Finiteness of a converging random number series

In summary, the conversation discussed the concept of a random point y approaching zero as x increases, with the question of whether the sum of the y-values would be finite. The conclusion was that the sum converges to x and the chance of divergence is very low.
  • #1
Loren Booda
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4
1. Imagine a positive point x not equal to zero.

2. Consider a randomly chosen point y with distance to zero less than x.

3. Let y=x. Repeat #2.

4. Is the sum of the y-values finite as y approaches zero?
 
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  • #2
Loren Booda said:
1. Imagine a positive point x not equal to zero.

2. Consider a randomly chosen point y with distance to zero less than x.

3. Let y=x. Repeat #2.

4. Is the sum of the y-values finite as y approaches zero?

For step three, it's supposed to be the other way around, right? x is supposed to equal y? Otherwise there's no reason for y to approach zero (or any other number).

I don't know if it always converges, but on average it converges to x (by "average" I mean that for any given random y value, the average of all choices is x/2, so y, on average, equals x/2).
 
  • #3
Hi, I understand this as follows: denote by ran(x) a random number between 0 and x. Let x1=ran(1), and let xi=ran(xi-1) for x>1.

Let S be the sum Ʃxi.

As noted above, the expected value of S is 1 (does require a very minor argument). The chance of the series not converging is 0. For example the chance of S>N must be less than 1/N, for the average sum to be 1, so the chance of divergence is less than 1/N for any positive N. (A small simulation shows that the chance of the sum exceeding 7 is about 1 in 10 million)
 
Last edited:
  • #4
Thanks kindly both of you for your information, which I am attempting to cogitate.
 
  • #5


I would first clarify that the term "converging random number series" refers to a sequence of numbers that approaches a fixed value as the number of terms increases. In this scenario, the sequence is generated by randomly choosing a point y with a distance to zero less than a given positive value x, and then repeating this process with y=x.

Based on this description, it appears that the sequence will converge to zero as y approaches zero. This is because the distance between y and zero decreases with each iteration, eventually reaching a value of zero. Therefore, the sum of the y-values will also approach zero as y approaches zero, making it finite.

However, it is important to note that the finiteness of the sum also depends on the number of iterations or terms in the sequence. If the sequence is infinite, the sum may still be finite, but it could also potentially approach infinity depending on the specific values of x and y. I would recommend further analysis and calculations to determine the exact behavior of the sequence and its sum in this scenario.
 

1. What does it mean for a random number series to converge?

Convergence in a random number series means that as the number of terms in the series increases, the values of the series approach a certain limit or value. This means that the series becomes more and more predictable and stable as more terms are added.

2. How do you determine the finiteness of a converging random number series?

The finiteness of a converging random number series can be determined by calculating the limit of the series as the number of terms approaches infinity. If the limit exists and is a finite number, then the series is finite. If the limit does not exist or is infinite, then the series is infinite.

3. What factors can affect the finiteness of a converging random number series?

The finiteness of a converging random number series can be affected by the initial values of the series, the pattern or distribution of the numbers, and the rate of convergence. In some cases, the series may also be affected by external factors such as external influences or random fluctuations.

4. Can a converging random number series be infinite?

No, a converging random number series cannot be infinite. If the series is converging, it means that the values are approaching a finite limit. An infinite series would have no limit and therefore cannot converge.

5. How is the finiteness of a converging random number series important in scientific research?

The finiteness of a converging random number series is important in scientific research as it allows for the prediction and analysis of future values in the series. This can be useful in various fields such as economics, physics, and statistics where predicting future trends and patterns is crucial.

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