Consider the function $f:\mathbb{R}\to\mathbb{R}$, where for a base-3 expansion of $x\in\mathbb{R}$, we take the "pseudo-random" iterations of function $\mathscr{F}:\{0,1,2\}\to\{0,1,2\}$ where for the first iteration, replace base-3 digit zero with one; one with two, and two with zero. In mathematical terms, if $\mathscr{F}:=\left\{(0,1),(1,2),(2,0)\right\}$, such that equation: $$\mathscr{F}^{k}=\underset{k\text{ times}}{\underbrace{\mathscr{F}(\mathscr{F}(\cdots\mathscr{F}(x)))}}$$ is the $k$-th iteration of $\mathscr{F}$, we define a function with "pseudo-random" outputs in $\mathbb{N}$. If we define $g_{\varepsilon}:\mathbb{R}\to\mathbb{R}$ where: $$g_{\varepsilon}(x)=\begin{cases} \quad\!\!(2\varepsilon)^{x/(2\varepsilon)} & \quad\!\! x<-\varepsilon\\ -1/x & \!-2\varepsilon\le x <0\\ \quad \! 0 & \!\!\quad x=0 \\ \quad\!{1}/{x} & \quad\!\! 0<x<\varepsilon \\ \quad\!\!\,\varepsilon^{-x/\varepsilon} & \quad\!\! x\ge \varepsilon\\ \end{cases}$$ such that $\left[\cdot\right]$ rounds to the nearest integer, then function $z_{\varepsilon}:\mathbb{R}^2\to\mathbb{R}$ or $$z_{\varepsilon}(x,k)=\big[g_{\varepsilon}(x) k\sin(g_{\varepsilon}(x)k)\big]$$ contains "pseudo-random" outputs of $\mathbb{N}$, where furthermore: $$\small{f_{\varepsilon}(x)=\left\{\sum\limits_{k=-\infty}^{\infty}{\text{sign}\left(\mathscr{F}^{z_{\varepsilon}(x,k)}(a_k)\right)\mathscr{F}^{z_{\varepsilon}(x,k)}(a_{k})}/{3^k}:a_k\in\left\{0,1,2\right\},x=\sum\limits_{k=-\infty}^{\infty}a_{k}/{3^k}\right\}}$$ which is the same as: $$\scriptsize{f_{\varepsilon}(x)=\left\{\sum\limits_{k=-\infty}^{\infty}\Big(\text{sign}(\text{mod}(z_{\varepsilon}(x,k)+a,3))\cdot\text{mod}(z_{\varepsilon}(x,k)+a,3)\Big)/{3^k}:a_k\in\left\{0,1,2\right\},x=\sum\limits_{k=-\infty}^{\infty}a_k/{3^k}\right\}}$$ (i.e., $\mathscr{F}^{k}(a_k)=\text{mod}(a_k+k,3)$), such that for set $A\subseteq \mathbb{R}$ we want an $f:\mathbb{R}\to\mathbb{R}$ where: \begin{equation} \small{\forall(\varepsilon_1>0)\exists(A\subseteq\mathbb{R})\forall(\varepsilon\in A)\exists(M>0)\forall(x\in\mathbb{R})\left(0<\varepsilon\le M\Rightarrow \left|f_{\varepsilon}(x)-f(x)\right|<\varepsilon_{1}\right)} \label{bjj}\tag{1} \end{equation} **Note:** For $g_{\varepsilon}(x)$, we have $2\varepsilon$ (rather than $\varepsilon$) to avoid symmetry in the graph of $f$, and the $\text{sign}$ function in $f_{\varepsilon}(x)$ to allow negative outputs in $f$'s graph. Using evidence, consider $f_{\varepsilon}(x)\mapsto f_{\varepsilon}(x,t)$ where: $$\scriptsize{f_{\varepsilon}(x,t)=\left\{\sum\limits_{k=-\infty}^{t}\Big(\text{sign}(\text{mod}(z_{\varepsilon}(x,k)+a_{k},3))\cdot \text{mod}(z_{\varepsilon}(x,k)+a_{k},3)\Big)/{3^k}:a_{k}\in\left\{0,1,2\right\},x=\sum\limits_{k=-\infty}^{\infty}a_{k}/{3^k}\right\}}$$ and $x\in G_{r}:=\left\{c/d:c,d\in\mathbb{Z}, d\le r, -dr\le c\le dr\right\}$, such that when $x\in G_{10}$, we get the set of points $\left\{(x,f_{.1}(x,10)):x\in G_{10}\right\}$ is: [![enter image description here][2]][2] **Question:** If $f$ does not exist or satisfy the motivation, how do we change equation $\eqref{bjj}$ so it does? I assume none of the expected values in the **preliminaries** give this function a unique and finite expected value. (Hopefully, someone can check.) [2]: https://i.sstatic.net/bWglD.png