In discrete calculus the indefinite sum operator (also known as the antidifference operator), denoted by or ,[1][2] is the linear operator, inverse of the forward difference operator . It relates to the forward difference operator as the indefinite integral relates to the derivative. Thus
More explicitly, if , then
If F(x) is a solution of this functional equation for a given f(x), then so is F(x)+C(x) for any periodic function C(x) with period 1. Therefore, each indefinite sum actually represents a family of functions. However, due to the Carlson's theorem, the solution equal to its Newton series expansion is unique up to an additive constant C. This unique solution can be represented by formal power series form of the antidifference operator: .
Fundamental theorem of discrete calculus
Indefinite sums can be used to calculate definite sums with the formula:[3]
Definitions
Laplace summation formula
- where are the Cauchy numbers of the first kind, also known as the Bernoulli Numbers of the Second Kind.[4]
Newton's formula
- where is the falling factorial.
Faulhaber's formula
provided that the right-hand side of the equation converges.
Mueller's formula
If then[5]
Euler–Maclaurin formula
Choice of the constant term
Often the constant C in indefinite sum is fixed from the following condition.
Let
Then the constant C is fixed from the condition
or
Alternatively, Ramanujan's sum can be used:
or at 1
Summation by parts
Indefinite summation by parts:
Definite summation by parts:
Period rules
If is a period of function then
If is an antiperiod of function , that is then
Alternative usage
Some authors use the phrase "indefinite sum" to describe a sum in which the numerical value of the upper limit is not given:
In this case a closed form expression F(k) for the sum is a solution of
which is called the telescoping equation.[8] It is the inverse of the backward difference operator. It is related to the forward antidifference operator using the fundamental theorem of discrete calculus described earlier.
List of indefinite sums
This is a list of indefinite sums of various functions. Not every function has an indefinite sum that can be expressed in terms of elementary functions.
Antidifferences of rational functions
- where , the generalized to real order Bernoulli polynomials.
- where is the polygamma function.
- where is the digamma function.
Antidifferences of exponential functions
Particularly,
Antidifferences of logarithmic functions
Antidifferences of hyperbolic functions
- where is the q-digamma function.
Antidifferences of trigonometric functions
- where is the q-digamma function.
- where is the normalized sinc function.
Antidifferences of inverse hyperbolic functions
Antidifferences of inverse trigonometric functions
Antidifferences of special functions
- where is the incomplete gamma function.
- where is the falling factorial.
See also
References
- ↑ On Computing Closed Forms for Indefinite Summations. Yiu-Kwong Man. J. Symbolic Computation (1993), 16, 355-376
- ↑ "If Y is a function whose first difference is the function y, then Y is called an indefinite sum of y and denoted Δ−1y" Introduction to Difference Equations, Samuel Goldberg
- ↑ "Handbook of discrete and combinatorial mathematics", Kenneth H. Rosen, John G. Michaels, CRC Press, 1999, ISBN 0-8493-0149-1
- ↑ Bernoulli numbers of the second kind on Mathworld
- ↑ Markus Müller. How to Add a Non-Integer Number of Terms, and How to Produce Unusual Infinite Summations Archived 2011-06-17 at the Wayback Machine (note that he uses a slightly alternative definition of fractional sum in his work, i.e. inverse to backwards difference, hence 1 as the lower limit in his formula)
- ↑ Bruce C. Berndt, Ramanujan's Notebooks Archived 2006-10-12 at the Wayback Machine, Ramanujan's Theory of Divergent Series, Chapter 6, Springer-Verlag (ed.), (1939), pp. 133–149.
- ↑ Éric Delabaere, Ramanujan's Summation, Algorithms Seminar 2001–2002, F. Chyzak (ed.), INRIA, (2003), pp. 83–88.
- ↑ Algorithms for Nonlinear Higher Order Difference Equations, Manuel Kauers
Further reading
- "Difference Equations: An Introduction with Applications", Walter G. Kelley, Allan C. Peterson, Academic Press, 2001, ISBN 0-12-403330-X
- Markus Müller. How to Add a Non-Integer Number of Terms, and How to Produce Unusual Infinite Summations
- Markus Mueller, Dierk Schleicher. Fractional Sums and Euler-like Identities
- S. P. Polyakov. Indefinite summation of rational functions with additional minimization of the summable part. Programmirovanie, 2008, Vol. 34, No. 2.
- "Finite-Difference Equations And Simulations", Francis B. Hildebrand, Prenctice-Hall, 1968