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Start of embeddings chapter
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@ -14,3 +14,5 @@ Just run `make` here to build everything, including the book `frap.pdf` and the
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* Chapter 7: `AbstractInterpretation.v`
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* Chapter 8: `LambdaCalculusAndTypeSoundness.v`
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* Chapter 9: `TypesAndMutation.v`
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* Chapter 10: `HoareLogic.v`
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* Chapter 11: `DeepAndShallowEmbeddings.v`
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105
frap_book.tex
105
frap_book.tex
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\numberwithin{section}{chapter}
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\numberwithin{equation}{chapter}
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% For a single index; for multiple indexes, see the manual
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% "Instructions for preparation of papers and monographs:
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% AMS-LaTeX" (instr-l.pdf in the AMS-LaTeX distribution).
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\makeindex
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\begin{document}
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\title{Formal Reasoning About Programs}
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% Remove any unused author tags.
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% author one information
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\author{Adam Chlipala}
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\address{MIT, Cambridge, MA, USA}
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\email{adamc@csail.mit.edu}
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\medskip
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\encoding
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\label{metalanguage}
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We close the chapter with an important note on terminology.
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A formula like $P(\size{\mathsf{Plus}(\mathsf{Var}(x), \mathsf{Const}(7))})$ combines several levels of notation.
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We consider that we are doing our mathematical reasoning in some \emph{metalanguage}\index{metalanguage}, which is often applicable to a wide variety of proof tasks.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\chapter{Semantics via Interpreters}
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\chapter{\label{interpreters}Semantics via Interpreters}
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That's enough about what programs \emph{look like}.
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Let's shift our attention to what programs \emph{mean}.
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@ -2907,6 +2902,102 @@ In fact, we can prove that any other state is unstuck, though we won't bother he
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\end{proof}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\chapter{Deep Embeddings, Shallow Embeddings, and Options in Between}
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So far, in this book, we have followed the typographic conventions of ordinary mathematics and logic, as they would be worked out on whiteboards.
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In parallel, we have mechanized all of the definitions and proofs in Coq.
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Often little tidbits of encoding challenge show up in mechanizing the proofs.
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As formal languages get more complex, it becomes more and more important to choose the right encoding.
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For instance, in the previous chapter, we repeatedly jumped through hoops to track the local variables of programs, threading variable valuations $v$ throughout everything.
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Coq already has built into it a respectable notion of variables; can we somehow reuse that mechanism, rather than roll our own new one?
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This chapter gives a ``yes'' answer, working toward redefining last chapter's Hoare logic in a lighter-weight manner, along the way introducing some key terminology that is used to classify encoding choices.
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Since whiteboard math doesn't usually bother with encoding details, here we must break with our convention of using only standard notation in the book.
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Instead, we will use notation closer to literal Coq code, and, in fact, more of the technical action than usual is only found in the accompanying Coq source file.
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\section{The Basics}
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Recall some terminology introduced in Section \ref{metalanguage}: every formal proof is carried out in some \emph{metalanguage}\index{metalanguage}, which, in our case, is Coq's logic and programming language called Gallina\index{Gallina}.
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A syntactic language that we formalize is called an \emph{object language}\index{object language}.
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Often it is convenient to do reasoning without any particular object language, as in this simple arithmetic function that can be defined directly in Gallina.
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\newcommand{\mt}[1]{\mathsf{#1}}
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\begin{eqnarray*}
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\mt{foo} &=& \lambda(x, y). \; \elet{u}{x + y}{\elet{v}{u \times y}{u + v}}
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\end{eqnarray*}
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However, it is difficult to prove some important facts about terms encoded directly in the metalanguage.
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For instance, we can't easily do induction over the syntax of all such terms.
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To allow that kind of induction, we can define an object language inductively.
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\begin{eqnarray*}
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\mt{Const} &:& \mathbb N \to \mt{exp} \\
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\mt{Var} &:& \mathbb V \to \mt{exp} \\
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\mt{Plus} &:& \mt{exp} \to \mt{exp} \to \mt{exp} \\
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\mt{Times} &:& \mt{exp} \to \mt{exp} \to \mt{exp} \\
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\mt{Let} &:& \mathbb V \to \mt{exp} \to \mt{exp} \to \mt{exp}
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\end{eqnarray*}
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That last example program, with implicit \emph{free variables}\index{free variables} $x$ and $y$, may now be redefined in the $\mt{exp}$ type.
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\newcommand{\var}[1]{\mt{Var} \; \textrm{``#1''}}
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\begin{eqnarray*}
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\mt{foo'} &=& \mt{Let} \; (\var{u}) \; (\mt{Plus} \; (\var{x}) \; (\var{y})) \; (\mt{Let} \; (\var{v}) \\
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&& \hspace{.1in} (\mt{Times} \; (\var{u}) \; (\var{y})) \; (\mt{Plus} \; (\var{u}) \; (\var{v})))
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\end{eqnarray*}
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As in Chapter \ref{interpreters}, we can define a recursive interpreter, mapping $\mt{exp}$ programs and variable valuations to numbers.
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Using that interpreter, we can prove equivalence of $\mt{foo}$ and $\mt{foo'}$.
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We say that $\mt{foo}$ uses a \emph{shallow embedding}\index{shallow embedding}, because it is coded directly in the metalanguage, with no extra layer of syntax.
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Conversely, $\mt{foo'}$ uses a \emph{deep embedding}\index{deep embedding}, since it goes via the inductively defined $\mt{exp}$ type.
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These extremes are not our only options.
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In higher-order logics like Coq's, we may also choose what might be called \emph{mixed embeddings}\index{mixed embedding}, which define syntax-tree types that allow some use of general functions from the metalanguage.
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Here's an example, as an alternative definition of $\mt{exp}$.
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\begin{eqnarray*}
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\mt{Const} &:& \mathbb N \to \mt{exp} \\
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\mt{Var} &:& \mathbb V \to \mt{exp} \\
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\mt{Plus} &:& \mt{exp} \to \mt{exp} \to \mt{exp} \\
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\mt{Times} &:& \mt{exp} \to \mt{exp} \to \mt{exp} \\
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\mt{Let} &:& \mt{exp} \to (\mathbb N \to \mt{exp}) \to \mt{exp}
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\end{eqnarray*}
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The one change is in the type of the $\mt{Let}$ constructor, where now no variable name is given, and instead \emph{the body of the ``let'' is represented as a Gallina function from numbers to expressions}.
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The intent is that the body is called on the number that results from evaluating the first expression.
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This style is called \emph{higher-order abstract syntax}\index{higher-order abstract syntax}.
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Though that term is often applied to a more specific instance of the technique, which is not exactly the one applied here, we will not be so picky.
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As an illustration of the technique in action, here's our third encoding of the simple example program.
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\begin{eqnarray*}
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\mt{foo''} &=& \mt{Let} \; (\mt{Plus} \; (\var{x}) \; (\var{y})) \; (\lambda u. \\
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&& \hspace{.1in} \mt{Let} \; (\mt{Times} \; (\mt{Const} \; u) \; (\var{y})) \; (\lambda v. \\
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&& \hspace{.2in} \mt{Plus} \; (\mt{Const} \; u) \; (\mt{Const} \; v)))
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\end{eqnarray*}
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With a bit of subtlety, we can define an interpreter for this language, too.
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\begin{eqnarray*}
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\denote{\mt{Const} \; n}v &=& n \\
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\denote{\mt{Var} \; x}v &=& \msel{v}{x} \\
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\denote{\mt{Plus} \; e_1 \; e_2}v &=& \denote{e_1}v + \denote{e_2}v \\
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\denote{\mt{Times} \; e_1 \; e_2}v &=& \denote{e_1}v \times \denote{e_2}v \\
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\denote{\mt{Let} \; e_1 \; e_2}v &=& \denote{e_2(\denote{e_1}v)}v
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\end{eqnarray*}
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Note how, in the $\mt{Let}$ case, since the body $e_2$ is a function, before evaluating it, we call it on the result of evaluating $e_1$.
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This language would actually be sufficient even if we removed the $\mt{Var}$ constructor and the $v$ argument of the interpreter.
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Coq's normal variable binding is enough to let us model interesting programs and prove things about them by induction on syntax.
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It is important here that Coq's induction principles give us useful induction hypotheses, for constructors whose recursive arguments are functions.
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The second argument of $\mt{Let}$ above is an example.
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When we do induction on expression syntax to establish $\forall e. \; P(e)$, the case for $\mt{Let} \; e_1 \; e_2$ includes two induction hypotheses.
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The first one is standard: $P(e_1)$.
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The second one is more interesting: $\forall n : \mathbb N. \; P(e_2(n))$.
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That is, the theorem holds on all results of applying body $e_2$ to arguments.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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