A man is drinking a beer in a pub, he feels boring. A lady comes to him, takes out two coins and says: “Let’s play a game. Let’s throw a coin each. And if both are heads, you win $3, if both are tails, you win $1. Otherwise I win $2”
So, put this in a table:pro
Lady\Men Head Tail Head 3 -2 Tail -2 1
The positive numbers mean a gain for the man and the negative numbers mean a gain for the lady. The man aims to maximum the numbers while the lady is minimizing the numbers.
At a glance, each is 25% probability so it should be quite fair for each player. For example:
- Both heads 1/4
- Both tails 1/4
- Head + Tail 1/4
- Tail + Head 1/4
Expectation
The expectation is the probability of winning times the gain. Let’s assume for the man, the probability of heads is x and the probability of tails is thus 1-x. Similarly, let’s assume for the lady, the probability of heads is y and the corresponding tails is 1-y.
Thus the expectation for the man winning is
The man want’s to maximum the above equation. Let’s rearrange the equation to:
3xy + 1 + xy – x – y – 2(y – xy + x – xy)
3xy + 1 + xy – x – y – 2y + 2xy – 2x + 2xy
8xy – 3x – 3y + 1
y(8x – 3) – 3x + 1
So, this should be positive for the man, thus y(8x-3)-3x+1 > 0 and we should get:
(8x-3)y > 3x-1
So, if 8x – 3 > 0 which is x > 0.375, y > (3x-1)/(8x-3) (for man wining). And on the other hand,
when x < 0.375, y > (3x-1)/(8x-3) (for man winning).
If x=3/8 which means if the probability of the man’s throwing heads is 0.375, the expectation is -0.125 In the long term, the main is losing.
Let’s say that the lady knows x, then, she will adjust the y so that above expectation for the man is smaller than zero, which is indidated in below graph.
Similarly, the expectation for the lady can be computed and analysed in the same way.
In the next article, we will simulate this in computer program to see if the winning strategy works.
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