Probability that One Random Subset is Contained in Another
Problem
Let \( X \) be a finite set with \( n \) elements. Choose two subsets \( A \) and \( B \) of \( X \) uniformly at random and independently.
What is the probability that:
\[ A \subseteq B \ ? \]
Step-by-Step Solution
1. Total Number of Pairs
Each of the \( 2^n \) subsets is equally likely, so the total number of pairs \( (A, B) \) is:
\[ 2^n \times 2^n = 4^n \]
2. When Is \( A \subseteq B \)?
For each element \( x \in X \), there are 3 possible outcomes for \( (x \in A, x \in B) \):
- Case 1: \( x \notin A, x \notin B \)
- Case 2: \( x \notin A, x \in B \)
- Case 3: \( x \in A, x \in B \)
But the case \( x \in A, x \notin B \) violates \( A \subseteq B \). So among the 4 possible combinations of inclusion for \( x \), only 3 are allowed.
3. Per-Element Probability
For each element, the total number of valid combinations satisfying \( A \subseteq B \) is 3 out of 4. Since elements are independent:
\[ P(A \subseteq B) = \left( \frac{3}{4} \right)^n \]
Final Answer
\[ \boxed{P(A \subseteq B) = \left( \frac{3}{4} \right)^n} \]
This decreases exponentially as \( n \) increases.