Hi everyone!
The usage of generating functions is quite common in competitive programming these days. But it seems to happen so, that they're mostly presented as a way to simplify formal manipulation with polynomial coefficients, rather than something meaningful. But there actually is a meaning to all of this, and today I'm going to shed a light on it.
Alongside the blog post we'll uncover the combinatorial meaning of
- The addition $$$F(x)+G(x)$$$,
- The multiplication $$$F(x)G(x)$$$,
- The exponent $$$\exp F(x)$$$,
- The logarithm $$$\log F(x)$$$,
- The sum of the infinite geometric progression $$$\frac{1}{1-F(x)}=1+F(x)+F^2(x)+\dots$$$,
- The general composition $$$F(G(x))$$$
for the generating functions $$$F(x)$$$ and $$$G(x)$$$ and the underlying structures they represent.
Prerequisites
- Basic notion of set theory (cardinality of sets, mappings, bijections, cartesian product, disjoint union, etc);
- Polynomials and formal power series (representation, convolution formula, power series definitions of $$$\exp$$$ and $$$\log$$$);
- Elementary combinatorics (combinations, partitions, etc).
Although combinatorial species are defined with category theory concepts, I will try to avoid them for simplicity. However, knowledge of some category theory concepts would greatly simplify the reading experience.
Some of definitions use pretty dense mathematical notation, I will follow up with informal explanation right away when it is the case.
Commutative diagrams
I will also use commutative diagrams to illustrate complicated identities. You may use the explanation below as a reference.
Every diagram is also provided with a more verbose text description, so don't be afraid if the concept seems complicated.
Definitions
A mapping $$$F$$$ that maps elements of $$$A$$$ to elements of $$$B$$$ is denoted as $$$F : A \mapsto B$$$.
Def. 1. The identity map $$$\operatorname{Id}_A : A \mapsto A$$$ is defined as $$$\operatorname{Id}_A(a) = a$$$ for $$$a \in A$$$.
Def. 2. Let $$$F : A \mapsto B$$$ and $$$G : B \mapsto C$$$. Then the composition $$$G \circ F$$$ is defined as $$$(G \circ F)(a) = G(F(a))$$$ for $$$a \in A$$$.
In the definition below we use a notion of a class. Informally, it is a collection of sets joined by some property, which does not have to be a set of its own, but for which we may still consider some mappings (functions) on top of it. It is also possible to formalize the concept or to bypass the need for it to not be a set, see the comment below.
Def. 3. Let $$$U$$$ be a class of finite sets. A combinatorial species is a mapping $$$F : U \mapsto U$$$ and a family of bijections $$$F_\sigma : F(A) \mapsto F(B)$$$ defined for every bijection $$$\sigma : A \mapsto B$$$ between $$$A,B \in U$$$ in such way that
- If $$$\sigma : A \mapsto B$$$ and $$$\tau : B \mapsto C$$$ are bijections, then $$$F_{\tau \circ \sigma} = F_\tau \circ F_\sigma$$$;
- For $$$B=A$$$ and $$$\operatorname{Id}_A : A \mapsto B$$$ it holds that $$$F_{\operatorname{Id}_A} = \operatorname{Id}_{F(A)}$$$.
The elements of $$$F(A)$$$ are called the $$$F$$$-structures and the bijection $$$F_\sigma$$$ is called the transport of $$$\sigma$$$ along $$$F$$$-structures.
In category theory terms, a combinatorial species is a functor on the category of finite sets.
Informally, $$$F(A)$$$ is a set of combinatorial structures (graphs, trees, sequences, etc) that are defined by the species $$$F$$$ and labeled by the elemenets of $$$A$$$. The bijections $$$F_\sigma$$$ define the rules in which structures change after re-labeling. In this terms, the rules are read as
- Re-labeling from $$$A$$$ to $$$B$$$ using $$$\sigma$$$ and then from $$$B$$$ to $$$C$$$ using $$$\tau$$$ should be same as re-labeling directly from $$$A$$$ to $$$C$$$ using $$$\tau \circ \sigma$$$;
- Re-labeling from $$$A$$$ to $$$A$$$ using the identity map should not change $$$F(A)$$$.
Examples
- Set species is defined as $$$E(A) = \{A\}$$$, combinatorial structure is a set of $$$|A|$$$ elements labeled by $$$A$$$;
- $$$n$$$-set species is defined as $$$E_n(A)= \{A\}$$$ if $$$|A|=n$$$ and $$$E_n(A)=\varnothing$$$ otherwise;
- Singleton species $$$X$$$ is defined as $$$X(A)=E_1(A)$$$;
- Subset species is defined as $$$F(A) = 2^A$$$, combinatorial structure is a subset of $$$A$$$;
- Permutation species $$$S$$$ is defined as $$$S(A) = S_{A}$$$, combinatorial structures are permutations (bijections to itself) of $$$A$$$;
- Graph species is defined as $$$F(A) = \{(A, E) : E \subset A \times A\}$$$, combinatorial structures are graphs with $$$A$$$ as vertices;
- Cycle species $$$C$$$ corresponds to combinatorial structures being cycles of $$$|A|$$$ elements labeled by $$$A$$$;
- Partition species $$$\operatorname{Par}$$$ corresponds to combinatorial structures being partitions of $$$A$$$;
- Linear order species $$$L$$$ corresponds to combinatorial structures being ordered $$$|A|$$$-tuples of distinct elements from $$$A$$$.
Species isomorphism
Def. 4. Let $$$F$$$ and $$$G$$$ be two species. Species isomorphism $$$\alpha$$$ is a family of bijections $$$\alpha_A : F(A) \mapsto G(A)$$$ for $$$A \in X$$$, such that for every bijection $$$\sigma : A \mapsto B$$$, and every $$$f \in F(A)$$$ it holds that $$$G_\sigma(\alpha_A(f)) = \alpha_B(F_\sigma(f))$$$.
In category theory terms, the mapping $$$\alpha$$$ is a natural transformation.
Informally, $$$\alpha_A$$$ tells us how to transform any combinatorial structure of the species $$$F(A)$$$ into the one of $$$G(A)$$$, so that the transform is consistent with any re-labeling from $$$A$$$ to $$$B$$$.
Examples
Let $$$X_n = \{1, 2, \dots, n\}$$$.
- Species of subsets is isomorphic to the species of ordered possibly empty partitions into two blocks.
- E.g. the subset $$$\{1, 3, 4\}$$$ of $$$X_5$$$ corresponds to the partition $$$(\{1,3,4\}, \{2, 5\})$$$.
- Species of permutations is isomorphic to the species of sets of cycles.
- E.g. the permutation $$$\sigma = \binom{1~2~3~4}{2~1~4~3}$$$ corresponds to the set of cycles $$$\{(1 \to 2), (3 \to 4)\}$$$.
Note that the species of linear orders $$$G$$$ (orderings of $$$A$$$) are not isomorphic to the species of permutations $$$F$$$, even though $$$|F(X_n)|=|G(X_n)|=n!$$$. Consider $$$F(X_2) = \left\{\binom{1~2}{1~2},\binom{1~2}{2~1}\right\}$$$ and $$$G(X_2) = \{(1,2), (2, 1)\}$$$. If we relabel with $$$\sigma(1)=2$$$ and $$$\sigma(2)=1$$$, elements of $$$F(X_2)$$$ will not change, while elements of $$$G(X_2)$$$ will get swapped. Hence, there is no $$$\alpha$$$ consistent with such $$$\sigma$$$.
Operations on species
The operations defined below are the core ones that are related to generating functions.
This section uses the concept of the disjoint union of two sets. For sets $$$A$$$ and $$$B$$$, their disjoint union $$$A \sqcup B$$$ is constructed in such way that every element that belongs to both $$$A$$$ and $$$B$$$ appears twice: once as an element of $$$A$$$ and once as an element of $$$B$$$. This is unlike the regular union in which elements from the intersection appear once. You can define the disjoint union formally as
where $$$\circ$$$ marks the elements from $$$A$$$ and $$$\bullet$$$ marks the elements from $$$B$$$.
The disjoint union of $$$A$$$ and $$$B$$$ is formed by the union of elements labeled by the set they came from.
The image by Kismalac is distributed under CC BY-SA 3.0 license.
Def. 5. The addition $$$F+G$$$ of species $$$F$$$ and $$$G$$$ is defined as their disjoint union:
Informally, $$$(F+G)$$$-structure is either an $$$F$$$-structure or a $$$G$$$-structure.
Def. 6. The cartesian product $$$F \times G$$$ of species $$$F$$$ and $$$G$$$ is defined as
Informally, $$$(F \times G)$$$-structure is a pair of an $$$F$$$-structure and a $$$G$$$-structure, both constructed on the set $$$A$$$.
Def. 7. The ordinary product $$$F \cdot G$$$ of species $$$F$$$ and $$$G$$$ is defined as
Informally, $$$(F \cdot G)$$$-structure on $$$A$$$ is a pair of an $$$F$$$-structure on $$$B$$$ and a $$$G$$$-structure on $$$C$$$ such that $$$(B, C)$$$ is an ordered partition of $$$A$$$.
$$$A$$$ is partitioned in $$$A = B \sqcup C$$$, then an $$$F$$$-structure is constructed on top of $$$B$$$ and a $$$G$$$-structure is constructed on top of $$$C$$$.
The image by Brent Yorgey is distributed under CC BY-SA 3.0 license.
Def. 8. Let $$$\pi$$$ be an unordered partition of $$$A$$$. The composition $$$F \circ G$$$ of species $$$F$$$ and $$$G$$$ is defined as
Here $$$\prod$$$ denotes the cartesian product over all elements of $$$\pi$$$.
Informally, $$$(F \circ G)$$$-structure on $$$A$$$ is an $$$F$$$-structure built on top of $$$G$$$-structures that are constructed on each element of the partition.
$$$A$$$ is partitioned by $$$\pi$$$, a $$$G$$$-structure is formed on top of each element of $$$\pi$$$, then an $$$F$$$-structure is formed on top of $$$\pi$$$.
The image by Brent Yorgey is distributed under CC BY-SA 3.0 license.
Examples
- The set species can be represented as a sum of all $$$n$$$-set species:
- The species $$$L_n$$$ of linear orders of $$$n$$$-sets is isomorphic to $$$X^n=E_1^n$$$ and
- The non-empty sets species $$$E^+$$$ is represented as
- $$$E \circ G$$$ is a species of sets of $$$G$$$-structures, $$$E_n \circ G$$$ is a species of $$$n$$$-sets of $$$G$$$-structures;
- $$$S = E \circ C$$$: a species of permutations is isomorphic to the species of sets of cycles;
- $$$\operatorname{Par} = E \circ E^{+}$$$: a species of partitions is a species of sets of non-empty sets.
Cardinalities of species operations
Note that the cardinality of $$$F(A)$$$ is determined by the cardinality of $$$A$$$ (otherwise $$$F_\sigma$$$ wouldn't be a bijection).
Let $$$f_i = |F(A)|$$$ for $$$|A|=i$$$ and $$$g_j = |G(A)|$$$ for $$$|A|=j$$$. What can we say about $$$|(F+G)(A)|$$$ and $$$|(F\cdot G)(A)$$$ for $$$|A|=k$$$?
- For disjoint union, the formula is simple:
- Correspondingly, for the cartesian product:
- For the ordinary product:
- And for the composition (assuming $$$g_0=0$$$):
In the last two formulas we have used the fact that there are $$$\binom{k}{i}$$$ ways to partition a set $$$A$$$ of size $$$k$$$ into sets $$$B$$$ and $$$C$$$ of sizes $$$i$$$ and $$$k-i$$$. Similarly for the composition, there are
ways to partition a set into $$$i$$$ sets of sizes $$$j_1, \dots, j_i$$$. The division by $$$i!$$$ here is needed to account for partitions being unordered, as every unordered partitions is counted for every permutation of $$$(j_1, \dots, j_i)$$$ and there are $$$i!$$$ such permutations.
Generating functions
The idea behind generating functions is to define a class of objects with operations of sum, product and composition that is consistent with a way these operations are defined above for species. The formulas above for the ordinary product and the composition could be rewritten in the following way:
- For $$$h_k = |(F \cdot G)(A)|$$$ with $$$|A|=k$$$:
- For $$$h_k = |(F \circ G)(A)|$$$ with $$$|A|=k$$$:
These formulas are consistent with the following definition:
Def. 9. The exponential generating function (EGF) of a species $$$F$$$ is defined as a formal power series
where $$$f_k = |F(X_k)|$$$.
With this definition, we can show that
- The addition of species yields the addition of the generating functions:
- The cartesian product of species yields something similar to the Hadamard product of the generating functions:
- The ordinary product of species yields the product of the generating functions:
- The composition of species yields the composition of the generating functions:
The last formula is only valid for $$$G(0)=g_0=0$$$, that is $$$G(\varnothing)=\varnothing$$$, as all sets in the partition are non-empty.
Examples
- The EGF of sets species is
The expression above provides the combinatorial meaning to $$$\exp F(x)$$$ and $$$\log F(x)$$$ operations on the generating functions. Specifically, $$$\exp F(x)$$$ is the generating function for the disjoint sets of $$$F$$$ structure, while $$$\log F(x)$$$ makes the iverse transform from disjoint sets of $$$G$$$ to $$$G$$$ itself. The result more commonly known as the exponential formula.
- The EGF of permutations species is
- Permutations can be represented as sets of cycles. It means that $$$\frac{1}{1-x} = e^{C(x)}$$$, where $$$C(x)$$$ is the generating function of cycles. Therefore,
- The EGF of $$$n$$$-sets species is $$$E_n(x)=\frac{x^n}{n!}$$$. In particular, the EGF of a singleton species is $$$X(x)=E_1(x) = x$$$.
- Species of linear orders is an ordered tuple of $$$k$$$ singletons for some $$$k$$$, hence
- Balanced bracket sequence species $$$B$$$ is a (possibly empty) sequence (linear order) of balanced bracket sequences, each of them wrapped in a pair of brackets. The generating function for the balanced bracket sequence wrapped in a pair of brackets is $$$X \cdot B$$$ (as it can be represented as a pair of the outer brackets, perceived as a singleton, and the underlying sequence). Correspondingly, a sequence of wrapped bracket sequences is $$$L \circ (X \cdot B)$$$ and it has a generating function $$$L(xB(x))$$$. Therefore:
Solving the equation above for $$$B(x)$$$ yields $$$xB^2(x) - B(x) + 1 =0$$$, hence
which corresponds to the genfunc of the Catalan numbers.
- The partition is a set of non-empty sets: $$$\operatorname{Par} = E \circ E^+$$$. Therefore, the EGF of the partition species is
Unlabeled species
The techniques and concepts developped above also can be used to deal with unlabeled objects.
Def. 10. Two structures $$$\alpha, \beta \in F(A)$$$ are equivalent if there is a bijection $$$\sigma: A \mapsto A$$$ such that $$$F_\sigma(\alpha) = \beta$$$.
Informally, the structures are equivalent if one is obtainable from another via re-labeling to the same set $$$A$$$.
Def. 11. An unlabeled structure is an equivalence class on $$$F(A)$$$ under the equivalence relation defined above.
Informally, unlabeled structure is what we get if we "erase" labels in $$$F(A)$$$ (e.g. erase labels of vertices in graphs, etc).
On the left and on the right are equivalent trees. In the middle is the representation of their unlabeled structure.
Def. 12. The ordinary generating function (OGF) of a species $$$F$$$ is defined as a formal power series
where $$$\tilde f_k$$$ is the number of unlabeled $$$F$$$-structures on $$$X_k$$$.
One can prove that $$$\widetilde{(F \cdot G)}(x) = \widetilde F(x) \widetilde G(x)$$$ and $$$\widetilde{(F+G)}(x) = \widetilde F(x) + \widetilde G(x)$$$. The ordinary product formula stands, as you do not have to multiply by $$$\binom{k}{i}$$$ to account for the distribution of labels between the first and the second sets of the partition.
At the same time, $$$\widetilde{(F \circ G)}(x)$$$ generally can't be computed just from $$$\widetilde F(x)$$$ and $$$\widetilde G(x)$$$.
Examples
- The OGF of $$$L$$$ species is $$$\widetilde L(x) = \sum\limits_{k=0}^\infty x^k = \frac{1}{1-x}$$$, as all ordered $$$n$$$-tuples are equivalent under re-labeling.
- The OGF of $$$S$$$ species is $$$\widetilde S(x) = \sum\limits_{k=0}^\infty k! x^k$$$, as bijections are invariant under the relabeling.
As you see, although $$$L(x)=S(x)$$$, at the same time $$$\widetilde L(x) \neq \widetilde S(x)$$$, which highlights the fact that $$$S$$$ and $$$L$$$ are not isomorphic species.
Exercises
- Show that $$$\widetilde{(L \circ F)}(x) = \widetilde L(\widetilde F(x))=\frac{1}{1-\widetilde F(x)}$$$ for any species $$$F$$$.
- Show that $$$\widetilde X(x) = x$$$, $$$\widetilde E(x) = \frac{1}{1-x}$$$, but $$$\widetilde{(E \circ X)}(x) = 1+x$$$ for $$$X=E_1$$$ is the singleton species and $$$E$$$ is the sets species.
- Show that, generally, $$$\widetilde{(E \circ F)}(x) = \exp\left(\widetilde F(x)-\frac{\widetilde F(x^2)}{2}+\frac{\widetilde F(x^3)}{3}-\dots\right)$$$ for any species $$$F$$$.
The structure of the composition on unlabeled structures is a topic of interest in itself and can be found in a more or less general form with the so-called cycle index series, which in turn leads to the Pólya enumeration theorem (which generalizes Burnside's lemma). But to avoid math overload we'll leave this topic for another time.
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