Maximum Drawdown (Binomial tree)

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The discussion centers on calculating the probability of a gambler experiencing a maximum drawdown, defined as losing a certain threshold of units during a series of trials. With a winning probability of 0.6 and a losing probability of 0.4, the gambler seeks to determine the likelihood of losing at least 10 units within 30 trials. The concept of "having ever" lost a specified amount is emphasized, illustrated by the gambler's use of golden coins, which represent his capital. Participants mention various mathematical techniques for solving this problem, including generating functions, the Inclusion/Exclusion principle, and the reflection principle. The complexity of the problem is acknowledged, highlighting the need for effective counting methods in random walks.
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Imagine there is a game and a gambler has a prob. of P1 in winning one unit of capital in a trial and 1 - P1 in lossing one unit.

He wants to know the prob. of HAVING EVER lost more than or equal to a threshold no. of units (drawdown threshold) at or before the end of a number of trials.

For example, if his prob. winning 1 unit is 0.6 and lossing 1 unit is 0.4, what is his probability of having ever lost more than or equal to 10 units at or before the end of 30 trials?

To illustrate the "having ever" concept a bit more, imagine the gambler has 10 golden coins, at any time-step, he uses 1 golden coin for gambling, if he has lost all of them before the end of the 30 trials, his attempt is over.

Thanks in advance!
 
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Problem solved!

kk007 said:
Imagine there is a game and a gambler has a prob. of P1 in winning one unit of capital in a trial and 1 - P1 in lossing one unit.

He wants to know the prob. of HAVING EVER lost more than or equal to a threshold no. of units (drawdown threshold) at or before the end of a number of trials.

For example, if his prob. winning 1 unit is 0.6 and lossing 1 unit is 0.4, what is his probability of having ever lost more than or equal to 10 units at or before the end of 30 trials?

To illustrate the "having ever" concept a bit more, imagine the gambler has 10 golden coins, at any time-step, he uses 1 golden coin for gambling, if he has lost all of them before the end of the 30 trials, his attempt is over.

Thanks in advance!
 
Awesome. Did you solve it using a generating function or with the Inclusion/Exclusion principle? That seems like a hard problem.
 
I just now learned of the technique for counting random walk paths called the reflection principle, or method of images. It simplifies things a lot. Perhaps that's how you solved it so quickly.
 
I was reading documentation about the soundness and completeness of logic formal systems. Consider the following $$\vdash_S \phi$$ where ##S## is the proof-system making part the formal system and ##\phi## is a wff (well formed formula) of the formal language. Note the blank on left of the turnstile symbol ##\vdash_S##, as far as I can tell it actually represents the empty set. So what does it mean ? I guess it actually means ##\phi## is a theorem of the formal system, i.e. there is a...
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