Open access peer-reviewed chapter

Generalized Quantum Polynomials

Written By

Burcu Silindir and Ahmet Yantir

Submitted: 12 December 2022 Reviewed: 17 December 2022 Published: 30 January 2023

DOI: 10.5772/intechopen.1000861

From the Edited Volume

Recent Research in Polynomials

Faruk Özger

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Abstract

On a general time scale, polynomials, Taylor’s formula, and related subjects are described in terms of implicit and inefficient recursive relations. In this work, our primary goal is to construct proper polynomials, namely delta and nabla generalized quantum polynomials, on (q, h)-time scales explicitly. We show that generalized quantum polynomials play the same roles on (q, h)-time scales as ordinary polynomials play in R since they obey the additive properties and Leibnitz rules. Such polynomials which recover falling/rising and q-falling/q-rising factorials are constructed by the frame of forward and backward shifts. Additionally, we present delta- and nabla-Gauss’ binomial formulas which provide many applications.

Keywords

  • (q
  • h)-time scales
  • delta generalized quantum polynomial
  • nabla generalized quantum polynomial
  • (q
  • h)-Taylor’s formula
  • (q
  • h)-Gauss’ binomial formula

1. Introduction

The polynomials occupy a very significant place in the theory of analysis. Once a polynomial is constructed, it is possible to express not only elementary functions but also some special functions in terms of infinite series of polynomials. On the other hand, a contribution to polynomials provides progress also on the theory of differential/difference equations because they could be proposed or solved by the frame of polynomials. Since the creation of modern calculus, the polynomials have been studied on continuous line or on discrete lattice where the stepsize h is constant, namely on hZ

hZhx:xZhR+,E1

or on quantum numbers where the stepsize is not uniform, namely on Kq

Kqqn:qRq1nZ0.E2

After the invention of time scales by Stefan Hilger [1], many mathematical concepts constructed on discrete sets and continuous sets are unified without any big obstacles, especially in the theory of difference/differential equations. However, some key mathematical concepts such as polynomials and Taylor’s formula have inefficient or implicit recursive definitions on general time scales and they are inapplicable in practice. Therefore, these concepts are studied not on a general time scale but instead on some specific time scales such as on (1) or on (2).

The so-called qh-time scale Tqh is introduced by Čermák and Nechvátal [2] as the unification of (1) and (2) in order to study fractional calculus. The importance of the qh-time scale is beyond the expectations. In this special setting, it is possible to study the mathematical concepts which cannot be presented explicitly on a general time scale. In this work, we aim to present the proper forms of the polynomials on Tqh in a manner that they assure the nature of qh-time scales. In the literature, the studies on time scales proceed in two directions due to the delta and nabla derivative operators. For that reason, we present the unified polynomials on Tqh in two separate forms: delta and nabla generalized quantum polynomials. We analyze the fundamental properties of both generalized quantum polynomials. One of the most significant advantage of studying on Tqh is to attain the results which reduce to the results on hZ, Kq and R in the proper limits of h and q. We emphasize that the nabla generalized quantum polynomial unifies

  1. nabla q-polynomial as h0,

  2. nabla h-polynomial as q1,

  3. ordinary polynomial as qh10,

while the delta generalized quantum polynomial recovers
  1. delta q-polynomial as h0,

  2. delta h-polynomial as q1,

  3. ordinary polynomial as qh10.

The details of the above reductions under proper limits will be analyzed throughout the current work. Since the construction of Tqh is well-defined, the reductions of forward and backward shifts, the nabla and delta derivatives, polynomials, Gauss Binomial formula to hZ, Kq and R are consistent in both nabla and delta sense.

The current work is organized as follows. In Section 2, we give a very brief introduction to time scale calculus, define two appropriate qh-time scales and we state the concepts of qh-time scale calculus (in both nabla and delta sense). Section 3 is devoted to present the nabla generalized quantum polynomial equipped with its key features such as derivative rule and additive property. We also state and prove the nabla qh-Taylor’s formula from which we are able to establish the nabla qh-Gauss binomial formula. In Section 4, we intensify on the delta generalized quantum polynomial. It is shown that the delta version of quantum binomial also possesses the key features of the polynomials. The delta version of qh-Taylor’s formula and Gauss binomial formula is presented. The notions and theories are explained by examples.

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2. Preliminaries

A time scale T is a non-empty closed subset of R. The most well-known examples of time scales: Z, the Cantor set C and the discrete sets hZ (1) and Kq (2). We refer readers to see the pioneering article [1] and the books [3, 4] for the details of the theory of time scales and [5, 6, 7] for qh-calculus. In this section, we only list the concepts of calculus on time scales, nabla calculus on Tqh1 and delta calculus on Tqh2 which we require throughout this work.

On an arbitrary time scale T, the forward jump and the backward jump operators are given by

σxinfsT:s>x,ρxsupsT:s<x.E3

The Δ- and -derivatives of a real-valued function on T, are, respectively, defined by

fΔxlimsxfσsfxσsx,E4
fxlimsxfρsfxρsx.E5

For given h,qR+, we introduce two-parameter time scales by

Tqh1qnx+nh:nZh1q,q>1,x>h1q,E6

or

Tqh2qnx+nh:nZh1q,0<q<1,x<h1q,E7

where n stands for the q-number given by

n1+q++qn1,E8

which tends to the non-negative integer n as q1. It is clear that such time scales are generalizations of (1) and (2). On Tqh1 and Tqh2, the operators σ and ρ reduce to

σx=qx+h,ρx=xhq.E9

The point h1q is an accumulation point, because of the limits

limnqnx+nh=h1q,0<q<1E10

and

limnqnxnh=h1q,q>1.E11

The reason why we separately define (6) and (7) is to make our contributions consistent with the general theory of time scales.

Remark 2.1. It is also possible to define Tqh1 for 0<q<1,x<h1q and define Tqh2 for q>1,x>h1q. However, in those cases, the roles of the operators σ and ρ have to interchange in order to be consistent with the definitions (3).

Here we note that the time scales Tqh1 and Tqh2 are purely discrete sets with the exceptional accumulation point h1q. The nabla qh-derivative and the delta qh-derivative are defined as follows.

Definition 2.2. [7] Let fx:Tqh1R be a function. The nabla qh-derivative of f is defined by

Dqhfxfxfxhqxxhqifxh1q,limsh1q+fsfh1qsh1qifx=h1q,E12

provided that the limits exist (see [3], Theorem 1.16 i).

Definition 2.3. [2, 5] Let fx:Tqh2R be a function. The delta qh-derivative of f is defined by

Dqhfxfqx+hfxqx+hxifxh1q,limsh1qfsfh1qsh1qifx=h1q,E13

provided that the limits exist (see [3], Theorem 1.16 i).

One of the most significant advantage of qh time scales is to allow us to study q-calculus, h-calculus, and ordinary calculus on one hand. By the definition of jump operators (9), these operators reduce to

  1. σx=σhx=x+h and ρx=ρhx=xh as q1.

  2. σx=σqx=qx and ρx=ρqx=xq as h0.

  3. σx=ρx=x as qh10.

The above reductions have very interesting consequences. If the above reductions are applied to the nabla qh-derivative (12), we obtain the following list of reductions.

  1. T=Kq: The nabla q-derivative D˜q0fx=qfx.

  2. T=hZ: The nabla h-derivative D˜1hfx=hfx.

  3. T=R: The ordinary derivative D˜10fx=dfxdx.

Similarly, the delta qh-derivative (13) has the below list of reductions.

  1. T=Kq: The delta q-derivative [8] Dq0fx=Δqfx.

  2. T=hZ: The nabla h-derivative D1hfx=Δhfx.

  3. T=R: The ordinary derivative D10fx=dfxdx.

The above reductions are shown in Figures 1 and 2.

Figure 1.

Reductions of the nabla generalized derivative (or nabla qh-derivative).

Figure 2.

Reductions of the delta generalized derivative (or delta qh-derivative).

Proposition 2.4. [7] If f,g:Tqh1R are any functions then the product rule for nabla qh-derivative is given by

D˜qhfxgx=gxD˜qhfx+fxhqD˜qhgxE14
=fxD˜qhgx+gxhqD˜qhfx.E15

Proposition 2.5. [5] If f,g are any real-valued functions defined on Tqh2, then the product rule for delta qh-derivative is expressed as

Dqhfxgx=gxDqhfx+fqx+hDqhgxE16
=fxDqhgx+gqx+hDqhfx.E17

Definition 2.6. We introduce the 1q-number as

m1q1+1q+1q2++1qm1,mN.E18

Similar to the q-number m, the 1q-number approaches to the non-negative number m as q1. Moreover, there is a relation between q and 1q-numbers

m1q=mqqm1.E19

Definition 2.7. We introduce the 1q-factorial by

m1q!=m1qm11q11q,mN,E20

while 01q!1.

Definition 2.8. We introduce the 1q-binomial coefficient as

mj1qm1q!mj1q!j1q!,0jm,mN.E21

Proposition 2.9. The following properties hold for the 1q-binomial coefficient

mi1q=mmi1q,E22
mi1q=qiimmiq.E23

Proof: By Definition 2.8, the property (i) is clear. For (ii), we employ the relation (19) which leads to

mj1q=m1q!mi1q!i1q!=qiimmq!mjq!jq!=qiimmiq.E24
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3. Nabla generalized quantum polynomial

In this Section, our main aim is to present nabla qh-analog of the polynomial xωm on Tqh1 (6) in a way that such a polynomial is consistent with the nabla qh-derivative operator (12) and preserves the properties similar to ordinary polynomials. The findings of this section are based on the work [7].

Definition 3.1. We define the nabla generalized quantum polynomial (or nabla qh-polynomial) by

xωq,h˜m1ifm=0,j=1mxωj1hqj1ifmN,ωR.E25

Example 3.2. We can demonstrate the nabla qh-polynomial (25) for m=4

xωq,h˜4=xωxωhqxω2hq2xω3hq3.E26

  1. If we set h=12 and q=2, then 2=1+q3 and 3=1+q+q27 and (26) turns out to be

    xω2,12˜4=xωxω2+14xω4+38xω8+716.E27

  2. If we set h=12 and q=1, then from (26) we have

    xω1,12˜4=xωxω+12xω+1xω+32.E28

  3. If we set h=0 and q=2, then from (26) we derive

xω2,0˜4=xωxω2xω4xω8.E29

Remark 3.3. We list the reductions of the nabla qh-polynomial (25) as follows:

  1. T=Kq: The nabla q-polynomial

    xωq,0˜m=xωxq1ωxq2ωxq1mω.E30

  2. T=hZ: The nabla h-polynomial

    xω1,h˜m=xωxω+hxω+2hxω+m1h.E31

  3. T=R: The ordinary polynomial

xω1,0˜m=xωm.E32

The reductions can be visualized in Figure 3.

Figure 3.

Reductions of the nabla generalized quantum polynomial (or nabla qh-polynomial).

Proposition 3.4. The Leibnitz rule for the nabla qh-polynomial (25) is determined as

D˜qhjxωq,h˜m=m1qm11qmj11qxωq,h˜mj,1jm.E33

Proof: For j=1, we apply the nabla qh-derivative on (25)

D˜qhxωq,h˜m=xωq,h˜mxhqωq,h˜mxxhq=xωm1hqm11qm1xhqωxxhqxωxωhqxωm2hqm2=1+q+qm1qm1xωq,h˜m1=mqm1xωq,h˜m1.E34

We obtain a very useful derivative rule for (25)

D˜qhxωq,h˜m=m1qxωq,h˜m1E35

For j>1, we use (35) and immediately derive the property (33).

To be more precise, the nabla qh-polynomial xωq,hm obeys a very significant derivative rule (35) as in ordinary calculus.

Theorem 1.1. Assume P0P1PM is a set of polynomials preserving the below conditions

  1. P0ω=1 and Pkω=0, kN,

  2. degPk=k, kN0,

  3. DPk=Pk1, kN,

where D is any linear operator. Then Taylor’s formula is presented by

Qx=k=0MDkQωPkx,E36

where Qx is any polynomial of degree M.

Proof: Consider the set of polynomials A=P0P1PM preserving the given conditions. Since degPk=k for each k, then A is a linearly independent set of M+1 polynomials. Assume V is a vector space of polynomials with dimension M+1. Therefore A spans V and A turns out to be a basis for V. That is, any polynomial Qx in V can be determined in terms of the elements of the basis A

Qx=k=0MakPkx.E37

Using condition (i) on (37) leads to

Qω=k=0MakPkω=a0P0ω+a1P1ω++aMPMω=a0P0ω=a0.E38

We employ the linearity of D, the conditions (i) and (iii) to determine a1

DQω=k=0MakDPkω=k=1MakPk1ω=a1P0ω+a2P1ω+aMPM1ω=a1,E39

and each coefficient am

DmQω=k=0MakDmPkω=k=mMakPkmω=amP0ω+am+1P1ω++aMPMmω=am.E40

As a conclusion, we end up with the desired Taylor’s formula

Qx=k=0MDkQωPkx.E41

Motivated by Theorem 1.1, we can state the following theorem.

Theorem 1.2. The nabla qh-Taylor’s formula is given by

Qx=k=0MD˜qhkQωxωq,h˜kk1q!.E42

where Qx is a polynomial of degree M.

Proof: Note that nabla qh-derivative operator D˜qh is linear and the set 1xωq,h˜1xωq,h˜221q!xωq,h˜MM1q! stands for a set of polynomials satisfying the properties of Theorem 1.1. Hence, the proof follows.

One of the most important distinguishing features of polynomials is the additive property. The nabla qh-version of the additive property of nabla generalized quantum polynomials is stated as follows.

Proposition 3.5. The nabla qh-polynomial (25) possesses the additive property.

xωq,h˜m+n=xωq,h˜mxωmhqmq,h˜n,m,nN0.E43

Proof: The proof is straightforward for m=0 or n=0 or both. For m,n>0, the m+nth power of the delta qh-polynomial (25) can be written as

xωq,h˜m+n=xωxωhqxωm1hqm1xωmhqmxωm+n1hqm+n1.E44

Note that the product of the first m terms is xωq,h˜m. The product of the last n terms is xωmhqmq,h˜n which is derived by replacing c by ωmhqm in (25).

Example 3.6. Let us illustrate the additivity rule. Let m=3, n=2, then

xωq,h˜5=xωq,h˜3xω3hq3q,h˜2=xωxωhqxω2hq2xω3hq3xω3hq3hq=xωxωhqxω2hq2xω3hq3xω4hq4.E45

  1. If h=0, then from (45) we have

    xωq,0˜5=xωq,0˜3xωq3q,0˜2=xωxq1ωxq2ωxq3ωxq4ω.E46

  2. If q=1, then (45) implies

xω1,h˜5=xω1,h˜3xω+3h1,h˜2=xωxω+hxω+2hxω+3hxω+4h.E47

The nabla qh-version of the celebrating Gauss’ Binomial formula is as follows:

Theorem 1.3. On Tqh1, the nabla qh-analog of Gauss’ Binomial formula can be presented in two equivalent forms

xωq,h˜m=j=0mmj1q0ωq,h˜mjx0q,h˜j=j=0mmj1q0ωq,h˜jx0q,h˜mj.E48

Proof: If we set fxxωq,h˜m, by the use of Proposition 3.4, we can calculate

D˜qhjf0=m1qm11qmj11q0ωq,h˜mj,0jm.E49

As a consequence of Theorem 1.2, we conclude that

xωq,h˜m=j=0mD˜qhjf0x0q,h˜jj1q!=j=0mmj1q0ωq,h˜mjx0q,h˜j.E50

For the second equivalent form, we use Proposition 2.9 (i) to rewrite

xωq,h˜m=j=0mmmj1q0ωq,h˜mjx0q,h˜j=k=0mmk1q0ωq,h˜kx0q,h˜mk,E51

where we used the index change k=mj.

Example 3.7. Consider m=3. Then one can compute

xωq,h˜3=j=033j1q0ωq,h˜3jx0q,h˜j=0ωq,h˜3+31q0ωq,h˜2x0q,h˜1+31q0ωq,h˜1x0q,h˜2+x0q,h˜3=xωxωhqxω2hq2.E52
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4. Delta generalized quantum polynomial

In this Section, we present delta qh-analog of the polynomial xωm on Tqh2 (7). Such polynomial satisfies the derivative rule with respect to the delta qh-derivative operator (13) and additive property. The results of this section are based on the articles [5] and [6].

Definition 4.1. We define the delta generalized quantum polynomial (or delta qh-polynomial) by

xωq,hm1ifn=0,j=1mxqj1ωj1hifmN,ωR.E53

Example 4.2. We can demonstrate the delta qh-polynomial (53) for m=3

xωq,h3=xωxhxq2ω2h.E54

  1. If we set h=13 and q=12, then 2=1+q32 from which (54) becomes

    xω12133=xωxω213xω412.E55

  2. If we set h=12 and q=1, then (54) yields as

    xω1133=xωxω12xω1.E56

  3. If we set h=0 and q=12, then (54) leads to

    xω12,0)3=xωxω2xω4.E57

Remark 4.3. We list the reductions of the delta qh-polynomial (53) as follows:

  1. T=Kq: The delta q-polynomial [8]

    xωq,0m=xωxxq2ωxqm1ω.E58

  2. T=hZ: The delta h-polynomial

    xω1,hm=xωxωhxω2hxωm1h.E59

  3. T=R: The ordinary polynomial (Figure 4)

    xω1,0m=xωm.E60

Figure 4.

Reductions of the delta generalized quantum polynomial (or delta qh-polynomial).

Proposition 4.4. The delta qh-polynomial (53) obeys the Leibnitz formula

Dqhjxωq,hm=mm1mj1xωq,hmj,1jm.E61

Proof: For j=1, the property (61) holds since

Dqhxωq,hm=qx+hωq,hmxωq,hmqx+hx=xωq,hm1qm1qx+hωxqm1ω+m1hq1x+h=xωq,hm1qm1x+qm1h+m1hq1x+h=xωq,hm1mq1x+mhq1x+h=mxωq,hm1.E62

The formula (61) yields by applying the delta qh-derivative to the delta qh-polynomial (53) j-times successively.

Proposition 4.5. The delta delta qh-polynomial (53) admits the additive identity

xωq,hm+n=xωq,hmxqmω+mhq,hn,m,nN0E63

Proof: The identity is trivial if m=0 or n=0 or both. If m,n>0 the definition of the delta qh-polynomial (53) allows us to write

xωq,hm+n=xωxhxqm1ωm1hxqmωmhxqm+n1ωm+n1h=xωq,hmxqmωmhxqm+1ωm+1hxqm+n1ωm+n1hE64

where the underbraced term is nothing but xqmω+mhq,hn which is obtained by replacing ω by qmω+mh in (53).

Example 4.6. Here we illustrate the additivity property. Let m=2, n=2, then

xωq,h4=xωq,h2xq2ω2hq,h2=xωxhxq2ω2hxqq2ω+2h+h=xωxhxq2ω2hxq3ω3h.E65

  1. If h=0, then from (65) we have

    xωq,04=xωq,02xq2ωq,02=xωxxq2ωxq3ω.E66

  2. If q=1, then (65) implies

    xω1,h4=xω1,h2xω2h1,h2=xωxωhxω2hxω3h.E67

Theorem 1.4. The delta qh-analogue of Taylor’s formula is given by

Qx=k=0MDqhkQωxωq,hkk!.E68

where Qx is a polynomial of degree M.

Proof: The proof is based on Theorem 1.1. Since delta qh-derivative operator is linear and the set 1xωq,h1xωq,h22!xωq,hMM! stands for a set of polynomials satisfying the properties of Theorem 1.1. Therefore, the proof finishes.

Theorem 1.5. On Tqh2, the delta qh-analog of the Gauss Binomial formula has the following equivalent forms

xωq,hm=k=0mmk0ωq,hmkx0q,hk=k=0mmk0ωq,hkx0q,hmk.E69

Proof: We choose fx=xωq,hm and employ Theorem 1.4 about ω=0 to obtain

xωq,hm=k=0mDqhkf0x0q,hkk!.E70

By Proposition 4.4, we derive

Dqhkf0=mm1mk10ωq,hmk,0km.E71

Therefore, (70) leads to the delta qh-Gauss Binomial formula

xωq,hm=k=0mmk0ωq,hmkx0q,hk.E72

Since mk=mmk, one can use the index change i=mk and end up with the second form

xωq,hm=k=0mmmk0ωq,hmkx0q,hk=i=0mmi0ωq,hix0q,hmi.E73

Example 4.7. Let m=3. We may calculate

xωq,h3=k=033k0ωq,h3kx0q,hk=0ωq,h3+30ωq,h2x0q,h1+30ωq,h1x0q,h2+x0q,h3=xwxqwhxq2w2h.E74
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5. Conclusions

We presented delta and nabla generalized quantum polynomials which are determined by the use of forward and backward shifts. We showed that such polynomials recover delta q-, delta h-, nabla q-, nabla h- and ordinary polynomials. We emphasize that the study on generalized quantum polynomials not only unify polynomials (and related subjects) on h-lattice sets, quantum numbers and on R but also create a paradigm on the theory of special functions (power functions [9], hypergeometric functions, Bernstein polynomials, Bernoulli polynomials, etc.) and combinatorics.

References

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  2. 2. Čermák J, Nechvátal L. On qh-analogue of fractional calculus. Journal of Nonlinear Mathematical Physics. 2010;17(1):51-68
  3. 3. Bohner M, Peterson A. Dynamic Equations on Time Scales. Boston, USA: Birkhauser; 2001
  4. 4. Bohner M, Peterson A. Advances in Dynamic Equations on Time Scales. Boston, USA: Birkhauser; 2003
  5. 5. Silindir B, Yantir A. Generalized quantum exponential function and its applications. Univerzitet u Nišu. 2019;33(15):907-4922
  6. 6. Silindir B, Yantir A. Gauss’s binomial formula and additive property of exponential functions on Tqh. Univerzitet u Nišu. 2021;35(11):3855-3877
  7. 7. Yantir A, Silindir B, Tuncer Z. Bessel equation and Bessel function on Tqh. Turkish Journal of Mathematics. 2022;(46)8:3300-3322
  8. 8. Kac V, Cheung P. Quantum Calculus. New York: Springer; 2002
  9. 9. Gergün S, Silindir B, Yantir A. Power function and Binomial series on Tqh. Advanced Mathematics in Science and Engineering. 2022

Written By

Burcu Silindir and Ahmet Yantir

Submitted: 12 December 2022 Reviewed: 17 December 2022 Published: 30 January 2023