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\newcommand{\coproduct}{\coprod} \newcommand{\product}{\prod} \newcommand{\closure}{\overline} \newcommand{\integral}{\int} \newcommand{\doubleintegral}{\iint} \newcommand{\tripleintegral}{\iiint} \newcommand{\quadrupleintegral}{\iiiint} \newcommand{\conint}{\oint} \newcommand{\contourintegral}{\oint} \newcommand{\infinity}{\infty} \newcommand{\bottom}{\bot} \newcommand{\minusb}{\boxminus} \newcommand{\plusb}{\boxplus} \newcommand{\timesb}{\boxtimes} \newcommand{\intersection}{\cap} \newcommand{\union}{\cup} \newcommand{\Del}{\nabla} \newcommand{\odash}{\circleddash} \newcommand{\negspace}{\!} \newcommand{\widebar}{\overline} \newcommand{\textsize}{\normalsize} \renewcommand{\scriptsize}{\scriptstyle} \newcommand{\scriptscriptsize}{\scriptscriptstyle} \newcommand{\mathfr}{\mathfrak} \newcommand{\statusline}[2]{#2} \newcommand{\tooltip}[2]{#2} \newcommand{\toggle}[2]{#2} % Theorem Environments \theoremstyle{plain} \newtheorem{theorem}{Theorem} \newtheorem{lemma}{Lemma} \newtheorem{prop}{Proposition} \newtheorem{cor}{Corollary} \newtheorem*{utheorem}{Theorem} \newtheorem*{ulemma}{Lemma} \newtheorem*{uprop}{Proposition} \newtheorem*{ucor}{Corollary} \theoremstyle{definition} \newtheorem{defn}{Definition} \newtheorem{example}{Example} \newtheorem*{udefn}{Definition} \newtheorem*{uexample}{Example} \theoremstyle{remark} \newtheorem{remark}{Remark} \newtheorem{note}{Note} \newtheorem*{uremark}{Remark} \newtheorem*{unote}{Note} %------------------------------------------------------------------- \begin{document} %------------------------------------------------------------------- \section*{currying} \hypertarget{currying}{}\section*{{Currying}}\label{currying} \noindent\hyperlink{idea}{Idea}\dotfill \pageref*{idea} \linebreak \noindent\hyperlink{definitions}{Definitions}\dotfill \pageref*{definitions} \linebreak \noindent\hyperlink{in_lambda_calculus_and_cccs}{In lambda calculus and CCCs}\dotfill \pageref*{in_lambda_calculus_and_cccs} \linebreak \noindent\hyperlink{in_general}{In general}\dotfill \pageref*{in_general} \linebreak \noindent\hyperlink{currying_in_which_variables}{Currying in which variable(s)?}\dotfill \pageref*{currying_in_which_variables} \linebreak \hypertarget{idea}{}\subsection*{{Idea}}\label{idea} Currying is a process of transforming an operation on two variables into an operation on one variable that returns a function taking the second variable as an argument. The term is used in [[computer science]] and the [[lambda calculus]], where it is often technically important to have operations that act on only one variable at a time. But [[category theory]] also recognises it as a [[natural isomorphism]] in a [[closed monoidal category]], namely the [[universal property]] of an [[exponential object]]; thus it is also known as taking the \textbf{exponential transpose}. The [[inverse]] operation is, in the straightforward style of [[computer science]], called \textbf{uncurrying}. Currying is named after [[Haskell Curry]], in accordance with [[Baez's law]], since it was invented by [[Moses Schonfinkel|Moses Schönfinkel]]. (Perhaps Curry helped popularize the application to lambda calculus?) \hypertarget{definitions}{}\subsection*{{Definitions}}\label{definitions} Since most people are familiar with [[Set]], we work there first. In $Set$, currying transforms a [[function]] defined on a [[cartesian product]] to a function that takes values in a [[function set]]. That is, starting with \begin{displaymath} f\colon X \times Y \to Z , \end{displaymath} we \textbf{curry} $f$ to produce \begin{displaymath} \hat{f}\colon X \to Z ^ Y \end{displaymath} according to the formula \begin{displaymath} \hat{f}(x) = (y \mapsto f(x, y)). \end{displaymath} This is simply applying the universal property of the [[exponential object]] $Z^Y$. \hypertarget{in_lambda_calculus_and_cccs}{}\subsubsection*{{In lambda calculus and CCCs}}\label{in_lambda_calculus_and_cccs} Similarly, in [[lambda calculus]], currying is a device which reduces the study of functions in several arguments to functions in one argument. For example, if $\phi$ is a lambda term in which variables $x$ and $y$ occur freely (so that $\phi$ is effectively a ``function'' of $x$ and $y$), the lambda calculus syntax favors the currified expression $\lambda x. \lambda y. \phi$, which denotes the intuitive expression $x \mapsto (y \mapsto \phi)$, where one abstracts variables one at a time. Later it was observed (by Lawvere) that this is just a special case of a more general ``curryfication'' for [[cartesian closed categories]] (such as [[Cat]] or a [[nice category of spaces]]), where one has a natural bijection of morphisms: \begin{displaymath} \frac{X \times Y \to Z}{X \to Z^Y} \end{displaymath} Indeed, cartesian closed categories are models for lambda calculus. \hypertarget{in_general}{}\subsubsection*{{In general}}\label{in_general} In fact, currying can be done in any (right) [[closed monoidal category]]. In that case, currying transforms a [[morphism]] whose [[source]] is a [[tensor product]] to a morphism whose [[target]] is an [[internal hom]]. That is, starting with \begin{displaymath} f\colon X \otimes Y \to Z , \end{displaymath} we \textbf{curry} $f$ to produce \begin{displaymath} \hat{f}\colon X \to [Y, Z] . \end{displaymath} Currying is invertible and natural in $X, Y, Z$; that is, $f \mapsto \hat{f}$ is a [[natural isomorphism]] (in any closed monoidal category). \hypertarget{currying_in_which_variables}{}\subsection*{{Currying in which variable(s)?}}\label{currying_in_which_variables} By convention, currying is always done on the \emph{last} variable. This fits in very nicely with a convention that products associate on the left while internal homs associate on the right. More explicitly, if we use (as is common in computer science) `$\times$' for the product (even if it is not cartesian) and `$to$' for the internal hom (so that we must use another symbol, say `$\vdash$', for the external hom), then we need no parentheses to generalise currying \begin{displaymath} f\colon X \times Y \vdash Z \end{displaymath} to produce \begin{displaymath} \hat{f}\colon X \vdash Y \to Z ; \end{displaymath} by currying several $n-1$ times in succession, we turn \begin{displaymath} f\colon X_1 \times \cdots \times X_n \vdash Z \end{displaymath} into \begin{displaymath} \hat{\overset\vdots{\hat{f}}}\colon X_1 \vdash X_2 \to \cdots \to X_n \to Z . \end{displaymath} This does not generalise to $n = 0$, which is one way to see that even the untyped lambda calculus actually has two objects, one of which is a [[terminal object]] $1$ and one of which can play every other role. In a closed [[braided monoidal category]] (such as a closed [[symmetric monoidal category]], and including the cartesian closed categories such as $Set$ and the models of lambda calculus), we can also `curry through the first variable' or `co-curry' to produce a map \begin{displaymath} \check{f}\colon Y \vdash X \to Z , \end{displaymath} but computer scientists (or even mathematicians who are being very careful) will see this as a composite operation whose first step is [[composition]] with the [[braiding]] $Y \times X \vdash X \times Y$. In a left closed monoidal category, currying does not exist, but cocurrying does. Perhaps the product should associate on the right in a left closed monoidal category? [[!redirects uncurrying]] [[!redirects curried]] [[!redirects uncurried]] [[!redirects exponential transpose]] \end{document}