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JEE Main 2019 (11 January)
LEVELJEE Main

Animated Solution for Mathematics - Binomial Theorem: The value of for which is maximum, is

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Visualized Solution

The Given Series

  • Let the given sum be .

Pattern in Indices

  • Observe the lower indices in each term.
  • The sum of the lower indices in every product term is constant, equal to .

The Binomial Tool

  • Recall the standard binomial expansion:
  • We will use .

Multiplying Expansions

  • Consider the product of two identical expansions:

Coefficient of

  • How do we get when multiplying these two series?
  • Multiply from first bracket with from second.
  • Multiply with .

Forming the Sum

  • The total coefficient of in the product is:
  • This is exactly our given sum !

Combining the Powers

  • Using laws of exponents:
  • So, is the coefficient of in .

The Value of

  • The general term in is .
  • Therefore, the coefficient of is .

Condition for Maximum

  • We need to find such that is maximum.
  • Property of binomial coefficients: is maximum at the middle term.
  • If is even, maximum is at .

Finding the Peak

  • Here, (which is even).

The Final Answer

  • At , the sum reaches its maximum value of .
  • The required value of is .

The Sigma Insight: Properties of Binomial Coefficients

Solution Diagram

The Illusion of Complexity

Welcome, future engineer. Take a deep breath. I know that when you first looked at this problem, your eyes probably darted across the page, trying to process that long, intimidating string of terms:
It looks like a monster, doesn't it? A summation that seems to demand brute force calculation.
But here is the secret of JEE Advanced: whenever you see a complex summation of products, you are rarely expected to calculate it term by term. You are being invited to see a pattern. You are being invited to see the 'soul' of the expression.

The Signature of a Convolution

Let us play detective. Look at the lower indices. In the first term, we have and . Their sum is .
In the second term, we have and . Their sum is . In the last term, we have and . Their sum is .
Do you see it? The sum of the lower indices is constant. This is the 'Aha!' moment.
In the world of combinatorics, this constant sum is the signature of a convolution. It is the mathematical equivalent of a fingerprint. It tells us that this sum is not just a random collection of numbers; it is the coefficient of a specific power of in the product of two polynomials.

The Binomial Bridge

We know the binomial expansion:
Our problem involves terms, so let us bring in the expansion of . Now, imagine we have two of these expansions. We multiply by itself.
When we multiply these two polynomials, how do we get the term containing ? We take the term from the first bracket and multiply it by the constant term from the second. Then we take the term from the first and multiply it by the term from the second.
We continue this until we take the constant term from the first and the term from the second. Does that look familiar? It is exactly the sum given in our problem!

The Elegance of Reduction

By the laws of exponents, we know that:
Suddenly, the monster has been tamed. The entire, terrifying summation is nothing more than the coefficient of in the expansion of .
And what is the coefficient of in ? It is simply . We have reduced a complex series to a single, elegant binomial coefficient. This is the power of mathematical thinking.

The Peak of the Mountain

Now, the final step is almost trivial. We need to maximize . Think of Pascal's Triangle.
The values of binomial coefficients start small, grow as they approach the middle, and then shrink back down. They form a beautiful, symmetric bell curve.
For any , the maximum value occurs at the middle. Since our is , which is an even number, the peak is exactly at the center. We calculate:
And there you have it. The value of that maximizes the sum is . You didn't just solve a problem; you navigated through the logic of combinatorics. Keep this perspective—always look for the underlying structure, and you will find that even the most intimidating problems are just puzzles waiting to be solved.

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