Alice vs. Bob: Coin Toss Game
Scenario:
- Alice tosses \( n + 1 \) fair coins.
- Bob tosses \( n \) fair coins.
- What is the probability that Alice gets strictly more heads than Bob?
Reformulation and Intuition
Let:
- \( A \sim \text{Bin}(n+1, \frac{1}{2}) \): number of heads Alice gets
- \( B \sim \text{Bin}(n, \frac{1}{2}) \): number of heads Bob gets
We want:
\[ P(A > B) \]
Rather than summing over binomial probabilities directly, we can solve this using symmetry.
Symmetry Argument
Let \( A_n \) be the number of heads Alice gets in her first \( n \) tosses, and let her last toss be \( C \) (which is 1 if heads, 0 if tails). So, \( A = A_n + C \).
By symmetry, since Alice and Bob both toss \( n \) fair coins:
\[ P(A_n > B) = P(A_n < B) \]
Since the probabilities must sum to 1:
\[ P(A_n > B) = \frac{1 - P(A_n = B)}{2} \]
Now, Alice gets strictly more heads than Bob (\( A > B \)) in two mutually exclusive cases:
- \( A_n > B \): Alice already has more heads in the first \( n \) tosses. Regardless of her final toss \( C \), she wins.
- \( A_n = B \) and \( C = 1 \): They are tied after \( n \) tosses, but Alice’s final coin lands heads.
The total probability is:
\[ P(A > B) = P(A_n > B) + P(A_n = B) \cdot P(C = 1) \]
Substitute \( P(A_n > B) \) and \( P(C = 1) = \frac{1}{2} \):
\[ P(A > B) = \frac{1 - P(A_n = B)}{2} + P(A_n = B) \cdot \frac{1}{2} = \frac{1}{2} \]
Conclusion
\[ \boxed{P(\text{Alice gets more heads}) = \frac{1}{2}} \]
Despite the difference in number of tosses, the symmetry and fairness of the coins give this elegant result.