Linked partition ideals, directed graphs and $q$-multi-summations
Shane Chern

TL;DR
This paper develops a graph-theoretic approach to derive Andrews--Gordon type generating function identities using $q$-difference systems and $q$-multi-summations, providing non-computer-assisted proofs linked to binary trees.
Contribution
It introduces a novel method connecting graph theory, $q$-difference systems, and $q$-multi-summations to prove Andrews--Gordon identities without computational aid.
Findings
Derived new Andrews--Gordon type identities
Connected $q$-multi-summations with binary trees
Provided non-computer-assisted proofs
Abstract
Finding an Andrews--Gordon type generating function identity for a linked partition ideal is difficult in most cases. In this paper, we will handle this problem in the setting of graph theory. With the generating function of directed graphs with an ``empty'' vertex, we then turn our attention to a -difference system. This -difference system eventually yields a factorization problem of a special type of column functional vectors involving -multi-summations. Finally, using a recurrence relation satisfied by certain -multi-summations, we are able to provide non-computer-assisted proofs of some Andrews--Gordon type generating function identities. These proofs also have an interesting connection with binary trees.
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Linked partition ideals, directed graphs and -multi-summations
Shane Chern
Department of Mathematics, Penn State University, University Park, PA 16802, USA
Abstract.
Finding an Andrews–Gordon type generating function identity for a linked partition ideal is difficult in most cases. In this paper, we will handle this problem in the setting of graph theory. With the generating function of directed graphs with an “empty” vertex, we then turn our attention to a -difference system. This -difference system eventually yields a factorization problem of a special type of column functional vectors involving -multi-summations. Finally, using a recurrence relation satisfied by certain -multi-summations, we are able to provide non-computer-assisted proofs of some Andrews–Gordon type generating function identities. These proofs also have an interesting connection with binary trees.
Keywords. Linked partition ideal, directed graph, -multi-summation, -difference system, generating function, Andrews–Gordon type series.
2010MSC. Primary 11P84; Secondary 05A17, 05C05, 05C20, 33D70.
1. Introduction
1.1. Rogers–Ramanujan type identities
The two Rogers–Ramanujan identities [17, 19], which state as follows, have attracted a great deal of research interest in the theory of partitions.
Theorem** (Rogers–Ramanujan identities).**
(i). The number of partitions of a non-negative integer into parts congruent to modulo is the same as the number of partitions of such that each two consecutive parts have difference at least .
(ii). The number of partitions of a non-negative integer into parts congruent to modulo is the same as the number of partitions of such that each two consecutive parts have difference at least and such that the smallest part is at least .
There are many identities of the same flavor, including the Andrews–Gordon identity [1, 10], the Göllnitz–Gordon identities [9, 11], the Capparelli identities [7] and so forth. In 2014, Kanade and Russell [12] further proposed six challenging conjectures on Rogers–Ramanujan type identities, the latter two of which were proved in 2018 by Bringmann, Jennings-Shaffer and Mahlburg [6].
Among these Rogers–Ramanujan type identities, two types of partition sets are considered. One partition set is consist of partitions under certain congruence condition. For example, in the first Rogers–Ramanujan identity, we enumerate partitions into parts congruent to modulo . The other partition set contains partitions under certain difference-at-a-distance theme. Let us first adopt a definition in [12].
Definition 1.1**.**
We say that a partition satisfies the difference at least at distance condition if, for all , .
In this setting, we may paraphrase the corresponding partition set in the first Rogers–Ramanujan identity as the set of partitions with difference at least at distance .
Although it is straightforward to find the generating function for partitions under given congruence condition, it is always difficult to obtain an analytic form of generating function for partitions under a difference-at-a-distance theme — this is why the six conjectures of Kanade and Russell remained mysterious for years. But this problem was recently settled by Kanade and Russell themselves [13] and independently by Kurşungöz [15, 16] using combinatorial approaches, and later by Li and the author [8] using algebraic methods. For example, in the Kanade–Russell conjecture , we would like to count
“partitions with difference at least at distance such that if two consecutive parts differ by at most , then their sum is divisible by .”
It was shown that its generating function is a double summation as follows:
[TABLE]
where runs through all such partitions, denotes the number of parts in and is the size of (that is, the sum of all parts in ).
1.2. Span one linked partition ideals
In the 1970s, George Andrews [2, 3, 4] have already started a systematic study of Rogers–Ramanujan type identities and developed a general theory in which the concept of linked partition ideals was introduced. However, in this paper, we will not go into details of this concept due to its lengthy definition. The interested readers may refer to Chapter 8 of Andrews’ book: The theory of partitions [5].
What we are interested in this paper is a special case of linked partition ideals — the span one linked partition ideals. In fact, this special case is enough to cover most partition sets under difference-at-a-distance themes.
Let us first fix some notations.
Let be the set of all partitions. We define a map by sending a partition to another partition which is obtained by adding to each part of . For example, . For , we iteratively write . Also, for two partitions and , their sum is constructed by counting the total appearances of each different part in and . For example, if and , then .
Let be a finite set of partitions containing the empty partition . For each partition , we define its linking set by a subset of containing the empty partition. Also, we require that the linking set of the empty partition, , equals . It is possible to construct finite chains
[TABLE]
such that , and for all , . We may further extend such a finite chain to an infinite chain ending with a series of empty partitions
[TABLE]
Let be a positive integer no smaller than the largest part among all partitions in . The above infinite chain uniquely determines a partition by
[TABLE]
which is equivalent to
[TABLE]
Let us collect such partitions along with the empty partition (which corresponds to the infinite chain ) and obtain a partition set . Then is called a span one linked partition ideal.
Example 1.1**.**
In the first Rogers–Ramanujan identity, we consider partitions with difference at least at distance . It is not hard to verify that this partition set is a span one linked partition ideal where ,111Here denotes a partition containing one part of size and likewise denotes a partition containing one part of size . the linking sets are
[TABLE]
and .
1.3. Generating function of span one linked partition ideals
Given a span one linked partition ideal , one crucial problem is to determine its generating function
[TABLE]
Assume that where , the empty partition. We define a -matrix by
[TABLE]
and a diagonal matrix by
[TABLE]
Let the -tail of a partition be the collection of parts in .
Theorem 1.1**.**
For each , we denote by the subset of partitions in whose -tail is . We further write
[TABLE]
Let and be defined as in (1.6) and (1.7), respectively. Then, for and ,
[TABLE]
Remark 1.1*.*
Recall that (so that for all ) and . It follows that all entries in the first row and column of are . Further, the first entry in is also . When and , we have
[TABLE]
Throughout, means
[TABLE]
Remark 1.2*.*
We have
[TABLE]
but since , it is not hard to see that
[TABLE]
Hence,
[TABLE]
In September 2018, George Andrews communicated to Zhitai Li and the author a conjecture on the generating function for linked partition ideals, which was recorded in [8].
Conjecture 1.1** (Andrews).**
Every linked partition ideal has a two-variable generating function of the form
[TABLE]
in which , and are linear forms in and is a quadratic form in . Here the coefficient of the term is the number of partitions of in this linked partition ideal with parts.
By examining a number of examples in [8, 13, 15, 16], it seems that in some cases the ’s in Theorem 1.1 are of a unified form of -multi-summations. It motivates us to consider a matrix factorization problem involving column functional vectors of certain -multi-summations. This, in turn, provides some crude ideas for the conjecture of Andrews.
Further, the algebraic method in [8] of proving generating function identities such as (1.1) relies heavily computer algebra (Mathematica packages qMultiSum [18] and qGeneratingFunctions [14]). Now we are able to present a new approach to get rid of such computer assistance.
1.4. Outline of this paper
This paper is organized as follows.
In §2, we first define the generating function for walks in a directed graph . Then, by assigning an empty vertex to , we obtain a modified directed graph . The generating function of can be defined naturally. Now we merely need to define the associated directed graph of a span one linked partition ideal and then deduce Theorem 1.1 from the generating function of this associated directed graph.
In §3, we will study a -difference system arising from Theorem 1.1. Two examples will then be discussed: one example comes from the Rogers–Ramanujan identities and the other is about the Kanade–Russell conjectures –. Then, a matrix factorization problem will be identified from the two examples.
In §4, we turn to non-computer-assisted proofs of two identities obtained in §3. The two identities, in turn, can be used to prove Andrews–Gordon type generating function identities for span one linked partition ideals. Our approach relies on a key recurrence relation obtained in §4.1. Also, we are able to illustrate the proofs by binary trees.
Finally, we are going to raise some open problems in §5.
2. Directed graphs
Let be a directed graph where is the set of vertices and is the set of directed edges. Throughout, we allow loops (that is, directed edges connecting vertices with themselves) in but for any two vertices and , not necessarily distinct, we allow at most one directed edge connecting with . Let . Let be the adjacency matrix of , that is,
[TABLE]
We say that is a walk of step in if is a chain of vertices
[TABLE]
such that for each , there is an edge from to . Let be the set of walks of step in .
2.1. Generating function for walks in a directed graph
To define the generating function for step walks in a directed graph , we assign two weights to each vertex : one is called length, denoted by , and the other is called size, denoted by .
Let the shift be a non-negative integer.
For any walk ,
[TABLE]
we define its generating function by
[TABLE]
Now we are able to define the generating function for step walks from to for any :
[TABLE]
Let us define a diagonal matrix by
[TABLE]
Theorem 2.1**.**
Let be the adjacency matrix of and let be as in (2.5). Then is the -th entry of
[TABLE]
Remark 2.1*.*
Let us set . Then is a identity matrix and hence (2.6) becomes . Since equals the number of walks of step from vertex to vertex , Theorem 2.1 immediately leads to a well-known result in graph theory:
Corollary 2.2**.**
The number of walks of step from vertex to vertex is the -th entry of .
Proof of Theorem 2.1.
We induct on . When , that is, the chain of vertices in (2.2) contains only one vertex , it follows that
[TABLE]
which is identical to the -th entry of .
Now let us assume that the theorem is true for some . We also write for convenience
[TABLE]
Then . Further,
[TABLE]
On the other hand,
[TABLE]
Hence, , which is our desired result. ∎
2.2. Assigning an empty vertex
Let us assume that is an empty vertex, that is, its length and size are both [math]:
[TABLE]
We also assume that, for , and are both positive integers.
We require that, for each , there is an edge from vertex to the empty vertex . Hence, the entries in the first column of the adjacency matrix are all .
We call such modified directed graph .
For any finite walk in ,
[TABLE]
we may extend it to an infinite walk
[TABLE]
It follows from the assumptions and that
[TABLE]
Let denote the set of infinite walks in ending with , a series of empty vertex.
We are now in the position to define the generating function of , by
[TABLE]
Theorem 2.3**.**
For each , let denote the generating function for infinite walks in starting at . Let the shift be a positive integer. Let and be defined as in (2.1) and (2.5), respectively. Then, for and ,
[TABLE]
Proof.
We simply observe that, for each , is the -th entry of
[TABLE]
The desired result therefore follows. ∎
2.3. Proof of Theorem 1.1
To prove Theorem 1.1, let us define the associated directed graph of a span one linked partition ideal .
We first define the set of vertices. Since is a finite set of partitions, we may treat each as a vertex. We also define the length of as the number of parts in and the size of as the sum of all parts in . In particular, since is an empty partition so that and , we may treat as an empty vertex.
We next define the directed edges in a natural way. For , if , then we say that there is an edge from vertex to vertex . Since , we know that, for each , there is an edge from vertex to vertex .
We call this graph the associated directed graph of , denoted by . In fact, is a modified directed graph described in §2.2.
Recall from (1.4) that each partition in can be uniquely decomposed as
[TABLE]
so that as long as . Hence, we have a natural bijection to infinite walks in ending with :
[TABLE]
Further, if is an empty partition, then the resulted infinite walk is simply .
Now let us define to be the shift. Then
[TABLE]
Hence,
[TABLE]
The rest follows directly from Theorem 2.3.
Example 2.1**.**
It is shown in Example 1.1 that partitions with difference at least at distance form a span one linked partition ideal where , the linking sets are
[TABLE]
and . We represent its associated directed graph in Fig. 1.
3. -Multi-summations
3.1. A -difference system and the uniqueness of solutions
Recall that in Theorem 1.1 we have shown that
[TABLE]
Let us focus on
[TABLE]
Notice that
[TABLE]
If we further write for each , then the column vector
[TABLE]
satisfies the -difference system
[TABLE]
Remark 3.1*.*
It follows from (3.3) that
[TABLE]
Recall that, we have defined in Theorem 1.1 that, for each , denotes the subset of partitions in whose -tail is . Further, is the generating function of . Since is a -matrix, it follows that for each . More importantly, since the empty partition is contained in but not in for , we have and for . Since the entries in the first column of are all , it follows that
[TABLE]
We next show the uniqueness of solutions of (3.3).
Proposition 3.1**.**
In the -difference system (3.3), we assume that, for each , . If , then there exists a solution to (3.3). Further, the solution is uniquely determined by .
Proof.
For each , let us write
[TABLE]
where for . We also write for notational convenience that for . Then,
[TABLE]
Recall that and for all . We have that, for ,
[TABLE]
Setting gives the requirement . Also, uniquely determines for all and by (3.6). ∎
3.2. Two examples
Recall that, for each , denotes the subset of partitions in whose -tail is . Further,
[TABLE]
3.2.1. Example 1
In the first example, we consider
“partitions with difference at least at distance .”
This partition set obviously corresponds to the Rogers–Ramanujan identities. In Example 1.1, we have shown that it is a span one linked partition ideal where with , and , the linking sets are
[TABLE]
and .
Notice that the generating function for partitions with difference at least at distance is
[TABLE]
and that the generating function for partitions with difference at least at distance with the smallest part is
[TABLE]
We know from (3.4) that
[TABLE]
Hence, by (3.7) and (3.8), if we put
[TABLE]
then we have the following relation from (3.3):
[TABLE]
Conversely, if we are able to prove (3.11) directly (notice that ), then by Remark 3.1 and Proposition 3.1, we can compute that
[TABLE]
Also, (3.7) and (3.8) can be deduced with no difficulty.
3.2.2. Example 2
In the second example, we consider
“partitions with difference at least at distance such that if two consecutive parts differ by at most , then their sum is divisible by .”
This partition set corresponds to the Kanade–Russell conjectures –. It was shown in [8] that this partition set is a span one linked partition ideal where , and along with the linking sets are given as follows.
[TABLE]
It was also shown in [8] that the generating function for such partitions is
[TABLE]
that the generating function for such partitions with the smallest part is
[TABLE]
and that the generating function for such partitions with the smallest part is
[TABLE]
We know from (3.4) that
[TABLE]
Hence, by (3.12), (3.13) and (3.14), if we put
[TABLE]
then we have the following relation from (3.3):
[TABLE]
Conversely, we are also able to recover
[TABLE]
as well as (3.12), (3.13) and (3.14) provided that we have proved (3.11) directly since .
3.3. A matrix factorization problem
Motivated by (3.11) and (3.18), we turn our interest to a matrix factorization problem as follows.
Let be a positive integer. Let be a fixed symmetric matrix. Let and be fixed.
Let be a set of -multi-summations defined by
[TABLE]
where is of the form
[TABLE]
and the additional condition reads: for all ,
[TABLE]
Now we consider a column functional vector
[TABLE]
where for all .
We expect to satisfy the following factorization property.
Factorization Property. Let be a -matrix such that all entries in the first row and column are . Let be a diagonal matrix such that all (diagonal) entries are monic monomials in and with . We say that satisfies the Factorization Property if
[TABLE]
for some positive integer .
Example 3.1**.**
In the example in §3.2.1, we have , , and
[TABLE]
Also, .
Example 3.2**.**
In the example in §3.2.2, we have , , and
[TABLE]
Also, .
4. Non-computer-assisted proofs
In [8], Li and the author provided an algebraic method to prove Andrews–Gordon type generating function identities such as (3.12), (3.13) and (3.14). However, one defect in that work is that the proofs rely heavily on computer assistance. Our aim here is to overcome this problem.
As we have seen in §3.2.2, to prove (3.12), (3.13) and (3.14), it suffices to show (3.18).
Our starting point is a recurrence relation enjoyed by defined in (3.20).
4.1. A recurrence relation
Recall that
[TABLE]
Theorem 4.1**.**
For , we have
[TABLE]
Proof.
We have (recall that is a symmetric matrix so that for )
[TABLE]
The desired identity therefore follows. ∎
Recall that the Factorization Property says that
[TABLE]
Further, if , then
[TABLE]
Perhaps, if we expect to apply Theorem 4.1 to deduce Andrews–Gordon type generating function identities, we need to attach some additional conditions to the Factorization Property.
Additional Conditions. For all :
- (i).
; 2. (ii).
for all , .
4.2. Proof of (3.11)
We first prove (3.11), which is relatively easy.
Theorem 4.2**.**
Let
[TABLE]
Then,
[TABLE]
We have shown in Example 3.1 that in this case , , , and
[TABLE]
Further, it follows from (4.2) that
[TABLE]
To prove (4.5), it suffices to show that
[TABLE]
It follows from Theorem 4.1 that
[TABLE]
Also,
[TABLE]
Identities (4.8) and (4.9) are therefore proved.
4.3. Proof of (3.18)
We next prove (3.18).
Theorem 4.3**.**
Let
[TABLE]
Then,
[TABLE]
We have shown in Example 3.2 that in this case , , , and
[TABLE]
Again, it follows from (4.2) that
[TABLE]
To prove (4.5), it suffices to show that
[TABLE]
We will adopt the following notation to make our argument more transparent. First, a bold term indicates that we will apply Theorem 4.1 to this term. Also, we will italicize one coordinate if Theorem 4.1 is applied to that coordinate. Finally, the two underlined terms in the next line are deduced by the previous bold term.
It follows from Theorem 4.1 that
[TABLE]
Also,
[TABLE]
Finally,
[TABLE]
Identities (4.17), (4.18) and (4.19) are therefore proved.
4.4. Binary trees
Interestingly, the previous two proofs can be represented nicely by binary trees.
More precisely, all nodes are of the form . Then Theorem 4.1 gives two children of : the left child is , weighted by , and the right child is , weighted by . See Fig. 2.
Now the proofs of (3.11) and (3.18) can be illustrated by Figs. 3 and 4, respectively.
In fact, it is relatively easy to deduce other much more complicated identities of the same flavor as (3.11) and (3.18). For example, the next result follows from the binary tree in Fig. LABEL:fig:ex3.
Theorem 4.4**.**
Let
[TABLE]
Let
[TABLE]
and
[TABLE]
Then,
[TABLE]
Proof.
Let , , and . We have
[TABLE]
The rest follows from the binary tree in Fig. LABEL:fig:ex3. ∎
5. Closing remarks
Our main concern is about the Factorization Property. Recall that is a -matrix such that all entries in the first row and column are , and is a diagonal matrix such that all (diagonal) entries are monic monomials in and with . The Factorization Property says that
[TABLE]
where is a positive integer and
[TABLE]
in which is of the form
[TABLE]
Probably we also require the Additional Conditions: for all :
- (i).
; 2. (ii).
for all , .
Problem 5.1*.*
For given and , is it possible to determine if there exist and such that (5.1) is true?
We have another problem from a different direction.
Problem 5.2*.*
Are there any criteria of that we are always able to find , and such that (5.1) is true?
The last problem is perhaps simpler.
Problem 5.3*.*
Can we construct a family of , , and such that (5.1) holds?
If we are able to find such construction, then we may derive a family of span one linked partition ideals (or at least a family of modified directed graphs) with nice analytic generation functions.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] G. E. Andrews, An analytic proof of the Rogers–Ramanujan–Gordon identities, Amer. J. Math. 88 (1966), 844–846.
- 2[2] G. E. Andrews, Partition identities, Advances in Math. 9 (1972), 10–51.
- 3[3] G. E. Andrews, A general theory of identities of the Rogers-Ramanujan type, Bull. Amer. Math. Soc. 80 (1974), 1033–1052.
- 4[4] G. E. Andrews, Problems and prospects for basic hypergeometric functions, Theory and application of special functions (Proc. Advanced Sem., Math. Res. Center, Univ. Wisconsin, Madison, Wis., 1975) , pp. 191–224. Math. Res. Center, Univ. Wisconsin, Publ. No. 35, Academic Press, New York, 1975.
- 5[5] G. E. Andrews, The theory of partitions , Reprint of the 1976 original. Cambridge Mathematical Library. Cambridge University Press, Cambridge, 1998. xvi+255 pp.
- 6[6] K. Bringmann, C. Jennings-Shaffer, and K. Mahlburg, Proofs and reductions of various conjectured partition identities of Kanade and Russell, to appear in J. Reine Angew. Math. Available at ar Xiv:1809.06089.
- 7[7] S. Capparelli, On some representations of twisted affine Lie algebras and combinatorial identities, J. Algebra 154 (1993), no. 2, 335–355.
- 8[8] S. Chern and Z. Li, Kanade–Russell conjectures and linked partition ideals, submitted. Available at ar Xiv:1809.08655.
