# Difference between revisions of "Monoid"

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In Haskell, the Monoid typeclass (not to be confused with [[Monad]]) is a class for types which have a single most natural operation for combining values, together with a value which doesn't do anything when you combine it with others (this is called the ''identity'' element). It is closely related to the [[Foldable]] class, and indeed you can think of a Monoid instance declaration for a type ''m'' as precisely what you need in order to fold up a list of values of ''m''. |
In Haskell, the Monoid typeclass (not to be confused with [[Monad]]) is a class for types which have a single most natural operation for combining values, together with a value which doesn't do anything when you combine it with others (this is called the ''identity'' element). It is closely related to the [[Foldable]] class, and indeed you can think of a Monoid instance declaration for a type ''m'' as precisely what you need in order to fold up a list of values of ''m''. |
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− | == |
+ | == The basics == |

+ | |||

+ | === Declaration === |
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<haskell> |
<haskell> |
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</haskell> |
</haskell> |
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− | == Examples == |
+ | === Examples === |

The prototypical and perhaps most important example is lists, which form a monoid under concatenation: |
The prototypical and perhaps most important example is lists, which form a monoid under concatenation: |
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Now <hask>mconcat</hask> on a list of <hask>Sum Integer</hask> (say) values works like <hask>sum</hask>, while on a list of <hask>Product Double</hask> values it works like <hask>product</hask>. |
Now <hask>mconcat</hask> on a list of <hask>Sum Integer</hask> (say) values works like <hask>sum</hask>, while on a list of <hask>Product Double</hask> values it works like <hask>product</hask>. |
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− | == So what? == |
+ | === So what? === |

There are several reasons why you want a typeclass for combining things, e.g. because it couples well with other typeclasses (the aforementioned [[Foldable]], or the [[Writer monad]], or some [[Applicative]]s). But for a rather striking example of what Monoid can do alone, you can look at the way its instances can work together. First, <hask>Ordering</hask>, the standard type which Haskell uses for the result of <hask>compare</hask> functions, has a "lexicographic" combination operation, where <hask>mappend</hask> essentially takes the first non-equality result. Secondly, if <hask>b</hask> is a Monoid, then functions of type <hask>a -> b</hask> can be combined by just calling them both and combining the results. Now, of course, since <hask>a -> a -> b</hask> is just a function returning a function, it can also be combined in the same way, and so you can combine comparison functions, of type <hask>a -> a -> Ordering</hask>, and write the following sorts of thing, which means "sort strings by length and then alphabetically": |
There are several reasons why you want a typeclass for combining things, e.g. because it couples well with other typeclasses (the aforementioned [[Foldable]], or the [[Writer monad]], or some [[Applicative]]s). But for a rather striking example of what Monoid can do alone, you can look at the way its instances can work together. First, <hask>Ordering</hask>, the standard type which Haskell uses for the result of <hask>compare</hask> functions, has a "lexicographic" combination operation, where <hask>mappend</hask> essentially takes the first non-equality result. Secondly, if <hask>b</hask> is a Monoid, then functions of type <hask>a -> b</hask> can be combined by just calling them both and combining the results. Now, of course, since <hask>a -> a -> b</hask> is just a function returning a function, it can also be combined in the same way, and so you can combine comparison functions, of type <hask>a -> a -> Ordering</hask>, and write the following sorts of thing, which means "sort strings by length and then alphabetically": |
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Isn't that wonderfully descriptive? And we didn't write any functions specifically to do this – it's just composed of simple, reusable parts. |
Isn't that wonderfully descriptive? And we didn't write any functions specifically to do this – it's just composed of simple, reusable parts. |
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+ | |||

+ | == In more depth == |
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+ | |||

+ | === On mconcat === |
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+ | |||

+ | mconcat is often presented as just an optimisation, only in the class so that people can define more efficient versions of it. That's true in a sense, but note that mempty and mappend can just as well be defined in terms of mconcat: |
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+ | |||

+ | <haskell> |
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+ | mempty = mconcat [] |
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+ | mappend x y = mconcat [x, y] |
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+ | </haskell> |
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+ | |||

+ | What of the laws? Well, we can have the following: |
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+ | |||

+ | <haskell> |
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+ | mconcat [x] = x |
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+ | mconcat (map mconcat xss) = mconcat (concat xss) |
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+ | </haskell> |
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+ | |||

+ | The first rule is natural enough. The second rule is a little more subtle, but basically says that if you have a list of lists of some monoidy things, and you mconcat each sublist individually, then mconcat all the results, that's just the same as if you had squashed all the sublists together first, and mconcatted the result of that. Or in other words, it's telling you something like what associativity tells you, that the order in which you fold up a list doesn't matter. |
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+ | |||

+ | The reality is a bit more subtle than that, since you need both of the laws I stated to prove associativity for mappend, and the two laws together can also prove that mempty is an identity for it. But it's a good way to think about it. |
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+ | |||

+ | ==== Categorical diversion ==== |
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+ | |||

+ | Note that the above two laws can also be phrased as follows: |
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+ | |||

+ | <haskell> |
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+ | mconcat . return = id |
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+ | mconcat . map mconcat = mconcat . join |
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+ | </haskell> |
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+ | |||

+ | In [[category theory]] terms, this is exactly the condition for <hask>mconcat</hask> to be a monad algebra for the list monad. |
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== See also == |
== See also == |

## Revision as of 15:59, 1 November 2015

In Haskell, the Monoid typeclass (not to be confused with Monad) is a class for types which have a single most natural operation for combining values, together with a value which doesn't do anything when you combine it with others (this is called the *identity* element). It is closely related to the Foldable class, and indeed you can think of a Monoid instance declaration for a type *m* as precisely what you need in order to fold up a list of values of *m*.

## Contents

## The basics

### Declaration

```
class Monoid m where
mempty :: m
mappend :: m -> m -> m
mconcat :: [m] -> m
-- defining mconcat is optional, since it has the following default:
mconcat = foldr mappend mempty
-- this infix synonym for mappend is found in Data.Monoid
x <> y = mappend x y
infixr 6 <>
```

together with the following laws:

```
-- Identity laws
x <> mempty = x
mempty <> x = x
-- Associativity
(x <> y) <> z = x <> (y <> z)
```

### Examples

The prototypical and perhaps most important example is lists, which form a monoid under concatenation:

```
instance Monoid [a] where
mempty = []
mappend x y = x ++ y
mconcat = concat
```

Indeed, appending the empty list to either end of an existing list does nothing, and `(x ++ y) ++ z`

and `x ++ (y ++ z)`

are both the same list, namely all the elements of `x`

, then all the elements of `y`

, them all the elements of `z`

.

Numbers also form a monoid under addition, with 0 the identity element, but they also form a monoid under multiplication, with 1 the identity element. Neither of these instances are really more natural than the other, so we use the newtypes `Sum n` and `Product n` to distinguish between them:

```
newtype Sum n = Sum n
instance Num n => Monoid (Sum n) where
mempty = Sum 0
mappend (Sum x) (Sum y) = Sum (x + y)
newtype Product n = Product n
instance Num n => Monoid (Product n) where
mempty = Sum 1
mappend (Sum x) (Sum y) = Sum (x * y)
```

Now `mconcat`

on a list of `Sum Integer`

(say) values works like `sum`

, while on a list of `Product Double`

values it works like `product`

.

### So what?

There are several reasons why you want a typeclass for combining things, e.g. because it couples well with other typeclasses (the aforementioned Foldable, or the Writer monad, or some Applicatives). But for a rather striking example of what Monoid can do alone, you can look at the way its instances can work together. First, `Ordering`

, the standard type which Haskell uses for the result of `compare`

functions, has a "lexicographic" combination operation, where `mappend`

essentially takes the first non-equality result. Secondly, if `b`

is a Monoid, then functions of type `a -> b`

can be combined by just calling them both and combining the results. Now, of course, since `a -> a -> b`

is just a function returning a function, it can also be combined in the same way, and so you can combine comparison functions, of type `a -> a -> Ordering`

, and write the following sorts of thing, which means "sort strings by length and then alphabetically":

```
sortStrings = sortBy (comparing length <> compare)
```

Isn't that wonderfully descriptive? And we didn't write any functions specifically to do this – it's just composed of simple, reusable parts.

## In more depth

### On mconcat

mconcat is often presented as just an optimisation, only in the class so that people can define more efficient versions of it. That's true in a sense, but note that mempty and mappend can just as well be defined in terms of mconcat:

```
mempty = mconcat []
mappend x y = mconcat [x, y]
```

What of the laws? Well, we can have the following:

```
mconcat [x] = x
mconcat (map mconcat xss) = mconcat (concat xss)
```

The first rule is natural enough. The second rule is a little more subtle, but basically says that if you have a list of lists of some monoidy things, and you mconcat each sublist individually, then mconcat all the results, that's just the same as if you had squashed all the sublists together first, and mconcatted the result of that. Or in other words, it's telling you something like what associativity tells you, that the order in which you fold up a list doesn't matter.

The reality is a bit more subtle than that, since you need both of the laws I stated to prove associativity for mappend, and the two laws together can also prove that mempty is an identity for it. But it's a good way to think about it.

#### Categorical diversion

Note that the above two laws can also be phrased as follows:

```
mconcat . return = id
mconcat . map mconcat = mconcat . join
```

In category theory terms, this is exactly the condition for `mconcat`

to be a monad algebra for the list monad.

## See also

- Haskell Monoids and their Uses
- Monoids and Finger Trees
- Monad.Reader issue 11, "How to Refold a Map." (PDF), and a follow up

Generalizations of monoids feature in Category theory, for example: