TY - GEN
T1 - Large low-diameter graphs are good expanders
AU - Dinitz, Michael
AU - Schapira, Michael
AU - Shahaf, Gal
N1 - Publisher Copyright: © Michael Dinitz, Michael Schapira, and Gal Shahaf.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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.
AB - 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.
KW - Expander graphs
KW - Network design
KW - Spectral graph theory
UR - http://www.scopus.com/inward/record.url?scp=85052527211&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.ESA.2018.71
DO - 10.4230/LIPIcs.ESA.2018.71
M3 - منشور من مؤتمر
SN - 9783959770811
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 26th European Symposium on Algorithms, ESA 2018
A2 - Bast, Hannah
A2 - Herman, Grzegorz
A2 - Azar, Yossi
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 26th European Symposium on Algorithms, ESA 2018
Y2 - 20 August 2018 through 22 August 2018
ER -