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\chapter{Introduction}
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\chapter{Introduction}
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This thesis is a case-study in the application of Cubical Agda in the
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context of category theory. At the center of this is the notion of
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\nomenindex{equality}. In type-theory there are two pervasive notions
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of equality: \nomenindex{judgmental equality} and
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\nomenindex{propositional equality}. Judgmental equality is a property
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of the type system, it is a property that is automatically checked by
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a type checker. As such there are some properties judgmental
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equalities must crucially have. It must be \nomenindex{decidable},
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\nomenindex{sound}, enjoy \nomenindex{canonicity} and be a
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\nomen{congruence relation}. Being decidable simply means that that an
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algorithm exists to decide whether two terms are equal. For any
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practical implementation the decidability must also be effectively
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computable. Soundness means that things judged to be equal actually
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\emph{are} considered equal. It must be a congruence relation because
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otherwise the relation certainly does not adhere to our notion of
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equality. One would be able to conclude things like: $x \nequiv y
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\rightarrow f\ x \equiv f\ y$. Canonicity will be explained later in
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this introduction after we've seen an example of judgmental- and
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propositional equality at play for a simple example.\TODO{How to
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motivate canonicity for equality}.
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For propositional equality the decidability requirement is relaxed. It
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is not in general possible to decide the correctness of logical
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propositions (cf. Hilbert's \nomen{entscheidigungsproblem}).
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Propositional equality are provided by the developer. When introducing
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definitions this report will use the notation $\defeq$. Judgmental
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equalities written $=$. For propositional equalities the notation
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$\equiv$ is used.
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The usual notion of propositional equality in \nomen{Intensional Type
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Theory} (ITT) is quite restrictive. In the next section a few
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motivating examples will highlight this. There exist techniques to
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circumvent these problems, as we shall see. This thesis will explore
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an extension to Agda that redefines the notion of propositional
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equality and as such is an alternative to these other techniques.
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%
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\section{Motivating examples}
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\section{Motivating examples}
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%
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%
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In the following two sections I present two examples that illustrate some
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In the following two sections I present two examples that illustrate
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limitations inherent in ITT and -- by extension -- Agda.
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some limitations inherent in ITT and -- by extension -- Agda.
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%
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%
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\subsection{Functional extensionality}
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\subsection{Functional extensionality}
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\label{sec:functional-extensionality}%
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\label{sec:functional-extensionality}%
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@ -18,9 +54,9 @@ Consider the functions:
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\end{equation*}%
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\end{equation*}%
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\end{multicols}%
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\end{multicols}%
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%
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%
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The term $n + 0$ is
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The term $n + 0$ is
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\nomenindex{definitionally} equal to $n$, which we
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\nomenindex{definitionally} equal to $n$, which we
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write as $n + 0 = n$. This is also called
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write as $n + 0 = n$. This is also called
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\nomenindex{judgmental equality}.
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\nomenindex{judgmental equality}.
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We call it definitional equality because the \emph{equality} arises
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We call it definitional equality because the \emph{equality} arises
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from the \emph{definition} of $+$ which is:
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from the \emph{definition} of $+$ which is:
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@ -39,35 +75,43 @@ as $n + 0 \equiv n$. Propositional equality means that there is a
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proof that exhibits this relation. Since equality is a transitive
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proof that exhibits this relation. Since equality is a transitive
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relation we have that $n + 0 \equiv 0 + n$.
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relation we have that $n + 0 \equiv 0 + n$.
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Unfortunately we don't have $f \equiv g$.\footnote{Actually showing this is
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Unfortunately we don't have $f \equiv g$. There is no way to construct
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outside the scope of this text. Essentially it would involve giving a model
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a proof asserting the obvious equivalence of $f$ and $g$. Actually
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for our type theory that validates all our axioms but where $f \equiv g$ is
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showing this is outside the scope of this text. Essentially it would
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not true.} There is no way to construct a proof asserting the obvious
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involve giving a model for our type theory that validates all our
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equivalence of $f$ and $g$ -- even though we can prove them equal for all
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axioms but where $f \equiv g$ is not true. We cannot show that they
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points. This is exactly the notion of equality of functions that we are
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are equal, even though we can prove them equal for all points. For
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interested in; that they are equal for all inputs. We call this
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functions this is exactly the notion of equality that we are
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interested in: Functions are considered equal when they are equal for
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all inputs. This is called \nomenindex{point wise equality}, where the
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\emph{points} of a function refer to its arguments.
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\nomenindex{point-wise equality}, where the \emph{points} of a function refers
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%% In the context of category theory functional extensionality is e.g.
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to its arguments.
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%% needed to show that representable functors are indeed functors. The
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%% representable functor is defined for a fixed category $\bC$ and an
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In the context of category theory functional extensionality is e.g. needed to
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%% object $X \in \bC$. It's map on objects is defined thus:
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show that representable functors are indeed functors. The representable functor
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%% %
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for a category $\bC$ and a fixed object in $A \in \bC$ is defined to be:
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%% \begin{align*}
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%
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%% \lambda\ A \to \Arrow\ X\ A
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\begin{align*}
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%% \end{align*}
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\fmap \defeq \lambda\ X \to \Hom_{\bC}(A, X)
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%% %
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\end{align*}
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%% That is, it maps objects to arrows. So, it's map on arrows must map an arrow $\Arrow\ A\ B$ to an
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%
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%% The map on objects is defined thus:
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The proof obligation that this satisfies the identity law of functors
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%% %
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($\fmap\ \idFun \equiv \idFun$) thus becomes:
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%% \begin{align*}
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%
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%% \lambda f \to
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\begin{align*}
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%% \end{align*}
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\Hom(A, \idFun_{\bX}) = (\lambda\ g \to \idFun \comp g) \equiv \idFun_{\Sets}
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%% %
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\end{align*}
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%% The proof obligation that this satisfies the identity law of functors
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%
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%% ($\fmap\ \idFun \equiv \idFun$) thus becomes:
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One needs functional extensionality to ``go under'' the function arrow and apply
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%% %
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the (left) identity law of the underlying category to prove $\idFun \comp g
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%% \begin{align*}
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\equiv g$ and thus close the goal.
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%% \Hom(A, \idFun_{\bX}) = (\lambda\ g \to \idFun \comp g) \equiv \idFun_{\Sets}
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%% \end{align*}
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%% %
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%% One needs functional extensionality to ``go under'' the function arrow and apply
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%% the (left) identity law of the underlying category to prove $\idFun \comp g
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%% \equiv g$ and thus close the goal.
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%
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%
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\subsection{Equality of isomorphic types}
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\subsection{Equality of isomorphic types}
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%
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%
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@ -75,7 +119,7 @@ Let $\top$ denote the unit type -- a type with a single constructor.
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In the propositions as types interpretation of type theory $\top$ is
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In the propositions as types interpretation of type theory $\top$ is
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the proposition that is always true. The type $A \x \top$ and $A$ has
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the proposition that is always true. The type $A \x \top$ and $A$ has
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an element for each $a \tp A$. So in a sense they have the same shape
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an element for each $a \tp A$. So in a sense they have the same shape
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(Greek;
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(Greek;
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\nomenindex{isomorphic}). The second element of the pair does not
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\nomenindex{isomorphic}). The second element of the pair does not
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add any ``interesting information''. It can be useful to identify such
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add any ``interesting information''. It can be useful to identify such
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types. In fact, it is quite commonplace in mathematics. Say we look at
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types. In fact, it is quite commonplace in mathematics. Say we look at
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@ -87,10 +131,11 @@ be performed in ITT.
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More specifically what we are interested in is a way of identifying
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More specifically what we are interested in is a way of identifying
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\nomenindex{equivalent} types. I will return to the definition of equivalence later
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\nomenindex{equivalent} types. I will return to the definition of
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in section \S\ref{sec:equiv}, but for now it is sufficient to think of an
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equivalence later in section \S\ref{sec:equiv}, but for now it is
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equivalence as a one-to-one correspondence. We write $A \simeq B$ to assert that
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sufficient to think of an equivalence as a one-to-one correspondence.
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$A$ and $B$ are equivalent types. The principle of univalence says that:
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We write $A \simeq B$ to assert that $A$ and $B$ are equivalent types.
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The principle of univalence says that:
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%
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%
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$$\mathit{univalence} \tp (A \simeq B) \simeq (A \equiv B)$$
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$$\mathit{univalence} \tp (A \simeq B) \simeq (A \equiv B)$$
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%
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%
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@ -119,25 +164,20 @@ implementations of category theory in Agda:
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%
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%
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\begin{itemize}
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\begin{itemize}
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\item
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\item
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A formalization in Agda using the setoid approach:
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\url{https://github.com/copumpkin/categories}
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\url{https://github.com/copumpkin/categories}
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A formalization in Agda using the setoid approach
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\item
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\item
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A formalization in Agda with univalence and functional
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extensionality as postulates:
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\url{https://github.com/pcapriotti/agda-categories}
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\url{https://github.com/pcapriotti/agda-categories}
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A formalization in Agda with univalence and functional extensionality as
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postulates.
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\item
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\item
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A formalization in Coq in the homotopic setting:
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\url{https://github.com/HoTT/HoTT/tree/master/theories/Categories}
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\url{https://github.com/HoTT/HoTT/tree/master/theories/Categories}
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A formalization in Coq in the homotopic setting
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\item
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\item
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\url{https://github.com/mortberg/cubicaltt}
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A formalization in CubicalTT - a language designed for cubical type theory.
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A formalization in CubicalTT - a language designed for cubical type theory.
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Formalizes many different things, but only a few concepts from category
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Formalizes many different things, but only a few concepts from category
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theory.
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theory:
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\url{https://github.com/mortberg/cubicaltt}
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\end{itemize}
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\end{itemize}
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%
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%
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The contribution of this thesis is to explore how working in a cubical setting
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The contribution of this thesis is to explore how working in a cubical setting
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@ -158,7 +198,7 @@ canonical form.
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Another approach is to use the \emph{setoid interpretation} of type
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Another approach is to use the \emph{setoid interpretation} of type
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theory (\cite{hofmann-1995,huber-2016}). With this approach one works
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theory (\cite{hofmann-1995,huber-2016}). With this approach one works
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with
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with
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\nomenindex{extensional sets} $(X, \sim)$, that is a type $X \tp \MCU$
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\nomenindex{extensional sets} $(X, \sim)$, that is a type $X \tp \MCU$
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and an equivalence relation $\sim\ \tp X \to X \to \MCU$ on that type.
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and an equivalence relation $\sim\ \tp X \to X \to \MCU$ on that type.
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Under the setoid interpretation the equivalence relation serve as a
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Under the setoid interpretation the equivalence relation serve as a
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@ -178,18 +218,18 @@ inherently `local' to the extensional set $(X , \sim)$.
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\TODO{Talk a bit about terminology. Find a good place to stuff this little
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\TODO{Talk a bit about terminology. Find a good place to stuff this little
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section.}
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section.}
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In the remainder of this paper I will use the term
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In the remainder of this paper I will use the term
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\nomenindex{Type} to describe --
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\nomenindex{Type} to describe --
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well, types. Thereby diverging from the notation in Agda where the keyword
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well, types. Thereby diverging from the notation in Agda where the keyword
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\texttt{Set} refers to types.
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\texttt{Set} refers to types.
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\nomenindex{Set} on the other hand shall refer to the
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\nomenindex{Set} on the other hand shall refer to the
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homotopical notion of a set. I will also leave all universe levels implicit.
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homotopical notion of a set. I will also leave all universe levels implicit.
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And I use the term
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And I use the term
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\nomenindex{arrow} to refer to morphisms in a category,
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\nomenindex{arrow} to refer to morphisms in a category,
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whereas the terms
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whereas the terms
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\nomenindex{morphism},
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\nomenindex{morphism},
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\nomenindex{map} or
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\nomenindex{map} or
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\nomenindex{function}
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\nomenindex{function}
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shall be reserved for talking about type theoretic functions; i.e.
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shall be reserved for talking about type theoretic functions; i.e.
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functions in Agda.
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functions in Agda.
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