Quote from jimbojim:
If you set T = oo I think you get:
R{oo|X|C}= ((q/p)^(C-X) - (q/p)^oo)/(1 - (q/p)^oo)
If q > p then we get
R{oo|X|C}}= ((q/p)^(C-X) - oo)/(1 - oo)
which for (C-X) < oo is equivalent to:
R{oo|X|C}= ((q/p)^(C-X) - oo)/(1 - oo) = oo/oo
Now, the limit is not defined as oo/oo doesn't equal to 1. This may imply one or more of the following:
1. The limit can be any number for T = oo
2. The method followed doesn't apply at the limit of oo
3. The method followed doesn't apply at all
R{T|X|C} = ((q/p)^(C-X) - (q/p)^(T-X))/(1 - (q/p)^(T-X))Quote from Visaria:
What is infinity divided by infinity? Infinity? Does it even make sense to divide infinity by infinity?
Quote from kut2k2:
R{T|X|C} = ((q/p)^(C-X) - (q/p)^(T-X))/(1 - (q/p)^(T-X))
Now divide the numerator and denominator by (q/p)^(T-X) :
R{T|X|C} = (((q/p)^(C-X)/(q/p)^(T-X)) - 1)/(1/(q/p)^(T-X) - 1)
So the limit of R{T|X|C} as T increases to infinity is
R{infinity|X|C} = (0 - 1)/(0 - 1) = 1 IF q > p
Of course it is. T is chosen by the gambler. It is in no way dependent on C, X, p or q.Quote from jimbojim:
Math is not just symbol manipulation. When taking the limit as T -> oo you already assume that T can get to infinity.
T is not a free, independent variable in a gambling game. Wouldn't that be nice?
Can you?Quote from jimbojim:
I would like that you seriously think about this. Can you spot the fallacy you employed that led to a limit equal to 1?
So give us the "dependent" relationship you talk about. Be specific.Quote from jimbojim:
The limit is correct but the way you derive it is mathematically wrong. T is not like time t in physics, a quantity that is independent of the underline process (save relativistic conditions).
T is a dependent quantity and as someone already pointed out it depends on the path followed.
You have reading comprehension problems. The risk of ruin is the probability of FAILURE. Obviously you won't reach infinite capital if the risk of ruin is one.Quote from jimbojim:
What sense does it make to say that the probability of ruin is 1 when you have infinite capital accumulated?
Quote from kut2k2:
You have reading comprehension problems. The risk of ruin is the probability of FAILURE. Obviously you won't reach infinite capital if the risk of ruin is one.
You are obviously a mentally deficient person so I will explain this s-l-o-w-l-y one last time before putting you on ignore.Quote from jimbojim:
Really? Do I have comprehension problems? Aren't you the one who in the process of calculating the probability of failure to reach infinite T you set T equal to infinity? So, aren't you the one who then claimed that the probability of failure to reach infinite T is 1 when T is already infinity, for q > p?
Think of it another way; can you say given a function of x which has a limit of 1 as x goes to infinity guarantees that x will be less than some number x' with probability 1? What sense does that make?
I think DontMissThe Buss was correct to call you a crank. I am asking you again crank; what sense does it make to say that the failure probability is 1 when T is infinity? This is too simple for an eight year old. Are you a grown up?
So everyone who tries to put you in order is a sockpuppet of someone else or crazy.
Bye-
Edit: as I said the calculated probability happens to be the correct number but the formulation of the program is cranky. You have to find a function for that probability where n, the number of trials, is the independent variable. Then you are allowed to set n equal to infinity at the limit to calculate the probability of failure to reach some target T, given starting C, before falling to X.
You haven't done that.
Notice how you never got a response, my friend. That's because math cranks are real good at challenging mathematical claims by others, regardless of evidence, and really bad at defending their own mathematical claims.Quote from virtualmoney:
Interesting...if you have 8 consecutive losses straightaway, your prob(ruin) changes from 0.04 to 0.9999 in the next 100 tosses?Quote from intradaybill:
Example: fair coin toss. You make $2 with heads and lose $1 with tails.
Expectancy is $0.5
If you start with only $2 your probability of ruin is 0.25 right away and 0.9999 in the next 100 tosses or so.
If you start with $10, your starting probalility of ruin is (0.5)^10, very low and in the next 100 tosses it is only 0.04 (don't ask me how I got that).
What if you have only 4 consecutive losses that brings you to $6(point of capital path), what is the change in prob(ruin) for the next 100 tosses?
Quote from jimbojim:
Edit: as I said the calculated probability happens to be the correct number but the formulation of the program is cranky. You have to find a function for that probability where n, the number of trials, is the independent variable. Then you are allowed to set n equal to infinity at the limit to calculate the probability of failure to reach some target T, given starting C, before falling to X.
You haven't done that.