Higher-dimensional Expansion of Random Geometric Complexes

Published on ● Video Link: https://www.youtube.com/watch?v=Jd2rQgUOV38



Duration: 1:04:05
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Tselil Schramm (Stanford University)
https://simons.berkeley.edu/talks/tselil-schramm-stanford-university-2023-07-25
Structural Results

A graph is said to be a (1-dimensional) expander if the second eigenvalue of its adjacency matrix is bounded away from 1, or almost-equivalently, if it has no sparse vertex cuts. There are several natural ways to generalize the notion of expansion to hypergraphs/simplicial complexes, but one such way is 2-dimensional spectral expansion, in which the local expansion of vertex links/neighborhoods (remarkably) witnesses global expansion. While 1-dimensional expansion is known to be achieved by, e.g., random regular graphs, very few examples of sparse 2-
dimensional expanders are known, and at present all are algebraic. It is an open question whether sparse 2-dimensional expanders are natural and "abundant" or "rare." In this talk, we'll
give some evidence towards abundance: we show that the set of triangles in a random geometric graph on a high-dimensional sphere yields an expanding simplicial complex of arbitrarily small polynomial degree.
Based on joint work with Siqi Liu, Sidhanth Mohanty, and Elizabeth Yang







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Structural Results
Tselil Schramm