Abstract
We extend existing functional relationships for the discrete generating series associated with a single-variable linear polynomial coefficient difference equation to the multivariable case.
Keywords:
forward difference operator; difference equation; generating series; shift operator; characteristic polynomial; Cauchy problem MSC:
05A15; 39A05; 39A06
1. Introduction
An approach to build the general theory of a discrete generating series of one variable and its connection with the linear difference equations was introduced in []. We extend those results to the multidimensional case. We define a discrete generating series for and derive functional relations for such series.
The general theory of linear recurrences with constant coefficients and the Stanley hierarchy [,] of its generating functions (rational, algebraic, D-finite) depending on the initial data function was considered in []. Difference equations with polynomial coefficients is an effective means to study lattice paths with restriction [,]. Some properties of linear difference operators whose coefficients have the form of infinite two-sided sequences over a field of characteristic zero are considered in []. An effective method of obtaining explicit formulas for the coefficients of a generating function related to the Aztec diamond and a generating function related to the permutations with cycles was derived in [,]. Using the notion of amoeba [] of the characteristic polynomial of a difference equation, a description for the solution space of a multidimensional difference equation with constant coefficients was obtained in []. A generalization to several variables of the classical Poincaré theorem on the asymptotic behavior of solutions of a linear difference equation is presented in []. We can also note that the almost periodic and the almost automorphic solutions to the difference equations depending on several variables are not well explored in the existing literature [].
Let denote the non-negative integers, be the n-dimensional integers, and for be its non-negative orthant. For any and , we define the falling factorial with and the Pochhammer symbol (or rising factorial) is defined by with . Throughout, we will use the multidimensional notation for convience of expressions: , , , , , , . We also will use for componentwise, i.e., that for all .
Given a function , we define the associated multidimensional discrete generating series of f as
Let denote polynomials with complex coefficients. The difference equation under consideration in this work is
where set is finite and there is such that for all , the inequality which means holds. Occasionally we will use an equivalent notation , assuming that for some coefficients, vanishes and only . In Section 2, we will particularly consider a homogeneous difference equation with constant coefficients.
The special case where each is a constant
arises in a wide class of combinatorial analysis problems [], for instance, in lattice path problems [], the theory of digital recursive filters [], and the wavelet theory []. The question about correctness and well-posedness of (2) was considered in [,,].
We equip (1) with initial data on a set named , which is used often enough. We introduce the notation as (see Figure 1) and we define the initial data function so that

Figure 1.
Illustration of the sets , , and .
For convenience, we extend to the whole of by taking it to be identically zero outside of . The Cauchy problem is to find a solution to difference Equation (1) that coincides with on , i.e., , for all .
In Section 2, functional equations for the discrete generating series are derived for the solution of the difference equations with constant coefficients. In Section 3, a case of difference equations with polynomial coefficients is considered. Section 4 contains two examples that illustrate our approach to discrete generating series.
2. Discrete Generating Series for Linear Difference Equations with Constant Coefficients
In this section, we consider a homogeneous difference equation with constant coefficients (2) and introduce the shift operator by
Also useful is its truncation for , defined by the formula
and the discrete generating series of the initial data for by
Let be the forward shift operator for with multidimensional notation and define the polynomial difference operator
With this notation, Equation (2) is represented compactly as
The case of generating series and exponential generating series is well-studied for both one and several variables: one of the first convenient formulas to derive the generating series exploiting the characteristic polynomial and the initial data function was proven in []. We will prove analogues of these formulas for the discrete generating series .
Theorem 1.
Proof.
By multiplying (2) by and summing over , we obtain
Now, substituting x with yields
For , we denote the projection operator and we introduce the notation
and we define the combined projection as the composition of for all .
For the next result, we introduce the symbols and the unit vectors for , which is nonzero only for the jth component. In these two lemmas, we will prove some useful properties of the combined projection .
Lemma 1.
The following formula holds:
Proof.
First, compute for any ,
Thus, we see that applying to yields the desired result. □
We now obtain a similar result as Lemma 1 but for a shifted discrete generating series.
Lemma 2.
The following formula holds:
Proof.
First, compute
Thus, we see that applying to completes the proof. □
We introduce the inner product
and
We are now prepared to prove an analogue of [], [Theorem 1.1].
Theorem 2.
The following formula holds:
Proof.
Applying to yields
thereby completing the proof. □
The following corollary is straightforward.
Corollary 1.
If f solves , then
3. Discrete Generating Series for Linear Difference Equations with Polynomial Coefficients
We define the componentwise forward difference operators by
If , then . Thus, we can regard as a discrete analogue of a partial derivative operator. Now, compute
We denote the componentwise backward jump by
and we define the componentwise operators , which generalizes the single-variable one defined earlier in [,]. Now, we prove some useful properties of the operator .
Lemma 3.
If , then the following formula holds:
Proof.
We obtain:
Continuing this process times for and in times in turn for the powers of , completes the proof. □
The proof of the following lemma resembles the proof of Lemma 3 but for the operator , so we omit explicitly writing the proof.
Lemma 4.
The following formula holds:
We define an operator by
Theorem 3.
Proof.
Similar to the proof of Theorem 1, we multiply (1) by and sum over to obtain
Replacing x with then leads to
and routine algebraic manipulation completes the proof. □
4. Examples
Example 1.
We will derive the functional equation for the discrete generating series
for the basic combinatorial recurrence
Multiplying both sides of (14) by and summing over yields
We consider each sum separately:
Finally, we obtain
which yields the functional equation on :
Example 2.
We consider a difference equation with polynomial coefficients whose solution is a p-recursive series []:
Multiplying both sides of (15) by and summing over yields
The first sum is the same as in the previous example. We consider the second and third sum separately:
which yields the functional equation
5. Conclusions
We have initiated the theory of discrete generating series for multidimensional polynomial coefficient difference equations. We introduced a multidimensional polynomial shift operator and established three functional equations that these new discrete generating series obey, revealing some of their structural properties. A strong direction for future research is to generalize to the time scales calculus []. The falling factorial functions here are called generalized polynomials in time scales. This suggests some directions for the time scales analogue of this research, which was arguably anticipated with the definition of a moment-generating series for distributions in []. One particularly interesting question is what the proper analogue of (1) is for an arbitrary time scale, and perhaps analysis from a generating series perspective would reveal new insights to this problem.
Author Contributions
Conceptualization: T.C. and A.P.L.; methodology: S.S.A. and T.C.; validation: S.S.A.; investigation: A.P.L.; writing—original draft: A.P.L.; writing—review and editing: T.C.; project administration: A.P.L. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported by the Krasnoyarsk Mathematical Center and financed by the Ministry of Science and Higher Education of the Russian Federation (Agreement No. 075-02-2023-936).
Data Availability Statement
Data were created or analyzed in this study.
Conflicts of Interest
The authors declare no conflict of interest.
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