Bernoulli polynomials explained

In mathematics, the Bernoulli polynomials, named after Jacob Bernoulli, combine the Bernoulli numbers and binomial coefficients. They are used for series expansion of functions, and with the Euler–MacLaurin formula.

These polynomials occur in the study of many special functions and, in particular, the Riemann zeta function and the Hurwitz zeta function. They are an Appell sequence (i.e. a Sheffer sequence for the ordinary derivative operator). For the Bernoulli polynomials, the number of crossings of the x-axis in the unit interval does not go up with the degree. In the limit of large degree, they approach, when appropriately scaled, the sine and cosine functions.

A similar set of polynomials, based on a generating function, is the family of Euler polynomials.

Representations

The Bernoulli polynomials Bn can be defined by a generating function. They also admit a variety of derived representations.

Generating functions

The generating function for the Bernoulli polynomials is\frac= \sum_^\infty B_n(x) \frac.The generating function for the Euler polynomials is\frac= \sum_^\infty E_n(x) \frac.

Explicit formula

B_n(x) = \sum_^n B_ x^k,E_m(x)=\sum_^m \frac\left(x-\tfrac12\right)^ .for n ≥ 0, where Bk are the Bernoulli numbers, and Ek are the Euler numbers.

Representation by a differential operator

The Bernoulli polynomials are also given byB_n(x) = \frac x^nwhere D = d/dx is differentiation with respect to x and the fraction is expanded as a formal power series. It follows that \int_a^x B_n (u)\,du = \frac.cf. below. By the same token, the Euler polynomials are given by E_n(x) = \frac x^n.

Representation by an integral operator

The Bernoulli polynomials are also the unique polynomials determined by\int_x^ B_n(u)\,du = x^n.

The integral transform(Tf)(x) = \int_x^ f(u)\,duon polynomials f, simply amounts to \begin(Tf)(x) = f(x) & = \sum_^\infty f(x) \\& = f(x) + + + + \cdots .\endThis can be used to produce the inversion formulae below.

Integral Recurrence

In,[1] [2] it is deduced and proved that the Bernoulli polynomials can be obtained by the following integral recurrenceB_(x)=m \int_^ B_(t)\,dt-m\int_^ \int_0^t B_(s)\,ds dt.

Another explicit formula

An explicit formula for the Bernoulli polynomials is given byB_n(x) = \sum_^n \biggl[\frac{1}{k + 1} \sum_{\ell=0}^k (-1)^\ell { k \choose \ell } (x + \ell)^n \biggr].

That is similar to the series expression for the Hurwitz zeta function in the complex plane. Indeed, there is the relationshipB_n(x) = -n \zeta(1 - n,\,x)where

\zeta(s,q)

is the Hurwitz zeta function. The latter generalizes the Bernoulli polynomials, allowing for non-integer values

The inner sum may be understood to be the th forward difference of

xm,

that is,\Delta^n x^m = \sum_^n (-1)^(x + k)^mwhere

\Delta

is the forward difference operator. Thus, one may writeB_n(x) = \sum_^n \frac\Delta^k x^n.

This formula may be derived from an identity appearing above as follows. Since the forward difference operator equals\Delta = e^D - 1where is differentiation with respect to, we have, from the Mercator series,\frac = \frac = \sum_^\infty \frac.

As long as this operates on an th-degree polynomial such as

xm,

one may let go from only up

An integral representation for the Bernoulli polynomials is given by the Nörlund–Rice integral, which follows from the expression as a finite difference.

An explicit formula for the Euler polynomials is given byE_n(x) = \sum_^n \left[\frac{1}{2^k}\sum_{\ell=0}^n (-1)^\ell {k \choose \ell}(x + \ell)^n \right] .

The above follows analogously, using the fact that\frac = \frac = \sum_^\infty \bigl(\Delta \bigr)^n .

Sums of pth powers

See main article: Faulhaber's formula.

Using either the above integral representation of

xn

or the identity

Bn(x+1)-Bn(x)=nxn-1

, we have\sum_^x k^p = \int_0^ B_p(t) \, dt = \frac (assuming 00 = 1).

Explicit expressions for low degrees

The first few Bernoulli polynomials are:\beginB_0(x) & = 1, &B_4(x) & = x^4 - 2x^3 + x^2 - \tfrac,\\[4mu]B_1(x) & = x - \tfrac, &B_5(x) & = x^5 - \tfracx^4 + \tfracx^3 - \tfracx,\\[4mu]B_2(x) & = x^2 - x + \tfrac, &B_6(x) & = x^6 - 3x^5 + \tfracx^4 - \tfracx^2 + \tfrac,\\[-2mu]B_3(x) & = x^3 - \tfracx^2 + \tfracx \vphantom\Big|,\qquad & &\ \,\, \vdots\end

The first few Euler polynomials are:\beginE_0(x) & = 1, &E_4(x) & = x^4 - 2x^3 + x,\\[4mu]E_1(x) & = x - \tfrac, &E_5(x) & = x^5 - \tfracx^4 + \tfracx^2 - \tfrac,\\[4mu]E_2(x) & = x^2 - x, &E_6(x) & = x^6 - 3x^5 + 5x^3 - 3x,\\[-1mu]E_3(x) & = x^3 - \tfracx^2 + \tfrac,\qquad \ \ & &\ \,\, \vdots\end

Maximum and minimum

At higher the amount of variation in

Bn(x)

between

x=0

and

x=1

gets large. For instance,

B16(0)=B16(1)={}

-\tfrac{3617}{510}-7.09,

but

B16l(\tfrac12r)={}

\tfrac{118518239}{3342336}7.09.

showed that the maximum value of

Bn(x)

between and obeysM_n < \fracunless is in which caseM_n = \frac(where

\zeta(x)

is the Riemann zeta function), while the minimum obeysm_n > \fracunless in which casem_n = \frac.

These limits are quite close to the actual maximum and minimum, and Lehmer gives more accurate limits as well.

Differences and derivatives

The Bernoulli and Euler polynomials obey many relations from umbral calculus:\begin\Delta B_n(x) &= B_n(x+1)-B_n(x)=nx^, \\[3mu]\Delta E_n(x) &= E_n(x+1)-E_n(x)=2(x^n-E_n(x)).\end(is the forward difference operator). Also, E_n(x+1) + E_n(x) = 2x^n.These polynomial sequences are Appell sequences:\beginB_n'(x) &= n B_(x), \\[3mu]E_n'(x) &= n E_(x).\end

Translations

\beginB_n(x+y) &= \sum_^n B_k(x) y^ \\[3mu]E_n(x+y) &= \sum_^n E_k(x) y^\endThese identities are also equivalent to saying that these polynomial sequences are Appell sequences. (Hermite polynomials are another example.)

Symmetries

\beginB_n(1-x) &= \left(-1\right)^n B_n(x), && n \ge 0, \\[3mu]E_n(1-x) &= \left(-1\right)^n E_n(x) \\[1ex]\left(-1\right)^n B_n(-x) &= B_n(x) + nx^ \\[3mu]\left(-1\right)^n E_n(-x) &= -E_n(x) + 2x^n \\[1ex]B_n\bigl(\tfrac12\bigr) &= \left(\frac-1\right) B_n, && n \geq 0\text\end Zhi-Wei Sun and Hao Pan [3] established the following surprising symmetry relation: If and, thenr[s,t;x,y]_n+s[t,r;y,z]_n+t[r,s;z,x]_n=0,where[s,t;x,y]_n=\sum_^n(-1)^k B_(x)B_k(y).

Fourier series

The Fourier series of the Bernoulli polynomials is also a Dirichlet series, given by the expansionB_n(x) = -\frac\sum_\frac= -2 n! \sum_^ \frac.Note the simple large n limit to suitably scaled trigonometric functions.

This is a special case of the analogous form for the Hurwitz zeta functionB_n(x) = -\Gamma(n+1) \sum_^\infty \frac .

This expansion is valid only for when and is valid for when .

The Fourier series of the Euler polynomials may also be calculated. Defining the functions\beginC_\nu(x) &= \sum_^\infty \frac \\[3mu]S_\nu(x) &= \sum_^\infty \frac \endfor

\nu>1

, the Euler polynomial has the Fourier series\beginC_(x) &= \frac \pi^ E_ (x) \\[1ex]S_(x) &= \frac \pi^ E_ (x).\endNote that the

C\nu

and

S\nu

are odd and even, respectively:\beginC_\nu(x) &= -C_\nu(1-x) \\S_\nu(x) &= S_\nu(1-x).\end

\chi\nu

as\beginC_\nu(x) &= \operatorname \chi_\nu (e^) \\S_\nu(x) &= \operatorname \chi_\nu (e^).\end

Inversion

The Bernoulli and Euler polynomials may be inverted to express the monomial in terms of the polynomials.

Specifically, evidently from the above section on integral operators, it follows that x^n = \frac \sum_^n B_k (x)andx^n = E_n (x) + \frac \sum_^ E_k (x).

Relation to falling factorial

(x)k

asB_(x) = B_ + \sum_^n\frac\left\(x)_ where

Bn=Bn(0)

and\left\ = S(n,k)denotes the Stirling number of the second kind. The above may be inverted to express the falling factorial in terms of the Bernoulli polynomials:(x)_ = \sum_^n\frac\left[\begin{matrix} n \\ k \end{matrix} \right]\left(B_(x) - B_ \right) where\left[\begin{matrix} n \\ k \end{matrix} \right] = s(n,k)denotes the Stirling number of the first kind.

Multiplication theorems

The multiplication theorems were given by Joseph Ludwig Raabe in 1851:

For a natural number,B_n(mx)= m^ \sum_^ B_n\beginE_n(mx) &= m^n \sum_^ \left(-1\right)^k E_n & \text m \\[1ex]E_n(mx) &= \frac m^n \sum_^ \left(-1\right)^k B_ & \text m\end

Integrals

Two definite integrals relating the Bernoulli and Euler polynomials to the Bernoulli and Euler numbers are:[4]

1
\int
0

Bn(t)Bm(t)dt=(-1)n-1

m!n!
(m+n)!

Bn+mform,n\geq1

1
\int
0

En(t)Em(t)dt=(-1)n4(2m+n+2-1)

m!n!
(m+n+2)!

Bn+m+2

Another integral formula states[5]

1
\int
0

En\left(x+y\right)log(\tan

\pi
2

x)dx=n!

\left\lfloorn+1
2\right\rfloor
\sum
k=1
(-1)k-1
\pi2k

\left(2-2-2k\right)\zeta(2k+1)

yn+1-2k
(n+1-2k)!
with the special case for

y=0

1
\int
0

E2n-1\left(x\right)log(\tan

\pix)dx=
2
(-1)n-1(2n-1)!
\pi2n

\left(2-2-2n\right)\zeta(2n+1)

1
\int
0

B2n-1\left(x\right)log(\tan

\pix)dx=
2
(-1)n-1
\pi2n
22n-2
(2n-1)!
n
\sum
k=1

(22k+1-1)\zeta(2k+1)\zeta(2n-2k)

1
\int
0

E2n\left(x\right)log(\tan

\pi
2
1
x)dx=\int
0

B2n\left(x\right)log(\tan

\pi
2

x)dx=0

1
\int
0

{{{B}2n-1

}\left(x \right)\cot \left(\pi x \right)dx}=\frac\zeta \left(2n-1 \right)

Periodic Bernoulli polynomials

A periodic Bernoulli polynomial is a Bernoulli polynomial evaluated at the fractional part of the argument . These functions are used to provide the remainder term in the Euler–Maclaurin formula relating sums to integrals. The first polynomial is a sawtooth function.

Strictly these functions are not polynomials at all and more properly should be termed the periodic Bernoulli functions, and is not even a function, being the derivative of a sawtooth and so a Dirac comb.

The following properties are of interest, valid for all

x

:

Pk(x)

is continuous for all

k>1

Pk'(x)

exists and is continuous for

k>2

P'k(x)=kPk-1(x)

for

k>2

See also

References

External links

Notes and References

  1. Hurtado Benavides, Miguel Ángel. (2020). De las sumas de potencias a las sucesiones de Appell y su caracterización a través de funcionales. [Tesis de maestría]. Universidad Sergio Arboleda. https://repository.usergioarboleda.edu.co/handle/11232/174
  2. Sergio A. Carrillo; Miguel Hurtado. Appell and Sheffer sequences: on their characterizations through functionals and examples. Comptes Rendus. Mathématique, Tome 359 (2021) no. 2, pp. 205-217. doi : 10.5802/crmath.172. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.172/
  3. Zhi-Wei Sun . Hao Pan . Acta Arithmetica . 125 . 2006 . 21–39 . Identities concerning Bernoulli and Euler polynomials . 1 . math/0409035 . 10.4064/aa125-1-3. 2006AcAri.125...21S . 10841415 .
  4. amp . Takashi Agoh . Karl Dilcher . Journal of Mathematical Analysis and Applications . 381 . 2011 . 10–16 . Integrals of products of Bernoulli polynomials . 10.1016/j.jmaa.2011.03.061 . free .
  5. Elaissaoui, Lahoucine . Guennoun, Zine El Abidine . amp . Evaluation of log-tangent integrals by series involving ζ(2n+1). Integral Transforms and Special Functions . English . 2017. 28 . 6 . 460–475 . 10.1080/10652469.2017.1312366 . 1611.01274 . 119132354 .