Half-graphs, other non-stable degree sequences, and the switch Markov chain
The electronic journal of combinatorics, Tome 28 (2021) no. 3
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One of the simplest methods of generating a random graph with a given degree sequence is provided by the Monte Carlo Markov Chain method using switches. The switch Markov chain converges to the uniform distribution, but generally the rate of convergence is not known. After a number of results concerning various degree sequences, rapid mixing was established for so-called P-stable degree sequences (including that of directed graphs), which covers every previously known rapidly mixing region of degree sequences. In this paper we give a non-trivial family of degree sequences that are not P-stable and the switch Markov chain is still rapidly mixing on them. This family has an intimate connection to Tyshkevich-decompositions and strong stability as well.
DOI : 10.37236/9652
Classification : 05C80, 05C07, 60J10, 68R10
Mots-clés : random graphs with a given degree sequence, Monte Carlo Markov chain method

Péter L. Erdős  1   ; Ervin Győri  1   ; Tamás Róbert Mezei  2   ; István Miklós  1   ; Dániel Soltész  3

1 Alfréd Rényi Institute of Mathematics, Budapest, Hungary
2 Alfréd Rény Institute of Mathematics
3 *Alfréd Rényi Institute of Mathematics, Budapest, Hungary
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     title = {Half-graphs, other non-stable degree sequences, and the switch {Markov} chain},
     journal = {The electronic journal of combinatorics},
     year = {2021},
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Péter L. Erdős; Ervin Győri; Tamás Róbert Mezei; István Miklós; Dániel Soltész. Half-graphs, other non-stable degree sequences, and the switch Markov chain. The electronic journal of combinatorics, Tome 28 (2021) no. 3. doi: 10.37236/9652

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