Question #179022

In a tennis match, with the score at deuce, the game is won by the first player who gets a clear lead of two points.If the probability that given player wins a particular point isθ, and all points are played independently, what is the probability that player eventually wins the game


1
Expert's answer
2021-04-15T07:25:54-0400

Solution:

Let us define

- sample space Ω\Omega to consist of all possible infinite sequences of points;

- event WiW_{i} - nominated player wins the i th point;

- event ViV_{i} - nominated player wins the game on the i th point;

- event V - nominated player wins the game.

We want P(V). The events {W1,W1}\left\{W_{1}, W_{1}^{\prime}\right\} partition Ω\Omega , and thus, by the Theorem of Total Probability

P(V)=P(VW1)P(W1)+P(VW1)P(W1)P(V)=P\left(V \mid W_{1}\right) P\left(W_{1}\right)+P\left(V \mid W_{1}^{\prime}\right) P\left(W_{1}^{\prime}\right) ...(1)

Now P(W1)=θP\left(W_{1}\right)=\theta and P(W1)=1θP\left(W_{1}^{\prime}\right)=1-\theta . To get P(VW1)P\left(V \mid W_{1}\right) and P(VW1)P\left(V \mid W_{1}^{\prime}\right) , we need to further condition on the result of the second point, and again use the Theorem: for example

P(VW1)=P(VW1W2)P(W2W1)+P(VW1W2)P(W2W1)P(VW1)=P(VW1W2)P(W2W1)+P(VW1W2)P(W2W1)\begin{aligned} P\left(V \mid W_{1}\right) &=P\left(V \mid W_{1} \cap W_{2}\right) P\left(W_{2} \mid W_{1}\right)+P\left(V \mid W_{1} \cap W_{2}^{\prime}\right) P\left(W_{2}^{\prime} \mid W_{1}\right) \\ P\left(V \mid W_{1}^{\prime}\right) &=P\left(V \mid W_{1}^{\prime} \cap W_{2}\right) P\left(W_{2} \mid W_{1}^{\prime}\right)+P\left(V \mid W_{1}^{\prime} \cap W_{2}^{\prime}\right) P\left(W_{2}^{\prime} \mid W_{1}^{\prime}\right) \end{aligned}

...(2)

where

P(VW1W2)=1,P(W2W1)=P(W2)=θP(VW1W2)=P(V),P(W2W1)=P(W2)=1θ,P(VW1W2)=P(V),P(W2W1)=P(W2)=θP(VW1W2)=0,P(W2W1)=P(W2)=1θ,\begin{array}{ll} P\left(V \mid W_{1} \cap W_{2}\right)=1, & P\left(W_{2} \mid W_{1}\right)=P\left(W_{2}\right)=\theta \\ P\left(V \mid W_{1} \cap W_{2}^{\prime}\right)=P(V), & P\left(W_{2}^{\prime} \mid W_{1}\right)=P\left(W_{2}^{\prime}\right)=1-\theta, \\ P\left(V \mid W_{1}^{\prime} \cap W_{2}\right)=P(V), & P\left(W_{2} \mid W_{1}^{\prime}\right)=P\left(W_{2}\right)=\theta \\ P\left(V \mid W_{1}^{\prime} \cap W_{2}^{\prime}\right)=0, & P\left(W_{2}^{\prime} \mid W_{1}^{\prime}\right)=P\left(W_{2}^{\prime}\right)=1-\theta, \end{array}

as,

given W1W2W_{1} \cap W_{2} : the game is over, and the nominated player has won given W1W2W_{1} \cap W_{2}^{\prime} : the game is back at deuce given W1W2W_{1}^{\prime} \cap W_{2} : the game is back at deuce given W1W2W_{1}^{\prime} \cap W_{2}^{\prime} } : the game is over, and the player has lost

and the results of successive points are independent. Thus

P(VW1)=(1×θ)+(P(V)×(1θ))=θ+(1θ)P(V)P(VW1)=(P(V)×θ)+0×(1θ)=θP(V)\begin{aligned} P\left(V \mid W_{1}\right) &=(1 \times \theta)+(P(V) \times(1-\theta))=\theta+(1-\theta) P(V) \\ P\left(V \mid W_{1}^{\prime}\right) &=(P(V) \times \theta)+0 \times(1-\theta)=\theta P(V) \end{aligned}

Hence, combining (1) and (2), we get

P(V)=(θ+(1θ)P(V))θ+θP(V)(1θ)=θ2+2θ(1θ)P(V)\begin{array}{c} P(V)=(\theta+(1-\theta) P(V)) \theta+\theta P(V)(1-\theta)=\theta^{2}+2 \theta(1-\theta) P(V) \\ \end{array}

P(V)=θ212θ(1θ)\Rightarrow P(V)=\frac{\theta^{2}}{1-2 \theta(1-\theta)}


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