Unitary canonical forms over Clifford algebras, and an observed unification of some real-matrix decompositions
Ran Gutin

TL;DR
This paper extends the spectral theorem to various $*$-algebras, unifying many classical matrix decompositions like SVD and Jordan forms through Clifford algebra spectral theory, with implications for programming and numerical algorithms.
Contribution
It introduces a unified framework for matrix decompositions via spectral theorems over Clifford algebras, connecting algebraic structures to classical decompositions.
Findings
Spectral theorems over Clifford algebras unify classical decompositions.
Matrix decompositions can be seen as canonical forms over different $*$-algebras.
Operator overloading can generalize algorithms for matrix diagonalization.
Abstract
We show that the spectral theorem -- which we understand to be a statement that every self-adjoint matrix admits a certain type of canonical form under unitary similarity -- admits analogues over other -algebras distinct from the complex numbers. If these -algebras contain nilpotents, then it is shown that there is a consistent way in which many classic matrix decompositions -- such as the Singular Value Decomposition, the Takagi decomposition, the skew-Takagi decomposition, and the Jordan decomposition, among others -- are immediate consequences of these. If producing the relevant canonical form of a self-adjoint matrix were a subroutine in some programming language, then the corresponding classic matrix decomposition would be a 1-line invocation with no additional steps. We also suggest that by employing operator overloading in a programming language, a numerical algorithm for…
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
TopicsMatrix Theory and Algorithms · Advanced Topics in Algebra · Algebraic and Geometric Analysis
