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Application of Derivatives question

2013 · Shift 2 · Q28
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  5. /2013 · Shift 2 · Q28

Application of Derivatives question

2013 · Shift 2 · Q28

JEE AdvancedMathematicsApplication of DerivativesMCQ+4 / −1
Let f:[0,1]→Rf:\left[ {0,1} \right] \to Rf:[0,1]→R(the set of all real numbers) be a function. Suppose the function fff is twice differentiable, f(0)=f(1)=0f(0) = f(1)=0f(0)=f(1)=0 and satisfies f′′(x)−2f′(x)+f(x)≥.ex,x∈[0,1]f''\left( x \right) - 2f'\left( x \right) + f\left( x \right) \ge .{e^x},x \in \left[ {0,1} \right]f′′(x)−2f′(x)+f(x)≥.ex,x∈[0,1]. Which of the following is true for 0<x<1?0 \lt x \lt 1?0<x<1?
  1. A
    0<f(x)<∞0 \lt f\left( x \right) \lt \infty0<f(x)<∞
  2. B
    −12<f(x)<12- {1 \over 2} \lt f\left( x \right) \lt {1 \over 2}−21​<f(x)<21​
  3. C
    −14<f(x)<1- {1 \over 4} \lt f\left( x \right) \lt 1−41​<f(x)<1
  4. D
    −∞<f(x)<0- \infty \lt f\left( x \right) \lt 0−∞<f(x)<0
View written solutionFree

Correct answer: D

Step-by-step Solution:

  1. Analyze the Differential Inequality

The given differential inequality is f′′(x)−2f′(x)+f(x)≥exf''(x) - 2f'(x) + f(x) ≥ e^xf′′(x)−2f′(x)+f(x)≥ex for x ∈ [0, 1]. The left-hand side (LHS) resembles the result of applying a linear differential operator. Specifically, it can be expressed as the second derivative of a product involving f(x) and an exponential function.

  1. Introduce an Auxiliary Function

Let's define an auxiliary function g(x) to simplify the inequality. A good choice for g(x) is inspired by the method of solving second-order linear ODEs. Let's define: g(x)=e(−x)f(x)g(x) = e^(-x) f(x)g(x)=e(−x)f(x).

  1. Rewrite the Inequality in Terms of g(x)

We need to find the second derivative of g(x). First derivative: g′(x)=d/dx(e(−x)f(x))=−e(−x)f(x)+e(−x)f′(x)=e(−x)(f′(x)−f(x))g'(x) = d/dx (e^(-x) f(x)) = -e^(-x) f(x) + e^(-x) f'(x) = e^(-x) (f'(x) - f(x))g′(x)=d/dx(e(−x)f(x))=−e(−x)f(x)+e(−x)f′(x)=e(−x)(f′(x)−f(x))

Second derivative: g′′(x)=d/dx[e(−x)(f′(x)−f(x))]g''(x) = d/dx [e^(-x) (f'(x) - f(x))]g′′(x)=d/dx[e(−x)(f′(x)−f(x))] Using the product rule: g′′(x)=−e(−x)(f′(x)−f(x))+e(−x)(f′′(x)−f′(x))g''(x) = -e^(-x) (f'(x) - f(x)) + e^(-x) (f''(x) - f'(x))g′′(x)=−e(−x)(f′(x)−f(x))+e(−x)(f′′(x)−f′(x)) g′′(x)=e(−x)[−f′(x)+f(x)+f′′(x)−f′(x)]g''(x) = e^(-x) [-f'(x) + f(x) + f''(x) - f'(x)]g′′(x)=e(−x)[−f′(x)+f(x)+f′′(x)−f′(x)] g′′(x)=e(−x)[f′′(x)−2f′(x)+f(x)]g''(x) = e^(-x) [f''(x) - 2f'(x) + f(x)]g′′(x)=e(−x)[f′′(x)−2f′(x)+f(x)]

Now, we can use the original inequality f′′(x)−2f′(x)+f(x)≥exf''(x) - 2f'(x) + f(x) ≥ e^xf′′(x)−2f′(x)+f(x)≥ex. Multiplying both sides by e(−x)e^(-x)e(−x) (which is always positive, so the inequality sign is preserved): e(−x)[f′′(x)−2f′(x)+f(x)]≥e(−x)∗exe^(-x) [f''(x) - 2f'(x) + f(x)] ≥ e^(-x) * e^xe(−x)[f′′(x)−2f′(x)+f(x)]≥e(−x)∗ex Substituting g''(x) for the LHS, we get: g''(x) ≥ 1

  1. Analyze the Auxiliary Function g(x)

We have established that g''(x) ≥ 1 for x ∈ [0, 1]. Let's find the values of g(x) at the boundaries of the interval. We are given f(0) = 0 and f(1) = 0.

g(0)=e(−0)f(0)=1∗0=0g(0) = e^(-0) f(0) = 1 * 0 = 0g(0)=e(−0)f(0)=1∗0=0 g(1)=e(−1)f(1)=e(−1)∗0=0g(1) = e^(-1) f(1) = e^(-1) * 0 = 0g(1)=e(−1)f(1)=e(−1)∗0=0

So, our auxiliary function g(x) has the following properties:

  • g(0) = 0
  • g(1) = 0
  • g''(x) ≥ 1 for x ∈ [0, 1]

The condition g''(x) ≥ 1 > 0 implies that g(x) is a strictly convex function on the interval [0, 1] (its graph is concave up).

  1. Apply Properties of Convex Functions

A property of a convex function on an interval [a, b] is that its graph lies on or below the line segment (chord) connecting the points (a, g(a)) and (b, g(b)).

For g(x) on [0, 1], the endpoints are (0, g(0)) = (0, 0) and (1, g(1)) = (1, 0). The chord connecting these points is the line segment y = 0 for x ∈ [0, 1].

Therefore, for any x ∈ (0, 1), the value of g(x) must be less than or equal to the value on the chord, which is 0. So, g(x) ≤ 0 for x ∈ (0, 1).

  1. Prove Strict Inequality

Let's check if g(x) can be equal to 0 for some x₀ ∈ (0, 1). Assume, for the sake of contradiction, that g(x₀) = 0 for some x₀ ∈ (0, 1).

We would have g(0) = g(x₀) = g(1) = 0. By applying Rolle's Theorem to g(x) on the intervals [0, x₀] and [x₀, 1], we can conclude that there exist c₁ ∈ (0, x₀) and c₂ ∈ (x₀, 1) such that g'(c₁) = 0 and g'(c₂) = 0.

Now, applying Rolle's Theorem again, this time to the function g'(x) on the interval [c₁, c₂], there must exist some c₃ ∈ (c₁, c₂) ⊂ (0, 1) such that g''(c₃) = 0.

This contradicts our established result that g''(x) ≥ 1 for all x ∈ [0, 1]. Therefore, our assumption that g(x₀) = 0 for some x₀ ∈ (0, 1) must be false.

Combining g(x) ≤ 0 and g(x) ≠ 0, we conclude that g(x) < 0 for x ∈ (0, 1).

  1. Relate Back to f(x)

We defined g(x)=e(−x)f(x)g(x) = e^(-x) f(x)g(x)=e(−x)f(x). Since we found that g(x) < 0 for x ∈ (0, 1): e(−x)f(x)<0e^(-x) f(x) < 0e(−x)f(x)<0

The exponential function e(−x)e^(-x)e(−x) is always positive for any real x. Therefore, for the product to be negative, f(x) must be negative.

f(x) < 0 for all x ∈ (0, 1).

  1. Evaluate the Options

The result f(x) < 0 means that for any x in the open interval (0, 1), the value of f(x) is a negative real number. This can be expressed as -∞ < f(x) < 0.

Let's check the given options:

  • A: 0 < f(x) < ∞ - Incorrect, as f(x) is negative.
  • B: -1/2 < f(x) < 1/2 - Incorrect, as it allows for positive values of f(x).
  • C: -1/4 < f(x) < 1 - Incorrect, as it allows for positive values of f(x).
  • D: -∞ < f(x) < 0 - This is a true statement that correctly describes our finding that f(x) is always negative for x ∈ (0, 1).

Therefore, the correct option is D.

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