License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CCC.2023.10
URN: urn:nbn:de:0030-drops-182807
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18280/
Abdolazimi, Dorna ;
Oveis Gharan, Shayan
An Improved Trickle down Theorem for Partite Complexes
Abstract
We prove a strengthening of the trickle down theorem for partite complexes. Given a (d+1)-partite d-dimensional simplicial complex, we show that if "on average" the links of faces of co-dimension 2 are (1-δ)/d-(one-sided) spectral expanders, then the link of any face of co-dimension k is an O((1-δ)/(kδ))-(one-sided) spectral expander, for all 3 ≤ k ≤ d+1. For an application, using our theorem as a black-box, we show that links of faces of co-dimension k in recent constructions of bounded degree high dimensional expanders have spectral expansion at most O(1/k) fraction of the spectral expansion of the links of the worst faces of co-dimension 2.
BibTeX - Entry
@InProceedings{abdolazimi_et_al:LIPIcs.CCC.2023.10,
author = {Abdolazimi, Dorna and Oveis Gharan, Shayan},
title = {{An Improved Trickle down Theorem for Partite Complexes}},
booktitle = {38th Computational Complexity Conference (CCC 2023)},
pages = {10:1--10:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-282-2},
ISSN = {1868-8969},
year = {2023},
volume = {264},
editor = {Ta-Shma, Amnon},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/18280},
URN = {urn:nbn:de:0030-drops-182807},
doi = {10.4230/LIPIcs.CCC.2023.10},
annote = {Keywords: Simplicial complexes, High dimensional expanders, Trickle down theorem, Bounded degree high dimensional expanders, Locally testable codes, Random walks}
}
Keywords: |
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Simplicial complexes, High dimensional expanders, Trickle down theorem, Bounded degree high dimensional expanders, Locally testable codes, Random walks |
Collection: |
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38th Computational Complexity Conference (CCC 2023) |
Issue Date: |
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2023 |
Date of publication: |
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10.07.2023 |