The averaging process on infinite graphs
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| Název: | The averaging process on infinite graphs |
|---|---|
| Autoři: | Gantert, Nina, Vilkas, Timo |
| Přispěvatelé: | Lund University, Lund University School of Economics and Management, LUSEM, Department of Statistics, Lunds universitet, Ekonomihögskolan, Statistiska institutionen, Originator |
| Zdroj: | Alea. 22:815-823 |
| Témata: | Natural Sciences, Mathematical Sciences, Probability Theory and Statistics, Naturvetenskap, Matematik, Sannolikhetsteori och statistik |
| Popis: | We consider the averaging process on an infinite connected graph with bounded degree and independent, identically distributed starting values or initial opinions. Assuming that the law of the initial opinion of a vertex has a finite second moment, we show that the opinions of all vertices converge in L2 to the first moment of the law of the initial opinions. A key tool in the proof is the Sharing a drink procedure introduced by Olle Häggström. |
| Přístupová URL adresa: | https://doi.org/10.30757/ALEA.v22-32 |
| Databáze: | SwePub |
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| Items | – Name: Title Label: Title Group: Ti Data: The averaging process on infinite graphs – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gantert%2C+Nina%22">Gantert, Nina</searchLink><br /><searchLink fieldCode="AR" term="%22Vilkas%2C+Timo%22">Vilkas, Timo</searchLink> – Name: Author Label: Contributors Group: Au Data: Lund University, Lund University School of Economics and Management, LUSEM, Department of Statistics, Lunds universitet, Ekonomihögskolan, Statistiska institutionen, Originator – Name: TitleSource Label: Source Group: Src Data: <i>Alea</i>. 22:815-823 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Natural+Sciences%22">Natural Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Sciences%22">Mathematical Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+Theory+and+Statistics%22">Probability Theory and Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Naturvetenskap%22">Naturvetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Matematik%22">Matematik</searchLink><br /><searchLink fieldCode="DE" term="%22Sannolikhetsteori+och+statistik%22">Sannolikhetsteori och statistik</searchLink> – Name: Abstract Label: Description Group: Ab Data: We consider the averaging process on an infinite connected graph with bounded degree and independent, identically distributed starting values or initial opinions. Assuming that the law of the initial opinion of a vertex has a finite second moment, we show that the opinions of all vertices converge in L2 to the first moment of the law of the initial opinions. A key tool in the proof is the Sharing a drink procedure introduced by Olle Häggström. – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://doi.org/10.30757/ALEA.v22-32" linkWindow="_blank">https://doi.org/10.30757/ALEA.v22-32</link> |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.30757/ALEA.v22-32 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 815 Subjects: – SubjectFull: Natural Sciences Type: general – SubjectFull: Mathematical Sciences Type: general – SubjectFull: Probability Theory and Statistics Type: general – SubjectFull: Naturvetenskap Type: general – SubjectFull: Matematik Type: general – SubjectFull: Sannolikhetsteori och statistik Type: general Titles: – TitleFull: The averaging process on infinite graphs Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gantert, Nina – PersonEntity: Name: NameFull: Vilkas, Timo – PersonEntity: Name: NameFull: Lund University, Lund University School of Economics and Management, LUSEM, Department of Statistics, Lunds universitet, Ekonomihögskolan, Statistiska institutionen, Originator IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19800436 – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: LU_SWEPUB Numbering: – Type: volume Value: 22 Titles: – TitleFull: Alea Type: main |
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