Characterizing bi-harmonic homomorphisms in three-dimensional unimodular Lie groups

This study is dedicated to the classification of bi-harmonic homomorphisms $\varphi\colon(G,g)\to (H,h)$, where $G$ and $H$ represent connected and simply connected three-dimensional unimodular Lie groups, while $g$ and $h$ denote left invariant Riemannian metrics.

Authors

Institutions

Publication Details

Journal
Vestnik Udmurtskogo Universiteta Matematika Mekhanika Komp yuternye Nauki
Published
2025-06-20
DOI
https://doi.org/10.35634/vm250203
Primary Topic
Geometric Analysis and Curvature Flows
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterizing bi-harmonic homomorphisms in three-dimensional unimodular Lie groups

Kaddour Zegga, Wassim Merchela, Abdelkader Zagane
Vestnik Udmurtskogo Universiteta Matematika Mekhanika Komp yuternye Nauki
Geometric Analysis and Curvature Flows
article

Characterizing bi-harmonic homomorphisms in three-dimensional unimodular Lie groups

Kaddour Zegga, Wassim Merchela, Abdelkader Zagane
article en

Abstract

This study is dedicated to the classification of bi-harmonic homomorphisms $\varphi\colon(G,g)\to (H,h)$, where $G$ and $H$ represent connected and simply connected three-dimensional unimodular Lie groups, while $g$ and $h$ denote left invariant Riemannian metrics.

Vestnik Udmurtskogo Universiteta Matematika Mekhanika Komp yuternye NaukiVol. 35(2)
Université Mustapha Stambouli de Mascara (DZ)
Reduced inequalities
Openalex Percentile: Top 79%
Geometric Analysis and Curvature Flows
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.