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Scaling limits of random trees and graphs

Fakultät für Mathematik, Informatik und Statistik - Digitale Hochschulschriften der LMU - Teil 02/02 by Ludwig-Maximilians-Universität München

Oct 23, 20150Education

In this thesis, we establish the scaling limit of several models of random trees and graphs, enlarging and completing the now long list of random structures that admit David Aldous' continuum random tree (CRT) as scaling...

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Scaling limits of random trees and graphs is an episode from Fakultät für Mathematik, Informatik und Statistik - Digitale Hochschulschriften der LMU - Teil 02/02 by Ludwig-Maximilians-Universität München. In this thesis, we establish the sc...

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Published Oct 23, 2015, 0 long, audio available.

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What is Scaling limits of random trees and graphs about?

In this thesis, we establish the scaling limit of several models of random trees and graphs, enlarging and completing the now long list of random structures that admit David Aldous' continuum random tree (CRT) as scaling limit. Our results answer important open questions, in particular the conjecture by Aldous for the scaling limit of random unlabelled unrooted trees. We also show that random graphs from subcritical graph classes admit the CRT as scaling limit, proving (in a strong from) a conjecture by Marc Noy and Michael Drmota, who conjectured a limit for the diameter of these graphs. Furthermore, we provide a new proof for results by Bénédicte Haas and Grégory Miermont regarding the scaling limits of random Pólya trees, extending their result to random Pólya trees with arbitrary vertex-degree restrictions.

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Scaling limits of random trees and graphs is an episode from Fakultät für Mathematik, Informatik und Statistik - Digitale Hochschulschriften der LMU - Teil 02/02 by Ludwig-Maximilians-Universität München.

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This episode was published on Oct 23, 2015.

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Which podcast is this episode from?

Scaling limits of random trees and graphs is from Fakultät für Mathematik, Informatik und Statistik - Digitale Hochschulschriften der LMU - Teil 02/02 by Ludwig-Maximilians-Universität München.

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Published Oct 23, 2015 and 0 long