Applications of Matrices Multiplication to Determinant and Rotations formulas in $\setR^n$
Alex Goldvard, Lavi Karp

TL;DR
This paper provides a straightforward proof of the determinant's multiplicative property, a constructive rotation formula, and classifies invariant subspaces of 4D equiangular rotations, making these topics accessible in elementary linear algebra.
Contribution
It introduces a simple proof of the determinant property, a constructive rotation matrix formula, and classifies invariant subspaces in 4D rotations, enhancing understanding of linear algebra concepts.
Findings
Simple proof of determinant multiplicative property
Constructive formula for rotation matrices
Classification of invariant subspaces in 4D rotations
Abstract
This note deals with two topics of linear algebra. We give a simple and short proof of the multiplicative property of the determinant and provide a constructive formula for rotations. The derivation of the rotation matrix relies on simple matrix calculations and thus can be presented in an elementary linear algebra course. We also classify all invariant subspaces of equiangular rotations in 4D.
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
TopicsMathematics and Applications · Matrix Theory and Algorithms
