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[Paper Review] Combinatorial Sums and Identities Involving Generalized Divisor Functions with Bounded Divisors

Maxie D. Schmidt|arXiv (Cornell University)|Apr 19, 2017
Advanced Mathematical Identities6 references3 citations
TL;DR

This paper derives new identities for generalized divisor functions σα(n) by analyzing higher-order derivatives of Lambert series generating functions Lα(q). The key contribution is a polynomially scaled expansion of σα(n) in terms of bounded divisor sums, offering a novel analytical framework for studying arithmetic functions with applications in number theory and modular forms.

ABSTRACT

The class of Lambert series generating functions (LGFs) denoted by $L_{\alpha}(q)$ formally enumerate the generalized sum-of-divisors functions, $\sigma_{\alpha}(n) = \sum_{d|n} d^{\alpha}$, for all integers $n \geq 1$ and fixed real-valued parameters $\alpha \geq 0$. We prove new formulas expanding the higher-order derivatives of these LGFs. The results we obtain are combined to express new identities expanding the generalized sum-of-divisors functions. These new identities are expanded in the form of sums of polynomially scaled multiples of a related class of divisor sums depending on $n$ and $\alpha$.

Motivation & Objective

  • To derive explicit formulas for higher-order derivatives of Lambert series generating functions Lα(q) that enumerate σα(n).
  • To establish new combinatorial identities expressing σα(n) as sums of polynomially scaled divisor sums.
  • To analyze the structure of generalized divisor functions σα(n) under bounded divisor constraints.
  • To provide a systematic method for expanding σα(n) using generating function derivatives and divisor sum decompositions.

Proposed method

  • The paper employs formal differentiation of Lambert series generating functions Lα(q) = ∑_{n≥1} σα(n) q^n to derive higher-order derivative expansions.
  • It introduces a transformation that expresses the derivatives of Lα(q) as combinations of divisor sums with polynomial coefficients depending on α and n.
  • The method relies on manipulating the Dirichlet series structure of σα(n) through generating function techniques.
  • Polynomial scaling factors are derived from the Taylor expansion of the generating function's derivatives around q = 0.
  • The resulting identities are constructed by matching coefficients in the power series expansion of the differentiated Lα(q).
  • The framework is generalized to arbitrary real α ≥ 0, enabling broad applicability to arithmetic functions.

Experimental results

Research questions

  • RQ1How can higher-order derivatives of Lambert series generating functions Lα(q) be systematically expanded to reveal new identities for σα(n)?
  • RQ2What is the structure of the polynomially scaled divisor sum expansions that represent σα(n) for fixed α and n?
  • RQ3How do bounded divisor constraints influence the form and convergence of these generalized divisor function identities?
  • RQ4Can the derivative-based approach yield closed-form expressions for σα(n) in terms of elementary divisor sums and polynomials?
  • RQ5What is the role of the parameter α in shaping the combinatorial structure of the derived identities?

Key findings

  • The paper derives a closed-form expression for the k-th derivative of Lα(q), which is expressed as a sum over divisor functions with polynomial coefficients in k and n.
  • New identities are established that represent σα(n) as a linear combination of divisor sums, each scaled by a polynomial in n and α.
  • The derived expansions are valid for all real α ≥ 0 and all integers n ≥ 1, ensuring broad applicability.
  • The method reveals a recursive structure in the coefficients of the divisor sum expansions, linking higher-order derivatives to lower-order divisor functions.
  • The identities demonstrate that σα(n) can be decomposed into a finite sum of weighted divisor sums with rational polynomial weights.
  • The framework provides a systematic way to generate identities for σα(n) by choosing different orders of differentiation on Lα(q).

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This review was created by AI and reviewed by human editors.