Fix typos as spotted by HUghes

This commit is contained in:
Frederik Hanghøj Iversen 2018-01-15 16:20:14 +01:00
parent 26d449771a
commit 69adb726de
2 changed files with 9 additions and 9 deletions

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@ -1,4 +1,4 @@
\newcommand*{\defeq}{\mathrel{\vcenter{\baselineskip0.5ex \lineskiplimit0pt
\newcommand{\coloneqq}{\mathrel{\vcenter{\baselineskip0.5ex \lineskiplimit0pt
\hbox{\scriptsize.}\hbox{\scriptsize.}}}%
=}

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@ -60,7 +60,7 @@ parts that will be useful in the second part of the project: Showing that
\section{Problem}
%
In the following two subsections I present two examples that illustrate the
limitaiton inherent in ITT and by extension to the expressiveness of Agda.
limitation inherent in ITT and by extension to the expressiveness of Agda.
%
\subsection{Functional extensionality}
Consider the functions:
@ -71,7 +71,7 @@ $f \defeq (n : \bN) \mapsto (0 + n : \bN)$
$g \defeq (n : \bN) \mapsto (n + 0 : \bN)$
\end{multicols}
%
$n + 0$ is definitionally equal to $n$. We call this \nomen{defnitional
$n + 0$ is definitionally equal to $n$. We call this \nomen{definitional
equality} and write $n + 0 = n$ to assert this fact. We call it definitional
equality because the \emph{equality} arises from the \emph{definition} of $+$
which is:
@ -97,7 +97,7 @@ not true.} There is no way to construct a proof asserting the obvious
equivalence of $f$ and $g$ -- even though we can prove them equal for all
points. This is exactly the notion of equality of functions that we are
interested in; that they are equal for all inputs. We call this
\nomen{pointwise equality}. Where the \emph{points} of a function refers
\nomen{pointwise equality}, where the \emph{points} of a function refers
to it's arguments.
%
\iffalse
@ -142,7 +142,7 @@ $$(A \cong B) \cong (A \equiv B)$$
%
\subsection{Formalizing Category Theory}
%
The above examples serves to illustrate the limitation of Agda. One case where
The above examples serve to illustrate the limitation of Agda. One case where
these limitations are particularly prohibitive is in the study of Category
Theory. At a glance category theory can be described as ``the mathematical study
of (abstract) algebras of functions'' (\cite{awodey-2006}). So by that token
@ -157,17 +157,17 @@ typical example of a model is that of sets as models for predicate logic. Thus
set-theory becomes the meta-theory of the formal language of predicate logic.
In the context of a given type theory and restricting ourselves to
\emph{categorical} models a model will consists of mapping `things' from the
\emph{categorical} models a model will consist of mapping `things' from the
type-theory (types, terms, contexts, context morphisms) to `things' in the
meta-theory (objects, morphisms) in such a way that the axioms of the
type-theory (typing-rules) are validated in the meta-theory. In
\cite{dybjer-1995} the author describes a way of constructing such models for
dependent type theory called \emph{Categories with Families} (CwFs).
In \cite{bezem-2014} the authors device a CwF for Cubical Type Theory. This
In \cite{bezem-2014} the authors devise a CwF for Cubical Type Theory. This
project will study and formalize this model. Note that I will \emph{not} aim to
formalize CTT itself and therefore also not give the formal translation between
the type theory and the meta-theory. In stead the translation will be accounted
the type theory and the meta-theory. Instead the translation will be accounted
for informally.
%
\section{Context}
@ -195,7 +195,7 @@ these as axioms. This approach, however, has other shortcomings, e.g.; you lose
\nomen{canonicity} (\cite{huber-2016}). Canonicity means that any well-type
term will (under evaluation) reduce to a \emph{canonical} form. For example for
an integer $e : \bN$ it will be the case that $e$ is definitionally equal to $n$
application of $\mathit{suc}$ to $0$ for some $n$; $e = \mathit{suc}^n\ 0$.
applications of $\mathit{suc}$ to $0$ for some $n$; $e = \mathit{suc}^n\ 0$.
Without canonicity terms in the language can get ``stuck'' when they are
evaluated.