Sigma Percentile
JEE Main 2024 (08 Apr Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: Let . The number of points of local maxima of in interval is

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Visualized Solution

Analyze the Function

  • Given function:
  • Interval of interest:
  • Goal: Find the number of points where attains a local maximum.

Differentiate using Chain Rule

  • Apply the power rule and chain rule to each term:
  • Combine them:

Simplify the Derivative

  • Factor out common terms:
  • Use the identity :
  • Final simplified form:

Identify Critical Points

  • Set to find critical points.
  • This gives two equations to solve:
  • 1)
  • 2)

Solve

  • For in :
  • Dividing by 2, we get:

Solve

  • For in :
  • Cosine is negative in Quadrants II and III.

Map the Intervals

  • Ordered critical points:
  • We must check the sign of in each interval.
  • Rule: Sign change from to indicates a Local Maximum.

Sign Analysis: First Two Intervals

  • Interval : , (Negative)
  • Interval : , (Positive)
  • At : Sign changes from to Local Minimum.

Local Maxima at

  • Interval : , (Negative)
  • At : Sign changes from to Local Maximum.

Sign Analysis: Middle Intervals

  • Interval : , (Positive)
  • At : Sign changes from to Local Minimum.

Local Maxima at

  • Interval : , (Negative)
  • At : Sign changes from to Local Maximum.

Final Conclusion

  • Interval : , (Positive)
  • Local Maxima occur at: and
  • Total number of local maxima points = 2

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Setup

My dear student, welcome to the arena. Today, we are not just solving a calculus problem; we are embarking on a journey to map the topography of a trigonometric landscape.
We are given the function , and our mission is to find the number of local maxima within the open interval . This is a classic JEE Advanced challenge—it tests not just your ability to differentiate, but your patience, your precision, and your ability to visualize the behavior of functions.

The Engine of Change

To understand where a function reaches its peak, we must first understand its rate of change. We need the derivative, .
Let us apply the chain rule with care. For the first term, , the derivative is . For the second term, , the derivative is . The constant vanishes into the void, as all constants do when we seek change.
So, we have:
Now, do not rush to calculate values yet. Look at the expression. It is begging to be factored. Let us pull out the common terms: .
Inside the brackets, we are left with . And here is the elegance of trigonometry: we recognize that is the double angle identity for . Thus, our derivative simplifies beautifully to:
This compact form is our compass. It tells us exactly where the function stops moving—the critical points.

The Crossroads

To find the critical points, we set . This gives us two distinct paths to follow:
1. 2.
Let us solve these within our domain . For , we know that must be a multiple of . Thus, , which gives us .
For , we look to the second and third quadrants. The reference angle is . In the second quadrant, . In the third quadrant, .
We have five critical points: . These points divide our domain into six distinct intervals. This is where the detective work begins.

The Detective Work

We must now test the sign of in each interval. Remember, a local maximum occurs when the derivative changes from positive to negative.
In : and . With the multiplier, . The function is decreasing.
In : and . The product of two negatives (the and the ) makes . The function is increasing. Since we went from decreasing to increasing, is a local minimum.
In : and . We have three negative factors (, , and the cosine term). The result is . The function is decreasing. Since we went from increasing to decreasing at , we have found our first local maximum!
In : and . The derivative . The function is increasing. At , we went from decreasing to increasing—another local minimum.
In : and . The derivative . The function is decreasing. At , we went from increasing to decreasing—our second local maximum!
In : and . The derivative . The function is increasing. At , we went from decreasing to increasing—a local minimum.

Final Conclusion

After carefully traversing the intervals, we see that the function peaks exactly twice: at and .
The total number of points of local maxima is 2.

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