Skip to main content
Log in

Acceleration of convergence of some infinite sequences {An} whose asymptotic expansions involve fractional powers of n via the \({\tilde {d}}^{(m)}\) transformation

  • Original Paper
  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

In this paper, we discuss the application of the author’s \(\tilde {d}^{(m)}\) transformation to accelerate the convergence of infinite series \({\sum }^{\infty }_{n=1}a_n\) when the terms an have asymptotic expansions that can be expressed in the form

$$ a_n\sim(n!)^{s/m}\exp\left[\sum\limits^{m}_{i=0}q_in^{i/m}\right]\sum\limits^\infty_{i=0}w_i n^{\gamma-i/m}\quad\text{as } n\to\infty,\quad s\ \text{integer.} $$

We discuss the implementation of the \(\tilde {d}^{(m)}\) transformation via the recursive W-algorithm of the author. We show how to apply this transformation and how to assess in a reliable way the accuracies of the approximations it produces, whether the series converge or they diverge. We classify the different cases that exhibit unique numerical stability issues in floating-point arithmetic. We show that the \(\tilde {d}^{(m)}\) transformation can also be used efficiently to accelerate the convergence of infinite products \({\prod }^{\infty }_{n=1}(1+v_n)\), where \(v_n\sim {\sum }^{\infty }_{i=0}e_in^{-t/m-i/m}\) as \(n\to \infty \), tm + 1 an integer. Finally, we give several numerical examples that attest the high efficiency of the \(\tilde {d}^{(m)}\) transformation for the different cases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Clearly, Q(n) ≡ 0 takes place when 𝜃i = 0, i = 0, 1,…,m − 1.

  2. The convergence of infinite series \({\sum }^{\infty }_{n=1}a_{n}\) with \(\{a_{n}\}\in \textbf {b}^{(m)}\), m being arbitrary, can be accelerated efficiently by using the d(m) transformation of Levin and Sidi [10], which can be implemented very economically via the recursive W(m)-algorithm of Ford and Sidi [8]. All this is studied in detail also in Sidi [18, Chapters 6 and 7].

  3. Note that most of the methods mentioned above suffer from lack of numerical stability when applied to infinite series \({\sum }^{\infty }_{n=1}a_{n}\) with an behaving as in (1.5). In addition, there is no reliable way to assess the floating-point accuracies of the approximations they produce.

  4. Clearly, if \(\alpha \in \tilde {\mathbf {A}}^{(\gamma ,m)}_{0}\), then α(x) = xγβ(x), where \(\upbeta \in \tilde {\mathbf {A}}^{(0,m)}_{0}\).

  5. Thus, \(\{a_{n}\}\not \in \tilde {\mathbf {b}}^{(m)}\) if c(n) = an+ 1/an is in \(\tilde {\mathbf {A}}^{(0,m)}_{0}\) and has an asymptotic expansion of the form \(c(n)\sim 1+{\sum }^{\infty }_{i=m+1}c_{i} n^{-i/m}\) as \(n\to \infty \).

  6. The choice \(\hat {\sigma }=1\) results in the “universal” formulation of the \(\tilde {d}^{(m)}\) transformation that is applicable in the presence of all \(\{a_{n}\}\in \tilde {\textbf {b}}^{(m)}\) that we mentioned in the paragraph preceding the last in Section 1.

  7. The explanation for this is twofold: (i) Numerical computations show this. (ii) What matters is not so much the exact value of \({\Gamma }^{(j)}_{n}\) in (3.9)–(3.12) and of \({\Lambda }^{(j)}_{n}\) in (3.14)–(3.18), but rather their orders of magnitude, as explained following (3.18) and as many numerical examples show very clearly.

  8. It is clear that (3.12) is useless when {An} diverges.

  9. Thus, \(\lim _{j\to \infty }A^{(j)}_{n}=S\) (i) for all n ≥ 1 if \({\sum }^{\infty }_{k=1}a_{k}\) converges, that is, if Rγ < − 1, and (ii) for n > m(Rγ + 1) if \({\sum }^{\infty }_{k=1}a_{k}\) diverges, that is, if Rγ ≥− 1, in which case, S is the antilimit.

  10. At the present, we do not have a theorem that covers cases with complex γ when GPS is used with noninteger τ in (3.21).

  11. This means that an tends to zero exponentially or behaves at worst like a fixed power of n as \(n\to \infty \).

  12. Note that \(e^{\kappa \theta _{0}}=1\) only when 𝜃0 is purely imaginary and κ|𝜃0| is an integer multiple of 2π.

  13. For the divergent series considered here, we do not even know whether antilimits exist. The approximations \(A^{(0)}_{n}\), n = 0, 1,…, obtained by applying the \(\tilde {d}^{(m)}\) transformation to these series seem definitely to converge, however. Thus, we can safely conclude that \(\lim _{n\to \infty }A^{(0)}_{n}\) are the antilimits of these series, even though we do not know their nature.

  14. See footnote 6.

  15. Recall that the infinite product \({\prod }^{\infty }_{n=1}f_{n}\) is convergent if \(\lim _{n\to \infty }{\prod }^{n}_{k=1}f_{k}\) exists and is finite and nonzero.

References

  1. Aitken, A.C.: On Bernoulli’s numerical solution of algebraic equations. Proc. Roy. Soc. Edinburgh 46, 289–305 (1926)

    Article  Google Scholar 

  2. Birkhoff, G.D.: Formal theory of irregular difference equations. Acta Math. 54, 205–246 (1930)

    Article  MathSciNet  Google Scholar 

  3. Birkhoff, G.D., Trjitzinsky, W.J.: Analytic theory of singular difference equations. Acta Math. 60, 1–89 (1932)

    Article  MathSciNet  Google Scholar 

  4. Brezinski, C.: Généralisations de la transformation de Shanks, de la table de Padé, et de l’𝜖-algorithme. Calcolo 12, 317–360 (1975)

    Article  MathSciNet  Google Scholar 

  5. Brezinski, C., Redivo-Zaglia, M.: Extensions of Drummond’s process for convergence acceleration. Appl. Numer. Math. 60, 1231–1241 (2010)

    Article  MathSciNet  Google Scholar 

  6. Cohen, A.M., Levin, D.: Accelerating infinite products. Numer. Algorithms 22, 157–165 (1999)

    Article  MathSciNet  Google Scholar 

  7. Drummond, J.E.: Summing a common type of slowly convergent series of positive terms. J. Austral. Math. Soc., Series B 19, 416–421 (1976)

    Article  MathSciNet  Google Scholar 

  8. Ford, W.F., Sidi, A.: An algorithm for a generalization of the Richardson extrapolation process. SIAM J. Numer. Anal. 24, 1212–1232 (1987)

    Article  MathSciNet  Google Scholar 

  9. Levin, D.: Development of non-linear transformations for improving convergence of sequences. Intern. J. Computer Math. B3, 371–388 (1973)

    MathSciNet  MATH  Google Scholar 

  10. Levin, D., Sidi, A.: Two new classes of nonlinear transformations for accelerating the convergence of infinite integrals and series. Appl. Math. Comp. 9, 175–215 (1981). Originally appeared as a Tel Aviv University preprint in 1975

    Article  MathSciNet  Google Scholar 

  11. Lubkin, S.: A method of summing infinite series. J. Res. Nat. Bur. Standards 48, 228–254 (1952)

    Article  MathSciNet  Google Scholar 

  12. Sablonnière, P.: Asymptotic behaviour of iterated modified Δ2 and 𝜃2 transforms on some slowly convergent sequences. Numer. Algorithms 3, 401–410 (1992)

    Article  MathSciNet  Google Scholar 

  13. Sidi, A.: Some properties of a generalization of the Richardson extrapolation process. J. Inst. Maths. Applics. 24, 327–346 (1979)

    Article  MathSciNet  Google Scholar 

  14. Sidi, A.: An algorithm for a special case of a generalization of the Richardson extrapolation process. Numer. Math. 38, 299–307 (1982)

    Article  MathSciNet  Google Scholar 

  15. Sidi, A.: Convergence analysis for a generalized Richardson extrapolation process with an application to the d(1)-transformation on convergent and divergent logarithmic sequences. Math. Comp. 64, 1627–1657 (1995)

    MathSciNet  MATH  Google Scholar 

  16. Sidi, A.: Further convergence and stability results for the generalized Richardson extrapolation process GREP(1) with an application to the D(1)-transformation for infinite integrals. J. Comp. Appl. Math. 112, 269–290 (1999)

    Article  MathSciNet  Google Scholar 

  17. Sidi, A.: New convergence results on the generalized Richardson extrapolation process GREP(1) for logarithmic sequences. Math. Comp. 71, 1569–1596 (2002)

    Article  MathSciNet  Google Scholar 

  18. Sidi, A.: Practical extrapolation methods: theory and applications. Number 10 in Cambridge Monographs on Applied and Computational Mathematics. Cambridge University Press, Cambridge (2003)

    Book  Google Scholar 

  19. Sidi, A.: A user-friendly extrapolation method for computing infinite-range integrals of products of oscillatory functions. IMA J. Numer. Anal. 32, 602–631 (2012)

    Article  MathSciNet  Google Scholar 

  20. Stoer, J., Bulirsch, R.: Introduction to numerical analysis, 3rd edn. Springer, New York (2002)

    Book  Google Scholar 

  21. Van Tuyl, A.H.: Application of methods for acceleration of convergence to the calculation of singularities of transonic flows. In: Padé Approximants Method and Its Applications to Mechanics, number 47 in Lecture Notes in Physics, pp 209–223. Springer, Berlin (1976)

  22. Van Tuyl, A.H.: Acceleration of convergence of a family of logarithmically convergent sequences. Math. Comp. 63, 229–246 (1994)

    Article  MathSciNet  Google Scholar 

  23. Wimp, J.: The summation of series whose terms have asymptotic representations. J. Approx. Theory 10, 185–198 (1974)

    Article  MathSciNet  Google Scholar 

  24. Wimp, J.: Sequence transformations and their applications. Academic Press, New York (1981)

    MATH  Google Scholar 

  25. Wynn, P.: On a procrustean technique for the numerical transformation of slowly convergent sequences and series. Proc. Cambridge Phil. Soc. 52, 663–671 (1956)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Avram Sidi.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sidi, A. Acceleration of convergence of some infinite sequences {An} whose asymptotic expansions involve fractional powers of n via the \({\tilde {d}}^{(m)}\) transformation. Numer Algor 85, 1409–1445 (2020). https://doi.org/10.1007/s11075-019-00870-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11075-019-00870-z

Keywords

Mathematics subject classification (2010)

Navigation