A Weierstrass-Type Representation for Maximal Surfaces in the Five-Dimensional Minkowski Space ℝ15

We develop a Weierstrass-type representation for conformal maximal surfaces in the five-dimensional Minkowski space [Formula: see text]. The construction extends the classical representation theory for maximal surfaces in [Formula: see text] and its higher-codimensional analogues by producing explicit holomorphic data generating isotropic complex differentials in Lorentzian signature [Formula: see text]. We also derive an integral-free formulation based on a single holomorphic seed function, giving an explicit reconstruction procedure analogous to classical lower-dimensional cases. Several examples are computed, including polynomial and exponential families, and degeneracy loci are described explicitly. The role of the Lorentzian metric is analyzed in detail.

Institutions

Publication Details

Journal
International Journal of Computational Geometry & Applications
Published
2026-08-28
DOI
https://doi.org/10.1142/s0218195926500032
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

A Weierstrass-Type Representation for Maximal Surfaces in the Five-Dimensional Minkowski Space ℝ15

International Journal of Computational Geometry & Applications
Geometric Analysis and Curvature Flows
article

A Weierstrass-Type Representation for Maximal Surfaces in the Five-Dimensional Minkowski Space ℝ15

article en

Abstract

We develop a Weierstrass-type representation for conformal maximal surfaces in the five-dimensional Minkowski space [Formula: see text]. The construction extends the classical representation theory for maximal surfaces in [Formula: see text] and its higher-codimensional analogues by producing explicit holomorphic data generating isotropic complex differentials in Lorentzian signature [Formula: see text]. We also derive an integral-free formulation based on a single holomorphic seed function, giving an explicit reconstruction procedure analogous to classical lower-dimensional cases. Several examples are computed, including polynomial and exponential families, and degeneracy loci are described explicitly. The role of the Lorentzian metric is analyzed in detail.

International Journal of Computational Geometry & Applications
Texas Tech University (US)
Openalex Percentile: Top 6%
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.