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Section 2.1 intro

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Daniel Hillerström 5 years ago
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thesis.tex

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

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