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Varying Cubic Dedekind Zeta Functions

Updated 23 January 2026
  • Varying cubic Dedekind zeta functions are families linked to cubic number fields, defined by series over ideals and exhibiting distinctive special values, zeros, and residue asymptotics.
  • The study employs analytic number theory techniques including explicit Euler products, Mellin inversion, and zero-density theorems to characterize limiting distributions and error terms.
  • Applications encompass refined asymptotic formulas for class numbers, regulators, and Euler–Kronecker constants, providing new insights into arithmetic invariants in cubic field families.

A varying cubic Dedekind zeta function refers to families of Dedekind zeta functions ζKc(s)\zeta_{K_c}(s) associated to cubic number fields KcK_c that are parametrized by an indexing set (often algebraic integers with special properties), with attention to the behavior of special values, zeros, residues, and value-distributions as the underlying cubic field varies. Contemporary research rigorously analyzes the statistical properties and limiting distributions induced by this variation, particularly in relation to Artin LL-functions, value-distribution phenomena, residue asymptotics, and explicit bounds in families. Key results apply both to Galois and non-Galois cubic fields and often integrate techniques from analytic number theory, representation theory, and arithmetic geometry.

1. Cubic Dedekind Zeta Functions and Parametrized Families

For a cubic number field KK, the Dedekind zeta function is defined by

ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}

where the sum ranges over nonzero integral ideals a\mathfrak{a} in the ring of integers OK\mathcal{O}_K, and N(a)N(\mathfrak{a}) denotes the norm. In the context of varying families, K=k(c1/3)K = k(c^{1/3}) is constructed over k=Q(3)k = \mathbb{Q}(\sqrt{-3}) for KcK_c0 square-free and congruent to KcK_c1 modulo KcK_c2 (Akbary et al., 2018). This parametrization yields a family of non-Galois or Galois cubic extensions with controlled arithmetic invariants.

The variation is studied through the ensemble KcK_c3, with each field linked to a Dedekind zeta function KcK_c4. The quotient KcK_c5 corresponds to a product of Artin KcK_c6-functions attached to cubic Hecke characters KcK_c7.

2. Value-Distribution Phenomena and Characteristic Functions

For fixed KcK_c8, key random variables are:

  • KcK_c9
  • LL0

The value-distribution of these quantities, as LL1 varies, is captured by an asymptotic distribution function LL2 defined by

LL3

where LL4 is either LL5 or LL6 (Akbary et al., 2018). The characteristic function LL7 of LL8 is computed explicitly as a convergent Euler product over prime ideals LL9, with separate cases for the logarithm and logarithmic derivative. The characteristic function satisfies super-Gaussian decay,

KK0

ensuring smooth probability densities KK1 via Fourier inversion.

3. Arithmetic Selection Constraints and Analytic Techniques

The congruence condition KK2 and square-freeness ensure that KK3 is a primitive Hecke character with minimal conductor, facilitating orthogonality in averaging and primitive KK4-function behavior (Akbary et al., 2018).

Analysis utilizes:

  • Exponential sum averaging KK5 with Mellin inversion and contour shift to access value-distribution statistics.
  • Zero-density theorems and zero-free regions for KK6; in rectangles KK7, at most KK8 fields lack zero-freeness.
  • Large sieve inequalities for cubic characters control off-diagonal contributions.
  • Orthogonality relations over ray-class groups detect character values efficiently.

4. Asymptotic Formulas and Limiting Distributions

Limit theorems yield probability laws for log-values and logarithmic derivatives as KK9 varies, encapsulating dense arithmetic information on Dedekind zeta functions in the cubic family (Akbary et al., 2018). These results provide:

  • Explicit limiting distributions for the error term in the Brauer–Siegel theorem, where

ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}0

has limiting law ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}1 shifted by a constant, with ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}2 and ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}3 the class number and regulator, and ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}4 the discriminant.

  • Limiting distributions for the Euler–Kronecker constants ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}5 via

ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}6

as ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}7 varies.

5. Explicit Asymptotic Residue Bounds and Zero-Density Results

In general cubic fields, explicit upper and lower bounds for residues are established under GRH (Garcia et al., 2021). For ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}8 of degree ζK(s)=aOK1N(a)s\zeta_K(s) = \sum_{\mathfrak{a} \subset \mathcal{O}_K} \frac{1}{N(\mathfrak{a})^s}9 and discriminant a\mathfrak{a}0,

a\mathfrak{a}1

with a\mathfrak{a}2 and all constants explicit; the proof invokes Duke's short-sum theorem and optimized bounds for associated Artin a\mathfrak{a}3-functions (Garcia et al., 2021).

Zero-density results for cubic Dedekind zeta functions quantify the number of zeros in regions of the critical strip. For a\mathfrak{a}4 the count of zeros a\mathfrak{a}5 with a\mathfrak{a}6,

a\mathfrak{a}7

with a\mathfrak{a}8 (Kadiri et al., 2012). Explicit bounds also apply to zeros with a\mathfrak{a}9.

6. Mean Residue Asymptotics via Adjoint Zeta Constructions

Analysis of the mean density of residues OK\mathcal{O}_K0 in totally real cubic fields OK\mathcal{O}_K1 is formulated via adjoint zeta functions for OK\mathcal{O}_K2 acting on OK\mathcal{O}_K3. Using regularized trace formulas, one obtains

OK\mathcal{O}_K4

where OK\mathcal{O}_K5 is the second successive minimum of the trace form quadratic OK\mathcal{O}_K6 on OK\mathcal{O}_K7 (Matz, 2013). The corresponding Dirichlet series admits a rightmost simple pole at OK\mathcal{O}_K8, and Tauberian methods confirm sharp upper and lower bounds, with asymptotic matching up to arbitrarily small loss.

7. Central Values and Sign-Distribution in Non-Galois Cubic Fields

In families of non-Galois cubic fields (SOK\mathcal{O}_K9-fields), results show that the Dedekind zeta function can attain negative central values. For any fixed set of local specifications, the logarithmic density N(a)N(\mathfrak{a})0 of fields N(a)N(\mathfrak{a})1 with N(a)N(\mathfrak{a})2 satisfies

N(a)N(\mathfrak{a})3

with explicit construction methods using the Delone–Faddeev parametrization, Shintani zeta functions with congruence weights, and sieve techniques (Shankar et al., 2021). These phenomena are consistent with density conjectures for Artin N(a)N(\mathfrak{a})4-functions and models for low-lying zeros in families.

Table: Summary of Key Results for Varying Cubic Dedekind Zeta Functions

Focus Main Quantitative Result Reference
Value-distribution (N(a)N(\mathfrak{a})5, N(a)N(\mathfrak{a})6) Limiting probability laws, explicit Euler products (Akbary et al., 2018)
Residue bounds N(a)N(\mathfrak{a})7 Explicit GRH-based bounds for cubic fields (Garcia et al., 2021)
Zero-density (N(a)N(\mathfrak{a})8, N(a)N(\mathfrak{a})9) Explicit counts, Deuring–Heilbronn phenomenon (Kadiri et al., 2012)
Mean residue asymptotics K=k(c1/3)K = k(c^{1/3})0 bounds for K=k(c1/3)K = k(c^{1/3})1 (Matz, 2013)
Negative central value density K=k(c1/3)K = k(c^{1/3})2 for K=k(c1/3)K = k(c^{1/3})3 (Shankar et al., 2021)

These results characterize the statistical and analytic variations in Dedekind zeta functions and their invariants across cubic field families, leveraging advanced techniques including trace formulas, sieve methods, and deep zero-density estimates. This framework connects value-distribution theory, effective class number and regulator bounds, and density problems in the analytic theory of K=k(c1/3)K = k(c^{1/3})4-functions.

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