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Question #41801

Difficulty: 8/10 | 🟢 Free

The Question

Let XX be a continuous random variable taking values in the interval [−1,1][-1, 1]. Its probability density function f(x)f(x) satisfies the integral equation: ∫0xf(t)1+t2 dt=14(x1+x2+ln⁡(x+1+x2))+16((1+x2)3/2−1)\int_{0}^{x} f(t) \sqrt{1+t^2} \, dt = \frac{1}{4} \left( x \sqrt{1+x^2} + \ln(x + \sqrt{1+x^2}) \right) + \frac{1}{6} \left( (1+x^2)^{3/2} - 1 \right) for all x∈[−1,1]x \in [-1, 1]. Let E1E_1 be the event that the roots of the quadratic equation y2+2Xy+X=0y^2 + 2Xy + X = 0 (in variable yy) are real. Let E2E_2 be the event that XX satisfies the inequality: ∫−XXt3cos⁡2t1+t2 dt+X2≤14\int_{-X}^{X} \frac{t^3 \cos^2 t}{1+t^2} \, dt + X^2 \le \frac{1}{4} Find the conditional probability P(E1∣E2)P(E_1 \mid E_2).

Options

  • A.

    38\frac{3}{8}

  • B.

    12\frac{1}{2}

  • C.

    34\frac{3}{4}

  • D.

    58\frac{5}{8}

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Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Monster

Ultra-high difficulty questions designed to test your limit, stamina, and deep conceptual understanding.

Concepts Behind This Question

Conditional Probability Constraints|Leibniz Rule for Differentiation under Integral|Even and Odd Function Symmetry

Why This Question Is Tricky

Common Mistakes

This question tests the synthesis of calculus and probability.

The primary trap lies in the evaluation of the event E2E_2.

Students often attempt to integrate the complex function or incorrectly assume it contributes a non-zero value, leading to erroneous bounds for XX.

Recognizing that the integrand is an odd function evaluated over symmetric limits [−X,X][-X, X] immediately collapses the integral to zero.

This realization is critical, as P(E2)P(E_2) acts as the normalization constant for the conditional probability.

Furthermore, applying Leibniz's rule correctly to extract the PDF f(x)f(x) and solving the discriminant inequality for E1E_1 act as rigorous secondary filters.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 12
ConceptConditional Probability Constraints
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree