last fixes to Stlc and StlcProp before sending out for comment
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index.md
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index.md
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@ -3,7 +3,11 @@ title : Table of Contents
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layout : page
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layout : page
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---
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---
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<!--
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- [Basics: Functional Programming in Agda]({{ "/Basics" | relative_url }})
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- [Basics: Functional Programming in Agda]({{ "/Basics" | relative_url }})
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-->
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- [Maps: Total and Partial Maps]({{ "/Maps" | relative_url }})
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- [Maps: Total and Partial Maps]({{ "/Maps" | relative_url }})
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- [Stlc: The Simply Typed Lambda-Calculus]({{ "/Stlc" | relative_url }})
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- [Stlc: The Simply Typed Lambda-Calculus]({{ "/Stlc" | relative_url }})
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- [StlcProp: Properties of STLC]({{ "/StlcProp" | relative_url }})
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- [StlcProp: Properties of STLC]({{ "/StlcProp" | relative_url }})
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@ -50,16 +50,16 @@ proofs and sound informal reasoning about program behavior.
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The other sense in which functional programming is "functional" is
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The other sense in which functional programming is "functional" is
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that it emphasizes the use of functions (or methods) as
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that it emphasizes the use of functions (or methods) as
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*first-class* values -- i.e., values that can be passed as
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_first-class_ values -- i.e., values that can be passed as
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arguments to other functions, returned as results, included in
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arguments to other functions, returned as results, included in
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data structures, etc. The recognition that functions can be
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data structures, etc. The recognition that functions can be
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treated as data in this way enables a host of useful and powerful
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treated as data in this way enables a host of useful and powerful
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idioms.
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idioms.
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Other common features of functional languages include *algebraic
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Other common features of functional languages include _algebraic
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data types* and *pattern matching*, which make it easy to
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data types_ and _pattern matching_, which make it easy to
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construct and manipulate rich data structures, and sophisticated
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construct and manipulate rich data structures, and sophisticated
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*polymorphic type systems* supporting abstraction and code reuse.
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_polymorphic type systems_ supporting abstraction and code reuse.
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Agda shares all of these features.
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Agda shares all of these features.
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This chapter introduces the most essential elements of Agda.
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This chapter introduces the most essential elements of Agda.
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@ -67,7 +67,7 @@ This chapter introduces the most essential elements of Agda.
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## Enumerated Types
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## Enumerated Types
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One unusual aspect of Agda is that its set of built-in
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One unusual aspect of Agda is that its set of built-in
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features is *extremely* small. For example, instead of providing
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features is _extremely_ small. For example, instead of providing
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the usual palette of atomic data types (booleans, integers,
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the usual palette of atomic data types (booleans, integers,
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strings, etc.), Agda offers a powerful mechanism for defining new
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strings, etc.), Agda offers a powerful mechanism for defining new
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data types from scratch, from which all these familiar types arise
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data types from scratch, from which all these familiar types arise
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@ -87,7 +87,7 @@ very simple example.
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### Days of the Week
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### Days of the Week
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The following declaration tells Agda that we are defining
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The following declaration tells Agda that we are defining
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a new set of data values -- a *type*.
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a new set of data values -- a _type_.
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<pre class="Agda">
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<pre class="Agda">
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@ -358,7 +358,7 @@ One thing to note is that the argument and return types of
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this function are explicitly declared. Like most functional
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this function are explicitly declared. Like most functional
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programming languages, Agda can often figure out these types for
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programming languages, Agda can often figure out these types for
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itself when they are not given explicitly -- i.e., it performs
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itself when they are not given explicitly -- i.e., it performs
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*type inference* -- but we'll include them to make reading
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_type inference_ -- but we'll include them to make reading
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easier.
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easier.
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Having defined a function, we should check that it works on
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Having defined a function, we should check that it works on
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@ -372,13 +372,13 @@ would be an excellent moment to fire up Agda and try this for yourself.
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Load this file, `Basics.lagda`, load it using `C-c C-l`, submit the
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Load this file, `Basics.lagda`, load it using `C-c C-l`, submit the
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above example to Agda, and observe the result.
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above example to Agda, and observe the result.
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Second, we can record what we *expect* the result to be in the
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Second, we can record what we _expect_ the result to be in the
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form of an Agda type:
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form of an Agda type:
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<pre class="Agda">
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<pre class="Agda">
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<a name="4097" href="Basics.html#4097" class="Function Operator"
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<a name="4097" href="Basics.html#4097" class="Function"
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>test_nextWeekday</a
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>test-nextWeekday</a
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><a name="4113"
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><a name="4113"
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> </a
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> </a
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><a name="4114" class="Symbol"
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><a name="4114" class="Symbol"
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@ -420,8 +420,8 @@ a term of the above type:
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<pre class="Agda">
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<pre class="Agda">
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<a name="4472" href="Basics.html#4097" class="Function Operator"
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<a name="4472" href="Basics.html#4097" class="Function"
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>test_nextWeekday</a
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>test-nextWeekday</a
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><a name="4488"
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><a name="4488"
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> </a
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> </a
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><a name="4489" class="Symbol"
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><a name="4489" class="Symbol"
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@ -435,13 +435,13 @@ a term of the above type:
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</pre>
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</pre>
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There is no essential difference between the definition for
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There is no essential difference between the definition for
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`test_nextWeekday` here and the definition for `nextWeekday` above,
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`test-nextWeekday` here and the definition for `nextWeekday` above,
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except for the new symbol for equality `≡` and the constructor `refl`.
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except for the new symbol for equality `≡` and the constructor `refl`.
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The details of these are not important for now (we'll come back to them in
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The details of these are not important for now (we'll come back to them in
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a bit), but essentially `refl` can be read as "The assertion we've made
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a bit), but essentially `refl` can be read as "The assertion we've made
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can be proved by observing that both sides of the equality evaluate to the
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can be proved by observing that both sides of the equality evaluate to the
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same thing, after some simplification."
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same thing, after some simplification."
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Third, we can ask Agda to *compile* some program involving our definition,
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Third, we can ask Agda to _compile_ some program involving our definition,
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This facility is very interesting, since it gives us a way to construct
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This facility is very interesting, since it gives us a way to construct
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*fully certified* programs. We'll come back to this topic in later chapters.
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_fully certified_ programs. We'll come back to this topic in later chapters.
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@ -20,16 +20,16 @@ proofs and sound informal reasoning about program behavior.
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|
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The other sense in which functional programming is "functional" is
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The other sense in which functional programming is "functional" is
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that it emphasizes the use of functions (or methods) as
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that it emphasizes the use of functions (or methods) as
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*first-class* values -- i.e., values that can be passed as
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_first-class_ values -- i.e., values that can be passed as
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arguments to other functions, returned as results, included in
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arguments to other functions, returned as results, included in
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data structures, etc. The recognition that functions can be
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data structures, etc. The recognition that functions can be
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treated as data in this way enables a host of useful and powerful
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treated as data in this way enables a host of useful and powerful
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idioms.
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idioms.
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Other common features of functional languages include *algebraic
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Other common features of functional languages include _algebraic
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data types* and *pattern matching*, which make it easy to
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data types_ and _pattern matching_, which make it easy to
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construct and manipulate rich data structures, and sophisticated
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construct and manipulate rich data structures, and sophisticated
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*polymorphic type systems* supporting abstraction and code reuse.
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_polymorphic type systems_ supporting abstraction and code reuse.
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Agda shares all of these features.
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Agda shares all of these features.
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This chapter introduces the most essential elements of Agda.
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This chapter introduces the most essential elements of Agda.
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@ -37,7 +37,7 @@ This chapter introduces the most essential elements of Agda.
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## Enumerated Types
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## Enumerated Types
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One unusual aspect of Agda is that its set of built-in
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One unusual aspect of Agda is that its set of built-in
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features is *extremely* small. For example, instead of providing
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features is _extremely_ small. For example, instead of providing
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the usual palette of atomic data types (booleans, integers,
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the usual palette of atomic data types (booleans, integers,
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strings, etc.), Agda offers a powerful mechanism for defining new
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strings, etc.), Agda offers a powerful mechanism for defining new
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data types from scratch, from which all these familiar types arise
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data types from scratch, from which all these familiar types arise
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@ -57,7 +57,7 @@ very simple example.
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### Days of the Week
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### Days of the Week
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The following declaration tells Agda that we are defining
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The following declaration tells Agda that we are defining
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a new set of data values -- a *type*.
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a new set of data values -- a _type_.
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\begin{code}
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\begin{code}
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data Day : Set where
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data Day : Set where
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@ -92,7 +92,7 @@ One thing to note is that the argument and return types of
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this function are explicitly declared. Like most functional
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this function are explicitly declared. Like most functional
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programming languages, Agda can often figure out these types for
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programming languages, Agda can often figure out these types for
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itself when they are not given explicitly -- i.e., it performs
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itself when they are not given explicitly -- i.e., it performs
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*type inference* -- but we'll include them to make reading
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_type inference_ -- but we'll include them to make reading
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easier.
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easier.
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Having defined a function, we should check that it works on
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Having defined a function, we should check that it works on
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@ -106,11 +106,11 @@ would be an excellent moment to fire up Agda and try this for yourself.
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Load this file, `Basics.lagda`, load it using `C-c C-l`, submit the
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Load this file, `Basics.lagda`, load it using `C-c C-l`, submit the
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above example to Agda, and observe the result.
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above example to Agda, and observe the result.
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Second, we can record what we *expect* the result to be in the
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Second, we can record what we _expect_ the result to be in the
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form of an Agda type:
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form of an Agda type:
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\begin{code}
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\begin{code}
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test_nextWeekday : nextWeekday (nextWeekday saturday) ≡ tuesday
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test-nextWeekday : nextWeekday (nextWeekday saturday) ≡ tuesday
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\end{code}
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\end{code}
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This declaration does two things: it makes an assertion (that the second
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This declaration does two things: it makes an assertion (that the second
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@ -121,17 +121,17 @@ Having made the assertion, we must also verify it. We do this by giving
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a term of the above type:
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a term of the above type:
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\begin{code}
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\begin{code}
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test_nextWeekday = refl
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test-nextWeekday = refl
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\end{code}
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\end{code}
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There is no essential difference between the definition for
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There is no essential difference between the definition for
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`test_nextWeekday` here and the definition for `nextWeekday` above,
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`test-nextWeekday` here and the definition for `nextWeekday` above,
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except for the new symbol for equality `≡` and the constructor `refl`.
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except for the new symbol for equality `≡` and the constructor `refl`.
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The details of these are not important for now (we'll come back to them in
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The details of these are not important for now (we'll come back to them in
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a bit), but essentially `refl` can be read as "The assertion we've made
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a bit), but essentially `refl` can be read as "The assertion we've made
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can be proved by observing that both sides of the equality evaluate to the
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can be proved by observing that both sides of the equality evaluate to the
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same thing, after some simplification."
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same thing, after some simplification."
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Third, we can ask Agda to *compile* some program involving our definition,
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Third, we can ask Agda to _compile_ some program involving our definition,
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This facility is very interesting, since it gives us a way to construct
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This facility is very interesting, since it gives us a way to construct
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*fully certified* programs. We'll come back to this topic in later chapters.
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_fully certified_ programs. We'll come back to this topic in later chapters.
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@ -20,6 +20,7 @@ and the next chapter reviews its main properties (progress and preservation).
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The new technical challenges arise from the mechanisms of
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The new technical challenges arise from the mechanisms of
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_variable binding_ and _substitution_.
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_variable binding_ and _substitution_.
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<!--
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We've already seen how to formalize a language with
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We've already seen how to formalize a language with
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variables ([Imp]({{ "Imp" | relative_url }})).
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variables ([Imp]({{ "Imp" | relative_url }})).
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There, however, the variables were all global.
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There, however, the variables were all global.
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@ -28,6 +29,7 @@ parameters to functions, and these are _bound_ variables.
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Moreover, instead of just looking up variables in a global store,
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Moreover, instead of just looking up variables in a global store,
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we'll need to reduce function applications by _substituting_
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we'll need to reduce function applications by _substituting_
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arguments for parameters in function bodies.
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arguments for parameters in function bodies.
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-->
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We choose booleans as our base type for simplicity. At the end of the
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We choose booleans as our base type for simplicity. At the end of the
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chapter we'll see how to add numbers as a base type, and in later
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chapter we'll see how to add numbers as a base type, and in later
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@ -818,19 +820,30 @@ The entire process can be automated using Agsy, invoked with C-c C-a.
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#### Non-examples
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#### Non-examples
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We can also show that terms are _not_ typeable.
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We can also show that terms are _not_ typeable. For example, here is
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For example, here is a formal proof that it is not possible
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a formal proof that it is not possible to type the term `` true ·
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to type the term `` λ[ x ∶ 𝔹 ] λ[ y ∶ 𝔹 ] ` x · ` y ``.
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false ``. In other words, no type `A` is the type of this term. It
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In other words, no type `A` is the type of this term.
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cannot be typed, because doing so requires that the first term in the
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application is both a boolean and a function.
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\begin{code}
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notyping₂ : ∀ {A} → ¬ (∅ ⊢ true · false ∶ A)
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notyping₂ (⇒-E () _)
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\end{code}
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As a second example, here is a formal proof that it is not possible to
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type `` λ[ x ∶ 𝔹 ] λ[ y ∶ 𝔹 ] ` x · ` y `` It cannot be typed, because
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doing so requires `x` to be both boolean and a function.
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\begin{code}
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\begin{code}
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contradiction : ∀ {A B} → ¬ (𝔹 ≡ A ⇒ B)
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contradiction : ∀ {A B} → ¬ (𝔹 ≡ A ⇒ B)
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contradiction ()
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contradiction ()
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notyping : ∀ {A} → ¬ (∅ ⊢ λ[ x ∶ 𝔹 ] λ[ y ∶ 𝔹 ] ` x · ` y ∶ A)
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notyping₁ : ∀ {A} → ¬ (∅ ⊢ λ[ x ∶ 𝔹 ] λ[ y ∶ 𝔹 ] ` x · ` y ∶ A)
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notyping (⇒-I (⇒-I (⇒-E (Ax Γx) (Ax Γy)))) = contradiction (just-injective Γx)
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notyping₁ (⇒-I (⇒-I (⇒-E (Ax Γx) _))) = contradiction (just-injective Γx)
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\end{code}
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\end{code}
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#### Quiz
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#### Quiz
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For each of the following, given a type `A` for which it is derivable,
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For each of the following, given a type `A` for which it is derivable,
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## Canonical Forms
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## Canonical Forms
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<!--
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As we saw for the simple calculus in Chapter [Types]({{ "Types" | relative_url }}),
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As we saw for the simple calculus in Chapter [Types]({{ "Types" | relative_url }}),
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the first step in establishing basic properties of reduction and typing
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-->
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The first step in establishing basic properties of reduction and typing
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is to identify the possible _canonical forms_ (i.e., well-typed closed values)
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is to identify the possible _canonical forms_ (i.e., well-typed closed values)
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belonging to each type. For function types the canonical forms are lambda-abstractions,
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belonging to each type. For function types the canonical forms are lambda-abstractions,
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while for boolean types they are values `true` and `false`.
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while for boolean types they are values `true` and `false`.
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@ -63,11 +66,12 @@ data Progress : Term → Set where
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progress : ∀ {M A} → ∅ ⊢ M ∶ A → Progress M
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progress : ∀ {M A} → ∅ ⊢ M ∶ A → Progress M
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\end{code}
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\end{code}
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The proof is a relatively
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<!--
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straightforward extension of the progress proof we saw in
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The proof is a relatively straightforward extension of the progress proof we saw in
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[Types]({{ "Types" | relative_url }}).
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[Types]({{ "Types" | relative_url }}).
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We give the proof in English
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-->
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first, then the formal version.
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We give the proof in English first, then the formal version.
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_Proof_: By induction on the derivation of `∅ ⊢ M ∶ A`.
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_Proof_: By induction on the derivation of `∅ ⊢ M ∶ A`.
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@ -157,9 +161,12 @@ substitution. Working from top to bottom (from the high-level
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property we are actually interested in to the lowest-level
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property we are actually interested in to the lowest-level
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technical lemmas), the story goes like this:
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technical lemmas), the story goes like this:
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- The _preservation theorem_ is proved by induction on a typing
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<!--
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derivation, pretty much as we did in the [Types]({{ "Types" | relative_url }})
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- The _preservation theorem_ is proved by induction on a typing derivation.
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chapter. The one case that is significantly different is the one for the
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derivation, pretty much as we did in chapter [Types]({{ "Types" | relative_url }})
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-->
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- The one case that is significantly different is the one for the
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`βλ·` rule, whose definition uses the substitution operation. To see that
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`βλ·` rule, whose definition uses the substitution operation. To see that
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this step preserves typing, we need to know that the substitution itself
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this step preserves typing, we need to know that the substitution itself
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does. So we prove a ...
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does. So we prove a ...
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@ -589,11 +596,21 @@ preservation (𝔹-E ⊢L ⊢M ⊢N) (ξif L⟹L′) with preservation ⊢L L⟹
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#### Exercise: 2 stars, recommended (subject_expansion_stlc)
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#### Exercise: 2 stars, recommended (subject_expansion_stlc)
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<!--
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An exercise in the [Types]({{ "Types" | relative_url }}) chapter asked about the
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An exercise in the [Types]({{ "Types" | relative_url }}) chapter asked about the
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subject expansion property for the simple language of arithmetic and boolean
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subject expansion property for the simple language of arithmetic and boolean
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expressions. Does this property hold for STLC? That is, is it always the case
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expressions. Does this property hold for STLC? That is, is it always the case
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that, if `M ==> N` and `∅ ⊢ N ∶ A`, then `∅ ⊢ M ∶ A`? It is easy to find a
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that, if `M ==> N` and `∅ ⊢ N ∶ A`, then `∅ ⊢ M ∶ A`? It is easy to find a
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counter-example with conditionals, find one not involving conditionals.
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counter-example with conditionals, find one not involving conditionals.
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-->
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We say that `M` _reduces_ to `N` if `M ⟹ N`,
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and that `M` _expands_ to `N` if `N ⟹ M`.
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The preservation property is sometimes called _subject reduction_.
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Its opposite is _subject expansion_, which holds if
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`M ==> N` and `∅ ⊢ N ∶ A`, then `∅ ⊢ M ∶ A`.
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Find two counter-examples to subject expansion, one
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with conditionals and one not involving conditionals.
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## Type Soundness
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## Type Soundness
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Reference in a new issue