Hindawi Publishing Corporation Journal of Applied Mathematics Volume 2013, Article ID 242815, 6 pages http://dx.doi.org/10.1155/2013/242815
Research Article A Determinant Expression for the Generalized Bessel Polynomials
Sheng-liang Yang and Sai-nan Zheng
Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou, Gansu 730050, China Correspondence should be addressed to Sheng-liang Yang; [email protected]
Received 5 June 2013; Accepted 25 July 2013
Academic Editor: Carla Roque
Copyright Β© 2013 S.-l. Yang and S.-n. Zheng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Using the exponential Riordan arrays, we show that a variation of the generalized Bessel polynomial sequence is of Sheffer type, and we obtain a determinant formula for the generalized Bessel polynomials. As a result, the Bessel polynomial is represented as determinant the entries of which involve Catalan numbers.
πβπ 1. Introduction Let π(π, π) denote the coefficient of π§ in π¦πβ1(π§).We call π(π, π) a signless Bessel number of the first kind and πβπ The Bessel polynomials form a set of orthogonal polyno- π(π, π) = (β1) π(π, π) aBesselnumberofthefirst mials on the unit circle in the complex plane. They are kind. The Bessel number of the second kind π΅(π, π) is important in certain problems of mathematical physics; defined to be the number of set partitions of [π] := for example, they arise in the study of electrical net- {1,2,3,...,π} into π blocks of size one or two. Han and works and when the wave equation is considered in spher- Seo [3] showed that the two kinds of Bessel numbers are ical coordinates. Many other important applications of related by inverse formulas, and both Bessel numbers of such polynomials may be found in Grosswald [1,pages the first kind and those of the second kind form log- 131β149]. The Bessel polynomials1 [ , 2]arethepoly- concave sequences. In [4], the Bessel matrices obtained nomial solutions of the second-order differential equa- from the Bessel numbers of the first kind π(π, π) and tions of the second kind π΅(π, π) are introduced, respectively. It is shown that these matrices can be represented by π§2π¦σΈ σΈ (π§) + (2π§ + 2) π¦σΈ (π§) =π(π+1) π¦ (π§) ,π¦(0) =1. π π π π the exponential Riordan matrices. The relations between (1) the Bessel matrices, Catalan matrices, Stirling matrices, and Fibonacci matrices are also investigated. Recently, From this differential equation one can easily derive the [5] showed that Bessel numbers correspond to a special formula case of the generalized Stirling numbers. Bessel polyno- π π π+π π§π mials have the following two determinant representations π¦ (π§) = β ( )( )π! . π π π π (2) [6]: π=0 2 2 Journal of Applied Mathematics
σ΅¨ σ΅¨ σ΅¨ 2 (1+ππ§) β1 0 β β β 0 σ΅¨ σ΅¨ σ΅¨ σ΅¨ β2π§ (2+ππ§) 2 (1+ππ§) β2 β β β 0 σ΅¨ σ΅¨ σ΅¨ π σ΅¨ 2π§2 (3+ππ§) β2π§ (2+ππ§) 2 (1+ππ§) β β β 0 σ΅¨ 2 π¦ (π§) = σ΅¨ σ΅¨ , π σ΅¨ σ΅¨ σ΅¨ . . . . σ΅¨ σ΅¨ . . . d . σ΅¨ σ΅¨ πβ1 πβ2 πβ3 σ΅¨ σ΅¨2(βπ§) (π+ππ§) 2(βπ§) (πβ1+ππ§) 2(βπ§) (πβ2+ππ§) β β β 2(1+ππ§)σ΅¨ σ΅¨ 2π β 1 π§β10 β β β 000σ΅¨ (3) σ΅¨( ) σ΅¨ σ΅¨ σ΅¨ σ΅¨ 1 (2π β 3) π§β1β β β 000σ΅¨ σ΅¨ σ΅¨ σ΅¨ 01(2π β 5) π§β β β 00σ΅¨ 0 π¦ (π§) = σ΅¨ σ΅¨ . π σ΅¨ ...... σ΅¨ σ΅¨ . . . d . . . σ΅¨ σ΅¨ σ΅¨ σ΅¨ 000β β β 1π§β1σ΅¨ σ΅¨ σ΅¨ σ΅¨ 000β β β 011σ΅¨
In EgecioΛ gluΛ [7], a (π + 1) Γ (π +1) Hankel determinant Lemma 1. Let π΄=(ππ,π)π,πβ₯0 = [π(π‘), β(π‘)] be an exponential Μ Μ π(π‘) =ββ π π‘π π(π‘) =ββ π π‘π π»π(π§) is introduced by π»π(π§) = det[ππ+π(π§)]0β€π,πβ€π,where Riordan matrix and let π=0 π , π=0 π be σΈ π π π(β(π‘)) =β (π‘) π(β(π‘)) = ππ(π§) = β (π§ /π!),andaclosedformevaluationof two formal power series such that ,and π=0 πσΈ (π‘)/π(π‘) π =(1/π!)β π!(π +ππ )π this determinant in terms of the Bessel polynomials is .Then π+1,π πβ₯πβ1 πβπ πβπ+1 π,π, where defining πβ1 =0. Conversely, starting from the sequences given. Hence another determinant expression for the Bessel β π β π π(π‘) =β πππ‘ π(π‘) =β πππ‘ polynomials is given by πππ¦π(2π§) =π π» (π§) with π»π(π§) = π=0 ,and π=0 ,theinfinitearray π(π+1)/2 π π 2 2 (ππ,π)π,πβ₯0 defined by above relations is an exponential Riordan det[ππ+π(π§)]0β€π,πβ€π,whereππ =(β1) 2 βπ=1(π! /(2π)! ) π π matrix. and ππ(π§) = βπ=0(π§ /(πβπ)!). In this paper, using the production matrix of Bessel From this proposition, the production matrix of π΄= matrix which is represented as exponential Riordan array, we [π(π‘), β(π‘)] is π=(ππ,π)π,πβ₯0 with ππ,π = (π!/π!)(ππβπ +πππβπ+1) show that a variation of the generalized Bessel polynomial (πβ1 =0), where the numbers ππ and ππ are determined by β π σΈ β π sequence is of Sheffer type, and we give a determinant π(π‘) =βπ=0 πππ‘ =π(π(π‘))/π(π(π‘)), π(π‘)π=0 =β πππ‘ = formula for the generalized Bessel polynomials. As a result, σΈ π (π(π‘)).Thesequence(ππ)πβ₯0 and (ππ)πβ₯0 are called, respec- the Bessel polynomial is represented as determinant the tively, the π-sequence and the π-sequence of exponential entries of which involve Catalan numbers. Riordan array π΄ = [π(π‘), β(π‘)]. Aswellknown,manypolynomialsequenceslikeLaguerre 2. Exponential Riordan Array polynomials, first and second kind Meixner polynomials, Poisson-Charlier polynomials, and Stirling polynomials form The concept of Riordan array was introduced by Shapiro Sheffer sequences. The Sheffer polynomials are specified here et al. [8] in 1991; then the concept is generalized to the by means of the following generating function (see [14, 15] exponential Riordan array by many authors [4, 9β13]. Let and the references cited therein): β π β π π(π‘) = 1+ βπ=1 ππ(π‘ /π!), β(π‘) = βπ=1 βπ(π‘ /π!) with β =0ΜΈ β π‘π 1 1 be two formal power series. An exponential Riordan βπ (π₯) = ππ₯π(π‘), π΄=(π ) π (5) array is an infinite lower triangular array π,π π,πβ₯0 π=0 π! π(π (π‘)) whose πth column has exponential generating function π (1/π!)π(π‘)β(π‘) . The array corresponding to the pair π(π‘), where π(π‘) is a delta series and π(π‘) an invertible series, β(π‘) π΄ = [π(π‘), β(π‘)] is denoted by .Thegrouplawis and π(π‘) is the compositional inverse of π(π‘).Thesequence [π(π‘), β(π‘)][π(π‘), π(π‘)] = [π(π‘)π(β(π‘)), π(β(π‘))] then given by . π π(π₯) in (5) is called the Sheffer sequence for the pair From the definition it follows at once that the bivariate (π(π‘), π(π‘)).TheSheffersequence,ππ(π₯) for (1, π(π‘)) is called π΄ = [π(π‘), β(π‘)] πΊ (π₯, π‘) = generating function of ,namely, π΄ theassociatedsequenceanditsatisfiesbinomialformula β π π₯π(π‘π/π!) π π,π π,π ,isgivenby ππ(π₯+π¦)=π=0 β ππ(π₯)ππβπ(π¦),sowealsosaythatitis of binomial type. In [13],theauthorprovedthefollowing theorem ([13,Theorem2.4]). πΊπ΄ (π₯,) π‘ =π(π‘) exp (π₯π (π‘)) . (4) Lemma 2. Let [π(π‘), π(π‘)] be an exponential Riordan array π΄ = [π(π‘), β(π‘)] Each exponential Riordan array is asso- with the π-sequences (ππ)πβ₯0 and π-sequences (ππ)πβ₯0.Let π ciated a matrix called its production matrix [12], which is (ππ(π₯))πβ₯0 be the Sheffer polynomial sequence for (π(π‘), π(π‘)). β1 determined by π=π΄ π΄,whereπ΄ is the matrix π΄ with its Then π0(π₯) =, 1 π1(π₯)=π₯βπ0,andforallπβ₯0, ππ+1(π₯) = top row removed. The production matrix of an exponential det(π₯πΌπ+1βππ+1),whereππ+1 is the (π+1)th principal submatrix Riordan array is characterized by the following lemma [10]. of the production matrix π. Journal of Applied Mathematics 3
3. Bessel Polynomials and Bessel Matrices Proof. From Theorem 3,weobtain
πβ₯πβ₯0 β π β π For , the signless Bessel number of the π‘ π π₯ π‘ πβπ β π (π§, π₯) = β (2π§) π ( ) first kind π(π, π) is defined to be the coefficient of π§ in π π π=0 π! π=0 2π§ π! Bessel polynomial π¦πβ1(π§) with π(0, 0). =1 The infinite lower triangular matrix π΄ with generic entry π(π, π) is called β π₯ (2π§π‘)π = β π ( ) =ππ₯((1ββ1β4π§π‘)/2π§). signless Bessel matrix of the first kind. From [4], the signless π 2π§ π! Bessel matrix of the first kind can be represented as the π=0 exponential Riordan array π΄=[1,1ββ1β2π‘]. (10) π Let ππ(π₯) = π₯ π¦πβ1(1/π₯) for πβ₯1and π0(π₯) =.Then 1 Using (5), we obtain the desired result. the coefficients matrix of polynomial sequence {ππ(π₯)}πβ₯0 is the signless Bessel matrix of the first kind π΄=[1,1ββ1β2π‘]. π From the previous proof, the polynomial sequence Let ππ(π₯) = π₯ π¦π(1/π₯) for πβ₯0.Thenππ(π₯) = (1/π₯)ππ+1(π₯), π (π§, π₯) π π π π has exponential generating function and ππ(π₯) = π₯ π¦π(1/π₯) = βπ=0 π(π+1,π+1)π₯.By[10], the infinite lower triangular matrix π΅ with generic entry β π‘π βπ (π§, π₯) =ππ₯((1ββ1β4π§π‘)/2π§), π΅π,π = π(π+1,π+1)is the exponential Riordan array π΅= π (11) π=0 π! [1/β1β2π‘,1ββ1β2π‘].WecallthismatrixtheBesselmatrix since it is the coefficients matrix of the Bessel polynomials. and ππ(π₯) =π π (1/2, π₯).So{ππ(π§, π₯)}πβ₯0 is a generalization of From (4), one has {ππ(π₯)}πβ₯0. Instead of working with π¦π(π§, π,,itissomewhateas- π) β π π‘ π₯(1ββ1β2π‘) ier to work with the polynomials π π(π§,π,π₯) defined as βππ (π₯) =π , (6) π π π+π+πβ2 π πβπ π! π π(π§, π, π₯) = βπ=0 ( π )( π )π!π§ π₯ ,whicharerelated π=0 π to the π¦π(π§, π, π) by π π(π§, π, π₯) =π₯ π¦π(π§, π,, π₯) πβ₯0.Itis β π π‘ 1 π₯(1ββ1β2π‘) easy to check that π π(1/2, 2, π₯) =π π (π₯).So{π π(π§, π, πβ₯0π₯)} is a βππ (π₯) = π . (7) {ππ(π₯)}πβ₯0 π=0 π! β1β2π‘ generalization of .
Theorem 5. {π π(π§, π, πβ₯0π₯)} is a Sheffer polynomial sequence Henceweobtainthefollowingresults(seealso[14, 16]). in the variable π₯. Theorem 3. {π (π₯)} πβ2 The polynomial sequence π πβ₯0 is of bino- Proof. Let π΅(π§) = [(1/β1 β 4π§π‘)((1 β β1β4π§π‘)/2π§π‘) ,(1β {π (π₯)} mial type, and the polynomial sequence π πβ₯0 is a Sheffer β1β4π§π‘)/2π§].By(5.72) of [17,page203],one sequence. has the general term of π΅(π§) which is π΅(π§)π,π = [π‘π/π!](1/β1β4π§π‘)π‘π((1 β β1β4π§π‘)/2π§π‘)π+πβ2 = The generalized Bessel polynomial π¦π(π§, π, π) was defined [π‘π/π!]π‘π ββ ( 2π+π+πβ2 )(π§π‘)π =(π )(2πβπ+πβ2 )(πβπ)!π§πβπ by Krall and Frink [2] as the polynomial solution of the π=0 π π πβπ . π π π π 2πβπ+πβ2 differential equation Hence βπ=0 π΅(π§)π,ππ₯ = βπ=0 ( π )( πβπ )(π β πβπ π π π 2πβπ+πβ2 πβπ π π)!π§ π₯ = βπ=0 ( πβπ )( πβπ )(π β π)!π§ π₯ = 2 σΈ σΈ σΈ π π π+π+πβ2 π πβπ π π π π+π+πβ2 π π§ π¦π (π§) + (ππ§) +π π¦π (π§) =π(π+πβ1) π¦π (π§) , βπ=0( π )( π )π!π§ π₯ =π₯ βπ=0( π )( π )π!(π§/π₯) = π π₯ π¦π(π§, π, π₯)π =π (π§, π,. π₯) Therefore, the exponential gener- π =0,ΜΈ π=0,β1,β2,....ΜΈ ating function of the sequence {π π(π§, π, πβ₯0π₯)} is (8) β π‘π 1 1ββ1β4π§π‘ πβ2 βπ (π§, π, π₯) = ( ) The explicit expression of the generalized Bessel polynomials π π! β1β4π§π‘ 2π§π‘ is π=0 (12) Γππ₯((1ββ1β4π§π‘)/2π§). π π π+π+πβ2 π§ π π¦ (π§, π, π) = β ( )( )π!( ) . π π π π (9) π=0 Using (5), we obtain the desired result.
In addition these polynomials satisfy the three-term recur- From Theorems 4 and 5, we get the following theorem. sion relation (π + π β 1)(2π +π+1 πβ2)π¦ (π§) = [(2π + π)(2π + Theorem 6. The sequences {ππ(π§, π₯)}πβ₯0 and {π π(π§, π, πβ₯0π₯)} πβ2)(π§/π)+πβ2](2π+πβ1)π¦π(π§) + π(2ππβ1 +π)π¦ (π§), πβ₯2, satisfy the following convolution formulas: with initial conditions π¦0(π§) = 1 and π¦1(π§) = 1 + π(π§/π). We introduce a two-variable polynomial sequence π π (π§, π₯) π (π§, π₯) = (2π§)ππ (π₯/2π§) π (π§, π₯) = π by π π .Then π ππ (π§, π₯ + π¦) = βππ (π§, π₯) ππβπ (π§, π¦) , π π πβπ πβπ π πβ1 2πβπβ1 πβπ π π=0 βπ=0 π(π, π)2 π§ π₯ = βπ=0 ( πβ1 )( πβ1 )(πβπ)!π§ π₯ . (13) π Theorem 4. {π (π§, π₯)} π πβ₯0 is a sequence of polynomials of bino- π π (π§, π, π₯ +π¦)= βπ π (π§, π, π₯) ππβπ (π§, π¦) . mial type in the variable π₯. π=0 4 Journal of Applied Mathematics
Note that the coefficients matrix of the polynomial β1 β 4π‘)/2π‘.Theformulae(11)and(12) imply the connection β sequence {ππ(π§, π₯)}πβ₯0 is π΄(π§) = [1, (1β 1β4π§π‘)/2π§], betweenthegeneralizedBesselpolynomialsandCatalan which is a generalization of the signless Bessel matrix of numbers. In the following we will give some determinant the first kind π΄=[1,1ββ1β2π‘] while the coeffi- expressions for Bessel polynomials, in which the entries cients matrix of the polynomial sequence {π π(π§, π, πβ₯0π₯)} involve Catalan numbers. πβ2 Define π(π§, π) to be the infinite Hessenberg matrix with is π΅(π§, π) =β [(1/ 1 β 4π§π‘)((1 β β1β4π§π‘)/2π§π‘) ,(1 β general entry β1β4π§π‘)/2π§], which is a generalization of the Bessel matrix π΅=[1/β1β2π‘,1ββ1β2π‘]. {1, if π=πβ1, { π! π (π§,) π = β (2π + π) πΆ π§πβπ+1, πβ₯πβ₯0, 4. Determinant Formulae for π,π { π! πβπ if (14) Bessel Polynomials { {0, otherwise. 2π The Catalan numbers, πΆπ = (1/(π + 1)) ( π ), may be defined β π by the ordinary generating function βπ=0 πΆππ‘ =(1β The first rows of π are
βππΆ0π§1 0 0β β β 2 β (2+π) πΆ1π§ β (2+π) πΆ0π§1 0β β β 3 2 ( β2 (4+π) πΆ2π§ β2 (4+π) πΆ1π§ β (4+π) πΆ0π§1β β β ) ( 4 3 2 ) π (π§,) π = ( β6 (6+π) πΆ3π§ β6 (6+π) πΆ2π§ β3 (6+π) πΆ1π§ β (6+π) πΆ0π§β β β ) . ( 5 4 3 2 ) (15) β24 (8+π) πΆ4π§ β24 (8+π) πΆ3π§ β12 (8+π) πΆ2π§ β4 (8+π) πΆ1π§ β β β ...... d ( )
Theorem 7. For π = 0, 1, 2, . ., the polynomial π π+1(π§, tion π π+1(π§,π,π₯) = det (π₯πΌπ+1 βππ+1(π§,π)),that π, π₯) admits the following determinant representa- is,
σ΅¨ π₯+ππΆ π§ β1 0 β β β 0 σ΅¨ σ΅¨ 0 σ΅¨ σ΅¨ 2 σ΅¨ σ΅¨ (2+π) πΆ1π§ π₯+(2+π) πΆ0π§ β1 β β β 0 σ΅¨ σ΅¨ 3 2 σ΅¨ σ΅¨ 2 (4+π) πΆ2π§ 2 (4+π) πΆ1π§ π₯+(4+π) πΆ0π§ β β β 0 σ΅¨ π (π§, π, π₯) = σ΅¨ σ΅¨ , π+1 σ΅¨ . . . . σ΅¨ (16) σ΅¨ . . . d . σ΅¨ σ΅¨ . . . . σ΅¨ σ΅¨π! (2π + π) π! (2π + π) π! (2π + π) σ΅¨ σ΅¨ πΆ π§π+1 πΆ π§π πΆ π§πβ1 β β β π₯+(2π + π) πΆ π§σ΅¨ σ΅¨ 0! π 1! πβ1 2! πβ2 0 σ΅¨
where ππ+1(π§, π) is the (π + 1)th principal submatrix of The generating functions for the π-sequence and π- σΈ Hessenberg matrix π(π§, π) defined by (14). sequence of [π(π‘), π(π‘)] are π(π‘) = π (π(π‘)) = β1β4π§π‘= 1β β π π σΈ 2βπ=1 πΆπβ1π§ π‘ , π(π‘) = π (π(π‘))/π(π(π‘)) = (2 β π)π§πΆ(π§π‘) β π(π‘) = (1 β 2π§π‘)(1 βπ§π‘)πβ2 π(π‘) = π‘(1 βπ§π‘) β β π+1 π Proof. Let and ; 2π§/( 1β4π§π‘)= βπ=0 β(2π + π)πΆππ§ π‘ .ByLemma 1,the then π(π‘) = (1ββ1β4π§π‘)/2π§, 1/π(π(π‘)) = β(1/ 1 β 4π§π‘)((1β production matrix of [π(π‘), π(π‘)] is exactly the Hessenberg β πβ2 π 1β4π§π‘)/2π§π‘) . Therefore, from (12), {π π(π§, π, πβ₯0π₯)} is a matrix defined by (14). Hence, by Lemma 2,weobtainthe Sheffer polynomial sequence for the pair ((1 β 2π§π‘)(1 β desired result. πβ2 π§π‘) , π‘(1 β π§π‘)). Corollary 8. For π = 0, 1, 2, . .,onehasπ¦π+1(π§, π, π₯) = det(πΌπ+1 β(1/π₯)ππ+1(π§, π)).Particularly, Journal of Applied Mathematics 5
σ΅¨ σ΅¨ σ΅¨ 2+2πΆ0π§ β1 0 β β β 0 σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ 2! σ΅¨ σ΅¨ 2 σ΅¨ σ΅¨ β 2πΆ1π§ 2+4πΆ0π§ β1 β β β 0 σ΅¨ σ΅¨ 0! σ΅¨ σ΅¨ σ΅¨ σ΅¨ 3! 3! σ΅¨ 1 σ΅¨ β 2πΆ π§3 β 2πΆ π§2 2+6πΆ π§ β β β 0 σ΅¨ π¦ (π§) = σ΅¨ 2 1 0 σ΅¨ . π+1 2π+1 σ΅¨ 0! 1! σ΅¨ (17) σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ . . . . σ΅¨ σ΅¨ . . . d . σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨(π+1)! (π+1)! (π+1)! σ΅¨ σ΅¨ β 2πΆ π§π+1 β 2πΆ π§π β 2πΆ π§πβ1 β β β 2+2(π+1) πΆ π§σ΅¨ σ΅¨ 0! π 1! πβ1 2! πβ2 0 σ΅¨
Corollary 9. For π = 0, 1, 2, . .,wehave
σ΅¨ σ΅¨ σ΅¨ π₯+πΆ0 β1 0 β β β 0 σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ 2! σ΅¨ σ΅¨ σ΅¨ σ΅¨ πΆ1 π₯+2πΆ0 β1 β β β 0 σ΅¨ σ΅¨ 0!2 σ΅¨ σ΅¨ σ΅¨ σ΅¨ 3! 3! σ΅¨ σ΅¨ πΆ πΆ π₯+3πΆ β β β 0 σ΅¨ π (π₯) = σ΅¨ 2 2 1 0 σ΅¨ , π+1 σ΅¨ 0!2 1!2 σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ . . . . σ΅¨ σ΅¨ . . . d . σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨(π+1)! (π+1)! (π+1)! σ΅¨ σ΅¨ πΆ πΆ πΆ β β β π₯+(π+1) πΆ σ΅¨ σ΅¨ 0!2π π 1!2πβ1 πβ1 2!2πβ2 πβ2 0σ΅¨ (18) σ΅¨ σ΅¨ σ΅¨ 1+πΆ0π₯ βπ₯ 0 β β β 0 σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ 2! σ΅¨ σ΅¨ σ΅¨ σ΅¨ πΆ1π₯1+2πΆ0π₯ βπ₯ β β β 0 σ΅¨ σ΅¨ 0!2 σ΅¨ σ΅¨ σ΅¨ σ΅¨ 3! 3! σ΅¨ σ΅¨ πΆ π₯ πΆ π₯1+3πΆπ₯ β β β 0 σ΅¨ π¦ (π₯) = σ΅¨ 2 2 1 0 σ΅¨ . π+1 σ΅¨ 0!2 1!2 σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ . . . . σ΅¨ σ΅¨ . . . d . σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨ σ΅¨(π+1)! (π+1)! (π+1)! σ΅¨ σ΅¨ πΆ π₯ πΆ π₯ πΆ π₯ β β β 1+(π+1) πΆ π₯σ΅¨ σ΅¨ 0!2π π 1!2πβ1 πβ1 2!2πβ2 πβ2 0 σ΅¨
Examples. (1) One has (2) One has
π¦3 (π§, π, π₯) σ΅¨ σ΅¨ σ΅¨ π₯+ππΆ0π§β10σ΅¨ 1 σ΅¨ 2 σ΅¨ π 3 (π§, π, π₯) =( ) σ΅¨ (2+π) πΆ π§ π₯+(2+π) πΆ π§β1σ΅¨ π₯3 σ΅¨ 1 0 σ΅¨ σ΅¨2 (4+π) πΆ π§3 2 (4+π) πΆ π§2 π₯+(4+π) πΆ π§σ΅¨ σ΅¨ π₯+ππΆ π§β10σ΅¨ σ΅¨ 2 1 0 σ΅¨ σ΅¨ 0 σ΅¨ σ΅¨ 2 σ΅¨ 2 = σ΅¨ (2+π) πΆ1π§ π₯+(2+π) πΆ0π§β1σ΅¨ π§ π§ σ΅¨ 3 2 σ΅¨ =1+3(π+2) ( )+3(π+2)(π+3) ( ) σ΅¨2 (4+π) πΆ2π§ 2 (4+π) πΆ1π§ π₯+(4+π) πΆ0π§σ΅¨ (19) π₯ π₯ =π₯3 +3(π+2) π§π₯2 +3(π+2)(π+3) π§2π₯ π§ 3 + (π+2)(π+3)(π+4) ( ) . π₯ 3 + (π+2)(π+3)(π+4) π§ . (20) 6 Journal of Applied Mathematics
(3) Consider the following: [11] T.-X. He and R. Sprugnoli, βSequence characterization of σ΅¨ σ΅¨ Riordan arrays,β Discrete Mathematics,vol.309,no.12,pp.3962β σ΅¨2+2π§ β1 0 σ΅¨ 1 σ΅¨ σ΅¨ 3974, 2009. π¦ (π§) =( ) σ΅¨ 4π§2 2+4π§ β1 σ΅¨ 3 3 σ΅¨ σ΅¨ [12] P. Peart and W.-J. Woan, βGenerating functions via Hankel and 2 σ΅¨ 3 2 σ΅¨ σ΅¨ 24π§ 12π§ 2+6π§σ΅¨ (21) Stieltjes matrices,β Journal of Integer Sequences,vol.3,no.2, article 00.2.1, 2000. 2 3 = 1 + 6π§ + 15π§ + 15π§ . [13] S.-l. Yang, βRecurrence relations for the Sheffer sequences,β Linear Algebra and Its Applications,vol.437,no.12,pp.2986β (4) Consider the following: 2996, 2012. σ΅¨ σ΅¨ σ΅¨π₯+1 β1 0 σ΅¨ [14] S. Khan, M. W. Al-Saad, and G. Yasmin, βSome properties of σ΅¨ σ΅¨ Hermite-based Sheffer polynomials,β Applied Mathematics and π (π₯) = σ΅¨ 1 π₯+2 β1 σ΅¨ 3 σ΅¨ σ΅¨ Computation,vol.217,no.5,pp.2169β2183,2010. σ΅¨ 3 3 π₯+3σ΅¨ σ΅¨ σ΅¨ (22) [15] S. Roman, The Umbral Calculus, vol. 111, Academic Press, New =π₯3 +6π₯2 + 15π₯ + 15. York, NY, USA, 1984. [16] L. Carlitz, βAnote on the Bessel polynomials,β Duke Mathemat- (5) One has ical Journal,vol.24,pp.151β162,1957. [17]R.L.Graham,D.E.Knuth,andO.Patashnik,Concrete Mathe- σ΅¨ σ΅¨ σ΅¨1+π₯ βπ₯ 0 σ΅¨ matics, Addison-Wesley, New York, NY,USA, 2nd edition, 1994. σ΅¨ σ΅¨ π¦3 (π₯) = σ΅¨ π₯1+2π₯βπ₯σ΅¨ σ΅¨ σ΅¨ σ΅¨ 3π₯ 3π₯ 1 +3π₯σ΅¨ (23) = 15π₯3 + 15π₯2 +6π₯+1.
Acknowledgments This work was supported by the National Natural Sci- ence Foundation of China (Grant no. 11261032) and the Natural Science Foundation of Gansu Province (Grant no. 1010RJZA049).
References
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