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Article

An Approach to Multidimensional Discrete Generating Series

by
Svetlana S. Akhtamova
1,
Tom Cuchta
2 and
Alexander P. Lyapin
3,*
1
Lesosibirskij Pedagogical Institute–Branch of Siberian Federal University, 662544 Lesosibirsk, Russia
2
Department of Mathematics and Physics, Marshall University, Huntington, WV 25755, USA
3
School of Mathematics and Computer Science, Siberian Federal University, 660041 Krasnoyarsk, Russia
*
Author to whom correspondence should be addressed.
Mathematics 2024, 12(1), 143; https://doi.org/10.3390/math12010143
Submission received: 2 December 2023 / Revised: 20 December 2023 / Accepted: 28 December 2023 / Published: 1 January 2024

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.

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 [1]. We extend those results to the multidimensional case. We define a discrete generating series for f : Z n C and derive functional relations for such series.
The general theory of linear recurrences with constant coefficients and the Stanley hierarchy [2,3] of its generating functions (rational, algebraic, D-finite) depending on the initial data function was considered in [4]. Difference equations with polynomial coefficients is an effective means to study lattice paths with restriction [5,6]. 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 [7]. 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 [8,9]. Using the notion of amoeba [10] 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 [11]. A generalization to several variables of the classical Poincaré theorem on the asymptotic behavior of solutions of a linear difference equation is presented in [12]. 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 [13].
Let Z denote the non-negative integers, Z n = Z × × Z be the n-dimensional integers, and Z n = Z × × Z for n Z be its non-negative orthant. For any z C and n Z , we define the falling factorial z n ̲ = z ( z 1 ) ( z n + 1 ) with z 0 ̲ = 1 and the Pochhammer symbol (or rising factorial) is defined by ( z ) n = z ( z + 1 ) ( z + n 1 ) with ( z ) 0 = 1 . Throughout, we will use the multidimensional notation for convience of expressions: x = ( x 1 , , x n ) Z n , z = ( z 1 , , z n ) C n , ξ = ( ξ 1 , , ξ n ) C n , ξ x = ξ 1 x 1 ξ n x n , z x ̲ = z 1 x 1 ̲ z n x n ̲ , = ( 1 , , n ) Z n , x ! = x 1 ! x n ! . We also will use x y for x , y Z n componentwise, i.e., that x i y i for all i = 1 , , n .
Given a function f : Z n C , we define the associated multidimensional discrete generating series of f as
F ( ξ ; ; z ) = x Z n f ( x ) ξ x z x ̲ = x 1 = 0 x n = 0 f ( x 1 , , x n ) ξ 1 x 1 ξ n x n z 1 1 x 1 ̲ z n n x n ̲ .
Let p α C [ z ] denote polynomials with complex coefficients. The difference equation under consideration in this work is
α A p α ( x ) f ( x α ) = 0 ,
where set A Z n is finite and there is m A such that for all α A , the inequality α m , which means α j m j , j = 1 , , n , holds. Occasionally we will use an equivalent notation 0 α m , assuming that for some α coefficients, p α ( x ) vanishes and only p m ( x ) 0 . In Section 2, we will particularly consider a homogeneous difference equation with constant coefficients.
The special case where each p α = c α is a constant
α A c α f ( x α ) = 0
arises in a wide class of combinatorial analysis problems [3], for instance, in lattice path problems [4], the theory of digital recursive filters [14], and the wavelet theory [15]. The question about correctness and well-posedness of (2) was considered in [16,17,18].
We equip (1) with initial data on a set named X m , which is used often enough. We introduce the notation Z as X m = Z n m + Z n = x Z n : x m (see Figure 1) and we define the initial data function φ : X m C so that
f ( x ) = φ ( x ) , x X m .
For convenience, we extend φ to the whole of Z n by taking it to be identically zero outside of X m . The Cauchy problem is to find a solution to difference Equation (1) that coincides with φ on X m , i.e., f ( x ) = φ ( x ) , for all x X m .
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
P ( ξ ; ; z ) = 0 α m c α ξ α z α ̲ ρ α .
Also useful is its truncation for τ Z n , defined by the formula
P τ ( ξ ; ; z ) = 0 α m α τ c α ξ α z α ̲ ρ α ,
and the discrete generating series of the initial data for τ X m by
Φ τ ( ξ ; ; z ) = x τ φ ( x ) ξ x z x ̲ .
Let δ j : x x + e j be the forward shift operator for j = 1 , , n with multidimensional notation δ α = δ 1 α 1 δ n α n and define the polynomial difference operator
P ( δ ) = 0 α m c α δ α .
With this notation, Equation (2) is represented compactly as
P ( δ 1 ) f ( x ) = 0 , x m .
The case of generating series x f ( x ) z x and exponential generating series x f ( x ) x ! z x 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 [19]. We will prove analogues of these formulas for the discrete generating series F ( ξ ; ; z ) .
Theorem 1.
The discrete generating series F ( ξ ; ; z ) for the solution to the Cauchy problem for Equation (2) with initial data (3) satisfies the functional equations:
(6) P ( ξ ; ; z ) F ( ξ ; ; z ) = 0 α m c α ξ α z α ̲ ρ α Φ m α ( ξ ; ; z ) (7) = x m P ( δ 1 ) φ ( x ) ξ x z x ̲ (8) = x m P m x ( ξ ; ; z ) φ ( x ) z x ̲ .
Proof. 
By multiplying (2) by ξ x z x ̲ and summing over x m , we obtain
0 = x m 0 α m c α f ( x α ) ξ x z x ̲ = 0 α m c α x m f ( x α ) ξ x z x ̲ .
Now, substituting x with x + α yields
0 = 0 α m c α x m α f ( x ) ξ x + α z ( x + α ) ̲ = 0 α m c α ξ α z α ̲ ρ α x m α f ( x ) ξ x z x ̲ = 0 α m c α ξ α z α ̲ ρ α x 0 f ( x ) ξ x z x ̲ x m α φ ( x ) ξ x z x ̲ = 0 α m c α ξ α z α ̲ ρ α = P ( ξ ; ; z ) x 0 f ( x ) ξ x z x ̲ = F ( ξ ; ; z ) 0 α m c α ξ α z α ̲ ρ α x m α φ ( x ) ξ x z x ̲ = Φ m α ( ξ ; ; z ) .
Thus, by (5), we have established (6). Since
0 α m c α ξ α z α ̲ ρ α x m α φ ( x ) ξ x z x ̲ = 0 α m c α x m α φ ( x ) ξ x + α z ( x + α ) ̲ = 0 α m c α x m φ ( x α ) ξ x z x ̲ = x m 0 α m c α φ ( x α ) = P ( δ 1 ) φ ( x ) ξ x z x ̲ ,
which yields (7). Finally, collecting (6) by φ ( x ) yields
0 α m c α ξ α z α ̲ ρ α x m α φ ( x ) ξ x z x ̲ = x m 0 α m α m x c α ξ α z α ̲ ρ α = P m x ( ξ ; ; z ) φ ( x ) z x ̲ ,
completing the proof of (8). □
For z = ( z 1 , , z n ) , we denote the projection operator π j z = ( z 1 , , z j 1 , 0 , z j + 1 , , z n ) and we introduce the notation
π j F ( ξ ; ; z ) = F ( ξ ; ; π j z ) = x 0 x j = 0 f ( x ) ξ x z x ̲ ,
and we define the combined projection Π = ( 1 π 1 ) ( 1 π n ) as the composition of 1 π j for all j = 1 , , n .
For the next result, we introduce the symbols I = ( 1 , 1 , , 1 ) Z n and the unit vectors e j = ( 0 , , 0 , 1 , 0 , , 0 ) for j = 1 , 2 , , n , which is nonzero only for the jth component. In these two lemmas, we will prove some useful properties of the combined projection Π .
Lemma 1.
The following formula holds:
Π x 0 f ( x ) ξ x z x ̲ = x I f ( x ) ξ x z x ̲ .
Proof. 
First, compute for any j = 1 , 2 , , n ,
( 1 π j ) x 0 f ( x ) ξ x z x ̲ = x 0 f ( x ) ξ x z x ̲ π j x 0 f ( x ) ξ x z x ̲ = x e j f ( x ) ξ x z x ̲ .
Thus, we see that applying Π to x 0 f ( x ) ξ x z x ̲ 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:
Π ξ j z j j ̲ ρ j F ( ξ ; ; z ) = x I f ( x e j ) ξ x z x ̲ .
Proof. 
First, compute
( 1 π j ) ξ j z j j ̲ ρ j F ( ξ ; ; z ) = ξ j z j j ̲ ρ j F ( ξ ; ; z ) π j ξ j z j j ̲ ρ j F ( ξ ; ; z ) = ξ j z j j ̲ ρ j x 0 f ( x ) ξ x z x ̲ = x 0 f ( x ) ξ x + e j z ( x + e j ) ̲ = x e j f ( x e j ) ξ x z x ̲ .
Thus, we see that applying Π to ξ j z j j ̲ ρ j F ( ξ ; ; z ) completes the proof. □
We introduce the inner product
c , ξ z ̲ ρ = c 1 ξ 1 z 1 1 ̲ ρ 1 1 + + c n ξ n z n n ̲ ρ n n
and
c , δ I = c 1 δ 1 1 + + c n δ n 1 .
We are now prepared to prove an analogue of [20], [Theorem 1.1].
Theorem 2.
The following formula holds:
Π ( 1 c , ξ z ̲ ρ ) F ( ξ ; ; z ) = x I ( 1 c , δ I ) f ( x ) ξ x z x ̲ .
Proof. 
Applying Π to ( 1 c , ξ z ̲ ρ ) F ( ξ ; ; z ) yields
Π ( 1 c , ξ z ̲ ρ ) F ( ξ ; ; z ) = Π F ( ξ ; ; z ) c , Π ξ z ̲ ρ F ( ξ ; ; z ) = Π F ( ξ ; ; z ) c 1 Π ξ 1 z 1 1 ̲ ρ 1 1 F ( ξ ; ; z ) c n Π ξ n z n n ̲ ρ n n F ( ξ ; ; z ) = x I f ( x ) ξ x z x ̲ c 1 x I f ( x e 1 ) ξ x z x ̲ c n x I f ( x e n ) ξ x z x ̲ = x I f ( x ) c 1 f ( x e 1 ) c n f ( x e n ) ξ x z x ̲ = x I ( 1 c , δ I ) f ( x ) ξ x z x ̲ ,
thereby completing the proof. □
The following corollary is straightforward.
Corollary 1.
If f solves ( 1 c , δ I ) f ( x ) = 0 , then
Π ( 1 c , ζ ) F ( ξ ; ; z ) = 0 .

3. Discrete Generating Series for Linear Difference Equations with Polynomial Coefficients

We define the componentwise forward difference operators Δ j by
Δ j F ( z ) = F ( z + e j ) F ( z ) , j = 1 , , n .
If z x ̲ = z 1 x 1 ̲ z n x n ̲ , then Δ j z x ̲ = x j z x e j ̲ . Thus, we can regard Δ j as a discrete analogue of a partial derivative operator. Now, compute
Δ j F ( ξ ; ; z ) = Δ j x 0 f ( x ) ξ x z x ̲ = x 0 f ( x ) ξ x Δ j z x ̲ = x 0 j x j f ( x ) ξ x z x e j ̲ .
We denote the componentwise backward jump ρ j by
ρ j F ( z ) = F ( z e j )
and we define the componentwise operators θ j = j 1 z j ρ j Δ j , which generalizes the single-variable one defined earlier in [21,22]. Now, we prove some useful properties of the operator θ k : = θ 1 k θ n k .
Lemma 3.
If k = ( k 1 , , k n ) Z n , then the following formula holds:
θ k F ( ξ ; ; z ) = x 0 x k f ( x ) ξ x z x ̲ .
Proof. 
We obtain:
θ k F ( ξ ; ; z ) = θ 1 k 1 θ n k n F ( ξ ; ; z ) = θ 1 f k 1 θ n 1 k n 1 ( n 1 z n ρ n Δ n ) k n 1 n 1 z n ρ n Δ n F ( ξ ; ; z ) = θ 1 k 1 θ n 1 k n 1 ( n 1 z n ρ n Δ n ) k n 1 n 1 z n ρ n x 0 n x n f ( x ) ξ x z x e n ̲ = θ 1 k 1 θ n 1 k n 1 ( n 1 z n ρ n Δ n ) k n 1 x 0 x n f ( x ) ξ x z x ̲ .
Continuing this process k n 1 times for θ n and in k j times in turn for the powers of θ j , j = 1 , , n 1 completes the proof. □
The proof of the following lemma resembles the proof of Lemma 3 but for the operator p ( θ ) = α A Z n c α θ α , so we omit explicitly writing the proof.
Lemma 4.
The following formula holds:
p ( θ ) F ( ξ ; ; z ) = x 0 p ( x ) f ( x ) ξ x z x ̲ .
We define an operator P A by
P A ( ξ ; ; z ; θ ; ρ ) = α A p α ( θ + α ) ξ α z α ̲ ρ α .
Theorem 3.
The discrete generating series F ( ξ ; ; · ) of the Cauchy problem for Equation (1) with initial data (3) satisfies the functional equation
P A ( ξ ; ; z ; θ ; ρ ) F ( ξ ; ; z ) = α A x m α p α ( x α ) φ ( x ) ξ x z ( x + α ) ̲ .
Proof. 
Similar to the proof of Theorem 1, we multiply (1) by ξ x z x ̲ and sum over x m to obtain
0 = x m α A p α ( x ) f ( x α ) ξ x z x ̲ = α A x m α p α ( x α ) f ( x ) ξ x + α z ( x + α ) ̲ .
Replacing x with x + α then leads to
0 = α A ξ α x 0 p α ( x α ) f ( x ) ξ x z ( x + α ) ̲ x m α p α ( x α ) φ ( x ) ξ x z ( x + α ) ̲
and routine algebraic manipulation completes the proof. □

4. Examples

Example 1.
We will derive the functional equation for the discrete generating series
F ( ; ; z 1 , z 2 ) = F ( ξ 1 , ξ 2 ; 1 , 2 ; z 1 , z 2 )
for the basic combinatorial recurrence
f ( x 1 , x 2 ) f ( x 1 1 , x 2 ) f ( x 1 , x 2 1 ) = 0 .
Multiplying both sides of (14) by ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ and summing over ( x 1 , x 2 ) ( 1 , 1 ) yields
( x 1 , x 2 ) ( 1 , 1 ) f ( x 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ ( x 1 , x 2 ) ( 1 , 1 ) f ( x 1 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ ( x 1 , x 2 ) ( 1 , 1 ) f ( x 1 , x 2 1 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ = 0 .
We consider each sum separately:
( x 1 , x 2 ) ( 1 , 1 ) f ( x 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ A A A A A A A A A = F ( ; ; z 1 , z 2 ) F ( ; ; 0 , z 2 ) F ( ; ; z 1 , 0 ) + F ( ; ; 0 , 0 ) ; ( x 1 , x 2 ) ( 1 , 1 ) f ( x 1 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ A A A A A A A A A = ( x 1 , x 2 ) ( 0 , 1 ) f ( x 1 , x 2 ) ξ 1 x 1 + 1 ξ 2 x 2 z 1 1 ( x 1 + 1 ) ̲ z 2 2 x 2 ̲ = A A A A A A A A A = ξ 1 z 1 1 ̲ ρ 1 1 ( x 1 , x 2 ) ( 0 , 1 ) f ( x 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ A A A A A A A A A = ξ 1 z 1 1 ̲ ρ 1 1 F ( ; ; z 1 , z 2 ) F ( ; ; z 1 , 0 ) ; ( x 1 , x 2 ) ( 1 , 1 ) f ( x 1 , x 2 1 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ A A A A A A A A A = ξ 2 z 2 2 ̲ ρ 2 2 F ( ; ; z 1 , z 2 ) F ( ; ; 0 , z 2 ) .
Finally, we obtain
F ( ; ; z 1 , z 2 ) F ( ; ; 0 , z 2 ) F ( ; ; z 1 , 0 ) + F ( ; ; 0 , 0 ) ξ 1 z 1 1 ̲ ρ 1 1 F ( ; ; z 1 , z 2 ) F ( ; ; z 1 , 0 ) ξ 2 z 2 2 ̲ ρ 2 2 F ( ; ; z 1 , z 2 ) F ( ; ; 0 , z 2 ) = 0 ,
which yields the functional equation on F ( ; ; z 1 , z 2 ) :
( 1 ξ 1 z 1 1 ̲ ρ 1 1 ξ 2 z 2 2 ̲ ρ 2 2 ) F ( ; ; z 1 , z 2 ) ( 1 ξ 2 z 2 2 ̲ ρ 2 2 ) F ( ; ; 0 , z 2 ) ( 1 ξ 1 z 1 1 ̲ ρ 1 1 ) F ( ; ; z 1 , 0 ) + F ( ; ; 0 , 0 ) = 0 .
Example 2.
We consider a difference equation with polynomial coefficients whose solution is a p-recursive series [23]:
f ( x 1 , x 2 ) ( 1 + x 1 x 2 ) f ( x 1 1 , x 2 ) x 2 2 f ( x 1 , x 2 1 ) = 0 .
Multiplying both sides of (15) by ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ and summing over ( x 1 , x 2 ) ( 1 , 1 ) yields
( x 1 , x 2 ) ( 1 , 1 ) f ( x 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ ( x 1 , x 2 ) ( 1 , 1 ) ( 1 + x 1 x 2 ) f ( x 1 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ ( x 1 , x 2 ) ( 1 , 1 ) x 2 2 f ( x 1 , x 2 1 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ = 0 .
The first sum is the same as in the previous example. We consider the second and third sum separately:
( x 1 , x 2 ) ( 1 , 1 ) ( 1 + x 1 x 2 ) f ( x 1 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ A A A A A A A A A = ( x 1 , x 2 ) ( 0 , 1 ) ( 1 + ( x 1 + 1 ) x 2 ) f ( x 1 , x 2 ) ξ 1 x 1 + 1 ξ 2 x 2 z 1 1 ( x 1 + 1 ) ̲ z 2 2 x 2 ̲ A A A A A A A A A = ( 1 + ( θ 1 + 1 ) θ 2 ) ξ 1 z 1 1 ̲ ρ 1 1 ( x 1 , x 2 ) ( 0 , 1 ) f ( x 1 , x 2 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ A A A A A A A A A = ( 1 + ( θ 1 + 1 ) θ 2 ) ξ 1 z 1 1 ̲ ρ 1 1 F ( ; ; z 1 , z 2 ) F ( ; ; z 1 , 0 ) ; ( x 1 , x 2 ) ( 1 , 1 ) x 2 2 f ( x 1 , x 2 1 ) ξ 1 x 1 ξ 2 x 2 z 1 1 x 1 ̲ z 2 2 x 2 ̲ A A A A A A A A A = ( θ 2 + 1 ) 2 ξ 2 z 2 2 ̲ ρ 2 2 F ( ; ; z 1 , z 2 ) F ( ; ; 0 , z 2 ) ,
which yields the functional equation
( 1 ( 1 + θ 1 θ 2 + θ 2 ) ξ 1 z 1 1 ̲ ρ 1 1 ( θ 2 + 1 ) 2 ξ 2 z 2 2 ̲ ρ 2 2 ) F ( ; ; z 1 , z 2 ) ( 1 ( 1 + θ 1 θ 2 + θ 2 ) ξ 1 z 1 1 ̲ ρ 1 1 ) F ( ; ; 0 , z 2 )             1 ( θ 2 + 1 ) 2 ξ 2 z 2 2 ̲ ρ 2 2 F ( ; ; z 1 , 0 ) + F ( ; ; 0 , 0 ) = 0 .

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 [24]. The falling factorial functions here are called generalized h k 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 [25]. 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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Figure 1. Illustration of the sets x m , x m , and x m .
Figure 1. Illustration of the sets x m , x m , and x m .
Mathematics 12 00143 g001
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Akhtamova, S.S.; Cuchta, T.; Lyapin, A.P. An Approach to Multidimensional Discrete Generating Series. Mathematics 2024, 12, 143. https://doi.org/10.3390/math12010143

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Akhtamova SS, Cuchta T, Lyapin AP. An Approach to Multidimensional Discrete Generating Series. Mathematics. 2024; 12(1):143. https://doi.org/10.3390/math12010143

Chicago/Turabian Style

Akhtamova, Svetlana S., Tom Cuchta, and Alexander P. Lyapin. 2024. "An Approach to Multidimensional Discrete Generating Series" Mathematics 12, no. 1: 143. https://doi.org/10.3390/math12010143

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