Sigma Percentile
JEE Advanced 2006
LEVELJEE Advanced

Animated Solution for Mathematics - Differentiation: Comprehension Passage

Let the definite integral be defined by the formula . For more accurate result for , we can use so that for , we get .
Question 1:

Select Answer:

Question 2:

If , then is of maximum degree

Select Answer:

Question 3:

If and is a point such that , and is the point lying on the curve for which is maximum, then is equal to

Select Answer:

Visualized Solution

Visualizing the Concave Curve and Trapezoids

  • We are given a function that is concave downwards, meaning its second derivative on the interval .
  • An intermediate point lies strictly between and , dividing the interval into two sub-intervals: and .
  • We approximate the area under the curve using two trapezoids constructed on these sub-intervals.

Formulating the Total Area Function

  • The area of the first trapezoid on is .
  • The area of the second trapezoid on is .
  • The total approximated area is the sum: .

Differentiating with Respect to

  • To find the value of that maximizes , we must differentiate with respect to .
  • We apply the product rule to both terms of :

Applying the Product Rule to Each Term

  • Differentiating the first term:
  • Differentiating the second term:
  • Combining them:

Grouping and Simplifying Terms

  • Group terms without :
  • Group terms with :
  • The simplified derivative is:

Applying the First Derivative Test for Maxima

  • For to be maximum, we set the first derivative to zero: .
  • This gives:
  • Rearranging the terms:

Solving for and the Mean Value Theorem

  • Dividing both sides by :
  • This is exactly the slope of the chord (secant line) joining and .
  • By Lagrange's Mean Value Theorem, such a point always exists in .

The Sigma Insight: Maxima and Minima

Solution Diagram

The Geometry of Approximation

Welcome, future engineers. Today, we are not just solving an integral; we are sculpting a solution. Imagine standing on a curve, a concave-down arc, and you are tasked with finding the 'sweet spot'—the point that maximizes the area of two trapezoids beneath it.
This is the essence of optimization. We start with the area function:
This function is our canvas. It represents the sum of two trapezoids: one on the interval and the other on . The first trapezoid has a width of and heights and , while the second has a width of and heights and .

The Calculus of Optimization

Now, we must find the maximum. To do this, we need to differentiate with respect to . This is where many students stumble, but let us take a breath.
We apply the product rule to both terms. For the first term, , the derivative is:
For the second term, , the derivative is:
Notice the negative sign in the second term? That comes from the derivative of with respect to , which is . This is a classic trap, but you are prepared for it.

The Elegant Cancellation

Now, watch the magic happen. When we combine these derivatives, we get:
Look closely at the terms without : . The terms cancel out completely, leaving us with .
Now, look at the terms with : . Factoring out , we get .
So, the derivative simplifies to:
This is the moment of clarity.

The Grand Conclusion

To maximize the area, we set . This gives us:
Rearranging, we find:
Multiplying by and dividing by , we arrive at:
This is not just an algebraic result; it is a profound geometric truth. It tells us that the area is maximized when the tangent at is parallel to the secant line connecting the endpoints.
This is the Lagrange Mean Value Theorem in action! You have successfully navigated the calculus, avoided the traps, and arrived at a beautiful, fundamental result. Keep this intuition with you; it will serve you well in every challenge you face.

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