Let's throw a dice!

A fair dice is thrown repeatedly. For k 1 k\ge 1 , let a k a_k be the sum of the first k k throws. Now for any integer n n , define p ( n ) p(n) be the probability that a k = n a_k=n . (In this problem, we assume p ( m ) = 0 p(m)=0 if m < 0 m<0 and p ( 0 ) = 1 p(0)=1 )

For example, p ( 2 ) p(2) is the probability that a 1 = 2 a_1=2 or a 2 = 2 a_2=2 (we stop here since there is no way to have 3 throws to get a score 2), so p ( 2 ) = 1 6 + 1 6 × 1 6 = 7 36 p(2)=\frac{1}{6}+\frac{1}{6}\times \frac{1}{6}=\frac{7}{36}

Find the value of 6 p ( n ) + 5 p ( n 1 ) + 4 p ( n 2 ) + 3 p ( n 3 ) + 2 p ( n 4 ) + p ( n 5 ) 6p(n)+5p(n-1)+4p(n-2)+3p(n-3)+2p(n-4)+p(n-5)

Bonus: Find lim n p ( n ) \lim_{n\to\infty}p(n)

6 7 1 3 4 2 5

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1 solution

Brian Moehring
Jul 18, 2018

For any n 0 n \geq 0 we have 1 = k = 1 P ( a k 1 n < a k ) = k = 1 m = 0 5 P ( a k 1 = n m and a k a k 1 > m ) = m = 0 5 k = 1 P ( a k 1 = n m ) P ( a k a k 1 > m ) = m = 0 5 6 m 6 k = 1 P ( a k 1 = n m ) = m = 0 5 6 m 6 p ( n m ) \begin{aligned} 1 &= \sum_{k=1}^\infty \mathbb{P}(a_{k-1}\leq n < a_k) \\ &= \sum_{k=1}^\infty \sum_{m=0}^5 \mathbb{P}(a_{k-1}=n-m \text{ and } a_k-a_{k-1} > m) \\ &= \sum_{m=0}^5 \sum_{k=1}^\infty \mathbb{P}(a_{k-1}=n-m) \cdot \mathbb{P}(a_k-a_{k-1} > m) \\ &= \sum_{m=0}^5 \frac{6-m}{6} \sum_{k=1}^\infty \mathbb{P}(a_{k-1}=n-m) \\ &= \sum_{m=0}^5 \frac{6-m}{6} p(n-m) \end{aligned}

Therefore, by multiplying both sides by 6 6 , we have 6 p ( n ) + 5 p ( n 1 ) + 4 p ( n 2 ) + 3 p ( n 3 ) + 2 p ( n 4 ) + p ( n 5 ) = m = 0 5 ( 6 m ) p ( n m ) = 6 6p(n) + 5p(n-1) + 4p(n-2) + 3p(n-3) + 2p(n-4) + p(n-5) = \sum_{m=0}^5 (6-m) p(n-m) = \boxed{6}


Note for the Bonus : The only hard part is showing that the limit exists (it does). Under the assumption it exists, we can use the result of the main problem to write 6 = ( 6 + 5 + 4 + 3 + 2 + 1 ) lim n p ( n ) lim n p ( n ) = 2 7 6 = (6+5+4+3+2+1)\lim_{n\to\infty}p(n) \implies \lim_{n\to\infty}p(n) = \frac{2}{7}

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