Function Obtained by Primitive Recursion from URM Computable Functions
Theorem
Let the functions $f: \N^k \to \N$ and $g: \N^{k + 2} \to \N$ be URM computable functions.
Let $h: \N^{k + 1} \to \N$ be obtained from $f$ and $g$ by primitive recursion.
Then $h$ is also URM computable.
Proof
From the definition:
- $\forall n \in \N: \map h {n_1, n_2, \ldots, n_k, n} = \begin {cases}
\map f {n_1, n_2, \ldots, n_k} & : n = 0 \\ \map g {n_1, n_2, \ldots, n_k, n - 1, \map h {n_1, n_2, \ldots, n_k, n - 1} } & : n > 0 \end {cases}$
Let $P$ and $Q$ be normalized URM programs which compute $f$ and $g$ respectively.
Let $s = \map \lambda P$ and $t = \map \lambda Q$ be the number of basic instructions in $P$ and $Q$.
Let $u = \max \set {\map \rho P, \map \rho Q, k + 2}$.
This article, or a section of it, needs explaining. In particular: What's $\rho$? Should it be $\lambda$ You can help $\mathsf{Pr} \infty \mathsf{fWiki}$ by explaining it. To discuss this page in more detail, feel free to use the talk page. When this work has been completed, you may remove this instance of {{Explain}} from the code. |
Thus registers $R_{u + 1}, R_{u + 2}, \ldots$ are neither used by $P$ nor $Q$ nor for input.
So they can be used for storing values.
The following algorithm can be followed to create a URM program $H$ to compute $h$.
We assume that the input is $\tuple {n_1, n_2, \ldots, n_k, n}$, which is held in $R_1, R_2, \ldots, R_k, R_{k + 1}$.
The plan is that the program will compute $\map h {n_1, n_2, \ldots, n_k, i}$ for $i = 0, 1, 2, \ldots, n$ in order.
At the end of the last iteration, $\map h {n_1, n_2, \ldots, n_k, n}$ will be left in $R_1$.
We are to use the following registers:
- $R_{u + 1}, R_{u + 2}, \ldots, R_{u + k + 1}$ will be used to store the input $\tuple {n_1, n_2, \ldots, n_k, n}$ so it does not get overwritten.
- We note that $R_{u + k + 1}$ will hold the value of $n$.
- $R_{u + k + 2}$ will hold the current value of the recursion variable $i$.
When $r_{u + k + 2} = r_{u + k + 1}$, the computation will have ended.
Step | Process | Notes | $\map \lambda H$ | |
---|---|---|---|---|
$1$ | Append a Block Copy Program $\map C {1, u + 1, k + 1}$ to $H$[1]. | This stores the input somewhere safe so it can be accessed again later. | $k + 1$ | |
$2$ | Append $\map Z {k + 1}$ to $H$. | This clears $R_{k + 1}$ so that $R_1, R_2, \ldots, R_{k + 1}$ holds the input for calculating $f$. | $k + 2$ | |
$3$ | Increment the Jumps in $P$ by $k + 2$ lines[2]. Call this amended version $P'$. | As $P$ was written so as to start from line 1, we need to move all the Jumps so as to point to the same lines relative to the start of $P'$. | ||
$4$ | Append $P'$ to $H$. | This will compute $\map h {n_1, n_2, \ldots, n_k, n} = \map f {n_1, n_2, \ldots, n_k}$. | $k + s + 2$ | |
$5$ | Append the command $\map J {u + k + 1, u + k + 2, k + s + t + 8}$ to $H$. | If the iterator equals the value of $n$ that was input, this Jumps $H$ to a non-existent line to force $H$ to terminate. | $k + s + 3$ | |
$6$ | Append the command $\map C {1, k + 2}$ to $H$. | This copies the output of $P'$ into the last input location for function $g$, that is, the output from $\map h {n_1, n_2, \ldots, n_k, i - 1}$. | $k + s + 4$ | |
$7$ | Append the command $\map C {u + k + 2, k + 1}$ to $H$. | This moves the current contents of $R_{u + k + 2}$, the current iteration count, into the last but one input location for function $g$, that is, $i - 1$ itself. | $k + s + 5$ | |
$8$ | Append a Block Copy Program $\map C {u + 1, 1, k}$ to $H$. | This restores the input that we saved in step $1$ so it will be ready for program $Q$. | $2 k + s + 5$ | |
$9$ | Append the command $\map S {u + k + 2}$ to $H$. | This increments the iterator $i$. | $2 k + s + 6$ | |
$10$ | Calculate $l = \map \lambda H$. | This is the length of $H$ so far. | ||
$11$ | Increment the Jumps in $Q$ by $k + l$ lines. Call this amended version $Q'$. | As $Q$ was written so as to start from line 1, we need to move all the Jumps so as to point to the same lines relative to the start of $Q'$. | ||
$12$ | Append $Q'$ to $H$. | This will compute $\map h {n_1, n_2, \ldots, n_k, n} = \map f {n_1, n_2, \ldots, n_k}$. | $2 k + s + t + 6$ | |
$13$ | Append the command $\map J {1, 1, k + s + 3}$ to $H$. | This makes the program jump back to the command added at step $6$. | $2 k + s + t + 7$ |
The program $H$ finally looks like this:
Line | Command | Comment | ||
---|---|---|---|---|
$1$ | $\map C {1, u + 1}$ | Start of block copy of input to store. | ||
$\vdots$ | ||||
$k + 1$ | $\map C {k + 1, u + k + 1}$ | End of block copy of input to store. | ||
$k + 2$ | $\map Z {k + 1}$ | Clear the iterator to zero. | ||
$k + 3$ | Start of $P'$. | |||
$P'$ | ||||
$k + s + 2$ | End of $P'$. | |||
$k + s + 3$ | $\map J {u + k + 1, u + k + 2, k + s + t + 8}$ | If all the iterations have finished, jump to the exit line. | ||
$k + s + 4$ | $\map C {1, k + 2}$ | Copy the output of $P'$ into input of $Q'$. | ||
$k + s + 5$ | $\map C {u + k + 2, k + 1}$ | Copy the current iteration count input location for function $Q'$. | ||
$k + s +6$ | $\map C {u + 1, 1}$ | Start of block copy of stored input back to input of $Q'$. | ||
$\vdots$ | ||||
$2 k + s + 5$ | $\map C {u + k, k}$ | End of block copy of stored input back to input of $Q'$. | ||
$2 k + s + 6$ | $\map S {u + k + 2}$ | Increment the iterator. | ||
$2 k + s + 7$ | Start of $Q'$. | |||
$Q'$ | ||||
$2 k + s + t + 6$ | End of $Q'$. | |||
$2 k + s + t + 7$ | $\map J {1, 1, k + s + 3}$ | Jump back to start the next iteration through $Q'$. | ||
$2 k + s + t + 8$ | Empty | Exit line. |
It can easily be determined that $H$ computes $h$.
Hence $h$ is URM computable.
$\blacksquare$
Comment
Note that there are two things going on here. The first table is an algorithm for creating the program, the second table is the program itself.
Footnotes
- ↑ $H$, at this point, is a null URM program.
- ↑ To increment the Jumps by $r$ for any normalized URM program is done by changing all Jumps of the form $\map J {m, n, q}$ to $\map J {m, n, q + r}$.