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Any fully graphic region of degree sequences can be sampled rapidly

Péter L. Erdős, Gábor Lippner, Na'ama Nevo, Lajos Soukup

TL;DR

The paper studies when fast, uniform sampling of graphs with a fixed degree sequence is guaranteed by $P$-stability. It develops a general framework connecting $P$-stability to the fully graphic property of simple degree-sequence regions, using witness trails, hinge-flip operations, and hostile configurations to structure proofs. The authors prove a $3\cdot n^{13}$-bound on the perturbation map for fully graphic simple regions, establishing $P$-stability for their union, while also showing that not-fully-graphic regions are typically not $P$-stable under mild assumptions; they further provide a concrete application and discuss extensions to bipartite and directed settings. Overall, the work both broadens the classes of degree sequences known to yield polynomial-time mixing for the switch Markov chain and clarifies the relationship between full graphicity and $P$-stability, guiding future investigations into broader graph families.

Abstract

Let $n>c_1\ge c_2$ and $Σ$ be positive integers with $n\cdot c_1\ge Σ\ge n\cdot c_2.$ Let $\mD=\dds{n}Σ{c_1}{c_2}$ denote the set of all degree sequences of length $n$ with the even sum $Σ$ and satisfying $c_1\ge d_i\ge c_2.$ We show that if all degree sequences in $\mD$ are graphic, then $\mD$ is $3n^{13}$-stable. (The concept of $P$-stability was introduced by Jerrum and Sinclair in 1990.) In particular, this implies that the switch Markov-chain mixes rapidly on all such degree sequences. In this paper we also study the inverse direction. We show the following: if all graphic sequences of a degree sequence region satisfy the $p(n)$-stability condition then the overwhelming majority of the sequences in the region is graphic. This answers affirmatively a question raised in the paper \DOI{10.1016/j.aam.2024.102805}.

Any fully graphic region of degree sequences can be sampled rapidly

TL;DR

The paper studies when fast, uniform sampling of graphs with a fixed degree sequence is guaranteed by -stability. It develops a general framework connecting -stability to the fully graphic property of simple degree-sequence regions, using witness trails, hinge-flip operations, and hostile configurations to structure proofs. The authors prove a -bound on the perturbation map for fully graphic simple regions, establishing -stability for their union, while also showing that not-fully-graphic regions are typically not -stable under mild assumptions; they further provide a concrete application and discuss extensions to bipartite and directed settings. Overall, the work both broadens the classes of degree sequences known to yield polynomial-time mixing for the switch Markov chain and clarifies the relationship between full graphicity and -stability, guiding future investigations into broader graph families.

Abstract

Let and be positive integers with Let denote the set of all degree sequences of length with the even sum and satisfying We show that if all degree sequences in are graphic, then is -stable. (The concept of -stability was introduced by Jerrum and Sinclair in 1990.) In particular, this implies that the switch Markov-chain mixes rapidly on all such degree sequences. In this paper we also study the inverse direction. We show the following: if all graphic sequences of a degree sequence region satisfy the -stability condition then the overwhelming majority of the sequences in the region is graphic. This answers affirmatively a question raised in the paper \DOI{10.1016/j.aam.2024.102805}.

Paper Structure

This paper contains 17 sections, 29 theorems, 76 equations, 7 figures.

Key Result

Theorem 1.1

Every fully graphic very simple region is $(n^9)$-stable. Thus the maximal fully graphic very simple region is $(n^9)$-stable, and the switch Markov chain is rapidly mixing on $\mathbb{D}_{\max}$ with $O(n^{11})$ mixing time.

Figures (7)

  • Figure 1: The thick dashed lines indicate no edge at all, the solid thick lines indicate all edges.
  • Figure 2: The dashed lines indicate non-edges, the solid lines indicate edges.
  • Figure 3: We provide the complete witness trail.
  • Figure 4: In $R_N$ there is no edge. The vertices $x_j, z_j\in R_0$ and $y_j\in R_N$. The curved, loosely dotted arrow indicates a hinge-flip operation. As earlier: the thick dashed lines indicate no edge at all, the solid thick lines indicate all edges.
  • Figure 5: In $Y\cup R_\infty$ there is no edge. The solid lines are existing edges, the dashed line are missing edges The thick lines note all edges / non-edges in the subgraph.
  • ...and 2 more figures

Theorems & Definitions (56)

  • Theorem 1.1: fully
  • Theorem 1.2: fully
  • Theorem 1.3
  • Corollary 1.4
  • Lemma 1.5
  • Theorem 1.6
  • Remark 1.7
  • Definition 2.1
  • Proposition 2.2
  • proof
  • ...and 46 more