Preservation of immersed or injective properties by composing generic generalized distance-squared mappings
Shunsuke Ichiki, Takashi Nishimura

TL;DR
This paper demonstrates that composing a generic generalized distance-squared mapping preserves the non-singular and injective properties in equidimensional cases, despite singularities in such mappings.
Contribution
It shows that the non-singular and injective properties are preserved under composition with generic generalized distance-squared mappings in equidimensional cases.
Findings
Non-singular property preserved under composition
Injective property preserved under composition
Singularities are complex in higher dimensions
Abstract
Any generalized distance-squared mapping of equidimensional case has singularities, and their singularity types are wrapped into mystery in higher dimensional cases. Any generalized distance-squared mapping of equidimensional case is not injective. Nevertheless, in this paper, it is shown that the non-singular property or the injective property of a mapping is preserved by composing a generic generalized distance-squared mapping of equidimensional case.
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Taxonomy
TopicsIterative Methods for Nonlinear Equations · Matrix Theory and Algorithms · Advanced Optimization Algorithms Research
