Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) Generalized q-Mittag-Leffler Matrix Function and its Properties Cynthia V. Rodrigues1,2 and Bharti V. Nathwani2,* 1Mukesh Patel School of Technology Management & Engineering, SVKM’s NMIMS, Mumbai - 400056, Maharashtra, India 2Amity School of Applied Sciences,Amity University Maharashtra, Mumbai, Panvel - 410206, Maharashtra, India *Corresponding Author Article History: Received: 13-11-2024 Revised: 25-12-2024 Accepted: 09-01-2025 Abstract: Motivated essentially by the success of the appli- cations of the Mittag-Leffler functions and Matrix theory in Science and Engineering, we propose here a unification of cer- tain q-extensions of generalizations of Mittag-Leffler function together with Saxena-Nishimoto’s function, Bessel-Maitland function, Dotsenko function, Elliptic Function, etc. We obtain Mellin-Barnes contour integral representation, q-difference equation and eigen function property. Keywords: Mittag-Leffler Matrix function, q-Mittag-Leffler function, q-difference equation, Eigen function 1. Preliminaries Let the spectrum of a matrix in Cr×r, denoted by σ (A), be the set of all eigenvalues of A. Recall that a matrix A ∈ Cr×r is said to be positive stable when β (A) = min {A (z) /z ∈ σ (A)} > 0 (1.1) For a positive stable matrix A ∈ Cr×r, the q-gamma matrix function is defined by [10, Eq.(3.13)] Γq (A) = 1 1−q∫ 0 tA−IE−qt q dt (1.2) and the reciprocal q-gamma matrix function is defined as [10, Eq.(3.20)] Γ−1 q (A) = [A]q [A+ I]q . . . . . . [A+ (n− 1) I]q Γq −1 (A+ nI) , n ≥ 1 (1.3) https://internationalpubls.com 329 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) If A and B are positive stable matrices in Cr×r then the q-beta matrix function is defined as [10, Eq.(4.5)] Bq (A,B) = 1∫ 0 (tq; q)∞ ( tqB; q )−1 ∞ tA−I dqt (1.4) Furthermore, if A,B and A+B are positive stable matrices in Cr×rsuch that AB = BA then the beta matrix function is defined as [10, Eq.(4.6)] Bq (A,B) = Γq (A) Γq (B) Γ−1 q (A+B) (1.5) 2. Introduction A generalized structure of the Mittag-Leffler matrix function is given by [11, Eq.(2.9)]: EA,B,C αI,δI,µI (λz; s, r) = ∞∑ n=0 [(A)δn] s Γ−1 (αnI +B) [ (C)µn ]−r (λz)n n! (2.1) where A,B,C are positive stable matrices in Cp×p, α, λ, z ∈ C with ℜ(α) > 0, δ, µ > 0, r ∈ {−1, 0} ∪ N and s ∈ {0} ∪ N. Interestingly, the proposed function ((2.13) below) also enables us to define and include the q-analogues of (i) Bessel-Maitland matrix function [11] : JµI νI (z) = ∞∑ n=0 (−1)n Γ−1(νI + nµI + I) zn n! , (ii) Dotsenko matrix function [11] : 2R1(aI, bI; cI, ωI; ν; z) = ∞∑ n=0 Γ(aI + nI)Γ−1(aI) Γ(bI + n ω ν I)Γ−1(bI) Γ(cI) Γ−1(cI + n ω ν I) zn n! , (iii) Saxena and Nishimoto’s matrix function [11]: EγI,K [(αjI, Bj)1,2; z] = ∞∑ n=0 (γI)KnΓ −1(α1nI +B1)Γ −1(α2nI +B2) zn n! , where z, γ, αj, βj ∈ C,ℜ(α1 + α2) > ℜ(K)− 1,ℜ(K) > 0, and (iv) the Elliptic matrix function [11] : K(I; k) = π 2 2F1 ( 1 2 I, 1 2 I; k2 I; ) . https://internationalpubls.com 330 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) The following definitions and formulas will be used in this work. For A ∈ Cr×r and q ̸= 1, qA = eA log q then the q-shifted factorial matrix function is defined by [10] (A; q)n = { I if n = 0 (I − A)(I − Aq)...(I − Aqn−1) if n ∈ N. (2.2) For any n, (A; q)n = (q; q)∞(Aqn; q)−1 ∞ , where (A; q)∞ = ∞∏ k=0 (I − Aqk) , |q| < 1. (A; q)−1 ∞ = ∞∏ k=0 (I − Aqk)−1 , ||A|| < 1, |q| < 1. A q-binomial coefficient is (cf. [2, Ex.(1.2), p.20] with r = 1):[ n m ] r = (qr; qr)n (qr; qr)n−m (qr; qr)m , r ̸= 0. (2.3) A q-gamma function is defined as [10, Eq.(3.18)]: Γq(A) = (q; q)∞ (qA; q) −1 ∞ ; (1− q)I−A, (2.4) q−n /∈ σ ( qA ) , n = 0, 1, 2, · · · For A ∈ Cr×r the q-analogue of Legendre’s duplication formula is of the form [10, Eq.(3.23)] Γq (2A) Γq2 ( 1 2 ) = Γq2 (A) Γq2 ( A+ 1 2 I ) (1 + q)2A−I (2.5) where q−n /∈ σ ( q2A ) , q−2n /∈ σ ( q2A ) , q−2n /∈ σ ( qA+I/2 ) , n = 1, 2, · · · In view of [3, Eq.(6)], we can propose the the following theorem for matrix function. Theorem 2.1. If f(z) = ∞∑ n=0 Vnz n is an entire function then the order ϱ(f) of f is given by ϱ(f) = lim n→∞ supn log n log(∥Vn∥)−1. (2.6) and the type of the function σ is given by [3] eϱσ = lim n→∞ sup ( n ∥Vn∥ϱ/n ) . (2.7) https://internationalpubls.com 331 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) For every positive ϵ, the asymptotic estimate [3, Eq.(8)] |f(z)| < exp ((σ + ϵ) |z|ϱ) , |z| ≥ r0 > 0 (2.8) holds with ϱ, σ as in (2.6), (2.7) for |z| ≥ r0(ϵ), r0(ϵ) sufficiently large. For any complex square matrix A and |q| < 1 the q-analogues of the exponential matrix functions are defined as [10, Eq.(3.11)] eq(A) = ∞∑ n=0 An (q; q)n = ((1− q)A; q)−1 ∞ , (2.9) and [10, Eq.(3.10)] Eq(A) = ∞∑ n=0 qn(n−1)/2 An (q; q)n = (−(1− q)A; q)∞, (2.10) Let A ∈ Cr×r be a positive stable matrix then the q-beta matrix function is defined as [10, Eq.(4.5)] Bq(A,B) = ∫ 1 0 (tq; q)∞ (tqB; q)−1 ∞ tA−Idqt, (2.11) The q-derivative of a function f(x) is defined by [2, Ex.1.12, p.22] Dqf(A) = [f(A)− f(Aq)][A(1− q)]−1. (2.12) In view of two q-analogues of generalized Mittag-Leffler function [3, 4], we define q- generalized Mittag-Leffler matrix functions in the form: Definition 1. Let A,B,C be positive stable matrices in Cr×r , α, δ, µ ∈ C with ℜ(α) > 0, δ, µ > 0, r ∈ {−1, 0} ∪ N, s ∈ N ∪ {0} then EA,B,C αI, δI, µI(λz; s, r|q) = ∞∑ n=0 (−1)pnI qpn(n−1)I/2 [Γq(δnI + A)]s × [Γq(αnI +B)]−1 [Γq(µnI + C)]−r (λz)n (q; q)n , (2.13) where p = α2 + rµ2 − sδ2 + 1 with ℜ(p) > 0. Definition 2. Let A,B,C be positive stable matrices in Cr×r , α, δ, µ ∈ C with ℜ(α) > 0, δ, µ > 0, r ∈ {−1, 0} ∪ N, s ∈ N ∪ {0} and (α2 + rµ2 + 1)I = sδ2I then eA,B,C αI, δI, µI(λz; s, r|q) = ∞∑ n=0 [Γq(δnI + A)]s [Γq(αnI +B)]−1 ×[Γq(µnI + C)]−r (λz)n (q; q)n . (2.14) Alternatively in view of the definition of q-Gamma function (2.4) these q-forms can also be put in the form: EA,B,C αI, δI, µI(λz; s, r|q) = ∞∑ n=0 (−1)pnI qpn(n−1)I/2 (qαnI+B; q)∞ ×[(qµnI+C ; q)∞]r [(qδnI+A; q)∞]−s (λz)n (q; q)n , (2.15) https://internationalpubls.com 332 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) and eA,B,C αI, δI, µI(λz; s, r|q) = ∞∑ n=0 [ (qαnI+B; q)∞ ] [(qµnI+C ; q)∞]r ×[(qδnI+A; q)∞]−s (λz)n (q; q)n . (2.16) We shall refer to these functions as q-gmlm. The objective of constructing this function is to (i) include certain existing generalizations of Mittag-Leffler matrix function [3, 11, 4, 7, 8, 9, 5, 6], (ii) also include the matrix functions such as Bessel Maitland function, Dotsenko function, Bessel function, generalized Bessel Maitland function, Lommel function etc. especially by means of parameters r, γ, λ (Table-1 below) (iii) obtain inverse inequality relations and some other inequalities by means of the inte- ger ′s′. The q-analogues of the above stated Shukla and Prajapati’s function (2.1) and those functions listed above from (i) through (iv) are all yielded by the q-gmlm (2.13) or (2.14). They are tabulated below together with the indicated substitutions. Table-1 q-Function of r s α B A δ C µ Particular case of Mittag-Leffler 0 1 α 1 1 1 - - (2.13) Wiman 0 1 α B 1 1 - - (2.13) Prabhakar 0 1 α B γI 1 - - (2.13) Shukla and 0 1 α B γI q - - (2.13) Prajapati Bessel-Maitland 0 0 µ (ν + 1)I - - - - (2.13) Dotsenko -1 1 ω/ν cI a I bI ω/ν (2.14) Saxena- 1 1 α1 B1 γI K B2 α2 (2.13) Nishimoto Elliptic -1 1 1 I 1 2 I 1 1 2 I 1 (2.14) The explicit forms of the functions mentioned in this table are as stated below. • q-Mittag-Leffler function: EαI(λz|q) = ∞∑ n=0 [ (−1)n qn(n−1)/2 ]α2I (qαnI+I ; q)∞ (λz)n. • q-Analogue of Wiman’s function: EB αI(λz|q) = ∞∑ n=0 [ (−1)n qn(n−1)/2 ]α2I (qαnI+B; q)∞ (λz)n. https://internationalpubls.com 333 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) • q-Analogue of Prabhakar’s generalized ML-function: EA,B αI (λz|q) = ∞∑ n=0 [ (−1)n qn(n−1)/2 ]α2I (qαnI+B; q)∞ × [ (qA+nI ; q)∞ ]−1 (λz)n (q; q)n . • q-ML-function of Shukla and Prajapati (q is replaced by δ): EA,B αI,δI(λz|q) = ∞∑ n=0 [ (−1)n qn(n−1)/2 ](α2− δ2+1)I (qαnI+B; q)∞. ×(qA+δnI ; q)∞ −1 (λz)n (q; q)n • q-Bessel-Maitland function: Jµ νII(−z; q) = ∞∑ n=0 [ (−1)n qn(n−1)/2 ](µ2+1)I (qµnI+νI+I ; q)∞ (q; q)n zn. • q-Dotsenko function: 2R1(aI, bI; cI, ω; ν; z; q) = ∞∑ n=0 (qcI+ ω ν nI ; q)∞ [ (qbI+ ω ν nI ; q)∞ ]−1 × [ (qnI+aI ; q)∞ ]−1 zn (q; q)n . • q-Form of the particular case m = 2 of the function due to Saxena and Nishimoto EγI,K [(αjI, Bj)1,2; z|q] = ∞∑ n=0 [ (−1)n qn(n−1)/2 ](α2 1+α2 2−K2+1)I ×(qα1nI+B1 ; q)∞ (qα2nI+B2 ; q)∞ × [ (qγI+Kn; q)∞ ]−1 zn (q; q)n . • q-Elliptic function: K( √ z|q) = π 2 2ϕ1 ( 1 2 I, 1 2 I; z I; ) . We first show the convergence of series in (2.13) and (2.14); this is followed by Mellin- Barnes integral representation, q-difference equation and eigen function property. 3. Main Results In this section, we prove the following results. https://internationalpubls.com 334 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) 3.1 Convergence Theorem 3.1. Let A,B,C be positive stable matrices in Cp×p , α, δ, µ ∈ C with ℜ(α) > 0, ℜ(α2) + rµ2 − sδ2 + 1 > 0, δ, µ > 0, r ∈ {−1, 0} ∪ N, s ∈ N ∪ {0} and 0 < q < 1. Then EA,B,C αI, δI, µI(λz; s, r|q) is an entire function of order zero. Proof. Put Vn = (−1)pnI qpn(n−1)I/2 [Γq(δnI + A)]s Γq −1(αnI +B)[Γq −1(µnI + C)]r × 1 (q; q)n (3.1) to get EA,B,C αI, δI, µI(λz; s, r|q) = ∞∑ n=0 Vn (λz)n. Then in view of (2.4) and applying norm, we get after some simplification, n √ ∥Vn∥ ∼ ∥∥∥∥∥(−1)pI qp(n−1)I/2 ×(1− q)s(I−A)−r(I−C)−(I−B)/n (1− q)(−sδ+rµ+α)I × [ ∞∏ h=0 ( I − qδnI+A+hI )]s [ ∞∏ m=0 ( I − qαnI+B+mI )] × [ ∞∏ j=0 ( I − qµnI+C+jI )]−r 1 (q; q)n ∥∥∥∥∥ Now by applying limn → ∞, we get 1 R = lim n→∞ n √ ∥Vn∥ ∼ 0 when |q| < 1, ℜ(α2) + rµ2 − sδ2 + 1 > 0. Thus, the function (2.13) is an entire function. Its order may be determined by using Theorem 2.1. In fact, by choosing f(z) = EA,B,C αI, δI, µI(λz; s, r|q) and un = Vn, Theorem 2.1 gets particu- larized to ϱ(EA,B,C αI, δI, µI(λz; s, r|q)) = lim n→∞ sup n log n log(∥Vn∥−1) , where log ( ∥Vn∥−1 ) = log (∥∥∥∥∥Γq(αnI +B) [Γq(µnI + C)]r Γq(n+ 1) ×q−n(n−1)(α2+rµ2−sδ2+1)I/2 [Γq(δnI + A)]−s ∥∥∥∥∥ ) = log ∥Γq(αnI +B)∥+ r log ∥Γq(µnI + C)∥ + log |Γq(n+ 1)| − 1 2 n(n− 1) [ ℜ(α2 + rµ2 − sδ2 + 1)∥I∥ ] log q −s log ∥Γq(δnI + A)∥. (3.2) https://internationalpubls.com 335 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) From the definition (2.4) of q-gamma function, one finds log ∥Γq(αnI +B)∥ = log ∥∥∥(q; q)∞[(qαnI+B; q)∞ ]−1 (1− q)I−αnI−B ∥∥∥ = log ∥∥∥(q; q)∞ [(qαnI+B; q)∞ ]−1 (1− q)I−αnI−B ∥∥∥ = log |(q; q)∞|+ ∥I − αI −B∥ log |(1− q)| − log ∥∥(qαnI+B; q)∞ ∥∥ ; (3.3) in which log ∥∥(qαnI+B; q)∞ ∥∥ = log ( ∞∏ k=0 ∥∥I − qαnI+B+k ∥∥) = log ( lim m→∞ m∏ k=0 ∥∥I − qαnI+B+k ∥∥) = lim m→∞ m∑ k=0 log ∥∥I − qαnI+B+k ∥∥ = ∞∑ k=0 log ∥∥I − qαnI+B+k ∥∥ . Here it may be noted that [1, p.207] log ∥∥I − qαnI+B+k ∥∥ ≤ 1− ∥qαnI+B∥ |q|k which leads us to ∞∑ k=0 log ∥∥I − qαnI+B+k ∥∥ ≤ ∥qαnI+B∥ ∞∑ k=0 |q|k = ∥qαnI+B∥ 1− |q| . This implies that lim n→∞ log ∥∥(qαnI+B; q)∞ ∥∥ n log n = 0. Consequently from (3.3), it follows that lim n→∞ log ∥Γq(αnI +B)∥ n log n = 0. This last limit and the trivial limit lim n→∞ n− 1 log n = ∞ when used in (3.2), yields lim n→∞ log (∥Vn∥)−1 n log n = ∞. Thus, ϱ(EA,B,C αI, δI, µI(λz; s, r|q)) = 0. https://internationalpubls.com 336 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) Theorem 3.2. The function eA,B,C αI, δI, µI(λz; s, r|q) represents the series which converges absolutely for |z| < ∣∣(1− q)(sδ−α−rµ−1) ∣∣ and |q| < 1. Proof. Take Un = [Γq(γ + δn)]s [Γq(β + αn)]−1 [Γq(λ+ µn)]−r [Γq(n+ 1)] (3.4) then eγ,δα, β, λ, µ(z; s, r|q) = ∞∑ n=0 Un zn. Now in view of (2.4), we get n √ ∥Un∥ ∼ ∥∥(1− q)(sδ−ℜ(α)−rµ)I−1 ∥∥ whence 1 R = lim n→∞ n √ |Un| ∼ ∣∣(1− q)α+rµ−sδ+1 ∣∣ . Thus, the series in (2.14) converges absolutely if |z| < R = (1− q)sδ−ℜ(α)−rµ−1. 3.2 Contour integral Theorem 3.3. Let A,B,C be positive stable matrices in Cp×p , α, δ, µ ∈ C with ℜ(α) > 0, ℜ(α2)+rµ2−sδ2+1 > 0, δ, µ > 0, r ∈ {−1, 0}∪N, s ∈ N∪{0} and 0 < q < 1. Then the function EA,B,C αI, δI, µI(λz; s, r|q) is expressible as the Mellin - Barnes q-integral given by EA,B,C αI, δI, µI(λz; s, r|q) = 1 2πi ∫ L (−1)−pSq−pS(−S−1)/2 Γq(S) [Γq(A− δIS)]s ×[Γq(B − αIS)] [Γq(C − µIS)]−r (−z)−S dqS, (3.5) where |argz| < π. The contour L of integration begins from −i∞ and proceeds towards +i∞, and is indented to keep the poles of integrand at S = −nI to the left; and the poles at S = (A+ nI)/δ to the right of the path for all n ∈ N ∪ {0}. Proof. The integral on the right hand side of (3.5) may be evaluated as the sum of the residues at the poles S = 0,−1,−2, . . . . In fact, in view of the definition of residue, I = 1 2πi ∫ L (−1)−pS q−pS(−S−1)/2 Γq(S) [Γq(A− δIS)]s (−z)−S ×[Γq(B − αIS)] [Γq(C − µIS)]−r dqS = ∞∑ n=0 Res S = −n [ (−1)−pS q−pS(−S−1)/2 Γq(S) (−z)−S [Γq(B − αIS)]−1 https://internationalpubls.com 337 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) ×[Γq(C − µIS)]−r [Γq(A− δIS)]s ] = ∞∑ n=0 lim S→−n π(S + n) sinπS (−1)−pS q−pS(−S−1)/2 [Γq(A− δIS)]s (−z)−S ×[Γq(B − αIS)]−1 [Γq(C − µIS)]−r [Γq(1− S)]−1 = ∞∑ n=0 (−1)pn qpn(n−1)/2 [Γq(A+ δIn)]s [Γq(B + αIn)]−1 [Γq(C + µIn)]−r × zn Γq(n+ 1) = EA,B,C αI, δI, µI(λz; s, r|q). Theorem 3.4. Let A,B,C be positive stable matrices in Cr×r , α, δ, µ ∈ C with ℜ(α) > 0, δ, µ > 0, r ∈ {−1, 0} ∪ N, s ∈ N ∪ {0} and (α2 + rµ2 + 1)I = sδ2I, 0 < q < 1. Then the function eA,B,C αI, δI, µI(λz; s, r|q) is expressible as the Mellin - Barnes q-integral given by eA,B,C αI, δI, µI(λz; s, r|q) = 1 2πi ∫ L Γq(S) [Γq(A− δIS)]s (−z)−S ×[Γq(B − αIS)]−1 [Γq(C − µIS)]−rdqS, (3.6) where |argz| < π; the contour L of integration begins from −i∞ and proceeds towards +i∞, and is indented to keep the poles of integrand at S = −nI to the left; and the poles at S = (A+ nI)/δ to the right of the path, for all n ∈ N ∪ {0}. 3.3 Difference equation With the aid of the following operators, the difference equations of both q-analogues will be derived. Put Λqf(A) = f(A)− f(Aq−1), Θf(A) = f(A)− f(Aq), (3.7) Dq f(A) = (1− q) Dqf(A) := (1− q) [f(A)− f(Aq)](A− Aq)−1 = [f(A)− f(Aq)](A)−1, (3.8) { a−1∏ u=0 a−1∏ v=0 [ΘI + c−uqI−(B+vI)/a − I]m }{ a−1∏ u=0 a−1∏ v=0 [c−uqI−(B+vI)/a]m }−1 = Φ(a,B,c;m) u,v (3.9) and { a−1∏ u=0 a−1∏ v=0 [ΘI + c−uq(B+vI)/a − I]m }{ a−1∏ u=0 a−1∏ v=0 [c−uq−(B+vI)/a]m }−1 = Ψ(a,B,c;m) u,v . (3.10) https://internationalpubls.com 338 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) In these notations, the q-difference equation satisfied by (2.13) is derived in the following theorem. Theorem 3.5. Let α, µ, δ ∈ N, then EA,B,C αI, δI, µI(λz; s, r|q) satisfies the equation[ Φ (µ,C,η;r) ℓ,k Φ (α,B,σ;1) h,m Θ ] EA,B,C αI, δI, µI(λz; s, r|q) − [ (−1)p z Ψ (δ,A,ζ;s) j,i ] EA,B,C αI, δI, µI(λzq p; s, r|q) = 0 (3.11) in which ζ is δth root of unity, η is µth root of unity, σ is αth root of unity. Proof. In the first place, the coefficient of zn in the series representation ofEA,B,C αI, δI, µI(λz; s, r|q) will be expressed in q-factorial notation with the help of the set of formulas [2, Appendix I]: (A; q)kn = (A,Aq, . . . , Aqk−1; qk)n, (Ak; qk)n = (A,Aωk, . . . , Aω k−1 k ; qk)n ;ωk = e(2πi)/k, (A; qn)νk = (A1/n; q)νk (A 1/nω; q)νk . . . (A 1/nωn−1; q)νk, ωn = 1, and (qA; qδ)n = (qA/δ; q)n (ϖqA/δ; q)n . . . (ϖ δ−1qA/δ; q)n = δ−1∏ i=0 (ϖiqA/δ; q)n, ϖδ = 1. Then following the notation used in (3.1) for the coefficient of zn, we get Vn = (−1)pn qpn(n−1)/2 [(qA; q)δn] s[(qC ; q)µn] −r [(qB; q)αn] −1 1 (q; q)n = (−1)pn qpn(n−1)/2 [(qA; qδ)n] s [(qA+I ; qδ)n] s · · · [(qA+δI−I ; qδ)n] s ×[(qC ; qµ)n] −r [(qC+I ; qµ)n] −r · · · [(qC+µI−I ; qµ)n] −r ×[(qB; qα)n] −1 [(qB+I ; qα)n] −1 · · · [(qB+αI−I ; qα)n] −1 1 (q; q)n = (−1)pn qpn(n−1)/2 { δ−1∏ j=0 δ−1∏ i=0 [(ζj q(A+iI)/δ; q)n] s } × { µ−1∏ ℓ=0 µ−1∏ k=0 [(ηℓ q(C+kI)/µ; q)n] −r } × { α−1∏ h=0 α−1∏ m=0 [(σh q(B+mI)/α; q)n] −1 } 1 (q; q)n , (3.12) where ζ is δth root of unity, η is µth root of unity, σ is αth root of unity. Now take δ−1∏ j=0 δ−1∏ i=0 [(ζj q(A+iI)/δ; q)n] s = An, µ−1∏ ℓ=0 µ−1∏ k=0 [(ηℓ q(C+kI)/µ; q)n] r = Bn, (3.13) and α−1∏ h=0 α−1∏ m=0 (σh q(B+mI)/α; q)n = Cn, (−1)pn qpn(n−1)/2 = Dn (3.14) https://internationalpubls.com 339 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) then ∞∑ n=0 Vn zn = ∞∑ n=0 An Dn B−1 n C−1 n zn (q; q)n = W, say. Since the series in (2.13) converges, we have ΘW = ∞∑ n=0 An Dn B−1 n C−1 n 1 (q; q)n Θzn = ∞∑ n=0 An Dn B−1 n C−1 n 1− qn (q; q)n zn = ∞∑ n=1 An Dn B−1 n C−1 n zn (q; q)n−1 . Next operating by Φ (α,B,σ;1) h,m , we get Φ (α,B,σ;1) h,m ΘI W = ∞∑ n=1 An Dn B−1 n C−1 n 1 (q; q)n−1 × { α−1∏ h=0 α−1∏ m=0 (ΘI + σ−hqI−(B+mI)/α − I) } × { α−1∏ h=0 α−1∏ m=0 (σ−hqI−(B+mI)/α) }−1 zn = ∞∑ n=1 An Dn B−1 n C−1 n 1 (q; q)n−1 × { α−1∏ h=0 α−1∏ m=0 (I − σhq(n−1)I+(B+mI)/α) } × { α−1∏ h=0 α−1∏ m=0 (σhq(B+mI)/α) }−1 zn = ∞∑ n=1 An Dn B−1 n C−1 n 1 (q; q)n−1 Cn C−1 n−1 zn = ∞∑ n=1 An Dn B−1 n C−1 n−1 zn (q; q)n−1 Finally, Φ (µ,C,η;r) ℓ,k Φ (α,B,σ;1) h,m ΘI W = ∞∑ n=1 An Dn C−1 n−1 B−1 n 1 (q; q)n−1 { µ−1∏ l=0 µ−1∏ k=0 [(ΘI + η−lqI−(C+kI)/µ − I)]r } × { µ−1∏ l=0 µ−1∏ k=0 [(η−lqI−(C+kI)/µ)]r }−1 zn https://internationalpubls.com 340 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) = ∞∑ n=1 An Dn C−1 n−1 B−1 n 1 (q; q)n−1 { µ−1∏ l=0 µ−1∏ k=0 [−qn + η−lqI−(C+kI)/µ)]r } × { µ−1∏ l=0 µ−1∏ k=0 [η−lqI−(C+kI)/µ]r }−1 zn = ∞∑ n=1 An Dn C−1 n−1 B−1 n 1 (q; q)n−1 Bn B−1 n−1 zn = ∞∑ n=1 An Dn B−1 n−1 C−1 n−1 zn (q; q)n−1 Thus, Φ (µ,C,η;r) ℓ,k Φ (α,B,σ;1) h,m ΘI W = ∞∑ n=0 An+1 Dn+1 B−1 n C−1 n zn+1 (q; q)n (3.15) On the other hand, Ψ (δ,A,ζ;s) j,i EA,B,C αI, δI, µI(zq p; s, r|q) = ∞∑ n=0 An Dn B−1 n C−1 n 1 (q; q)n { δ−1∏ j=0 δ−1∏ i=0 [(ΘI + ζ−jq−(A+iI)/δ − I)]s } × { δ−1∏ j=0 δ−1∏ i=0 [(ζ−jq−(A+iI)/δ)]s }−1 zn = ∞∑ n=0 An Dn B−1 n C−1 n 1 (q; q)n { δ−1∏ j=0 δ−1∏ i=0 [(I − ζjqnI+(A+iI)/δ)]s } zn = ∞∑ n=0 An Dn B−1 n C−1 n 1 (q; q)n An+1 A−1 n zn = ∞∑ n=0 An+1 Dn B−1 n C−1 n zn (q; q)n that is, z (−1)p Ψ (δ,A,ζ;s) j,i EA,B,C αI, δI, µI(zq p; s, r|q) = ∞∑ n=0 An+1 Dn+1 B−1 n C−1 n zn+1 (q; q)n . (3.16) On comparing (3.15) and (3.16), the equation (3.11) is obtained. The q-difference equation satisfied by the function (2.14) is given in following theorem whose proof follows line-to-line just dropping the factor qn(n−1)/2 that is, dropping Dn in (3.14). Theorem 3.6. Let α, µ, δ ∈ N, then Y = eγ,δα,β,λ,µ(z; s, r|q) satisfies the equation[ Φ (µ,λ,η;r) ℓ,k Φ (α,β,σ;1) h,m Θ− z Ψ (δ,γ,ζ;s) j,i ] Y = 0, (3.17) where ζ is δth root of unity, η is µth root of unity, σ is αth root of unity. https://internationalpubls.com 341 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) 3.4 Eigen function property Take { a−1∏ u=0 a−1∏ v=0 [(Λq + c−uqI−(B+vI)/a − I)]m }{ a−1∏ u=0 a−1∏ v=0 [c−uqI−(B+vI)/a]m }−1 = Ω(a,B,c;m) u,v , (3.18) and ∆q = Dq Ω (δ,A,ζ;−s) j,i Φ (µ,C,η;r) ℓ,k Φ (α,B,σ;1) h,m . (3.19) Here the operators Ω (δ,γ,ζ;−s) j,i ,Φ (µ,λ,η;r) ℓ,k ,Φ (α,β,σ;1) h,m in (3.19) are not commutative with the operator Dq. This property does not hold for the function Eγ,δ α,β,λ,µ(z; s, r|q), but for the other version: eγ,δα,β,λ,µ(z; s, r|q), it is established in Theorem 3.7. Let α, µ, δ ∈ N and q-difference operator Θ be defined by (3.7) then eγ,δα,β,λ,µ(z; s, r|q) is an eigen function with respect to the operator ∆q defined by (3.19). That is, for any non zero c, ∆q eA,B,C αI, δI, µI(cz; s, r|q) = c eA,B,C αI, δI, µI(z; s, r|q). (3.20) (3.21) Proof. With An, Bn and Cn as in (3.13) and in (3.14), eA,B,C αI, δI, µI(cz; s, r|q) = ∞∑ n=0 An B−1 n C−1 n zn (q; q)n Now if eA,B,C αI, δI, µI(cz; s, r|q) = Yc then in the notation (3.9), Φ (α,B,σ;1) h,m Yc = ∞∑ n=0 cn An B−1 n C−1 n 1 (q; q)n × { α−1∏ h=0 α−1∏ m=0 (ΘI + σ−h qI−(B+mI)/α − I) } × { α−1∏ h=0 α−1∏ m=0 (σ−hqI−(B+mI)/α) }−1 zn = ∞∑ n=0 cn An B−1 n C−1 n { α−1∏ h=0 α−1∏ m=0 (I − σhq(n−1)I+(B+mI)/α) } × { α−1∏ h=0 α−1∏ m=0 (σhq(B+mI)/α) }−1 zn (q; q)n = ∞∑ n=0 cn An B−1 n C−1 n 1 (q; q)n Cn C−1 n−1 zn = ∞∑ n=0 cn An B−1 n C−1 n−1 zn (q; q)n https://internationalpubls.com 342 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) Next Φ (µ,C,η;r) ℓ,k Φ (α,B,σ;1) h,m Yc = ∞∑ n=0 cn An C−1 n−1 B−1 n 1 (q; q)n × { µ−1∏ l=0 µ−1∏ k=0 [(ΘI + η−lqI−(C+kI)/µ − I)]r } × { µ−1∏ l=0 µ−1∏ k=0 [(η−lqI−(C+kI)/µ)]r }−1 zn = ∞∑ n=0 cn An C−1 n−1 B−1 n 1 (q; q)n × { µ−1∏ l=0 µ−1∏ k=0 [−qn + η−lqI−(C+kI)/µ)]r } × { µ−1∏ l=0 µ−1∏ k=0 [η−lqI−(C+kI)/µ]r }−1 zn = ∞∑ n=0 cn An C−1 n−1 B−1 n 1 (q; q)n Bn B−1 n−1 zn = ∞∑ n=0 cn An B−1 n−1 C−1 n−1 zn (q; q)n Further using (3.18), Ω (δ,A,ζ;−s) j,i Φ (µ,C,η;r) ℓ,k Φ (α,B,σ;1) h,m Yc = ∞∑ n=0 cn An B−1 n−1 C−1 n−1 1 (q; q)n { δ−1∏ j=0 δ−1∏ i=0 [(∆qI + ζ−jq−(A+iI)/δ − I)]−s } × { δ−1∏ j=0 δ−1∏ i=0 [(ζ−jq−(A+iI)/δ)]−s }−1 zn = ∞∑ n=0 cn An B−1 n−1 C−1 n−1 1 (q; q)n { δ−1∏ j=0 δ−1∏ i=0 [(I − ζjqnI+(A+iI)/δ)]s } zn = ∞∑ n=0 cn An B−1 n−1 C−1 n−1 1 (q; q)n An−1 A−1 n zn = ∞∑ n=0 cn An−1 B−1 n−1 C−1 n−1 zn (q; q)n https://internationalpubls.com 343 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s(2025) Finally, ∆q Yc = Dq Ω (δ,A,ζ;−s) j,i Φ (µ,C,η;r) ℓ,k Φ (α,B,σ;1) h,m Yc = ∞∑ n=1 cn An−1 B−1 n−1 C−1 n−1 zn−1 (q; q)n−1 = ∞∑ n=0 cn+1 An B−1 n C−1 n zn (q; q)n = c eA,B,C αI, δI, µI(cz; s, r|q). 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