Homotopy Type Theory homotopy type theory > history (Rev #40)

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\tableofcontents

\section{Idea}

Homotopy type theory is a framework of dependent type theories which additionally consists of

• identity types

• dependent product types

• dependent sum types

• univalence

• inductive types, higher inductive types, inductive type families, et cetera.

\section{Presentation}

The model of homotopy type theory we shall be presenting here is the objective type theory version of homotopy type theory. There are multiple reasons for this:

• Since objective type theory lacks definitional equality,

  • The ruleset is simpler in the objective type theory model of homotopy type theory than other models such as Martin-Löf type theory, cubical type theory, or higher observational type theory

  • The results in objective type theory are more general than in models which use definitional equality

  • It is similar to other non-type theory foundations such as the various flavors of set theory, since it also only has one notion of equality, which is propositional equality in both objective type theory and set theory, and uses propositional equality to define terms and types.

• From a more practical standpoint, objective type theory not only has decidable type checking, it has polynomial (quadratic) time type checking, which makes it efficient from a computational standpoint.

In a similar manner, for simplicity and ease of presentation, we shall also follow the HoTT book in not including a separate $A \; \mathrm{type}$ judgment and rather stipulating that every type is an element of a Russell universe.

\subsection{Judgments and contexts}

Objective type theory consists of three judgments: typing judgments, where we judge $a$ to be an element of $A$, $a:A$, and context judgments, where we judge $\Gamma$ to be a context, $\Gamma \; \mathrm{ctx}$. Contexts are lists of typing judgments $a:A$, $b:B$, $c:C$, et cetera, and are formalized by the rules for the empty context and extending the context by a typing judgment

\subsection{Structural rules}

There are three structural rules in objective type theory, the variable rule?, the weakening rule?, and the substitution rule?.

The variable rule states that we may derive a typing judgment if the typing judgment is in the context already:

Let $\mathcal{J}$ be any arbitrary judgment. Then we have the following rules:

The weakening rule:

The substitution rule:

The weakening and substitution rules are admissible rules: they do not need to be explicitly included in the type theory as they could be proven by induction on the structure of all possible derivations.

\subsection{Universes}

We assume an infinite hierarchy of universes

such that the following rules hold

\subsection{Sections and dependent types}

A section is a term $b:B$ in the context of the variable judgment $x:A$, $x:A \vdash b:B$. Sections are usually written as $b(x)$ to indicate its dependence upon $x$.

A dependent type is a section of a universe $B:\mathcal{U}_i$ in the context of the variable judgment $x:A$, $x:A \vdash B:\mathcal{U}_i$.

\subsection{Identity types}

Equality in objective type theory is represented by the identity type, which is also called the path type or identification type. The terms of the identity type could be called paths or identifications.

Equality comes with a formation rule, an introduction rule, an elimination rule, and a computation rule:

Formation rule for identity types:

Introduction rule for identity types:

Elimination rule for identity types:

Computation rules for identity types:

The uniqueness rule for identity types? is usually not included in objective type theory. However, if it were included in objective type theory it turns the type theory into a set-level type theory?.

\subsection{Definitions}

Parts of the following section is adapted from Egbert Rijke’s Introduction to Homotopy Type Theory?:

We can make definitions at the end of a derivation if the conclusion is a certain term of a type in context, where we have a derivation

if we wish to make a definition $b \coloneqq a$, then we can extend the derivation tree with

The effect of such a definition is that we have extended our type theory with a new constant $b$, for which the following inference rules are valid

Since types are terms of universes we could define types in the same way as we do other terms.

\subsection{Function types}

Formation rules for function types:

Introduction rules for function types:

Elimination rules for function types:

Computation rules for function types:

Uniqueness rules for function types:

\subsection{Pi types}

Formation rules for Pi types:

Introduction rules for Pi types:

Elimination rules for Pi types:

Computation rules for Pi types:

Uniqueness rules for Pi types:

\subsection{Product types}

We use the negative presentation for product types.

Formation rules for product types:

Introduction rules for product types:

Elimination rules for product types:

Computation rules for product types:

Uniqueness rules for product types:

\subsection{Sigma types}

We use the negative presentation for sigma types.

Formation rules for Sigma types:

Introduction rules for Sigma types:

Elimination rules for Sigma types:

Computation rules for Sigma types:

Uniqueness rules for Sigma types:

\subsection{Sum types}

Formation rules for sum types:

Introduction rules for sum types:

Elimination rules for sum types:

Computation rules for sum types:

Uniqueness rules for sum types:

\subsection{Empty type}

Formation rules for the empty type:

Elimination rules for the empty type:

Uniqueness rules for the empty type:

\subsection{Unit type}

Formation rules for the unit type:

Introduction rules for the unit type:

Elimination rules for the unit type:

Computation rules for the unit type:

Uniqueness rules for the unit type:

\subsection{Booleans}

Formation rules for the booleans:

Introduction rules for the booleans:

Elimination rules for the booleans:

Computation rules for the booleans:

Uniqueness rules for the booleans:

\subsection{Natural numbers}

Formation rules for the natural numbers:

Introduction rules for the natural numbers:

Elimination rules for the natural numbers:

Computation rules for the natural numbers:

Uniqueness rules for the natural numbers:

\subsection{Equivalences types}

The type of equivalences is given by the type

The elements $g:\sum_{f:A \to B} \mathrm{isEquiv}(f)$ are equivalences between $A$ and $B$.

…

\subsection{Transport}

Transport is the statement that given a type family $P$ indexed by $A$ and elements $a:A$ and $b:A$, there is a function $\mathrm{trans}^P(a, b):(a =_A b) \to (P(a) \simeq P(b))$ from the identity type of $a$ and $b$ to the type of equivalences between the types $P(a)$ and $P(b)$. This is inductively defined on reflexivity on $a:A$, which transport takes to the identity function on $P(a)$, $\mathrm{trans}^P(a, a, \mathrm{refl}_A(a)) =_{P(a) \simeq P(a)} id_{P(a)}$.

Transport is given by the following rules:

Transport is very important in defining higher inductive types in objective type theory.

\subsection{Dependent identity types}

We define the dependent identity type? as follows:

\subsection{Dependent actions on identifications}

Additionally, for a term $f:P$ in the context of $x:A$, there is a dependent identification? called the dependent action on identifications? $\mathrm{apd}(f)(p):f(x) =_P^p f(y)$ for all $x:A$, $y:A$, and $p:x =_A y$, inductively defined by reflexivity for all $x:A$.

The rules for $\mathrm{apd}$ are as follows

\section{References}

• Homotopy Type Theory: Univalent Foundations of Mathematics, The Univalent Foundations Program, Institute for Advanced Study, 2013. (web, pdf)

• Egbert Rijke, Introduction to Homotopy Type Theory, Cambridge Studies in Advanced Mathematics, Cambridge University Press (pdf) (478 pages)

• Benno van den Berg, Martijn den Besten, Quadratic type checking for objective type theory (arXiv:2102.00905)

\section{See also}

• dependent type theory
• ETCS as a dependent type theory
• cohesive homotopy type theory

\section{External links}

• the nLab’s article on homotopy type theory