In binary the one on the left is meaningless, and therefore the two cannot be compared. In any base in which they can be compared, the one on the left is smaller.
Fractional bases are weird, and I think there’s even competing standards. What I was thinking is that you can write any number in base n like this:
\sum_{k= -∞}^{∞} a_k * n^k
where a_k are what we would call the digits of a number. To make this work (exists and is unique) for a given positive integer base, you need exactly n different symbols.
For a base 1/n, turns out you also need n different symbols, using this definition. It’s fairly easy to show that using 1/n just mirrors the number around the decimal point (e.g. 13.7 becomes 7.31)
I am not very well versed in bases tho (unbased, even), so all of this could be wrong.
In binary the answer is good, which is fun
In binary the one on the left is meaningless, and therefore the two cannot be compared. In any base in which they can be compared, the one on the left is smaller.
Base ⅒
Alright, you’ve got me there.
Wouldn’t that require the number of available digits to be 1/10?
Fractional bases are weird, and I think there’s even competing standards. What I was thinking is that you can write any number in base n like this:
\sum_{k= -∞}^{∞} a_k * n^k
where a_k are what we would call the digits of a number. To make this work (exists and is unique) for a given positive integer base, you need exactly n different symbols.
For a base 1/n, turns out you also need n different symbols, using this definition. It’s fairly easy to show that using 1/n just mirrors the number around the decimal point (e.g. 13.7 becomes 7.31)
I am not very well versed in bases tho (unbased, even), so all of this could be wrong.
Based.
The rainbow represents Alan Turing, who taught the child binary
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