91 resultados para STATIONARY SPACETIMES
Filtro por publicador
- Academic Archive On-line (Karlstad University; Sweden) (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Aston University Research Archive (14)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (133)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (16)
- Brock University, Canada (9)
- Brunel University (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CentAUR: Central Archive University of Reading - UK (110)
- Cochin University of Science & Technology (CUSAT), India (22)
- Coffee Science - Universidade Federal de Lavras (2)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (91)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Dalarna University College Electronic Archive (15)
- Digital Archives@Colby (1)
- Digital Commons at Florida International University (1)
- DigitalCommons@The Texas Medical Center (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (25)
- Georgian Library Association, Georgia (1)
- Harvard University (1)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (10)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (3)
- Martin Luther Universitat Halle Wittenberg, Germany (3)
- Massachusetts Institute of Technology (3)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (5)
- Publishing Network for Geoscientific & Environmental Data (8)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (11)
- Repositório da Produção Científica e Intelectual da Unicamp (10)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (6)
- Repositório digital da Fundação Getúlio Vargas - FGV (5)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (23)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (17)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo Saúde Pública - SP (75)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (12)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (7)
- Universidad Politécnica de Madrid (7)
- Universidade Complutense de Madrid (2)
- Universidade do Minho (5)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (1)
- Universitat de Girona, Spain (7)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (8)
- Université de Lausanne, Switzerland (94)
- Université de Montréal, Canada (33)
- University of Connecticut - USA (1)
- University of Michigan (14)
- University of Queensland eSpace - Australia (46)
- University of Southampton, United Kingdom (12)
Resumo:
Networks often represent systems that do not have a long history of study in traditional fields of physics; albeit, there are some notable exceptions, such as energy landscapes and quantum gravity. Here, we consider networks that naturally arise in cosmology. Nodes in these networks are stationary observers uniformly distributed in an expanding open Friedmann-Lemaitre-Robertson-Walker universe with any scale factor and two observers are connected if one can causally influence the other. We show that these networks are growing Lorentz-invariant graphs with power-law distributions of node degrees. These networks encode maximum information about the observable universe available to a given observer.