To solve this problem, we need to analyze the behavior of the sequence {Yn} defined as Yn = n min{X1, X2, …, Xn}, where {Xn} are i.i.d. random variables uniformly distributed over (0,1). We are interested in the distribution of Yn as n approaches infinity.
1. Distribution of the Minimum: For i.i.d. random variables X1, X2, …, Xn, the probability that min{X1, X2, …, Xn} > x is (1-x)n for 0 ≤ x ≤ 1.
2. Distribution of n min: Then, P(n min{X1, X2, …, Xn} > y) = P(min{X1, X2, …, Xn} > y/n) = (1-y/n)n.
3. Limit Distribution: Consider the limit as n → ∞. Using the fact that (1-y/n)n approaches e-y, the distribution of Yn converges to an exponential distribution with λ = 1.
4. Median of Exponential Distribution: The median m of an exponential distribution with parameter λ is given by solving e-m = 0.5, leading to m = ln(2)/λ.
5. Calculation: Since λ = 1, the median is m = ln(2) ≈ 0.6931, rounded to 0.69.
6. Validation: The computed median, 0.69