Published March 23, 2026 | Version 1

Effective Dimensionality from Fisher Information Rank: Operational Validation on Tori, Fractals, Random Graphs, and Coarse-Grained Lattices

Authors/Creators

Description

We validate Fisher Information Matrix rank as an exact, parameter-free measure of effective spatial dimension. Key results: exact integer dimension on flat tori through d=4, Hausdorff dimension on fractals, a novel disorder direction on random geometric graphs. Code available at github.com/IanD25/D_eff-Test-1.0. Preprint pending arXiv endorsement

Files

DS_Phase1_MANUSCRIPT_FINAL.pdf

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Additional details

Dates

Submitted
2026-03

Software

Repository URL
https://github.com/IanD25/D_eff-Test-1.0/tree/main/PHASE1_GEOMETRIC
Programming language
Python
Development Status
Active