Sigma Percentile
JEE Advanced 2010
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: Let be a function defined on such that for all . If is a function defined on with values in such that , then the number of points in at which has a local maximum is

Enter Numerical Value:

Visualized Solution

Relationship between and

  • Given:
  • Expressing explicitly:
  • Since for all , is always positive.

Differentiating

  • To find local extrema, we need .
  • Using Chain Rule:

Sign Analysis of

  • We know
  • Since , it does not affect the sign.
  • Therefore, the sign of is identical to the sign of .

Critical Points on Number Line

  • Given:
  • Roots of are .

Wavy Curve:

  • For , all factors in are positive.
  • Overall sign: Positive ().

Crossing (Even Power)

  • Factor has an even power ().
  • Rule: No sign change. Curve bounces off the axis.
  • Sign remains Positive ().

Crossing (Odd Power)

  • Factor has an odd power ().
  • Rule: Sign changes. Curve crosses the axis.
  • Sign becomes Negative ().

Crossing (Even Power)

  • Factor has an even power ().
  • Rule: No sign change. Curve bounces off the axis.
  • Sign remains Negative ().

Crossing (Odd Power)

  • Factor has an odd power ().
  • Rule: Sign changes. Curve crosses the axis.
  • Sign becomes Positive ().

Condition for Local Maximum

  • A local maximum occurs when the derivative changes from Positive () to Negative ().
  • This means the function goes from increasing to decreasing.

Conclusion

  • At : Sign changes from to Local Maximum
  • At : Sign changes from to Local Minimum
  • Total number of local maximum points = .

The Sigma Insight: Maxima and Minima

Solution Diagram

The Hidden Elegance of Functions

My dear student, I know that when you first look at a problem like this, with its large numbers like and , it feels like a mountain of arithmetic. But take a deep breath.
In the world of JEE Advanced, these numbers are often just labels, designed to test your conceptual clarity, not your ability to perform massive calculations. Let us peel back the layers of this problem together.

Unmasking the Function

We are given . Our goal is to find the local maxima of .
By exponentiating both sides, we get . Now, here is the first piece of wisdom: the exponential function is a beacon of positivity.
It is always greater than zero, no matter what is. This means is always positive, which is a relief!

The Derivative Dance

To find local extrema, we must look at the derivative, . Using the chain rule, we find:
This is the moment of truth. Since is always positive, it cannot change the sign of .
The sign of our derivative is entirely dictated by . We have effectively reduced a complex-looking problem into a simple sign analysis of the polynomial:

The Wavy Curve Method

A Map of the Terrain
Now, let us plot our critical points on the number line: and . We start from the far right, where .
If you pick a number like , every single factor in is positive. So, the curve starts above the axis.
As we move left, we encounter . The factor has an even power, so the sign does not change—the curve bounces off the axis and stays positive.
Next, we hit . The factor has an odd power, so the sign flips from positive to negative.
Then, at , the factor has an even power, so the sign stays negative. Finally, at , the factor has an odd power, and the sign flips back to positive.

The Final Verdict

A local maximum occurs when the derivative changes from positive to negative. Looking at our sign scheme, at , the sign changes from positive to negative.
That is our local maximum! At , the sign changes from negative to positive, which is a local minimum.
The other points are not extrema. Thus, we have found exactly one point of local maximum. You see? With the right perspective, even the most intimidating problems reveal their simple, elegant core.

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