Sigma Percentile
JEE Main 2021 (February) (26 Feb Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: The maximum slope of the curve occurs at the point:

Select Answer:

Visualized Solution

Understanding the Goal

  • Given curve:
  • Objective: Find the point where the slope is maximum.

Finding the Slope Function

  • The slope of a curve is given by its first derivative.
  • Let the slope function be .

Differentiating the Curve

The Slope Equation

Maximizing the Slope

  • To maximize , we must find its critical points.
  • Set the derivative of the slope to zero: .

Finding

Solving

  • Divide by :

The Second Derivative Test

  • To determine which point is a maximum, use the second derivative of slope: .
  • If , it is a local maximum.
  • If , it is a local minimum.

Calculating

Identifying the Maximum

  • At : (Maximum)
  • At : (Minimum)

Finding the y-coordinate

  • Substitute into the original curve :

Final Conclusion

  • The maximum slope occurs at the point .
  • Key Takeaway: To find the extremum of a slope, differentiate the slope function and apply the second derivative test.

The Sigma Insight: Maxima and Minima

Solution Diagram

The Quest for the Steepest Ascent

Imagine you are a mountaineer trekking along a path defined by the function . As you walk, the steepness of the ground beneath your feet changes constantly.
In this problem, we are looking for the point where the climb is the most intense—the point of maximum slope.

Defining the Slope Function

To find this, we must translate the physical concept of 'steepness' into the language of mathematics. The slope of our path at any point is given by the first derivative of our position function.
Let us define a new function, , which represents this slope:
Applying the power rule, we find:
This function is our 'steepness map.' It tells us exactly how steep the path is at any coordinate . Our mission is to find the value of that makes as large as possible.

The Calculus of Extremes

To find the maximum of any function, we look for the 'turning points'—the moments where the function stops increasing and starts decreasing. This occurs when the rate of change of the slope is zero.
We find the derivative of our slope function, , and set it to zero:
Setting gives us a quadratic equation:
Factoring this, we get . Our critical points are and .

The Second Derivative Test

The Final Verdict
We have two candidates, but only one can be the steepest point. To distinguish them, we use the second derivative of the slope, , which describes the concavity of our slope function:
Now, let us test our candidates:
At : . Since this is negative, the slope function is concave down, confirming that is a local maximum.
At : . Since this is positive, the slope function is concave up, meaning is a local minimum.

Reaching the Summit

We have identified our -coordinate as . To find the final point on the curve, we plug this back into our original position function :
The point is where the slope of our curve reaches its maximum value. You have successfully navigated the terrain of calculus, turning a complex curve into a clear, solvable path.

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