This main section will be given as three subsections under the names of Generating pictures (as Part I), Characteristic polynomials (as Part II) and Array polynomials (as Part III). In our study, we will consider a special presentation (see (2) below). Since we will define characteristic polynomials and generating functions by considering the exponent sums of the generating pictures over , the first subsection is aimed at presenting these generating pictures and the related results about them.
2.1 Part I: Generating pictures of
It is strictly referred to [6–8] for fundamentals and properties of the algebraic subject used in this subsection. We further note that most of the material in here can also be found in [9].
We will mainly present the efficiency (equivalently, p-Cockcroft property for a prime p) for the semi-direct product of free abelian monoid having rank two by a finite cyclic monoid A of order k. Hence, for and , let be a presentation of A and be a presentation of . Suppose that ψ is the endomorphism of , where such that the entries ’s are the positive integers defined by and . Hence the mapping () induces a well-defined monoid homomorphism if and only if , or equivalently,
where (see [9] for the details). Since there exists an ordering between the relators of A, that is, for , we have , it implies that to define an induced homomorphism , that is, to define , we must take congruence relation between and as given in (1) with the assumption . By [9], the k th and l th powers of the matrices can be obtained by ordinary matrix multiplication. Thus, let us suppose that the k th () power of ℳ is defined as
while, applying a similar idea, the l th () power of ℳ is defined as . Now suppose that (1) holds. Then the semi-direct product has a presentation
(2)
where , , and , respectively.
In the rest of this paper, we will assume that Equality (1) always holds when we talk about the semi-direct product E of by A.
We know that the trivializer set (see [7]) of of consists of the trivializer set of , of and the sets , (see [[8], Lemma 1.5]). In our case, by [16], is equal to the empty set since, for the relator S, we have . Thus is aspherical and so p-Cockcroft for any prime p. Nevertheless, the trivializer set of the Squier complex can be found in [[7], Lemma 4.4]. Finally, the subsets and contain the generating pictures (which contains a non-spherical subpicture as depicted in [7]), and of the trivializer set . These pictures can be presented as in Figure 1(a) and (b).
For simplicity, let us define the sum of each entries of power matrices
(3)
Suppose that the positive integer d, defined in (1), is equal to a prime p such that . Then, in [9], the following result has been recently obtained.
Proposition 1 ([9])
Let p be a prime or 0. Then the presentation , as in (2), for the monoid is p-Cockcroft if and only if
-
(a)
,
-
(b)
According to the above proposition, let us take an efficient presentation
(4)
Suppose that p is an odd prime. Then, in particular, in (4) is not efficient if is either equivalent to 0 or by modulo p. Therefore one of the consequences of Proposition 1 is the following.
Proposition 2 ([9])
The presentation in (4) is minimal but inefficient if p is an odd prime and
2.2 Part II: Characteristic polynomials over
Let us reconsider the semi-direct product of by A with a presentation as defined in (2). Now it is well known that if one wants to define such a presentation , then it must satisfy condition (1). Therefore we certainly have -matrices ℳ, and , and so we can consider the related characteristic polynomials of these matrices.
Let and be the only eigenvalues of the matrix ℳ. Since the entries of ℳ are positive integers, and could be any numbers including complex ones. As a restriction, throughout all paper, we will assume that these eigenvalues are real. By using the basic fact of linear algebra, we then have the eigenvalues of as and while the eigenvalues of as and . Thus, for a variable ν, the characteristic polynomials over each of the matrices ℳ, and will be of the form
(5)
respectively.
Now let us think of (5) as a piece of the system of characteristic polynomials that are obtained from any -matrix. In fact, there are an infinite number of polynomials of the type (5) since one can find an infinite number of matrices having positive integer entries that satisfy condition (1). On the other hand, by the definition of finite monogenic monoids and semigroups (see [17]), for a fixed value of k, one can choose the value l from the set . It is clear that each of these systems in (5) will be constructed as a choice of l in this set, and so we will have times different systems of characteristic polynomials as in (5) such that each of them contains an infinite number of polynomials. The following proposition will be based on this fact.
Proposition 3 Each characteristic polynomial obtained from matrices, as in system (5), appears to be a congruence class.
Proof Before giving the proof, we note that this result can of course be adapted to matrices, which will not be needed in here.
The normal form theorem [18], NFT for short, basically says that each congruence class contains a unique reduced word. It is well known in the branch of combinatorial group theory that the idea of this theorem is the main point when one tries to define a presentation for the related algebraic structure. Therefore, since each presentation and has been obtained by considering NFT, the presentation in (2) must also satisfy NFT. (Although we reminded this theorem by considering only the words over free generators, the idea of NFT can actually be seen in ℚ as fractals or in matrix theory as echelon forms.)
For a fixed modulo d, let us think about the set, say , of all characteristic polynomials, written as in system (5), having the condition , where and . We note that the cardinality .
Nevertheless, for each different , since one can find matrices satisfying the condition in (1), the set can be constructed as a union of times congruence classes, i.e., l-classes. Moreover, again by (1), for each , since we also have
(6)
each of these l-classes contains the characteristic polynomials having eigenvalues , and (for ). On the other hand, by (6), can be taken as the simplest element (characteristic polynomial) having eigenvalues and in each l-class.
Thus, let us choose a power l from the set for a fixed k. Then the set will be constructed for a suitable modulo d according to our choice of l, which satisfies (1). Now, by (6), we have
in system (5). In other words, for a fixed k and modulo d, there exists , where each class contains an infinite number of elements (polynomials). Therefore
where . As a summary, for a chosen d,
such that and .
Hence the result. □
As a next step of Proposition 3, the following result basically states that each semi-direct product presentation as in (2) which is obtained by condition (1) has a characteristic polynomial.
Theorem 1 The presentation in (2) is represented by a unique (up to equivalence) characteristic polynomial defined as in system (5).
Proof By Proposition 3 and as a result of NFT, the simplest (unique reduced) characteristic polynomial in system (5) represents the congruence class of the related l-classes. From (1), we have , , and , where . Thus, by (6), we clearly obtain the equivalences
(7)
by modulo d. Shortly, , where denotes the trace of these matrices, and . This implies that each characteristic polynomial in system (5) is congruent to another by modulo d, and so the simplest polynomial
can be chosen as a representative characteristic polynomial for the presentation in (2) since all these polynomials are in the same l-class. As a result, since is obtained by using both unique reduced words (according to NFT) and the matrix ℳ as the endomorphism , polynomial (8) represents this presentation uniquely as a characteristic polynomial. □
As a consequence of Theorem 1 and Proposition 1, we can give the following result which is a simpler version of Proposition 1 since the efficiency conditions can be expressed as a unique statement.
Theorem 2 For any prime p or 0, the presentation in (2) is p-Cockcroft if and only if , where are the eigenvalues of the -matrix ℳ.
Proof Now, by Theorem 1, it is known that in (2) has a characteristic polynomial as in (8) with a base -matrix ℳ. Let p be any prime or 0, and let be the eigenvalues of ℳ. Thus, we clearly have and . By Proposition 1, since the sufficiency part is clear, let us show the necessity of the proof.
Assume that . Also, let us consider the power matrices and which certainly exist since in (2) is a semi-direct product presentation. So, and . In other words, by considering the sums presented in (3),
and
for some integers and . Hence, by applying side by removing, we get
(9)
which actually implies the truthfulness of the second part of (7).
On the other hand, by Theorem 1,
since each characteristic polynomial in system (5) must be in the same l-class. From the above equivalence, we definitely get and since our assumption does not permit another equivalence option. Furthermore, by keeping in our mind these last equivalences, if we consider (9) again, then we can get and since again the assumption on the determinant is enforced to not get another equivalence option.
Notice that the above processes show that this unique assumption on the determinant of ℳ implies the remaining conditions of Proposition 1. Thus, as a next step of Proposition 1, we clearly get is p-Cockcroft (equivalently, efficient) for any prime p or 0. □
Example 1 By considering the matrix ℳ, one can give the following examples for Theorem 2:
-
(i)
For an odd prime p, if we take , (), and , then we get while . Hence, we get an efficient presentation. However, for even prime, we can still get a semi-direct product presentation for the same matrix entries since . But the presentation will be inefficient.
-
(ii)
For any prime p and , again by taking
we can get , and also . Hence we obtain an efficient presentation which can always be represented by a characteristic polynomial for both cases.
-
(iii)
Similarly, for any prime p, by choosing either (), , and or , , and (), we can still obtain efficient presentations with the equivalence . Further, the representative characteristic polynomial for the related presentation is of the form .
-
(iv)
The above examples can be extended for , where .
As another consequence of Theorem 1, we obtain the following result by considering Proposition 2.
Theorem 3 For an odd prime p, the presentation in (4) is minimal but inefficient if ℳ is a diagonal matrix and the representative characteristic polynomial is of the form which has a strict ordering between roots.
Proof Let ℳ be a diagonal matrix. For an odd prime p, let be the representative characteristic polynomial for . Clearly, the roots 1 and will be the eigenvalues and of ℳ. Then, by (8), we have and . By Proposition 2, this determinant value implies that is inefficient. Notice that since in (4) is a semi-direct product presentation, must be held. Therefore we have . So, by Proposition 3, the polynomial with roots and is in the same congruence class as the simplest characteristic polynomial . In addition, by the assumption, the entries of ℳ should be either , or vice versa . Then, again by Proposition 2, is minimal, as required. □
Example 2 Let and with determinant 2. Thus holds, and the relators of the semi-direct product presentation, as in (4), will be , , and . By Theorem 3, the simplest (unique) characteristic polynomial represents this inefficient but minimal presentation. A similar example can also be obtained by considering the matrix .
Conjecture 1 Let us consider a -matrix ℳ with eigenvalues and , respectively. Then, by considering and , one can investigate whether the minimality conditions of Theorem 3 can be expressed as a unique statement
2.3 Part III: Array polynomials over
In this section, we are mainly interested in the generating functions (in terms of array polynomials) related to the presentations defined in (2) and (4). In [13, 19], by considering the generating pictures in two different group and monoid extensions, the authors have investigated the related generating functions over the presentations of them. However, in a different manner, here we will investigate the array polynomials (as generating functions) in the meaning of characteristic polynomials obtained in the previous section. In other words, by taking into account Proposition 3 and Theorems 1, 2 and 3, we will reach our aim using semi-direct products of monoids studied in this paper.
As noted in [[13], Remark 1.1], if a monoid presentation satisfies efficiency or inefficiency (while it is minimal), then it always contains a minimal number of generators. Working with a minimal number of elements gives a great opportunity to define related generating functions over this presentation. This will be one of the key points in our results.
Our first result of this section is related to the connection of the monoid presentation in (2) with array polynomials. In fact, array polynomials are defined by means of the generating function
(cf. [20–22]). According to the same references, array polynomials can also be defined as follows:
(10)
Since the coefficients of array polynomials are integers, they find a very large application area, especially in system control (cf. [23]). In fact, these integer coefficients give us an opportunity to use the polynomials in our case. We should note that there also exist some other polynomials, namely Dickson, Bell, Abel, Mittag-Leffler etc. having integer coefficients which will not be handled in this paper. Now, by using (10) and keeping in our mind that the coefficients of array polynomials are integers, we clearly have
(11)
Therefore we have the following theorem.
Theorem 4 The presentation defined in (2) has a set of generating functions and
where and are defined as in (11), ’s are the entries of ℳ and ,.
Proof Let us consider the presentation in (2). We recall that for to be a semi-direct product presentation of the free abelian monoid K rank two by cyclic monoid A of order k, by (1), the power matrices and ( and ) must be congruent to each other by modulo d, where . By the meaning of endomorphism, this congruence actually comes from the existence of the relator
where x is the unique generator of A. In this relator, by replacing x by an array polynomial and also considering the status modulo d, we can get as a generating function. Basically, the function must exist in all such sets that contain generating functions of the presentation in (2).
Now, let us give our attention to investigating the existence of generating functions of the form . Actually, the existence of these functions is again based on the existence of the equality in (1). Because the relators
have been obtained by the meaning of endomorphism on the base matrix ℳ, it is clearly seen that while the first row of ℳ gives the above first composite relator, the second row gives the second one. Thus, by replacing by the array polynomial and by the array polynomial into the above relators, we get the required functions. Notice that although in monoids we are not allowed to apply the inverse element , by the meaning of functions, we can use this inverse element as a fractal of the form .
Notice also that in the light of the above material, for the relator , the generating function will only be the zero function. □
Nevertheless, by considering Theorem 1 and Equation (8), we can also get the following result.
Theorem 5 The presentation defined in (2) has a single generating function
(12)
where ν represents three-ordered variables and , are the eigenvalues of ℳ.
Proof Since, by Theorem 1, the presentation can be represented by a unique characteristic polynomial as in (8), the function obtained from this polynomial should be the unique generating function. However, since this unique function must represent the whole presentation, it should be constructed by all generators of . In other words, the required function should be defined as multi-variable . Hence, by replacing variables by array polynomials as previously, we can get the generating function as given in (12). □
Conjecture 2 By taking into account Theorems 1, 4 and 5, one can investigate whether there exists an equivalence between the generating functions that represent the presentation in (2) as indicated in Figure 2.
By considering Proposition 1, Theorem 2 and Theorem 4, respectively, we further obtain the following corollary.
Theorem 6 Suppose in (2) is an efficient presentation. Then it accepts
as a generating function including the functions defined in Theorem 4, where is defined as in (11) and , are the eigenvalues of ℳ.
Proof By Theorem 4, we have the generating functions and (). However, since is given as an efficient presentation, we also need to add a function related to its efficiency. At this stage, we can think about Theorem 2 which basically says that is efficient if . Moreover, this condition is directly related to the generator x in (cf. [[9], Theorem 2.4]). Therefore this last generating function should be of the form , as required. □
The following corollary is a consequence of Theorem 5 which states that the expression of Theorem 6 can also be given as a single condition.
Corollary 1 Suppose in (2) is an efficient presentation. Then it accepts as a generating function, where ν represents three-ordered variables and , are the eigenvalues of ℳ.
The sketch of proof Since the efficiency of a presentation implies for any prime p or 0, we can take in (12) because, by NFT, the simplest (reduced) form represents all other generating functions . Thus, depending on the constants, the function in the result can be thought to be in the congruence class of all such functions. □
Remark 1 From Corollary 1 and by considering Theorem 1, we can easily deduce that the set of generating functions for an efficient presentation can be presented as a single element. This actually shows the importance of efficiency during the study of generating functions.
In Proposition 2 and also in Theorem 3, we expressed the minimality (while satisfying inefficiency) of the presentation in (4) in two different versions, respectively. As a next step of Theorem 6 and as a consequence of Theorem 4, we will deal with the array polynomials which are obtained from a minimal but inefficient presentation. The following lemma will be needed in the proof of our next result.
Lemma 1 There always exists for any prime p.
Proof We first note that the lemma is clear for . So, let us assume that p is an odd prime.
Suppose that . So, by the meaning of congruence, we must have for a . In fact, the left-hand side of this equality can be written as a binomial sum
In this sum, each term except the last one, which is 1, is congruent to 0 by modulo p since each of them contains p as a factor. Thus, cannot be congruent to 0 by modulo p unless we add −1 to both sides of this congruence. Therefore , as required. □
Theorem 7 For an odd prime p, the minimal but inefficient presentation
has a set of generating functions
where and are defined as in (11).
Proof Let p be an odd prime. We first need to show that in the theorem actually presents a semi-direct product of a free abelian monoid rank two by a finite cyclic monoid as defined in (2). To do that, we just have to ensure that Equation (1) holds.
From , one can easily obtain a diagonal matrix which for eigenvalues and . Moreover, by Lemma 1, we obviously get similarly as the other th powers of entries. Thus we obtain
which implies that actually presents the required semi-direct product. Hence, as indicated in the proof of Theorem 6, we have the generating functions and for (by Theorem 4).
However, again as in the proof of Theorem 6, we need to find a new function (array polynomial) which is related to the minimality (having inefficiency) status of . To do that, we will take into account the same way which was obtaining the function in Theorem 6. From Proposition 1, we know that any semi-direct product presentation is not efficient if the determinant of the base matrix ℳ is equivalent to 0 or by modulo p, and also by Proposition 2, this presentation is minimal (whilst it is efficient) if the prime p is odd and the entries of the main diagonal are and 1 (or vice versa) in the diagonal matrix. It is clear that all these situations are suitable for our case in this proof. Therefore, since we have , there must exist as a generating function.
Hence the result. □
By Theorem 5, one can express Theorem 7 as in the following corollary. In fact, this result is the minimality version of Corollary 1. We will again omit the proof since it is quite clear by taking and in (12).
Corollary 2 Let us consider the minimal but inefficient presentation in Theorem 7. Then it accepts as a generating function, where ν represents three-ordered variables .
Similarly to Corollary 1, the function in the above corollary can be taken as the simplest (reduced) form being in the same congruence class as all other generating functions that represent this minimal presentation.
Remark 2 From Corollary 2 and by considering Theorem 1, we can easily deduce that the set of generating functions for a minimal but inefficient presentation can be presented as a single element. Therefore, as pointed out in Remark 1, this shows the importance of minimality (even holding inefficiency) in the meaning of the study of generating functions.
As a result of Theorem 5 and Corollaries 1, 2, we can state that array polynomials obtained in this paper are congruent to each other and so they construct congruence classes. Since these results are based on the characteristic polynomials, the proof of the following main theorem of this paper can be seen quite similar to the proofs of Proposition 3 and Theorem 1.
Theorem 8 Each array polynomial obtained from the presentation in (2) appears to be a congruence class. Moreover, this presentation is represented by a single type of array polynomials depending on this congruence. This single type may contain a unique congruence class of array polynomials in the case of efficiency or minimality status of .