When Does a Sequence of Uniform Random Variables Stop Decreasing?

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SUMMARY

The discussion revolves around the analysis of a sequence of independent and identically distributed (iid) random variables, X1, X2, ..., following a uniform distribution on (0,1). The primary focus is on determining when this sequence stops decreasing, defined by the random variable N, which is the first index where Xn is greater than or equal to Xn-1. Key results include the probability expressions P(X1 ≤ t, N=n) = t^(n-1)/(n-1)! - t^n/n! and P(X1 ≤ t, N pair) = 1 - exp(-t), along with the expected value E[N] = e. The discussion highlights the need for clarity in mathematical notation and the importance of using proper symbols for exponentiation.

PREREQUISITES
  • Understanding of uniform distribution and its properties
  • Familiarity with independent and identically distributed (iid) random variables
  • Knowledge of probability theory, specifically related to sequences and stopping times
  • Proficiency in mathematical notation, particularly exponentiation and factorials
NEXT STEPS
  • Study the concept of stopping times in probability theory
  • Learn about the properties of uniform distributions and their applications
  • Explore induction proofs in mathematical contexts
  • Investigate the use of series expansions in probability calculations
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Students and researchers in statistics, mathematicians focusing on probability theory, and anyone interested in the behavior of random sequences and their stopping criteria.

Dassinia
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Hi, I'm trying to solve this exercise but I really don't know how
1. Homework Statement

Let X1, X2,.. be a sequence of iid random variables following a uniform distribution on (0,1). Define the random variable N≥2 as the first point in which the sequence (X1,X2,...) stops decreasing. i.e If N=n :
X1[PLAIN]http://www.ilemaths.net/img/smb-bleu/supegal.gifX2[PLAIN]http://www.ilemaths.net/img/smb-bleu/supegal.gif...[PLAIN]http://www.ilemaths.net/img/smb-bleu/supegal.gifXn-1<Xn

For 0[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gift[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gif1 show that

1. P(X1[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gift,N=n)=tn-1/(n-1)! - tn/(n)!
2.P(X1[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gift,N pair)=1-exp(-t) use series expansion of exp(t)+exp(-t) et exp(t)-exp(-t)
3. E[N]=e

Homework Equations

The Attempt at a Solution


I solved the third one
For the first one, I think that we have to use induction proof, but I don't see how to do that here ?
Thanks
 
Last edited by a moderator:
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Dassinia said:
Hi, I'm trying to solve this exercise but I really don't know how
1. Homework Statement

Let X1, X2,.. be a sequence of iid random variables following a uniform distribution on (0,1). Define the random variable N≥2 as the first point in which the sequence (X1,X2,...) stops decreasing. i.e If N=n :
X1[PLAIN]http://www.ilemaths.net/img/smb-bleu/supegal.gifX2[PLAIN]http://www.ilemaths.net/img/smb-bleu/supegal.gif...[PLAIN]http://www.ilemaths.net/img/smb-bleu/supegal.gifXn-1<Xn

For 0[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gift[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gif1 show that

1. P(X1[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gift,N=n)=tn-1/(n-1)! - tn/(n)!
2.P(X1[PLAIN]http://www.ilemaths.net/img/smb-bleu/infegal.gift,N pair)=1-exp(-t) use series expansion of exp(t)+exp(-t) et exp(t)-exp(-t)
3. E[N]=e

Homework Equations

The Attempt at a Solution


I solved the third one
For the first one, I think that we have to use induction proof, but I don't see how to do that here ?
Thanks

For the first one, try out some simple cases first: do it for n = 2, n = 3, etc. You will soon see how to do the general case.

What you wrote for 1) is wrong: you say
P(X_1 \leq t, N=n) = tn - \frac{1}{(n-1)!} - \frac{tn}{n!}
when your expression is parsed using standard mathematical rules. I suspect you might have meant
\frac{t^{n-1}}{(n-1)!} - \frac{t^n}{n!}
In that case, you MUST use "^" signs and parentheses: tn means ##t \times n##, but t^n means ##t^n##. Similarly, t^n-1 means ##t^n - 1##, but t^(n-1) means ##t^{n-1}##.

Finally, I do not understand what "X1 ≤ t, N pair" means---that is, what is "N pair"?
 
Last edited by a moderator:

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