y_{3}) is given by;

**A = 1/2[x _{1}(y_{2}â€“y_{3}) + x_{2}(y_{3}â€“y_{1}) + x_{3}(y_{1}â€“y_{2})]**

Now, we can write the above expression in the form of the determinant as;

\(\Delta = \frac{1}{2}\begin{vmatrix} x_{1} & y_{1} & 1\\ x_{2} & y_{2} & 1\\ x_{3} & y_{3} & 1 \end{vmatrix}\)**Example: Find the area of triangle whose vertices are (2,4), (-4,1) and (4,1).**

Solution: By the formula of area of a triangle, written in determinant form, we can write;

\(\Delta = \frac{1}{2}\begin{vmatrix} 2 & 4 & 1\\ -4 & 1 & 1\\ 4 & 1 & 1 \end{vmatrix}\)âˆ† = 1/2 [2(1-1) – 4(-4-4)+1(-4-4)

âˆ† = 1/2 [-4(-8) + (-8)]

âˆ† = 1/2 [ 32 – 8]

âˆ† = 1/2 x 24

âˆ† = 12 sq.unit.

### Minors and Cofactors

Minor of an element a_{ij} of a determinant is the determinant obtained by deleting its ‘ith’ row and ‘jth’ column in which element a_{ij} lies. Minor of an element a_{ij} is denoted by M_{ij}.Â Minor of an element of aÂ determinant of order n(n â‰¥ 2) is a determinant of order n â€“ 1. Or in simple words we can say, the minor of any element in a determinant is the determinant of just the single element. Suppose,

M_{f} = a.h – b.g

Cofactor of an elementÂ a_{ij} in a determinant is defined by;

A_{ij}= (-1)^{i+j}M_{ij}

**Example: Find the minor and cofactor of third element in determinantÂ \(\begin{vmatrix} 1 & -2\\ 4 & 3 \end{vmatrix}\).**

Solution: Here the third element is 4.

So, minor of element of 4 = -2

and cofactor of element 4 = (-1)^{2+1}(Minor of element 4)

A_{21} = (-1)^{3}(-2) = (-1)(-2) = 2

Apart from these topics, there are few more topics covered in chapter 4 of class 12 Maths, such as;

- adjoint and inverse of a square matrix
- consistency and inconsistency of linear equations
- the solution of linear equations in two or three variables using the inverse of a matrix

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