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Convergence Improvement


Convergence improvement, also called convergence acceleration or accelerated convergence, transforms a series or sequence so that it approaches its limit more rapidly. Convergence improvement can be effected by forming a linear combination with a series whose sum is known. Useful sums include

sum_(n=1)^(infty)1/(n(n+1))=1
(1)
sum_(n=1)^(infty)1/(n(n+1)(n+2))=1/4
(2)
sum_(n=1)^(infty)1/(n(n+1)(n+2)(n+3))=1/(18)
(3)
sum_(n=1)^(infty)1/(n(n+1)...(n+p))=1/(p·p!).
(4)

For a positive integer p, the last formula follows by telescoping.

Kummer's transformation takes a convergent series

 s=sum_(k=0)^inftya_k
(5)

and another convergent series

 c=sum_(k=0)^inftyc_k
(6)

with known c, with c_k!=0 for all sufficiently large k, such that

 lim_(k->infty)(a_k)/(c_k)=lambda!=0.
(7)

Then the same sum can be written as

 s=lambdac+sum_(k=0)^infty(a_k-lambdac_k)
(8)

(Abramowitz and Stegun 1972). The residual terms satisfy (a_k-lambdac_k)/c_k->0, which can improve convergence.

The Euler transform rewrites a convergent series of the form

 sum_(k=0)^infty(-1)^ka_k=a_0-a_1+a_2-...
(9)

as

 s=sum_(k=0)^infty((-1)^kDelta^ka_0)/(2^(k+1)),
(10)

provided the transformed series converges, where Delta is the forward difference operator and

 Delta^ka_0=sum_(m=0)^k(-1)^m(k; m)a_(k-m)
(11)

(Abramowitz and Stegun 1972, Beeler et al. 1972). This transformation often accelerates slowly convergent alternating series.

A general technique for accelerating a series is to expand the summand in powers of the reciprocal of its index and interchange the order of summation when the interchange is justified. A symbolic form for this expansion can sometimes allow the original index to be summed symbolically. For example, consider the case of the sum

 c=sum_(k=2)^infty1/kln(k/(k-1))=0.7885305659115...
(12)

(OEIS A085361) that arises in the definition of the Alladi-Grinstead constant. The summand can be expanded about infinity to get

c=sum_(k=2)^(infty)k^(-2)+1/2k^(-3)+1/3k^(-4)+...
=sum_(k=2)^(infty)sum_(n=1)^(infty)1/(nk^(n+1)).
(13)

Since all terms in the double series are nonnegative, interchanging the order of summation gives

c=sum_(n=1)^(infty)sum_(k=2)^(infty)1/(nk^(n+1))
=sum_(n=1)^(infty)(zeta(n+1)-1)/n,
(14)

where zeta(n) is the Riemann zeta function, which converges much more rapidly.

Aitken's delta-squared process uses the transformation

 T(S_n)=(S_(n+1)S_(n-1)-S_n^2)/(S_(n+1)-2S_n+S_(n-1)),
(15)

where S_n=sum_(k=0)^(n)a_k is the nth partial sum of a sequence {a_k}_(k=0)^infty. For n>=1 and S_(n+1)-2S_n+S_(n-1)!=0, the transformation can accelerate convergence (Hamming 1986, p. 205). In particular, T(S_n) can be written

T(S_n)=((S_n+a_(n+1))(S_n-a_n)-S_n^2)/(S_n+a_(n+1)-2S_n+S_n-a_n)
=S_n+(a_na_(n+1))/(a_n-a_(n+1)).
(16)

The application of this transformation can be efficiently carried out using Wynn's epsilon method. Set epsilon_0(S_n)=S_n, epsilon_(-1)(S_n)=0, and use

 epsilon_(r+1)(S_n)=epsilon_(r-1)(S_(n+1))+1/(epsilon_r(S_(n+1))-epsilon_r(S_n))
(17)

for r=0, 1, ..., wherever the denominator is nonzero. For a positive integer k, the even entries epsilon_(2k)(S_n) give Shanks' transformation of order k, based on S_n, ..., S_(n+2k). In particular, epsilon_2(S_n)=T(S_(n+1)). Higher orders generally differ from repeated applications of Aitken's delta-squared process.

Given a series of the form

 S=sum_(n=1)^inftyf(1/n),
(18)

where f(z) is analytic in a neighborhood of the closed unit disk, and

 f(z)|_(z->0)=O(z^2),
(19)

then the series can be rearranged to

S=sum_(n=1)^(infty)sum_(m=2)^(infty)f_m(1/n)^m
=sum_(m=2)^(infty)sum_(n=1)^(infty)f_m(1/n)^m
=sum_(m=2)^(infty)f_mzeta(m),
(20)

where

 f(z)=sum_(m=2)^inftyf_mz^m
(21)

is the Maclaurin series of f and zeta(z) is the Riemann zeta function (Flajolet and Vardi 1996). The transformed series exhibits geometric convergence. Similarly, if f(z) is analytic in a neighborhood of |z|<=1/n_0 for some positive integer n_0 and still satisfies f(z)=O(z^2) at 0, then

 S=sum_(n=1)^(n_0-1)f(1/n)+sum_(m=2)^inftyf_m[zeta(m)-1/(1^m)-...-1/((n_0-1)^m)],
(22)

which converges geometrically (Flajolet and Vardi 1996). Equation (22) can also be used to further accelerate the convergence of series (20).


See also

Aitken's Delta-Squared Process, Euler Transform, Lozenge Algorithm, Shanks' Transformation, Wilf-Zeilberger Pair, Wynn's Epsilon Method

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References

Abramowitz, M. and Stegun, I. A. (Eds.). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th printing. New York: Dover, p. 16, 1972.Arfken, G. Mathematical Methods for Physicists, 3rd ed. Orlando, FL: Academic Press, pp. 288-289, 1985.Beeler et al. Item 120 in Beeler, M.; Gosper, R. W.; and Schroeppel, R. HAKMEM. Cambridge, MA: MIT Artificial Intelligence Laboratory, Memo AIM-239, p. 55, Feb. 1972. https://www.inwap.com/pdp10/hbaker/hakmem/series.html#item120.Flajolet, P. and Vardi, I. "Zeta Function Expansions of Classical Constants." Unpublished manuscript. 1996. https://algo.inria.fr/flajolet/Publications/landau.ps.Hamming, R. W. Numerical Methods for Scientists and Engineers, 2nd ed. New York: Dover, pp. 206-207, 1986.National Institute of Standards and Technology. "Acceleration of Convergence." §3.9 in NIST Digital Library of Mathematical Functions. https://dlmf.nist.gov/3.9.Shanks, D. "Nonlinear Transformations of Divergent and Slowly Convergent Sequences." J. Math. Phys. 34, 1-42, 1955.Sloane, N. J. A. Sequence A085361 in "The On-Line Encyclopedia of Integer Sequences."

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Convergence Improvement

Cite this as:

Weisstein, Eric W. "Convergence Improvement." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/ConvergenceImprovement.html

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