Finite-difference zeta function regularisation and spectral weighting in effective actions

TL;DR

This paper introduces a finite-difference approach to zeta function regularisation, enabling scale-dependent spectral weighting and connecting effective actions with nonextensive scaling and information geometry.

Contribution

It proposes a novel finite-difference construction replacing the derivative at zero in zeta regularisation, linking spectral aggregation with nonextensive and geometric structures.

Findings

In finite systems, it produces Tsallis-type quantities.

In infinite dimensions, it yields an effective action with scale-dependent spectral weighting.

Unifies zeta regularisation, effective action, and information geometry under a common principle.

Abstract

Standard zeta function regularisation enforces a scale-independent prescription for spectral aggregation, effectively fixing the relative weight of spectral contributions. We relax this constraint by replacing the derivative at $s=0$ with a finite-difference construction based on $\zeta_{A}(0)$ and $\zeta_{A}(q-1)$. In finite systems, it gives rise in the macroscopic limit to Tsallis-type quantities and a $q$-controlled information-geometric structure. In infinite dimensions, it yields an effective action whose variation $\delta\Gamma_{q}=\mathrm{Tr}(A^{-q}\delta A)$ realises scale-dependent spectral weighting. Within this framework, zeta function regularisation, effective action, nonextensive scaling, and information geometry emerge as manifestations of a common principle of finite-difference spectral aggregation.