Abstract
We revisit the classical question of the relationship between the diameter of a graph and its expansion properties. One direction is well understood: expander graphs exhibit essentially the lowest possible diameter. We focus on the reverse direction, showing that "sufficiently large" graphs of fixed diameter and degree must be "good" expanders. We prove this statement for various definitions of "sufficiently large" (multiplicative/additive factor from the largest possible size), for different forms of expansion (edge, vertex, and spectral expansion), and for both directed and undirected graphs. A recurring theme is that the lower the diameter of the graph and (more importantly) the larger its size, the better the expansion guarantees. Aside from inherent theoretical interest, our motivation stems from the domain of network design. Both low-diameter networks and expanders are prominent approaches to designing high-performance networks in parallel computing, HPC, datacenter networking, and beyond. Our results establish that these two approaches are, in fact, inextricably intertwined. We leave the reader with many intriguing questions for future research.
Original language | English |
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Title of host publication | 26th European Symposium on Algorithms, ESA 2018 |
Editors | Hannah Bast, Grzegorz Herman, Yossi Azar |
Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
ISBN (Print) | 9783959770811 |
DOIs | |
State | Published - 1 Aug 2018 |
Event | 26th European Symposium on Algorithms, ESA 2018 - Helsinki, Finland Duration: 20 Aug 2018 → 22 Aug 2018 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 112 |
ISSN (Print) | 1868-8969 |
Conference
Conference | 26th European Symposium on Algorithms, ESA 2018 |
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Country/Territory | Finland |
City | Helsinki |
Period | 20/08/18 → 22/08/18 |
Bibliographical note
Publisher Copyright:© Michael Dinitz, Michael Schapira, and Gal Shahaf.
Keywords
- Expander graphs
- Network design
- Spectral graph theory