A topological proxy for the ill-conditioning of the discrete inverse conductance problem, and an independent integrator check of a resistor-capacitor bench

The Jacobian of the Dirichlet-to-Neumann map of a resistor network with respect to its edge conductances has one column per edge; the exponential growth of its condition number with the depth of the unknowns is the central finding of the companion preprints. This preprint asks what persistent homology (GUDHI, Vietoris-Rips, H0) sees in the cloud of these columns, layer by layer in depth. On a square disk the median H0 death time of a layer falls with depth like one over the depth (a power law, found after the data) while the smallest singular value falls exponentially; the two are correlated across layers because both are monotone, but the proxy does not give the rate. On the {7,3} hyperbolic tiling the proxy shows no collapse over the four layers available. The preregistered exponential size of the effect was wrong, and two known-answer gates failed as written through design errors of the author, which are kept. A second preregistered experiment integrates the proposed garage resistor-capacitor boards with the CVODE integrator of rusty-SUNDIALS and compares them with the exact modal solution used by the lab's virtual bench: fitted time constants agree to 3e-5, the predicted hyperbolic-to-square time-constant ratio 0.604 +/- 0.03 survives a 1 % component spread (mean 0.605), and the waveform prediction was refuted narrowly on the square board where the integrator ran at looser tolerances. This checks the model code, not the hardware. All deviations, failed gates and refuted predictions are listed. Nothing here concerns holography. Companions: doi:10.5281/zenodo.23228685 and doi:10.5281/zenodo.23241463.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-08
DOI
https://doi.org/10.5281/zenodo.23244555
Primary Topic
Topological and Geometric Data Analysis
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

A topological proxy for the ill-conditioning of the discrete inverse conductance problem, and an independent integrator check of a resistor-capacitor bench

Xavier Callens
Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
preprint

A topological proxy for the ill-conditioning of the discrete inverse conductance problem, and an independent integrator check of a resistor-capacitor bench

Xavier Callens
preprint en

Abstract

The Jacobian of the Dirichlet-to-Neumann map of a resistor network with respect to its edge conductances has one column per edge; the exponential growth of its condition number with the depth of the unknowns is the central finding of the companion preprints. This preprint asks what persistent homology (GUDHI, Vietoris-Rips, H0) sees in the cloud of these columns, layer by layer in depth. On a square disk the median H0 death time of a layer falls with depth like one over the depth (a power law, found after the data) while the smallest singular value falls exponentially; the two are correlated across layers because both are monotone, but the proxy does not give the rate. On the {7,3} hyperbolic tiling the proxy shows no collapse over the four layers available. The preregistered exponential size of the effect was wrong, and two known-answer gates failed as written through design errors of the author, which are kept. A second preregistered experiment integrates the proposed garage resistor-capacitor boards with the CVODE integrator of rusty-SUNDIALS and compares them with the exact modal solution used by the lab's virtual bench: fitted time constants agree to 3e-5, the predicted hyperbolic-to-square time-constant ratio 0.604 +/- 0.03 survives a 1 % component spread (mean 0.605), and the waveform prediction was refuted narrowly on the square board where the integrator ran at looser tolerances. This checks the model code, not the hardware. All deviations, failed gates and refuted predictions are listed. Nothing here concerns holography. Companions: doi:10.5281/zenodo.23228685 and doi:10.5281/zenodo.23241463.

Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
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.

A topological proxy for the ill-conditioning of the discrete inverse conductance problem, and an independent integrator check of a resistor-capacitor bench — Xavier Callens · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS