Criterion for linear independence of functions
Iouri V. Romanovski

TL;DR
This paper establishes a criterion for determining the linear independence of functions based on the existence of a nonsingular matrix formed by their evaluations at specific points, generalizing forward elimination.
Contribution
It introduces a generalized forward elimination method to characterize linear independence of functions via nonsingular evaluation matrices.
Findings
Functions are linearly independent iff their evaluation matrix is nonsingular.
Provides a practical criterion for checking linear independence.
Extends classical linear algebra concepts to function spaces.
Abstract
Using a generalization of forward elimination, it is proved that functions , where is a field, are linearly independent if and only if there exists a nonsingular matrix of size , where .
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
TopicsNeural Networks and Applications
