By considering the sum of a geometric series, or otherwise, show that
\[\sum_{r=1}^{\infty} rx^{r-1} = \frac{1}{(1-x)^2} \quad \text{for } |x| < 1.\]
Ali plays a game with a fair \(2k\)-sided die. He rolls the die until the first \(2k\) appears. Ali wins if all the numbers he rolls are even.
Find the probability that Ali wins the game.
If Ali wins the game, he earns £1 for each roll, including the final one. If he loses, he earns nothing.
Find Ali's expected earnings from playing the game.
Find a simplified expression for
\[1 + 2\binom{n}{1}x + 3\binom{n}{2}x^2 + \ldots + (n+1)x^n,\]
where \(n\) is a positive integer.
Zen plays a different game with a fair \(2k\)-sided die. She rolls the die until the first \(2k\) appears, and wins if the numbers rolled are strictly increasing in size. For example, if \(k = 3\), she wins if she rolls 2, 6 or 1, 4, 5, 6, but not if she rolls 1, 4, 2, 6 or 1, 3, 3, 6.
If Zen wins the game, she earns £1 for each roll, including the final one. If she loses, she earns nothing.
Find Zen's expected earnings from playing the game.
Using the approximation
\[\left(1 + \frac{1}{n}\right)^n \approx e \quad \text{for large } n,\]
show that, when \(k\) is large, Zen's expected earnings are a little over 35\% more than Ali's expected earnings.
Write down the general term in the expansion
in powers of \(x\) of \((1-x)^{-1}\), \((1-x)^{-2}\) and \((1-x)^{-3}\), where \(|x| <1\).
Evaluate
\(\displaystyle \sum_{n=1}^\infty n 2^{-n}\) and
\(\displaystyle \sum_{n=1}^\infty n^22^{-n}\).
Show that $\displaystyle (1-x)^{-\frac12} = \sum_{n=0}^\infty \frac{(2n)!}{(n!)^2}
\frac{x^n}{2^{2n}}\( , for \)|x|<1$.
Evaluate \(\displaystyle \sum_{n=0}^\infty \frac{(2n)!} {(n!)^2 2^{2n}3^{n}} \) and \(\displaystyle \sum_{n=1}^\infty \frac{n(2n)!} {(n!)^2 2^{2n}3^{n}}\).