Sigma Percentile
JEE Main 2025 (January)
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: Let dt, Then the numbers of local maximum and local minimum points of f, respectively, are:

Select Answer:

Visualized Solution

Understanding the Function

  • Given function:
  • To find local maxima and minima, we need to find the critical points where .
  • We will use the Leibniz Rule for differentiation under the integral sign.

Applying the Leibniz Rule

  • By Leibniz Rule:
  • Here, the upper limit is and the lower limit is .

Substituting the Values

Simplifying

  • Factorizing the numerator:
  • Let , then
  • So,

The Final Derivative Expression

  • Full expression:
  • The denominator is always strictly positive.

Finding the Critical Points

  • Set to find critical points.
  • Critical points:

Plotting on the Number Line

  • Plot critical points in increasing order.
  • Points:
  • These divide the real line into intervals.

The Wavy Curve Method

  • Determine the sign of in each interval.
  • For , .
  • Since all roots have odd multiplicity, signs alternate:

Identifying Local Minima

  • Local minima occur where changes from negative to positive.
  • Points of local minima:
  • Total number of local minima =

Identifying Local Maxima

  • Local maxima occur where changes from positive to negative.
  • Points of local maxima:
  • Total number of local maxima =

Final Conclusion

  • Number of local maxima =
  • Number of local minima =
  • Correct Option: 2 and 3

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Setup

Imagine you are standing before a complex function, . At first glance, it looks like a nightmare.
You might be tempted to reach for your integration toolkit, trying to find the antiderivative of . But stop!
In the world of JEE Advanced, the most powerful tool is often the one that lets you avoid the grunt work. We don't need to integrate; we need to understand how the function changes.

The Secret Weapon

The Leibniz Rule
When you see a function defined as an integral with a variable in the limit, your mind should immediately jump to the Leibniz Rule. This rule is the bridge between the integral and the derivative.
It tells us that to find , we don't need to solve the integral; we just need to evaluate the integrand at the limits and multiply by the derivative of those limits. Specifically:
In our case, and . Substituting these into the formula, we get:
Suddenly, the complexity vanishes, and we are left with a clear, manageable expression:

Factorization and the Critical Points

Now, let's look at the numerator. It is a polynomial in .
If we let , we have , which factors beautifully into . Translating this back to , our derivative becomes:
To find the local maxima and minima, we set . Since is always positive, it doesn't affect the sign or the roots.
We only care about . This gives us five critical points: , , , , and .

The Wavy Curve

Visualizing the Peaks and Valleys
Now, we plot these points on the number line: . These points divide the real line into six intervals.
Using the Wavy Curve method, we check the sign of in each interval. For , all factors are positive, so .
As we cross each root (all of which have odd multiplicity), the sign alternates: .
A local minimum occurs where the slope changes from negative to positive (a valley), and a local maximum occurs where it changes from positive to negative (a peak).
Looking at our signs, we find local minima at (total of 3) and local maxima at (total of 2).
We have successfully navigated the function's landscape without ever performing a single integration! The answer is 2 and 3.

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