Sigma Percentile
JEE Main 2019 (10 January)
LEVELJEE Main

Animated Solution for Mathematics - Differentiation: A helicopter is flying along the curve given by . A soldier positioned at the point wants to shoot down the helicopter when it is nearest to him. Then this nearest distance is :

Select Answer:

Visualized Solution

Visualize the Problem

  • Path of helicopter: for
  • Position of soldier:

Define a General Point

  • Let a general point on the curve be
  • Since it lies on the curve,
  • Coordinates of :

Set up the Distance Formula

  • Distance
  • Substitute :

Simplify the Distance Expression

Minimize the Square of Distance

  • Let
  • Expand the terms:

Differentiate to find Critical Points

  • Differentiate with respect to :

Set Derivative to Zero

  • For minimum distance, set

Solve the Quadratic Equation

Select the Valid Root

  • or
  • Given , we reject
  • The minimum occurs at

Calculate the Minimum Distance Squared

  • Substitute into :

Evaluate the Minimum Distance Squared

Final Calculation

  • LCM of and is

The Way Forward

  • Correct Option: (3)

The Sigma Insight: Maxima and Minima

Solution Diagram

Analyzing the Setup

Imagine you are standing on a vast, open field. Above you, a helicopter is tracing a precise, mathematical trajectory through the sky. Its path is governed by the equation , where .
You are a soldier stationed at a fixed coordinate . Your mission is to calculate the exact moment the helicopter is closest to you to ensure your shot is accurate. This is a problem of optimization, a dance between algebra and geometry.

Defining the Target

To solve this, we define a point on the curve. Since must satisfy the equation of the path, its coordinates are linked. If we choose an arbitrary -coordinate, the -coordinate is forced by the equation .
Thus, our point is defined as . We invoke the distance formula to find the distance between the soldier at and the helicopter at :
The constant in the -coordinates cancels out perfectly. We are left with:
Simplifying the second term, becomes . Our distance function is .

The Optimization Strategy

Differentiating directly involves the chain rule and a messy square root. Instead, we recognize that the value of that minimizes will also minimize . We define a new function, , representing the squared distance:
Expanding this polynomial, we get:
Rearranging it into standard form, we have:

Finding the Critical Moment

To find the minimum, we differentiate with respect to :
For the distance to be at its minimum, we set the derivative to zero:
We factor the quadratic by splitting the middle term:
This yields two critical points: and .

The Final Decision

The problem explicitly states that . The value is physically impossible for the helicopter's path, so we discard it. The helicopter is closest when .
Now, we substitute back into our squared distance function :
Finding the least common multiple of and , which is , we get:
Finally, we take the square root to find the actual distance :

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