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The exact subgraph hierarchy and its vertex-transitive variant for the stable set problem for Paley graphs

Elisabeth Gaar, Dunja Pucher

TL;DR

This paper investigates upper bounds on the stability number $\alpha(G)$ for Paley graphs $P_q$ using the exact subgraph hierarchy (ESH) and introduces a vertex-transitive variant (VTESH) to overcome stagnation in the ESH. It analytically derives an explicit optimal SDP solution for the Lovász theta function on Paley graphs, establishing $\vartheta(P_q)=\sqrt{q}$ and showing that ESCs do not improve the bound up to level $\ell(q)=\left\lfloor(\sqrt{q}+3)/2\right\rfloor$ for many $q$. Computational experiments confirm this stagnation and demonstrate that VTESH yields significantly tighter bounds, often matching or exactly determining $\alpha(P_q)$ at second or higher levels, and outperforming the ESH and prior bounds such as Hanson–Mertidis–Magsino-type bounds. The VTESH bound $z'_k(P_q)$ is shown to be at least as strong as the ESH bound $z_k(P_q)$, and in practice substantially improves the quality of upper bounds, indicating strong potential for vertex-transitive graphs beyond Paley graphs. Open questions include whether improvements occur at higher levels for all Paley graphs, extensions to other vertex-transitive families, and possible reductions to linear programming exploiting circulant structure.

Abstract

The stability number of a graph, defined as the cardinality of the largest set of pairwise non-adjacent vertices, is NP-hard to compute. The exact subgraph hierarchy (ESH) provides a sequence of increasingly tighter upper bounds on the stability number, starting with the Lovász theta function at the first level and including all exact subgraph constraints of subgraphs of order $k$ into the semidefinite program to compute the Lovász theta function at level $k$. In this paper, we investigate the ESH for Paley graphs, a class of strongly regular, vertex-transitive graphs. We show that for Paley graphs, the bounds obtained from the ESH remain the Lovász theta function up to a certain threshold level, i.e., the bounds of the ESH do not improve up to a certain level. To overcome this limitation, we introduce the vertex-transitive ESH for the stable set problem for vertex-transitive graphs such as Paley graphs. We prove that this new hierarchy provides upper bounds on the stability number of vertex-transitive graphs that are at least as tight as those obtained from the ESH. Additionally, our computational experiments reveal that the vertex-transitive ESH produces superior bounds compared to the ESH for Paley graphs.

The exact subgraph hierarchy and its vertex-transitive variant for the stable set problem for Paley graphs

TL;DR

This paper investigates upper bounds on the stability number for Paley graphs using the exact subgraph hierarchy (ESH) and introduces a vertex-transitive variant (VTESH) to overcome stagnation in the ESH. It analytically derives an explicit optimal SDP solution for the Lovász theta function on Paley graphs, establishing and showing that ESCs do not improve the bound up to level for many . Computational experiments confirm this stagnation and demonstrate that VTESH yields significantly tighter bounds, often matching or exactly determining at second or higher levels, and outperforming the ESH and prior bounds such as Hanson–Mertidis–Magsino-type bounds. The VTESH bound is shown to be at least as strong as the ESH bound , and in practice substantially improves the quality of upper bounds, indicating strong potential for vertex-transitive graphs beyond Paley graphs. Open questions include whether improvements occur at higher levels for all Paley graphs, extensions to other vertex-transitive families, and possible reductions to linear programming exploiting circulant structure.

Abstract

The stability number of a graph, defined as the cardinality of the largest set of pairwise non-adjacent vertices, is NP-hard to compute. The exact subgraph hierarchy (ESH) provides a sequence of increasingly tighter upper bounds on the stability number, starting with the Lovász theta function at the first level and including all exact subgraph constraints of subgraphs of order into the semidefinite program to compute the Lovász theta function at level . In this paper, we investigate the ESH for Paley graphs, a class of strongly regular, vertex-transitive graphs. We show that for Paley graphs, the bounds obtained from the ESH remain the Lovász theta function up to a certain threshold level, i.e., the bounds of the ESH do not improve up to a certain level. To overcome this limitation, we introduce the vertex-transitive ESH for the stable set problem for vertex-transitive graphs such as Paley graphs. We prove that this new hierarchy provides upper bounds on the stability number of vertex-transitive graphs that are at least as tight as those obtained from the ESH. Additionally, our computational experiments reveal that the vertex-transitive ESH produces superior bounds compared to the ESH for Paley graphs.

Paper Structure

This paper contains 16 sections, 17 theorems, 60 equations, 3 figures, 2 tables.

Key Result

Lemma 4

Let $(x^*, X^*)$ be a feasible solution of theta_1 with $\mathop{\mathrm{tr}}\nolimits(X^*) > 0$. Then $X^\prime = \frac{1}{\mathop{\mathrm{tr}}\nolimits(X^*)}{X^*}$ is a feasible solution of theta_2.

Figures (3)

  • Figure 1: The values of $\alpha(P_q)$, $\ell(q)$, and $\tilde{\ell}(q)$ for Paley graphs $P_q$
  • Figure 2: The upper bounds on $z_2(P_q)$ and $z^\prime_2(P_q)$ for Paley graphs $P_q$ with $17 \leq q < 200$
  • Figure 3: The upper bounds on $z_8(P_q)$ and $z^\prime_8(P_q)$ for Paley graphs $P_q$ with $17 \leq q < 200$

Theorems & Definitions (27)

  • Lemma 4
  • Lemma 5
  • Lemma 6
  • Theorem 7
  • Lemma 10
  • proof
  • Lemma 11
  • proof
  • Lemma 12
  • proof
  • ...and 17 more