Some numerical computations on smooth real projective hypersurfaces

For a smooth hypersurface defined by a homogeneous polynomial with real coefficients, algorithms are presented to determine the connected components and compute the Euler characteristic for both the real part of the hypersurface and its complement in real projective space. A bipartite graph, which describes the boundary relationships amongst all connected components, is also computed, which, for example, can be used to determine if a connected component of the real hypersurface is one-sided or two-sided. For curves, the nesting structure and dividing type are also considered. Several examples are used to demonstrate the numerical computations.

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Publication Details

Journal
Journal of Algebra and Its Applications
Published
2025-08-19
DOI
https://doi.org/10.1142/s0219498827500083
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Some numerical computations on smooth real projective hypersurfaces

Jonathan D. Hauenstein, Emma L. Schmidt
Journal of Algebra and Its Applications
Advanced Numerical Analysis Techniques
article

Some numerical computations on smooth real projective hypersurfaces

Jonathan D. Hauenstein, Emma L. Schmidt
article en

Abstract

For a smooth hypersurface defined by a homogeneous polynomial with real coefficients, algorithms are presented to determine the connected components and compute the Euler characteristic for both the real part of the hypersurface and its complement in real projective space. A bipartite graph, which describes the boundary relationships amongst all connected components, is also computed, which, for example, can be used to determine if a connected component of the real hypersurface is one-sided or two-sided. For curves, the nesting structure and dividing type are also considered. Several examples are used to demonstrate the numerical computations.

Journal of Algebra and Its Applications
University of Notre Dame (US)
Reduced inequalities
Openalex Percentile: Top 78%
Advanced Numerical Analysis Techniques
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