The Linearly Independent Non Orthogonal yet Energy Preserving (LINOEP) vectors
Pushpendra Singh, S.D. Joshi, R.K. Patney, Kaushik Saha

TL;DR
This paper introduces a novel transformation method called LINOEP that converts linearly independent vectors into non-orthogonal vectors that preserve energy, expanding the possibilities beyond traditional orthogonalization.
Contribution
The paper proposes the LINOEP method, a new transformation that produces energy-preserving, non-orthogonal, linearly independent vectors in an inner product space, differing from standard orthogonalization techniques.
Findings
LINOEP preserves the energy (norm squared) of vectors.
Multiple solutions exist for energy preservation.
LINOEP extends the concept of vector transformation beyond orthogonalization.
Abstract
It is well known that, in any inner product space, a set of linearly independent (LI) vectors can be transformed to a set of orthogonal vectors, spanning the same space, by the Gram-Schmidt Orthogonalization Method (GSOM). In this paper, we propose a transformation from a set of LI vectors to a set of LI non orthogonal yet energy (square of the norm) preserving (LINOEP) vectors in an inner product space and we refer it as LINOEP method. We also show that there are various solutions to preserve the square of the norm.
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.
