Is Proving (ii) Implies (i) in Limit Theorems Trivial?

In summary: If x_n is unbounded, then \frac{x_n}{b_n} and \frac{\max_{k \leq n}x_k}{b_n} will diverge as n approaches infinity.
  • #1
mathstatnoob
3
0

Homework Statement


The lemma below is from Sample-Path Analysis of Queueing Systems by El-Taha and Stidham Jr.

Lemma 2.10
Let [itex]\{x_n, n \geq 1\}[/itex] be a sequence of non-negative real numbers and [itex]\{b_n, n \geq 1\}[/itex] a non-decreasing sequence of real numbers such that [itex]b_n \rightarrow \infty[/itex] as [itex]n \rightarrow \infty[/itex]. Then the following are equivalent:

(i)[itex]b_n^{-1}x_n \rightarrow c[/itex] as [itex]n \rightarrow \infty[/itex];
(ii)[itex]b_n^{-1}\max_{k \leq n}x_k \rightarrow c[/itex] as [itex]n \rightarrow \infty[/itex].

The authors claim that proving statement (ii) implies statement (i) is trivial and leave no proof (they do go on to prove (i) implies (ii)). However, "trivial" is a subjective term. I'm trying to provide a proof that (ii) implies (i), but I get stuck.

2. Attempt at a solution
Let [itex]\epsilon > 0[/itex]. It follows from the hypothesis that there exists an [itex]N_0[/itex] such that if [itex]n > N_0[/itex], then [itex]c-\epsilon < b_n^{-1}\max_{k \leq n}x_k < c+\epsilon[/itex].

Since [itex]b_n \rightarrow \infty[/itex] as [itex]n \rightarrow \infty[/itex],there exists an [itex]N_1[/itex] such that if [itex]n > N_1[/itex], then [itex]b_n > 0[/itex] which implies [itex]b_n^{-1} > 0[/itex] which then implies [itex]b_n^{-1}x_n \leq b_n^{-1}\max_{k \leq n}x_k[/itex].

So let [itex]N=\max\{N_0,\, N_1\}[/itex]. If [itex]n > N[/itex], then [itex]b_n^{-1}\max_{k \leq n}x_k < c+\epsilon[/itex]. Hence [itex]b_n^{-1}x_n < c+\epsilon[/itex]. Now either (a) [itex]c-\epsilon < b_n^{-1}x_n[/itex], or (b) [itex]b_n^{-1}x_n \leq c-\epsilon[/itex]. If case (a) is true, then [itex]c-\epsilon < b_n^{-1}x_n < c+\epsilon[/itex] whenever [itex]n > N[/itex]. Regarding case (b)...

...and this is where I get stuck. My guess is case (b) leads to some contradiction, but I'm not sure how to obtain one. Any suggestions or specific references to look at? Or if there's a simpler way to show that (ii) implies (i), I'm all ears. Thanks!
 
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  • #2
Welcome to PF, mathstatnoob!

I'm not sure, but I think breaking the proof into two cases may help, one if [itex] x_n [/itex] is bounded and the other if it is unbounded.

What does [itex] 1/b_n [/itex] converge to? Consequently what do [itex]\frac{x_n}{b_n}[/itex] and [itex]\frac{\max_{k \leq n}x_k}{b_n}[/itex] converge to in the first case?

In the second case, I think you can use the unboundedness of [itex] x_n [/itex] to show (i) and (ii) are equivalent.

Hope this helps!
 
  • #3
spamiam said:
Welcome to PF, mathstatnoob!

I'm not sure, but I think breaking the proof into two cases may help, one if [itex] x_n [/itex] is bounded and the other if it is unbounded.

What does [itex] 1/b_n [/itex] converge to? Consequently what do [itex]\frac{x_n}{b_n}[/itex] and [itex]\frac{\max_{k \leq n}x_k}{b_n}[/itex] converge to in the first case?

In the second case, I think you can use the unboundedness of [itex] x_n [/itex] to show (i) and (ii) are equivalent.

Hope this helps!
Thanks for your input, spamiam.

So in the case when [itex]x_n[/itex] is bounded, both [itex]\frac{x_n}{b_n}[/itex] and [itex]\frac{\max_{k \leq n}x_k}{b_n}[/itex] approach 0 as [itex]n[/itex] approaches infinity. I showed this by employing the squeeze theorem. Let me think about the case when [itex]x_n[/itex] is unbounded a bit more (I just wanted to quickly acknowledge your suggestion).
 

FAQ: Is Proving (ii) Implies (i) in Limit Theorems Trivial?

What is the limit theorem involving maximum?

The limit theorem involving maximum, also known as the extreme value theorem, states that if a continuous function is defined on a closed interval, then it must have both a maximum and minimum value on that interval.

How is the limit theorem involving maximum used in statistics?

In statistics, the limit theorem involving maximum is used to determine the probability of extreme events occurring. It helps in understanding the distribution of the maximum value of a sample and making predictions based on that information.

What is the difference between the limit theorem involving maximum and minimum?

The limit theorem involving maximum and minimum are two different concepts. The maximum theorem states that a continuous function must have a maximum value on a closed interval, while the minimum theorem states that a continuous function must have a minimum value on a closed interval.

Can the limit theorem involving maximum be used for non-continuous functions?

No, the limit theorem involving maximum can only be applied to continuous functions. For non-continuous functions, different methods must be used to determine the maximum value on a given interval.

How does the limit theorem involving maximum relate to real-world scenarios?

The limit theorem involving maximum has various real-world applications, such as in finance and risk management. It is used to understand and predict extreme events, such as stock market crashes or natural disasters, and to make informed decisions based on the maximum value of a sample.

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