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Matrix

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The price matrix lists article costs across two shops, and transposing it swaps the roles of rows and columns. Profit per unit can be combined with the price matrix using matrix multiplication to find the total profit from each shop. Determinants of square matrices help identify singular and non-singular matrices, using the formula ad − bc for 2×2 matrices. The inverse of a matrix exists only when its determinant is non-zero, and it is used to solve linear systems through X = A⁻¹B. Cramer’s rule gives another method for solving two-variable systems using determinants. Common examples involve evaluating determinants, finding inverses, solving equations with matrix methods, and verifying properties like |AB| = |A||B|.
  • Table of Prices:

Take the reference of table from image attached below.(Table 1.1)

INTERCHANGING ROWS AND COLUMNS (TRANSPOSE)

Original matrix:
Rows represent articles (Pen, Copy, Bag)
Columns represent shops (A, B)

After interchanging:
Rows represent shops (A, B)
Columns represent articles (Pen, Copy, Bag)

Meaning:
Prices are now compared shop-wise instead of article-wise.

PROFIT PER UNIT

Pen = Rs. 4
Copy = Rs. 6
Bag = Rs. 50

PRICE MATRIX A (3 x 2)

Rows: Pen, Copy, Bag
Columns: Shop A, Shop B

A =
40 50
35 30
400 450

PROFIT ROW MATRIX B (1 x 3)

B =
4 6 50

PRODUCT BA

Multiply profit row with price matrix:

For Shop A:
4×40 + 6×35 + 50×400
= 160 + 210 + 20000
= 20370

For Shop B:
4×50 + 6×30 + 50×450
= 200 + 180 + 22500
= 22880

BA =
20370 22880

INTERPRETATION OF BA

First value represents total profit from Shop A = Rs. 20370
Second value represents total profit from Shop B = Rs. 22880

7.1 DETERMINANT OF A MATRIX

Definition

Determinant is a number associated with a square matrix.
It is denoted by |A|.

DETERMINANT OF 1 x 1 MATRIX

For [a], determinant = a

DETERMINANT OF 2 x 2 MATRIX

For matrix:
a b
c d

Determinant:
|A| = ad − bc

SINGULAR MATRIX

If |A| = 0
Matrix is singular and has no inverse.

NON-SINGULAR MATRIX

If |A| ≠ 0
Matrix has an inverse.

EXAMPLES OF DETERMINANTS

Example 1:
2 1
0 2

|A| = (2×2 − 1×0) = 4

Example 2:
1 2
2 4

|A| = (1×4 − 2×2) = 0 (singular)

Example 3:
5 3
-1 -4

|A| = 5×(-4) − 3×(-1)
= -20 + 3
= -17

3.2 INVERSE OF A MATRIX

Definition

Inverse of matrix A is A inverse such that:
A × A inverse = Identity matrix

CONDITION FOR INVERSE

Inverse exists only if determinant is not zero.

INVERSE OF 2 x 2 MATRIX

For matrix:
a b
c d

Inverse =
1 / (ad − bc) ×
d -b
-c a

EXAMPLE OF INVERSE

Matrix:
4 -7
-3 2

Determinant:
4×2 − (-7×-3) = 8 − 21 = -13

Inverse =
1 / -13 ×
2 7
3 4

3.3 SOLUTION OF LINEAR EQUATIONS (MATRIX METHOD)

General form:
AX = B
Solution:
X = A inverse × B

EXAMPLE 1

3x + y = 8
x + 2y = 7

Solution:
x = 9/5
y = 13/5

3.4 CRAMER’S RULE

For equations:
a1x + b1y = c1
a2x + b2y = c2

D = a1b2 − a2b1
Dx = c1b2 − c2b1
Dy = a1c2 − a2c1

x = Dx / D
y = Dy / D

CRAMER’S RULE EXAMPLE

2x + 3y = 7
4x − y = 5

D = (2×-1 − 4×3) = -2 − 12 = -14
Dx = (7×-1 − 5×3) = -7 − 15 = -22
Dy = (2×5 − 4×7) = 10 − 28 = -18

x = 11/7
y = 9/7

DETERMINANT PROPERTY VERIFICATION

|AB| = |A||B|

Matrix A:
1 2
3 4

Matrix B:
0 1
1 0

|A| = -2
|B| = -1
|A||B| = 2

AB =
2 1
4 3

|AB| = 2

Property verified.

 

Visit this link for further practice!!

https://besidedegree.com/exam/s/academic

 

Gallery

Table 1.1
Table 1.1

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