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Revision #1 to TR24-013 | 13th March 2024 17:29

On locally-characterized expander graphs (a survey)

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Revision #1
Authors: Oded Goldreich
Accepted on: 13th March 2024 17:29
Downloads: 28
Keywords: 


Abstract:

We consider the notion of a local-characterization of an infinite family of unlabeled bounded-degree graphs.
Such a local-characterization is defined in terms of a finite set of (marked) graphs yielding a generalized notion of subgraph-freeness, which extends the standard notions of induced and non-induced subgraph freeness.

We survey the work of Adler, Kohler and Peng (32nd SODA and 36th CCC, 2021), which is pivoted at constructing locally-characterized expander graphs.
The construction makes inherent use of the iterative and local nature of the Zig-Zag construction of Reingold, Vadhan, and Wigderson ({\em 41st FOCS}, 2000).
This yields a locally-characterizable graph property that cannot be tested (in the bounded-degree graph model) within a number of queries that does not depend on the size of the graph.



Changes to previous version:

minor revision: fixing some typos etc


Paper:

TR24-013 | 26th January 2024 15:24

On locally-characterized expander graphs (a survey)





TR24-013
Authors: Oded Goldreich
Publication: 26th January 2024 15:24
Downloads: 170
Keywords: 


Abstract:

We consider the notion of a local-characterization of an infinite family of unlabeled bounded-degree graphs.
Such a local-characterization is defined in terms of a finite set of (marked) graphs yielding a generalized notion of subgraph-freeness, which extends the standard notions of induced and non-induced subgraph freeness.

We survey the work of Adler, Kohler and Peng (32nd SODA and 36th CCC, 2021), which is pivoted at constructing locally-characterized expander graphs.
The construction makes inherent use of the iterative and local nature of the Zig-Zag construction of Reingold, Vadhan, and Wigderson ({\em 41st FOCS}, 2000).
This yields a locally-characterizable graph property that cannot be tested (in the bounded-degree graph model) within a number of queries that does not depend on the size of the graph.



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