Re-Phase Vol.4.4: Local Directional Fragility — Fréchet Derivatives, Linearized Admissible Directions, and Feature-Sensitive Perturbations

This volume develops the deterministic local directional layer of the Re-Phase framework. It reformulates earlier fiber-shrinking and weak-direction intuition as linearized admissible first-order direction diagnostics. Using Fréchet derivatives of nonlinear condition and feature maps, the note studies directions that are weakly visible to local observation but strongly affect a target feature. The construction is local, deterministic, and first-order. It distinguishes necessary linearized constraints from tangent-space equality under regularity, and treats Gram and Rayleigh objects only as inner-product dependent diagnostics. Fisher-weighted local geometry, path-space continuation, guard selection, gauge-like structures, and cohomological issues are deferred to later volumes.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-13
DOI
https://doi.org/10.5281/zenodo.20678274
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Re-Phase Vol.4.4: Local Directional Fragility — Fréchet Derivatives, Linearized Admissible Directions, and Feature-Sensitive Perturbations

Takashi Ito
Zenodo (CERN European Organization for Nuclear Research)
Seismic Imaging and Inversion Techniques
article

Re-Phase Vol.4.4: Local Directional Fragility — Fréchet Derivatives, Linearized Admissible Directions, and Feature-Sensitive Perturbations

Takashi Ito
article en

Abstract

This volume develops the deterministic local directional layer of the Re-Phase framework. It reformulates earlier fiber-shrinking and weak-direction intuition as linearized admissible first-order direction diagnostics. Using Fréchet derivatives of nonlinear condition and feature maps, the note studies directions that are weakly visible to local observation but strongly affect a target feature. The construction is local, deterministic, and first-order. It distinguishes necessary linearized constraints from tangent-space equality under regularity, and treats Gram and Rayleigh objects only as inner-product dependent diagnostics. Fisher-weighted local geometry, path-space continuation, guard selection, gauge-like structures, and cohomological issues are deferred to later volumes.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 5%
Seismic Imaging and Inversion Techniques
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.