Is there any sequence of functions containing functions growing slower than any smooth function

calculuslimitsreal-analysis

The function

$f(x)= \begin{cases}
e^{-\frac{1}{x}} & x > 0 \\
0 & x\leq 0 \\
\end{cases}$

is a smooth function which grows, at $0$, slower than any function of the form $x^n$.

My question is, does there exist a sequence of functions $(f_n)$, infinitely differentiable at $0$ and with $f_n(0)=0$ and $f_n(x)\neq 0$ when $x\neq 0$ for all $n$, with the following property?

For any function $f$ infinitely differentiable at 0 where $f(0)=0$ and $f(x)\neq 0$ when $x\neq 0$ there exists a natural number $N$ such that for all $n\geq N$, we have $\lim_{x\rightarrow 0}\frac{f_n(x)}{f(x)}=0$.

Or is there no such sequence of functions, i.e. for any sequence of functions does there exist a function which grows more slowly than all the functions in the sequence?

Best Answer

There is no such $C^\infty$ function. To prove this, let $f_n$ satisfy the conditions you specify. WLOG, we can assume all $f_n>0$ on $\mathbb R\setminus \{0\}.$ If that is not true, go to the functions $f_n^2.$ We will construct an even $f\in C^\infty(\mathbb R),$ positive on $\mathbb R\setminus \{0\}$ and strictly increasing on $[0,\infty),$ such that for every $n,$

$$\tag 1\lim_{x\to 0} \frac{f_n(x)}{f(x)}=\infty.$$

For any $g\in C^l(\mathbb R),$ define

$$\|g\|_l = \sum_{j=0}^{l}\sup_{\mathbb R} |D^jg|.$$

If $g_k\in C^\infty(\mathbb R), k = 1,2,\dots,$ and $\sum_{k=1}^{\infty} \|g_k\|_l <\infty$ for each $l,$ then $\sum_{k=1}^{\infty} g_k \in C^\infty(\mathbb R).$ Furthermore, for each $l,$

$$D^l\left(\sum_{k=1}^{\infty} g_k\right ) = \sum_{k=1}^{\infty} D^lg_k.$$

Choose a sequence $a_1>a_2 > \cdots \to 0.$ For each $k,$ set $E_k=\{x:a_{k+1}\le |x|\le a_k\}$ and define $m_k$ to be the smallest of the numbers

$$\min_{E_k} f_1,\min_{E_k} f_2,\dots,\min_{E_k} f_k.$$

Now choose a positive sequence $c_k\to 0$ such that $c_km_k$ strictly decreases to $0.$

For each $k$ we can choose $g_k\in C^\infty(\mathbb R)$ with $g_k>0$ on $(a_{k+1},a_k)$ and $g_k=0$ elsewhere. By multiplying by small enough positive constants we can also require

$$\|g_k\|_k < 1/2^k \text { and } \int_{a_{k+1}}^{a_k} g_k < c_km_k - c_{k+1}m_{k+1}.$$

We then define

$$g = \sum_{k=1}^{\infty}g_k.$$

This $g\in C^\infty(\mathbb R).$

Finally we get to define $f$ (almost): Define

$$f(x) = \int_0^x g,\,\, x\in \mathbb R.$$

Then $f\in C^\infty(\mathbb R)$ and $f$ is strictly increasing on $[0,\infty).$ Fix $n.$ Claim: If $x\in [a_{k+1},a_k]$ and $k\ge n,$ then

$$\tag 2\frac{f_n(x)}{f(x)} \ge \frac{1}{c_k}.$$

Since $c_k\to 0^+,$ $(2)$ proves $(1),$ at least as $x\to 0^+.$ To prove $(2),$ note $f(x)\le f(a_k).$ Now

$$f(a_k) = \int_0^{a_k} g =\sum_{j=k}^{\infty}\int_{a_{j+1}}^{a_j} g_j < \sum_{j=k}^{\infty}(c_jm_j - c_{j+1}m_{j+1}) = c_km_k.$$

So

$$\frac{f_n(x)}{f(x)}\ge \frac{f_n(x)}{f(a_k)} > \frac{m_k}{c_km_k}=\frac{1}{c_k},$$

proving $(2).$

We're done except for a minor detail. This $f=0$ on $(-\infty,0].$ All we need to do is redefine $f$ for $x\le 0$ by setting $f(x)=f(-x).$ Because all $D^lf(0)=0$ for the original $f,$ the redefined $f\in C^\infty(\mathbb R ).$ Since the $m_k$ took into account the behavior of the $f_n$ to the left of $0,$ we have our counterexample as claimed.