Authors : ... (Author of the conference)
... (Publisher )
Abstract :
We will overview two probabilistic methods used to prove the existence of diverse combinatorial objects with desired properties: First, we will introduce Lovász Local Lemma as a classical tool to prove that, informally speaking, with non-zero probability none of the “bad” events occur if those bad events are of low probability and somewhat essentially independent from each other. Next, we will move on to its algorithmic counterpart, the Entropy Compression Method, used to ensure that a randomized algorithm eventually finds a solution with desired properties. The two methods will be illustrated by applying them to various settings in graph theory, combinatorics, and geometry.
https://www.labri.fr/perso/fkardos/
Keywords : probabilistic method; Lovász Local Lemma; entropy compression method
MSC Codes :
05C15
- Coloring of graphs and hypergraphs
05C80
- Random graphs
Additional resources :
https://www.cirm-math.fr/RepOrga/3048/Slides/Kardos-I.pdfhttps://www.cirm-math.fr/RepOrga/3048/Notes/Exos_kardos.pdf
Language : French
Available date : 29/03/2024
Conference Date : 11/03/2024
Subseries : Research School
arXiv category : Combinatorics ; Discrete Mathematics
Mathematical Area(s) : Combinatorics
Format : MP4 (.mp4) - HD
Video Time : 01:10:29
Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
Download : https://videos.cirm-math.fr/2024-03-14_Kardoš.mp4
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Event Title : ALEA Days / Journées ALEA Dates : 11/03/2024 - 15/03/2024
Event Year : 2024
Event URL : https://conferences.cirm-math.fr/3048.html
DOI : 10.24350/CIRM.V.20151003
Cite this video as:
(2024). Probabilistic methods: entropy compression. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.20151003
URI : http://dx.doi.org/10.24350/CIRM.V.20151003
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