Chance of random walk returning to origin

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Discussion Overview

The discussion revolves around the probability of a random walk returning to the origin on a number line, exploring both theoretical and mathematical aspects of the problem. Participants examine different probabilities associated with movement directions and consider implications of infinite sequences in probability theory.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that the probability of returning to the origin is 1 under equal movement probabilities (0.5 for left and right).
  • Others clarify that while the probability approaches 1 as steps increase, it does not imply certainty of return.
  • It is noted that if the probability of moving left differs from 0.5, the probability of returning to the origin decreases.
  • One participant calculates a specific return probability of approximately 71.57% to 71.58% when moving left with a 60% probability.
  • Questions arise regarding the computation of probabilities in infinite series of weighted coin tosses, particularly with a probability of heads at 0.7.
  • Some participants express uncertainty about the implications of infinite sequences and the concept of probability approaching zero for infinite strings of heads.
  • One participant mentions that the answer to the probability of returning to zero involves complex mathematics not typically covered at the undergraduate level.

Areas of Agreement / Disagreement

Participants express differing views on the implications of probabilities in random walks, particularly regarding the effect of unequal movement probabilities and the nature of infinite sequences. No consensus is reached on the exact probabilities or methods of calculation.

Contextual Notes

Limitations include the complexity of mathematical expressions involved in calculating probabilities for random walks and infinite sequences, as well as the dependence on specific definitions of probability in different contexts.

Loren Booda
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Starting out at zero on a number line and moving in succession one unit right or left at random, what is the probability that you will eventually return to zero?
 
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The answer is 1.
 
I guess that, in terms of limits, it approaches 1.

Thanks, adriank.
 
Well, probably 1 has a precise meaning, and that isn't that it is certain to happen. See almost surely on Wikipedia.

You are correct that the probability approaches one as you allow yourself to take more steps on the random walk.
 
yup , 1 it is
 
Assuming moving in each direction is done with probability 0.5, the probability is indeed 1. If the probability of moving left is different, the probability drops below 1.
 
CRGreathouse said:
If the probability of moving left is different, the probability drops below 1.

Note that it doesn't mean that if probability moving right is different, the probability raises above 1.

More seriously, if we are allowed to walk for ever probability of visiting any point approaches 1.
 
Borek said:
More seriously, if we are allowed to walk for ever probability of visiting any point approaches 1.

I don't think so. If you move left with 60% probability, I calculate the probability of return as between 71.57% and 71.58%. (Once you start going left, you risk never coming back.) You have a finite expected maximum excursion to the right in that case.
 
CRGreathouse said:
I don't think so. If you move left with 60% probability, I calculate the probability of return as between 71.57% and 71.58%. (Once you start going left, you risk never coming back.) You have a finite expected maximum excursion to the right in that case.

I meant when both directions are 50/50.
 
  • #10
Any ideas on how to compute the chance of an outcome in an infinite series of weighted coin-tosses?

ie, if my coin has a probability of .7 to land heads, what is the propability of an infinite string of tosses that are all heads?

k
 
  • #11
What is probability of H? HH? HHH?
 
  • #12
kenewbie said:
Any ideas on how to compute the chance of an outcome in an infinite series of weighted coin-tosses?

ie, if my coin has a probability of .7 to land heads, what is the propability of an infinite string of tosses that are all heads?

If the probability of landing heads is less than 1, the probability of an infinite string of heads is 0. I'm not sure how to show this, though, since you don't require the string to start with the first flip (so no finite portion is sufficient to reject).
 
  • #13
Borek said:
What is probability of H? HH? HHH?

Sure, it approaches zero, I can agree with that.

CRGreathouse said:
If the probability of landing heads is less than 1, the probability of an infinite string of heads is 0.

I don't know how to do calculate a series yet (let alone infinite ones) but I have trouble wrapping my head around the IDEA of this. There must be some chance, however small? The argument that sooner or later it has to hit heads just smells funny. Rationally I see that it will hit zero if I try it, but if one imagine an infinite amount of infinite strings, then I can't see that there isn't room for one in which all are heads. In fact, there should be room for an infinite amount of all-heads strings.

k
 
  • #14
kenewbie said:
There must be some chance, however small?

I said that the probability was 0, not that it was impossible. Search Google (or the search engine of your choice) for "almost certain".

kenewbie said:
Rationally I see that it will hit zero if I try it, but if one imagine an infinite amount of infinite strings, then I can't see that there isn't room for one in which all are heads. In fact, there should be room for an infinite amount of all-heads strings.

Yes, there are an infinite number of all-heads strings (one for each zero-terminated finite string, plus one for the null string, all followed by infinitely many 1s). But this is a countable infinity in an uncountable ocean of endless strings. (If "countably infinite" and "uncountably infinite" are unknown to you, either search for this or ignore this point.)
 
  • #15
Hi!
the answer of this problem is not known yet. I know the answer if you are in a line at some point and you want to know the probability to return to 0 which can be written in terms of the hyperbolic sine by using really complicated mathematics (not for undergraduates).
 

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