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This problem is in my problem book:

Let $f :[0,\infty) \to R$ be a function such that, for each real $ x_0, x_1 > 0$ , the sequence ${f(x_0+x_1 n)}$ converges to zero. Does the $\lim\limits_{x\to \infty } f(x)$ exist?

The answer is no, The way to prove this is via a counter example which is hard to find but this made me wonder:

Let $f :[0,\infty) \to R$ be a function such that, for each real $ x_0, x_1 , \dots , x_N > 0$ , the sequence $\{f(\sum\limits_{k=0} ^N x_k n^k )\}$ converges to zero. Does the $\lim\limits_{x\to \infty } f(x)$ exist?

This generalisation is very difficult to find a counter example for, I wonder if there is a way to prove that such polynomial is impossible using other methods.

pie
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  • For the problem in the book: I think such a function cannot be continuous. – Kavi Rama Murthy Aug 28 '24 at 07:30
  • How about $f(x)=0$ for all $x$ in the image of $\mathbb N$ under $g$, but $f(x)=1$ otherwise? – stochastic-conch Aug 28 '24 at 07:38
  • Although it is not entirely clear from the test, I guess $x_0, x_1$ are allowed to be real for otherwise the question is trivial. But OP's clarification would be greatly helpful. – Sangchul Lee Aug 28 '24 at 07:40
  • @SangchulLee You are right! – pie Aug 28 '24 at 07:46
  • @geetha290krm: Yes, if $f$ is continuous then the existence of $\lim_{n \to \infty} f(nx)$ for all $x > 0$ implies the existence of $\lim_{x\to \infty } f(x)$. That is an application of the Baire category theorem, it has been asked and answered several times, e.g. here: https://math.stackexchange.com/q/63870/42969. – Martin R Aug 28 '24 at 08:12

1 Answers1

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Consider $\mathbb{R}$ as a $\mathbb{Q}$-vector space, and let $\mathcal{B}$ be a Hamel basis. Then define $f : \mathbb{R} \to \mathbb{R}$ by

$$ f(x) = \mathtt{safeinv}(\mathtt{L_1}(x)), $$

where

$$ \mathtt{safeinv}(x) = \begin{cases} \frac{1}{x}, & x \neq 0, \\ 0, & x = 0 \end{cases}, \qquad \mathtt{L_1}\left( \sum_{v\in\mathcal{B}} c_v v \right) = \sum_{v\in\mathcal{B}}|c_v|. $$

Since all but finitely many $c_v$'s are zero, $\mathtt{L_1}$ is well-defined and hence the same is true for $f$.

Let $N \geq 1$, and let $x_0, \ldots, x_N \in \mathbb{R}$ be arbitrary with $x_N \neq 0$. We write $x_k = \sum_{v \in \mathcal{B}} c_{k,v} v$ for each $k = 0, \ldots, N$. Then

\begin{align*} f\left( \sum_{k=0}^{N} x_k n^k \right) = \mathtt{safeinv}(y_n), \qquad \text{where } y_n = \sum_{v\in\mathcal{B}} \left| \sum_{k=0}^{N} c_{k,v} n^k \right|. \end{align*}

Since $c_{N,v} \neq 0$ for some $v$, it follows that $y_n \to \infty$. Hence,

$$ \lim_{\mathbb{N} \ni n \to \infty} f\left( \sum_{k=0}^{N} x_k n^k \right) = 0. $$

On the other hand, note that we may have assumed at the beginning that $\mathcal{B}$ is unbounded above, i.e., there exists a positive sequence $(v_i)_{i\geq 1} \subset \mathcal{B}$ such that $v_i \to \infty$. Assuming indeed so,

$$ f(\lceil v_i \rceil^{-1/2} v_i) = \mathtt{safeinv}(\lceil v_i \rceil^{-1/2}) = \lceil v_i \rceil^{1/2} \to \infty, $$

whereas

$$ \lceil v_i \rceil^{-1/2} v_i \sim v_i^{1/2} \to \infty. $$

Therefore $f(x) \not\to 0$ as $x \to \infty$.

Martin R
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Sangchul Lee
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