Interesting probability problem

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Discussion Overview

The discussion revolves around a probability game involving coin flips and payouts, where participants analyze the expected payout and the conditions under which players must continue or stop playing. The scope includes mathematical reasoning and technical explanations related to probability theory.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant presents a formula for calculating the payout based on the probability of winning and the structure of the game, but expresses uncertainty about the validity of their result, noting it yields negative payouts.
  • Another participant provides a series of payoff calculations for an n-round game, suggesting that the expected payout is zero, and challenges the interpretation of the game mechanics.
  • Some participants question the differentiation approach used in the calculations, with one suggesting it resembles the expectation of a geometric series.
  • Concerns are raised about the convergence of the initial sum and its behavior at specific probability values, indicating potential issues with the calculations presented.
  • Disagreement arises regarding the nature of the game, with some asserting that the game only allows for winning or losing a dollar, while others argue for a broader interpretation of the possible outcomes.
  • Participants identify mistakes in the derivation of the payout formula, pointing out errors in differentiation and factorization.
  • Clarifications are requested regarding the game mechanics and the conditions under which players must stop playing.

Areas of Agreement / Disagreement

Participants express differing views on the mechanics of the game and the validity of the calculations presented. There is no consensus on the expected payout or the correctness of the mathematical approaches used.

Contextual Notes

Some calculations appear to depend on specific assumptions about the game structure and the probabilities involved, which have not been fully resolved. The discussion includes references to convergence issues and the conditions under which the initial sum is valid.

Alkatran
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I'm trying to solve a problem involving the payout from a probability game.

Here it is:

The game goes something like this:

pay a dollar
Flip a coin
If it's heads, you win 2$, otherwise you win 0$
If (some event which has chance P)
you are forced to play again

You must stop if your initial dollar is lost. (Essentially, you either move up, down, stop, or are forced to stop if you hit 0).

At first glance this looks like a fair game, and maybe it is, but what is the EXACT payout?

All I've tried to calculate so far is the payout if you always win (but stop) (not including cost of playing).

[tex] payout = \sum_{n=1}^\infty (\frac{1}{2})^n*p^{n-1}*(n+1)[/tex]
[tex] = \sum_{n=0}^\infty (\frac{1}{2})^{n+1}*p^n*(n+2)[/tex]
[tex] = \frac{1}{2} \sum_{n=0}^\infty (\frac{1}{2})^n*p^n*(n+2)[/tex]
[tex] = \frac{1}{p} \sum_{n=0}^\infty (\frac{p}{2})^{n+1}*(n+2)[/tex]
[tex] = \frac{1}{p} \frac{d}{dp}{\int \sum_{n=0}^\infty (\frac{p}{2})^{n+1}*(n+2) dp}[/tex]
[tex] = \frac{1}{2*p} \frac{d}{dp} \sum_{n=0}^\infty (\frac{p}{2})^{n+2}[/tex]
[tex] = \frac{1}{2*p} \frac{d}{dp} ( \frac{1}{1 - p/2} - 1 - \frac{p}{2} )[/tex]
[tex] = \frac{1}{2*p} \frac{1}{(1 - p/2)^2} * \frac{-1}{2} - \frac{1}{2}[/tex]
[tex] = \frac{1}{2*p} *( \frac{-1}{(2 - p)^2} - \frac{1}{2} )[/tex]
[tex] = \frac{-1}{2*p} * ( \frac{1}{(p - 2)^2} - \frac{1}{2} )[/tex]

I know this is wrong because it's negative for all p from 0 to 1 (and the game should be at least fair in this case)
 
Last edited:
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Payoff for an n-round game:

[tex]P_1=0/2+2/2-1=0[/tex]
[tex]P_2=0/2+0/4+4/4-1=0[/tex]
[tex]P_3=0/2+0/4+2/8+6/8-1=0[/tex]
[tex]P_3=0/2+0/4+0/16+4/16+4/16+8/16-1=0[/tex]
. . .

You can then sum these

[tex]\sum_{i=1}^\infty(1-p)^{n-1}pP_n[/tex]
 
CRGreathouse said:
Payoff for an n-round game:

[tex]P_1=0/2+2/2-1=0[/tex]
[tex]P_2=0/2+0/4+4/4-1=0[/tex]
[tex]P_3=0/2+0/4+2/8+6/8-1=0[/tex]
[tex]P_3=0/2+0/4+0/16+4/16+4/16+8/16-1=0[/tex]
. . .

You can then sum these

[tex]\sum_{i=1}^\infty(1-p)^{n-1}pP_n[/tex]

I think you have the wrong game in mind. You can only win or lose a dollar in this game, not double or nothing. I already tried the double-or-nothing and found you broke even.
 
I'm not differentiating with respect to p: I'm integrating AND differentiating with respect to p, effectively doing nothing. We did this in calculus to solve series with factors of n+x in them.
 
I know this is wrong because it's negative for all p from 0 to 1 (and the game should be at least fair in this case)

It's not negative for all p from 0 to 1. (For example, p = 1/2)

Did you notice your initial sum only converges for -1/2 <= p < 1/2? Frankly, I'd be surprised if your answer wasn't negative for p = 1.

(It disturbs me that it's positive for p=1/2 and undefined for p = 0, though)

I'm not yet convinced your initial sum is right though...
 
I see two mistakes in your derivation:

(1) You got the derivative of 1/(1-p/2) wrong.
(2) When you factored out the minus sign, you only pulled it from one of the terms.

(I'm not promising there aren't more!)
 
Alkatran said:
I think you have the wrong game in mind. You can only win or lose a dollar in this game, not double or nothing. I already tried the double-or-nothing and found you broke even.

I'm not calculating for double or nothing -- look at my numbers again. The possible payoffs for the game I'm calculating are -1, 1, 3, 5, ...

Can you give an example of play? You said "Essentially, you either move up, down, stop, or are forced to stop if you hit 0", but this was a little confusing.
 
Oh, I know why I wasn't convinced your sum was right -- I didn't notice you were only modelling the case of always winning!
 

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