Proving Martingale Property and Stopping Theorem for Probability Homework

In summary, the student is trying to find a solution to a problem involving a sequence of stages. At each stage, a white ball is drawn and the probability of drawing a black ball is determined. If a black ball is drawn at stage T, then the probability of drawing a black ball at stage T+2 is determined. The student proves that the probability of drawing a black ball at stage T+2 is equal to the probability of drawing a black ball at stage T+1.
  • #1
dirk_mec1
761
13

Homework Statement



http://img128.imageshack.us/img128/2010/95701129si7.png

The Attempt at a Solution


If I define [tex]Z_n = \frac{X_n}{n+2} [/tex] with Xn the number of white balls in stage n then how can I prove that it's martingale?
 
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  • #2


To start with, what is the definition of a martingale?
 
  • #3


e(ho0n3 said:
To start with, what is the definition of a martingale?

Do you know the answer to the question or are you teaching me?

[tex] E[ Z_{n+1}| Z_1 ,Z_2,...,Z_n] =Z_n [/tex]
 
  • #4


1) After the nth replication, there are [tex]Z_n(n+2)[/tex] white balls and [tex](1-Z_n)(n+2)[/tex] black balls in the urn.

2) In the (n+1)th replication, there will either be a white ball or a black ball added into the urn. For each of these cases, what will the new proportion of white balls in the urn be and what are the associated probabilities? Use the definition of expectation to calculate [tex]E \ [\ Z_{n+1}\ | \ Z_{1} , \ Z_{2} \, ..., \ Z_{n} \ ][/tex]
 
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  • #5


pizzasky said:
1) After the nth replication, there are [tex]Z_n(n+2)[/tex] white balls and [tex](1-Z_n)(n+2)[/tex] black balls in the urn.

2) In the (n+1)th replication, there will either be a white ball or a black ball added into the urn. For each of these cases, what will the new proportion of white balls in the urn be and what are the associated probabilities? Use the definition of expectation to calculate [tex]E \ [\ Z_{n+1}\ | \ Z_{1} , \ Z_{2} \, ..., \ Z_{n} \ ][/tex]

I thought that at each replication two white balls are added or removed. But suppose you're right then I get:

[tex] Z_{n+1}= \frac{Z_n(n+2)+1}{n+3} [/tex]

[tex] Z_{n+1} = \frac{Z_n(n+2)-1}{n+3} [/tex]

with probabilities 1/2 for each?
 
  • #6


At each replication, a ball is drawn from the urn. The colour of the ball is noted, then that ball, together with a new ball of the same colour, are placed into the urn. Note then that after each replication, the number of white balls in the urn either stays the same or increases by one.

Now, what is the probability of drawing a white ball (similarly, a black ball) from the urn during the (n+1)th replication? (Not necessarily half!)

If a white ball is drawn during the (n+1)th replication, then that white ball will be put back into the urn and a new white ball added. So, what will the proportion of white balls be after the (n+1)th replication? Similarly, if a black ball is drawn during the (n+1)th replication, what will the new proportion of white balls in the urn be?
 
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  • #7


So

[tex]E[Z_{n+1}|Z_1,...,Z_n] = Z_n \cdot \frac{Z_n (n+2) +1}{n+3} +(1-Z_n) \cdot \frac{Z_n (n+2) +1}{n+3} =Z_n[/tex]

Ok thanks. The next question is:

if T is the first stage at which a black ball is drawn prove that then:[tex] E \left[ \frac{1}{T+2} \right] - \frac{1}{4} [/tex] via the martingale stopping theorem.

http://img45.imageshack.us/img45/2362/85438730sk6.png If X_N is the number of white balls in stage n then:

[tex] E[Z_T] = E[Z_1] = \frac{1}{2} = E \left[ \frac{X_T}{T+2} \right] = E[X_T] E \left[ \frac{1}{T+2} \right] [/tex]

Is this correct?
 
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Related to Proving Martingale Property and Stopping Theorem for Probability Homework

1. What is the Martingale strategy?

The Martingale strategy is a betting system that suggests doubling your bet after every loss in order to eventually recover any losses and make a profit. It is commonly used in games of chance with even odds, such as roulette or coin tosses.

2. How does the Martingale strategy work?

The Martingale strategy works by doubling your bet after each loss, with the assumption that eventually you will win and make a profit that will cover your previous losses. For example, if you start with a $10 bet and lose, you would then double your bet to $20. If you lose again, you would double it to $40, and so on until you win. Once you win, you start over with your original bet amount.

3. What are the risks associated with using the Martingale strategy?

The main risk of using the Martingale strategy is the potential for a long losing streak, which can quickly deplete your bankroll. This can happen even with games that have close to 50/50 odds, as there is still a chance of multiple consecutive losses. It is also important to note that many casinos have betting limits in place, which can prevent players from using the Martingale strategy effectively.

4. Is the Martingale strategy a foolproof way to win at gambling?

No, the Martingale strategy is not a guaranteed way to win at gambling. While it may work in the short term, it is not a sustainable or reliable method for consistently making a profit. The longer you play, the higher the chances of hitting a long losing streak and losing a significant amount of money.

5. How does probability play a role in the Martingale strategy?

The Martingale strategy relies on the assumption that each bet has a 50/50 chance of winning. However, in reality, each bet is an independent event and the outcome of one does not affect the outcome of the next. This means that even with a 50/50 probability, there is still a chance of losing multiple times in a row, making the strategy risky and not guaranteed to work.

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