Skip to main content

Representing (\(\varvec{q}\)–)Hypergeometric Products and Mixed Versions in Difference Rings

  • Conference paper
  • First Online:
Book cover Advances in Computer Algebra (WWCA 2016)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 226))

Included in the following conference series:

Abstract

In recent years, Karr’s difference field theory has been extended to the so-called \(\mathrm {R}{\Pi \Sigma }\)-extensions in which one can represent not only indefinite nested sums and products that can be expressed by transcendental ring extensions, but one can also handle algebraic products of the form \(\alpha ^n\) where \(\alpha \) is a root of unity. In this article we supplement this summation theory substantially by the following building block. We provide new algorithms that represent a finite number of hypergeometric or mixed \(({q}_{1},\dots ,{q}_{e})\)-multibasic hypergeometric products in such a difference ring. This new insight provides a complete summation machinery that enables one to formulate such products and indefinite nested sums defined over such products in \(\mathrm {R}{\Pi \Sigma }\)-extensions fully automatically. As a side-product, one obtains compactified expressions where the products are algebraically independent among each other, and one can solve the zero-recognition problem for such products.

Dedicated to Sergei A. Abramov on the occasion of his 70th birthday

Supported by the Austrian Science Fund (FWF) grant SFB F50 (F5009-N15)

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Their elements are considered as expressions that can be evaluated for sufficiently large \(n\in \mathbb {N}\).

  2. 2.

    This is the case if \(\mathbb {K}\) is strongly \(\sigma \)-computable, or if \(\mathbb {K}\) is a rational function field over a strongly \(\sigma \)-computable field.

  3. 3.

    \(\zeta \) lies on the unity circle. However, not every algebraic number on the unit circle is a root of unity: Take for instance \(\frac{1-\sqrt{3}}{2}+\frac{3^{\frac{1}{4}}}{\sqrt{2}}\,\iota \) and its complex conjugate; they are on the unit circle, but they are roots of the polynomial \(x^{4}-2\,x^{3}-2\,x+1\) which is irreducible in \(\mathbb {Q}[x]\) and which is not a cyclotomic polynomial. For details on number fields containing such numbers see [16].

  4. 4.

    It would suffice to require that the \(f_i\in K[\kappa _1,\ldots ,\kappa _u]\setminus K\) are monic and pairwise co-prime. For practical reasons we require in addition that the \(f_i\) are irreducible. For instance, suppose we have to deal with \((\kappa (\kappa +1))^n\). Then we could take \(f_1=\kappa (\kappa +1)\) and can adjoin the \(\mathrm {\Pi }\)-monomial \(\sigma (t)=f_1\,t\) to model the product. However, if in a later step also the unforeseen products \(\kappa ^n\) and \((\kappa +1)^n\) arise, one has to split t into two monomials, say \(t_1,t_2\), with \(\sigma (t_1)=\kappa \,t_1\) and \(\sigma (t_2)=(\kappa +1)\,t_2\). Requiring that the \(f_i\) are irreducible avoids such undesirable redesigns of an already constructed \(\mathrm {R}\Pi \)-extension.

  5. 5.

    We note that (29) could be also rephrased in terms of Abramov’s dispersion [2, 7].

  6. 6.

    Instead of irreducibility it would suffice to require that the \(p_i\in \mathbb {K}[x]\setminus \mathbb {K}\) satisfy property (29). However, suppose that one takes, e.g., \(p_1=x(2\,x+1)\) leading to the \(\mathrm {\Pi }\)-monomial t with \(\sigma (t)=x\,(2x+1)\). Further, assume that later one has to introduce unexpectedly also x and \(2\,x+1\). Then one has to split t to the \(\mathrm {\Pi }\)-monomials \(t_1,t_2\) with \(\sigma (t_1)=x\,t_1\) and \(\sigma (t_2)=(2x+1)\,t_2\), i.e., one has to redesign the already constructed \(\mathrm {R}\Pi \)-extension. In short, irreducible polynomials provide an \(\mathrm {R}{\Pi \Sigma }\)-extension which most probably need not be redesigned if other products have to be considered.

  7. 7.

    We remark that this representation is related to the normal form given in [8].

References

  1. Ablinger, J., Behring, A., Blümlein, J., De Freitas, A., von Manteuffel, A., Schneider, C.: Calculating three loop ladder and V-topologies for massive operator matrix elements by computer algebra 202, 33–112 (2016). arXiv:1509.08324 [hep-ph]

    Google Scholar 

  2. Abramov, S.A.: On the summation of rational functions. Zh. vychisl. Mat. Fiz. 11, 1071–1074 (1971)

    MathSciNet  MATH  Google Scholar 

  3. Abramov, S.A., Petkovšek, M.: D’Alembertian solutions of linear differential and difference equations. In: von zur Gathen, J. (ed.) Proceedings ISSAC’94, pp. 169–174. ACM Press (1994)

    Google Scholar 

  4. Abramov, S.A., Petkovšek, M.: Polynomial ring automorphisms, rational \((w,\sigma )\)-canonical forms, and the assignment problem. J. Symb. Comput. 45(6), 684–708 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  5. Abramov, S.A., Zima, E.V.: D’Alembertian solutions of inhomogeneous linear equations (differential, difference, and some other). In: Proceedings ISSAC’96, pp. 232–240. ACM Press (1996)

    Google Scholar 

  6. Bauer, A., Petkovšek, M.: Multibasic and mixed hypergeometric Gosper-type algorithms. J. Symb. Comput. 28(4–5), 711–736 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bronstein, M.: On solutions of linear ordinary difference equations in their coefficient field. J. Symb. Comput. 29(6), 841–877 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  8. Chen, S., Feng, R., Fu, G., Li, Z.: On the structure of compatible rational functions. In: Proceedings ISSAC’11, pp. 91–98. ACM Press (2011)

    Google Scholar 

  9. Ge, G.: Algorithms Related to the multiplicative representation of algebraic numbers. Ph.D. thesis, Univeristy of California at Berkeley (1993)

    Google Scholar 

  10. Hardouin, C., Singer, M.F.: Differential Galois theory of linear difference equations. Math. Ann. 342(2), 333–377 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  11. van Hoeij, M.: Finite singularities and hypergeometric solutions of linear recurrence equations. J. Pure Appl. Algebra 139(1–3), 109–131 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  12. Karr, M.: Summation in finite terms. J. ACM 28(2), 305–350 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  13. Karr, M.: Theory of summation in finite terms. J. Symb. Comput. (1), 303–315 (1985)

    Google Scholar 

  14. Kauers, M., Schneider, C.: Indefinite summation with unspecified summands. Discrete Math. 306(17), 2021–2140 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  15. Kauers, M., Zimmermann, B.: Computing the algebraic relations of c-finite sequences and multisequences. J. Symb. Comput. 43(11), 787–803 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  16. Parry, C.J.: Units of algebraic number fields. J. Number Theor. 7(4), 385–388 (1975)

    Article  MATH  Google Scholar 

  17. Paule, P.: Greatest factorial factorization and symbolic summation. J. Symb. Comput. 20(3), 235–268 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  18. Petkovšek, M.: Hypergeometric solutions of linear recurrences with polynomial coefficients. J. Symb. Comput. 14(2–3), 243–264 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  19. Petkovšek, M., Wilf, H.S., Zeilberger, D.: \(a = b\), A K Peters, April 1996

    Google Scholar 

  20. Petkovšek, M., Zakrajšek, H.: Solving linear recurrence equations with polynomial coefficients. In: Schneider, C., Blümlein, J. (eds.) Computer Algebra in Quantum Field Theory: Integration, Summation and Special Functions. Texts and Monographs in Symbolic Computation, pp. 259–284. Springer (2013)

    Google Scholar 

  21. van der Put, M., Singer, M.F.: Galois theory of difference equations. Lecture Notes in Mathematics, vol. 1666. Springer-Verlag, Berlin (1997). MR 1480919 (2000e:39008)

    MATH  Google Scholar 

  22. Schneider, C.: Symbolic summation in difference fields, Technical Report 01-17, RISC-Linz, J. Kepler University, November 2001, Ph.D. Thesis

    Google Scholar 

  23. Schneider, C.: Product representations in \({\Pi }{\Sigma }\)-fields. Ann. Comb. 9(1), 75–99 (2005)

    Article  MathSciNet  Google Scholar 

  24. Schneider, C.: Simplifying sums in \(\Pi \Sigma \)-extensions. J. Algebra Appl. 6(3), 415–441 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  25. Schneider, C.: Symbolic summation assists combinatorics. Sem. Lothar. Combin. 56, 1–36 (2007). Article B56b

    Google Scholar 

  26. Schneider, C.: A refined difference field theory for symbolic summation. J. Symbolic Comput. 43(9), 611–644 (2008). [arXiv:0808.2543v1]

  27. Schneider, C.: Parameterized telescoping proves algebraic independence of sums. Ann. Comb. 14, 533–552 (2010). [arXiv:0808.2596]; for an earlier version see Proc. FPSAC 2007

  28. Schneider, C.: A streamlined difference ring theory: indefinite nested sums, the alternating sign and the parameterized telescoping problem. In: Winkler, F., Negru, V., Ida, T., Jebelean, T., Petcu, D., Watt, S., Zaharie, D. (eds.) Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 15th International Symposium, pp. 26–33. IEEE Computer Society (2014). arXiv:1412.2782v1] [cs.SC]

  29. Schneider, C.: Fast algorithms for refined parameterized telescoping in difference fields. In: Weimann, M., Guitierrez, J., Schicho, J. (eds.) Computer Algebra and Polynomials, Lecture Notes in Computer Science (LNCS), no. 8942, pp. 157–191. Springer (2015). arXiv:1307.7887 [cs.SC]

  30. Schneider, C.: A difference ring theory for symbolic summation. J. Symb. Comput. 72, 82–127 (2016). arXiv:1408.2776 [cs.SC]

  31. Schneider, C.: Symbolic summation in difference rings and applications. In: Rosenkranz, M. (ed.) Proceedings ISSAC 2016, pp. 9–12 (2016)

    Google Scholar 

  32. Schneider, C.: Summation theory II: characterizations of \(R\Pi \Sigma \)-extensions and algorithmic aspects. J. Symb. Comput. 80(3), 616–664 (2017). arXiv:1603.04285 [cs.SC]

  33. Schneider, C., Sulzgruber, R.: Asymptotic and exact results on the complexity of the Novelli–Pak–Stoyanovskii algorithm. submitted (2016) (english), arXiv:1606.07597

  34. Winkler, F.: Polynomial algorithms in computer algebra. In: Texts and Monographs in Symbolic Computation. Springer-Verlag, Vienna (1996)

    Google Scholar 

Download references

Acknowledgements

We would like to thank Michael Karr for his valuable remarks to improve the article. Supported by the Austrian Science Fund (FWF) grant SFB F50 (F5009-N15).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Evans Doe Ocansey .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ocansey, E.D., Schneider, C. (2018). Representing (\(\varvec{q}\)–)Hypergeometric Products and Mixed Versions in Difference Rings. In: Schneider, C., Zima, E. (eds) Advances in Computer Algebra. WWCA 2016. Springer Proceedings in Mathematics & Statistics, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73232-9_8

Download citation

Publish with us

Policies and ethics