<p>The second degree polynomial \(f(x)\), satisfying \(f(0) = 0\), \(f(1) = 1\), \(f'(x) \geq 0; x \in (0, 1)\) is</p>
<p>(a) \(f(x) = x\)</p>
<p>(b) \(f(x) = ax + (1-a)x^2; a \in (0, 1)\)</p>
<p>(c) \(f(x) = ax + (1-a)x^2; a \in (0, 2)\)</p>
<p>(d) No such polynomial</p>
Step-by-Step Solution
Key Concept: We need to find a second-degree polynomial satisfying three conditions: f(0)=0, f(1)=1, and f'(x)≥0 on (0,1). The non-negativity of the derivative ensures the function is non-decreasing, which constrains the polynomial coefficients.
<p><strong>Step 1: Set up the general form</strong></p><p>Let f(x) = Ax² + Bx + C (second-degree polynomial)</p><p><strong>Step 2: Apply boundary condition f(0) = 0</strong></p><p>f(0) = C = 0, so f(x) = Ax² + Bx</p><p><strong>Step 3: Apply boundary condition f(1) = 1</strong></p><p>f(1) = A + B = 1, so B = 1 - A</p><p>Thus f(x) = Ax² + (1-A)x</p><p><strong>Step 4: Apply monotonicity condition f'(x) ≥ 0 on (0,1)</strong></p><p>f'(x) = 2Ax + (1-A)</p><p>For f'(x) ≥ 0 on (0,1), we need: 2Ax + (1-A) ≥ 0 for all x ∈ (0,1)</p><p><strong>Step 5: Find constraints on A</strong></p><p>The minimum of f'(x) on (0,1) occurs at x = 0 (if A > 0) or is constantly negative (if A < 0):</p><p>• At x = 0: f'(0) = 1 - A ≥ 0 ⟹ A ≤ 1</p><p>• At x = 1: f'(1) = 2A + 1 - A = A + 1. For this to be non-negative: A ≥ -1</p><p>• Since we need a true second-degree polynomial: A ≠ 0</p><p>• For f'(x) ≥ 0 throughout (0,1) with A > 0: minimum value 1 - A ≥ 0 ⟹ A ≤ 1</p><p>• Combining: 0 < A ≤ 1, or setting a = A, we get a ∈ (0,1]</p><p><strong>Step 6: Verify the answer form</strong></p><p>With substitution a = A, we get f(x) = ax + (1-a)x² where a ∈ (0,1)</p><p>Note: a cannot equal 1 (degenerate to linear), and a must be positive (need second-degree term)</p><p><strong>∴ Answer: B</strong></p>
Correct Answer: B