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Indefinite sum

Inverse of a finite difference From Wikipedia, the free encyclopedia

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In the calculus of finite differences, the indefinite sum operator (also known as the antidifference operator), denoted by or ,[1][2] is the linear operator that is the 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 is a solution of this functional equation for a given , then so is for any periodic function with period ,

Therefore, each indefinite sum represents a family of functions. For functions that are analytic and have exponential type less than in the imaginary direction, uniqueness of the analytic continuation comes from Carlson's theorem (or more generally, the Phragmén–Lindelöf principle), the solution of equal to its Newton series expansion is unique up to an additive constant . This unique solution can be represented by the formal power series form of the antidifference operator: .

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Fundamental theorem of the calculus of finite differences

Indefinite sums can be used to calculate definite sums with the formula:[3]

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Alternative usage

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The inverse forward difference operator, , extends the summation up to :

Some authors use the phrase "indefinite sum" to describe a sum in which the upper limit of the summation is the argument without a shift:

In this case, a closed-form expression for the sum is a solution of

which is called the telescoping equation.[4] It is the inverse of the backward difference operator , :

It is related to the forward antidifference operator using the fundamental theorem of the calculus of finite differences.

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Definitions

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Laplace summation formula

where are the Cauchy numbers of the first kind.[5][6]
is the falling factorial.

Newton's series

Müller-Schleicher Axiomatic definition

If is analytic on the right half-plane and satisfies the decay condition , the analytic continuation of is given by:[7]

This formula is derived from axioms presented in the paper based on fractional sums, which uniquely extends the definition of the summation to complex limits. The decay condition represents the simplest case of the general asymptotic requirements for the function .

Euler–Maclaurin formula

The Euler–Maclaurin formula extends : where are the even Bernoulli numbers, is an arbitrary positive integer, and is the remainder term given by:

with being the periodized Bernoulli function related to the Bernoulli polynomials.

Abel–Plana formula

The indefinite sum can be analytically continued by applying the standard Abel-Plana formula to the finite sum and then analytically continuing the integer limit to the variable . This yields the formula:[8]

This analytic continuation is valid when the conditions for the original formula are met. The sufficient conditions are:[9][10]

  1. Analyticity: must be analytic in the closed vertical strip between and . The formula provides analytic continuation up to, but not beyond, the nearest singularities of to the line .
  2. Growth: must be of exponential type less than in this strip, satisfying for some , as .
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Choice of the constant term

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Analytic Continuation of Discrete Sums

The constant term , in the context of indefinite sums naturally extending the discrete summation, is often defined based on the respective empty sum.

For the inverse forward difference, the typical summation equivalent is so the empty sum is when as it correlates to

For the inverse backward difference, the typical summation equivalent is so the empty sum is when as it correlates to

Normalization

In older texts relating to Bernoulli polynomials (predating more modern analytic techniques) the constant was often fixed using integral conditions.

Let

Then the constant is fixed from the condition

or

Alternatively, Ramanujan summation can be used:

or at 1

respectively.[11][12]

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Summation by parts

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Indefinite summation by parts:

Definite summation by parts:

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Period rules

If is a period of function then

If is an antiperiod of function , that is then

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List of indefinite sums

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Antidifferences of rational functions

For positive integer exponents, Faulhaber's formula can be used. Note that in the result of Faulhaber's formula must be replaced with due to the offset, as Faulhaber's formula finds rather than .

Given that can be represented by its Maclaurin series expansion, the Taylor series about , the indefinite sum can be formally (generally only convergent for polynomial summands) represented by the series using taken term by term:

For negative integer exponents, the indefinite sum is closely related to the polygamma function:

For fractions not listed in this section, one may use the polygamma function with partial fraction decomposition. More generally,

where are the Bernoulli polynomials, is the Hurwitz zeta function, and is the digamma function. This is related to the generalized harmonic numbers.

As the generalized harmonic numbers use reciprocal powers, must be substituted for , and the most common form uses the inverse of the backward difference offset:

Here, is the constant .

The Bernoulli polynomials are also related via a partial derivative with respect to :

Similarly, using the inverse of the backwards difference operator may be considered more natural, as:

Further generalization comes from use of the Lerch transcendent:

which generalizes the generalized harmonic numbers as when taking . Additionally, the partial derivative is given by

Antidifferences of exponential functions

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 super-exponential function)

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See also

References

Further reading

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