Welcome to Prime Maths, your ultimate destination for mastering mathematics. We provide comprehensive, step-by-step sol Entrance Exam Solutions: Solved Problems for ISI B.Math/B.Stat, CMI, JEE (IIT), Olympiads, and CBSE/ISC/ICSE Mathematics Board Papers. Practice Problems and Chapter Test on various topics for CBSE, ICSE, Madhyamik, HS and ISC students
Monday, August 17, 2015
Indian Statistical Institute ( ISI ) B.Math & B.Stat : Algebra
Indian Statistical Institute ( ISI ) B.Math & B.Stat : Algebra
Sunday, August 16, 2015
Indian Statistical Institute (ISI) B.Math & B.Stat : Combinatorics
Thursday, July 23, 2015
Indian Statistical Institute (ISI) B.Math & B.Stat : Algebra
Monday, July 20, 2015
Indian Statistical Institute ( ISI ) B.Math & B.Stat : Number Theory
Sunday, July 19, 2015
Indian Statistical Institute ( ISI ) B.Math & B.Stat :Complex Numbers
Saturday, July 18, 2015
Indian Statistical Institute ( ISI ) B.Math & B.Stat : Co-ordinate Geometry

Friday, July 17, 2015
Indian Statistical Institute (ISI) B.Math & B.Stat : Trigonometry

Sunday, July 5, 2015
Indian Statistical Institute B.Math & B.Stat : Trigonometry
Indian Statistical Institute B.Math & B.Stat : Trigonometry
Indian Statistical Institute B.Math & B.Stat : Quadratic Equations
Saturday, July 4, 2015
Indian Statistical Institute B.Math & B.Stat : Real Analysis
Wednesday, July 1, 2015
Indian Statistical Institute B.Math & B.Stat : Complex Numbers
Thursday, June 18, 2015
Indian Statistical Institute B.Math & B.Stat : Polynomials
Wednesday, June 17, 2015
Indian Statistical Institute B.Math & B.Stat : Combinatorics
Saturday, June 13, 2015
Indian Statistical Institute B.Math & B.Stat : Polynomials
Indian Statistical Institute B.Math & B.Stat : Polynomials
Friday, June 12, 2015
Indian Statistical Institute B.Math & B.Stat : Number Theory
Indian Statistical Institute B.Math & B.Stat : Number Theory
Thursday, June 11, 2015
Indian Statistical Institute B.Math & B.Stat : Combinatorics
Indian Statistical Institute B.Math & B.Stat : Combinatorics
Wednesday, June 10, 2015
Indian Statistical Institute B.Math & B.Stat : Combinatorics
Indian Statistical Institute B.Math & B.Stat : Integration
Tuesday, June 9, 2015
Indian Statistical Institute B.Math & B.Stat : Integration
Indian Statistical Institute B.Math & B.Stat : Inequality
Indian Statistical Institute B.Math & B.Stat : Differentiation
Monday, June 8, 2015
Indian Statistical Institute B.Math & B.Stat: Integration and Continuity
Indian Statistical Institute B.Math & B.Stat : Continuity and Bijections
Saturday, June 6, 2015
Problems : Limits
Friday, June 5, 2015
Indian Statistical Institute B.Math & B.Stat : Roots of Polynomial
Problem: Root Multiplicity
Solution:
Let \( f(x) = x(x+1)(x+2)\dots(x+2009) - c \). Note that \( f(x) \) is a polynomial of degree 2010.
First, we compute the derivative \( f'(x) \). By the generalized product rule, the derivative of a product of \( n \) factors is the sum of \( n \) terms, where in each term exactly one factor is differentiated (which is just 1 in this case) and the rest are left alone. Therefore:
\( f'(x) = \sum_{j=0}^{2009} \prod_{\substack{i=0 \\ i \neq j}}^{2009} (x+i) \)
Now, let's evaluate \( f'(x) \) at the integers \( x = -r \), where \( r \in \{0, 1, 2, \dots, 2009\} \). Because every term in the sum contains the factor \( (x+r) \) except the term where \( j=r \), all terms in the sum will evaluate to 0 except that one specific term.
Thus, evaluating at \( x = -r \) gives:
\[ f'(-r) = (-r)(-r+1)\dots(-1)(1)(2)\dots(2009-r) \] \[ f'(-r) = (-1)^r r! (2009-r)! \]Since factorials are always positive, the sign of \( f'(-r) \) depends entirely on \( (-1)^r \). It is positive if \( r \) is even, and negative if \( r \) is odd. Evaluating this for our range gives alternating signs:
- \( f'(0) > 0 \)
- \( f'(-1) < 0 \)
- \( f'(-2) > 0 \)
- ...
- \( f'(-2008) > 0 \)
- \( f'(-2009) < 0 \)
By the Intermediate Value Theorem, since the continuous function \( f'(x) \) changes sign between each of these consecutive integers, \( f'(x) = 0 \) must have at least one real root in each of the open intervals: \( (-1, 0), (-2, -1), \dots, (-2009, -2008) \).
There are exactly 2009 such intervals. Since the degree of \( f'(x) \) is 2009, it can have at most 2009 roots. Therefore, \( f'(x) \) has exactly 2009 distinct real roots (one in each interval). Because all 2009 roots are distinct, every root of \( f'(x) \) is simple (meaning no root of \( f'(x) \) has a multiplicity greater than 1).
Finally, we apply the property of multiple roots: If a polynomial \( f(x) \) has a root of multiplicity \( k \ge 3 \), then its derivative \( f'(x) \) must have that same root with multiplicity \( k-1 \ge 2 \). However, we just proved that \( f'(x) \) only has roots of multiplicity 1. Therefore, no root of \( f(x) = 0 \) can have a multiplicity of 3 or higher. A root of the equation can have a multiplicity of at most 2.
Wednesday, June 3, 2015
Indian Statistical Institute B.Math & B.Stat : Integration
$$$$
So, \( \int_{k-\frac{1}{2}}^{k+\frac{1}{2}} f(x) dx = \int_{k-\frac{1}{2}}^{k+\frac{1}{2}} |x-k| dx = \int_{k-\frac{1}{2}}^{k} (k-x) dx + \int_{k}^{k+\frac{1}{2}} (x-k) dx = \frac{1}{4}\) for $k=2,3,4\dots,n$.$$$$
Summing for $k=2,3,4\dots,n$ we get \[\int_{1+\frac{1}{2}}^{n+\frac{1}{2}} f(x) dx = \frac{(n-1)}{4} \dots (C)\] $$$$
Adding equations $A,C$ and $B$ we get \[ \int_{0}^{n+1} f(x) dx = \int_{0}^{1+\frac{1}{2}} f(x) dx+ \int_{1+\frac{1}{2}}^{n+\frac{1}{2}} f(x) dx+\int_{n+\frac{1}{2}}^{n+1} f(x) dx = \frac{1}{2}+ \frac{1}{2} \times \frac{1}{4}+ \frac{(n-1)}{4}+ \frac{1}{2}- \frac{1}{2} \times \frac{1}{4} \] $$$$
\[= \frac{(n-1)}{4}+1 = \frac{n+3}{4} \]
Tuesday, June 2, 2015
Indian Statistical Institute B.Math & B.Stat : Square of a real is non-negative
Indian Statistical Institute B.Math & B.Stat : Limits at Infinity
Saturday, May 30, 2015
Inequality
Matrices & Determinants
Indian Statistical Institute B.Math & B.Stat : Number Theory
Indian Statistical Institute B.Math & B.Stat : Combinatorics
Indian Statistical Institute B.Math & B.Stat : Number Theory
Friday, May 29, 2015
Indian Statistical Institute B.Math & B.Stat : Number Theory
Indian Statistical Institute B.Math & B.Stat : Integration
Indian Statistical Institute B.Math & B.Stat : Number Theory
Indian Statistical Institute B.Math & B.Stat : Inequality
Thursday, May 28, 2015
Indian Statistical Institute B.Math & B.Stat : Combinatorics
Problem 1: Points on a Curve
Solution:
First, note the prime factorization of the number: \( 27027 = 3^3 \times 13^1 \times 11^1 \times 7^1 \).
Since \( x \) and \( y \) must be positive integers, for every chosen positive integer \( x \) that divides 27027, there is exactly one corresponding integer \( y \) (where \( y = \frac{27027}{x} \)). Therefore, the number of good points is simply equal to the total number of positive divisors of 27027.
Using the divisor function formula \( \tau(n) \), if \( n = p_1^{a_1} p_2^{a_2} \dots p_k^{a_k} \), the number of divisors is \( (a_1 + 1)(a_2 + 1) \dots (a_k + 1) \).
Applying this to our factorization:
\[ \tau(27027) = (3+1)(1+1)(1+1)(1+1) = 4 \times 2 \times 2 \times 2 = 32 \]There are 32 good points on the curve.
Problem 2: Ordered Triplets
Solution:
First, find the prime factorization of 1000, which is \( 2^3 \times 5^3 \).
Any ordered triplet \( (a, b, c) \) satisfying the condition must be of the form:
- \( a = 2^{l_1} \times 5^{m_1} \)
- \( b = 2^{l_2} \times 5^{m_2} \)
- \( c = 2^{l_3} \times 5^{m_3} \)
For \( abc = 2^3 \times 5^3 \) to hold true, the powers of each prime base must add up to 3. This gives us two independent equations:
- \( l_1 + l_2 + l_3 = 3 \)
- \( m_1 + m_2 + m_3 = 3 \)
We need to find the number of non-negative integer solutions for each equation. Using the "Stars and Bars" combinatorics method, the number of solutions to \( x_1 + x_2 + x_3 = n \) is given by \( \binom{n+r-1}{r-1} \), where \( r \) is the number of variables.
For the powers of 2: \( \binom{3+3-1}{3-1} = \binom{5}{2} = 10 \) solutions.
For the powers of 5: \( \binom{3+3-1}{3-1} = \binom{5}{2} = 10 \) solutions.
Since the distributions of the powers of 2 and 5 are independent, we multiply the possibilities:
\[ 10 \times 10 = 100 \]Thus, in total 100 ordered triplets are possible.
Problem 3: Derangements and Boxes
Solution:
First, we must choose which 4 balls will go into their correct boxes. This can be done in \( \binom{8}{4} \) ways. For any such selection—say we choose \( \{Ball_2, Ball_5, Ball_3, Ball_7\} \)—there is exactly 1 way for them to go into their corresponding boxes.
Now, the remaining 4 balls—in this example, \( \{Ball_1, Ball_4, Ball_6, Ball_8\} \)—must be placed into the remaining 4 boxes such that none of them end up in a box matching their own number. This is the classic definition of a derangement.
The number of ways to derange \( n \) objects is denoted as \( D_n \). The formula for a derangement is:
\[ D_n = n! \left( 1 - \frac{1}{1!} + \frac{1}{2!} - \frac{1}{3!} + \dots + (-1)^n\frac{1}{n!} \right) \]For our remaining 4 balls, we calculate \( D_4 \):
\[ D_4 = 4! \left( 1 - 1 + \frac{1}{2} - \frac{1}{6} + \frac{1}{24} \right) = 24 \left( \frac{1}{2} - \frac{1}{6} + \frac{1}{24} \right) = 12 - 4 + 1 = 9 \]The total number of valid configurations is the product of our choices:
\[ \text{Total Ways} = \binom{8}{4} \times D_4 = 70 \times 9 = 630 \]