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Section 2.1 intro
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48
thesis.tex
48
thesis.tex
@@ -277,6 +277,16 @@ qualifier deceive you) --- the two books complement each other nicely.
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\section{Relations and functions}
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\section{Relations and functions}
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\label{sec:functions}
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\label{sec:functions}
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Relations and functions feature prominently in the design and
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understanding of the static and dynamic properties of programming
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languages. The interested reader is likely to already be familiar with
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the basic concepts of relations and functions, although this section
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briefly introduces the concepts, its purpose is to introduce the
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notation that I am using pervasively throughout this dissertation.
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I assume familiarity with basic set theory.
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\begin{definition}
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\begin{definition}
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The Cartesian product of two sets $A$ and $B$, written $A \times B$,
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The Cartesian product of two sets $A$ and $B$, written $A \times B$,
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is the set of all ordered pairs $(a, b)$, where $a$ is drawn from
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is the set of all ordered pairs $(a, b)$, where $a$ is drawn from
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@@ -332,10 +342,11 @@ $R^n$, is defined inductively.
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R^0 \defas \emptyset, \quad\qquad R^1 \defas R, \quad\qquad R^{1 + n} \defas R \circ R^n.
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R^0 \defas \emptyset, \quad\qquad R^1 \defas R, \quad\qquad R^{1 + n} \defas R \circ R^n.
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\]
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\]
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Homogeneous relations play a prominent role in the design and
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Homogeneous relations play a prominent role in the operational
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operational understanding of programming languages. There are two
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understanding of programming languages as they are used to give
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particular properties and associated closure operations of homogeneous
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meaning to program reductions. There are two particular properties and
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relations that reoccur throughout this dissertation.
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associated closure operations of homogeneous relations that reoccur
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throughout this dissertation.
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\begin{definition}
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\begin{definition}
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A homogeneous relation $R \subseteq A \times A$ is said to be
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A homogeneous relation $R \subseteq A \times A$ is said to be
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@@ -351,23 +362,27 @@ relations that reoccur throughout this dissertation.
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\begin{definition}[Closure operations]
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\begin{definition}[Closure operations]
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Let $R \subseteq A \times A$ denote a homogeneous relation. The
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Let $R \subseteq A \times A$ denote a homogeneous relation. The
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reflexive closure $R^{=}$ of $R$ is the smallest reflexive relation
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reflexive closure $R^{=}$ of $R$ is the smallest reflexive relation
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over $A$ containing $R$, i.e.
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over $A$ containing $R$
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\[
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\[
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R^{=} \defas \{ (a, a) \mid a \in A \} \cup R
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R^{=} \defas \{ (a, a) \mid a \in A \} \cup R.
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\]
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\]
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The transitive closure $R^+$ of $R$ is the smallest transitive
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The transitive closure $R^+$ of $R$ is the smallest transitive
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relation over $A$ containing $R$, i.e.
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relation over $A$ containing $R$
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\[
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\[
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R^+ \defas \displaystyle\bigcup_{n \in \N} R^n
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R^+ \defas \displaystyle\bigcup_{n \in \N} R^n.
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\]
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The reflexive and transitive closure $R^\ast$ of $R$ is the smallest
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reflexive and transitive relation over $A$ containing $R$
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\[
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R^\ast \defas (R^+)^{=}.
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\]
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\]
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\end{definition}
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\end{definition}
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The reflexive and transitive closure $R^\ast$ of $R$ is defined as
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$R^\ast \defas (R^+)^{=}$.
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\begin{definition}
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\begin{definition}
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A relation $R \subseteq A \times B$ is functional and serial if it
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A relation $R \subseteq A \times B$ is functional and serial if it
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@@ -395,11 +410,16 @@ We use these properties to define partial and total functions.
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$f \subseteq A \times B$.
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$f \subseteq A \times B$.
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\end{definition}
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\end{definition}
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A total function is also simply called a `function'.
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A total function is also simply called a `function'. Throughout this
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dissertation the terms (partial) mapping and (partial) function are
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used interchangeably.
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For a function $f : A \to B$ (or partial function $f : A \pto B$) we
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For a function $f : A \to B$ (or partial function $f : A \pto B$) we
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write $f(a) = b$ to mean $(a, b) \in f$, and say that $f$ returns $b$
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write $f(a) = b$ to mean $(a, b) \in f$, and say that $f$ applied to
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when applied to $a$.
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$a$ returns $b$. The notation $f(a)$ means the application of $f$ to
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$a$, and we say that $f(a)$ is defined whenever $f(a) = b$ for some
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$b$.
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The domain of a function is a set, $\dom(-)$, consisting of all the
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The domain of a function is a set, $\dom(-)$, consisting of all the
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elements for which it is defined. Thus the domain of a total function
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elements for which it is defined. Thus the domain of a total function
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