How to prove, that $O(x^2) \subset o(x) $ when $x \to 0$? How should i use the definitions of Big O : $ \exists C>0, \exists \delta : |x|<\delta, |f(x)| \leq C|x^2| $ and little o: $\forall \epsilon>0 \> \exists \delta>0 : 0<|x|<\delta, |f(x)| \leq \epsilon|x| $ if the first definition mentions two constants and the second has $\forall \epsilon>0$?
2026-05-05 01:12:50.1777943570
$o(x)$ and $O(x^2)$
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If $f(x) = O(x^2)$, then there are $c>0$ and $d > 0$ such that $f(x) < cx^2$ for $|x| < d$.
Therefore, for $|x| < d$, $\frac{f(x)}{x} < c|x|$.
You want to show that, for any $\delta > 0$, there is an $\epsilon > 0$ such that $|\frac{f(x)}{x}| < \delta $ for $|x| < \epsilon $.
In $\frac{f(x)}{x} < c|x|$, to make $\frac{f(x)}{x} < \epsilon$, choose $c|x| < \epsilon$, or $|x| < \epsilon/c$.
Therefore, if $|x| < \min(d, \epsilon/c)$. $\frac{f(x)}{x} < \epsilon$.