Conceptio › Archive › arXiv (OAI)
arXiv (OAI) open access

Theoretical analysis and numerical solution to a vector equation $Ax-\|x\|_1x=b$

Wang, Yuezhi et al. · 2025 · arxiv_oai
arXiv (OAI) · Papers · 2025
Open Source ↗Direct PDF ↓
numerical-analysis
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

[2507.04971] Theoretical analysis and numerical solution to a vector equation $Ax-\|x\|_1x=b$ Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Mathematics > Numerical Analysis arXiv:2507.04971 (math) [Submitted on 7 Jul 2025 ( v1 ), last revised 11 Apr 2026 (this version, v2)] Title: Theoretical analysis and numerical solution to a vector equation $Ax-\|x\|_1x=b$ Authors: Yuezhi Wang , Gwi Soo Kim , Jie Meng View a PDF of the paper titled Theoretical analysis and numerical solution to a vector equation $Ax-\|x\|_1x=b$, by Yuezhi Wang and 1 other authors View PDF HTML (experimental) Abstract: Theoretical and computational properties of a vector equation $Ax-\|x\|_1x=b$ are investigated, where $A$ is an invertible $M$-matrix and $b$ is a nonnegative vector. Existence and uniqueness of a nonnegative solution is proved. Fixed-point iterations, including a relaxed fixed-point iteration and Newton iteration, are proposed and analyzed. A structure-preserving doubling algorithm is proved to be applicable in computing the required solution, the convergence is at least linear with rate 1/2. Numerical experiments are performed to demonstrate the effectiveness of the proposed algorithms. Subjects: Numerical Analysis (math.NA) Cite as: arXiv:2507.04971 [math.NA] (or arXiv:2507.04971v2 [math.NA] for this version) https://doi.org/10.48550/arXiv.2507.04971 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Jie Meng [ view email ] [v1] Mon, 7 Jul 2025 13:17:45 UTC (104 KB) [v2] Sat, 11 Apr 2026 06:43:31 UTC (86 KB) Full-text links: Access Paper: View a PDF of the paper titled Theoretical analysis and numerical solution to a vector equation $Ax-\|x\|_1x=b$, by Yuezhi Wang and 1 other authors View PDF HTML (experimental) TeX Source view license Current browse context: math.NA < prev | next > new | recent | 2025-07 Change to browse by: cs cs.NA math References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

Related documents

Record · ID 139203 · SHA-256 6170255ab5dc6ec9
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive