Sensitivity of mixing times of Cayley graphs
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2020
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| _version_ | 1866929596479307776 |
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| author | Hermon, Jonathan Kozma, Gady |
| author_facet | Hermon, Jonathan Kozma, Gady |
| contents | We show that the total variation mixing time is not quasi-isometry invariant, even for Cayley graphs. Namely, we construct a sequence of pairs of Cayley graphs with maps between them that twist the metric in a bounded way, while the ratio of the two mixing times goes to infinity. The Cayley graphs serving as an example have unbounded degrees.
For non-transitive graphs we construct bounded degree graphs for which the mixing time from the worst starting point for one graph is asymptotically smaller than the mixing time from the best starting point of the random walk on a network obtained by increasing some of the edge weights from 1 to $1+o(1)$. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2008_07517 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Sensitivity of mixing times of Cayley graphs Hermon, Jonathan Kozma, Gady Probability 60J10, 60J27, 05C81 (Primary), 60K35 (Secondary) We show that the total variation mixing time is not quasi-isometry invariant, even for Cayley graphs. Namely, we construct a sequence of pairs of Cayley graphs with maps between them that twist the metric in a bounded way, while the ratio of the two mixing times goes to infinity. The Cayley graphs serving as an example have unbounded degrees. For non-transitive graphs we construct bounded degree graphs for which the mixing time from the worst starting point for one graph is asymptotically smaller than the mixing time from the best starting point of the random walk on a network obtained by increasing some of the edge weights from 1 to $1+o(1)$. |
| title | Sensitivity of mixing times of Cayley graphs |
| topic | Probability 60J10, 60J27, 05C81 (Primary), 60K35 (Secondary) |
| url | https://arxiv.org/abs/2008.07517 |