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Abel Summation

In analytic number theory, one often studies sums of the form

Motivation

In analytic number theory, one often studies sums of the form

nxanf(n), \sum_{n\leq x} a_n f(n),

where ana_n is an arithmetic sequence and f(x)f(x) is a smooth function. Direct estimation of such sums is frequently difficult. Abel summation transforms the problem into one involving partial sums of the coefficients ana_n.

This method is the discrete analogue of integration by parts. It is one of the basic tools connecting arithmetic information with analytic estimates.

Partial Sums

Let

A(x)=nxan. A(x)=\sum_{n\leq x} a_n.

The function A(x)A(x) records the cumulative behavior of the sequence ana_n. Abel summation expresses weighted sums in terms of A(x)A(x) rather than the individual coefficients.

Suppose ff has a continuous derivative on [1,x][1,x]. Then

nxanf(n)=A(x)f(x)1xA(t)f(t)dt. \sum_{n\leq x} a_n f(n) = A(x)f(x) - \int_1^x A(t)f'(t)\,dt.

This identity is called Abel summation formula or partial summation.

It converts a discrete sum into an integral involving the partial sums A(t)A(t).

Derivation

Let

S(x)=nxanf(n). S(x)=\sum_{n\leq x} a_n f(n).

Since

an=A(n)A(n1), a_n=A(n)-A(n-1),

we may write

S(x)=nx(A(n)A(n1))f(n). S(x) = \sum_{n\leq x} (A(n)-A(n-1))f(n).

Expanding gives

S(x)=nxA(n)f(n)nxA(n1)f(n). S(x) = \sum_{n\leq x} A(n)f(n) - \sum_{n\leq x} A(n-1)f(n).

After shifting indices and rearranging terms,

S(x)=A(x)f(x)n<xA(n)(f(n+1)f(n)). S(x) = A(x)f(x) - \sum_{n<x} A(n)(f(n+1)-f(n)).

Approximating the finite difference by the derivative of ff leads to the integral form

nxanf(n)=A(x)f(x)1xA(t)f(t)dt. \sum_{n\leq x} a_n f(n) = A(x)f(x) - \int_1^x A(t)f'(t)\,dt.

This formula mirrors integration by parts:

udv=uvvdu. \int u\,dv = uv - \int v\,du.

Harmonic Numbers

Take

an=1. a_n=1.

Then

A(x)=x. A(x)=\lfloor x\rfloor.

Choose

f(x)=1x. f(x)=\frac1x.

Abel summation gives

nx1n=xx+1xtt2dt. \sum_{n\leq x}\frac1n = \frac{\lfloor x\rfloor}{x} + \int_1^x \frac{\lfloor t\rfloor}{t^2}\,dt.

Since tt\lfloor t\rfloor \sim t, the integral behaves like

1xdtt=logx. \int_1^x \frac{dt}{t} = \log x.

Thus the harmonic numbers satisfy

nx1n=logx+O(1). \sum_{n\leq x}\frac1n = \log x + O(1).

This recovers the logarithmic growth of the harmonic series.

Prime Counting Example

Let

π(x)=px1 \pi(x)=\sum_{p\leq x}1

denote the prime counting function. To study reciprocal sums over primes,

px1p, \sum_{p\leq x}\frac1p,

take

an={1,n prime,0,otherwise, a_n= \begin{cases} 1,& n\text{ prime},\\ 0,& \text{otherwise}, \end{cases}

so that

A(x)=π(x). A(x)=\pi(x).

Using f(x)=1/xf(x)=1/x, Abel summation gives

px1p=π(x)x+2xπ(t)t2dt. \sum_{p\leq x}\frac1p = \frac{\pi(x)}x + \int_2^x \frac{\pi(t)}{t^2}\,dt.

If one inserts the approximation

π(t)tlogt, \pi(t)\sim \frac{t}{\log t},

then the integral becomes approximately

2xdttlogt=loglogx+O(1). \int_2^x \frac{dt}{t\log t} = \log\log x + O(1).

Hence

px1ploglogx. \sum_{p\leq x}\frac1p \sim \log\log x.

This is one of the classical applications of Abel summation.

Dirichlet Series

Abel summation is closely related to Dirichlet series. Consider

n=1anns. \sum_{n=1}^{\infty}\frac{a_n}{n^s}.

Define

A(x)=nxan. A(x)=\sum_{n\leq x} a_n.

Applying Abel summation with

f(x)=xs, f(x)=x^{-s},

one obtains

nxanns=A(x)xs+s1xA(t)ts+1dt. \sum_{n\leq x}\frac{a_n}{n^s} = \frac{A(x)}{x^s} + s\int_1^x \frac{A(t)}{t^{s+1}}\,dt.

This formula connects analytic properties of Dirichlet series with growth estimates for partial sums.

Much of analytic number theory depends on controlling A(x)A(x) and then translating that information into properties of generating functions.

Importance

Abel summation is one of the central transformation tools in analytic number theory. It converts discrete arithmetic information into continuous analytic form.

The method appears throughout the subject:

  • estimation of harmonic sums,
  • prime number theory,
  • Dirichlet series,
  • Fourier coefficients,
  • lattice point problems,
  • divisor sums.

Its importance comes from a simple principle: partial sums often contain smoother and more accessible information than individual arithmetic terms.