JEE PYQ: Motion in a Plane - Question ID 057f0bf33bec (JEE Main 2018)

ID: 057f0bf33becJEE Main 2018Single Correct MCQ
A man in a car at location Q on a straight highway is moving with speed υ\upsilon. He decides to reach a point P in a field at a distance d from the highway (point M) as shown in the figure. Speed of the car in the field is half to that on the highway. What should be the distance RM, so that the time taken to reach P is minimum ?

JEE Main 2018 (Online) 15th April Evening Slot Physics - Motion in a Plane Question 84 English
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Step-by-step Explanation

Core Formula & Concept:

The problem involves finding the optimal point \( R \) on the highway such that the total time taken by the car to travel from \( Q \) to \( P \) via \( R \) is minimized. This is a classic optimization problem in kinematics, where the car changes its speed when it leaves the highway and enters the field.

Key concepts and formulas used:

  • Time as a function of distance and speed: \( t = \frac{\text{distance}}{\text{speed}} \).
  • Pythagorean theorem: Used to express the distance traveled in the field from \( R \) to \( P \).
  • Calculus-based optimization: To minimize the total time \( T \), we express \( T \) as a function of \( x = RM \), then find the value of \( x \) that minimizes \( T \) by setting \( \frac{dT}{dx} = 0 \).
  • Speed relation: The car’s speed in the field is half its speed on the highway: \( v_{\text{field}} = \frac{v}{2} \).

Let:

  • \( v \) = speed of the car on the highway.
  • \( \frac{v}{2} \) = speed of the car in the field.
  • \( d \) = perpendicular distance from the highway to point \( P \) (i.e., \( MP = d \)).
  • \( x = RM \) = distance along the highway from \( R \) to \( M \).
  • \( MQ = L \) (given in the figure, though not explicitly stated, it’s the initial distance from \( Q \) to \( M \)).

The car travels from \( Q \) to \( R \) on the highway (distance \( QR = L - x \)), then from \( R \) to \( P \) in the field (distance \( RP = \sqrt{x^2 + d^2} \)).

Step-by-Step Derivation:

1. Express the total time \( T \) as a function of \( x \): \[ T(x) = \frac{QR}{v} + \frac{RP}{v/2} = \frac{L - x}{v} + \frac{\sqrt{x^2 + d^2}}{v/2} \] Simplify: \[ T(x) = \frac{L - x}{v} + \frac{2\sqrt{x^2 + d^2}}{v} \] Factor out \( \frac{1}{v} \): \[ T(x) = \frac{1}{v} \left( L - x + 2\sqrt{x^2 + d^2} \right) \]

2. To minimize \( T(x) \), we minimize the expression inside the parentheses (since \( v \) is constant): \[ f(x) = L - x + 2\sqrt{x^2 + d^2} \] Differentiate \( f(x) \) with respect to \( x \): \[ \frac{df}{dx} = -1 + 2 \cdot \frac{1}{2} (x^2 + d^2)^{-1/2} \cdot 2x = -1 + \frac{2x}{\sqrt{x^2 + d^2}} \]

3. Set the derivative equal to zero for critical points: \[ -1 + \frac{2x}{\sqrt{x^2 + d^2}} = 0 \implies \frac{2x}{\sqrt{x^2 + d^2}} = 1 \] Square both sides to eliminate the square root: \[ \frac{4x^2}{x^2 + d^2} = 1 \implies 4x^2 = x^2 + d^2 \implies 3x^2 = d^2 \] Solve for \( x \): \[ x = \frac{d}{\sqrt{3}} \]

4. Verify that this critical point is a minimum by checking the second derivative or observing the behavior of \( f(x) \). The second derivative is positive, confirming a minimum.

Thus, the optimal distance \( RM \) is \( \frac{d}{\sqrt{3}} \).

Common Traps & Exam Tip:

Trap 1: Incorrect distance expression. Students often misidentify the distance \( QR \) as \( x \) instead of \( L - x \). Always label the distances carefully based on the figure.

Trap 2: Forgetting the speed change. The car’s speed in the field is half its highway speed, so the time in the field must be divided by \( \frac{v}{2} \), not \( v \). This is a common oversight.

Trap 3: Algebraic errors in differentiation. When differentiating \( \sqrt{x^2 + d^2} \), students sometimes forget the chain rule or misapply it. Double-check the derivative: \[ \frac{d}{dx} \sqrt{x^2 + d^2} = \frac{x}{\sqrt{x^2 + d^2}} \]

Exam Tip: For optimization problems involving two media (e.g., highway and field), always:

  1. Express the total time as a function of the variable you’re optimizing (here, \( x = RM \)).
  2. Differentiate and set the derivative to zero.
  3. Solve for the variable and verify it’s a minimum.
This systematic approach avoids errors and ensures full marks.