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Recurrence relations for polynomial sequences via Riordan matrices

A. Luzon, M. A. Morón

arXiv:0904.2672v2math.CO

TL;DR

The paper develops recurrence relations for generalized Appell polynomials using the Riordan group. It gives a general recurrence for polynomial sequences associated with Riordan matrices, characterizes Riordan arrays by rows, and establishes eventual finiteness when g is a polynomial.

  • Problem

    The paper seeks recurrence relations for families of generalized Appell polynomials.

    Source: §1 · p. 1
  • Method

    The Riordan group is the paper’s main tool for obtaining recurrence relations for polynomial sequences associated with Riordan matrices.

    Source: §1 · pp. 1–2
  • Results

    The paper gives a general recurrence for polynomial sequences associated with Riordan matrices, characterizes Riordan arrays by rows, and shows the recurrence is eventually finite when g is a polynomial.

    Source: §1 · p. 2, §3.1 · p. 12
  • Takeaways & Limitations

    The row characterization provides a way to characterize Riordan arrays by their rows.

    Source: §1 · p. 2

    The framework assumes a field K of characteristic zero, with N denoting the natural numbers.

    Source: §1 · p. 4

Abstract

from arXiv · show

We give recurrence relations for any family of generalized Appell polynomials unifying so some known recurrences of many classical sequences of polynomials. Our main tool to get our goal is the Riordan group. We use the product of Riordan matrices to interpret some relationships between different families of polynomials. Moreover using the Hadamard product of series we get a general recurrence relation for the polynomial sequences associated to the so called generalized umbral calculus.

1. Introduction

The paper develops recurrence relations for polynomial sequences associated with Riordan matrices and characterizes Riordan arrays by their rows. It extends this framework to generalized Appell polynomials and uses Riordan matrix products to interpret relationships between polynomial families.

  • The paper gives a general recurrence for polynomial sequences naturally associated with Riordan matrices and characterizes Riordan arrays by their rows.The main recurrence follows from the construction algorithm.Source: §1 · pp. 2–4
  • The Pascal triangle motivates interpreting Riordan matrices by rows, with its combinatorial recurrence connecting row and column interpretations and inspiring a generalization of the recurrence rule.The paper presents Algorithm 1 as this generalization.Source: §1 · p. 4
  • For Fibonacci, Pell, and Morgan–Voyce polynomials, associated Riordan matrices determine the sequences, and matrix products recover known relationships between families.The examples illustrate how Riordan-matrix structure appears in the families’ recurrence relations.Source: §1 · p. 4
  • The framework extends the examples, recovers polynomial generating functions through Riordan-array action, and represents usual umbral composition as a Riordan-matrix product.Source: §1 · p. 4
  • Hadamard products extend the recurrence framework to generalized Appell polynomial sequences in generalized umbral calculus.These recurrences follow from the main recurrence and construction algorithm.Source: §1 · p. 4

2. Some classical examples as motivation

The section illustrates how Riordan arrays connect row-based polynomial recurrences with classical sequences, including Pascal, Fibonacci, Pell, and Morgan–Voyce polynomials.

  • Riordan arrays provide a way to pass from a column description to a row description.Source: §2 · p. 5
  • The Pascal polynomials satisfy the recurrence p_n+1(x) = (x + 1)p_n(x), illustrating a row-based description.Source: §2 · pp. 5–6
  • The Fibonacci polynomials are associated with T(1|1 − x^2), whose triangle follows d_n,k = d_n−2,k + d_n−1,k−1 for k > 0.Source: §2 · p. 6
  • The Pell polynomials are related to Fibonacci polynomials by P_n(x) = F_n(2x).Source: §2 · pp. 7–8
  • The two Morgan–Voyce triangles share a construction rule but have different initial conditions, and Riordan-array products interpret relationships between their polynomial sequences.Source: §2 · pp. 8–9

3. Polynomial sequences associated to Riordan matrices and its recurrence relations

This section characterizes polynomial sequences associated with lower-triangular matrices via recurrence relations, identifying Riordan matrices with sequences satisfying the stated recurrence. It uses Riordan matrix operations and products to connect umbral composition with Riordan-group structure and derive relations among polynomial families, including Chebyshev, Morgan–Voyce, Pell, Fibonacci, Fermat, and Boubaker polynomials.

3.1. The main theorem.

  • A lower-triangular matrix is a Riordan matrix, or an arithmetical triangle in the sense of, exactly when its associated polynomials satisfy the stated recurrence for sequences with g_0 ≠ 0.In that case the matrix is T(f|g); the associated polynomial coefficients are taken from its rows, and the sequence is an ordinary polynomial sequence when the diagonal entries are nonzero.Source: §3.1 · p. 10
  • When g(x) has finite degree m, the recurrence from Theorem 5 is eventually finite.The passage states this for a polynomial g(x) whose leading coefficient g_m is nonzero.Source: §3.1 · p. 12
  • Under umbral composition, multiplication of Riordan matrices corresponds to composition of their associated polynomial sequences; the resulting operation on the specified sequence set forms a group isomorphic to the Riordan group.Source: §3.1 · p. 14

3.2. Some relationships between polynomials sequences of Riordan type and some classical examples.

  • Left multiplication by T(h | 1) corresponds to fixed elementary row operations on the matrix T(f | g), determined by h’s coefficients; for h(x)=a+bx, q0(x)=ap0(x) and qn(x)=bpn−1(x)+apn(x).Source: §3.2 · p. 16
  • A small perturbation of the first-kind Chebyshev sequence is represented by a Riordan matrix, and the matrix operations recover a relation between Tn(x) and Un(x).The generating function obtained is identified as that of the classical first-kind Chebyshev polynomials.Source: §3.2 · pp. 17–19
  • Row-and-column shifts of Riordan matrices yield recurrences between their associated polynomial families, including families associated to T(fg^n|g).Once the family associated to T(f|g) is known, the paper says those for T(fg^n|g) can be calculated for n in Z.Source: §3.2 · p. 20
  • The examples use Riordan arrays to express relationships between the two kinds of Morgan–Voyce polynomials and between Pell and Fibonacci polynomials.The Morgan–Voyce families are identified with arrays T(1|(1 − x)^2) and T(1 − x|(1 − x)^2), respectively; the Pell–Fibonacci relation is also presented through their arrays.Source: §3.2 · pp. 21, 23
  • A product of Riordan matrices with affine second components gives a general relation between the associated polynomial families of the product and its factors.Proposition 18 frames the relation through T(l|m) = T(γ|α + βx)T(f|g)T(c|a + bx).Source: §3.2 · p. 22
  • The Fermat polynomials are constructed from a Riordan array, and the section relates them to second-kind Chebyshev polynomials and relates Boubaker polynomials to both families.The Boubaker discussion identifies a relation to second-kind Chebyshev polynomials and then to Fermat polynomials.Source: §3.2 · pp. 23–25

4. Some applications to the generalized umbral calculus: the associated polynomials and its recurrence relations.

This section applies the generalized umbral-calculus framework to associated polynomial sequences and their recurrence relations, using Riordan matrices and Hadamard weighting. It develops consequences for Riordan-type sequences, Sheffer polynomials, and classical Laguerre and Hermite polynomials, and connects Riordan arrays with convolution sequences, delta operators, and generalized Appell sequences.

Sheffer sequences

  • The Sheffer example specializes the preceding results to give recurrence relations for Sheffer polynomials, their coefficients, and their derivatives.A Sheffer sequence is identified through a Riordan matrix T(f | g).Source: §4 · pp. 26, 32, 33

Brenke polynomials

  • Applying a fixed T(f | 1) to different series h produces classical polynomial families, including the Brenke family and its stated Appell and reversed Taylor special cases.The section also uses Riordan-matrix relationships to connect classical Sheffer sequences.Source: §4 · p. 27

Pidduck and Mittag-Leffler polynomials

  • The examples identify factorially scaled versions of the Pidduck and Mittag-Leffler families and state that the two families are related.The Pidduck example gives explicit polynomials through degree four, while the Mittag-Leffler example displays terms through degree four.Source: §4 · pp. 28–29

Theorem 26

  • Theorem 26 characterizes generalized Appell polynomials [2] by an if-and-only-if condition using coefficient sequences f, g, and h and the Hadamard h-weighted associated polynomials of T(f | g).The conditions include f_0, g_0 ≠ 0 and h_n ≠ 0; the theorem also gives recurrences for the family’s coefficients.Source: §4 · p. 30

Corollary 28

  • For a Riordan-type polynomial sequence, Corollary 28 relates its Hadamard h-weighted and h′-weighted sequences when h is Hadamard invertible.The corollary expresses the relation using derivatives of the series involved.Source: §4 · pp. 31–32

Laguerre and Hermite examples

  • The Laguerre and Hermite examples yield recurrence relations for the polynomials and their coefficients; the Hermite construction also recovers the usual polynomials, their general term, and their parity relation.The Laguerre example uses the Pascal triangle representation; the Hermite polynomials satisfy eHn(−x) = (−1)^n eHn(x).Source: §4 · pp. 34–36

Hadamard-weighted sequences

  • For a Hadamard-unit h, the associated map is bijective and transports umbral composition into an operation making Rh a group, with Hh a group isomorphism.This describes how Riordan-group operations transfer to Hadamard h-weighted sequences.Source: §4 · p. 37

Convolution sequences

  • A polynomial sequence is a convolution sequence exactly when it is an ex-Hadamard weighted sequence generated by a Riordan sequence associated with T(g | g).The associated Riordan sequence is linked to the Riordan array T(g | g).Source: §4 · pp. 38–39

Convolution sequences and delta operators

  • For a convolution sequence associated with T(g | g), the binomial-type sequence rn(x) = n!sn(x) has delta operator x A(x)(D), where A is that array’s A-sequence.Conversely, the sequence derived from the delta operator x A(x)(D) is the convolution sequence associated with T(A | A).Source: §4 · p. 39

Generalized Appell characterization

  • A matrix has an associated generalized Appell sequence exactly when its induced linear action on K[x] is given by power series f, g, and h with f0 and g0 nonzero and every hn nonzero.This characterizes generalized Appell sequences through linear transformations in K[x].Source: §4 · p. 40
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