\chapter{Introduction} This thesis is a case study in the application of cubical Agda to the formalization of category theory. At the center of this is the notion of \nomenindex{equality}. There are two pervasive notions of equality in type theory: \nomenindex{judgmental equality} and \nomenindex{propositional equality}. Judgmental equality is a property of the type system. Propositional equality on the other hand is usually defined \emph{within} the system. When introducing definitions this report will use the symbol $\defeq$. Judgmental equalities will be denoted with $=$ and for propositional equalities the notation $\equiv$ is used. The rules of judgmental equality are related with $β$- and $η$-reduction, which gives a notion of computation in a given type theory. % There are some properties that one usually want judgmental equality to satisfy. It must be \nomenindex{sound}, enjoy \nomenindex{canonicity} and be a \nomenindex{congruence relation}. Soundness means that things judged to be equal are equal with respects to the \nomenindex{model} of the theory or the \emph{meta theory}. It must be a congruence relation, because otherwise the relation certainly does not adhere to our notion of equality. E.g.\ One would be able to conclude things like: $x \equiv y \rightarrow f\ x \nequiv f\ y$. Canonicity means that any well typed term evaluates to a \emph{canonical} form. For example, for a closed term $e \tp \bN$, it will be the case that $e$ reduces to $n$ applications of $\mathit{suc}$ to $0$ for some $n$; i.e.\ $e = \mathit{suc}^n\ 0$. Without canonicity terms in the language can get ``stuck'', meaning that they do not reduce to a canonical form. For a system to work as a programming languages it is necessary for judgmental equality to be \nomenindex{decidable}. Being decidable simply means that that an algorithm exists to decide whether two terms are equal. For any practical implementation, the decidability must also be effectively computable. For propositional equality the decidability requirement is relaxed. It is not in general possible to decide the correctness of logical propositions (cf.\ Hilbert's \emph{entscheidigungsproblem}). There are two flavors of type-theory. \emph{Intensional-} and \emph{extensional-} type theory (ITT and ETT respectively). Identity types in extensional type theory are required to be \nomen{propositions}{proposition}. That is, a type with at most one inhabitant. In extensional type theory the principle of reflection % $$a ≡ b → a = b$$ % is enough to make type checking undecidable. This report focuses on Agda, which at a glance can be thought of as a version of intensional type theory. Pattern-matching in regular Agda lets one prove \nomenindex{Uniqueness of Identity Proofs} (UIP). UIP states that any two identity proofs are propositionally identical. The usual notion of propositional equality in ITT is quite restrictive. In the next section a few motivating examples will be presented that highlight. There exist techniques to circumvent these problems, as we shall see. This thesis will explore an extension to Agda that redefines the notion of propositional equality and as such is an alternative to these other techniques. The extension is called cubical Agda. Cubical Agda drops UIP, as it does not permit \nomenindex{functional extensionality} nor \nomenindex{univalence}. What makes cubical Agda particularly interesting is that it gives a \emph{constructive} interpretation of univalence. What all this means will be elaborated in the following sections. % \section{Motivating examples} % In the following two sections I present two examples that illustrate some limitations inherent in ITT and, by extension, Agda. % \subsection{Functional extensionality} \label{sec:functional-extensionality}% Consider the functions: % \begin{align*}% \var{zeroLeft} & \defeq λ\; (n \tp \bN) \to (0 + n \tp \bN) \\ \var{zeroRight} & \defeq λ\; (n \tp \bN) \to (n + 0 \tp \bN) \end{align*}% % The term $n + 0$ is \nomenindex{definitionally} equal to $n$, which we write as $n + 0 = n$. This is also called \nomenindex{judgmental equality}. We call it definitional equality because the \emph{equality} arises from the \emph{definition} of $+$, which is: % \begin{align*} + & \tp \bN \to \bN \to \bN \\ n + 0 & \defeq n \\ n + (\suc{m}) & \defeq \suc{(n + m)} \end{align*} % Note that $0 + n$ is \emph{not} definitionally equal to $n$. This is because $0 + n$ is in normal form. I.e.\ there is no rule for $+$ whose left hand side matches this expression. We do, however, have that they are \nomen{propositionally}{propositional equality} equal, which we write as $n \equiv n + 0$. Propositional equality means that there is a proof that exhibits this relation. We can do induction over $n$ to prove this: % \begin{align} \label{eq:zrn} \begin{split} \var{zrn}\ & \tp ∀ n → n ≡ \var{zeroRight}\ n \\ \var{zrn}\ \var{zero} & \defeq \var{refl} \\ \var{zrn}\ (\var{suc}\ n) & \defeq \var{cong}\ \var{suc}\ (\var{zrn}\ n) \end{split} \end{align} % This show that zero is a right neutral element (hence the name $\var{zrn}$). Since equality is a transitive relation we have that $\forall n \to \var{zeroLeft}\ n \equiv \var{zeroRight}\ n$. Unfortunately we don't have $\var{zeroLeft} \equiv \var{zeroRight}$. There is no way to construct a proof asserting the obvious equivalence of $\var{zeroLeft}$ and $\var{zeroRight}$. Actually showing this is outside the scope of this text. It would essentially involve giving a model for our type theory that validates all our axioms but where $\var{zeroLeft} \equiv \var{zeroRight}$ is not true. We cannot show that they are equal even though we can prove them equal for all points. This is exactly the notion of equality that we are interested in for functions: Functions are considered equal when they are equal for all inputs. This is called \nomenindex{pointwise equality} where \emph{points} of a function refer to its arguments. % \subsection{Equality of isomorphic types} % Let $\top$ denote the unit type -- a type with a single constructor. In the propositions as types interpretation of type theory $\top$ is the proposition that is always true. The type $A \x \top$ and $A$ has an element for each $a \tp A$. So in a sense they have the same shape (Greek; \nomenindex{isomorphic}). The second element of the pair does not add any ``interesting information''. It can be useful to identify such types. In fact it is quite commonplace in mathematics. Say we look at a set $\{x \mid \phi\ x \land \psi\ x\}$ and somehow conclude that $\psi\ x \equiv \top$ for all $x$. A mathematician would immediately conclude $\{x \mid \phi\ x \land \psi\ x\} \equiv \{x \mid \phi\ x\}$ without thinking twice. Unfortunately such an identification can not be performed in ITT. More specifically what we are interested in is a way of identifying \nomenindex{equivalent} types. I will return to the definition of equivalence later in section \S\ref{sec:equiv}, but for now it is sufficient to think of an equivalence as a one-to-one correspondence. We write $A \simeq B$ to assert that $A$ and $B$ are equivalent types. The principle of univalence says that: % $$\mathit{univalence} \tp (A \simeq B) \simeq (A \equiv B)$$ % In particular this allows us to construct an equality from an equivalence % $$\mathit{ua} \tp (A \simeq B) \to (A \equiv B)$$ % and vice versa. \section{Formalizing Category Theory} % The above examples serve to illustrate a limitation of ITT. 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}). By that token functional extensionality is particularly useful for formulating Category Theory. In Category theory it is also commonplace to identify isomorphic structures. Univalence gives us a way to make this notion precise. In fact we can formulate this requirement within our formulation of categories by requiring the \emph{categories} themselves to be univalent as we shall see in section \S\ref{sec:univalence}. \section{Context} \label{sec:context} % The idea of formalizing Category Theory in proof assistants is not new. There are a multitude of these available online. Notably: % \begin{itemize} \item A formalization in Agda using the setoid approach: \url{https://github.com/copumpkin/categories} \item A formalization in Agda with univalence and functional extensionality as postulates: \url{https://github.com/pcapriotti/agda-categories} \item A formalization in Coq in the homotopic setting: \url{https://github.com/HoTT/HoTT/tree/master/theories/Categories} \item A formalization in \emph{CubicalTT} -- a language designed for cubical type theory. Formalizes many different things, but only a few concepts from category theory: \url{https://github.com/mortberg/cubicaltt} \end{itemize} % The contribution of this thesis is to explore how working in a cubical setting will make it possible to prove more things, to reuse proofs and to compare some aspects of this formalization with the existing ones. There are alternative approaches to working in a cubical setting where one can still have univalence and functional extensionality. One option is to postulate these as axioms. This approach, however, has other shortcomings, e.g.\ you lose \nomenindex{canonicity} (\cite[p.\ 3]{huber-2016}). Another approach is to use the \emph{setoid interpretation} of type theory (\cite{hofmann-1995,huber-2016}). With this approach one works with \nomenindex{extensional sets} $(X, \sim)$. That is a type $X \tp \MCU$ and an equivalence relation $\sim\ \tp X \to X \to \MCU$ on that type. Under the setoid interpretation the equivalence relation serve as a sort of ``local'' propositional equality. Since the developer gets to pick this relation, it is not a~priori a congruence relation. It must be manually verified by the developer. Furthermore, functions between different setoids must be shown to be setoid homomorphism, that is; they preserve the relation. This approach has other drawbacks: It does not satisfy all propositional equalities of type theory a~priori. That is, the developer must manually show that e.g.\ the relation is a congruence. Equational proofs $a \sim_{X} b$ are in some sense `local' to the extensional set $(X , \sim)$. To e.g.\ prove that $x ∼ y → f\ x ∼ f\ y$ for some function $f \tp A → B$ between two extensional sets $A$ and $B$ it must be shown that $f$ is a groupoid homomorphism. This makes it very cumbersome to work with in practice (\cite[p. 4]{huber-2016}). \section{Conventions} In the remainder of this thesis I will use the term \nomenindex{Type} to describe -- well -- types; thereby departing from the notation in Agda where the keyword \texttt{Set} refers to types. \nomenindex{Set}, on the other hand, shall refer to the homotopical notion of a set. I will also leave all universe levels implicit. This of course does not mean that a statement such as $\MCU \tp \MCU$ means that we have type-in-type but rather that the arguments to the universes are implicit. I use the term \nomenindex{arrow} to refer to morphisms in a category, whereas the terms \nomenindex{morphism}, \nomenindex{map} or \nomenindex{function} shall be reserved for talking about type theoretic functions; i.e.\ functions in Agda. As already noted $\defeq$ will be used for introducing definitions $=$ will be used to for judgmental equality and $\equiv$ will be used for propositional equality. All this is summarized in the following table: % \begin{samepage} \begin{center} \begin{tabular}{ c c c } Name & Agda & Notation \\ \hline \varindex{Type} & \texttt{Set} & $\Type$ \\ \varindex{Set} & \texttt{Σ Set IsSet} & $\Set$ \\ Function, morphism, map & \texttt{A → B} & $A → B$ \\ Dependent- ditto & \texttt{(a : A) → B} & $∏_{a \tp A} B$ \\ \varindex{Arrow} & \texttt{Arrow A B} & $\Arrow\ A\ B$ \\ \varindex{Object} & \texttt{C.Object} & $̱ℂ.Object$ \\ Definition & \texttt{=} & $̱\defeq$ \\ Judgmental equality & \null & $̱=$ \\ Propositional equality & \null & $̱\equiv$ \end{tabular} \end{center} \end{samepage}