Samacheer Kalvi 10th Maths Exercise 3.10 Solutions
10th Maths Exercise 3.10 solutions (Chapter 3 Algebra) with step-by-step answers for all 6 questions, as per the 2026-27 Samacheer Kalvi textbook.
(i)
Solve the following quadratic equations by factorization method:
Show steps (7)
Product of coefficient of and constant .
Split as (since ).
or
(ii)
Solve the following quadratic equations by factorization method:
Show steps (7)
Product ; split as .
(iii)
Solve the following quadratic equations by factorization method:
Show steps (7)
Squaring both sides,
Split as .
(iv)
Solve the following quadratic equations by factorization method:
Show steps (7)
Product ; split as .
(v)
Solve the following quadratic equations by factorization method:
Show steps (6)
Multiplying by :
Split as (product ).
The number of volleyball games that must be scheduled in a league with teams is given by where each team plays with every other team exactly once. A league schedules games. How many teams are in the league?
Show steps (7)
Given
or ; number of teams cannot be negative, so .
teams
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