Totally Real Mappings and Independent Mappings
Howard Jacobowitz, Peter Landweber

TL;DR
This paper investigates the minimal target dimension N for smooth maps from n-dimensional manifolds to complex space, focusing on independent maps and totally real immersions, to understand their optimal embedding properties.
Contribution
It introduces the concepts of independent maps and totally real immersions, analyzing their existence and optimal dimensions for all manifolds of a given dimension.
Findings
Determined bounds for N in independent maps.
Established conditions for totally real immersions.
Compared the dimensions for different classes of maps.
Abstract
We consider two classes of smooth maps M^n\to C ^N. Definition. A map f:M^n\to C^N is called an independent map if df_1(p)\wedge...\wedge df_N (p)\neq 0. We are interested in the optimal value of N for all manifolds of dimension n for independent maps and also for totally real immersions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Topology and Set Theory
