Problem 11
Question
If \(\frac{1}{\sqrt{4 x+1}}\left\\{\left(\frac{1+\sqrt{4 x+1}}{2}\right)^{n}-\left(\frac{1-\sqrt{4 x+1}}{2}\right)^{n}\right\\}\) \(=a_{0}+a_{1} x+\ldots+a_{5} x^{5}\), then \(n\) equals (A) 11 (B) 9 (C) 10 (D) none of these
Step-by-Step Solution
Verified Answer
The value of \( n \) is 10 (Option C).
1Step 1: Identify the Expression
The expression given is \( \frac{1}{\sqrt{4x+1}}\left\{\left(\frac{1+\sqrt{4x+1}}{2}\right)^{n} - \left(\frac{1-\sqrt{4x+1}}{2}\right)^{n}\right\} \). This looks similar to a hyperbolic sine function expression, \( \sinh(n \theta) \), where \( \theta = \text{arcsinh}(x) \) or some related identity.
2Step 2: Information from Hyperbolic Functions
The identity for hyperbolic sine in terms of exponential form is \( \sinh(z) = \frac{e^z - e^{-z}}{2} \). The expression resembles this structure but modified for a particular value of \( \theta \). Consider it as a binomial sum of form differing by alternating signs.
3Step 3: Convert to Binomial Expression
We can relate this to binomial expressions by analyzing \( \left(\frac{1+u}{2}\right)^n - \left(\frac{1-u}{2}\right)^n \), where \( u = \sqrt{4x+1} \). This resembles part of the binomial theorem, summing up alternating terms.
4Step 4: Calculate Powers of Binomial Expression
Compute \( \left(\frac{1+u}{2}\right)^n - \left(\frac{1-u}{2}\right)^n \) as a binomial sum to identify where these terms resemble coefficients \( a_i \) in the polynomial expression in terms of \( x \).
5Step 5: Determine the Required Degree
For the expression to match a polynomial of degree 5, the binomial theorem tells us that the highest terms come from terms where the powers of \( u^2 \) go up to 5. Compute backwards using the binomial expansion that matches coefficients.
6Step 6: Substitute Back and Match Degrees
Using \( u = \sqrt{4x+1} \), devise that the terms in these expanded sums are equivalent to matching coefficients \( a_i \). This only matches perfectly for \( n = 10 \), where expression smoothly expands to polynomial degree matching given terms.
Key Concepts
Binomial TheoremHyperbolic FunctionsPolynomial Expansion
Binomial Theorem
The Binomial Theorem is a powerful tool in algebra that allows us to expand expressions of the form \((a + b)^n\), where \(n\) is a non-negative integer. Essentially, it breaks these expressions into a sum involving terms that are products of powers of \(a\) and \(b\), scaled by binomial coefficients.Some key points about the Binomial Theorem are:
- The expansion is given by \((a + b)^n = \sum_{k=0}^{n} \binom{n}{k}a^{n-k}b^k\).
- \(\binom{n}{k}\) denotes the binomial coefficient, calculated as \(\frac{n!}{k!(n-k)!}\), where \(!\) represents the factorial of a number.
- The theorem is particularly useful for breaking down complex polynomial expressions into more manageable parts.
Hyperbolic Functions
Hyperbolic functions, much like trigonometric functions, are fundamental in applied mathematics, with applications ranging from engineering to physics. The primary hyperbolic functions are the hyperbolic sine, \(\sinh(x)\), and hyperbolic cosine, \(\cosh(x)\).These functions are defined as:
- \(\sinh(x) = \frac{e^x - e^{-x}}{2}\)
- \(\cosh(x) = \frac{e^x + e^{-x}}{2}\)
Polynomial Expansion
Polynomial expansion is the process of expressing a polynomial in an extended form as a sum of terms. Each term of the polynomial is generally in the form of a monomial, which is a product of constant coefficients and variables raised to integral powers.In our exercise, polynomial expansion involves writing out every term after applying a binomial-like expansion to simplify the given expression. This involves:
- Recognizing patterns that relate to known expansions, like the binomial theorem.
- Carefully expanding expressions to reveal all coefficients of \(a_i\).
- Matching these expansions to the desired degree, which is crucial for determining the parameters like \(n\).
Other exercises in this chapter
Problem 8
The interval in which \(x\) must lie so that the numerically greatest term in the expansion of \((1-x)^{21}\) has the greatest coefficient is, \((x>0)\). (A) \(
View solution Problem 9
If \(C_{r}\) stands for \({ }^{n} C_{r}\), then the sum of the series \(\frac{2\left(\frac{n}{2}\right) !\left(\frac{n}{2}\right) !}{n !}\left[C_{0}^{2}-2 C_{1}
View solution Problem 12
The sum \(\sum_{i=0}^{m}\left(\begin{array}{c}10 \\\ i\end{array}\right)\left(\begin{array}{c}20 \\ m-i\end{array}\right)\), (where \(\left(\begin{array}{l}p \\
View solution Problem 13
The number of distinct terms in the expansion of \(\left(x^{3}+1+\frac{1}{x^{3}}\right)^{n} ; x \in R^{+}\)and \(n \in N\) is (A) \(2 n\) (B) \(3 n\) (C) \(2 n+
View solution