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Optimal estimates for far field asymptotics of solutions to the quasi-geostrophic equation

Yamamoto, Masakazu et al. · arxiv_oai_expanded
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analysis of pdes

[1904.12126] Optimal estimates for far field asymptotics of solutions to the quasi-geostrophic equation Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Mathematics > Analysis of PDEs arXiv:1904.12126 (math) [Submitted on 27 Apr 2019] Title: Optimal estimates for far field asymptotics of solutions to the quasi-geostrophic equation Authors: Masakazu Yamamoto , Yuusuke Sugiyama View a PDF of the paper titled Optimal estimates for far field asymptotics of solutions to the quasi-geostrophic equation, by Masakazu Yamamoto and Yuusuke Sugiyama View PDF HTML (experimental) Abstract: The initial value problem for the two dimensional dissipative quasi-geostrophic equation of the critical and the supercritical cases is considered. Anomalous diffusion on this equation provides slow decay of solutions as the spatial parameter tends to infinity. In this paper, uniform estimates for far field asymptotics of solutions are given. Comments: 9 pages Subjects: Analysis of PDEs (math.AP) Cite as: arXiv:1904.12126 [math.AP] (or arXiv:1904.12126v1 [math.AP] for this version) https://doi.org/10.48550/arXiv.1904.12126 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Proc. Amer. Math. Soc. 149 (2021), 1099--1110 Related DOI : https://doi.org/10.1090/proc/15305 Focus to learn more DOI(s) linking to related resources Submission history From: Masakazu Yamamoto [ view email ] [v1] Sat, 27 Apr 2019 07:59:30 UTC (15 KB) Full-text links: Access Paper: View a PDF of the paper titled Optimal estimates for far field asymptotics of solutions to the quasi-geostrophic equation, by Masakazu Yamamoto and Yuusuke Sugiyama View PDF HTML (experimental) TeX Source view license Current browse context: math.AP < prev | next > new | recent | 2019-04 Change to browse by: 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

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