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Indefinite sum
Inverse of a finite difference From Wikipedia, the free encyclopedia
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In discrete calculus, 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 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 the formal power series form of the antidifference operator: .
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Fundamental theorem of discrete calculus
Indefinite sums can be used to calculate definite sums with the formula[3]:
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Alternative usage
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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 discrete calculus.
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Definitions
Laplace summation formula
- where are the Cauchy numbers of the first kind.[5] [citation needed]
- is the falling factorial.
Newton's formula
Faulhaber's formula
- Given that can be represented by its Maclaurin series expansion, the Taylor series about , the indefinite sum can be formally represented by the series using taken term by term:
Müller's formula
If then[6]
Euler–Maclaurin formula
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Choice of the constant term
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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
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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 Faulhauber's formula finds rather than .
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
For further information, refer to balanced polygamma function, which provides an alternative to polygamma with nicer analytic properties and Hurwitz zeta function#Special cases and generalizations.
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.
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See also
References
Further reading
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