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Applied Mathematics · Class 12 Commerce

Ch 2Algebra — Class 12 Applied Mathematics, concept-first.

This concept map shows how the chapter fits together. Algebra here splits into three areas: Matrices (their order, types, algebra, transpose, symmetric/skew forms and inverse), Determinants (minors, cofactors, adjoint, area of a triangle and their properties), and using both to solve systems of linear equations (invers…

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Concept Map

This concept map shows how the chapter fits together. Algebra here splits into three areas: Matrices (their order, types, algebra, transpose, symmetric/skew forms and inverse), Determinants (minors, c…

2.2

Introduction

Before diving into formulas, it helps to see where matrices show up in everyday life. Think of the precise rows and columns of soldiers in a Republic Day parade, students seated by row and column in a…

2.3

Matrix

11 Q

A matrix is a rectangular array of numbers, symbols or expressions arranged in rows and columns, enclosed in a single pair of brackets.

2.3.1

Types of Matrices

Matrices come in several standard shapes, each with its own name and use.

2.4

Algebra of Matrices

With the vocabulary of matrices in place, we can now define arithmetic on them, mirroring what you already know for ordinary numbers.

2.4.1

Multiplication of a Matrix by a Scalar Value

Multiplying a matrix by a scalar (an ordinary number) is the simplest matrix operation: every single element of the matrix gets multiplied by that number.

2.4.2

Addition of Matrices

Two matrices can be added only when they have exactly the same order — you cannot add a matrix to a matrix, since there is no sensible way to pair up their elements.

2.4.3

Subtraction of Matrices

Subtraction works exactly like addition, just with elements subtracted instead of added. For two matrices and of the same order , their difference is

2.4.4

Multiplication of Matrices

Multiplying two matrices is less straightforward than adding or subtracting them, because it isn't simply a matter of multiplying corresponding elements.

2.5

Special Matrices

Beyond the basic shapes already introduced, a few special matrices — built from an existing matrix rather than defined from scratch — turn out to be especially useful: the transpose of a matrix, obtai…

+Exercise Bi10 questions
  1. Q1Complete the following table (Order of the matrix): | A | B | A±B | AB | |---|---|---|---| | $2\times 2$ | $2\times 2$ | | | | $2\times 3$ |…Free
  2. Q2For $A = \begin{bmatrix} 6 & -5 \\ -7 & 4 \end{bmatrix}$, $B = \begin{bmatrix} 1 & -3 \\ -2 & 4 \end{bmatrix}$ and $C = \begin{bmatrix} -2 &…Free
  3. Q3Consider $A = \begin{bmatrix} 1 & 3 & 4 \\ -2 & 1 & 2 \\ 3 & -2 & 1 \end{bmatrix}$, verify that $A.I = I.A = A$, where $I$ is the identity m…Free
  4. Q4If $A = \begin{bmatrix} 1 & -3 \\ -2 & 4 \end{bmatrix}$ and $B = \begin{bmatrix} 2 & -4 \\ -1 & 3 \end{bmatrix}$ then show that (i) $(A+B)'…Preview
  5. Q5Do as directed: (i) For $A = \begin{bmatrix} 6 & -5 \\ -7 & 4 \end{bmatrix}$, find $A^2 - 6A$. (ii) Evaluate $\begin{bmatrix} 2 & 1 & 3 \end…Preview
  6. Q6If $A = \begin{bmatrix} 8 & 0 \\ 4 & -2 \\ 3 & 6 \end{bmatrix}$ and $B = \begin{bmatrix} 2 & -2 \\ 4 & 2 \\ -5 & 1 \end{bmatrix}$, then find…Preview
  7. Q7Given $A = \begin{bmatrix} 1 & -1 & 0 \\ 2 & 3 & 4 \\ 0 & 1 & 2 \end{bmatrix}$, $B = \begin{bmatrix} 2 & 2 & -4 \\ -4 & 2 & -4 \\ 2 & -1 & 5…Preview
  8. Q8For $A = \begin{bmatrix} 1 & 2 & 3 \\ 3 & -2 & 1 \\ 4 & 2 & 1 \end{bmatrix}$ show that $A^3 - 23A - 40I = O$, where $I$ is an identity matri…Preview
  9. Q9Two booksellers A and B sell the textbook of Mathematics and Applied Mathematics. In the month of March, bookseller A sold 250 books of Math…Preview
  10. Q10Cost of a pen and a notebook are ₹12 and ₹27 respectively. On a given day, shopkeeper P sells 5 pens and 7 notebooks, whereas shopkeeper Q s…Preview
2.5.1

Transpose of a Matrix

The transpose of a matrix is the matrix obtained by interchanging its rows and columns — the first row of becomes the first column of the transpose, the second row becomes the second column, and so on…

2.5.2

Symmetric and Skew Symmetric Matrices

A square matrix is called symmetric when it is unchanged by transposition, that is — every element mirrored across the main diagonal is identical to the entry on the other side, for all .

2.6

Determinant

For a pair of simultaneous linear equations and , you already know the system has a unique solution precisely when .

2.6.1

Minor of an Element

The minor of an element in a determinant is found by deleting the entire row and the entire column that the element sits in, and taking the determinant of whatever remains.

2.6.2

Cofactor of an Element of a Determinant

The cofactor of an element refines its minor with a sign that depends on position. For the element in row , column , the cofactor is denoted (or ) and defined as

2.6.3

Adjoint of a Matrix

The adjoint of a square matrix , written , is formed by first replacing every element of with its own cofactor (giving the cofactor matrix), and then taking the transpose of that cofactor matrix.

2.6.4

Area of Triangle

The determinant also gives a compact formula for the area of a triangle whose vertices are known coordinates. For a triangle with vertices , and ,

2.6.5

Properties of a Determinant

Several structural properties make determinants easier to compute and manipulate, without ever multiplying everything out by hand.

2.7

Inverse of a Matrix

A square matrix of order is called invertible if there exists another square matrix of the same order such that , where is the identity matrix of order .

2.7.1

Finding Inverse Matrix by Elementary Operations (Transformation)

An elementary operation (or transformation) is one of three simple moves you can make on the rows (or, separately, the columns) of a matrix: interchanging two rows, denoted ; multiplying every element…

2.7.2

Finding Inverse Matrix by Inverse of Coefficient Matrix Method

Recall that for any square matrix of order , the adjoint satisfies . Dividing through by , whenever that's possible, immediately gives a ready-made formula for the inverse:

2.8

Solving System of Simultaneous Linear Equations

A system of simultaneous linear equations in two or three variables can be rewritten compactly as a single matrix equation, , where is the matrix of coefficients, is the column of unknowns, and is the…

2.8.1

Inverse of Coefficient Matrix

Once a system of equations is written in matrix form , and provided the coefficient matrix is invertible (that is, ), the solution can be found directly by multiplying both sides on the left by :

2.8.2

Cramer's Rule

Cramer's rule solves a system of linear equations using only determinants, without ever explicitly computing an inverse.

2.8.3

Row Reduction Method

The row reduction method solves a system by writing the coefficients and constants together as a single augmented matrix , and then applying the same elementary row operations used earlier to find inv…

2.9

Application of Matrices and Determinants

Matrices and determinants aren't just an abstract exercise — they show up as working tools across a surprising range of fields.

2.9.1

Leontief Input-output Model for Two Variables

In a real economy, sectors rarely work in isolation — an automobile sector might rely on steel, electricity and rubber, while those very sectors also consume some of what the automobile sector produce…

2.10

Unit Summary

This section pulls together the core definitions, properties and formulae of the Algebra unit of CBSE Class 12 Applied Mathematics (subject code 241) — matrices, their operations, determinants and the…