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authorElizabeth Alexander Hunt <me@liz.coffee>2026-07-02 11:55:17 -0700
committerElizabeth Alexander Hunt <me@liz.coffee>2026-07-02 11:55:17 -0700
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treeed97e39ec77c5231ffd2c394493e68d00ddac5a4 /Homework/cs5000/hw08
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+#+TITLE: HW 08
+#+AUTHOR: Elizabeth Hunt (A02364151)
+#+STARTUP: entitiespretty fold inlineimages
+#+LATEX_HEADER: \notindent \notag \usepackage{amsmath} \usepackage[a4paper,margin=1in,portrait]{geometry}
+#+LATEX: \setlength\parindent{0pt}
+#+OPTIONS: toc:nil
+
+* Problem One
+Let $m$ be the number of statements that don't produce an effect on $Y$ i.e.
+$\{ Y \leftarrow Y, X1 \leftarrow X1 + 1, \cdots \}$, $n$ be the number of statements $Y \leftarrow Y - 1$, and
+$o$ be the number of statements $Y \leftarrow Y + 1$. A straightline program of length $k$
+must have $m + n + o = k$ instructions. Then, the terminal snapshot ends with
+$Y = o - n + 0m$. Thus, $Y$ is at a maximum if and only if $o = k$, thus $Y = k$,
+and at a minimum if and only if $o = n$, thus $Y = 0$ (we cannot have $n > o$ as
+by definition of $L$, for a valid program $P$ $Y$ is a non-negative number).
+
+* Problem Two
+Let $P$ be a program in $L$ that computes $f$. Then $f$ is partially computable
+by definition, and is partially computable in $L++$ trivially since $L++$ is a
+"superset" of $L$. ($L++ \Leftarrow L$).
+
+Then let $Q$ be a program in $L++$ that computes $f$, $f$ is partially computable
+if we can convert $Q$ into $L$. For each instruction $i \in Q$, if $i$ is in the form
+$V \leftarrow k | k \in N$ then we replace $i$ with the sequence of instructions and unique labels
+(with the notation \cdots representing a reapeating instruction until the instruction is the
+following index), else write $i$ ($L++ \Rightarrow L$).
+
+\begin{verbatim}
+1. [A1] IF V != 0 GOTO B1
+2. GOTO C1
+3. [B1] V <- V - 1
+4. GOTO A1
+5. [C1] V <- V + 1
+... V <- V + 1
+(5 + k - 1). V <- V + 1
+\end{verbatim}
+
+And thus any program in $L++$ is also partially computable.
+
+* Problem Three
+For $n=0$, $i(n, x) = f^0(x) = x$ is primitive recursive since it can be represented as
+a projection function $u_1^1(x) = x$. If $f^n$ is primitive recursive, then so is $f^{n+1}$, as $f^{n+1}$
+is a finite composition $f(f^n)$. By induction, for any $n \in N$, $i(n, x)$ is primitive recursive, and thus computable.
+
+* Problem Four
+** One
+Let $m \in N$ represent the number of compositions in a function such that the set containing all $n$ -ary
+functions with "composition number" $m$ are of the form
+
+$f(x_1, \cdots, x_n) = g(f_1(x_1, \cdots, x_n), \cdots, f_j(x_1, \cdots, x_n))$
+where each $f_i$ is in the set of functions with a "composition number" $\le m - 1$. Except for the case in which
+$m = 0$ - the initial functions; which are all of the form $k$ or $x_i + k$.
+
+Then, let $F^m | m \in N$ represent the set of all functions of composition number $m$ or less,
+and assume that $\forall f \in F^m$ are of either form $k$ or $x_i + k$. Then, $g \in F^{m+1} | m \in N$'s elements
+are $g(x_1, \cdots, x_n) = f(f_1(x_1, \cdots, x_n), \cdots, f_j(x_1, \cdots, x_n))$ where $f$ is an initial function, by definition, and each
+$f_i | 1 \le i \le j \in F^m$.
+1. If $f$ is the Zero function $g$ is in the form $k = 0$
+2. If $f$ is the Successor function $g$ is some $f_i(\cdots) + 1$ which by assumption is thus $(x_i + k) + 1 \Rightarrow x_i + k$ or $k + 1 \Rightarrow k$.
+3. If $f$ is the Projection function $g$ is some $f_i(\cdots)$ which by assumption is $(x_i + k)$ or $k$.
+
+Finally, by induction, $\forall f(x_1, \cdots, x_n) \in$ ~COMP~, $f$ is thus in the form $k$ or $x_i + k | 1 \le i \le n$.
+
+** Two
+By what we showed in One, $f(x_1, \cdots, x_n)$ is dependent on a single $x_i \in {x_1, \cdots, x_n}$ and produces $r = (x_i + k)$ or $r = k$. Then $f(y_1, \cdots, y_n) = (y_i + k) | k$
+for the same $i$. So if for all $i | 1 \le i \le n$, $x_i \le y_i$ then $(y_i + k) \ge (x_i + k)$ or $k = k$. Thus in both cases $f(y_1, \cdots, y_n) \ge f(x_1, \cdots, x_n)$
+and is thus monotonic.
+
+** Three
+Yes. Firstly, every $f \in$ ~COMP~ is primitive recursive, just without the recursion, so it is a subset of the set of all primitive recursive
+functions.
+
+Consider the (proven in class) primitive recursive function $f(x_1, x_2) = x_1 * x_2$, and the equivalent $g \in$ ~COMP~. $g(x_1, x_2)$ is equivalent to
+$x_1 + k$, $x_2 + k$, or $k$. Then there all elements of $\{f(x_1, x_2 + 1), f(x_1 + 1, x_2), f(x_1, x_2)\} | x_1, x_2 > 1$ cannot be present in
+$\{g(x_1, x_2 + 1), g(x_1 + 1, x_2), g(x_1, x_2)\}$ for the same $x_1, x_2$ due to the dependence relation, which is a contradiction to $f$ and $g$
+being equivalent.
+
+** Four
+Yes. By the fact that all primitive recursive functions are computable, ~COMP~ being a set of primitive recursive functions from Three, is a subset of computable functions.
+However, we also showed in Three that there exists a computable (primitive recursive) function which is not in ~COMP~, so ~COMP~ is not equivalent to the set
+of all computable functions.
+
+* Problem Five
+1. Let $a(x_1, x_2) = x_1 + x_2$ and $m(x_1, x_2) = x_1 * x_2$ which are primitive recursive by proofs in class.
+2. Let $t(x_1)$ be the composition of the successor function $s$ 10 times on the zero function $z$ function: $t(x_1) = s(s(\cdots(n(x_1))))$, and is primitive recursive.
+3. Let $v(x_1)$ be $v(x_1) = a(x_1, a(x_1, a(x_1, a(x_1, u_1^1(x_1)))))$, which is primitive recursive.
+4. Let $w(x_1)$ be $w(x_1) = a(t(x_1), v(x_1))$, which is primitive recursive.
+5. Let $y(x_1)$ be $y(x_1) = m(m(x_1, x_1), s(s(n(x_1))))$, which is primitive recursive.
+6. Then $f(x_1)$ is $a(w(x_1), y(x_1))$, which is primitive recursive.
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+% Created 2023-11-11 Sat 20:04
+% Intended LaTeX compiler: pdflatex
+\documentclass[11pt]{article}
+\usepackage[utf8]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage{graphicx}
+\usepackage{longtable}
+\usepackage{wrapfig}
+\usepackage{rotating}
+\usepackage[normalem]{ulem}
+\usepackage{amsmath}
+\usepackage{amssymb}
+\usepackage{capt-of}
+\usepackage{hyperref}
+\notindent \notag \usepackage{amsmath} \usepackage[a4paper,margin=1in,portrait]{geometry}
+\author{Elizabeth Hunt (A02364151)}
+\date{\today}
+\title{HW 08}
+\hypersetup{
+ pdfauthor={Elizabeth Hunt (A02364151)},
+ pdftitle={HW 08},
+ pdfkeywords={},
+ pdfsubject={},
+ pdfcreator={Emacs 29.1 (Org mode 9.7-pre)},
+ pdflang={English}}
+\begin{document}
+
+\maketitle
+\setlength\parindent{0pt}
+\section{Problem One}
+\label{sec:org7aa3a78}
+Let \(m\) be the number of statements that don't produce an effect on \(Y\) i.e.
+\(\{ Y \leftarrow Y, X1 \leftarrow X1 + 1, \cdots \}\), \(n\) be the number of statements \(Y \leftarrow Y - 1\), and
+\(o\) be the number of statements \(Y \leftarrow Y + 1\). A straightline program of length \(k\)
+must have \(m + n + o = k\) instructions. Then, the terminal snapshot ends with
+\(Y = o - n + 0m\). Thus, \(Y\) is at a maximum if and only if \(o = k\), thus \(Y = k\),
+and at a minimum if and only if \(o = n\), thus \(Y = 0\) (we cannot have \(n > o\) as
+by definition of \(L\), for a valid program \(P\) \(Y\) is a non-negative number).
+\section{Problem Two}
+\label{sec:orgb9efdfb}
+Let \(P\) be a program in \(L\) that computes \(f\). Then \(f\) is partially computable
+by definition, and is partially computable in \(L++\) trivially since \(L++\) is a
+"superset" of \(L\). (\(L++ \Leftarrow L\)).
+
+Then let \(Q\) be a program in \(L++\) that computes \(f\), \(f\) is partially computable
+if we can convert \(Q\) into \(L\). For each instruction \(i \in Q\), if \(i\) is in the form
+\(V \leftarrow k | k \in N\) then we replace \(i\) with the sequence of instructions and unique labels
+(with the notation \(\cdots{}\) representing a reapeating instruction until the instruction is the
+following index), else write \(i\) (\(L++ \Rightarrow L\)).
+
+\begin{verbatim}
+1. [A1] IF V != 0 GOTO B1
+2. GOTO C1
+3. [B1] V <- V - 1
+4. GOTO A1
+5. [C1] V <- V + 1
+... V <- V + 1
+(5 + k - 1). V <- V + 1
+\end{verbatim}
+
+And thus any program in \(L++\) is also partially computable.
+\section{Problem Three}
+\label{sec:org53e881b}
+For \(n=0\), \(i(n, x) = f^0(x) = x\) is primitive recursive since it can be represented as
+a projection function \(u_1^1(x) = x\). If \(f^n\) is primitive recursive, then so is \(f^{n+1}\), as \(f^{n+1}\)
+is a finite composition \(f(f^n)\). By induction, for any \(n \in N\), \(i(n, x)\) is primitive recursive, and thus computable.
+\section{Problem Four}
+\label{sec:orgbc1477c}
+\subsection{One}
+\label{sec:org96da465}
+Let \(m \in N\) represent the number of compositions in a function such that the set containing all \(n\) -ary
+functions with "composition number" \(m\) are of the form
+
+\(f(x_1, \cdots, x_n) = g(f_1(x_1, \cdots, x_n), \cdots, f_j(x_1, \cdots, x_n))\)
+where each \(f_i\) is in the set of functions with a "composition number" \(\le m - 1\). Except for the case in which
+\(m = 0\) - the initial functions; which are all of the form \(k\) or \(x_i + k\).
+
+Then, let \(F^m | m \in N\) represent the set of all functions of composition number \(m\) or less,
+and assume that \(\forall f \in F^m\) are of either form \(k\) or \(x_i + k\). Then, \(g \in F^{m+1} | m \in N\)'s elements
+are \(g(x_1, \cdots, x_n) = f(f_1(x_1, \cdots, x_n), \cdots, f_j(x_1, \cdots, x_n))\) where \(f\) is an initial function, by definition, and each
+\(f_i | 1 \le i \le j \in F^m\).
+\begin{enumerate}
+\item If \(f\) is the Zero function \(g\) is in the form \(k = 0\)
+\item If \(f\) is the Successor function \(g\) is some \(f_i(\cdots) + 1\) which by assumption is thus \((x_i + k) + 1 \Rightarrow x_i + k\) or \(k + 1 \Rightarrow k\).
+\item If \(f\) is the Projection function \(g\) is some \(f_i(\cdots)\) which by assumption is \((x_i + k)\) or \(k\).
+\end{enumerate}
+
+Finally, by induction, \(\forall f(x_1, \cdots, x_n) \in\) \texttt{COMP}, \(f\) is thus in the form \(k\) or \(x_i + k | 1 \le i \le n\).
+\subsection{Two}
+\label{sec:org74c3eb4}
+By what we showed in One, \(f(x_1, \cdots, x_n)\) is dependent on a single \(x_i \in {x_1, \cdots, x_n}\) and produces \(r = (x_i + k)\) or \(r = k\). Then \(f(y_1, \cdots, y_n) = (y_i + k) | k\)
+for the same \(i\). So if for all \(i | 1 \le i \le n\), \(x_i \le y_i\) then \((y_i + k) \ge (x_i + k)\) or \(k = k\). Thus in both cases \(f(y_1, \cdots, y_n) \ge f(x_1, \cdots, x_n)\)
+and is thus monotonic.
+\subsection{Three}
+\label{sec:org8b3878c}
+Yes. Firstly, every \(f \in\) \texttt{COMP} is primitive recursive, just without the recursion, so it is a subset of the set of all primitive recursive
+functions.
+
+Consider the (proven in class) primitive recursive function \(f(x_1, x_2) = x_1 * x_2\), and the equivalent \(g \in\) \texttt{COMP}. \(g(x_1, x_2)\) is equivalent to
+\(x_1 + k\), \(x_2 + k\), or \(k\). Then there all elements of \(\{f(x_1, x_2 + 1), f(x_1 + 1, x_2), f(x_1, x_2)\} | x_1, x_2 > 1\) cannot be present in
+\(\{g(x_1, x_2 + 1), g(x_1 + 1, x_2), g(x_1, x_2)\}\) for the same \(x_1, x_2\) due to the dependence relation, which is a contradiction to \(f\) and \(g\)
+being equivalent.
+\subsection{Four}
+\label{sec:orgcea60eb}
+Yes. By the fact that all primitive recursive functions are computable, \texttt{COMP} being a set of primitive recursive functions from Three, is a subset of computable functions.
+However, we also showed in Three that there exists a computable (primitive recursive) function which is not in \texttt{COMP}, so \texttt{COMP} is not equivalent to the set
+of all computable functions.
+\section{Problem Five}
+\label{sec:orgab79ce2}
+\begin{enumerate}
+\item Let \(a(x_1, x_2) = x_1 + x_2\) and \(m(x_1, x_2) = x_1 * x_2\) which are primitive recursive by proofs in class.
+\item Let \(t(x_1)\) be the composition of the successor function \(s\) 10 times on the zero function \(z\) function: \(t(x_1) = s(s(\cdots(n(x_1))))\), and is primitive recursive.
+\item Let \(v(x_1)\) be \(v(x_1) = a(x_1, a(x_1, a(x_1, a(x_1, u_1^1(x_1)))))\), which is primitive recursive.
+\item Let \(w(x_1)\) be \(w(x_1) = a(t(x_1), v(x_1))\), which is primitive recursive.
+\item Let \(y(x_1)\) be \(y(x_1) = m(m(x_1, x_1), s(s(n(x_1))))\), which is primitive recursive.
+\item Then \(f(x_1)\) is \(a(w(x_1), y(x_1))\), which is primitive recursive.
+\end{enumerate}
+\end{document}