vector-space-0.0: src/Data/Derivative.hs
{-# LANGUAGE TypeOperators, FlexibleInstances, MultiParamTypeClasses
, UndecidableInstances
#-}
{-# OPTIONS_GHC -Wall #-}
----------------------------------------------------------------------
-- |
-- Module : Data.Derivative
-- Copyright : (c) Conal Elliott 2008
-- License : BSD3
--
-- Maintainer : conal@conal.net
-- Stability : experimental
--
-- Infinite derivative towers via linear maps. See blog posts
-- <http://conal.net/blog/tag/derivatives/>
----------------------------------------------------------------------
module Data.Derivative
(
(:>)(..), (::>), dZero, dConst, dId, bilinearD, (>*<), (>-<)
) where
import Control.Applicative
import Data.VectorSpace
import Data.NumInstances ()
infixr 9 `D`
-- | Tower of derivatives. Values look like @b `D` b' `D` b'' `D` ...@.
-- The type of an @n@th derivative is @a :-* a :-* ... :-* b@, where there
-- are @n@ levels of @a :-*@, i.e., @(a :-*)^n b@.
--
-- Warning, the 'Applicative' instance is missing its 'pure' (due to a
-- 'VectorSpace' type constraint). Use 'dConst' instead.
data a :> b = D b (a :> (a :-* b))
-- | Infinitely differentiable functions
type a ::> b = a -> (a:>b)
instance Functor ((:>) a) where
fmap f (D b b') = D (f b) (f `onDer` b')
-- I think fmap will be meaningful only with *linear* functions.
-- Lift a function to act on values inside of derivative towers
onDer :: (b -> c) -> (a :> (a :-* b)) -> (a :> (a :-* c))
onDer f = fmap (f .)
-- Or fmap.(.), or fmap.fmap
instance Applicative ((:>) a) where
-- pure = dConst -- not! see below.
pure = noOv "pure. use dConst instead."
D f f' <*> D b b' = D (f b) (liftA2 (<*>) f' b')
-- Why can't we define 'pure' as 'dConst'? Because of the extra type
-- constraint that @VectorSpace b@ (not @a@). Oh well. Be careful not to
-- use 'pure', okay? Alternatively, I could define the '(<*>)' (naming it
-- something else) and then say @foo <$> p <*^> q <*^> ...@.
-- | Derivative tower full of 'zeroV'.
dZero :: VectorSpace b s => a:>b
dZero = w where w = zeroV `D` dZero
-- | Constant derivative tower.
dConst :: VectorSpace b s => b -> a:>b
dConst b = b `D` dZero
-- | Tower of derivatives of the identity function. Sometimes called "the
-- derivation variable" or similar, but it's not really a variable.
dId :: VectorSpace v s => v -> v:>v
dId v = w where w = v `D` dConst id
-- Derivative tower for applying a bilinear function, such as
-- multiplication.
bilinearD :: VectorSpace w s =>
(u -> v -> w) -> (t :> u) -> (t :> v) -> (t :> w)
bilinearD op (D s s') (D u u') =
D (s `op` u) ((s `op`) `onDer` u' ^+^ (`op` u) `onDer` s')
-- Handy for missing methods.
noOv :: String -> a
noOv op = error (op ++ ": not defined on a :> b")
-- I'm not sure about the next three, which discard information
instance Show b => Show (a :> b) where show = noOv "show"
instance Eq b => Eq (a :> b) where (==) = noOv "(==)"
instance Ord b => Ord (a :> b) where compare = noOv "compare"
instance VectorSpace u s => VectorSpace (a :> u) (a :> s) where
zeroV = dConst zeroV -- or dZero
(*^) = bilinearD (*^)
negateV = fmap negateV
(^+^) = liftA2 (^+^)
infix 0 >*<
-- | Convenient encapsulation of the chain rule. Combines value function
-- and derivative function, to get a infinitely differentiability
-- function, which is then applied to a derivative tower.
(>*<) :: (b -> c) -> (b -> (b :-* c))
-> (a :> b) -> (a :> c)
f >*< f' = \ (D u u') -> D (f u) ((f' u .) <$> u')
-- Compare with:
--
-- f >-< f' = \ (D u u') -> D (f u) (f' u *^ u')
--
-- which is equivalent to
--
-- f >-< f' = \ (D u u') -> D (f u) ((f' u *^) <$> u')
--
-- thanks to the 'VectorSpace' instance of @a :> b@
-- Also, we could have said
--
-- f >*< f' = \ (D u u') -> D (f u) ((fmap.fmap) (f' u) u')
--
-- because (.) and (<$>) are both 'fmap'.
-- Specialized chain rule. Scalar range.
infix 0 >-<
-- | Specialized form of '(>*<)', convenient for functions with scalar
-- values. Uses the more common view of derivatives as rate-of-change.
(>-<) :: VectorSpace b s => (b -> b) -> (b -> s)
-> (a :> b) -> (a :> b)
f >-< f' = f >*< ((*^) . f')
-- Equivalently:
--
-- f >-< f' = f >:< \ u -> (f' u *^)
-- or
-- = \ (D u u') -> D (f u) (f' u *^ u')
--
-- Corresponding to the usual chain rule for scalar domains:
-- D (f . g) x = D f (g x) *^ D g x
-- Note that the two arguments of (>*<) have the same info as @a ::> b@.
-- Define composition functions as I did in DifL.
instance (Num b, VectorSpace b b) => Num (a:>b) where
fromInteger = dConst . fromInteger
(+) = liftA2 (+)
(-) = liftA2 (-)
(*) = bilinearD (*)
negate = negate >-< -1
abs = abs >-< signum
signum = signum >-< 0 -- derivative wrong at zero
instance (Fractional b, VectorSpace b b) => Fractional (a:>b) where
fromRational = dConst . fromRational
recip = recip >-< recip sqr
sqr :: Num a => a -> a
sqr x = x*x
instance (Floating b, VectorSpace b b) => Floating (a:>b) where
pi = dConst pi
exp = exp >-< exp
log = log >-< recip
sqrt = sqrt >-< recip (2 * sqrt)
sin = sin >-< cos
cos = cos >-< - sin
sinh = sinh >-< cosh
cosh = cosh >-< sinh
asin = asin >-< recip (sqrt (1-sqr))
acos = acos >-< recip (- sqrt (1-sqr))
atan = atan >-< recip (1+sqr)
asinh = asinh >-< recip (sqrt (1+sqr))
acosh = acosh >-< recip (- sqrt (sqr-1))
atanh = atanh >-< recip (1-sqr)
-- infixl 9 @$
-- -- Application, with chain rule
-- (@$) :: b ::> c -> a :> b -> a :> c
-- g @$ u = D c ((fmap.fmap) c' b')
-- where
-- D b b' = u
-- D c c' = g b
-- b :: b
-- b' :: a :> (a :-* b)
-- c :: c
-- c' :: b :> (b :-* c)
-- b = f x
-- b' = D f x
-- c = g (f x)
-- c' = D g (f x)
-- D (g . f) x = D g (f x) . D f x
-- == c' . b'
-- g @$ D b b' = D c (c' . b')
-- where
-- D c c' = g b
-- -- Composition, with chain rule
-- infixr 9 @.
-- (@.) :: b ::> c -> a ::> b -> a ::> c
-- (g @. f) a = g @$ f a
-- (g @. f) a = D c (c' . b')
-- where
-- D b b' = f a
-- D c c' = g b