michael/csci8980-f21
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Logic, currying and related isos

Browse source
This commit is contained in:
wadler 2018-01-12 19:10:46 -02:00
parent b60bc9a8d8
commit 5d767f5b40
1 changed files with 178 additions and 56 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

234
src/Logic.lagda
View file

@ -233,9 +233,6 @@ the `to` and `fro` components from the two embeddings to obtain
the right inverse of the isomorphism.
## Conjunction is product
Given two propositions `A` and `B`, the conjunction `A × B` holds
@ -245,10 +242,9 @@ declaring a suitable inductive type.
data _×_ : Set → Set → Set where
_,_ : ∀ {A B : Set} → A → B → A × B
\end{code}
If `A` and `B` are propositions then `A × B` is
also a proposition. Evidence that `A × B` holds is of the form
`(x , y)`, where `x` is evidence that `A` holds and
`y` is evidence that `B` holds.
Evidence that `A × B` holds is of the form
`(M , N)`, where `M` is evidence that `A` holds and
`N` is evidence that `B` holds.
Given evidence that `A × B` holds, we can conclude that either
`A` holds or `B` holds.
@ -259,8 +255,8 @@ fst (x , y) = x
snd : ∀ {A B : Set} → A × B → B
snd (x , y) = y
\end{code}
If `w` is evidence that `A × B` holds, then `fst w` is evidence
that `A` holds, and `snd w` is evidence that `B` holds.
If `L` is evidence that `A × B` holds, then `fst L` is evidence
that `A` holds, and `snd L` is evidence that `B` holds.
Equivalently, we could also declare product as a record type.
\begin{code}
@ -273,16 +269,16 @@ open _×′_
We construct values of the record type with the syntax:
record
{ fst′ = x
; snd′ = y
{ fst′ = M
; snd′ = N
}
which corresponds to using the constructor of the corresponding
inductive type:
( x , y)
( M , N )
where `x` is a value of type `A` and `y` is a value of type `B`.
where `M` is a term of type `A` and `N` is a term of type `B`.
We set the precedence of conjunction so that it binds less
tightly than anything save disjunction, and of the pairing
@ -411,10 +407,9 @@ data _⊎_ : Set → Set → Set where
inj₁ : ∀ {A B : Set} → A → A ⊎ B
inj₂ : ∀ {A B : Set} → B → A ⊎ B
\end{code}
If `A` and `B` are propositions then `A ⊎ B` is
also a proposition. Evidence that `A ⊎ B` holds is either of the form
`inj₁ x`, where `x` is evidence that `A` holds, or `inj₂ y`, where
`y` is evidence that `B` holds.
Evidence that `A ⊎ B` holds is either of the form
`inj₁ M`, where `M` is evidence that `A` holds, or `inj₂ N`, where
`N` is evidence that `B` holds.
Given evidence that `A → C` and `B → C` both hold, then given
evidence that `A ⊎ B` holds we can conlude that `C` holds.
@ -427,7 +422,7 @@ Pattern matching against `inj₁` and `inj₂` is typical of how we exploit
evidence that a disjunction holds.
We set the precedence of disjunction so that it binds less tightly
than any other operator.
than any other declared operator.
\begin{code}
infix 1 _⊎_
\end{code}
@ -440,9 +435,10 @@ to a *variant record* type. Among other reasons for
calling it the sum, note that if type `A` has `m`
distinct members, and type `B` has `n` distinct members,
then the type `A ⊎ B` has `m + n` distinct members.
For instance, consider a type `Bool` with three members, and
For instance, consider a type `Bool` with two members, and
a type `Tri` with three members, as defined earlier.
Then the type `Bool ⊎ Tri` has five members:
Then the type `Bool ⊎ Tri` has five
members:
(inj₁ true) (inj₂ aa)
(inj₁ false) (inj₂ bb)
@ -544,50 +540,178 @@ k (inj₂ y) = inj₁ y
\end{code}
## Implication is function
Given two propositions `A` and `B`, the implication `A → B` holds if
whenever `A` holds then `B` must also hold. We formalise this idea in
terms of the function type. Evidence that `A → B` holds is of the form
λ (x : A) → N
where `N` is a term of type `B` containing as a free variable `x` of type `A`.
In other words, evidence that `A → B` holds is a function that converts
evidence that `A` holds into evidence that `B` holds.
Given evidence that `A → B` holds and that `A` holds, we can conclude that
`B` holds.
\begin{code}
modus-ponens : ∀ {A B : Set} → (A → B) → A → B
modus-ponens f x = f x
\end{code}
This rule is known by its latin name, *modus ponens*.
Implication binds less tightly than any other operator. Thus, `A ⊎ B →
B ⊎ A` parses as `(A ⊎ B) → (B ⊎ A)`.
Given two types `A` and `B`, we refer to `A → B` as the *function*
from `A` to `B`. It is also sometimes called the *exponential*,
with `B` raised to the `A` power. Among other reasons for calling
it the exponential, note that if type `A` has `m` distinct
memebers, and type `B` has `n` distinct members, then the type
`A → B` has `n ^ m` distinct members. For instance, consider a
type `Bool` with two members and a type `Tri` with three members,
as defined earlier. The the type `Bool → Tri` has nine (that is,
three squared) members:
{ true → aa ; false → aa } { true → aa ; false → bb } { true → aa ; false → cc }
{ true → bb ; false → aa } { true → bb ; false → bb } { true → bb ; false → cc }
{ true → cc ; false → aa } { true → cc ; false → bb } { true → cc ; false → cc }
For example, the following function enumerates all possible
arguments of the type `Bool → Tri`:
\begin{code}
→-count : (Bool → Tri) → ℕ
→-count f with f true | f false
... | aa | aa = 1
... | aa | bb = 2
... | aa | cc = 3
... | bb | aa = 4
... | bb | bb = 5
... | bb | cc = 6
... | cc | aa = 7
... | cc | bb = 8
... | cc | cc = 9
\end{code}
Exponential on types also share a property with exponential on
numbers in that many of the standard identities for numbers carry
over to the types.
Corresponding to the law
(p ^ n) ^ m = p ^ (n * m)
we have that the types `A → B → C` and `A × B → C` are isomorphic.
Both types can be viewed as functions that given evidence that `A` holds
and evidence that `B` holds can return evidence that `C` holds.
This isomorphism sometimes goes by the name *currying*.
The proof of the right inverse requires extensionality.
\begin{code}
postulate
extensionality : ∀ {A B : Set} → {f g : A → B} → (∀ (x : A) → f x ≡ g x) → f ≡ g
currying : ∀ {A B C : Set} → (A → B → C) ≃ (A × B → C)
currying =
record
{ to = λ f → λ { (x , y) → f x y }
; fro = λ g → λ x → λ y → g (x , y)
; invˡ = λ f → refl
; invʳ = λ g → extensionality (λ { (x , y) → refl })
}
\end{code}
Corresponding to the law
p ^ (n + m) = (p ^ n) * (p ^ m)
we have that the types `A ⊎ B → C` and `(A → C) × (B → C)` are isomorphic.
That is, the assertion that if either `A` holds or `B` holds then `C` holds
is the same as the assertion that if `A` holds then `C` holds and if
`B` holds then `C` holds.
\begin{code}
→-distributes-⊎ : ∀ {A B C : Set} → (A ⊎ B → C) ≃ ((A → C) × (B → C))
→-distributes-⊎ =
record
{ to = λ f → ( (λ x → f (inj₁ x)) , (λ y → f (inj₂ y)) )
; fro = λ {(g , h) → λ { (inj₁ x) → g x ; (inj₂ y) → h y } }
; invˡ = λ f → extensionality (λ { (inj₁ x) → refl ; (inj₂ y) → refl })
; invʳ = λ {(g , h) → refl}
}
\end{code}
Corresponding to the law
(p * n) ^ m = (p ^ m) * (n ^ m)
we have that the types `A → B × C` and `(A → B) × (A → C)` are isomorphic.
That is, the assertion that if either `A` holds then `B` holds and `C` holds
is the same as the assertion that if `A` holds then `B` holds and if
`A` holds then `C` holds.
## Distribution
Distribution of `×` over `⊎` is an isomorphism.
\begin{code}
×-distributes-⊎ : ∀ {A B C : Set} → ((A ⊎ B) × C) ≃ ((A × C) ⊎ (B × C))
×-distributes-⊎ =
record {
to = λ { ((inj₁ x) , z) → (inj₁ (x , z)) ;
((inj₂ y) , z) → (inj₂ (y , z)) } ;
fro = λ { (inj₁ (x , z)) → ((inj₁ x) , z) ;
(inj₂ (y , z)) → ((inj₂ y) , z) } ;
invˡ = λ { ((inj₁ x) , z) → refl ;
((inj₂ y) , z) → refl } ;
invʳ = λ { (inj₁ (x , z)) → refl ;
(inj₂ (y , z)) → refl }
}
record
{ to = λ { ((inj₁ x) , z) → (inj₁ (x , z))
; ((inj₂ y) , z) → (inj₂ (y , z))
}
; fro = λ { (inj₁ (x , z)) → ((inj₁ x) , z)
; (inj₂ (y , z)) → ((inj₂ y) , z)
}
; invˡ = λ { ((inj₁ x) , z) → refl
; ((inj₂ y) , z) → refl
}
; invʳ = λ { (inj₁ (x , z)) → refl
; (inj₂ (y , z)) → refl
}
}
\end{code}
Distribution of `⊎` over `×` is half an isomorphism.
Distribution of `⊎` over `×` is not an isomorphism, but is an embedding.
\begin{code}
{-
data _≲_ : Set → Set → Set where
mk-≲ : ∀ {A B : Set} → (f : A → B) → (g : B → A) →
(∀ (x : A) → g (f x) ≡ x) → A ≲ B
+-distributes-× : ∀ {A B C : Set} → ((A × B) ⊎ C) ≲ ((A ⊎ C) × (B ⊎ C))
+-distributes-× = mk-≲ f g gf
where
f : ∀ {A B C : Set} → (A × B) ⊎ C → (A ⊎ C) × (B ⊎ C)
f (inj₁ (a , b)) = (inj₁ a , inj₁ b)
f (inj₂ c) = (inj₂ c , inj₂ c)
g : ∀ {A B C : Set} → (A ⊎ C) × (B ⊎ C) → (A × B) ⊎ C
g (inj₁ a , inj₁ b) = inj₁ (a , b)
g (inj₁ a , inj₂ c) = inj₂ c
g (inj₂ c , inj₁ b) = inj₂ c
g (inj₂ c , inj₂ c′) = inj₂ c -- or inj₂ c′
gf : ∀ {A B C : Set} → (x : (A × B) ⊎ C) → g (f x) ≡ x
gf (inj₁ (a , b)) = refl
gf (inj₂ c) = refl
-}
⊎-distributes-× : ∀ {A B C : Set} → ((A × B) ⊎ C) ≲ ((A ⊎ C) × (B ⊎ C))
⊎-distributes-× =
record
{ to = λ { (inj₁ (x , y)) → (inj₁ x , inj₁ y)
; (inj₂ z) → (inj₂ z , inj₂ z)
}
; fro = λ { (inj₁ x , inj₁ y) → (inj₁ (x , y))
; (inj₁ x , inj₂ z) → (inj₂ z)
; (inj₂ z , _ ) → (inj₂ z)
}
; invˡ = λ { (inj₁ (x , y)) → refl
; (inj₂ z) → refl
}
}
\end{code}
Note that there is a choice in how we write the `fro` function.
As given, it takes `(inj₂ z , inj₂ z′)` to `(inj₂ z)`, but it is
easy to write a variant that instead returns `(inj₂ z′)`. We have
an embedding rather than an isomorphism because the
`fro` function must discard either `z` or `z′` in this case.
In the usual approach to logic, both of de Morgan's laws
are given equal weight:
A & (B ∨ C) ⇔ (A & B) ∨ (A & C)
A ∨ (B & C) ⇔ (A ∨ B) & (A ∨ C)
But when we consider the two laws in terms of evidence, where `_&_`
corresponds to `_×_` and `_∨_` corresponds to `_⊎_`, then the first
gives rise to an isomorphism, while the second only gives rise to an
embedding, revealing a sense in which one of de Morgan's laws is "more
true" than the other.
## True
@ -606,8 +730,6 @@ data ⊥ : Set where
⊥-elim ()
\end{code}
## Implication
## Negation
\begin{code}