Show that the series converges

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In summary, the conversation discusses how to show the convergence of a series in the field $\mathbb{Q}_p$ using the Cauchy Criterion. It is explained that the sequence of partial sums must be Cauchy, and this can be proven by showing that for any $\epsilon > 0$, there exists an $n_0$ such that for all $N$ and $k$ with $N > k \ge n_0$, the maximum of the elements in the series is less than $\epsilon$. The conversation also mentions that this result can be generalized using topology, where $\mathbb{Q}_p$ is seen as the metric completion of $\mathbb{Q}$ under the norm $|\bullet|
  • #1
evinda
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Hello! (Wave)

How can I show that in the field $\mathbb{Q}_p$ stands the following? (Thinking)

If $\{ a_n \}_{n \in \mathbb{N}}$ a sequence of elements in $\mathbb{Q}_p$ and $\lim_{n \to \infty} a_n=0$, then the series $\sum_{n=1}^{\infty} a_n$ converges.
 
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  • #2
evinda said:
Hello! (Wave)

How can I show that in the field $\mathbb{Q}_p$ stands the following? (Thinking)

If $\{ a_n \}_{n \in \mathbb{N}}$ a sequence of elements in $\mathbb{Q}_p$ and $\lim_{n \to \infty} a_n=0$, then the series $\sum_{n=1}^{\infty} a_n$ converges.

Let $\varepsilon > 0$. Choose $n_0$ such that $|a_n|_p < \varepsilon$ for all $n \ge n_0$. Then for all $N$ and $k$ with $N > k \ge n_0$,

\(\displaystyle \left|\sum_{n = k}^N a_n\right|_p \le \max\{|a_k|_p,|a_{k+1}|_p,\ldots, |a_N|_p\} < \varepsilon\)

What can you deduce from this?
 
  • #3
Euge said:
Let $\varepsilon > 0$. Choose $n_0$ such that $|a_n|_p < \varepsilon$ for all $n \ge n_0$. Then for all $N$ and $k$ with $N > k \ge n_0$,

\(\displaystyle \left|\sum_{n = k}^N a_n\right|_p \le \max\{|a_k|_p,|a_{k+1}|_p,\ldots, |a_N|_p\} < \varepsilon\)

What can you deduce from this?

Could you explain me why we take the sum from $n=k$ till $n=N$ ? (Thinking)
 
  • #4
evinda said:
Could you explain me why we take the sum from $n=k$ till $n=N$ ? (Thinking)

The point is to show that the sequence of partial sums of the series \(\displaystyle \sum_{n = 1}^\infty a_n\) is Cauchy in \(\displaystyle \Bbb Q_p\).
 
  • #5
Euge said:
The point is to show that the sequence of partial sums of the series \(\displaystyle \sum_{n = 1}^\infty a_n\) is Cauchy in \(\displaystyle \Bbb Q_p\).

So is it like that? (Thinking)
From $\lim_{n \to +\infty} a_n=0$ we get that , $\forall \epsilon>0 \ \exists n_0$ such that $\forall n \geq n_0$: $|a_n|_p< \epsilon$. Then , $\forall N>k \geq n_0$, we have:

$$\left |\sum_{n=1}^N a_n-\sum_{n=1}^k a_n \right |_p=\left | \sum_{n=k}^N a_n\right |_p \leq \max \{ |a_k|_p, |a_{k+1}|_p, \dots, |a_N|_p \}< \epsilon$$

Then , knowing that the sequence of partial sums of the infinite series converges in $\mathbb{Q}_p$,
from the Cauchy Criterion, we have that the infinite series converges in $\mathbb{Q}_p$.

(Thinking)
 
  • #6
evinda said:
So is it like that? (Thinking)
From $\lim_{n \to +\infty} a_n=0$ we get that , $\forall \epsilon>0 \ \exists n_0$ such that $\forall n \geq n_0$: $|a_n|_p< \epsilon$. Then , $\forall N>k \geq n_0$, we have:

$$\left |\sum_{n=1}^N a_n-\sum_{n=1}^k a_n \right |_p=\left | \sum_{n=k}^N a_n\right |_p \leq \max \{ |a_k|_p, |a_{k+1}|_p, \dots, |a_N|_p \}< \epsilon$$

Then , knowing that the sequence of partial sums of the infinite series converges in $\mathbb{Q}_p$,
from the Cauchy Criterion, we have that the infinite series converges in $\mathbb{Q}_p$.

(Thinking)

That's good, but there are two small errors. The expression $|\sum_{n = k}^N a_n|_p$ should be $|\sum_{n = k+1}^N a_n|_p$, and so $|a_k|_p$ should be omitted in $\max\{|a_k|_p, |a_{k+1}|_p,\ldots, |a_N|_p\}$.
 
  • #7
Euge said:
That's good, but there are two small errors. The expression $|\sum_{n = k}^N a_n|_p$ should be $|\sum_{n = k+1}^N a_n|_p$, and so $|a_k|_p$ should be omitted in $\max\{|a_k|_p, |a_{k+1}|_p,\ldots, |a_N|_p\}$.

Nice, thank you very much! (Smirk)
 
  • #8
I should add here that this property can readily be generalized using a little topology. Not only this sequence you mention converge in $\mathbf{Q}_p$, but in fact all Cauchy sequence does, i.e., $\mathbf{Q}_p$ is a *complete* metric space.

To see how actually this happens, you need to see that $\mathbf{Q}_p$ can be realized as a metric completion of $\mathbf{Q}$ under the norm $|\bullet|_p$, instead of seeing it just as $\text{frac} \, \mathbf{Z}_p$, $\mathbf{Z_p}$ being $\lim \limits_{\longleftarrow} \mathbb{Z}/p^i$. The algebraic and topological definitions are indeed "isomorphic" in some sense but that requires some work (you can try it if you want)

Completion of a metric space $(X, d)$ in general is defined by adjoining to $X$ the limits of it's Cauchy sequence, denoted as $\overline{X}$. This is almost nearly (but not quite) obvious to see that $\overline{X}$ is complete, if you know a bit of point-set topology.

Note : This is merely a comment, not an answer to the original question asked.
 

Related to Show that the series converges

1. How do you determine if a series converges?

To determine if a series converges, you can use various tests such as the ratio test, comparison test, or integral test. These tests involve evaluating the limit of the series or comparing it to a known convergent or divergent series.

2. What is the difference between absolute and conditional convergence?

Absolute convergence refers to a series that converges regardless of the order of its terms, while conditional convergence means that the series only converges when its terms are arranged in a specific order.

3. Can a series diverge even if its terms approach zero?

Yes, a series can still diverge even if its terms approach zero. This is because the terms may not approach zero quickly enough to ensure convergence.

4. What is the importance of the nth term test for divergence?

The nth term test for divergence is used to determine if a series diverges by checking if the limit of the series' terms is equal to zero. If the limit is not zero, then the series must diverge. This test is important in identifying divergent series and can save time in evaluating series that are known to diverge.

5. How can mathematical series be applied in real-life situations?

Mathematical series can be used to model various real-life situations such as population growth, compound interest, and even the behavior of sound waves. They are also used in various fields of science, including physics, chemistry, and biology, to analyze and predict data.

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