Convergence of Cesáros Mean: Proving the Limit of a Sequence

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In summary, the conversation is discussing a proof involving the convergence of a number sequence and a defined sequence. The main point is to show that if the first sequence converges to 0, then the second sequence also converges to 0. The tricky part is that some elements of the first sequence may be larger than the given epsilon, but by making n arbitrarily large, the second sequence will still converge to 0. The proof involves finding N1 and N2 and using the definition of convergence.
  • #1
Beowulf2007
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Convergens of Cesáros mean(Urgent).

Homework Statement



I need to show the following:

(1) Let number sequence be given called [tex]\{\alpha_{n}\}_{n=1}^{\infty}[/tex] for which [tex]\alpha_{n} \rightarrow 0[/tex] where [tex]n \rightarrow \infty[/tex].

(2) Given a sequence [tex]\{\beta_{n}}\}_{n=1}^{\infty}[/tex] which is defined as [tex] \beta_{n}= \frac{\alpha_{1} + \alpha_{2} + \cdots + \alpha_{n}}{n}[/tex]

If (1) is true then [tex] \beta_{n} \rightarrow 0[/tex] for [tex]n \rightarrow 0[/tex] is likewise true.

The Attempt at a Solution



The definition of convergens says (according to my textbook)

[tex]\forall \epsilon > 0 \exists N \in \mathbb{N} \forall n \in \mathbb{N}: n \geq N \Rightarrow |a_{n} - a| < \epsilon[/tex]

If I use that on part 1 of (1) then

[tex]|\alpha_{n} - 0| < \epsilon[/tex] [tex]\forall n \in \mathbb{N}[/tex] thus [tex]\alpha_{n}[/tex] converges.

Regarding part (2).

I get the inequality [tex]|\beta_{n}| < \epsilon[/tex] from the definition.

Am I missing something here?

Best Regards
Beowulf
 
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  • #2
The tricky part is, [itex]\alpha_k[/itex] can be > [itex]\epsilon[/itex] for k < N. (For example, [itex]\alpha_1[/itex] can be = 1,000,000[itex]\epsilon[/itex].) You need to argue "I can make n arbitrarily large, thus..."
 
  • #3
EnumaElish said:
The tricky part is, [itex]\alpha_k[/itex] can be > [itex]\epsilon[/itex] for k < N. (For example, [itex]\alpha_1[/itex] can be = 1,000,000[itex]\epsilon[/itex].) You need to argue "I can make n arbitrarily large, thus..."

Hi an Thank You for Your reply.

I can see if I make n large then epsilon will have to be very small. Is the point that epsilon can only be larger than [itex]\alpha_n[/itex] if n becomes extremely small?

Sincerely Yours
BeoWulf
 
  • #4
Beowulf2007 said:
I can see if I make n large then epsilon will have to be very small.
You are starting with a given epsilon. The first k alphas may be larger than epsilon, so they'll make a large beta (if n were a constant). You have to see that, then argue: "this is not a problem, because I can make n arbitrarily large, which will make beta_n arbitrarily small."

Is the point that epsilon can only be larger than [itex]\alpha_n[/itex] if n becomes extremely small?
[itex]\epsilon > \alpha_n[/itex] for n arbitrarily LARGE.
 
  • #5
EnumaElish said:
You are starting with a given epsilon. The first k alphas may be larger than epsilon, so they'll make a large beta (if n were a constant). You have to see that, then argue: "this is not a problem, because I can make n arbitrarily large, which will make beta_n arbitrarily small."

[itex]\epsilon > \alpha_n[/itex] for n arbitrarily LARGE.

So the that for any epsilon, if n is arbitrary larger then Beta_n will stay small and will therefore tend to zero? And that is simply the proof?

BR

Beowulf
 
  • #6
Intuition: We are really taking finite means and then letting them go off to infinity. Now, eventually a_n becomes very close to zero and will always stay that close for any n afterwards (this is just convergence). But as we go off into infinity these a_ns get so close to zero, and there are so many of them, that they 'pull most of the mean' towards them.

Anyways, this is a tricky problem. But I'll start you off. Let epsilon>0. Since a_n->0 find N1 that works with epsilon/2. Then for all n>N1

b_n-0=a_1/n+a_2/n+...+a_N1/n + a_(N1+1)/n +...+a_n/n. Now the first N1 sums of b_n go to zero as n->infinity. Hence there exists an N2 such that whenever n>N2 |a_1/n+a_2/n+...+a_N1/n-0|<epsilon/2.

You should be able to finish this off. Man, I should have latexed this.
 

FAQ: Convergence of Cesáros Mean: Proving the Limit of a Sequence

What is the definition of the Convergence of Cesáros mean?

The Convergence of Cesáros mean is a mathematical concept that describes the average behavior of a series of numbers by taking the arithmetic mean of its partial sums. In simpler terms, it is a way to determine if a series of numbers is approaching a specific value or if it is diverging towards infinity.

How is the Convergence of Cesáros mean calculated?

The Convergence of Cesáros mean is calculated by taking the arithmetic mean of the first n partial sums of a series, where n is the number of terms in the series. This is represented by the notation Cn.

What is the difference between Convergence of Cesáros mean and Convergence of a series?

The main difference between Convergence of Cesáros mean and Convergence of a series is that while Convergence of a series determines if the series itself approaches a specific value, Convergence of Cesáros mean looks at the average behavior of the series. This means that a series could be diverging but its Convergence of Cesáros mean could still be converging.

How is the Convergence of Cesáros mean used in real-world applications?

The Convergence of Cesáros mean can be used in various fields, such as statistics, physics, and engineering, to analyze the behavior of a series of data. It can also be used to approximate the value of a divergent series by taking its Convergence of Cesáros mean.

What are some properties of the Convergence of Cesáros mean?

Some properties of the Convergence of Cesáros mean include:

  • If a series is absolutely convergent, its Convergence of Cesáros mean will also be absolutely convergent.
  • If a series is conditionally convergent, its Convergence of Cesáros mean may or may not be convergent.
  • If a series is divergent, its Convergence of Cesáros mean may still be convergent.
  • If a series is divergent but its partial sums are bounded, its Convergence of Cesáros mean will also be bounded.

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