How many steps are needed to reach 12 from 0 in a probabilistic sequence?

In summary, the binomial distribution gives the expected number of steps to reach a certain level, based on the probability of reaching that level.
  • #1
MATHias1
2
0
Hello,

I would like to ask, if I am right with my computation.

Let´s have a set of integers from 0 to 12. We start at 0 and we can go to 1 with the probability 1. From 1 we can go to 1 or back to 0, both with probability 0.5. When we start at zero, how many steps (exp. number of them) do we need to go until 12?

My way of solving:

We start at 0 ... there is only one possibity - to go to the 1 with probability 1
From 1, we can go to the 0 (P=$\frac{1}{2}$) or to the 2 (P=$\frac{1}{2}$)
From 2, we can go back to the 1(P=$\frac{1}{2}$), or forwards to the 3(P=$\frac{1}{2}$) ... but when we start at 0, there is the probability to reach 3(P=${\frac{1}{2}}^{2}$).
etc.

So, I created a binomial distribution:
From 0 to 1: 1 step; prob. 1 ... 1*1
From 0 to 2: 2 steps; prob. ${12 \choose 1}*\frac{1}{2}^{1}*{\frac{1}{2}}^{11}$
From 0 to 3: 3 steps; prob. ${12 \choose 2}*{\frac{1}{2}}^{2}*{\frac{1}{2}}^{10}$
...
From 0 to 11: 11 steps; prob. ${12 \choose 10}*{\frac{1}{2}}^{10}*{\frac{1}{2}}^{2}$
From 0 to 12: 12 steps; prob. ${12 \choose 11}*{\frac{1}{2}}^{11}*{\frac{1}{2}}^{1}$

And now, to get the whole expected value, I need to sum all the expected values:
$1*1+12*2(steps)*\frac{1}{2048}+66*3\frac{1}{2048}+220*4\frac{1}{2048}+495*5\frac{1}{2048}+792*6*\frac{1}{2048}+924*7*\frac{1}{2048}+792*8*\frac{1}{2048}+495*9*\frac{1}{2048}+220*10*\frac{1}{2048}+66*11*\frac{1}{2048}+12*12*\frac{1}{2048}$.

The sum is 15353/1024 = 14.9932 steps. I think it is too low number. Can I ask, where I am not doing right?

Thank you a lot.

Have a nice day.
 
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  • #2
You could, of course, go from 0 directly to 12 in exactly 12 steps! The probability of that is [tex](1/2)^{11}[/tex]. Or, you could, exactly once, go a step back. In that case, ignoring the first step from 0 to 1, you would have 13 steps, "x" steps up to that point, then one step back, then one step to get back to that point, then the remaining 13- x steps for a total x+ 2+ 13- x= 13 steps. The probability of that is [tex](1/2)^{13}[/tex]. Now do the same if we go back twice: either at two different steps or twice at the same step. Each step backwards adds 2 steps to the total so going back twice gives a total of 15 steps. And those steps have probability 1/2 so the probability is [tex](1/2)^{15}[/tex]. In general, there can be any even number of steps or, ignoring the first step, any odd number of steps. For 2n+ 1 steps The probability is [tex](1/2)^{2n+1}[/tex]. The expected value is given by the infinite sum [tex]\sum_{n= 0}^\infty(2n+1)(1/2)^{2n+1}[/tex]. To sum that factor out a 1/2 so it becomes [tex]\frac{1}{2}\sum_{n=0}^\infty (2n+1)(1/2)^{2n}[/tex]. Notice that [tex](2n+1)x^{2n}[/tex] is the derivative of [tex]x^{2n+1}[/tex] so we can do [tex]\sum_{n=0}^\inf (2n+1)x^{2n}[/tex] as the derivative of [tex]\sum_{n=0}^\infty x^{2n+ 1}= x\sum_{n=0}^\infty (x^2)^n[/tex]. That last sum is a geometric sum which has a simple closed form: [tex]x\frac{1}{1- x^2}[/tex] as long as |x|< 1. Here x= 1/2 so that formula applies and the derivative is [tex]\left(\frac{x}{1- x^2}\right)'= \frac{(1- x^2)- (-2x^2)}{1- x^2)^2}= \frac{1+ x^2}{(1- x^2)^2}[/tex]. For x= 1/2 that is [tex]\frac{1+ 1/4}{(1- 1/4)^2}= \frac{\frac{3}{4}}{\frac{9}{16}}= \frac{3}{4}\frac{16}{9}= \frac{4}{3}[/tex].
 
  • #3
This is an example of an absorbing Markov chain. By calculating the fundamental matrix for this problem, I found that in order to reach level 12 you have to spend an average of 2 steps at level 11, an average of 4 steps at level 10, 6 steps at level 9 and so on (two extra steps for each level as you go down) till you get to 20 steps at level 2, 22 steps at level 1 and 12 steps at level 0 (12 rather than 24 because from level 0 you have to go back to level 1). Therefore the expected total number of steps to reach level 12 is \[2+4+6+8 + \ldots + 22 + 12 = 144\] (considerably more than 14.9932!).
 
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  • #4
Yeah, I see. I had expected more complicated theory in that. Sometimes, it is just easier to draw a graphics to see that. :) Thanks a lot to both of you. :)
 

FAQ: How many steps are needed to reach 12 from 0 in a probabilistic sequence?

What is the expected value of steps in scientific research?

The expected value of steps in scientific research refers to the average number of steps that are expected to be taken in order to achieve a specific outcome or result. These steps can include conducting experiments, analyzing data, and drawing conclusions.

How is the expected value of steps calculated?

The expected value of steps is calculated by multiplying the probability of each step by the number of steps and then summing them together. This takes into account the likelihood of each step occurring and provides an overall estimate of the number of steps that will be taken.

Why is the expected value of steps important in scientific research?

The expected value of steps is important in scientific research because it helps researchers plan and budget their time and resources. It also allows them to anticipate potential challenges and adjust their methods accordingly to reach their desired outcome.

Is the expected value of steps always accurate?

No, the expected value of steps is not always accurate. It is an estimate based on probabilities and can be affected by unforeseen variables or errors in the research process. However, it provides a useful framework for planning and conducting scientific research.

How can the expected value of steps be used to improve scientific research?

The expected value of steps can be used to improve scientific research by helping researchers identify potential roadblocks or inefficiencies in their methods. By understanding the expected number of steps, researchers can make adjustments to their approach in order to streamline their process and potentially reach their desired outcome more efficiently.

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