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. 2017 Jun 24;2017(1):150. doi: 10.1186/s13660-017-1427-7

Fourier series of higher-order Daehee and Changhee functions and their applications

Dongkyu Lim 1,
PMCID: PMC5487946  PMID: 28680253

Abstract

In the paper, the author considers the Fourier series related to higher-order Daehee and Changhee functions and establishes some new identities for higher-order Daehee and Changhee functions.

Keywords: Fourier series, Daehee polynomials, Changhee polynomials, Bernoulli functions, Daehee functions, Changhee functions

Introduction and main results

It is common knowledge that the Bernoulli polynomials Bn(x) and the Euler polynomials En(x) for n0 can be generated by

tet1ext=n=0Bn(x)tnn!

and

2et+1ext=n=0En(x)tnn!,

respectively (see [123]).

With the viewpoint of deformed Bernoulli polynomials, the Daehee polynomials Dn(x) for n0 are defined by the generating function to be

log(1+t)t(1+t)x=n=0Dn(x)tnn!. 1

It is easy to see that the generating function of the Daehee polynomials Dn(x) can be reformed as

log(1+t)t(1+t)x=log(1+t)elog(1+t)1exlog(1+t).

From (1), we note that

log(1+t)elog(1+t)1exlog(1+t)=n=0Bn(x)1n!(log(1+t))n=n=0Bn(x)m=nS1(m,n)tmm!=m=0(n=0mBn(x)S1(m,n))tmm!, 2

where S1(m,n) stands for the Stirling number of the first kind which is defined as

(x)0=1,(x)n=x(x1)(xn+1)=l=0nS1(n,l)xl(n1).

Combining (1) with (2) yields the following relation:

Dm(x)=n=0mBn(x)S1(m,n)(m0).

By replacing t by et1 in (1), we can derive

n=0Bn(x)tnn!=tet1ext=m=0Dm(x)1m!(et1)m=m=0Dm(x)n=mS2(n,m)tnn!=n=0(m=0nDn(x)S2(n,m))tnn!, 3

where S2(n,m) is the Stirling number of the second kind which is given by xn=l=0S2(n,l)(x)l (n0).

Comparing the coefficients on the both sides of (3), we obtain

Bn(x)=m=0nDm(x)S2(n,m)(n0).

Also, with the viewpoint of deformed Euler polynomials, the Changhee polynomials Chn(x) for n0 are defined by the generating function to be

22+t(1+t)x=n=0Chn(x)tnn!. 4

Definition (4) can be written as

2elog(1+t)+1exlog(1+t)=n=0En(x)1n!(log(1+t))n=n=0En(x)m=nS1(m,n)tmm!=m=0(n=0mEn(x)S1(m,n))tmm!.

Combination of this identity with (4) results in the following relation:

Chm(x)=n=0mEn(x)S1(m,n)(m0).

Now replacing t by et1 in (4), we have

n=0En(x)tnn!=2et+1ext=m=0Chm(x)1m!(et1)m=m=0Chm(x)n=mS2(n,m)tnn!=n=0(m=0nChn(x)S2(n,m))tnn!.

Equating coefficients on the very ends of the above identity leads to

En(x)=m=0nChm(x)S2(n,m)(n0).

In recent decades, many mathematicians have investigated some interesting extensions or modifications of the Daehee and Changhee polynomials along with related combinatorial identities and their applications (see [4, 9, 10, 14, 16, 17, 19, 23]). Especially, Kim and his coauthors have studied the Fourier series related to various types of Bernoulli functions in [7, 1113, 15]. The purpose of this paper is to study the Fourier series related to higher-order Daehee and Changhee functions and establish some new identities for higher-order Daehee and Changhee functions.

For any real number x, we define

x=x[x](0,1),

where [x] is the integer part of x. Then Dn(x) are functions defined on (,) and periodic with period 1, which are called Daehee functions.

For rN and n0, we note that the higher-order Daehee polynomials Dn(r)(x) and the higher-order Changhee polynomials Chn(r)(x) may also be represented by the following generating function:

(log(1+t)t)r(1+t)x=n=0Dn(r)(x)tnn! 5

and

(22+t)r(1+t)x=n=0Chn(r)(x)tnn!, 6

respectively (see [4, 10, 14]). When x=0, Dn(r)=Dn(r)(0) are called the higher-order Daehee numbers and Chn(r)=Chn(r)(0) are called the higher-order Changhee numbers. And it is easy to see that

Dn(1)(x)=Dn(x),Chn(1)(x)=Chn(x).

Then Dn(r)(x) and Chn(r)(x) are functions defined on (,) and periodic of period 1, which are called Daehee functions of order r and Changhee functions of order r, respectively.

Recall from [15, 24] that the Bernoulli function may be represented by

Bm(x)=m!n=n0e2πinx(2πin)m(m2) 7

and

m!n=n0e2πinx(2πin)m={B1(x)for xZ,0for xZ. 8

The Fourier series expansion of the Bernoulli functions is useful in computing the special values of the Dirichlet L-functions. For details, one is referred to [24].

Our main results in this paper can be stated as the following theorems.

Theorem 1

Let m2, r1. Assume that Dm1(r)=0.

  1. Dm(r)(x) has the Fourier series expansion
    Dm(r)(x)=Dm(r)n=n0(k=1m(m)k(2πin)kDmk(r))e2πinx
    for x(,). Here the convergence is uniform.
  2. Dm(r)(x)=k=0k1m(mk)Dm1(r)Bk(x), for all x(,), where Bk(x) is the Bernoulli function.

Theorem 2

Let m2, r1. Assume that Dm1(r)0.

  1. Dm(r)n=n0(k=1m(m)k(2πin)kDmk(r))e2πinx={Dm(r)(x)for xZ,Dm(r)+m2Dm1(r)for xZ.
    Here the convergence is pointwise.
  2. k=0m(mk)Dmk(r)Bk(x)=Dm(r)(x)for xZ
    and
    k=0k1m(mk)Dmk(r)Bk(x)=Dm(r)+m2Dm1(r)for xZ,
    where Bk(x) is the Bernoulli function.

Theorem 3

Let m2, r1. Assume that Chm(r)=Chm(r1).

  1. Chm(r)(x) has the Fourier series expansion
    Chm(r)(x)=2m+1(Chm+1(r1)Chm+1(r))+n=n0(k=1m2(m)k1(2πin)k(Chmk+1(r)Chmk+1(r1)))e2πinx
    for x(,). Here the convergence is uniform.
  2. Chm(r)(x)=2m+1(Chm+1(r)Chm+1(r))+k=1m2(m)k1k!(Chmk+1(r1)Chm+1(r))Bk(x)for xZ
    and
    Chm(r)(x)=2m+1(Chm+1(r1)Chmk+1(r))+k=2m2(m)k1k!(Chmk+1(r1)Chm+1(r))Bk(x)for xZ,
    where Bk(x) is the Bernoulli function.

Theorem 4

Let m1, r1. Assume that Chm(r)Chm(r1).

  1. 2m+1(Chm+1(r1)Chm+1(r))+n=n0(k=1n(m)k1(2πin)k(Chmk+1(r)Chmk+1(r1)))e2πinx={Chm(r)(x)for xZ,Chm(r1)for xZ.
    Here the convergence is pointwise.
  2. 2m+1(Chm+1(r1)Chm+1(r))+k=1m2(m)k1k!(Chmk+1(r1)Chmk+1(r))Bk(x)=Chm(r)(x)for xZ
    and
    2m+1(Chm+1(r1)Chm+1(r))+k=2m2(m)k1k!(Chmk+1(r1)Chmk+1(r))Bk(x)=Chm(r1)(x)for xZ,
    where Bk(x) is the Bernoulli function.

Proofs of Theorems 1-4

We are now in a position to prove our four theorems.

By analyzing definition (5), we have

Dm(r)(x+1)=Dm(r)(x)+mDm1(r)(x)(m0).

Furthermore, we observe that

m=0Dm(r)(x)tmm!=(log(1+t)t)r(1+t)x+1=(log(1+t)t)r(1+t)x+(log(1+t)t)r(1+t)xt=m=0Dm(r)(x)tmm!+m=0Dm(r)(x)tm+1m!=m=0(Dm(r)(x)+mDm1(r)(x))tmm!.

Letting x=0 in the above equation leads to

Dm(r)(1)=Dm(r)+mDm1(r)(m0).

Now, we assume that m,r1. Dm(r)(x) is piecewise C. Further, in view of (2), Dm(r)(x) is continuous for those (r,m) with Dm1(r)=0, and is discontinuous with jump discontinuities at integers for those (r,m) with Dm1(r)0. The Fourier series of Dm(r)(x) may be represented by

n=Cn(r,m)e2πinx(i=1),

where

Cn(r,m)=01Dm(r)(x)e2πinxdx=01Dm(r)(x)e2πinxdx=[1m+1Dm+1(r)(x)e2πinx]01+2πinm+101Dm+1(r)(x)e2πinxdx=1m+1(Dm+1(r)(1)Dm+1(r))+2πinm+1Cn(r,m+1)=Dm(r)+2πinm+1Cn(r,m+1). 9

Replacing m by m1 in (9), we arrive at the following result:

Cn(r,m1)=Dm1(r)+2πinmCn(r,m).

Case 1

Let n0. Then we acquire that

Cn(r,m)=m2πinCn(r,m1)m2πinDm1(r)=m2πin(m12πinCn(r,m2)m12πinDm2(r))m2πinDm1(r)=m(m1)(2πin)2Cn(r,m2)m(m1)(2πin)2Dm2(r)m2πinDm1(r)=m(m1)(2πin)2(m22πinCn(r,m3)m22πinDm3(r))m(m1)(2πin)2Dm2(r)m2πinDm1(r)=m(m1)(m2)(2πin)2Cn(r,m3)m(m1)(m2)(2πin)3Dm3(r)m(m1)(2πin)2Dm2(r)m2πinDm1(r)==m(m1)(m2)2(2πin)m1Cn(r,1)k=1m1(m)k(2πin)kDmk(r). 10

Moreover, we observe that

Cn(r,1)=01D1(r)(x)e2πinxdx=01(x+D1(r))e2πinxdx=01xe2πinxdx+D1(r)01e2πinxdx=12πin[xe2πinx]01+12πin01e2πinxdx=12πin. 11

Combining (11) with (10), we immediately derive the following equation:

Cn(r,m)=m!(2πin)mk=1m1(m)k(2πin)kDmk(r)=k=1m(m)k(2πin)kDmk(r).

Case 2

Let n=0. Then we have

C0(r,m)=01Dm(r)(x)dx=01Dm(r)(x)dx=1m+1[Dm+1(r)(x)]01=1m+1(Dm+1(r)(1)Dm+1(r))=Dm(r).

While that in (8) converges pointwise, the series in (7) converges uniformly. We assume that Dm1(r)=0. Then we have Dm(r)(1)=Dm(r) for m2. As Dm(r)(x) is piecewise C and continuous, the Fourier series of Dm(r)(x) converges uniformly to Dm(r)(x) and

Dm(r)(x)=n=Cn(r,m)e2πinx=Dm(r)n=n0(k=1m(m)k(2πin)kDmk(r))e2πinx=Dm(r)+k=1m(m)kk!Dmk(r)(k!n=n0e2πinx(2πin)k)=Dm(r)+k=2m(mk)Dmk(r)Bk(x)+(m1)Dm1(r)×{B1(x)for xZ,0for xZ={k=0m(mk)Dm1(r)Bk(x)for xZ,k=0k1m(mk)Dm1(r)Bk(x)for xZ. 12

Note that (12) holds whether Dm1(r)=0 or not. However, if Dm1(r1)=0, then

Dm(r)(x)=k=0k1m(mk)Dm1(r)Bk(x)for all x(,).

Therefore, we obtain the result in Theorem 1.

Assume next that Dm1(r)0. Then we have Dm(r)(1)Dm(r) and hence Dm(r)(x) is piecewise C and discontinuous with jump discontinuities at integers. Thus the Fourier series of Dm(r)(x) converges pointwise to Dm(r)(x) for xZ, and converges to 12(Dm(r)+Dm(r)(1))=Dm(r)+(m/2)Dm1(r) for xZ. Finally, we obtain the formulas in Theorem 2.

From now on we focus on definition (6). Then we can find

Chm(r)(x+1)+Chm(r)(x)=2Chm(r1)(x). 13

In other words,

m=0Chm(r)(x+1)tmm!=(22+t)r(1+t)x+1=2(22+t)r1(1+t)x(22+t)r(1+t)x=2m=0Chm(r1)(x)tmm!m=0Chm(r)(x)tmm!=m=0[2Chm(r1)(x)Chm(r)(x)]tmm!.

Taking x=0 in (13) yields

Chm(r)(1)+Chm(r)=2Chm(r1)(m0).

This equation means that

Chm(r)=Chm(r)(1)Chm(r)=Chm(r1).

Assume that m1 and r1 Chm(r)(x) is piecewise C. In addition, Chm(r)(x) is continuous for those (r,m) with Chm(r)=Chm(r1) and discontinuous with jump discontinuities at integers for those (r,m) with Chm(r)Chm(r1). The Fourier series of Chm(r)(x) is

n=Cn(r,m)e2πinx.

Here

Cn(r,m)=01Chm(r)(x)e2πinxdx=01Chm(r)(x)e2πinxdx=1m+1[Chm+1(r)(x)e2πinx]01+2πinm+101Chm+1(r)(x)e2πinxdx=1m+1(Chm+1(r)(1)Chm+1(r))+2πinm+1Cn(r,m+1)=2m+1(Chm+1(r1)Chm+1(r))+2πinm+1Cn(r,m+1). 14

By virtue of replacing m by m1 in (14), we can find

2πinmCn(r,m)=Cn(r,m1)+2m(Chm(r1)+Chm(r)).

Case 1

Let n0. Then we acquire that

Cn(r,m)=m2πinCn(r,m1)+1πin(Chm(r)Chm(r1))=m2πin(m12πinCn(r,m2)1πin(Chm1(r)Chm1(r1)))+1πin(Chm(r)Chm(r1))=m(m1)(2πin)2Cn(r,m2)+m2(πin)2(Chm1(r)Chm1(r1))+1πin(Chm(r)Chm(r1))=m(m1)(2πin)2(m22πinCn(r,m3)1πin(Chm2(r)Chm2(r1)))+m2(πin)2(Chm1(r)Chm1(r1))+1πin(Chm(r)Chm(r1))=m(m1)(m2)(2πin)3Cn(r,m3)+m(m1)22(πin)3(Chm2(r)Chm2(r1))+m2(πin)2(Chm1(r)Chm1(r1))+1πin(Chm(r)Chm(r1))==m!(2πin)m1Cn(r,1)+k=1m12(m)k(2πin)k(Chmk+1(r)Chmk+1(r1)).

In addition, we observe that

Cn(r,1)=01Ch1(r)(x)e2πinxdx=01(x+Ch1(r))e2πinxdx=01xe2πinxdx+Ch1(r)01e2πinxdx=12πin[xe2πinx]01+12πin01e2πinxdx=12πin.

Therefore, we can derive the following equation:

Cn(r,m)=m!(2πin)m+k=1m12(m)k1(2πin)k(Chmk+1(r)Chmk+1(r1))=k=1m2(m)k1(2πin)k(Chmk+1(r)Chmk+1(r1)).

Here, we used the fact that

Ch1(r)Ch1(r1)=rCh1(r1)Ch1=Ch1=12.

Indeed,

n=0Chn(r)tnn!=(22+t)××(22+t)=n=0(l1++lr=n(nl1,l2,,lr)Chl1Chl2Chlr)tnn!.

Accordingly, it follows that

Ch1(r)=l1++lr=1(1l1,l2,,lr)Chl1Chl2Chlr=Ch1+Ch1++Ch1=rCh1.

Case 2

Let n=0. Then we have

C0(r,m)=01Chm(r)(x)dx=1m+1[Chm+1(r)(1)Chm+1(r)]01=2m+1(Chm+1(r1)Chm+1(r)).

Assume first that Chm(r)(1)=Chm(r). Then we have Chm(r)(1)=Chm(r) for m2. Chm(r)(x) is piecewise C and continuous. Hence the Fourier series of Chm(r)(x) converges uniformly to Chm(r)(x), and

Chm(r)(x)=2m+1(Chm+1(r1)Chm+1(r))+n=n0[k=1m2(m)k1(2πin)k(Chmk+1(r)Chmk+1(r1))]e2πinx.

Consequently, it follows that

Chm(r)(x)=2m+1(Chm+1(r1)Chm+1(r))+k=1m2(m)k1k!(Chmk+1(r1)Chmk+1(r))n=n0(k!)e2πinx(2πin)k=2m+1(Chm+1(r1)Chm+1(r))+k=2m2(m)k1k!(Chmk+1(r1)Chmk+1(r))Bk(x)+2(Chm(r1)Chm(r))×{B1(x)for xZ,0for xZ.

Thus the proof of Theorem 3 is complete.

Finally, assume that Chm(r)Chm(r1). Then we have Chm(r)(1)Chm(r) and hence Chm(r)(x) is piecewise C and discontinuous with jump discontinuities at integers. Thus the Fourier series of Chm(r)(x) converges pointwise to Chm(r)(x) for xZ, and converges to 12(Chm(r)+Chm(r)(1))=Chm(r1) for xZ. From the above considerations, the proof of Theorem 4 is complete.

Conclusions

In this paper, the author considered the Fourier series expansion of the higher-order Daehee functions Dn(r)(x) and the higher-order Changhee functions Chn(r)(x) which are obtained by extending by periodicity of period 1 the higher-order Daehee polynomials Dn(r)(x) and the higher-order Changhee polynomials Chn(r)(x) on [0,1), respectively. The Fourier series are explicitly determined. Depending on whether Dn(r)(x) and Chn(r)(x) are zero or not, the Fourier series of these functions converge uniformly or converge pointwise. In addition, the Fourier series of the higher-order Daehee functions Dn(r)(x) and the higher-order Changhee functions Chn(r)(x) are expressed in terms of the Bernoulli functions Bk(x). Thus we established the relations between these functions and Bernoulli functions.

Acknowledgements

The author wishes to express his sincere gratitude to the referees for their valuable suggestions and comments. This work is supported by China Postdoctoral Science Foundation (2016M591379).

Footnotes

Competing interests

The author declares that he has no competing interests.

Author’s contributions

The author carried out all work of this article and the main theorem. The author read and approved the final manuscript.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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