From free algebras to free monads

In Universal algebra freeness is a well defined algebraic property. We will explore equational theories which are tightly connected to free algebras. We will consider free monoids. Then we'll explain how monads can be brought into the picture in the context of monoidal categories. This will lead to a precise definition of a free monad as a free monoid.

This post requires familiarity with some very basic Category Theory and does not assume any knowledge on Universal Algebra. Most mathematical notions will be introduced but you might want to dig into literature for some more examples; though most of the books are quite lengthy and not suited for non-mathematicians - you've been warned ;). Knowing this I tried to bring all the required definitions, together with some very basic examples. As you read you may want to read about semigroups, monoids, groups, $G$-sets, lattices, Boolean or Heyting algebras from WikiPedia articles or try to find info on nCatLab (though this is is a heavy resource, with mostly with higher categorical approach, so probably better suited for more familiar readers).


We will need some preliminary definitions. Let's begin with a definition of algebra. For a set $A$ we will denote $A^n$ the $n$-th cartesian product of $A$, i.e. $A^2=A\times A$.

Definition Algebra
An algebra $\underline{A}$ is a set $A$ together with a finite set of operations $f_i^{\underline{A}}:A^{j_i}\rightarrow A$ ($i=1,\ldots,n$), usually simply written as $\underline{A}=(A, (f_i^{\underline{A}})_{i=1,\ldots,n})$. For operation $f_i^{\underline{A}}$ the natural number $j_i$ is called its arity, which is a finite natural number. The set $A$ is usually called universum of the algebra $\underline{A}$. The set of symbols $f_i$ is called type of the algebra $\underline{A}$.
Examples includes many classical algebraic structures, like semigroups, where there is only a single operation of arity 2, monoids which in addition have one operation of ariiy $0$ - the unit element of multiplication. Other source of examples are Boolean algebras with two 2-ary operations $\wedge$ and $\vee$ or more generally lattices, Heyting algebras. Also rings, modules, fields, vector spaces and countless other structures. Universal algebra has a very general theory describing common concepts but also deals with very special cases of some of more esoteric algebras.
Definition Homomorphism
A homomorphism between two algebras $\underline{A}=(A, (f_i^{\underline{A}})_{i=1,\ldots,n})$ and $\underline{B}=(B, (f_i^{\underline{B}})_{i=1,\ldots,n})$ (of the same type) is a map $h:A\rightarrow B$ with the property that for every $i$: $$ h(f^{\underline{A}}_i(a_1,\ldots, a_{i_j})) = f^{\underline{B}}_i(h(a_1),\ldots,h(a_{i_j})) $$
This means that homomorphism preserve operations. For example a homomorphism of monoids is a map that preserves the multiplication and unit. For boolean algebras, it means that a homomorphism preserves the $\vee$ (also called join) and $\wedge$ (usually called meet) operations, etc.

It is an easy observations that homomorphism are closed under composition and since the identity map is always a homomorphism this leads to well defined categories, e.g. category of monoids, category of boolean algebras, category of rings, ...

Free algebras and Equational theories

Free Algebra
An algebra $\underline{A}=(A,(f_i^{\underline{A}})_{i=1,\dots,n})$ is free in a class of algebras $\mathcal{C}$ over a subset $S\subset A$ if for every $\underline{B}=(B,(f_i^{\underline{B}}){i=1,\dots,n})\in\mathcal{C}$ every map $S\rightarrow B$ uniquely extends to a homomorphism $\underline{A}\rightarrow \underline{B}$. The set $S$ is called the set of generators.

As you can see the definition of a free algebra requires a context, this interesting in its own! There are free monoids in the class of all monoids and there are free commutative monoids in the class of commutative monoids (i.e. monoids in which $m\cdot n=n\cdot m$ for each elements $m,n$).

Many theories allow free algebras. Let's see some other examples:

Free algebras play an essential role in a proof of beautiful and outstanding Birkhoff theorem. It states that a class of algebras $\mathcal{C}$ is an equational theory if and only if the class is closed under cartesian products, homomorphic images and subalgebras. Equational theories are classes of algebras which satisfy a set of equations; examples includes: semigroups, monoids, groups or boolean or Heyting algebras but also commutative (abelian) semigroups / monoids / groups, and many other classical algebraic structures.

We need to be a little bit more precise language to speak about equational theories in the full generality of Universal Algebra, which we are going to introduce.

Terms, term functions and their algebra

Definition Term
Let’s consider an algebra type $(f_i)_{i=1,\ldots,n}$. Then the set of terms on a set $X$ (set of variables) is inductively defined as:
  • each $x\in X$ is a term (of arity $0$)
  • each $f_i(x_1,\dots ,x_{j_i})$ is a term of arity $j_i$ for $x_1,\dots ,x_{j_i}\in X$
  • if $g_1,\dots g_n$ are terms of arities $j_1$ to $j_n$ respectively, and $g$ is a term of arity $n$ then $g(g_1(x_{11},\dots,x_{1j_1}),\dots, g_n(x_{n1},\dots,x_{nj_n}))$ is a term of arity $j_1+\dots+j_n$ with $x_{kl}\in X$.

We will denote the set of terms on $X$ by $\mathsf{T}^{(f_i)_{i=1,\dots,n}}(X)$ or simply $\mathsf{T}(X)$.

For example in groups: $x^{-1}\cdot x$, $x\cdot y$ and $1$ (the unit of the group) are terms. Terms are just abstract expressions that one can build using algebraic operations that are supported by the algebra type. Each term $t$ defines a term function on every algebra of the given type. In groups the following terms are distinct but they define equal term function: $x^{-1}\cdot x$ and $1$; on the other hand the two (distinct) terms $(x\cdot y)\cdot z$ and $x\cdot (y\cdot z)$ define equal term functions. The two terms $x\cdot y$ and $y\cdot x$ define distinct term functions (on non commutative groups or commutative monoids). Another example comes from boolean algebras (or more broadly lattice theory) where the two terms $x\wedge (y\vee z)$ and $(x\wedge y)\vee(x\wedge z)$ define equal term functions on Boolean algebras (or more generally distributive lattices). If $t$ is a term then the associated term function on an algebra $\underline{A}$ we let denote by $\tilde{t}^{\underline{A}}$. Term functions are natural to express equalities within a theory. Now we are ready to formally define equational classes of algebras.

Definition Equational Theory
A class of algebras $\mathcal{C}$ is an equational theory if and only if there exists a set of pairs of terms $\mathbf{E}\subset\mathsf{T}(X)^2$ such that the class consists exactly of algebras $\underline{A}=(A,(f_i^{\underline{A}})_{i=1,\dots,n})$ for which the following condition is satisfied: for each pair of terms $(t, s)\in \mathbf{E}$ two corresponding term functions $\tilde{t}^{\underline{A}}$ and $\tilde{s}^{\underline{A}}$ are equal.

For example the class of monoids is an equational theory for $$\mathbf{E}=\bigl\{(1\cdot x,\, x),\; (x\cdot 1,\, x),\; \bigl((x\cdot y)\cdot z,\, x\cdot (y\cdot z)\bigr)\bigr\}$$ i.e. all the algebras with two operations: one of arity 0 (the unit) and one of arity 2 (the multiplication), such that the $1$ is the unit for multiplication $\cdot $ and multiplication is associative. The class of commutative monoids is also an equational theory with one additional equation $(x\cdot y,\, y\cdot x)$. Groups, Boolean or Heyting algebras, lattices are also equational theories.

Coming back to free algebras: it turns out that the set of terms $\mathsf{T}^{(f_i)}(X)$ on a given set of variables $X$ has an algebra structure of type $(f_i)_{i=1,\dots,n}$: it is given by the inductive step in the definition of terms: if $t_i\in \mathsf{T}^{(f_i)}(X)$ for $i=1,\dots,j_i$ then $$ f_j^{\underline{\mathsf{T}^{(f_i)}(X)}}(t_1,\ldots,t_{j_i}) := f_j(t_1,\ldots,t_{j_i})\in \mathsf{T}(X) $$ Furthermore $\underline{\mathsf{T}^{(f_i)}(X)}$ is a free algebra over $X$ in the class of all algebras of the given type $(f_i)_{i=1,\dots,n}$. An extension of a map $h:X\rightarrow\underline{A}=(A,(f_i^{\underline{A}})_{i=1,\ldots,n})$ can be build inductively following the definition of terms and using the homomorphism property: $$ h(f_i(t_1,\ldots,f_{i_j})) := f_i^{\underline{A}}(h(t_1),\ldots,h(t_{i_j})) $$ The map $h$ is indeed a homomorphism: $$ \begin{array}{ll} h\bigl(f_i^{\underline{\mathsf{T}(X)}}(t_1,\ldots,t_{i_j})\bigr) & = h(f_i(t_1,\ldots, t_{i_j}) \\\\ & = f_i^{\underline{A}}(h(t_1),\ldots, h(t_{i_j})) \\\\ \end{array} $$ Note that the class of algebras of the same type is usually very broad, but this is the first approximation to build free algebras in an equational theory. This is just the equational theory for the empty set $\mathbf{E}$.

Let’s see this on an example and let us consider algebras of the same type as a monoid: with one nullary operation (unit $1$ or mempty if you like) and one 2-ary operation (multiplication / mappend). Let $X$ be a set of variables. Then $1$ is a valid term, and also if $t_1$ and $t_2$ are terms on $X$ then also $t_1\cdot t_2$ is a term, but also $t_1\cdot 1$ and $1\cdot t_2$ are valid and distinct terms. $\mathsf{T}(X)$ resembles a monoid but it isn't. It is not associative and the unitality condition is not valid since $t\cdot 1\neq t\neq 1\cdot t$ as terms. We still need a way to enforce the laws. But note that if you have a map $f:X\rightarrow M$ to a monoid $M$ which you'd like to extend to a homomorphism $\mathsf{T}(X)\rightarrow M$ that preserves $1$ (which is not the unit, yet) and multiplication (even though it is not associative), you don’t have much choice: $\mathsf{T}(X)\rightarrow M$: $t_1\cdot t_2$ must be mapped to $f(t_1)\cdot f(t_2)\in M$.

We need a tool to enforce term equations. For that one can use

Definition Congruence relation
Let $\underline{A}=(A,(f^A_i)_{i=1,\dots,n})$ be an algebra and let $\sim$ be an equivalience relation on $A$, i.e. a subset of $A\times A$ which is:
  • reflexive: for each $a\in A$: $a\sim a$
  • symmetric: for each $a,b\in A$: if $a\sim b$ then $b\sim a$
  • transitive: for each $a,b,c\in A$: if $a\sim b$ and $b\sim c$ then $a\sim c$
An equivalence relation is a congruence relation if for all operations $f_i$ and any $a_1,\dots,a_{i_j}\in A$ and $b_1,\dots,b_{i_j}\in A$ the following implication holds: $$ a_1\sim b_1,\dots,a_{i_j}\sim b_{i_j}\Rightarrow f_i^{\underline{A}}(a_1,\dots,a_{i_j})\sim f_i^{\underline{A}}(b_1,\dots,b_{i_j}) $$
If you have an equivalence relation $~$ on a set $A$ then you can always construct the quotient set $A/\sim$. An equivalence class of $a\in A$ is the set $[a]:={x\in A:\; x\sim a}$, then $A/\sim$ is just the set of equivalence classes. However if you have a congruence then the quotient $A/\sim$ carries algebra structure which turns the quotient map $A\rightarrow A/\sim$ into a homomorphism.

Equivalence relations and congruences form complete lattices (partial ordered which have all suprema and minima, also infinite). If you have two equivalence relations (congruences) then their intersection (as subsets of $A^2$) is an equivalence relation (congruence).

The set of equations that defines the class of monoids generates a congruence relation on the term algebra $\underline{\mathsf{T}^{f_i}(X)}$ (i.e. an equivalence relation which is compatible with operations: $x_1\sim y_1$ and $x_2\sim y_2$ then $(x_1\cdot y_1) \sim (x_2\cdot y_2)$). One can define it as the smallest congruence relation which contains the set $\mathbf{E}$. Equivalence relation on a set $A$ is just a subset of the cartesian product $A\times A$ (which satisfy certain axioms), so it all fits together! One can describe this congruence more precisely, but we'll be happy with the fact that it exists. To show that, first one need to observe that intersection of congruences is a congruence, then the smallest congruence containing the set $\mathbf{E}$ is an intersection of all congruences that contain $\mathbf{E}$. This intersection is non empty since the set $A\times A$ is itself a congruence relation.

The key point now is that if we take the term algebra and take a quotient by the smallest congruence that contains all the pairs of terms which belong to the set $\mathbf{E}$ we will obtain a free algebra in the equational class defined by $\mathbf{E}$. We will leave the proof to a curious reader.

Free monoids

Let’s take a look on a free monoid that we can build this way. First let us consider the free algebra $\underline{\mathsf{T}(X)}$ for algebras of the same type as monoids (which include non associative monoids, which unit does not behave like a unit). And let $\sim$ be the smallest relation (congruence) that enforces $\mathsf{T}(X)/\sim$ to be a monoid.

Since monoids are associative every element in $\underline{\mathsf{T}(X)}/\sim$ can be represented as $x_1\cdot( x_2\cdot (x_3\cdot\ldots \cdot x_n))$ (where we group brackets to the right). Multiplication of $x_1\cdot( x_2\cdot (x_3\cdot\ldots \cdot x_n))$ and $y_1\cdot( y_2\cdot (y_3\cdot\ldots \cdot y_m))$ is just $x_1\cdot (x_2\cdot (x_3\cdot\ldots\cdot(x_n\cdot (y_1\cdot (y_2\cdot (y_3\cdot\ldots\;\cdot y_m)\ldots)$. In Haskell if you’d represent the set $X$ as a type $a$ then the free monoid is just the list type $[a]$ with multiplication: list concatenation and unit element: the empty list. Just think of

-- A set with `n` elements corresponds
-- to a type with `n` constructors:
data X = X_1|⋯|X_n

Free Monads

It turns out that monads in $\mathcal{Hask}$ are also an equational theory. Just the terms are higher kinded: $*\rightarrow*$ rather than $*$ as in monoids. The same construction of a free algebra works in the land of monads, but we need to look at them from another perspective. Let us first take a mathematical definition of view on monads.

Definition Monad
A monad is an (endo) functor m with two natural transformations:
class Monad m where
return :: a -> m a
join   :: m(m a) -> m a
which is unital and associative, i.e. the following law holds:
-- | associativity
join . join == join . fmap join
-- | unitality
join . return  = id = join . fmap return

These axioms are easier to understand as diagrams:


It is a basic lemma that this definition a monad is equivalent to what we are used to in Haskell:

class Monad m where
return :: a -> m a
>>=    :: m a -> (a -> m b) -> m b

Having join one defines >>= as

ma >>= f = join $ f <$> ma

and the other way, having >>= then

join = (>>= id)`
Not only these two constructions are reverse to each other, but also they translate the monad laws correctly.

Monoids in monoidal categories

To define a monoid $M$ in the category $\mathcal{Set}$ (of sets) one needs the product $M\times M$. Abstraction of this structure leads to monoidal categories.
Definition Monoidal Category
Category $\mathcal{C}$ with a bifunctor $-\otimes-:\mathcal{C}\times\mathcal{C}\rightarrow\mathcal{C}$ is called strict monoidal category if `\otimes` is associative and unital, i.e. for all $a,b,c\in\mathcal{C}$ $(a\otimes b)\otimes c = a\otimes (b\otimes c)$ and there exists a unit object $1$ such that $1\otimes a=a=a\otimes 1$.

Most examples of monoidal categories are not strict but are associative and unital up to a natural transformation. Think of $(A\times B)\times C\simeq A\times(B\times C)$ in $\mathcal{Set}$ (or any category with (finite) products, like $\mathcal{Hask}$). Let me just stress out that since $\otimes$ is a bifunctor, for any two maps $f:\;a_1\rightarrow b_1$ and $g:\;a_2\rightarrow b_2$ we have a map $f\otimes g: a_1\otimes a_2\rightarrow b_1\otimes b_2$, and moreover it behaves nicely with respect to composition: $(f_1\otimes g_1) \cdot (f_2\otimes g_2) = (f_1\cdot f_2)\otimes(g_1\cdot g_2)$ for composable pairs of arrows $f_1,\;f_2$ and $g_1,\;g_2$.

Now we can generalise a definition of a monoid to such categories:

Definition Monoid in a Monoidal Category
A monoid in a monoidal category $\mathcal{C}$ with monoidal product $-\otimes-$ and a unit $1$ is an object $m$ with a pair of morphisms $$ \mathrm{mappend}:\;m\otimes m\rightarrow m\quad\mathrm{mempty}:\;1\rightarrow m $$ such that


The main point of this section is that these diagrams have exactly the same shape as associativity and unitality for monads. Indeed, a monoid in the category of endofunctors with functor composition as a monoidal product $\otimes$ and unit the identity functor is a monad. In category theory this category is strict monoidal, if you try to type this in Haskell you will end up with a non strict monoidal structure, where you will need to show penthagon equation.

These consideration suggest that we should be able to build a free monad using our algebraic approach to free algebras. And this is what we will follow in the next section.

Free monads in $\mathcal{Hask}$

Firstly, what should replace the set of generators $X$ in $\mathsf{T}(X)/\sim$? First we generalised from the category of sets $\mathcal{Set}$ to a monoidal category $(\mathcal{C},\otimes, 1)$: its clear that we just should pick an object of the category $\mathcal{C}$. Now since our category is the category of (endo) functors of $\mathcal{Hask}$ the set of generators is just a functor. So let's pick a functor f.

To get a free monad we need to decypher $\mathsf{T}(f)/\sim$ in the context of a monoid in a monoidal category of endofunctors. Note that here $\mathsf{T}(f)$ and $\mathsf{T}(f)/\sim$ are functors! To simplify the notation, let $\mathsf{Free}(f):=\mathsf{T}(f)/\sim$. So what is a term in this setting? It should be an expressions of a Haskell's type: $$ \begin{equation} \begin{array}{c} \bigl(\mathsf{Free}(f)\otimes\mathsf{Free}(f)\otimes\ldots\otimes \mathsf{Free}(f)\bigr)(a) \\\\ \quad\quad = \mathsf{Free}(f)\bigl(\mathsf{Free}(f)\bigl(\ldots (\mathsf{Free}(f)(a)\bigr)\ldots\bigr) \end{array} \end{equation} $$ In our setup the monoidal product $-\otimes-$ is just the functor composition, thus $\mathsf{Free}(f)(a)$ must be a type which (Haskell's) terms are of Haskell's types:

a, f a, f (f a), f (f (f a)), ...

The monadic join will take something of type $\mathsf{Free}(f)\;(\mathsf{Free}(f)\;(a))$, e.g. $f^n(b)=f\;(f\;(\dots f\;(b)\dots)$ (by abusing the notation $f^n$) where $b$ has type $f^m(a)=(f\;(f\;(\dots(f\;(a)\dots)$ and return something of type $\mathsf{Free}(f)(a)$ and it should be quite clear how to do that: just take the obvious element of type $f^{n+m}(a)$. Altogether, this is a good trace of a monad, so let us translate this into a concrete Haskell type:

data Free f a
= Return a
-- ^ the terms of type a
| Free (f (Free f a))
-- ^
-- recursive definition which embraces
-- `f a`, `f (f a)` and so on

instance Functor f => Functor (Free f) where
fmap f (Return a) = Return (f a)
fmap f (Free  ff) = Free (fmap (fmap f) ff)

Free f is just a tree shaped by the functor f. This type indeed embraces all the terms of types: a, f a, f (f a), ... into a single type. Now the monad instance:

instance Monad (Free f a) where
return = Return
join (Return ma) = ma
-- ^ stitch a tree of trees into a tree
join (Free fma) = Free $ join <$> fma
-- ^ recurs to the leaves
As you can see, takes a tree of trees and outputs a bigger tree, that's what join does on the Return constructor.

Before formulating the next result let's describe morphisms between monads. Let m and n be two monads then a natural transformation f :: forall a. m a -> n a is a homomorphism of monads iff the following two conditions are satisfied:

f . return == return
join . f == f . fmap f . join
Note that this two conditions are satisfied iff f is a monoid homorphism in the category of (endo)functors of $\mathcal{Hask}$.
Let f be a functor, then Free f then there exists a morphism:
foldFree :: Functor f => (forall x. f x -> m x) -> (Free f a -> m a)
which restricts to an isomorphism of natural transformations on the left hand side and monad homomorphisms on the right hand side, and thus Free f is rightly colled free monad..
Let start with a defintion of foldFree.
foldFree :: Functor f => (forall x. f x -> m x) -> (Free f a -> m a)
foldFree _ (Return a) = return a
foldFree f (Free ff)  = join $ f $ foldFree f <$> ff
It's inverse is:
liftF :: Functor f => (forall x. Free f x -> m x) -> (f a -> m a)
liftF f fa = f $ Free $ Return <$> fa
First let's check that foldFree f is a morhpism of monads:
foldFree f (Return a)
-- | by definition of (foldFree f)
= return a
foldFree f (join (Return a))
= foldFree f a
-- | by monad unitality axiom
= join $ return $ foldFree f $ a
-- | by definition of (foldFree f)
= join $ foldFree f (Return $ foldFree f a)
-- | by definition of functor instance of (Free f)
= join $ foldFree f $ fmap (foldFree f) $ Return a

foldFree f (join (Free ff)
-- | by definition of join for (Free f)
= foldFree f (Free $ fmap join $ ff)
-- | by definition of foldFree
= join $ f $ fmap (foldFree f) $ fmap join $ ff
= join $ f $ fmap (foldFree f . join) $ ff
-- | by induction hypothesis
= join $ f $ fmap (join . foldFree f . fmap (foldFree f)) $ ff
= join $ f $ fmap join $ fmap (foldFree f)
$ fmap (fmap (foldFree f)) $ ff
-- | f is natural transformation
= join $ fmap join $ f $ fmap (foldFree f)
$ fmap (fmap (foldFree f)) $ ff
-- | monad associativity
= join $ join $ f $ fmap (foldFree f)
$ fmap (fmap (foldFree f)) $ ff
-- | by definition of (foldFree f)
= join $ foldFree f $ Free
$ fmap (fmap (foldFree f)) $ ff
-- | by functor instance of (Free f)
= join $ foldFree f $ fmap (foldFree f) $ Free ff
And we have
foldFree . liftF :: (forall x. Free f x -> m x) -> (Free f a -> m a)
(foldFree . liftF $ f) (Return x)
-- ^ where f is a morphism of monads
= foldFree (liftF f) (Return x)
= return x
= f (Return x) -- since f is assumed to be a morphism of monads

(foldFree . liftF $ f) (Free ff)
-- ^ where f is a morphism of monads
= foldFree (liftF f) (Free ff)
= join $ liftF f $ fmap (foldFree (liftF f)) $ ff
-- | by induciton hypothesis
= join $ liftF f $ fmap f $ ff
-- | by definition of (liftF f)
= join $ f $ Free $ fmap Return $ fmap f $ ff 
-- | by functor instance of (Free f)
= join $ f $ fmap f $ Free (Return ff)
-- | since f is a morphism of monads
= f $ join $ Free (Return ff)
= f $ Free ff
liftF . foldFree :: (forall x. f x -> m x) -> (f a -> m a)
(liftF . foldFree $ f) fa
-- ^ where f is a natural transformation
= liftF (foldFree f) $ fa
-- | by definition of liftF
= (foldFree f) $ Free $ fmap Return $ fa
-- | by definition of (foldFree f)
= join $ f $ fmap (foldFree f)  $ fmap Return $ fa
= join $ f $ fmap (foldFree f . Return) $ fa
-- | by defintion of (foldFree f)
= join $ f $ fmap return  $ fa
-- | since f is a natural transformation
= join $ fmap return $ f fa
-- | by monad unitality axiom 
= f fa

foldFree corresponds to foldMap which is defined in a very similar way

foldMap :: Monoid m => (a -> m) -> [a] -> m
foldMap _ [] = mempty
foldMap f (a : as) = mappend (f a) (foldMap f as)
Note that foldMap is an isomorphism onto monoid homomorphisms with an inverse
g :: Monoid m => ([a] -> m) -> a -> m
g f a = f [a]

Furthermore, if we had polymorphic functions over monoidal categories in our type system, foldMap and foldFree would be specialisations of the same function!

Some examples of free monads

Let us study some simple examples of free monads
  • First let us consider the constant functor:
    data Const a b = Const a
    Then Free (Const a) is isomorphic to Either a
    toEither :: Free (Const a) b -> Either a b
    toEither (Return b) = Right b
    toEither (Free (Const a)) = Left a
    fromEither :: Either a b -> Free (Const a) b
    fromEither (Right b) = Return b
    fromEither (Left a)  = Free (Const a)
    Since Either () is isomorphic with Maybe also Maybe is a free monad.
  • Free Identity is isomorphic to:
    data Nat = Zero | Succ Nat
    newtype Writer m a = Writer { runWriter :: (m, a) }
    deriving Functor
    toFree1 :: Free Identity a -> Writer Nat a
    toFree1 (Return a)           = Writer (Zero, a)
    toFree1 (Free (Identity fa)) = case toFree1 fa of
    Writer (n, a) -> (Succ n, a)
    fromFree1 :: (Nat, a) -> Free Identity a
    fromFree1 (Writer (Zero,   a))
    = Return a
    fromFree1 (Writer (Succ n, a))
    = Free (Identity (fromFree1 (Free1 n a)))
    Note that Nat is the free monoid with one generator (Nat$\simeq$[()]) in the cateogry $\mathcal{Hask}$, and so is Free Identity but in the monoidal category of endofunctors of $\mathcal{Hask}$!
  • If you take a functor with two constructors
    data F2 a = FX a | FY a
    deriving Functor
    . Then we have
    data S2 = SX | SY
    toFree2 :: Free F2 a -> Writer [S2] a
    toFree2 (Return a) = Writer ([], a)
    toFree2 (Free (FX fa)) = case toM2 fa of
    Writer (m, a) -> Writer (SX : m, a)
    toM2 (Free (FY fa)) = case toM2 fa of
    Writer (m, a) -> Writer (SY : m, a)
    fromFree2 :: Writer [S2] a -> Free F2 a
    fromFree2 (Writer ([], a))
    = Return a
    fromFree2 (Writer (SX : xs, a))
    = Free (FX (fromM2 $ Writer (xs, a)))
    fromFree2 (Writer (SY : xs, a))
    = Free (FY (fromM2 $ Writer (xs, a)))
    toFree2 and fromFree2 are isomorphisms. I think you see the pattern: if you take a functor with $n$ constructors you will end up with a writer monad over a free monoid with $n$ generators. You might ask if all the monads are free then? The answer is no: take a non free monoid m then the monad Writer m is a non free monad. You can prove your self that the writer monad Writer m is free if and only if the monoid m is a free monoid in $\mathcal{Hask}$.

Final remarks

I hope I convienced you that monads are algebraic constructs and I hope you'll find univeral algebra approach useful. In many cases we are dealing with algebraic structures which we require to satisfy certiain equations. Very often they fit into equational theories, which have a very clear description and which allow free objects. Freeness is the property that lets one easily interpret the free object in any other object of the same type. In the monad setting they are really useful when writing DSLs, since you will be able to interpret it in any monad, like IO or some pure monad.