Sigma Percentile
JEE Advanced 1999
LEVELJEE Advanced

Animated Solution for Mathematics - Differentiation: The function has a local minimum at

Select Answer:

* Multiple Correct

Visualized Solution

Analyzing the Integral Function

  • Goal: Find points of local minimum.
  • Local extrema occur where and changes sign.

Newton-Leibniz Rule

  • To differentiate an integral with variable limits, use the Leibniz Rule.
  • Since is constant, its derivative is .

Finding

  • Differentiating with respect to :

Identifying Critical Points

  • Set to find critical points.

Analyzing the Trap:

  • Let's analyze the term .
  • If , .
  • If , .
  • Thus, for all .

Wavy Curve Method

  • The sign of depends only on .
  • Start from rightmost interval : all terms are positive.
  • At (odd power 5): sign changes.
  • At (odd power 3): sign changes.
  • At (odd power 1): sign changes.
  • At : No sign change because .

Marking the Signs

  • : Positive
  • : Negative
  • : Positive
  • : Negative
  • : Negative

Finding Local Minima

  • Local Minimum: changes from Negative to Positive.
  • At : Sign changes from to Local Minimum.
  • At : Sign changes from to Local Maximum.
  • At : Sign changes from to Local Minimum.
  • Final Answer: Local minima at and .

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Setup

Imagine you are standing before a massive, intimidating wall of symbols. You see an integral, a product of polynomials, and an exponential function all tangled together:
Your instinct might be to panic, to reach for a pen and try to integrate this expression. But stop. Take a deep breath. In the world of JEE Advanced, the most complex-looking problems often hide the most elegant, simple solutions. We don't need to solve the integral; we only need to understand its behavior.

The Leibniz Key

To find the local minima of , we need to know where the function stops decreasing and starts increasing. This is the domain of the derivative, . How do we differentiate an integral with a variable upper limit?
We use the Leibniz Rule. It tells us that the derivative of the integral is simply the integrand itself, evaluated at the upper limit. It is as if the integral sign and the derivative operator cancel each other out, leaving us with the core of the problem:
Suddenly, the "monster" has been tamed. We are no longer looking at an integral; we are looking at a polynomial-like function whose roots are easy to identify: .

The Hidden Trap

The Sign of
Now, we must determine where changes sign. This is where most students stumble. Look closely at the term .
If you test a positive value, say , you get . If you test a negative value, say , you get . Since , the term is negative.
A negative times a negative is a positive! This means is always non-negative. It never crosses the x-axis to become negative; it just touches it at and bounces back. Therefore, is not a point where the sign of changes. It is a point of inflection, not a local extremum.

The Wavy Curve Dance

With that trap neutralized, we focus on the remaining factors: . We use the Wavy Curve Method, starting from the rightmost interval (). Here, all factors are positive, so .
As we move left and cross each root, we check the power of the factor. Since the powers of , , and are all odd (1, 3, and 5 respectively), the sign of will flip at each of these points:
For , . At , we cross into the interval , and the sign flips to . At , we cross into , and the sign flips to . At , we cross into , and the sign flips to .

The Moment of Truth

A local minimum occurs when the slope changes from negative to positive—the function goes down, hits a bottom, and starts climbing back up. Looking at our sign analysis:
1. At , the sign changes from negative to positive. This is a local minimum. 2. At , the sign changes from positive to negative. This is a local maximum. 3. At , the sign changes from negative to positive. This is another local minimum.
And there you have it. By refusing to be intimidated by the integral and carefully analyzing the sign changes of the derivative, we have navigated the trap and arrived at the solution: and . Physics and math are not about brute force; they are about seeing the structure beneath the surface.

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