Problem 97
Question
The coefficient of \(x^{\mathrm{n}}\) in polynomial \(\left(x+{ }^{2 \mathrm{n}+1} C_{0}\right)\left(x+{ }^{2 \mathrm{n}+1} C_{1}\right)\left(x+{ }^{2 \mathrm{n}+1} C_{2}\right) \ldots .\left(x+{ }^{2 \mathrm{n}+1} C_{\mathrm{n}}\right)\) is (A) \(2^{2 n+1}\) (B) \(2^{2 n}\) (C) \(2^{2 n-1}\) (D) none of these
Step-by-Step Solution
Verified Answer
The correct option is (A) \(2^{2n+1}\).
1Step 1: Understand the Polynomial Structure
We have a polynomial formed by the product of binomials: \((x + {}^{2n+1}C_0)(x + {}^{2n+1}C_1) \ldots (x + {}^{2n+1}C_n)\). Each binomial has a constant term \({}^{2n+1}C_k\) and a linear term \(x\).
2Step 2: Consider the Coefficient of x^n
The term \(x^n\) is formed by selecting the linear term \(x\) from exactly \(n\) of the \(n+1\) binomials and the constant term \({}^{2n+1}C_k\) from the remaining \(n+1-n = 1\) binomial. Thus, the number of ways to select \(n\) binomials from \(n+1\) is \({}^{n+1}C_n = n+1\).
3Step 3: Determine the Contribution of Each Choice
Each choice of \(n\) linear terms \(x\) contributes a product of the constant terms from the \(1\) remaining binomial. Thus, each such product is \({}^{2n+1}C_k\), where \(k\) is the binomial from which the constant term is selected.
4Step 4: Calculate the Sum of All Coefficients
For each choice of \(n\) \(x\)'s, the remaining constant term's coefficients sum up to the symmetric sum of binomial coefficients: \(\sum_{k=0}^{n} {}^{2n+1}C_k = 2^{2n+1}\), due to the binomial theorem (sum of all binomial coefficients for a given expansion is \(2^p\) for polynomial degree \(p\)).
5Step 5: Find the Coefficient of x^n
Therefore, the coefficient of \(x^n\) in the expansion is given by the number of ways to choose \(n\) factors: \({}^{n+1}C_n \times \text{sum of constant terms} = 2^{2n+1}\).
6Step 6: Conclusion: Select the Correct Option
The coefficient of \(x^n\) in the given polynomial expansion is \(2^{2n+1}\). Thus, the correct option is (A) \(2^{2n+1}\).
Key Concepts
Polynomial ExpansionCoefficient CalculationCombinatorics
Polynomial Expansion
Polynomial expansion is a key concept in mathematics that involves expressing a polynomial raised to a certain power as a sum of terms. For example, when dealing with a polynomial like \( (x+a)^n \), expanding it means writing it out in full, such as \( x^n + nx^{n-1}a + \dots + a^n \).To perform a polynomial expansion, it's essential to understand each term's structure. Each term is typically a product of powers of the polynomial's variables and constants. You will often use the Binomial Theorem for expansion, especially where binomial expressions are involved \((a+b)^n\). This theorem provides a shortcut for expanding binomials without having to multiply them repeatedly.
- Identify the individual components: Powers of terms, like \(x^k\) or \(a^m\).
- Apply relevant equations: Use binomial coefficients, represented as \( \binom{n}{k} \), denoting combinations.
- Sum the terms: Add up all the derived terms to get the expanded polynomial.
Coefficient Calculation
Calculating coefficients is a fundamental task when dealing with polynomial expressions. Coefficients are the numerical factors that multiply the variable terms in an equation. For example, in \( 3x^2 + 5x + 2 \), the coefficients are 3, 5, and 2.When you need to find the coefficient of a specific term within an expanded polynomial, you often utilize binomial coefficients. In our context, we're interested in finding the coefficient of \( x^n \) in the expanded form.Here’s how to calculate it:
- Choose the number of linear terms \(x\) from the available binomials; the rest will be constants.
- Use combinatorial counting methods to determine how many ways this can occur. The binomial coefficient \( \binom{n+1}{n} = n+1 \) illustrates the number of ways to choose \(n\) items from \(n+1\).
- Multiply the outcome of this combinatorial process with the sum of constant term contributions.
Combinatorics
Combinatorics is the branch of mathematics focused on counting, arranging, and finding patterns. It is vital in many fields of mathematics, including polynomial studies. Combinatorial methods are essential when working with binomials and polynomial expansions.In the problem we are addressing, combinatorics is used to determine the number of ways linear terms \((x)\) can be chosen from the polynomial's factors.
- Combinatorics helps in counting the possible arrangements or selections of items. For instance, selecting \(n\) linear terms from \(n+1\) available factors.
- Utilizing combinations, denoted by \( \binom{n}{k} \), shows different ways to pick \(k\) items from a larger set \(n\).
- This application reduces the complexity of calculating polynomial coefficients, as seen in the coefficient calculation for \(x^n\).
Other exercises in this chapter
Problem 95
Let \(n\) be an odd natural number greater than \(1 .\) Then, the number of zeros at the end of the sum \(99^{\mathrm{n}}+1\) is (A) 2 (B) 3 (C) 4 (D) none of t
View solution Problem 96
\(\sum_{r=0}^{n} \frac{1}{(2 r) !(2 n-2 r) !}=\) (A) \(\frac{2^{2 n}}{(2 n) !}\) (B) \(\frac{2^{2 n-1}}{(2 n) !}\) (C) \(\frac{2^{2 n+1}}{(2 n) !}\) (D) none of
View solution Problem 98
If 7 divides \(32^{3211}\), the remainder is (A) 2 (B) 4 (C) 8 (D) none of these
View solution Problem 100
If the 4 th term in the expansion of \(\left(2+\frac{3}{8} x\right)^{10}\) has the maximum numerical value, then the range of values of \(x\) is (A) \(-2 \leq x
View solution