NNSC-Cobordism of Bartnik Data in High Dimensions

In this short note, we formulate three problems relating to nonnegative scalar curvature (NNSC) fill-ins. Loosely speaking, the first two problems focus on: When are (n−1)-dimensional Bartnik data (Σⁿ⁻¹ᵢ, γᵢ, Hᵢ), i=1,2, NNSC-cobordant? If (ⁿ⁻¹, γₛₜd, 0) is positive scalar curvature (PSC) cobordant...

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Veröffentlicht in:Symmetry, Integrability and Geometry: Methods and Applications
Datum:2020
Hauptverfasser: Hu, Xue, Shi, Yuguang
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут математики НАН України 2020
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/210580
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Zitieren:NNSC-Cobordism of Bartnik Data in High Dimensions. Xue Hu and Yuguang Shi. SIGMA 16 (2020), 030, 5 pages

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Hu, Xue
Shi, Yuguang
author_facet Hu, Xue
Shi, Yuguang
citation_txt NNSC-Cobordism of Bartnik Data in High Dimensions. Xue Hu and Yuguang Shi. SIGMA 16 (2020), 030, 5 pages
collection DSpace DC
container_title Symmetry, Integrability and Geometry: Methods and Applications
description In this short note, we formulate three problems relating to nonnegative scalar curvature (NNSC) fill-ins. Loosely speaking, the first two problems focus on: When are (n−1)-dimensional Bartnik data (Σⁿ⁻¹ᵢ, γᵢ, Hᵢ), i=1,2, NNSC-cobordant? If (ⁿ⁻¹, γₛₜd, 0) is positive scalar curvature (PSC) cobordant to (Σⁿ⁻¹₁,γ₁, H₁), where (ⁿ⁻¹, γₛₜd) denotes the standard round unit sphere, then (Σⁿ⁻¹₁,γ₁, H₁) admits an NNSC fill-in. Just as Gromov's conjecture is connected with the positive mass theorem, our problems are connected with the Penrose inequality, at least in the case of n=3. Our third problem is on Λ(Σⁿ⁻¹, γ) defined below.
first_indexed 2025-12-17T12:03:33Z
format Article
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institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
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language English
last_indexed 2025-12-17T12:03:33Z
publishDate 2020
publisher Інститут математики НАН України
record_format dspace
spelling Hu, Xue
Shi, Yuguang
2025-12-12T10:16:59Z
2020
NNSC-Cobordism of Bartnik Data in High Dimensions. Xue Hu and Yuguang Shi. SIGMA 16 (2020), 030, 5 pages
1815-0659
2020 Mathematics Subject Classification: 53C20; 83C99
arXiv:2001.05607
https://nasplib.isofts.kiev.ua/handle/123456789/210580
https://doi.org/10.3842/SIGMA.2020.030
In this short note, we formulate three problems relating to nonnegative scalar curvature (NNSC) fill-ins. Loosely speaking, the first two problems focus on: When are (n−1)-dimensional Bartnik data (Σⁿ⁻¹ᵢ, γᵢ, Hᵢ), i=1,2, NNSC-cobordant? If (ⁿ⁻¹, γₛₜd, 0) is positive scalar curvature (PSC) cobordant to (Σⁿ⁻¹₁,γ₁, H₁), where (ⁿ⁻¹, γₛₜd) denotes the standard round unit sphere, then (Σⁿ⁻¹₁,γ₁, H₁) admits an NNSC fill-in. Just as Gromov's conjecture is connected with the positive mass theorem, our problems are connected with the Penrose inequality, at least in the case of n=3. Our third problem is on Λ(Σⁿ⁻¹, γ) defined below.
The authors would like to thank Dr. Georg Frenck for his comments to clarify some notions in this note, and are also deeply grateful to anonymous referees for invaluable suggestions on the exposition. The research of the first and the second author was partially supported by NSFC 11701215, NSFC 11671015, and 11731001, respectively.
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Інститут математики НАН України
Symmetry, Integrability and Geometry: Methods and Applications
NNSC-Cobordism of Bartnik Data in High Dimensions
Article
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spellingShingle NNSC-Cobordism of Bartnik Data in High Dimensions
Hu, Xue
Shi, Yuguang
title NNSC-Cobordism of Bartnik Data in High Dimensions
title_full NNSC-Cobordism of Bartnik Data in High Dimensions
title_fullStr NNSC-Cobordism of Bartnik Data in High Dimensions
title_full_unstemmed NNSC-Cobordism of Bartnik Data in High Dimensions
title_short NNSC-Cobordism of Bartnik Data in High Dimensions
title_sort nnsc-cobordism of bartnik data in high dimensions
url https://nasplib.isofts.kiev.ua/handle/123456789/210580
work_keys_str_mv AT huxue nnsccobordismofbartnikdatainhighdimensions
AT shiyuguang nnsccobordismofbartnikdatainhighdimensions