Assuming that it is an unfair play
Required probability is given by\({a_i}\)
Let\({a_i}\)denote the probability that the fortune of gambler A will reach k dollars before it reaches 0 dollars, given that his initial fortune is i dollars.
\({a_i} = \frac{{{{\left( {\frac{{1 - p}}{p}} \right)}^i} - 1}}{{{{\left( {\frac{{1 - p}}{p}} \right)}^k} - 1}}\)for\(i = 1,2,...,k - 1\)
Let\(\left( {\frac{{1 - p}}{p}} \right) = r\)
Then\({a_i} = \frac{{{r^i} - 1}}{{{r^k} - 1}}\)where\(i = 1,2,...,k - 1\)
Here p=0.4
So
\(\begin{aligned}{c}r = \frac{{1 - p}}{p}\\ = \frac{3}{2}\end{aligned}\)
Which is greater than 1 and\(k > i\)
Then from the above formula
\(\begin{aligned}{l}{a_i} = \frac{{{{\left( {\frac{3}{2}} \right)}^i} - 1}}{{{{\left( {\frac{3}{2}} \right)}^k} - 1}}\\ = \frac{{{{\left( {1.5} \right)}^i} - 1}}{{{{\left( {1.5} \right)}^{100}} - 1}}\end{aligned}\)
For\(i = 98\),\({a_i} = 0.44\)
For\(i = 97\),\({a_i} = 0.30\)
And so on
So the total probability that gambler A losses i dollars before winning 100 − i dollars
=0.44+0.30+…
Which is >0.5
Hence,
\({a_i} > \frac{1}{2}\)