Root test proof using Law of Algebra

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Homework Statement
Please see below
Relevant Equations
Please see below
For this problem,
1716961243221.png

My solution is
If ##c < 1##, then let a be a number such that ##c < a < 1 \implies c < a##. Thus for some natural number such that ##n \geq N##

##|x_n|^{\frac{1}{n}} < a## is the same as ## |x_n| < a^n##

By Law of Algebra, one can take the summation of both sides to get,

##\sum_{n = N}^{\infty} |x_n| < \sum_{n = N}^{\infty} a^n## where ##\sum_{n = N}^{\infty} a^n## is by definition a geometric series with ##0 < a < 1## and therefore is convergent.

Since the geometric series is convergent, then by the comparison test, ##\sum_{n = 1}^{\infty} x_n## is absolutely convergent

Now for we consider ##c = 1## case,

Since ##|x_n|^{\frac{1}{n}} > 1## is the same as ##|x_n| > 1^n = 1##

But, ##|x_n| > 1## for all ##n \geq N## which is means that ##\lim_{n \to \infty} |x_n| \neq 0## or that ##\lim_{n \to \infty} x_n \neq 0##

Therefore, by divergence test, ##\sum_{n = 1}^{\infty} x_n## is divergent

Does someone please know whether this is please correct?

I have a doubt whether we are allowed to use the law of algebra for taking the summation of both sides of the inequality, however, I think we can do that since summation it is just a operation (function that takes input, in this case a formula for the nth term, and produces output, in this case alot of numbers) like addition, subtraction etc.

Thanks!
 
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For finitely many terms, the ordering remains strict, but for series, the ordering is nonstrict in general. Otherwise, yes, comparison with geometric series is sufficient here.
 
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ChiralSuperfields said:
Homework Statement: Please see below
Relevant Equations: Please see below

For this problem,
View attachment 346155
My solution is
If ##c < 1##, then let a be a number such that ##c < a < 1 \implies c < a##. Thus for some natural number such that ##n \geq N##

##|x_n|^{\frac{1}{n}} < a## is the same as ## |x_n| < a^n##

You can, and should, make this much more precise.

Suppose first that [itex]c < 1[/itex], and set [itex]\epsilon = (1 - c)/2 > 0[/itex]. Then by convergence of [itex]|x_n|^{1/n}[/itex] to [itex]c[/itex] there exists [itex]N \in \mathbb{N}[/itex] such that for all [itex]n > N[/itex] we have [tex]|x_n|^{1/n} < c + \epsilon = \frac{c + 1}{2} \equiv a < 1.[/tex] (This explains exactly the rrelationship between [itex]N[/itex] and [itex]a[/itex], and why they both exist.)

It follows that for [itex]n > N[/itex] each term of [itex]\sum_{x=N+1}^\infty |x_n|[/itex] is less than the corresponding term of a convergent geometric series, so [itex]\sum_{n=1}^\infty x_n[/itex] converges absolutely.

(It is true, and at this level trivial, that if [itex]a_k < b_k[/itex] for [itex]k = 1, \dots, K[/itex] then [tex]
\sum_{k=1}^K a_k < \sum_{k=1}^K b_k.[/tex] Summing the geometric series using [tex]
a^{K} - 1 = (a - 1)(a^{K-1} + \dots + a + 1)[/tex] before taking the limit [itex]K \to \infty[/itex] avoids any possible difficulty.)

Now for we consider ##c = 1## case,

The case [itex]c = 1[/itex] is inconclusive: consider [itex]\sum_n n^2[/itex] and [itex]\sum_n \frac1{n^2}[/itex].

You have not dealt with the case [itex]c > 1[/itex].
 
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nuuskur said:
For finitely many terms, the ordering remains strict, but for series, the ordering is nonstrict in general. Otherwise, yes, comparison with geometric series is sufficient here.
pasmith said:
You can, and should, make this much more precise.

Suppose first that [itex]c < 1[/itex], and set [itex]\epsilon = (1 - c)/2 > 0[/itex]. Then by convergence of [itex]|x_n|^{1/n}[/itex] to [itex]c[/itex] there exists [itex]N \in \mathbb{N}[/itex] such that for all [itex]n > N[/itex] we have [tex]|x_n|^{1/n} < c + \epsilon = \frac{c + 1}{2} \equiv a < 1.[/tex] (This explains exactly the rrelationship between [itex]N[/itex] and [itex]a[/itex], and why they both exist.)

It follows that for [itex]n > N[/itex] each term of [itex]\sum_{x=N+1}^\infty |x_n|[/itex] is less than the corresponding term of a convergent geometric series, so [itex]\sum_{n=1}^\infty x_n[/itex] converges absolutely.

(It is true, and at this level trivial, that if [itex]a_k < b_k[/itex] for [itex]k = 1, \dots, K[/itex] then [tex]
\sum_{k=1}^K a_k < \sum_{k=1}^K b_k.[/tex] Summing the geometric series using [tex]
a^{K} - 1 = (a - 1)(a^{K-1} + \dots + a + 1)[/tex] before taking the limit [itex]K \to \infty[/itex] avoids any possible difficulty.)



The case [itex]c = 1[/itex] is inconclusive: consider [itex]\sum_n n^2[/itex] and [itex]\sum_n \frac1{n^2}[/itex].

You have not dealt with the case [itex]c > 1[/itex].
fresh_42 said:
Here is an essay about series:
https://www.physicsforums.com/insights/series-in-mathematics-from-zeno-to-quantum-theory/

Maybe you can find some interesting aspects.
Thank you for your replies @nuuskur , @pasmith and @fresh_42!

I found a similar solution online for the proof for ##c > 1##
1718651856339.png


However, I'm confused why they did ##\left|\sqrt[n]{\left|x_n\right|}-c\right| = -(\sqrt[n]{\left|x_n\right|}-c)<c-1## where ##\epsilon = c - 1##. Why did they not consider ##\sqrt[n]{\left|x_n\right|}-c<c-1##. I.e does someone please know why they only consider a specific absolute value expansion?

Thanks!
 
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They want a lower bound on [itex]|x_n|[/itex], in order to prove that the series diverges. The upper bound is irrelevant.
 
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  • #7
The root test can be conducted for the quantity ##c:=\limsup \sqrt[n]{|x_n|}##. The advantage being, this quantity always exists, whereas the limit itself need not exist. If ##c>1##, then ##c>1+\delta## infinitely often, hence the general term of the series cannot possibly converge to zero.

Also also, if the ratio test yields ##1##, then the root above will also yield ##1##.
 
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FAQ: Root test proof using Law of Algebra

What is the Root Test in the context of series convergence?

The Root Test is a method used to determine the convergence or divergence of an infinite series. It involves examining the nth root of the absolute value of the terms in the series. Specifically, for a series Σa_n, we compute the limit L = lim (n→∞) (|a_n|)^(1/n). If L < 1, the series converges; if L > 1, the series diverges; and if L = 1, the test is inconclusive.

How does the Law of Algebra apply to the Root Test?

The Law of Algebra allows us to manipulate the terms of the series to simplify the process of applying the Root Test. For instance, if a_n can be expressed as a product or quotient of simpler sequences, we can apply the Root Test to each component separately. This helps in determining the limit L by breaking down complex terms into more manageable parts.

Can you provide an example of applying the Root Test using the Law of Algebra?

Consider the series Σ(1/n^2). We can express the terms as a_n = 1/n^2. To apply the Root Test, we calculate L = lim (n→∞) (|a_n|)^(1/n) = lim (n→∞) (1/n^2)^(1/n) = lim (n→∞) 1/n^(2/n). As n approaches infinity, 2/n approaches 0, and thus n^(2/n) approaches 1. Therefore, L = 1, which is inconclusive. However, we can apply the Law of Algebra to recognize that Σ(1/n^2) is a p-series with p = 2, which converges.

What happens if the Root Test is inconclusive?

If the Root Test yields L = 1, the test is inconclusive, meaning we cannot determine convergence or divergence from this test alone. In such cases, it is often necessary to apply other convergence tests, such as the Ratio Test, Comparison Test, or Integral Test, to analyze the series further.

Are there any limitations to using the Root Test?

Yes, the Root Test has its limitations. It is most effective for series where the terms can be expressed in a form that allows for easy computation of the nth root. Additionally, if the limit L is equal to 1, the test does not provide any information about convergence or divergence. Therefore, it should be used in conjunction with other tests for a comprehensive analysis of series behavior.

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