Sigma Percentile
JEE Advanced 2005
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: If be a polynomial of degree 3 satisfying and has maxima at and has minima at . Find the distance between the local maxima and local minima of the curve.

Visualized Solution

Defining the Cubic Polynomial

  • Let be a cubic polynomial: .
  • Given conditions:
  • 1.
  • 2.
  • 3. Local maxima at
  • 4. has a minima at

Analyzing the Second Derivative

  • Since has a minima at , its derivative must vanish at this point.
  • Therefore, .
  • This point represents the inflection point of the cubic curve.

Formulating

  • Since is a cubic polynomial (degree 3), its second derivative must be a linear polynomial (degree 1).
  • Using the root , we can write:
  • for some non-zero constant .

Integrating to Find

  • Integrate with respect to :
  • Here, is the constant of integration.

Applying the Maxima Condition

  • Since has a local maxima at , the slope at this point must be zero:
  • Substitute into the derivative equation:

Finding the Minima Location

  • Substitute back into :
  • Factoring the expression:
  • The critical points are (maxima) and (minima).

Integrating to Find

  • Integrate to obtain the polynomial :
  • Here, is another integration constant.

Using Given Values to Find Constants

  • Use :
  • (Eq. 1)
  • Use :
  • (Eq. 2)

Solving for and

  • Subtract Eq. 2 from Eq. 1:
  • Substitute into Eq. 1:
  • The polynomial is:

Coordinates of Maxima and Minima

  • Local Maxima point :
  • Local Minima point occurs at :
  • So, the minima point is .

Calculating the Distance

  • Use the distance formula between and :
  • Key Takeaway: The distance between the local extrema is units.

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Setup

The cubic polynomial defines a terrain whose peaks and valleys are governed by the principles of calculus. To determine the distance between these points, we must first reconstruct the polynomial using the provided constraints.

The Inflection Point

Our journey begins with the clue that the first derivative has a minimum at . In calculus, the minimum of a function occurs where its derivative is zero; thus, the second derivative must satisfy:
Since is a cubic polynomial, is a linear function. Given the root at , we can express the second derivative as:
where is a non-zero constant. This point represents the inflection point where the curve's concavity shifts.

The Slope Landscape

We climb back up the ladder of derivatives by integrating with respect to :
We know the curve has a local maximum at , implying . Substituting this into our slope equation:
Substituting back into the expression for , we obtain:
Factoring this quadratic reveals the critical points:
The critical points are located at (the maximum) and (the minimum).

Reconstructing the Polynomial

Integrating the slope function allows us to find the original polynomial :
Using the conditions and , we solve the resulting system of linear equations to find and . The resulting polynomial is:

Final Calculation

The local maximum point is at . To find the local minimum point , we evaluate the polynomial at :
Thus, point is at . We now apply the distance formula to find the separation between and :
Simplifying the radical, we arrive at the final distance:

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