A Short Proof for Gap Independence of Simultaneous Iteration
Edo Liberty

TL;DR
This paper presents a concise, self-contained proof demonstrating that the simultaneous iterations algorithm's effectiveness in finding the top singular space does not depend on the spectral gap, simplifying previous complex proofs.
Contribution
It offers a very short, accessible proof of the spectral gap independence property for the simultaneous iterations algorithm, improving understanding and clarity.
Findings
Proof is terse but self-contained
Spectral gap independence of the algorithm confirmed
Accessible to linear algebra practitioners
Abstract
This note provides a very short proof of a spectral gap independent property of the simultaneous iterations algorithm for finding the top singular space of a matrix. See Rokhlin-Szlam-Tygert-2009, Halko-Martinsson-Tropp-2011 and Musco-Musco-2015. The proof is terse but completely self contained and should be accessible to the linear algebra savvy reader.
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 Optimization Algorithms Research · Sparse and Compressive Sensing Techniques
