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
Friday, May 29, 2015
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:
\[ \text{Total Ways} = \binom{8}{4} \times D_4 = 70 \times 9 = 630 \]Wednesday, May 27, 2015
Indian Statistical Institute B.Math & B.Stat : Combinatorics
Indian Statistical Institute B.Math & B.Stat : Integration
Monday, May 25, 2015
Indian Statistical Institute B.Math & B.Stat : Continuity
Saturday, May 23, 2015
Combinatorics :Indian Statistical Institute B.Math & B.Stat
Thursday, May 21, 2015
Complex Numbers :Indian Statistical Institute B.Math & B.Stat
Let \(\omega\) be the complex cube root of unity. Find the cardinality of the set \(S\) where \(S = \{(1+\omega+\omega^2+\dots+\omega^n)^m \mid m,n = 1,2,3,\dots\}\)
Note that the sum \(1+\omega+\omega^2+\dots+\omega^n\) contains \(n+1\) terms. The power \(n\) must be of the form \(3k\), \(3k+1\) or \(3k+2\) where \(k \in \mathbb{N} \cup \{0\}\).
When \(n\) is of the form \(3k+2\), there are \(3k+3\) terms (a multiple of 3). Because \(1+\omega+\omega^2 = 0\), the sum evaluates to \(0\). Whence \((1+\omega+\omega^2+\dots+\omega^n)^m = 0^m = 0\) \(\forall m \in \mathbb{N}\).
When \(n\) is a multiple of 3 (i.e., \(3k\)), there are \(3k+1\) terms. The sum evaluates to \(1\). Whence \((1+\omega+\omega^2+\dots+\omega^n)^m = 1^m = 1\) \(\forall m \in \mathbb{N}\).
When \(n\) is of the form \(3k+1\), there are \(3k+2\) terms. The sum evaluates to \(1+\omega = -\omega^2\). Whence \((1+\omega+\omega^2+\dots+\omega^n)^m = (-\omega^2)^m = (-1)^m \omega^{2m}\) \(\forall m \in \mathbb{N}\).
In this final case, as \(m\) varies over the natural numbers, the expression \((-1)^m \omega^{2m}\) generates 6 distinct values: \(-\omega^2, \omega, -1, \omega^2, -\omega, 1\).
Combining the three cases, we see that \( S = \{0, -1, 1, \omega, -\omega, \omega^2, -\omega^2\} \), therefore \(|S|=7\).
Saturday, May 9, 2015
Common terms of two A.P Series : Indian Statistical Institute B.Math & B.Stat
Application of Rolle's Theorem
Have you ever looked at a polynomial and wondered if it has a root in a specific interval, without actually having to solve it?
Calculus gives us an incredibly elegant workaround for this exact scenario: Rolle's Theorem. Let's walk through a classic problem that demonstrates how we can find hidden roots by stepping up one level of abstraction.
The Problem
Suppose we have four real numbers \(a_0, a_1, a_2,\) and \(a_3\) that satisfy the following condition:
The Goal: Prove that the polynomial \(f(x) = a_0 + a_1x + a_2x^2 + a_3x^3\) has at least one root in the interval \((0, 1)\).
The Intuition: Where do we start?
When asked to prove that a function \(f(x)\) equals zero at some point, a calculus student's first instinct should be to look for an antiderivative.
Why? Because Rolle's Theorem tells us that if a continuous, differentiable function starts and ends at the exact same height on a graph (for instance, if it equals \(0\) at both ends of an interval), it must flatten out somewhere in between. At that flat point, its derivative is exactly zero.
So, if we can find a parent function \(g(x)\) such that \(g'(x) = f(x)\), and we can show that \(g(x)\) is tied down at \(x=0\) and \(x=1\), the theorem will do the heavy lifting for us.
The Proof
Step 1: Construct the parent function, \(g(x)\).
To find our function \(g(x)\), we simply integrate \(f(x)\) with respect to \(x\):
$$g(x) = a_0x + \frac{a_1}{2}x^2 + \frac{a_2}{3}x^3 + \frac{a_3}{4}x^4$$
(Note: We can ignore the constant of integration \(+C\) here by simply setting it to \(0\), as we just need one valid parent function).
Step 2: Evaluate the endpoints of our interval \([0, 1]\).
Let's plug our bounds into \(g(x)\) to see how the function behaves at the edges.
At \(x = 0\):
At \(x = 1\):
$$g(1) = a_0 + \frac{a_1}{2} + \frac{a_2}{3} + \frac{a_3}{4}$$
Notice something familiar? The problem explicitly states that \(a_0 + \frac{a_1}{2} + \frac{a_2}{3} + \frac{a_3}{4} = 0\). Therefore:
Step 3: Apply Rolle's Theorem.
We now have a function \(g(x)\) where:
- \(g(x)\) is a polynomial, meaning it is perfectly continuous on the closed interval \([0,1]\) and differentiable on the open interval \((0,1)\).
- \(g(0) = g(1) = 0\).
Because both endpoints are at the same \(y\)-value, the graph of \(g(x)\) must turn around at least once between \(x=0\) and \(x=1\).
By Rolle's Theorem, there must exist at least one point \(c\) in the interval \((0, 1)\) where the derivative is zero:
Since \(g'(x)\) is just our original polynomial \(f(x)\), this means:
Conclusion:
We have successfully proven that \(f(x)\) has at least one root exactly where we wanted it: inside the interval \((0, 1)\).
