Year: 2025
Type: article
Abstract: Let $$C_h$$ C h be a composition operator mapping $$L^2(\Omega _1)$$ L 2 ( Ω 1 ) into $$L^2(\Omega _2)$$ L 2 ( Ω 2 ) for some open sets $$\Omega _1, \Omega _2 \subseteq {\mathbb {R}}^n$$ Ω 1 , Ω 2 ⊆ R n . We characterize the mappings h that transform Riesz bases of $$L^2(\Omega _1)$$ L 2 ( Ω 1 ) into Riesz bases of $$L^2(\Omega _2)$$ L 2 ( Ω 2 ) . Restricting our analysis to differentiable mappings, we demonstrate that mappings h that preserve Riesz bases have Jacobian determinants that are bounded away from zero and infinity. We discuss implications of these results for approximation theory, highlighting the potential of using bijective neural networks to construct Riesz bases with favorable approximation properties.
Authors: Yahya Saleh, Armin Iske
Language: English
Subfield: Applied Mathematics
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,090
Award: G5252384289
OpenAlex ID: W4416946471
