Prove that if $n<m$ and $n$ divides $m$, then $\frac{\sigma(n)}{n} < \frac{\sigma (m)}{m}$, where $\sigma(x)$ denotes the sum of all the divisors of $x$.
I know that $\sigma (x)$ is multiplicative but not completely multiplicative. So, if $m=nk$ and $\gcd(n,k)=1$, then the inequality rewrites to $\frac{\sigma(n)}{n} < \frac{\sigma(n)\sigma(k)}{nk}$, which gives a lot of cancellation and can be easily proven. But how can it be solved if the gcd is not $1$?
Working one prime at a time, it will suffice to show that the inequality $$ \frac{\sigma(np)}{np} > \frac{\sigma(n)}{n} $$ holds for all positive integers $n$ and all primes $p$.
Fix a positive integer $n$ and a prime $p$.
First suppose $p\not\mid n$.$\;$Then $$ \frac{\sigma(np)}{np} = \frac{\sigma(n)\sigma(p)}{np} = \frac{\sigma(n)}{n}\cdot \frac{\sigma(p)}{p} = \frac{\sigma(n)}{n}\cdot \frac{p+1}{p} > \frac{\sigma(n)}{n} $$ Next suppose $p\mid n$.
Then we can write $n=ap^k$, where $p\not\mid a$, so \begin{align*} \sigma(n) &= \sigma(ap^k) = \sigma(a)\sigma(p^k) = \sigma(a)\left(\frac{p^{k+1}-1}{p-1}\right)\\[4pt] \sigma(np) &= \sigma(ap^{k+1}) = \sigma(a)\sigma(p^{k+1}) = \sigma(a)\left(\frac{p^{k+2}-1}{p-1}\right)\\[4pt] \end{align*} so $$ \frac{\sigma(np)}{\sigma(n)} = \frac{p^{k+2}-1}{p^{k+1}-1} $$ hence $$ \frac {\left({\Large{\frac{\sigma(np)}{np}}}\right)} {\left({\Large{\frac{\sigma(n)}{n}}}\right)} = \frac{1}{p}\cdot \frac{p^{k+2}-1}{p^{k+1}-1} = \frac{p^{k+2}-1}{p^{k+2}-p} > 1 $$ and thus $$ \frac{\sigma(np)}{np} > \frac{\sigma(n)}{n} $$ Now suppose positive integers $n,m$ with $n < m$ are such that $n{\,\mid\,}m$.
Then we can write $$ m=n{\,\cdot\,}(p_1\cdots p_j) $$ where $p_1,...,p_j$ are primes, not necessarily distinct.
Let $x_0,...,x_j$ be defined recursively by $$ \left\lbrace \begin{align*} x_0&=n\\[4pt] x_i&=x_{i-1}p_i\;\text{for}\;\,1\le i\le j\\[4pt] \end{align*} \right. $$ Then for $1\le i\le j$ we get $$ \frac{\sigma(x_i)}{x_i} = \frac{\sigma(x_{i-1}p_i)}{x_{i-1}p_i} > \frac{\sigma(x_{i-1})}{x_{i-1}} $$ hence $$ \frac{\sigma(n)}{n} = \frac{\sigma(x_0)}{x_0} < \cdots < \frac{\sigma(x_j)}{x_j} = \frac{\sigma(m)}{m} $$