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Creative Telescoping for Hypergeometric Double Sums

Peter Paule, Carsten Schneider

TL;DR

The paper addresses computing $P$-finite recurrences for hypergeometric multi-sums $S(n)=\sum F(n,\dots)$ by integrating creative telescoping with contiguous-relations theory to obtain hook-type recurrences and a scalar rational solution of a parameterized recurrence.A practical double-sum method is developed: compute recurrences for the inner sum, craft a certificate $g(n,r)$, and telescope over the outer index to derive a recurrence for $S(n)$; the method is extended to accommodate multiple sums and refined for speed.The authors provide concrete instances (e.g., Blodgett–Andrews–Paule; Ahlgren–Rivoal–Krattenthaler), show how recurrences certify identities, and present substantial speedups via preprocessing, heuristic checks, and Gosper-Petkovšek-based numerator predictions.They also demonstrate that the framework generalizes to the $q$-hypergeometric setting and is implemented in Sigma, offering a scalable, automatable approach for a broad class of combinatorial and number-theoretic identities.

Abstract

We present efficient methods for calculating linear recurrences of hypergeometric double sums and, more generally, of multiple sums. In particular, we supplement this approach with the algorithmic theory of contiguous relations, which guarantees the applicability of our method for many input sums. In addition, we elaborate new techniques to optimize the underlying key task of our method to compute rational solutions of parameterized linear recurrences.

Creative Telescoping for Hypergeometric Double Sums

TL;DR

The paper addresses computing $P$-finite recurrences for hypergeometric multi-sums $S(n)=\sum F(n,\dots)$ by integrating creative telescoping with contiguous-relations theory to obtain hook-type recurrences and a scalar rational solution of a parameterized recurrence.A practical double-sum method is developed: compute recurrences for the inner sum, craft a certificate $g(n,r)$, and telescope over the outer index to derive a recurrence for $S(n)$; the method is extended to accommodate multiple sums and refined for speed.The authors provide concrete instances (e.g., Blodgett–Andrews–Paule; Ahlgren–Rivoal–Krattenthaler), show how recurrences certify identities, and present substantial speedups via preprocessing, heuristic checks, and Gosper-Petkovšek-based numerator predictions.They also demonstrate that the framework generalizes to the $q$-hypergeometric setting and is implemented in Sigma, offering a scalable, automatable approach for a broad class of combinatorial and number-theoretic identities.

Abstract

We present efficient methods for calculating linear recurrences of hypergeometric double sums and, more generally, of multiple sums. In particular, we supplement this approach with the algorithmic theory of contiguous relations, which guarantees the applicability of our method for many input sums. In addition, we elaborate new techniques to optimize the underlying key task of our method to compute rational solutions of parameterized linear recurrences.
Paper Structure (17 sections, 1 theorem, 121 equations, 4 tables)

This paper contains 17 sections, 1 theorem, 121 equations, 4 tables.

Key Result

Theorem 1

Let $a_1,\dots,a_{q+1}$ and $b_1,\dots,b_q$ be complex parameters. For $0 \leq l \leq q$ let be pairwise different tuples with non-negative integer entries. Then there exist $c_0, \dots, c_q$ in $\mathbb{K}$, not all $0$, and a polynomial $C(x) \in \mathbb{K}[x]$ such that for all $k \geq 0$, Moreover, $C(0)=0$, and if $C(x) \neq 0$, for the polynomial degree of $C(x)$ one has

Theorems & Definitions (27)

  • Example 1
  • Example 2
  • Remark 1
  • Theorem 1: Theorem 1A in Paule:21
  • Example 3
  • Example 4: Cont.
  • Example 5: Cont.
  • Example 6: Cont.
  • Example 7: Cont.
  • Example 8
  • ...and 17 more