{"title":"Powers of low rank sparse matrices","authors":"Keren Cohen","doi":"10.1016/j.tcs.2025.115082","DOIUrl":null,"url":null,"abstract":"<div><div>Let <em>A</em> be a matrix of order <em>n</em> over an arbitrary field <em>F</em>, and let <em>k</em> be a positive integer. We present an algorithm that computes <span><math><msup><mrow><mi>A</mi></mrow><mrow><mi>k</mi></mrow></msup></math></span> which is faster than the known methods whenever <em>A</em> is sufficiently sparse and its rank is sufficiently small. In fact, already when <span><math><mi>r</mi><mi>a</mi><mi>n</mi><mi>k</mi><mo>(</mo><mi>A</mi><mo>)</mo><mo>=</mo><mi>O</mi><mo>(</mo><msup><mrow><mi>n</mi></mrow><mrow><mn>1</mn><mo>−</mo><mi>ϵ</mi></mrow></msup><mo>)</mo></math></span> for a fixed <span><math><mi>ϵ</mi><mo>></mo><mn>0</mn></math></span> our method yields improved running times.</div></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1032 ","pages":"Article 115082"},"PeriodicalIF":0.9000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397525000209","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Let A be a matrix of order n over an arbitrary field F, and let k be a positive integer. We present an algorithm that computes which is faster than the known methods whenever A is sufficiently sparse and its rank is sufficiently small. In fact, already when for a fixed our method yields improved running times.
期刊介绍:
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.