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Faulhaber's formula
In mathematics, Faulhaber's formula, named after the early 17th century mathematician Johann Faulhaber, expresses the sum of the p-th powers of the first n positive integers as a polynomial in n. In modern notation, Faulhaber's formula is Here, is the binomial coefficient "p + 1 choose r", and the Bj are the Bernoulli numbers with the convention that.
The result: Faulhaber's formula
Faulhaber's formula concerns expressing the sum of the p-th powers of the first n positive integers as a (p + 1)th-degree polynomial function of n. The first few examples are well known. For p = 0, we have For p = 1, we have the triangular numbers For p = 2, we have the square pyramidal numbers The coefficients of Faulhaber's formula in its general form involve the Bernoulli numbers Bj. The Bernoulli numbers begin where here we use the convention that. The Bernoulli numbers have various definitions (see Bernoulli number), such as that they are the coefficients of the exponential generating function Then Faulhaber's formula is that Here, the Bj are the Bernoulli numbers as above, and is the binomial coefficient "p + 1 choose k".
Examples
So, for example, one has for p = 4 , The first seven examples of Faulhaber's formula are
History
Ancient period
The history of the problem begins in antiquity and coincides with that of some of its special cases. The case p = 1 coincides with that of the calculation of the arithmetic series, the sum of the first n values of an arithmetic progression. This problem is quite simple but the case already known by the Pythagorean school for its connection with triangular numbers is historically interesting: For m> 1, the first cases encountered in the history of mathematics are: L'insieme of the cases, to which the two preceding polynomials belong, constitutes the classical problem of powers of successive integers.
Middle period
Over time, many other mathematicians became interested in the problem and made various contributions to its solution. These include Aryabhata, Al-Karaji, Ibn al-Haytham, Thomas Harriot, Johann Faulhaber, Pierre de Fermat and Blaise Pascal who recursively solved the problem of the sum of powers of successive integers by considering an identity that allowed to obtain a polynomial of degree m + 1 already knowing the previous ones. Faulhaber's formula is also called Bernoulli's formula. Faulhaber did not know the properties of the coefficients later discovered by Bernoulli. Rather, he knew at least the first 17 cases, as well as the existence of the Faulhaber polynomials for odd powers described below. In 1713, Jacob Bernoulli published under the title Summae Potestatum an expression of the sum of the p powers of the n first integers as a ( p + 1 )th-degree polynomial function of n , with coefficients involving numbers Bj , now called Bernoulli numbers: Introducing also the first two Bernoulli numbers (which Bernoulli did not), the previous formula becomes using the Bernoulli number of the second kind for which, or using the Bernoulli number of the first kind for which A rigorous proof of these formulas and Faulhaber's assertion that such formulas would exist for all odd powers took until, two centuries later. Jacobi benefited from the progress of mathematical analysis using the development in infinite series of an exponential function generating Bernoulli numbers.
Modern period
In 1982 A.W.F. Edwards publishes an article in which he shows that Pascal's identity can be expressed by means of triangular matrices containing the Pascal's triangle deprived of 'last element of each line: The example is limited by the choice of a fifth order matrix but is easily extendable to higher orders. The equation can be written as: and multiplying the two sides of the equation to the left by A^{-1}, inverse of the matrix A, we obtain which allows to arrive directly at the polynomial coefficients without directly using the Bernoulli numbers. Other authors after Edwards dealing with various aspects of the power sum problem take the matrix path and studying aspects of the problem in their articles useful tools such as the Vandermonde vector. Other researchers continue to explore through the traditional analytic route and generalize the problem of the sum of successive integers to any geometric progression
Proof with exponential generating function
Let denote the sum under consideration for integer p\ge 0. Define the following exponential generating function with (initially) indeterminate z We find This is an entire function in z so that z can be taken to be any complex number. We next recall the exponential generating function for the Bernoulli polynomials B_j(x) where B_j=B_j(0) denotes the Bernoulli number with the convention. This may be converted to a generating function with the convention by the addition of j to the coefficient of x^{j-1} in each B_j(x), see Bernoulli polynomials for example. B_0 does not need to be changed. so that It follows that for all p.
Faulhaber polynomials
The term Faulhaber polynomials is used by some authors to refer to another polynomial sequence related to that given above. Write Faulhaber observed that if p is odd then is a polynomial function of a. For p = 1, it is clear that For p = 3, the result that is known as Nicomachus's theorem. Further, we have (see, , , , ). More generally, Some authors call the polynomials in a on the right-hand sides of these identities Faulhaber polynomials. These polynomials are divisible by a2 because the Bernoulli number Bj is 0 for odd j > 1 . Inversely, writing for simplicity, we have and generally Faulhaber also knew that if a sum for an odd power is given by then the sum for the even power just below is given by Note that the polynomial in parentheses is the derivative of the polynomial above with respect to a. Since a = n(n + 1)/2, these formulae show that for an odd power (greater than 1), the sum is a polynomial in n having factors n2 and (n + 1)2, while for an even power the polynomial has factors n, n + 1/2 and n + 1.
Expressing products of power sums as linear combinations of power sums
Products of two (and thus by iteration, several) power sums can be written as linear combinations of power sums with either all degrees even or all degrees odd, depending on the total degree of the product as a polynomial in n, e.g.. Note that the sums of coefficients must be equal on both sides, as can be seen by putting n=1, which makes all the s_j equal to 1. Some general formulae include: Note that in the second formula, for even m the term corresponding to j=\dfrac m2 is different from the other terms in the sum, while for odd m, this additional term vanishes because of B_m=0.
Matrix form
Faulhaber's formula can also be written in a form using matrix multiplication. Take the first seven examples Writing these polynomials as a product between matrices gives where Surprisingly, inverting the matrix of polynomial coefficients yields something more familiar: In the inverted matrix, Pascal's triangle can be recognized, without the last element of each row, and with alternating signs. Let A_7 be the matrix obtained from by changing the signs of the entries in odd diagonals, that is by replacing a_{i,j} by, let be the matrix obtained from G_7 with a similar transformation, then and Also This is because it is evident that and that therefore polynomials of degree m+ 1 of the form subtracted the monomial difference n^m they become. This is true for every order, that is, for each positive integer m, one has and Thus, it is possible to obtain the coefficients of the polynomials of the sums of powers of successive integers without resorting to the numbers of Bernoulli but by inverting the matrix easily obtained from the triangle of Pascal.
Variations
Interpreting the Stirling numbers of the second kind,, as the number of set partitions of into k parts, the identity has a direct combinatorial proof since both sides count the number of functions with f(1) maximal. The index of summation on the left hand side represents k=f(1), while the index on the right hand side is represents the number of elements in the image of f. k = 1 to get the first example. In a similar fashion we also find
Relationship to Riemann zeta function
Using, one can write If we consider the generating function G(z,n) in the large n limit for \Re (z)<0, then we find Heuristically, this suggests that This result agrees with the value of the Riemann zeta function for negative integers s=-p<0 on appropriately analytically continuing \zeta(s). Faulhaber's formula can be written in terms of the Hurwitz zeta function:
Umbral form
In the umbral calculus, one treats the Bernoulli numbers B^0 = 1,, , ... as if the index j in B^j were actually an exponent, and so as if the Bernoulli numbers were powers of some object B. Using this notation, Faulhaber's formula can be written as Here, the expression on the right must be understood by expanding out to get terms B^j that can then be interpreted as the Bernoulli numbers. Specifically, using the binomial theorem, we get A derivation of Faulhaber's formula using the umbral form is available in The Book of Numbers by John Horton Conway and Richard K. Guy. Classically, this umbral form was considered as a notational convenience. In the modern umbral calculus, on the other hand, this is given a formal mathematical underpinning. One considers the linear functional T on the vector space of polynomials in a variable b given by Then one can say
A general formula
The series as a function of m is often abbreviated as S_m. Beardon has published formulas for powers of S_m, including a 1996 paper which demonstrated that integer powers of S_1 can be written as a linear sum of terms in the sequence : The first few resulting identities are then Although other specific cases of S_m^{;N} – including and – are known, no general formula for S_m^{;N} for positive integers m and N has yet been reported. A 2019 paper by Derby proved that: This can be calculated in matrix form, as described above. The m = 1 case replicates Beardon's formula for S_1^{;N} and confirms the above-stated results for m = 2 and N = 2 or 3. Results for higher powers include:
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