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Contents lists available atScienceDirect

C. R. Acad. Sci. Paris, Ser. I

www.sciencedirect.com

Combinatorics/Number theory

A q-analogue for bi s nomial coefficients and generalized Fibonacci sequences

Un q-analogue pour les coefficients bi

s

nomiaux et les suites de Fibonacci généralisées

Hacène Belbachir

a

, Athmane Benmezai

b,c

aUSTHB, Faculty of Mathematics, RECITS Laboratory, DG-RSDT, BP 32, El Alia 16111, Bab Ezzouar, Algiers, Algeria

bUniversity of Dely Brahim, Fac. of Eco. & Manag. Sc., RECITS Laboratory, DG-RSDT, Rue Ahmed Ouaked, Dely Brahim, Algiers, Algeria cUniversity of Oran, Faculty of Sciences, BP 1524, ELM Naouer, 31000, Oran, Algeria

a r t i c l e i n f o a b s t r a c t

Article history:

Received 22 October 2013

Accepted after revision 21 January 2014 Available online 4 February 2014 Presented by the Editorial Board

A new q-analogue of bisnomial coefficients is proposed according to the generalized q-Fibonacci sequence suggested by Cigler’s approach.

©2014 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved.

r é s u m é

Nous proposons une nouvelle variante de q-analogue pour les coefficients binomiaux généralisés appelés coefficients bisnomiaux. Elle est basée sur les suites q-Fibonacci proposées par Cigler.

©2014 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved.

1. Introduction

Fors1, bisnomial coefficients denoted byn

k

sare considered as extensions of binomial coefficientsn

k

and are obtained by the multinomial expansion:

1

+

x

+

x2

+ · · · +

xs

n

=

k0

n k

s

xk

,

(1)

wheren

k

1=n

k

is the classical binomial coefficient, and fork>nsork<0,n

k

s=0.

They satisfy the following recursion:

n k

s

=

n

j=0

n j

j k

j

s1

.

(2)

For an appropriate introduction of this numbers, see Andrews and Baxter[1], Belbachir etal.[6], Bollinger[7]and Smith and Hogatt[9].

E-mail addresses:[email protected],[email protected](H. Belbachir),[email protected](A. Benmezai).

1631-073X/$ – see front matter ©2014 Académie des sciences. Published by Elsevier Masson SAS. All rights reserved.

http://dx.doi.org/10.1016/j.crma.2014.01.009

(2)

Using the classical binomial and multinomial coefficients (see[2,6]), we obtain the following formulae:

n k

s

=

j1+j2+···+js=k

n j1

j1 j2

· · ·

js1

js

,

(3)

n k

s

=

j1+2j2+···+sjs=k

n j1

,

j2

, . . . ,

js

,

(4)

n k

s

=

k/(

s+1) j=0

(

1

)

j

n

j

n

1

+

k

j

(

s

+

1

)

n

1

.

(5)

The following recursion is also satisfied:

n k

s

=

s

j=0

n

1 k

j

s

.

The coefficients q k

2

n k

are considered as a q-analogue of binomial coefficients. They appear as the coefficients of the binomial expansion ofx, ysuch that yx=qxy:

(

x

+

y

)

n

=

n

k=0

n k

xnkyk

,

or as the coefficients of the following product:

(

1

+

z

)(

1

+

qz

)

1

+

q2z

· · ·

1

+

qn1z

=

n

k=0

n k

qk2zk

.

(6)

2. Aq-analogue of bisnomial coefficients

Fora=eis+12π , the multinomial expansion gives:

s

j=0

xj

n

=

s

r=1

x

ar

n

=

s

r=1

n

j=0

n j

xj

ar

nj

=

ns

k=0

j1+j2+···+js=k

n j1

n j2

· · ·

n

js

(−

1

)

nskasr=1r(njr)

xk

.

By identification, we obtain a new expression of the bisnomial coefficients:

Theorem 2.1.The following identity holds:

n k

s

=

j1+j2+···+js=k

n j1

n j2

· · ·

n

js

(−

1

)

kasr=1r jr

.

(7)

Now, we are able to propose a definition of theq-analogue of the bisnomial coefficients.

Definition 2.1.We define aq-analogue of bisnomial coefficients by:

n k

s

=

j1+j2+···+js=k

n j1

1

n j2

1

· · ·

nj

s

1

(−

1

)

kars=1r jr

.

(8)

wheren j

1=q2jn j

.

(3)

Remark 2.2.Fors=1, we obtain the classicalq-binomial coefficientsq k

2

n k

. We use the notationn k

1to indicate the term qk2n

k

.

According to relation (7), these coefficients seem to be natural as the classical q-analogues of bisnomial coefficients.

Moreover, the productn1

j=0(1+qjz+ · · · +(qjz)s)appears as a naturalq-analogue of multinomial expansion; we will show below thatn

k

sis the coefficient of thek-th term of the product.

Theorem 2.3.We have:

n

1 j=0

1

+

qjz

+ · · · +

qjz

s

=

ns

k=0 n k

s

zk

.

(9)

Proof. Knowing thata=eis2+π1, we have(1+z+z2+ · · · +zs)=s

j=1(zaj). Hence, n

1

j=0

1

+

qjz

+ · · · +

qjz

s

=

s

r=1

z

ar

qz

ar

· · ·

qn1z

ar

=

s

r=1

n

k=0

n j

q2jzj

ar

nj

=

ns

k=0

j1+···+js=k

n j1

· · ·

nj

s

qrs=1

jr

2

(−

1

)

nskasr=1r(njr)

zk

=

ns

k=0 n k

s

zk

.

The last line is deduced from the previous one, by:ar=1s rn=(1)sn. 2

Remark 2.4.Our definition for theq-analogue of bisnomial coefficients and the definition suggested by Andrews and Baxter are two different approaches (see for example the cases=2). Each one has its advantages.

Theq-binomial coefficientsn k

1satisfy two recursions:

n k

1

=

qk n

1 k

1

+

qk1 n

1 k

1

1

,

(10)

n k

1

=

n

1 k

1

+

qn1 n

1 k

1

1

.

(11)

Using the two relations:

n

1 j=0

1

+

qjz

+ · · · +

qjz

s

=

1

+

z

+ · · · +

zs

n

2

j=0

1

+

qj+1z

+ · · · +

qj+1z

s

,

n

1 j=0

1

+

qjz

+ · · · +

qjz

s

=

1

+

qn1z

+ · · · +

qn1z

s

n

2

j=0

1

+

qjz

+ · · · +

qjz

s

,

we establish the following theorem, which generalizes the recursions(10)and(11)to theq-bisnomial coefficients.

Theorem 2.5.The q-analogue of bisnomial coefficients satisfy the two following recursions:

n k

s

=

s

j=0

qkj n

1 k

j

s

,

(12)

n k

s

=

s

j=0

q(n1)j n

1 k

j

s

.

(13)

(4)

These two recursions areq-analogue of the generalized Pascal formula satisfied by the bisnomial coefficients:

n k

s

=

s

j=0

n

1 k

j

s

.

3. Generalized Fibonacci sequences andq-analogue

Belbachir and Bencherif[3]consider the sequences the sequencesn(s))nsdefined by:

Φ

0(s)

, Φ

(s1)

, . . . , Φ

(ss)

= (

1

,

0

,

0

, . . . ,

0

), Φ

n(s)

= Φ

n(s)1

+ Φ

n(s)2

+ · · · + Φ

n(s)s1

(

n

1

),

as the generalized Fibonacci sequences, and in[6], Belbachir etal.establish the following:

Φ

n(s)

=

sm

r

k=0

n

k k

s

,

wheremis given by the extended Euclidean algorithm for division: 0rsandm(s+1)r=n. As theq-analogue of the generalized Fibonacci sequencesn(s))ns, we introduce the following.

Definition 3.1.Fors1, we define theq-analogue of the generalized Fibonacci polynomials by:

F(ns+)1

(

z

) =

sm

r

k=0

qk n

k k

s

zk

,

where 0rsandm(s+1)r=n.

Theorem 3.1.The generalized q-Fibonacci polynomials satisfy the two following recursions:

F(ns+)1

(

z

) =

s

j=0

qnjz

j

Fn(s)j

z

qj

,

(14)

F(ns+)1

z

q

=

s

j=0

zjFn(s)j

(

z

),

(15)

with the initials:

F(1s)

(

z

),

F(0s)

(

z

),

F(s)1

(

z

), . . . ,

F(s)s+1

(

z

)

= (

1

,

0

,

0

, . . . ,

0

).

Proof. Forn<0, the termF(ns+)1(z)is computed over an empty summation index which gives F(ns+)1(z)=0; otherwise, we have:

s

j=0

qnjz

j

F(ns)j

z

qj

=

s

j=0

qnjz

j k0

qk n

1

j

k k

s

z qj

k

=

s

j=0 k0

q(njk)j+k n

1

j

k k

s

zk+j

=

s

j=0 k0

q(nk)j+kj n

1

k k

j

s

zk

=

k0

qk

s

j=0

q(nk1)j n

1

k k

j

p

zk

.

According to(13), we obtain:

s

j=0

(

qnjz

)

jF(ns)j

(

z qj

) =

k0

qk n

k k

s

zk

=

Fn(s+)1

(

z

).

(5)

Also, we have:

s

j=0

zjF(ns)j

(

z

) =

s

j=0 zj

k0

qk n

1

j

k k

s

zk

=

s

j=0 k0

qk n

1

j

k k

s

zk+j

=

k0

s

j=0

qkj n

1

k k

j

s

zk

.

According to(12), we obtain:

s

j=0

zjF(ns)j

(

z

) =

k0 n

k

k

s

zk

=

F(ns+)1

(

z q

). 2

Fors=1, we recover theq-Fibonacci polynomials suggested by J. Cigler[8], see also[4,5]

F(n1+)1

(

z

) =

Fn+1

(

z

) =

k0

qk n

k k

1

zk

,

which satisfy the two following recursions:

Fn+1

(

z

) =

Fn

(

z

) +

qn1zFn1

z q

,

(16)

Fn+1

z q

=

Fn

(

z

) +

zFn1

(

z

).

(17)

The equalities (16) and (17) are respectively a specialization (s=1) of the recursions (14) and (15) satisfied by the q-analogue of the generalized Fibonacci polynomials.

Acknowledgement

The authors would like to thank the anonymous referee for careful reading and suggestions that improved the clarity of this manuscript.

References

[1]G.E. Andrews, J. Baxter, Lattice gas generalization of the hard hexagon model IIIq-trinomials coefficients, J. Stat. Phys. 47 (1987) 297–330.

[2]H. Belbachir, Determining the mode for convolution power of discrete uniform distribution, Probab. Eng. Inf. Sci. 25 (4) (2011) 469–475.

[3]H. Belbachir, F. Bencherif, Linear recurent sequences and powers of a square matrix, Integers 6 (2006) A12.

[4]H. Belbachir, A. Benmezai, Expansion of Fibonacci and Lucas polynomials: An answer to Prodinger’s question, J. Integer Seq. 15 (2012), Article 12.7.6., 5 pp.

[5]H. Belbachir, A. Benmezai, An alternative approach to Cigler’sq-Lucas polynomials, J. Appl. Math. Comput. 226 (2014) 691–698.

[6]H. Belbachir, S. Bouroubi, A. Khelladi, Connection between ordinary multinomials, Fibonacci numbers, Bell polynomials and discrete uniform distribution, Ann. Math. Inform. 35 (2008) 21–30.

[7]R.C. Bollinger, A note on PascalT-triangles, Multinomial coefficients and Pascal pyramids, Fibonacci Q. 24 (1986) 140–144.

[8]J. Cigler, A new class ofq-Fibonacci polynomials, Electron. J. Comb. 10 (2003), Article R19.

[9]C. Smith, V.E. Hogatt, Generating functions of central values of generalized Pascal triangles, Fibonacci Q. 17 (1979) 58–67.

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