What is wrong with the "proof" for $\ln(2) =\frac{1}{2}\ln(2)$?

I have got a question which is as follows:

Is $\ln(2)=\frac{1}{2}\ln(2)$??

The following argument seems suggesting that the answer is yes:

We have the series $1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}+\cdots$ which has a mathematically determined value $\ln(2)=0.693$.

Now, let's do some rearrangement:

$$1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}+\frac{1}{5}-\frac{1}{6}+\frac{1}{7}-\frac{1}{8}+\frac{1}{9}-\frac{1}{10}+\frac{1}{11}-\frac{1}{12}......$$ $$ (1-\frac{1}{2})-\frac{1}{4}+(\frac{1}{3}-\frac{1}{6})-\frac{1}{8}+(\frac{1}{5}-\frac{1}{10})-\frac{1}{12}.......$$ $$\frac{1}{2}-\frac{1}{4}+\frac{1}{6}-\frac{1}{8}+\frac{1}{10}-\frac{1}{12}......$$ $$\frac{1}{2}(1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}+\frac{1}{5}-\frac{1}{6}+\frac{1}{7}-\frac{1}{8}+\frac{1}{9}-\frac{1}{10}+\frac{1}{11}-\frac{1}{12}......)$$

$$\frac{1}{2}\ln(2).$$


I know that mathematics can't be wrong, and I have done something wrong. But here is my question: where does the argument above go wrong?


Such regrouping of a series is just not guaranteed not to alter the limit or even preserve convergence.

It would be admissible if the series were absolutely convergent, that is the series of absolute values would converges. But, the current series does not converge absolutely.


Let's look at this as a bunch of finite terms getting longer and longer approaching infinity.

$A_1 = 1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}$

$A_2= 1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}+\frac{1}{5}-\frac{1}{6}+\frac{1}{7}-\frac{1}{8}$

$A_3 = 1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}+\frac{1}{5}-\frac{1}{6}+\frac{1}{7}-\frac{1}{8}+\frac{1}{9}-\frac{1}{10}+\frac{1}{11}-\frac{1}{12}$

And

$A_4 =1-\frac{1}{2}+\frac{1}{3}-\frac{1}{4}+\frac{1}{5}-\frac{1}{6}+\frac{1}{7}-\frac{1}{8}+\frac{1}{9}-\frac{1}{10}+\frac{1}{11}-\frac{1}{12}+\frac{1}{13}-\frac{1}{14}+\frac{1}{15}-\frac{1}{16}$

Now let's do our rearranging.

$A_1 = (1-\frac{1}{2})-\frac{1}{4}+(\frac{1}{3})$ where the $\frac{1}{3}$ is a bit of extra.

$A_2 = (1-\frac{1}{2})-\frac{1}{4}+(\frac{1}{3}-\frac{1}{6})-\frac{1}{8}+(\frac{1}{5}+\frac{1}{7})$ where $\frac{1}{5}+\frac{1}{7}$ is a bit of extra.

$A_3 =(1-\frac{1}{2})-\frac{1}{4}+(\frac{1}{3}-\frac{1}{6})-\frac{1}{8}+(\frac{1}{5}-\frac{1}{10})-\frac{1}{12} + (\frac 17 + \frac 19 + \frac 1{11})$ with $(\frac 17 + \frac 19 + \frac 1{11})$ extra.

$A_4 = (1-\frac{1}{2})-\frac{1}{4}+(\frac{1}{3}-\frac{1}{6})-\frac{1}{8}+(\frac{1}{5}-\frac{1}{10})-\frac{1}{12} + (\frac 17 + \frac 1{14}) - \frac{1}{16} + (\frac 19 + \frac 1{11} + \frac 1{13} + \frac 1{15})$ with $(\frac 19 + \frac 1{11} + \frac 1{13} + \frac 1{15})$ as extra.

Each time we rearrange we get more and more misplaced from higher spots.

Now it's tempting to say, well, if it's infinite we can rearrange forever and push of this misplacement forever as the misplacement starts at a higher and higher spot. So at infinity it will start infinitely late and that is ... never!

Well, it doesn't work that way. We can't "borrow" from infinity indefinitely. An easier example is $1-1+1-1+1-1+1-1+1....= 1 + (-1+1)+(-1+1)+..... = 1 + (1-1) + (1-1) + (1-1) + ..... = 1+1 + (-1 +1)+ (-1+1) + (-1+1) + .... = 2 + (1-1) + (1-1)+... = 3 + (-1+1)+ (-1+1)+...$. We we keep take the first term, switching the order of the rest, taking the second, switch the order of the rest, take the third, etc.

Obviously we are cheating. But how exactly?

Well.... The thing is, an infinite sum never actually arrives at a result. It simply approaches the result and gets infinitely closer and closer to the result the more terms we take. But if we rearrange the terms ... well, it's okay if we keep the terms more or less where they belong, but if we rearrange the terms so that terms that are supposed to occur further and further down the line and we are putting those terms closer and closer to the front where it doesn't "belong", then we are altering the "approach" very badly, and we are essentially "steering" the sum into an entirely wrong direction.


The series $\sum\limits_{k=1}^n\frac{(-1)^{k+1}}k$ is convergent but not absolutely convergent, i.e. the sum itself has a limit, but $\sum_{k=1}^\infty\left\lvert\frac{(-1)^{k+1}}{k}\right\rvert=+\infty$. Therefore, by Riemann-Dini theorem, for any extended real numbers $\alpha\le \beta\in\Bbb R\cup\{-\infty,\infty\}$ there is a bijective function $f:\Bbb N^+\to\Bbb N^+$ such that $$\alpha=\liminf_{n\to\infty}\sum_{k=1}^n \frac{(-1)^{f(k)}}{f(k)}\le\limsup_{n\to\infty}\sum_{k=1}^n \frac{(-1)^{f(k)}}{f(k)}=\beta$$

You happen to have described, more or less explicitly, a bijective function $f$ which goes well with $\alpha=\beta=\ln\sqrt2$, which happens to be the example(s) on Wikipedia too.


As others have pointed out, rearrangement is not allowed, so I will give you the most extreme case:

$$S=1-\frac12-\frac14-\frac16-\frac18+\frac13+\frac15+\frac17+\frac19+\frac1{11}+\frac1{13}+\dots$$

The general pattern is simple. Start at $1$. Then add up the even terms until the sum is less than $0$. Then add up the odd terms until the sum is more than $1$. Then add up the even terms until the sum is less than $0$ again...

Clearly if we repeat this process indefinitely, we have rearranged it so that the sum never converges and oscillates between $0$ and $1$.


In your new series

$$\left(\frac 11 - \frac 12\right) - \frac 14 + \left(\frac 13 - \frac 16\right) - \frac 18 + \left(\frac 15 - \frac 1{10}\right) - \frac 1{12} + \left(\frac 17 - \frac 1{14}\right) - \frac 1{16} \dots$$

Terms of the form $\frac{1}{2z - 1}$ occur 1/3 of the time instead of 1/2 the time like they do in the original series, so they are underweighted.

Terms of the form $\frac{1}{2z}$ occur 2/3 of the time instead of 1/2 the time like they do in the original series, so they are overweighted.

By changing the density at which those terms appear, you are effectively converting the sum from

$$\lim_{n \to \infty} \sum_{k = 1}^n \frac{1}{2k - 1} - \sum_{k = 1}^n \frac{1}{2k}$$

into

$$\lim_{n \to \infty} \sum_{k = 1}^{n \cdot 2/3} \frac{1}{2k - 1} - \sum_{k = 1}^{n \cdot 4/3} \frac{1}{2k}$$

which naturally gives a smaller value since the subtracted terms have increased density. If instead you rearrange the series without changing the density of the subseries, then you'll get an equal result.