Sigma Percentile
JEE Advanced 1996
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: Determine the points of maxima and minima of the function , where is a constant.

Visualized Solution

Understanding the Function

  • Given function:
  • Domain:
  • Parameter: is a constant.

Condition for Maxima and Minima

  • To find critical points, we must find where the slope is zero.
  • Condition:

Finding the First Derivative

Simplifying

  • Take a common denominator of :
  • Rearranging:

Finding Critical Points

  • Set :
  • Since , the numerator must be zero:

Solving for

  • Using the quadratic formula:

Simplifying the Roots

  • Factor out from the square root:
  • Divide numerator and denominator by :

Condition for Extrema to Exist

  • For real critical points, the discriminant must be non-negative:
  • (since )
  • Let and

Classifying the Critical Points

  • The sign of depends on the numerator , which is an upward-opening parabola.
  • At (smaller root), changes from to Local Maxima.
  • At (larger root), changes from to Local Minima.

Final Answer

  • Local Maxima at
  • Local Minima at
  • Valid for .

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Landscape

Imagine you are standing on a landscape defined by the function . This is a story of competing forces.
The logarithmic term plunges toward negative infinity as approaches zero, while the quadratic term rockets toward positive infinity as grows large. The linear term acts as the mediator, shifting the balance of power.
Our mission is to find the peaks and valleys—the local maxima and minima—where the landscape levels off.

The First Derivative

The Compass of Change
To find where the landscape levels off, we must identify points where the slope is zero. We differentiate term by term:
The derivative of is , the derivative of is , and the derivative of is . Thus, our compass for the slope is:

The Quadratic Challenge

Setting gives us the equation . Combining these terms over a common denominator of , we obtain:
For this fraction to be zero, the numerator must be zero. This leads us to the quadratic equation:
Using the quadratic formula , we find:
Simplifying this expression, we arrive at the critical points:

The Gatekeeper

The Discriminant
The term inside the square root, , acts as the gatekeeper of our existence. If , there are no real solutions, and the function possesses no extrema.
For the function to exhibit both a maximum and a minimum, we must satisfy the condition . This ensures the linear term is sufficiently strong to counteract the growth of the other terms.

The Final Classification

Maxima or Minima?
We have identified two critical points:
The numerator of our derivative, , represents an upward-opening parabola. It is positive outside the roots and negative between them.
Therefore, at (the smaller root), the derivative changes from positive to negative, indicating a local maximum. At (the larger root), the derivative changes from negative to positive, indicating a local minimum.

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