Sigma Percentile
JEE Main 2024 (08 Apr Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: If the function has a local maximum at and a local minimum at , then and are the roots of the equation :

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Visualized Solution

The Cubic Curve and its Extrema

  • Given function:
  • Constraint:
  • Local maximum occurs at
  • Local minimum occurs at

Condition for Local Extrema

  • To find local maxima and minima, we need the critical points.
  • Critical points occur where the first derivative is zero.
  • Set

Differentiating

  • Differentiating with respect to :

Factoring the Derivative

  • Splitting the middle term:

Identifying the Critical Points

  • Set to find critical points.
  • The critical points are and .
  • Since , we know that .

Second Derivative Test

  • Find the second derivative to check concavity.

Evaluating Extrema at

  • Substitute into :
  • Since , .
  • A negative second derivative means is a point of local maximum.

Evaluating Extrema at

  • Substitute into :
  • Since , .
  • A positive second derivative means is a point of local minimum.

Equating to Given Roots

  • The problem states the local maximum is at .
  • We found the local maximum is at .
  • Therefore, .
  • The problem states the local minimum is at .
  • We found the local minimum is at .
  • Therefore, .

Solving for

  • We have the system: and .
  • Substitute into the second equation:
  • Since , we reject . Thus, .

Calculating the Roots

  • Now that we know , we can find the roots.
  • First root:
  • Second root:
  • The roots of our required quadratic equation are and .

Forming the Final Quadratic Equation

  • A quadratic equation with roots and is .
  • Substitute the roots and :
  • Expanding the brackets:
  • Final Equation:

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Setup

Imagine you are walking along the path of a roller coaster defined by the function . As you traverse this path, you encounter a peak—a local maximum—and a valley—a local minimum.
In the language of calculus, these points are the moments where the slope of your path is perfectly horizontal. This is the fundamental insight that unlocks the entire problem.

The Calculus Engine

To find these stationary points, we must invoke the power of the derivative. By setting , we identify the locations where the function is "flat."
Let us differentiate term by term:
This yields the quadratic derivative:
To simplify, we factor out the common :
By splitting the middle term, we find the roots of this derivative are and . These are our critical points.

The Concavity Test

We must use the Second Derivative Test to determine the nature of these points. Let us differentiate again:
Now, we test our critical points. For , we get . Since the problem guarantees , this value is negative, confirming that is our local maximum.
Conversely, for , we get . This is positive, confirming that is our local minimum.

The Synthesis

The problem states the local maximum is at and the local minimum is at . Matching our findings, we establish the system:
Substituting the first into the second, we get , which simplifies to . Since , we discard and find .
Consequently, our roots are and .

Final Calculation

Finally, we construct the quadratic equation using these roots. A quadratic with roots and is given by . Substituting and :
Expanding this, we arrive at the elegant solution:

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