我们将 E 称为 Paul 翻转硬币偶数次的事件,将 Fn 称为 n 次翻转的结果。
P(E)=21P(E∣F1=heads)+21P(E∣F1=tails)
根据对称性,P(E∣F1=heads)=P(E∣F1=tails),由于它们相同,因此也等于 P(E)。我们第一次翻转得到什么似乎并不重要。让我们检查一下 F2
P(E)=21P(E∣F1=F2)+21P(E∣F1=F2)
在 Paul 的第一次和第二次翻转比赛中,他发现 2 翻转是连续翻转,因此,
P(E∣F1=F2)=1
如果他的前两次翻转不匹配,他的进步水平与 F1 相同,但多了一次翻转。因此,
P(E∣F1=F2)=1−P(E)
我们现在有:
P(E)=21+21(1−P(E))⟹P(E)=32
Original Explanation
Let's call E the event Paul flips the coin an even number of times and Fn the outcome of the nth flip.
P(E)=21P(E∣F1=heads)+21P(E∣F1=tails)
By symmetry, P(E∣F1=heads)=P(E∣F1=tails), and since they are the same, they also equal P(E). It does not seem to matter what we get on the first flip. Let's examine F2
P(E)=21P(E∣F1=F2)+21P(E∣F1=F2)
In the case Paul's first and second flip match, he found consecutive flips with 2 flips so,
P(E∣F1=F2)=1
In the case his first two flips don't match, he is at the same level of progress as F1 but with an additional flip. Therefore,
P(E∣F1=F2)=1−P(E)
We now have:
P(E)=21+21(1−P(E))⟹P(E)=32