Note on the coincidence of two Henselizations

We compare two Henselizations of a residually discrete valuation domain. Our constructive proof that a certain natural morphism is an isomorphism is also a proof in classical mathematics. Although this isomorphism is implicitly accepted as obvious in the literature, it seems that no proof was previously available.

Authors

Institutions

Publication Details

Journal
Journal of Algebra and Its Applications
Published
2025-03-07
DOI
https://doi.org/10.1142/s021949882650194x
Primary Topic
Advanced Topology and Set Theory
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Note on the coincidence of two Henselizations

Henri Lombardi, Stefan Neuwirth, María Emilia Alonso García
Journal of Algebra and Its Applications
Advanced Topology and Set Theory
article

Note on the coincidence of two Henselizations

Henri Lombardi, Stefan Neuwirth, María Emilia Alonso García
article en

Abstract

We compare two Henselizations of a residually discrete valuation domain. Our constructive proof that a certain natural morphism is an isomorphism is also a proof in classical mathematics. Although this isomorphism is implicitly accepted as obvious in the literature, it seems that no proof was previously available.

Journal of Algebra and Its Applications
Universidad Complutense de Madrid (ES), Centre National de la Recherche Scientifique (FR), Laboratoire de Mathématiques de Besançon (FR), Université Marie et Louis Pasteur (FR)
Reduced inequalities
Openalex Percentile: Top 98%
Advanced Topology and Set Theory
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.