I can readily enough define general Functor
and Monad
classes in Haskell:
class (Category s, Category t) => Functor s t f where
map :: s a b -> t (f a) (f b)
class Functor s s m => Monad s m where
pure :: s a (m a)
join :: s (m (m a)) (m a)
join = bind id
bind :: s a (m b) -> s (m a) (m b)
bind f = join . map f
I'm reading this post which explains an applicative functor is a lax (closed or monoidal) functor. It does so in terms of a (exponential or monoidal) bifunctor. I know in the Haskell category, every Monad
is Applicative
; how can we generalize? How should we choose the (exponential or monoidal) functor in terms of which to define Applicative
? What confuses me is our Monad
class seems to have no notion whatsoever of the (closed or monoidal) structure.
Edit: A commenter says it is not generally possible, so now part of my question is where it is possible.
As I understand, every monad is a functor but not every functor is a monad. A functor takes a pure function (and a functorial value) whereas a monad takes a Kleisli arrow, i.e. a function that returns a monad (and a monadic value).
Monads are not a replacement for applicative functors Instead, every monad is an applicative functor (as well as a functor). It is considered good practice not to use >>= if all you need is <*>, or even fmap.
An applicative is a data type that implements the Applicative typeclass. A monad is a data type that implements the Monad typeclass. A Maybe implements all three, so it is a functor, an applicative, and a monad.
Applicative functors are the programming equivalent of lax monoidal functors with tensorial strength in category theory. Applicative functors were introduced in 2008 by Conor McBride and Ross Paterson in their paper Applicative programming with effects.
So a monad exists within a particular monoidal category (which happens to be a category of endofunctors), while an applicative functor maps between two monoidal categories (which happen to be the same category, hence it's a kind of endofunctor). Show activity on this post.
^ Category theory views these collection monads as adjunctions between the free functor and different functors from the category of sets to the category of monoids. ^ Here the task for the programmer is to construct an appropriate monoid, or perhaps to choose a monoid from a library.
The return and bind function are: . From the category theory point of view, a state monad is derived from the adjunction between the product functor and the exponential functor, which exists in any cartesian closed category by definition. A continuation monad [o] with return type R maps type T into functions of type .
In addition to defining a wrapping monadic type, monads define two operators: one to wrap a value in the monad type, and another to compose together functions that output values of the monad type (these are known as monadic functions ).
What confuses me is our Monad class seems to have no notion whatsoever of the (closed or monoidal) structure.
If I understood your question correctly, that would be provided via the tensorial strength of the monad. The Monad
class doesn't have it because it is intrinsic to the Hask category. More concretely, it is assumed to be:
t :: Monad m => (a, m b) -> m (a,b)
t (x, my) = my >>= \y -> return (x,y)
Essentially, all the monoidal stuff involved in the methods of a monoidal functor happens on the target category. It can be formalised thus†:
class (Category s, Category t) => Functor s t f where
map :: s a b -> t (f a) (f b)
class Functor s t f => Monoidal s t f where
pureUnit :: t () (f ())
fzip :: t (f a,f b) (f (a,b))
s
-morphisms only come in if you consider the laws of a monoidal functor, which roughly say that the monoidal structure of s
should be mapped into this monoidal structure of t
by the functor.
Perhaps more insightful is to factor an fmap
into the class methods, so it's clear what the “func-”-part of the functor does:
class Functor s t f => Monoidal s t f where
...
puref :: s () y -> t () (f y)
puref f = map f . pureUnit
fzipWith :: s (a,b) c -> t (f a,f b) (f c)
fzipWith f = map f . fzip
From Monoidal
, we can get back our good old Hask-Applicative
thus:
pure :: Monoidal (->) (->) f => a -> f a
pure a = puref (const a) ()
(<*>) :: Monoidal (->) (->) f => f (a->b) -> f a -> f b
fs <*> xs = fzipWith (uncurry ($)) (fs, xs)
or
liftA2 :: Monoidal (->) (->) f => (a->b->c) -> f a -> f b -> f c
liftA2 f xs ys = fzipWith (uncurry f) (xs,ys)
Perhaps more interesting in this context is the other direction, because that shows us up the connection to monads in the generalised case:
instance Applicative f => Monoidal (->) (->) f where
pureUnit = pure
fzip = \(xs,ys) -> liftA2 (,) xs ys
= \(xs,ys) -> join $ map (\x -> map (x,) ys) xs
That lambdas and tuple sections aren't available in a general category, however they can be translated to cartesian closed categories.
†I'm using (,)
as the product in both monoidal categories, with identity element ()
. More generally you might write data I_s
and data I_t
and type family (⊗) x y
and type family (∙) x y
for the products and their respective identity elements.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With