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My professor gave $a_n=\frac{1}{n\log n}$ for $n \geq 2$ as such an example but I can't understand why this is true. I am more accepting that the series $\sum_{n=2}^{\infty}\frac{1}{n\log n}$ is actually convergent rather than divergent. Here is my reasoning:

Note that $\sum_{n=2}^{10}\frac{1}{n\log n}$ is some finite number.

Note that $\sum_{n=2}^\infty \frac{1}{n\log n} = \sum_{n=2}^{10}\frac{1}{n\log n} + \sum_{n=11}^{\infty}\frac{1}{n\log n}$.

But, $n\log n > n$ for $n>10$. I can let $n\log n =n^p$ where $p>1$. Then, using the p-series, $\sum_{n=11}^{\infty}\frac{1}{n\log n} = \sum_{n=11}^\infty \frac{1}{n^p}$ converges to some finite number.

Therefore, $\sum_{n=2}^\infty \frac{1}{n\log n} = \sum_{n=2}^{10}\frac{1}{n\log n} + \sum_{n=11}^\infty \frac{1}{n\log n}$ must converge. $\blacksquare$

My professor said this example was to give us an intuition that $p$-series will work for any $p>1$ even though $p=1.0000000000000001$, or $p$ is greater than $1$ by very very small amount.

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    "But, $n\log n>n$ for $n>10$. I can let $n\log n=n^p$ where $p>1$" No, that's wrong.2017-02-08
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    @ThomasR Or, at least, there is no _fixed_ $p$ that makes it right. For each $n$ there is a _specific_ $p$ that makes it true, but as $n$ grows, that $p$ comes closer and closer to $1$.2017-02-08
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    I know the statement is not an accurate one, but I wanted to say that I can have a series that is similar to a series that follows p-series test. What I really wanted to say was, $n\log n > n^p$ for some $p>1$, if I let $p>1$ by very very small amount. Then, it follows $\frac{1}{n^p} > \frac{1}{n\log n}$ and it implies $\frac{1}{n\log n}$ should be summable as well.2017-02-08

3 Answers 3

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Suppose that we agree $\ln(n)0$,

$$\ln(n^p)

But by log rules, this means

$$\ln(n)<\frac1pn^p$$

or,

$$\ln(n)<

For every $p>0$. I mean, sure, it's true that $n0$, but this does not mean the same thing as $n\ln(n)=n^p$.

Taking it along your lines, I could say that it grows slower than any $n^{1+p}$, thus it diverges by the p-series, but as we will find, this logic is still wrong.


To me, I find the Cauchy condensation test very intuitive:

$$\begin{align}S&=\frac1{2\log(2)}+\frac1{3\log(3)}+\frac1{4\log(4)}+\frac1{5\log(5)}+\dots\\&>\frac1{2\log(2)}+\frac1{4\log(4)}+\frac1{4\log(4)}+\frac1{8\log(8)}+\dots\end{align}$$

We replace every term with $2^n$ such that all terms will be smaller than or equal to the original. After doing that, we have one $2$, two $4$'s, four $8$'s, ..., $2^{n-1}$ amount of $2^n$'s. We can then simplify this into the next line:

$$\sum_{n=2}^\infty\frac1{n\log(n)}>\sum_{n=1}^\infty\frac{2^{n-1}}{(2^n)\log(2^n)}=\frac1{2\log(2)}\sum_{n=1}^\infty\frac1n$$

Now, it's not so hard to see that the series diverges by the p-series.


Lesson here? It diverges logarithmically slower than $\sum_{n=1}^\infty\frac1n$, which is why divergence was not obvious. Oddly, diverging "logarithmically slower" hides any obvious comparison to the p-series, as it lies somewhere between $\frac1n$ and $\frac1{n^{1+p}}$.


As a side note, a table of series involving logarithms and such:

$$\begin{array}{c|c}\text{diverges}&\text{converges}\\\hline\frac1{n\log(n)}&\frac1{n\log^2(n)}\\\frac1{n\log(\log(n))}&\frac{(-1)^n}{\log(n)}\\\frac1{\log(n!)}&\frac1{n\log^{1.1}(\log(n))}\end{array}$$

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    This was so helpful understanding the intuition of the problem. I recently learned the Cauchy condensation test and glad to see that it is being used here.2017-02-09
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    :D well no problem bringing it to you :-)2017-02-09
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For a fixed value of $n,$ you can chose $p>1$ so that $n\log n = n^p,$ but for the next value of $n$ you get a different value of $p$, and for the next you get yet another value of $p,$ and so on. The value of $p$ does not stay fixed as $n$ changes. That is the error in your argument.

An integral test handles this quickly: $$ \int \frac{dx}{x\log x} = \int \frac{du} u \text{ where } u = \log x \text{ and } du = \frac{dx} x. $$

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    Okay, using the integral test, $$\int_{2}^{\infty} \frac{dx}{x \log x} \implies$$ $$\lim_{b\to\infty}\log(\log(b))-\log(\log2)) = \infty$$ But it seems like even as $b\to\infty$, it diverges very very slowly. But it's still true that it diverges?2017-02-09
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    @user3000482 : Yes. If something diverges very slowly then it diverges.2017-02-09
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    Is $\log^k (n)$ will diverge for any $k$?2017-02-09
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If $n\log(n)=n^p$ for $n>10$ then $\log(n)=n^{p-1}$ for $n>10$, which is false. $\log(n)$ grows more slowly than any positive power of $n$.

To prove that $\sum\frac{1}{n\log n}$ diverges, you can use the integral test or Cauchy's condensation test.