Samacheer Kalvi 10th Maths Exercise 3.14 Solutions
10th Maths Exercise 3.14 solutions (Chapter 3 Algebra) with step-by-step answers for all 13 questions, as per the 2026-27 Samacheer Kalvi textbook.
Answers at a glance
Write each of the following expression in terms of and .
(i)
Take LCM :
Use :
(ii)
LCM of and is :
(iii)
Expand:
(iv)
Take LCM :
Put :
The roots of the equation are and . Without solving for the roots, find
(i)
For :
(ii)
(iii)
Show steps (6)
Numerator
Denominator
The roots of the equation are , . Find the quadratic equation whose roots are
(i)
and
Show steps (7)
For :
Sum of new roots
Product
Equation:
(ii)
and
Sum
Product
(iii)
and
Sum
Product
If , are the roots of and if . Find the values of .
Show steps (8)
For :
Given
or
If one root of the equation is twice the other then find the values of .
Let the roots of be and .
Product:
Sum: , so and
If , ; if ,
or
If one root of the equation (having real roots) is the square of the other then find .
Show steps (6)
Let the roots of be and .
Product:
Sum:
Quick check
Find the matrix if
Question 1 of 5Show answer
Answer: (2)
The values of and if is a perfect square are
Question 2 of 5Show answer
Answer: (3)
Let .
Expanding: .
Compare terms: .
So and .
The solution of the system , , is
Question 3 of 5Show answer
Answer: (1)
From , .
Put in : .
Put in : .
If is a matrix and is a matrix, how many columns does have
Question 4 of 5Show answer
Answer: (2)
gives order .
So has columns.
The square root of is equal to
Question 5 of 5Show answer
Answer: (4)
Taking square root:
Chapter 3 formulas
- Roots of a quadratic equation
- Sum of the roots
- Product of the roots
- Quadratic equation formed from its roots
- Discriminant
- Nature of roots: real and unequal
- Nature of roots: real and equal
- Nature of roots: no real roots
- Cases for a system of linear equations in three variables
- LCM of algebraic expressions
- Quadratic polynomial and its zeroes
- Order of a matrix
- Row matrix (row vector)
- Column matrix (column vector)
- Square matrix
- Zero matrix (null matrix)
- Transpose of a matrix
- Diagonal matrix
- Scalar matrix
- Identity matrix (unit matrix)
- Lower triangular matrix
- Upper triangular matrix
- Equality of matrices