Sigma Percentile
JEE Main 2021 (20 July Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: The sum of all the local minimum values of the twice differentiable function defined by is :

Select Answer:

Visualized Solution

Analyzing the Function

  • Given function:
  • Goal: Find the sum of all local minimum values.
  • Notice that and are just constant numbers.

Finding the Derivatives

  • To find and , we must differentiate .
  • First derivative:

Calculating

  • Note: is a constant, so its derivative is .

Calculating

  • Differentiate to get .

Solving for and

  • Using :
  • Substitute :
  • Substitute :

The Concrete Function

  • Substitute and back into .

Simplified

  • Simplify the coefficient:
  • Final Function:

Finding Critical Points

  • To find local minima, we first need the critical points.
  • Set the first derivative to zero:

Solving

  • Divide the equation by :
  • Factorize:
  • Critical points: and

Second Derivative Test

  • Use to classify the critical points.
  • If , it's a local minimum.
  • If , it's a local maximum.

Classifying

  • At :
  • Since , is a Local Maximum.

Classifying

  • At :
  • Since , is a Local Minimum.

Calculating Local Minimum Value

  • The question asks for the value of the local minimum.
  • Substitute into :

Evaluating

Final Answer

  • The only local minimum value is .
  • Sum of all local minimum values .
  • Correct Option: -27

The Sigma Insight: Maxima and Minima

Solution Diagram

The Mystery of the Self-Referential Function

Imagine you are standing before a locked door. The lock is complex, filled with gears and levers that seem to move on their own. This is exactly how the function
feels at first glance. It is a self-referential puzzle.
It defines itself using its own second derivative. But here is the secret that separates the novice from the master: do not be intimidated by the notation.
In the world of calculus, and are not variables; they are simply numbers waiting to be discovered. They are the constants that hold the structure of our polynomial together.

Phase 1

The Detective Work
To solve this, we must act like detectives. We need to find the values of and .
How do we do that? We differentiate. Let us take our function and find its first derivative, .
Differentiating gives us , and becomes . The term involving simply leaves us with its coefficient, .
And the term ? It is a constant, so its derivative is zero. We are left with:
Now, we need the second derivative, . Differentiating again, the becomes , the becomes , and our constant term vanishes entirely.
Suddenly, the fog clears. We find that:
This is the key that unlocks the entire problem!

Phase 2

The Reveal
With in our hands, the mystery constants are no longer mysterious. We simply plug in the values.
For , we calculate , which gives us . For , we calculate , which gives us .
Just like that, the skeleton of our function is revealed. Substituting these back into our original equation, we get:
Simplifying this, we arrive at the beautiful, concrete polynomial:

Phase 3

The Calculus of Peaks and Valleys
Now that we have the function, we are on familiar ground. To find the local minimum, we need to find the critical points where the slope is zero.
We set . Dividing by , we get .
Factoring this quadratic, we find . Our critical points are and .
Which one is the minimum? We use the Second Derivative Test.
We know . At , , which is negative, indicating a local maximum (a peak).
At , , which is positive, indicating a local minimum (a valley). We have found our target!

Phase 4

The Final Calculation
Finally, we must answer the question asked. We need the local minimum value.
We plug back into our function:
This simplifies to , which equals .
The journey is complete. We started with a confusing, self-referential expression and ended with a clear, definitive value of . This is the power of calculus—taking the unknown and, through systematic logic, making it known.

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