A finite reduction for spectral sets of fixed cardinality in cyclic groups

For every m-point spectral set in a finite cyclic group GN, we construct an m-point spectral set in a group GM, where M ∣ N and M ∣ ∏p≤m pm−1. The construction is determined by the source set in fixed Chinese remainder coordinates. It maps orthogonal character sets injectively to the smaller group, admits lifts in the other direction, and preserves both tiling and the existence of one tiling complement for all spectra. The main step deletes a nonbranching digit in a primary coordinate. A fiber identity for Ramanujan energies treats the character order at which the usual change-of-order formula does not apply.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24091383
Primary Topic
Mathematical Analysis and Transform Methods
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

A finite reduction for spectral sets of fixed cardinality in cyclic groups

Jiahui Liang
Zenodo (CERN European Organization for Nuclear Research)
Mathematical Analysis and Transform Methods
preprint

A finite reduction for spectral sets of fixed cardinality in cyclic groups

Jiahui Liang
preprint en

Abstract

For every m-point spectral set in a finite cyclic group GN, we construct an m-point spectral set in a group GM, where M ∣ N and M ∣ ∏p≤m pm−1. The construction is determined by the source set in fixed Chinese remainder coordinates. It maps orthogonal character sets injectively to the smaller group, admits lifts in the other direction, and preserves both tiling and the existence of one tiling complement for all spectra. The main step deletes a nonbranching digit in a primary coordinate. A fiber identity for Ramanujan energies treats the character order at which the usual change-of-order formula does not apply.

Zenodo (CERN European Organization for Nuclear Research)
Mathematical Analysis and Transform Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon