Sigma Percentile
JEE Advanced 2012
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: If for all , then

Select Answer:

* Multiple Correct

Visualized Solution

Understanding the Function

  • Given function:
  • Domain:
  • Objective: Analyze local extrema and monotonicity of .

The Newton-Leibniz Rule

  • To find , we use the Newton-Leibniz Rule.

Applying Leibniz Rule to

  • Substitute and .

Simplifying

  • Rearranging terms:
  • For , the terms and are always strictly positive.
  • The sign of depends entirely on .

Finding Critical Points

  • Set to find critical points.
  • Since , we solve:
  • And

Sign Analysis:

  • Interval:
  • Here, , so and .
  • Product: .
  • is increasing on .

Sign Analysis:

  • Interval:
  • Here, .
  • So, and .
  • Product: .
  • is decreasing on .

Sign Analysis:

  • Interval:
  • Here, .
  • So, and .
  • Product: .
  • is increasing on .

Local Maxima at

  • At , changes sign from positive to negative.
  • By the First Derivative Test, has a local maximum at .

Local Minima at

  • At , changes sign from negative to positive.
  • By the First Derivative Test, has a local minimum at .

Existence of

  • We know and .
  • is continuous and differentiable for .
  • By Rolle's Theorem on :
  • There exists at least one such that .

Final Conclusion

  • Summary of Results:
  • 1. Local maximum at (Correct)
  • 2. Decreasing on (Correct)
  • 3. for some (Correct)
  • 4. Local minimum at (Correct)
  • All four options are correct.

The Sigma Insight: Maxima and Minima

Solution Diagram

The Calculus Landscape

Unveiling the Hidden Geometry
Welcome, fellow traveler of the mathematical realm! Today, we are not just solving a problem; we are exploring the topography of a function.
We are given . At first glance, this integral might look like a mountain too steep to climb.
In JEE Advanced, we don't always need to conquer the mountain; sometimes, we just need to understand its peaks and valleys.

Phase 1

The Power of the Leibniz Rule
We want to know where this function increases, where it decreases, and where it hits its local maximums and minimums. To do this, we need the derivative, .
We invoke the Newton-Leibniz Rule. This rule is our secret weapon, stating that if we have a function defined by an integral with a variable upper limit , the derivative is the integrand evaluated at , multiplied by the derivative of .
Applying this to our function, where the upper limit is , we get:
Simplifying this, we arrive at our derivative:

Phase 2

The Sign Analysis
Now, look at this expression. It is a product of three parts: , , and the polynomial .
Since we are restricted to , both and are always positive. They are like the wind at our back—they don't change the direction of our journey.
The real action happens in the polynomial part. We find critical points where , which occurs when or . Since , our critical points are and .
Let's map the behavior:
1. In the interval : Here, . Both and are negative. A negative times a negative is a positive, so , and our function is climbing.
2. In the interval : Here, . Now, is positive, but is negative. A positive times a negative is a negative, so our function is descending.
3. In the interval : Here, . Both brackets are positive. The function is climbing again.

Phase 3

The Final Synthesis
By the First Derivative Test, we have a local maximum at because the function switches from increasing to decreasing.
We have a local minimum at because it switches from decreasing to increasing.
Because is continuous and differentiable, Rolle's Theorem guarantees that between our two critical points, there must be a point where the slope of the derivative is zero, meaning .
The beauty of this problem lies not in the complexity of the integration, but in the elegance of the derivative's behavior. Keep this perspective, and you will find that even the most daunting calculus problems are just landscapes waiting to be mapped.

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