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Well-Covered Powers: Cartesian Products and Cayley Graphs

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Abstract

We study graphs whose powers are well-covered, with an emphasis on Cartesian products and Cayley graphs. We first establish necessary conditions and sufficient criteria for Cartesian products, provide examples showing that a factor need not be well-covered and that two noncomplete factors can have the well-covered powers property, and classify several structured product families. In particular, we construct graphs satisfying the well-covered powers property for arbitrarily large diameters. We then show that the Cartesian square of a connected abelian Cayley graph is well-covered exactly when the graph is complete. We classify the well-covered-power graphs among connected circulant graphs of degree at most four. For Cartesian products of any number of complete graphs, we also prove that the recursive alphabet-size inequalities in the final conjecture are sufficient for all powers to be well-covered, prove partial converses for arbitrarily many factors, and give explicit obstructions for every binary prefix followed by one complete factor.

Introduction

Well-covered graphs, introduced by Plummer [8], are graphs in which all maximal independent sets have the same size. Recently, Pham and Vu [7] studied graphs for which every power is well-covered; such graphs are said to have the well-covered powers property. They established several fundamental properties of these graphs and classified graphs with the well-covered powers property within the classes of chordal graphs, cochordal graphs, and very well-covered graphs. They also raised the question of whether every graph with the well-covered powers property must have diameter at most 3.

The starting point of this note is a counterexample to this question. Specifically, we present a Cartesian product construction showing that if a graph GG has the well-covered powers property, then so does G□KtG \mathbin{\square} K_t for t>∣V(G)∣t > |V(G)|, while its diameter is increased by 1. This observation naturally leads us to investigate the well-covered powers property under Cartesian products. In this direction, Hartnell and Rall [5] proved that if G□HG \mathbin{\square} H is well-covered, then at least one of the factors GG and HH must be well-covered.

The main motivation for this note is the following question:

Question 1.1. Suppose that G□HG \mathbin{\square} H has the well-covered powers property. Must at least one of GG and HH also have the well-covered powers property?

Since the powers of a disconnected graph are the disjoint unions of the corresponding powers of its connected components, the well-covered powers property can be studied componentwise. Thus, when investigating this property, we may restrict our attention to connected graphs. In particular, for Cartesian squares, we consider the following stronger question:

Question 1.2. Suppose that GG is connected and that G□GG \mathbin{\square} G has the well-covered powers property. Must GG be complete?

Our main contributions can be summarized as follows:

  1. Constructions for producing new graphs with well-covered powers from a given graph GG, specifically via Cartesian products and compositions.

  1. Necessary conditions for Cartesian products to have well-covered powers, with a particular focus on products with complete graphs.

  1. A proof that if GG is a connected chordal graph or an abelian Cayley graph and G□GG \square G has well-covered powers, then GG is complete.

  1. A classification of well-covered powers for circulant graphs of degree at most 4.

  1. A classification of well-covered powers for Cartesian products of several factors of complete graphs.

The paper is organized as follows. In § 2, we introduce basic definitions and properties of graphs with well-covered powers, alongside necessary conditions for Cartesian products to have well-covered powers. In particular, we present two constructions that preserve the well-covered powers property. In § 3, we consider the property for Cartesian squares, proving that if the graph is a connected chordal graph or an abelian Cayley graph, GG must be complete. In § 4, we provide a complete classification of well-covered powers for quartic circulant graphs. Finally, in § 5, we investigate the well-covered powers property for Cartesian products of specific graph classes.

Definitions and basic constructions

Throughout this paper, all graphs are finite, simple, and nonempty.

Definition 2.1. Let G=(V(G),E(G))G=(V(G),E(G)) be a simple graph on the vertex set V(G)={1,…,n}V(G)=\{1,\ldots,n\}.

(1) The neighborhood of a vertex x∈V(G)x \in V(G) is NG(x)={y∈V(G)∣{x,y}∈E(G)}N_G(x)=\{y \in V(G)\mid\{x,y\}\in E(G)\}. The closed neighborhood of xx is NG[x]=NG(x)∪{x}N_G[x]=N_G(x)\cup\{x\}.

(2) The degree of a vertex vv, denoted by deg⁡G(v)\deg_G(v), is the number of its neighbors. Δ(G)\Delta(G) denotes the maximum degree of GG.

(3) For a subset U⊆V(G)U\subseteq V(G), the neighborhood and closed neighborhood of UU in GG are defined respectively by

NG(U)=⋃x∈UNG(x)andNG[U]=⋃x∈UNG[x].N_G(U)=\bigcup_{x\in U}N_G(x)\quad\text{and}\quad N_G[U]=\bigcup_{x\in U}N_G[x].

(4) A graph HH is a subgraph of GG if V(H)⊆V(G)V(H)\subseteq V(G) and E(H)⊆E(G)E(H)\subseteq E(G). It is an induced subgraph of GG if E(H)={{u,v}∈E(G)∣u,v∈V(H)}E(H)=\{\{u,v\}\in E(G)\mid u,v\in V(H)\}. For a subset U⊆V(G)U\subseteq V(G), G[U]G[U] denotes the induced subgraph of GG on UU, and G∖UG\setminus U denotes G[V(G)∖U]G[V(G)\setminus U].

(5) A path PkP_k on kk vertices has vertex set V(Pk)={v1,…,vk}V(P_k)=\{v_1,\ldots,v_k\} and edge set E(Pk)={{v1,v2},{v2,v3},…,{vk−1,vk}}E(P_k)=\{\{v_1,v_2\},\{v_2,v_3\},\ldots,\{v_{k-1},v_k\}\}. A cycle CkC_k on kk vertices (k≥3k\geq3) has edge set E(Ck)=E(Pk)∪{{v1,vk}}E(C_k)=E(P_k)\cup\{\{v_1,v_k\}\}.

(6) The distance dG(u,v)d_G(u,v) between two vertices u,v∈V(G)u,v\in V(G) is the length of a shortest path in GG connecting them. The diameter of GG is diam⁡(G)=max⁡{dG(u,v)∣u,v∈V(G)}\operatorname{diam}(G)=\max\{d_G(u,v)\mid u,v\in V(G)\}.

(7) For a positive integer d≥1d\geq1, the dd-th power of GG, denoted by GdG^d, is the graph defined on the vertex set V(Gd)=V(G)V(G^d)=V(G) with edge set

E(Gd)={{u,v}⊆V(G)∣u≠v and dG(u,v)≤d}.E(G^d)=\{\{u,v\}\subseteq V(G)\mid u\ne v\text{ and }d_G(u,v)\leq d\}.

(8) A subset I⊆V(G)I\subseteq V(G) is an independent set of GG if no two vertices in II are adjacent in GG. An independent set II is maximal if it is not properly contained in any other independent set of GG. The independence number of GG, denoted by α(G)\alpha(G), is the cardinality of a maximum independent set of GG.

(9) A subset C⊆V(G)C \subseteq V(G) is a vertex cover of GG if C∩e≠∅C \cap e \ne\emptyset for every e∈E(G)e \in E(G). A vertex cover CC is minimal if no proper subset of CC is a vertex cover of GG. Note that I⊆V(G)I \subseteq V(G) is a maximal independent set of GG if and only if V(G)∖IV(G) \setminus I is a minimal vertex cover of GG.

(10) A graph GG is well-covered if every minimal vertex cover of GG has the same cardinality.

Definition 2.2. We say that GG has the well-covered-powers property, abbreviated as WCP, if GdG^d is well-covered for every integer d≥1d \ge1.

Composition graphs

Pham and Vu [7] give constructions of graphs with well-covered powers via graph compositions; in particular, they show that G[tK1]G[tK_1] has WCP if and only if GG has WCP. We generalize this to arbitrary compositions.

Definition 2.3. Let GG be a simple graph with vertex set V(G)={1,…,n}V(G) = \{1,\ldots,n\}, and let H1,…,HnH_1,\ldots,H_n be graphs. The composition graph G[H1,…,Hn]G[H_1,\ldots,H_n] is obtained by replacing each vertex i∈V(G)i \in V(G) with the graph HiH_i, and joining every vertex of HiH_i to every vertex of HjH_j whenever {i,j}∈E(G)\{i,j\} \in E(G). When all the graphs H1,…,HnH_1,\ldots,H_n are isomorphic to a graph HH, we denote it simply by G[H]G[H].

The composition graph G[H]G[H] has vertex set V(G)×V(H)V(G) \times V(H), where two distinct vertices (u1,v1)(u_1,v_1) and (u2,v2)(u_2,v_2) are adjacent if either {u1,u2}∈E(G)\{u_1,u_2\} \in E(G), or u1=u2u_1=u_2 and {v1,v2}∈E(H)\{v_1,v_2\} \in E(H).

Lemma 2.4. The composition graph F=G[H]F=G[H] is well-covered if and only if both GG and HH are well-covered.

Proof. Every maximal independent set of FF is of the form

I=⋃a∈S({a}×Ta).I=\bigcup_{a\in S}(\{a\}\times T_a).

where SS is maximal independent in GG and each TaT_a is maximal independent in HH; the choices TaT_a may differ between fibers. Conversely, every such union is maximal independent. If both factors are well-covered, every such union has size α(G)α(H)\alpha(G)\alpha(H). If FF is well-covered, fixing SS and varying the choice in a single fiber shows that HH is well-covered; then varying SS shows that GG is well-covered. □

Theorem 2.5. Assume that GG has no isolated vertices. Then the composition graph F=G[H]F=G[H] has WCP if and only if GG has WCP and HH is well-covered.

Proof. For vertices in distinct fibers over uu and vv, their distance in FF equals dG(u,v)d_G(u,v): a shortest base path lifts to a path of the same length, and projection of any path in FF gives a base walk after stationary steps are removed. If the base vertices lie in different components, neither graph has such a path. Since GG has no isolated vertices, two vertices in the same fiber have distance at most two, using a common vertex in a neighboring fiber. Consequently, Fd=Gd[Km]F^d=G^d[K_m] for every d≥2d \ge2, where m=∣V(H)∣m=|V(H)|. Lemma 2.4 gives that FF is well-covered exactly when GG and HH are well-covered, and that FdF^d is well-covered exactly when GdG^d is well-covered for each d≥2d \ge2. These statements prove the equivalence. □

Cartesian products

Definition 2.6. For connected graphs HH and KK, the Cartesian product H□KH \square K has vertex set V(H)×V(K)V(H) \times V(K), where two vertices are adjacent if they differ in exactly one coordinate and the corresponding coordinate vertices are adjacent in the respective factor.

Definition 2.7. Let GG be a simple graph and vv a vertex of GG. The eccentricity of vv is defined by ecc⁡G(v)=max⁡{dG(u,v)∣u∈V(G)}\operatorname{ecc}_G(v)=\max\{d_G(u,v)\mid u\in V(G)\}. The radius of GG is defined by rad⁡(G)=min⁡{ecc⁡G(v)∣v∈V(G)}\operatorname{rad}(G)=\min\{\operatorname{ecc}_G(v)\mid v\in V(G)\}. A graph GG is called self-centered if rad⁡(G)=diam⁡(G)\operatorname{rad}(G)=\operatorname{diam}(G).

Lemma 2.8. Let HH and KK be connected simple graphs. Then for any vertices (h,k),(h′,k′)∈V(H□K)(h,k),(h',k') \in V(H \square K),

dH□K((h,k),(h′,k′))=dH(h,h′)+dK(k,k′).(1)d_{H \square K}((h,k),(h',k'))=d_H(h,h')+d_K(k,k'). \tag*{(1)}

In particular,

ecc⁡H□K(h,k)=ecc⁡H(h)+ecc⁡K(k)anddiam⁡(H□K)=diam⁡(H)+diam⁡(K).(2)\operatorname{ecc}_{H \square K}(h,k)=\operatorname{ecc}_{H}(h)+\operatorname{ecc}_{K}(k) \quad\text{and} \quad\operatorname{diam}(H \square K)=\operatorname{diam}(H)+\operatorname{diam}(K). \tag*{(2)}

Proof. Every edge in H□KH \square K changes exactly one coordinate by an edge in the respective factor while leaving the other coordinate fixed. Consequently, any path of length LL from (h,k)(h,k) to (h′,k′)(h',k') can be decomposed into lHl_H steps in HH and lKl_K steps in KK, with lH+lK=Ll_H+l_K=L. Projecting this path onto the respective factors yields a walk of length lHl_H from hh to h′h' in HH and a walk of length lKl_K from kk to k′k' in KK. Since the length of any walk is at least the shortest-path distance, we have lH≥dH(h,h′)l_H \ge d_H(h,h') and lK≥dK(k,k′)l_K \ge d_K(k,k'). Thus,

dH□K((h,k),(h′,k′))=L=lH+lK≥dH(h,h′)+dK(k,k′).d_{H \square K}((h,k),(h',k'))=L=l_H+l_K \ge d_H(h,h')+d_K(k,k').

Conversely, concatenating a shortest path from hh to h′h' in HH with a shortest path from kk to k′k' in KK yields a path of length dH(h,h′)+dK(k,k′)d_H(h,h')+d_K(k,k') in the Cartesian product, proving the distance formula. The formulas for eccentricity and diameter follow immediately from the distance formula and the respective definitions. □

Corollary 2.9. If HH and KK are nontrivial connected graphs and H□KH \square K has WCP, then both HH and KK are self-centered.

Proof. By [7 Lemma 2.5], any graph with WCP is self-centered, meaning that ecc⁡H□K(h,k)=diam⁡(H□K)\operatorname{ecc}_{H \square K}(h,k)=\operatorname{diam}(H \square K) for every vertex (h,k)∈V(H□K)(h,k) \in V(H \square K).

Using the additivity of eccentricity and diameter from Lemma 2.8, we have

ecc⁡H(h)+ecc⁡K(k)=diam⁡(H)+diam⁡(K)\operatorname{ecc}_{H}(h)+\operatorname{ecc}_{K}(k)=\operatorname{diam}(H)+\operatorname{diam}(K)

for all h∈V(H)h \in V(H) and k∈V(K)k \in V(K). Since HH and KK are nontrivial, we can vary hh and kk independently, which forces ecc⁡H(h)=diam⁡(H)\operatorname{ecc}_{H}(h)=\operatorname{diam}(H) for all hh and ecc⁡K(k)=diam⁡(K)\operatorname{ecc}_{K}(k)=\operatorname{diam}(K) for all kk. Therefore, both HH and KK are self-centered. □

We now give an example to show that, in general, a factor need not be well-covered for its Cartesian product to have WCP.

Theorem 2.10. There exist graphs GG and HH such that GG is not well-covered, yet their Cartesian product F=G□HF=G \square H has WCP.

Proof. Let SS be the three-sun graph with vertices c0,c1,c2,s0,s1,s2c_0,c_1,c_2,s_0,s_1,s_2, where the cic_i form a triangle, the sis_i form an independent set, and sis_i is adjacent to cjc_j if and only if i≠ji \ne j. The sets {ci,si}\{c_i,s_i\} and {s0,s1,s2}\{s_0,s_1,s_2\} are maximal independent sets of sizes two and three, respectively; hence, SS is not well-covered.

However, P=S□K2P=S \square K_2 has WCP. The graph PP has order twelve and diameter three. Exhaustive enumeration of its vertex subsets gives maximal independent-set sizes 4, 2, and 1 in PP, P2P^2, and P3P^3, with corresponding counts 18, 12, and 12. The supplementary sources reproduce this enumeration directly from the six-vertex graph just defined, by checking independence and domination of every subset. All later powers are complete. □

In the construction of Theorem 2.10, the second factor is a complete graph on 2 vertices. In the following theorem, we show that when the complete factor has a sufficiently large number of vertices, the WCP property of GG and that of G□KtG \square K_t are equivalent. This construction allows us to construct WCP graphs of arbitrarily large diameter.

Theorem 2.11. Let GG be a nontrivial connected graph, and let F=G□KtF=G \square K_t. Then:

  1. If t≥max⁡(α(G),Δ(G)+1)t \ge\max(\alpha(G),\Delta(G)+1) and GG has WCP, then FF has WCP.

  2. If t≥α(G)t \ge\alpha(G) and FF has WCP, then GG has WCP.

In particular, if t≥max⁡(α(G),Δ(G)+1)t \ge\max(\alpha(G),\Delta(G)+1), then GG has WCP if and only if FF has WCP.

The following lemma is the key step to establish Theorem 2.11.

Lemma 2.12. Let GG be a connected simple graph and F=G□KtF = G \mathbin{\square} K_t. Assume that t≥α(G)t \ge\alpha(G). Then for all d≥2d \ge2, FdF^d is well-covered if and only if Gd−1G^{d-1} is well-covered.

Proof. Label the vertices of KtK_t by {1,…,t}\{1,\ldots,t\}. The distance in FF between two vertices (x,i)(x,i) and (y,j)(y,j) is given by

dF((x,i),(y,j))={dG(x,y),if i=j,dG(x,y)+1,if i≠j.d_F((x,i),(y,j)) = \begin{cases} d_G(x,y), & \text{if } i=j,\\ d_G(x,y)+1, & \text{if } i\ne j. \end{cases}

Let II be a maximal independent set of FdF^d. Since each fiber {x}×Kt\{x\}\times K_t is a complete graph and d≥2d \ge2, II can contain at most one vertex from each fiber. Let SS be the projection of II onto GG, so that ∣S∣=∣I∣|S|=|I|.

We first show that SS is an independent set in Gd−1G^{d-1}. Suppose for contradiction that there exist distinct x,y∈Sx,y \in S with respective labels i,ji,j such that dG(x,y)≤d−1d_G(x,y) \le d-1.

  • If i=ji=j, then dF((x,i),(y,i))=dG(x,y)≤d−1≤dd_F((x,i),(y,i)) = d_G(x,y) \le d-1 \le d, meaning (x,i)(x,i) and (y,i)(y,i) are adjacent in FdF^d, a contradiction.

  • If i≠ji\ne j, then dF((x,i),(y,j))=dG(x,y)+1≤(d−1)+1=dd_F((x,i),(y,j)) = d_G(x,y)+1 \le(d-1)+1=d, which again implies they are adjacent in FdF^d, a contradiction.

Thus, dG(x,y)≥dd_G(x,y) \ge d for all distinct x,y∈Sx,y \in S, meaning SS is independent in Gd−1G^{d-1}.

Next, we prove that SS is maximal in Gd−1G^{d-1}. Suppose there exists a vertex x∉Sx \notin S such that S∪{x}S \cup\{x\} is independent in Gd−1G^{d-1}. Since SS is the projection of II, the vertex xx does not appear as a first coordinate in II. Since S∪{x}S \cup\{x\} is independent in Gd−1G^{d-1}, we have

∣S∣+1≤α(Gd−1)≤α(G)≤t.|S|+1 \le\alpha(G^{d-1}) \le\alpha(G) \le t.

Thus fewer than tt labels occur anywhere in II. Choose a label jj unused by II. For every (y,i)∈I(y,i) \in I, we have dG(x,y)≥dd_G(x,y) \ge d and j≠ij \ne i, so dF((x,j),(y,i))≥d+1d_F((x,j),(y,i)) \ge d+1. Adding (x,j)(x,j) preserves independence, contradicting maximality. Therefore, SS is a maximal independent set in Gd−1G^{d-1} of size ∣I∣|I|.

Conversely, let SS be any maximal independent set of Gd−1G^{d-1}. Since ∣S∣≤α(Gd−1)≤α(G)≤t|S| \le\alpha(G^{d-1}) \le\alpha(G) \le t, we can assign a distinct label jx∈{1,…,t}j_x \in\{1,\ldots,t\} to each x∈Sx \in S. Define I={(x,jx)∣x∈S}I=\{(x,j_x)\mid x\in S\}. By reversing the distance logic above, II forms an independent set in FdF^d. Furthermore, the maximality of SS in Gd−1G^{d-1} ensures that II cannot be enlarged, making it maximal in FdF^d.

Since every maximal independent set of FdF^d projects to a maximal independent set of Gd−1G^{d-1} of the same cardinality, and vice versa, the set of sizes of maximal independent sets of FdF^d coincides with that of Gd−1G^{d-1}. Consequently, FdF^d is well-covered if and only if Gd−1G^{d-1} is well-covered. □

Proof of Theorem 2.11. By Lemma 2.12, it remains to show that FF is well-covered. Let II be a maximal independent set of FF, and let SS be its projection onto GG. Since each fiber {x}×Kt\{x\}\times K_t is a complete graph, II contains at most one vertex per fiber, meaning the projection is injective on II. We claim that S=V(G)S=V(G). Suppose for contradiction that there exists a vertex x∉Sx\notin S. Since x∉Sx\notin S, no vertex in the fiber over xx belongs to II. For each neighbor yy of xx in GG, the unique vertex of II in the fiber over yy can forbid at most one label in the fiber over xx. Thus, the neighbors of xx in GG block at most deg⁡G(x)\deg_G(x) labels in total. Since t≥Δ(G)+1>deg⁡G(x)t\ge\Delta(G)+1>\deg_G(x), there is at least one label jx∈{1,…,t}j_x\in\{1,\ldots,t\} in the fiber over xx that is not adjacent to any vertex currently in II.

Consequently, we may add (x,jx)(x,j_x) to II while preserving independence in FF, which contradicts the maximality of II. Therefore, our assumption was false, meaning S=V(G)S=V(G). This implies that every maximal independent set II of FF contains exactly one vertex from each of the ∣V(G)∣|V(G)| fibers, so all maximal independent sets have the same cardinality, ∣V(G)∣|V(G)|. Thus, FF is well-covered. □

Corollary 2.13. There are connected graphs with WCP of arbitrarily large diameter.

Proof. For a connected graph GG with wcp, choose t>∣V(G)∣t > |V(G)|. Theorem 2.11 gives wcp for G□KtG \square K_t, and Lemma 2.8 increases its diameter by one. Iterate, starting with K2K_2. □\square

Well-covered powers of Cartesian squares

In this section, we study the well-covered powers property for Cartesian squares F=G□GF = G \square G, where GG is a connected graph with at least one edge. By a result of Hartnell and Rall [5], GG must be well-covered. Furthermore, by a result of Hartnell, Rall, and Wash [6], if GG is triangle-free, then G≅K2G \cong K_2. We will show that the well-covered powers property of G□GG \square G implies that GG is complete for two specific classes: chordal graphs and abelian Cayley graphs.

Chordal graphs

Lemma 3.1. Let GG be a simple graph and II a maximal independent set of GG. Let F=G□GF = G \square G. Then

F−NF[I×I]=(G−I)□(G−I).F - N_F[I \times I] = (G - I) \square(G - I).

Proof. From the definition of the Cartesian product, for any vertex subset I⊆V(G)I \subseteq V(G), we have

NF[I×I]=(NG[I]×I)∪(I×NG[I]).N_F[I \times I] = (N_G[I] \times I) \cup(I \times N_G[I]).

When II is a maximal independent set, NG[I]=V(G)N_G[I] = V(G), which implies that NF[I×I]=(V(G)×I)∪(I×V(G))N_F[I \times I] = (V(G) \times I) \cup(I \times V(G)). Removing this set from V(F)=V(G)×V(G)V(F) = V(G) \times V(G) leaves (V(G)∖I)×(V(G)∖I)(V(G) \setminus I) \times(V(G) \setminus I), yielding the desired equality. □\square

Theorem 3.2. Assume that GG is a connected chordal graph. The following are equivalent:

  1. G□GG \square G has wcp;

  2. G□GG \square G is well-covered;

  3. GG is complete.

Proof. The implication (1) ⟹\Longrightarrow (2) is immediate, and (3) ⟹\Longrightarrow (1) follows by Proposition 5.2. It suffices to prove that if G□GG \square G is well-covered, then GG is complete for any connected chordal graph GG. By a theorem of Hartnell and Rall [5], we deduce that GG is well-covered. In particular, by the result of Prisner, Topp, and Vestergaard [10, 1], the simplices of GG partition V(G)V(G): write V(G)=S1⊔⋯⊔SmV(G) = S_1 \sqcup\cdots\sqcup S_m, where Si=NG[si]S_i = N_G[s_i] for a simplicial vertex sis_i. We argue by induction on ∣V(G)∣|V(G)|. An induced subgraph of a chordal graph is chordal, and each component square is an induced component of its Cartesian square.

If m=1m = 1, then GG is complete and we are done. Suppose for contradiction that m≥2m \ge2, and let I={s1,…,sm}I = \{s_1, \ldots, s_m\}. Then II is a maximal independent set of GG. By Lemma 3.1, we have

(G□G)−NF[I×I]=(G−I)□(G−I).(G \square G) - N_F[I \times I] = (G - I) \square(G - I).

Since G□GG \square G is well-covered, this implies that (G−I)□(G−I)(G - I) \square(G - I) is also well-covered. By induction on the number of vertices, each connected component of G∖IG \setminus I is complete. Each Ci=Si∖{si}C_i = S_i \setminus\{s_i\} is a nonempty clique. Contracting the simplices gives a connected quotient, and no cross-simplex edge can involve any sis_i, since NG[si]=SiN_G[s_i] = S_i. Thus all cross-simplex connections survive in G−IG - I, which is connected. Hence, G−IG - I is a complete graph. Write N=∣V(G−I)∣N = |V(G - I)|. If some CiC_i had at least two vertices, choose ui∈Ciu_i \in C_i and put J={ui}∪{sj:j≠i}J = \{u_i\} \cup\{s_j : j \ne i\}. This JJ is maximal independent. The graph G−JG - J consists of a clique on N−1N - 1 vertices and sis_i, whose neighbors are the nonempty set Ci∖{ui}C_i \setminus\{u_i\}. It is connected, chordal, and noncomplete, since sis_i misses every CjC_j with j≠ij \ne i. But its square is well-covered by Lemma 3.1 and the fact that deleting the closed neighborhood of an independent set from a well-covered graph preserves well-coveredness. This contradicts induction. Hence each CiC_i has size one, and N=mN = m.

:::` Since G□GG \square G is well-covered, all maximal independent sets of G□GG \square G must have the same size. Using the maximal independent set II, we find:

α(F)=∣I∣2+α((G−I)□(G−I))=m2+m.\alpha(F)=|I|^2+\alpha\left((G-I)\square(G-I)\right)=m^2+m.

On the other hand, let u1u_1 be a neighbor of s1s_1 in S1S_1, and choose J={u1,s2,…,sm}J=\{u_1,s_2,\ldots,s_m\}. Then JJ is also a maximal independent set of GG, and G∖J≅Km−1∪K1G\setminus J\cong K_{m-1}\cup K_1. Evaluating α(F)\alpha(F) using JJ yields:

α(F)=∣J∣2+α((G−J)□(G−J))=m2+m+2.\alpha(F)=|J|^2+\alpha\left((G-J)\square(G-J)\right)=m^2+m+2.

This contradicts the fact that G□GG \square G is well-covered. Therefore, our assumption that m≥2m\ge2 must be false, so m=1m=1, meaning GG is complete. □

Abelian Cayley graphs

First, we establish a general bound on the size of a maximal independent set of a Cartesian square in terms of the chromatic number of GG.

Definition 3.3. Let GG be a simple graph. The chromatic number of GG, denoted by χ(G)\chi(G), is the minimum number of colors needed to color its vertices properly so that adjacent vertices receive different colors.

Lemma 3.4. Let GG be a simple graph of order nn, and suppose χ(G)≤Δ(G)\chi(G)\le\Delta(G). Then F=G□GF=G\square G has a maximal independent set of size at most (n−1)α(G)(n-1)\alpha(G).

Proof. Choose a vertex v∈V(G)v\in V(G) of degree Δ(G)\Delta(G) and a proper vertex coloring c:V(G)→{1,…,q}c:V(G)\to\{1,\ldots,q\} with q=χ(G)≤Δ(G)q=\chi(G)\le\Delta(G). Let Ci=c−1(i)C_i=c^{-1}(i) denote the color classes, and choose distinct neighbors u1,…,uqu_1,\ldots,u_q of vv. Define

T=⋃i=1q({ui}×Ci)⊆V(F).T=\bigcup_{i=1}^{q}\left(\{u_i\}\times C_i\right)\subseteq V(F).

We first check that TT is an independent set in FF. Any two distinct elements of TT have different second coordinates. If their first coordinates are equal (say, both equal uju_j), then their second coordinates belong to the same color class CjC_j and are therefore nonadjacent in GG. Thus, no two elements of TT are adjacent in the Cartesian product.

The set TT avoids the layer {v}×V(G)\{v\}\times V(G) and dominates it entirely: for each y∈V(G)y\in V(G) in color class CiC_i, the vertex (v,y)(v,y) is adjacent to (ui,y)∈T(u_i,y)\in T. Consequently, any maximal independent set JJ of FF containing TT still avoids the layer {v}×V(G)\{v\}\times V(G). Each of the remaining n−1n-1 layers contributes at most α(G)\alpha(G) vertices to JJ. Hence,

∣J∣≤(n−1)α(G),|J|\le(n-1)\alpha(G),

as required. □

Definition 3.5. For a finite abelian group AA written additively and a subset S⊆A∖{0}S\subseteq A\setminus\{0\} such that S=−SS=-S, the Cayley graph Cay⁡(A,S)\operatorname{Cay}(A,S) has vertex set AA, with an edge between xx and yy if and only if y−x∈Sy-x\in S. A circulant graph is a Cayley graph of a cyclic group.

Lemma 3.6. Let G=Cay⁡(A,S)G=\operatorname{Cay}(A,S) for a finite abelian group AA of order nn. Then

α(G□G)=nα(G).\alpha(G\square G)=n\alpha(G).

Proof. The upper bound follows by considering the nn layers {x}×A\{x\}\times A: an independent set has at most α(G)\alpha(G) vertices in each layer. For the lower bound, let BB be a maximum independent set of GG and put

IB={(x,y)∈A×A:y−x∈B}.I_B=\{(x,y)\in A\times A:y-x\in B\}.

For each x∈Ax\in A there are exactly ∣B∣|B| choices of yy, so ∣IB∣=n∣B∣|I_B|=n|B|. We show that IBI_B is independent. In a fixed row, its second coordinates form a translate of BB; in a fixed column, its first coordinates form a translate of −B-B. Translations preserve adjacency in a Cayley graph, and −B-B is independent because S=−SS=-S. Thus no row or column contains adjacent selected vertices, which is precisely independence in the Cartesian product. Consequently α(G□G)≥nα(G)\alpha(G\square G)\ge n\alpha(G), and equality follows. □

Theorem 3.7. Let GG be a connected Cayley graph of a finite abelian group. The following are equivalent:

  1. G□GG \mathbin{\square} G has WCP;

  2. G□GG \mathbin{\square} G is well-covered;

  3. GG is complete.

In particular, the equivalence holds for every connected circulant.

Proof. The implications (1) ⟹\Longrightarrow (2) and (3) ⟹\Longrightarrow (1) are immediate. Suppose first that GG is connected and noncomplete, and let n=∣V(G)∣n = \lvert V(G)\rvert. Unless GG is an odd cycle, Brooks’ theorem [2] gives χ(G)≤Δ(G)\chi(G) \le\Delta(G). By Lemma 3.4, G□GG \mathbin{\square} G has a maximal independent set of size at most (n−1)α(G)(n-1)\alpha(G). By Lemma 3.6, it also has a maximum independent set of size

α(G□G)=nα(G).\alpha(G \mathbin{\square} G) = n\alpha(G).

Since (n−1)α(G)<nα(G)(n-1)\alpha(G) < n\alpha(G), these two independent sets have different cardinalities, meaning G□GG \mathbin{\square} G is not well-covered.

It remains to handle the case in which GG is an odd cycle. Since GG is connected, noncomplete, and an odd cycle, its length is at least five. The conclusion then follows from a result of Hartnell, Rall, and Wash [6]. □

Well-covered powers property of circulant graphs

Powers of cycles and cubic circulants

Brown and Hoshino [3] classified all well-covered powers of cycles and cubic circulant graphs, and they all have the WCP property as well.

Theorem 4.1. For n≥2rn \ge2r and r≥1r \ge1,

Cn(1,…,r) is well-covered⟺n≤3r+2 or n=4r+3.C_n(1,\ldots,r)\text{ is well-covered}\quad\Longleftrightarrow\quad n \le3r+2\text{ or }n=4r+3.

For these cycle powers, well-coveredness already implies WCP. Indeed, (Cnr)d=Cnrd(C_n^r)^d = C_n^{rd}, and powers with an exponent at least the diameter are complete. For d≥2d \ge2, either numerical alternative in Theorem 4.1 implies n≤3rd+2n \le3rd+2, so the relevant higher powers are well-covered as well.

Theorem 4.2. Up to isomorphism, the connected well-covered cubic circulant graphs are

C4(1,2),C6(1,3),C6(2,3),C8(1,4),andC10(2,5).C_4(1,2),\quad C_6(1,3),\quad C_6(2,3),\quad C_8(1,4),\quad\text{and}\quad C_{10}(2,5).

Each of these five graphs has WCP. Exact subset enumeration gives the uniform maximal-independent-set size vectors (1), (3, 1), (2, 1), (3, 1), and (4, 2, 1), respectively, through their diameters. The supplementary sources reproduce these checks. Connected circulants of degree zero or one are K1K_1 and K2K_2, which have WCP; connected degree-two circulants are cycles, covered by Theorem 4.1. Thus the cubic and quartic results complete the connected classification through degree four.

Quartic circulants

Let 1≤a<b<n/21 \le a < b < n/2 be integers and set G=Cn(a,b)G = C_n(a,b). Assume that gcd⁡(n,a,b)=1\gcd(n,a,b)=1. The structure of 4-circulants was considered in [4], but well-covered 4-circulants are not completely classified yet. We will now give a geometric representation of GG and use it to settle the classification of connected 4-circulants with the WCP property.

Let Φ:Z2→Zn\Phi:\mathbb{Z}^2 \to\mathbb{Z}_n be defined by Φ(x,y)=ax+by(modn)\Phi(x,y)=ax+by\pmod n. Since gcd⁡(n,a,b)=1\gcd(n,a,b)=1, this map is surjective. Let L=ker⁡Φ={(x,y)∈Z2∣ax+by≡0(modn)}L=\ker\Phi=\{(x,y)\in\mathbb{Z}^2\mid ax+by\equiv0\pmod n\}. Then Zn≅Z2/L\mathbb{Z}_n\cong\mathbb{Z}^2/L.

For each u=(x,y)∈Z2u=(x,y)\in\mathbb{Z}^2, let uˉ=u+L\bar{u}=u+L be its equivalence class in Z2/L\mathbb{Z}^2/L, and let e1=(1,0)e_1=(1,0) and e2=(0,1)e_2=(0,1). We define ΓL\Gamma_L as the graph with vertex set V(ΓL)=Z2/LV(\Gamma_L)=\mathbb{Z}^2/L, where two vertices uˉ\bar{u} and vˉ\bar{v} are adjacent if and only if vˉ−uˉ∈{±eˉ1,±eˉ2}\bar{v}-\bar{u}\in\{\pm\bar{e}_1,\pm\bar{e}_2\}.

Lemma 4.3. ΓL≅Cn(a,b)\Gamma_L\cong C_n(a,b).

Proof. The map Φ\Phi induces a graph homomorphism ΦL:ΓL→Cn(a,b)\Phi_L : \Gamma_L \to C_n(a,b) given by ΦL(uˉ)=ax+by\Phi_L(\bar{u}) = ax + by (mod nn) for u=(x,y)u = (x,y). Note that ΦL(eˉ1)=a\Phi_L(\bar{e}_1) = a and ΦL(eˉ2)=b\Phi_L(\bar{e}_2) = b. Hence, ΦL\Phi_L defines a graph isomorphism. □

Lemma 4.4. For any u,v∈Z2u,v \in\mathbb{Z}^2, the distance in ΓL\Gamma_L satisfies

dΓL(uˉ,vˉ)=min⁡λ∈L∥u−v+λ∥1.d_{\Gamma_L}(\bar{u},\bar{v}) = \min_{\lambda\in L} \lVert u-v+\lambda\rVert_1.

Proof. Let HH denote the infinite grid graph Z2\mathbb{Z}^2, where two points are adjacent if their difference is in {±e1,±e2}\{\pm e_1,\pm e_2\}. It is a standard fact that the graph distance in HH between any two points p,q∈Z2p,q \in\mathbb{Z}^2 is given by the ℓ1\ell_1-norm: dH(p,q)=∥p−q∥1d_H(p,q)=\lVert p-q\rVert_1.

The quotient graph ΓL\Gamma_L is formed by taking the quotient of HH under the action of the translation subgroup LL. A path of length kk from uˉ\bar{u} to vˉ\bar{v} in ΓL\Gamma_L corresponds to a path in HH from uu to some vertex v′=v+λv' = v+\lambda for some lattice element λ∈L\lambda\in L.

Thus, the distance dΓL(uˉ,vˉ)d_{\Gamma_L}(\bar{u},\bar{v}) is equal to the shortest distance in HH from uu to any point in the fiber v+Lv+L:

dΓL(uˉ,vˉ)=min⁡λ∈LdH(u,v+λ)=min⁡λ∈L∥u−(v+λ)∥1=min⁡λ∈L∥u−v+λ∥1.d_{\Gamma_L}(\bar{u},\bar{v}) = \min_{\lambda\in L} d_H(u,v+\lambda) = \min_{\lambda\in L} \lVert u-(v+\lambda)\rVert_1 = \min_{\lambda\in L} \lVert u-v+\lambda\rVert_1.

This completes the proof. □

Definition 4.5. We define the length of LL by λ(L)=min⁡{∥λ∥1∣λ∈L∖{0}}\lambda(L)=\min\{\lVert\lambda\rVert_1 \mid\lambda\in L\setminus\{0\}\}.

The remainder of the section is devoted to the following classification theorem.

Theorem 4.6. Let G=Cn(a,b)G=C_n(a,b) be a connected quartic circulant graph. The following are equivalent:

  1. GG has wcp;

  2. GG and G2G^2 are well-covered;

  3. GG is isomorphic to one of the following 19 graphs, categorized by their relation length: (a) Length 3 (12 graphs): C5(1,2)C_5(1,2), C6(1,2)C_6(1,2), C7(1,2)C_7(1,2), C8(1,2)C_8(1,2), C9(1,3)C_9(1,3), C11(1,2)C_{11}(1,2), C12(1,4)C_{12}(1,4), C12(3,4)C_{12}(3,4), C15(1,5)C_{15}(1,5), C15(3,5)C_{15}(3,5), C21(1,7)C_{21}(1,7), C21(3,7)C_{21}(3,7). (b) Length 4 (5 graphs): C8(1,3)C_8(1,3), C10(1,4)C_{10}(1,4), C11(1,3)C_{11}(1,3), C13(1,3)C_{13}(1,3), C14(1,6)C_{14}(1,6); (c) Length 5 (2 graphs): C13(2,3)C_{13}(2,3), C18(2,3)C_{18}(2,3).

Lemma 4.7. Assume that GLG_L is well-covered. Then 3≤λ(L)≤53 \le\lambda(L) \le5.

Proof. Since 1≤a<b<n/21 \le a < b < n/2 and GG is connected, no non-zero lattice vector has ℓ1\ell_1-norm less than 3; hence λ(L)≥3\lambda(L) \ge3. We prove the upper bound λ(L)≤5\lambda(L) \le5 by ruling out the cases λ(L)≥8\lambda(L) \ge8, λ(L)=7\lambda(L)=7, and λ(L)=6\lambda(L)=6.

Case 1: λ(L)≥8\lambda(L) \ge8. Consider the set S={(x,y)∈Z2:∣x∣+∣y∣=3}S=\{(x,y)\in\mathbb{Z}^2: |x|+|y|=3\}. The maximum ℓ1\ell_1-distance between any two points in SS is 6. Since λ(L)≥8\lambda(L)\ge8, the natural projection π:Z2→Zn\pi:\mathbb{Z}^2\to\mathbb{Z}_n mapped by (x,y)↦xa+yb(x,y)\mapsto xa+yb (mod nn) maps SS injectively to an independent set of GG. In any well-covered graph, deleting the closed neighborhood of an independent set yields a well-covered graph. However, G∖NG[S]G\setminus N_G[S] contains an isolated connected component induced by the origin (0,0)(0,0) and its four adjacent neighbors Q1={(x,y):∣x∣+∣y∣=1}Q_1=\{(x,y): |x|+|y|=1\}. This component is isomorphic to the star graph K1,4K_{1,4}, which is not well-covered. This contradiction shows that λ(L)≤7\lambda(L)\le7.

Case 2: λ(L)=7\lambda(L)=7. Let Q3={(x,y)∈Z2:∣x∣+∣y∣≤3}Q_3=\{(x,y)\in\mathbb{Z}^2: |x|+|y|\le3\}. Because the maximum distance between points in Q3Q_3 is 6<λ(L)6<\lambda(L), all points of Q3Q_3 represent distinct vertices in GG. Thus,

n≥∣Q3∣=25.n \ge|Q_3| = 25.

Consider the subsets A,B⊂Q3A, B \subset Q_3 defined by

A={(−2,−1),(−1,2),(1,−2),(2,1)},A = \{(-2,-1),(-1,2),(1,-2),(2,1)\},
B={(−2,1),(−1,−2),(1,2),(2,−1)}.B = \{(-2,1),(-1,-2),(1,2),(2,-1)\}.

Every point in Q2={(x,y):∣x∣+∣y∣=2}Q_2 = \{(x,y): |x|+|y|=2\} is adjacent in Z2\mathbb{Z}^2 to at least one point in AA and one point in BB. If AA (or BB) were an independent set in GG, deleting NG[A]N_G[A] would isolate the star graph K1,4K_{1,4} centered at the origin, contradicting the well-coveredness of GG. Thus, neither AA nor BB is independent in GG.

Consequently, there exist distinct pairs p,q∈Ap,q \in A and p′,q′∈Bp',q' \in B such that p−qp-q and p′−q′p'-q' represent edges in GG. That is, for some standard unit vectors e,e′∈{±e1,±e2}e,e' \in\{\pm e_1,\pm e_2\}, the vectors

u=p−q−e∈Landv=p′−q′−e′∈L.u = p-q-e \in L \qquad\text{and} \qquad v = p'-q'-e' \in L.

Up to symmetry, the possible candidates for uu and vv are:

u∈{(2,−5),(3,−4),(4,3),(5,2)},u \in\{(2,-5),(3,-4),(4,3),(5,2)\},
v∈{(2,5),(3,4),(4,−3),(5,−2)}.v \in\{(2,5),(3,4),(4,-3),(5,-2)\}.

Since u,v∈Lu,v \in L and LL has index nn in Z2\mathbb{Z}^2, the determinant of the lattice generated by uu and vv must be a multiple of nn; hence, n∣∣det⁡(u,v)∣n \mid|\det(u,v)|. Computing ∣det⁡(u,v)∣|\det(u,v)| for every possible choice of (u,v)(u,v) yields values strictly less than 25, which contradicts n≥25n \ge25. Thus, λ(L)≠7\lambda(L) \ne7.

Case 3: λ(L)=6\lambda(L)=6. Use the image sets π(A)\pi(A) and π(B)\pi(B), allowing distinct preimages to coincide. The image of {0}∪Q1\{0\}\cup Q_1 is still an induced K1,4K_{1,4}: any unwanted identification or edge would give a nonzero relation of norm at most three. Each point of A∪BA\cup B has distance between two and four from every point of this star, so its image neither meets nor is adjacent to the star, since an extra edge would give a relation of norm at most five. Every neighbor outside the star is represented in Q2Q_2, and each such point is dominated by both image sets. Therefore, if either image set were independent, deleting its closed neighborhood would still isolate the star, a contradiction.

Thus each image set contains an edge. For its preimages p,qp,q, an appropriate unit vector ee gives p−q−e∈Lp-q-e \in L. The pairwise differences within AA or BB have even norm at most six; subtracting a unit vector gives odd norm at most seven. Since λ(L)=6\lambda(L)=6, such a nonzero relation has norm seven. Consequently, the candidate sets for uu and vv are exactly those in Case 2, and n∣∣det⁡(u,v)∣n \mid|\det(u,v)| follows without assuming that all of Q3Q_3 projects injectively.

Now consider the subset T=Q1∪Q2∪(e1+Q2)T=Q_1\cup Q_2\cup(e_1+Q_2), where Qi={(x,y)∈Z2:∣x∣+∣y∣=i}Q_i=\{(x,y)\in\mathbb{Z}^2: |x|+|y|=i\}. The set TT consists of 17 distinct points, and the maximum ℓ1\ell_1-distance between any pair of points in TT is 5. Since λ(L)=6\lambda(L)=6, these points project to 17 distinct vertices in GG, implying n≥17n\ge17.

Checking all possible pairs (u,v)(u,v) with ∣det⁡(u,v)∣≥17|\det(u,v)|\ge17 restricts the admissible values to n∈{20,21,23,24}n\in\{20,21,23,24\}:

  1. If n=20n=20, the only viable pair up to lattice symmetry is u=(5,2)u=(5,2) and v=(5,−2)v=(5,-2). But then u−v=(0,4)∈Lu-v=(0,4)\in L, which gives ∥u−v∥1=4<6\lVert u-v\rVert_1=4<6, contradicting λ(L)=6\lambda(L)=6.

  2. If n=21n=21, the pair u=(5,2)u=(5,2) and v=(2,5)v=(2,5) yields G≅C21(1,8)G\cong C_{21}(1,8).

  3. If n=23n=23, the pair u=(2,−5)u=(2,-5) and v=(3,4)v=(3,4) yields G≅C23(1,5)G\cong C_{23}(1,5).

  4. If n=24n=24, the pair u=(3,−4)u=(3,-4) and v=(3,4)v=(3,4) yields G≅C24(3,4)G\cong C_{24}(3,4).

Direct verification shows that none of these three graphs is well-covered.

Therefore, we conclude that 3≤λ(L)≤53\le\lambda(L)\le5.

Lemma 4.8. Assume that λ(L)=3\lambda(L)=3 and that both G=GLG=G_L and its square G2G^2 are well-covered. Then GG is isomorphic to one of the following 12 graphs:

C5(1,2),C6(1,2),C7(1,2),C8(1,2),C9(1,3),C11(1,2),C_5(1,2),\quad C_6(1,2),\quad C_7(1,2),\quad C_8(1,2),\quad C_9(1,3),\quad C_{11}(1,2),

C12(1,4),C12(3,4),C15(1,5),C15(3,5),C21(1,7),C21(3,7).C_{12}(1,4),\quad C_{12}(3,4),\quad C_{15}(1,5),\quad C_{15}(3,5),\quad C_{21}(1,7),\quad C_{21}(3,7).

Proof. Assume that λ(L)=3\lambda(L)=3. Up to sign changes and interchanging coordinates, any shortest non-zero vector in LL corresponds to a relation type of (2,−1)(2,-1) or (3,0)(3,0).

Case 1: The relation type is (2,−1)(2,-1). In this case, 2a≡b(modn)2a\equiv b\pmod n. Since gcd⁡(n,a)=1\gcd(n,a)=1, the element aa is invertible in Zn\mathbb{Z}_n, which implies G≅Cn(1,2)G\cong C_n(1,2). By Theorem 4.1, n∈{5,6,7,8,11}n\in\{5,6,7,8,11\}.

Case 2: The relation type is (3,0)(3,0). Here, 3a≡0(modn)3a\equiv0\pmod n, so n=3an=3a for some integer aa, and G≅C3a(a,b)G\cong C_{3a}(a,b) with gcd⁡(a,b)=1\gcd(a,b)=1.

  1. If a=2a=2, then G≅C6(1,2)G\cong C_6(1,2), which was already covered in Case 1.

  2. If a=3a=3, then G≅C9(1,3)G\cong C_9(1,3), since C9(2,3)≅C9(1,3)C_9(2,3)\cong C_9(1,3).

Now, assume a≥4a\ge4. We claim that if G2G^2 is well-covered then the cycle CaC_a is well-covered.

The cosets of the order-three subgroup generated by the first generator are triangle fibers. The second generator joins consecutive fibers by perfect matchings. In the quotient these fibers form CaC_a, since gcd⁡(a,b)=1\gcd(a,b)=1; the closing matching may have a twist. A square-independent set has at most one vertex per fiber, and its selected fibers are independent in CaC_a.

If the projected set is not maximal, some omitted fiber has cycle distance at least two from every selected fiber. Only selected fibers at cycle distance exactly two can forbid representatives in it. A path of length two reaching such a fiber must follow matching edges along a shortest base path. There are at most two such directions in total, even when the two directions reach the same antipodal fiber. Thus at most two of its three representatives are forbidden, and the square-independent set can be extended. Conversely, a maximal independent set of CaC_a lifts greedily: at each selected fiber at most two representatives are forbidden by previously chosen fibers at distance two. Every unselected fiber is within one base step of a selected fiber and is therefore dominated in the square. This proves equality of the two maximal-independent-set size spectra, with no global labeling assumption across the twist.

Since CaC_a is well-covered if and only if a∈{3,4,5,7}a\in\{3,4,5,7\}, and a≥4a\ge4, this implies a∈{4,5,7}a\in\{4,5,7\}. Since gcd⁡(a,b)=1\gcd(a,b)=1, the number gcd⁡(3a,b)\gcd(3a,b) is either one or three. Multiplying by a unit modulo 3a3a, and changing the sign of the order-three generator if necessary, reduces the graph to C3a(1,a)C_{3a}(1,a) or C3a(3,a)C_{3a}(3,a), respectively. For a∈{4,5,7}a\in\{4,5,7\} these give the remaining graphs:

C12(1,4),C12(3,4),C15(1,5),C15(3,5),C21(1,7),C21(3,7).C_{12}(1,4),\quad C_{12}(3,4),\quad C_{15}(1,5),\quad C_{15}(3,5),\quad C_{21}(1,7),\quad C_{21}(3,7).

This completes the proof. □\square

Lemma 4.9. Assume that λ(L)=4\lambda(L)=4 and that both GG and its square G2G^2 are well-covered. Then GG is isomorphic to one of the following 5 graphs: C8(1,3)C_8(1,3), C10(1,4)C_{10}(1,4), C11(1,3)C_{11}(1,3), C13(1,3)C_{13}(1,3), C14(1,6)C_{14}(1,6).

Proof. Assume that λ(L)=4\lambda(L)=4. Up to sign changes and interchanging coordinates, any shortest non-zero vector in LL corresponds to a relation type of (2,2)(2,2), (4,0)(4,0), or (3,−1)(3,-1).

Case 1: The relation type is (2,2)(2,2). In this case, we have 2a≡2b(modn)2a\equiv2b\pmod n or 2a≡−2b(modn)2a\equiv-2b\pmod n, which implies n=2(a+b)n=2(a+b). Writing m=a+bm=a+b, the relation set defines G≅Cm[K2‾]G\cong C_m[\overline{K_2}]. By Lemma 2.4, GG is well-covered if and only if CmC_m is well-covered. Since λ(L)=4\lambda(L)=4, we have m>3m>3. A cycle CmC_m with m>3m>3 is well-covered if and only if m∈{4,5,7}m\in\{4,5,7\}. This yields n∈{8,10,14}n\in\{8,10,14\}, giving the candidates C8(1,3)C_8(1,3), C10(1,4)C_{10}(1,4), and C14(1,6)C_{14}(1,6).

Case 2: The relation type is (4,0)(4,0). Here, 4a≡0(modn)4a\equiv0\pmod n, so n=4an=4a for some integer a≥1a\ge1, and G≅C4a(a,b)G\cong C_{4a}(a,b) with gcd⁡(a,b)=1\gcd(a,b)=1. We analyze the small values of aa:

  • For a=1a=1, the lattice length is less than 4.

  • For a=2a=2, G≅C8(1,2)G\cong C_8(1,2), which has lattice length 3.

  • For a=3a=3, the relation-length-four candidates are C12(1,3)C_{12}(1,3) and C12(2,3)C_{12}(2,3) up to isomorphism; both are not well-covered, as witnessed in the finite verification below. The graph C12(3,4)C_{12}(3,4) has relation length three.

For a≥4a \ge4, use coordinates (x,i)↦ax+bi(mod4a)(x,i) \mapsto ax+bi \pmod{4a}, with x∈Z4x \in\mathbb{Z}_4 and 0≤i<a0 \le i < a. Each fiber is a four-cycle, consecutive fibers are joined by matchings, and the closing matching shifts xx by bb. We show that GG is not well-covered. Let c0=0c_0=0, c1=2c_1=2, and let c2,c3,…,ca−1c_2,c_3,\ldots,c_{a-1} alternate between 11 and 33 such that ca−1+b≢0(mod4)c_{a-1}+b \not\equiv0 \pmod{4}. Define the set:

I={(ci,i)∣i=0,1,…,a−1}.I=\{(c_i,i)\mid i=0,1,\ldots,a-1\}.

Then II is independent in GLG_L and dominates GLG_L, meaning it is a maximal independent set of size aa. On the other hand, let Pi={0,2}P_i=\{0,2\} for even ii and Pi={1,3}P_i=\{1,3\} for odd ii, and set:

J={(ci,i)∣ci∈Pi, i=0,1,…,a−2}.J=\{(c_i,i)\mid c_i\in P_i,\ i=0,1,\ldots,a-2\}.

Then JJ is independent and contains 2(a−1)=2a−22(a-1)=2a-2 elements. Hence, any maximal independent set containing JJ has at least 2a−22a-2 elements. Since a≥4a \ge4, we have 2a−2>a2a-2>a, showing that GLG_L admits maximal independent sets of different sizes and therefore is not well-covered.

Case 3: The relation type is (3,−1)(3,-1). Here, 3a≡b(modn)3a\equiv b\pmod n. Since gcd⁡(n,a)=1\gcd(n,a)=1, the element aa is invertible in Zn\mathbb{Z}_n, which implies G≅Cn(1,3)G\cong C_n(1,3).

Let I={v1,v2,…,vt}⊂ZnI=\{v_1,v_2,\ldots,v_t\}\subset\mathbb{Z}_n be an independent set in Cn(1,3)C_n(1,3) arranged in cyclic order, with gap sizes gi=vi+1−vi(modn)g_i=v_{i+1}-v_i\pmod n. Since adjacency in Cn(1,3)C_n(1,3) corresponds to distances 11 and 33, an independent set cannot contain gaps of size 11 or 33.

For II to be maximal, no vertex x∈Zn∖Ix\in\mathbb{Z}_n\setminus I can be added to II:

  1. If a gap gi∈{4}∪{g∈Z:g≥6}g_i\in\{4\}\cup\{g\in\mathbb{Z}:g\ge6\}, the vertex vi+2v_i+2 is at distance 22 from viv_i and distance gi−2∉{1,3}g_i-2\notin\{1,3\} from vi+1v_{i+1}. Thus, vi+2v_i+2 is not adjacent to viv_i, vi+1v_{i+1}, or any other element of II, so I∪{vi+2}I\cup\{v_i+2\} is still an independent set, violating the maximality of II. Hence, all gaps must be 22 or 55.

  1. Conversely, if every gap gi∈{2,5}g_i\in\{2,5\}, then every interior vertex in a gap of size 22 (which is vi+1v_i+1, at distance 11 from viv_i) and every interior vertex in a gap of size 55 (which are vi+1v_i+1, vi+3v_i+3 adjacent to viv_i, and vi+2v_i+2, vi+4v_i+4 adjacent to vi+1v_{i+1}) is already adjacent to II. Thus, no vertex can be added, and any independent set with gaps in {2,5}\{2,5\} is maximal.

Therefore, an independent set II of Cn(1,3)C_n(1,3) is maximal if and only if all of its gaps belong to {2,5}\{2,5\}. As a consequence, the size of a maximal independent set formed by uu gaps of size 22 and vv gaps of size 55 is given by ∣I∣=u+v|I|=u+v, where the parameters satisfy the linear Diophantine equation:

2u+5v=nwith u,v≥0.2u+5v=n \quad\text{with } u,v\ge0.

(1) If nn is even and n≥10n\ge10: There exist at least two distinct non-negative integer solutions:

(u1,v1)=(n2,0)and(u2,v2)=(n−102,2).(u_1,v_1)=\left(\frac{n}{2},0\right) \quad\text{and} \quad(u_2,v_2)=\left(\frac{n-10}{2},2\right).

The corresponding maximal independent set sizes are:

∣I1∣=n2+0=n2and∣I2∣=n−102+2=n2−3.|I_1|=\frac{n}{2}+0=\frac{n}{2} \quad\text{and} \quad|I_2|=\frac{n-10}{2}+2=\frac{n}{2}-3.

Since ∣I1∣≠∣I2∣|I_1|\ne|I_2|, maximal independent sets of different sizes exist, meaning Cn(1,3)C_n(1,3) is not well-covered.

(2) If nn is odd and n≥15n\ge15: Similarly, there exist at least two distinct non-negative integer solutions:

(u1,v1)=(n−52,1)and(u2,v2)=(n−152,3).(u_1,v_1)=\left(\frac{n-5}{2},1\right) \quad\text{and} \quad(u_2,v_2)=\left(\frac{n-15}{2},3\right).

The corresponding maximal independent set sizes are:

∣I1∣=n−52+1=n−32and∣I2∣=n−152+3=n−92.|I_1|=\frac{n-5}{2}+1=\frac{n-3}{2} \quad\text{and} \quad|I_2|=\frac{n-15}{2}+3=\frac{n-9}{2}.

Since ∣I1∣≠∣I2∣|I_1|\ne|I_2|, Cn(1,3)C_n(1,3) is not well-covered.

(3) Checking remaining values of nn: Since λ(L)=4\lambda(L)=4, we have n≥8n \ge8. Having already ruled out all even n≥10n \ge10, we only need to check n=8n=8 and the odd integers below 15:

  • n=8n=8: The only non-negative solution to 2u+5v=82u+5v=8 is (u,v)=(4,0)(u,v)=(4,0), giving a unique size of 4. In this case, the resulting graph is C8(1,3)C_8(1,3), which was already covered in Case 1.

  • n=9n=9: Corresponds to λ(L)=3\lambda(L)=3, which was handled in Lemma 4.8.

  • n=11n=11: The only non-negative solution is (3,1)(3,1), giving a unique size of 4. (Valid)

  • n=13n=13: The only non-negative solution is (4,1)(4,1), giving a unique size of 5. (Valid)

Combining Cases 1, 2, and 3 yields the exact set of 5 graphs stated in the lemma. □

Lemma 4.10. Assume that λ(L)=5\lambda(L)=5 and that both GG and its square G2G^2 are well-covered. Then G≅C13(2,3)G \cong C_{13}(2,3) or G≅C18(2,3)G \cong C_{18}(2,3).

Proof. Assume that λ(L)=5\lambda(L)=5. Then its relation type, after changing signs if necessary, is of the form (4,−1)(4,-1), (3,−2)(3,-2), or (5,0)(5,0).

Case 1: The relation type is (4,−1)(4,-1). First, assume that 4a≡b(modn)4a \equiv b \pmod n. Since gcd⁡(n,a,b)=gcd⁡(n,a)=1\gcd(n,a,b)=\gcd(n,a)=1, aa is invertible in Zn\mathbb{Z}_n, and therefore G≅Cn(1,4)G \cong C_n(1,4). If n≥22n \ge22, the set S={−8,−2,7,9}S=\{-8,-2,7,9\} is independent, and G−NG[S]G-N_G[S] has a component {0,1,4}≅P3\{0,1,4\}\cong P_3, which is not well-covered. Hence, we must have n≤21n \le21. Furthermore, the condition λ(L)=5\lambda(L)=5 implies that n≥14n \ge14. However, one can check that Cn(1,4)C_n(1,4) is not well-covered for any n∈{14,…,21}n \in\{14,\ldots,21\}.

Case 2: The relation type is (3,−2)(3,-2). Next, assume that 3a≡2b(modn)3a \equiv2b \pmod n. Put c=b−ac=b-a in Zn\mathbb{Z}_n. The relation gives 2c=a2c=a and 3c=b3c=b, and connectedness implies gcd⁡(n,c)=1\gcd(n,c)=1. Thus G≅Cn(2,3)G \cong C_n(2,3), and G2=Cn6G^2=C_n^6. Relation length five gives n≥13n \ge13. The cycle-power theorem restricts a well-covered square to 13≤n≤2013 \le n \le20 or n=27n=27. The original graphs for n∈{14,15,16,17,19,20,27}n \in\{14,15,16,17,19,20,27\} have maximal independent sets of different sizes, as certified in the finite verification. This leaves n=13,18n=13,18.

Case 3: The relation type is (5,0)(5,0). Finally, assume that the relation type is (5,0)(5,0). The generator has order five. By multiplying the generators by a unit modulo nn, it can be normalized to n/5n/5: reduction from the units modulo nn to the units modulo five is surjective. Write n=5an=5a after this normalization, so G≅C5a(a,b)G \cong C_{5a}(a,b) with gcd⁡(a,b)=1\gcd(a,b)=1. Here aa is the normalized parameter, and bb need not exceed aa. First, assume that a≥6a \ge6. Let S={(−1,2),(2,1),(1,−2),(−2,−1)}S=\{(-1,2),(2,1),(1,-2),(-2,-1)\}. Use coordinates (x,y)↦ax+by(mod5a)(x,y)\mapsto ax+by\pmod{5a}, with the first coordinate modulo five. The set SS is independent and avoids the closed neighborhood of the origin star. It dominates every vertex at distance two from the origin, namely (0,±2)(0,\pm2), (±1,±1)(\pm1,\pm1), and (±2,0)(\pm2,0). These local assertions are unaffected by the second lattice relation when a≥6a \ge6, since all relevant second-coordinate differences have absolute value at most five. Thus G−NG[S]G-N_G[S] has an isolated K1,4K_{1,4} component, a contradiction. Hence, we must have a≤5a \le5.

On the other hand, the condition λ(L)=5\lambda(L)=5 implies that n≥13n \ge13, meaning a≥3a \ge3. Thus, a∈{3,4,5}a \in\{3,4,5\}. Furthermore, the condition λ(L)=5\lambda(L)=5 restricts the candidate graphs to C15(3,2)C_{15}(3,2), C20(4,1)C_{20}(4,1), C20(3,4)C_{20}(3,4), C25(5,1)C_{25}(5,1), and C25(5,2)C_{25}(5,2). Checking each of these graphs, one can verify that none of them are well-covered. □

Completion of Theorem 4.6. The implication (1)⇒\Rightarrow(2) is immediate. The relation-length bound and Lemmas 4.8, 4.9, and 4.10 give (2)⇒\Rightarrow(3). For (3)⇒\Rightarrow(1), Brown and Hoshino [3], Theorem 4.1 and the higher-power observation after Theorem 4.1 cover the graphs Cn(1,2)C_n(1,2). Table 1 gives the exact maximal-independent-set size and count in each power through the diameter for every remaining listed graph. All later powers are complete.

GraphUniform sizesCounts in the same power order
C9(1,3)C_{9}(1,3)3, 19, 9
C12(1,4)C_{12}(1,4)4, 2, 115, 6, 12
C12(3,4)C_{12}(3,4)4, 2, 118, 12, 12
C15(1,5)C_{15}(1,5)5, 2, 133, 30, 15
C15(3,5)C_{15}(3,5)5, 2, 130, 30, 15
C21(1,7)C_{21}(1,7)7, 3, 2, 1129, 84, 42, 21
C21(3,7)C_{21}(3,7)7, 3, 2, 1126, 84, 42, 21
C8(1,3)C_{8}(1,3)4, 12, 8
C10(1,4)C_{10}(1,4)4, 15, 10
C11(1,3)C_{11}(1,3)4, 111, 11
C13(1,3)C_{13}(1,3)5, 2, 113, 13, 13
C14(1,6)C_{14}(1,6)6, 2, 17, 28, 14
C13(2,3)C_{13}(2,3)4, 139, 13
C18(2,3)C_{18}(2,3)6, 2, 187, 45, 18

Table 1. Quartic graphs other than cycle squares: uniform maximal-independent-set sizes and exact counts, in power order through the diameter.

For clarity, the finite checks used above enumerate maximal independent sets using exact adjacency and domination. In a distance power, a set is independent precisely when all its distinct vertices are farther apart than the exponent, and it is maximal precisely when every vertex is within that exponent of the set. The supplementary sources contain the enumerator, complete counts for the retained graphs, and two independent dominating sets of different sizes for every excluded finite case. An independent enumeration reproduced the counts for all nineteen graphs in the classification. □

Classifications for structured Cartesian products

In this section, we consider the well-covered powers property for Cartesian products of several factors of complete graphs and cycles. In particular, we show that two non-complete graphs can have Cartesian products with the WCP property.

For a graph GG, let M(G)\mathcal{M}(G) denote the set of cardinalities of its maximal independent sets.

Proposition 5.1. For n≥3n \ge3 and t≥2t \ge2, the graph Cn□KtC_n \square K_t has WCP exactly in the following cases:

t=2:n∈{3,5};t≥3:n∈{3,4,5,7}.t = 2 : n \in\{3,5\}; \qquad t \ge3 : n \in\{3,4,5,7\}.

Consequently, Cm□CnC_m \square C_n has WCP precisely when one cycle is C3C_3 and the other has length in {3,4,5,7}\{3,4,5,7\}.

Proof. We divide the proof into two cases based on the value of tt.

Case 1: t≥3t \ge3. For every d≥1d \ge1, projection and lifting give

M((Cn□Kt)d)=M(Cnd−1),\mathcal{M}((C_n \square K_t)^d) = \mathcal{M}(C_n^{d-1}),

with Cn0C_n^0 edgeless. Indeed, projection is injective and independent in Cnd−1C_n^{d-1}. If it is not maximal, an omitted cycle vertex is at distance at least dd from the projection. Only selected vertices at distance exactly dd forbid labels above it, and there are at most two, so t≥3t \ge3 permits an extension. Conversely, a maximal independent set of Cnd−1C_n^{d-1} can be lifted by greedily assigning different labels to its pairs at cycle distance exactly dd: that conflict graph has maximum degree at most two. Every omitted fiber is then dominated within distance dd. For d=1d = 1 the conflict graph is the cycle itself and the same three-label argument applies. Thus the spectrum identity holds for every nn, without any restriction involving α(Cn)\alpha(C_n). By Theorem 4.1, CnC_n has WCP exactly when n∈{3,4,5,7}n \in\{3,4,5,7\}.

Case 2: t=2t = 2. For n≥5n \ge5, the base cycle has girth at least five. Theorem 3.1 of Hartnell, Rall, and Wash [6] implies that Cn□K2C_n \square K_2 can be well-covered only when n=5n = 5. The graph C4□K2C_4 \square K_2 has maximal independent sets of sizes two and four. For n=3n = 3, the product is a rook graph. For n=5n = 5, exhaustive subset enumeration gives sizes 4, 2, 1 with counts 10, 10, 10 in powers one through three; the supplementary sources reproduce this calculation from the Cartesian product definition. Thus both n=3,5n=3,5 have WCP.

Finally, noting that C3≅K3C_3 \cong K_3, the product Cm□CnC_m \square C_n with one factor being C3C_3 corresponds directly to Cn□K3C_n \square K_3, yielding the stated classification for cycle-cycle Cartesian products. When m,n>3m,n>3, the product is not even well-covered, by the cycle-product theorem of Topp and Volkmann [9], as recalled in [6]. □

Proposition 5.2. Every rook graph Km□KnK_m \square K_n has WCP, and α(Km□Kn)=min⁡(m,n)\alpha(K_m \square K_n)=\min(m,n).

Proof. Independent sets in Km□KnK_m \square K_n correspond to matchings in the complete bipartite incidence graph on the two coordinate sets. Every maximal matching saturates one side of the bipartition and has size min⁡(m,n)\min(m,n). Consequently, its square and higher powers are complete. □

Proposition 5.3. For $2 \le a \le b \le c$, the graph F=Ka□Kb□KcF=K_a \square K_b \square K_c has WCP if and only if c≥a+b−1c \ge a+b-1.

Proof. Let F=Ka□Kb□KcF=K_a \square K_b \square K_c. We first prove that α(F)=ab\alpha(F)=ab.

Consider the set of vertices

I={(i,j,i+j(modc))∣i∈{0,…,a−1},j∈{0,…,b−1}}.I=\{(i,j,i+j \pmod c)\mid i\in\{0,\ldots,a-1\},j\in\{0,\ldots,b-1\}\}.

To see that II is independent, suppose two distinct vertices (i1,j1,k1)(i_1,j_1,k_1) and (i2,j2,k2)(i_2,j_2,k_2) in II are adjacent in FF. By the definition of the Cartesian product of complete graphs, adjacent vertices must differ in exactly one coordinate. However, if i1=i2i_1=i_2, then j1≠j2j_1\ne j_2, which forces k1≠k2(modc)k_1\ne k_2\pmod c, meaning they differ in two coordinates (jj and kk), a contradiction. Similarly, if j1=j2j_1=j_2, they differ in ii and kk. If i1≠i2i_1\ne i_2 and j1≠j2j_1\ne j_2, they differ in at least two coordinates. Thus, no two vertices in II are adjacent, so II is independent. Furthermore, since each fiber {i}×{j}×Kc\{i\}\times\{j\}\times K_c is a complete graph of size cc, any independent set can contain at most one vertex from each fiber, implying α(F)≤ab\alpha(F)\le ab. Since ∣I∣=ab|I|=ab, we conclude that α(F)=ab\alpha(F)=ab.

Next, we establish the necessity of the condition c≥a+b−1c\ge a+b-1. Suppose for contradiction that c≤a+b−2c\le a+b-2. We construct an independent set TT that prevents certain vertices from being included in any maximal independent set containing TT. Specifically, let

T={(0,j,j−1)∣j=1,…,b−1}∪{(i,0,c−a+i)∣i=1,…,a−1}.T=\{(0,j,j-1)\mid j=1,\ldots,b-1\}\cup\{(i,0,c-a+i)\mid i=1,\ldots,a-1\}.

One can verify that TT is an independent set. However, every vertex (0,0,j)(0,0,j) is dominated by TT for every j=0,…,c−1j=0,\ldots,c-1. Consequently, any maximal independent set containing TT cannot contain any vertex from the fiber over (0,0)(0,0), namely {(0,0,k)∣k∈Kc}\{(0,0,k)\mid k\in K_c\}. This restricts the maximum possible size of such a maximal independent set to be strictly less than abab, meaning FF is not well-covered, which contradicts the WCP property. Therefore, we must have c≥a+b−1c\ge a+b-1.

Conversely, viewing FF as (Ka□Kb)□Kc(K_a \square K_b)\square K_c, we note that the maximum degree of the base graph is Δ(Ka□Kb)=a+b−2\Delta(K_a \square K_b)=a+b-2. If c≥a+b−1=Δ(Ka□Kb)+1c\ge a+b-1=\Delta(K_a \square K_b)+1, then by Theorem 2.11, FF inherits the WCP property from Ka□KbK_a \square K_b. The conclusion follows. □

We end the paper with a consideration of the general Cartesian product of tt factors, t≥3t\ge3. Note that the case t=3t=3 was already considered earlier. The argument for well-coveredness can be extended to an arbitrary number of factors as follows.

Lemma 5.4. Let t≥3t\ge3 and 2≤a1≤a2≤⋯≤at2\le a_1\le a_2\le\cdots\le a_t be a sequence of positive integers. Set F=Ka1□Ka2□⋯□KatF=K_{a_1}\square K_{a_2}\square\cdots\square K_{a_t}. Then FF is well-covered if and only if at≥1+∑i=1t−1(ai−1)a_t\ge1+\sum_{i=1}^{t-1}(a_i-1).

Proof. The proof extends the argument for 3 factors. First, we establish that α(F)=a1⋯at−1\alpha(F)=a_1\cdots a_{t-1}. Indeed, the set

I={(i1,…,it−1,∑j=1t−1ij(modat))∣0≤ij≤aj−1 for each j}I=\left\{(i_1,\ldots,i_{t-1},\sum_{j=1}^{t-1}i_j\pmod{a_t})\mid0\le i_j\le a_j-1\text{ for each }j\right\}

is an independent set of size a1⋯at−1a_1 \cdots a_{t-1}.

For sufficiency, view FF as B□KatB \square K_{a_t}, where B=Ka1□⋯□Kat−1B = K_{a_1} \square\cdots\square K_{a_{t-1}} has degree Δ(B)=∑i<t(ai−1)\Delta(B) = \sum_{i<t}(a_i - 1). In a maximal independent set, each fiber contributes at most one vertex. If the fiber above u∈V(B)u \in V(B) is missed, the at most Δ(B)\Delta(B) neighboring fibers forbid at most that many labels, leaving an available label because at>Δ(B)a_t > \Delta(B). Thus every fiber is met, and all maximal independent sets have size a1⋯at−1a_1 \cdots a_{t-1}. This complete-factor sufficiency for arbitrary bases is also observed in [6].

Conversely, if at≤∑i=1t−1(ai−1)a_t \le\sum_{i=1}^{t-1}(a_i - 1), we can choose subsets of labels L1,…,Lt−1⊆{0,…,at−1}L_1,\ldots,L_{t-1} \subseteq\{0,\ldots,a_t - 1\} such that ∣Li∣=ai−1|L_i| = a_i - 1 for each ii, and their union covers all ata_t labels, meaning ∣⋃i=1t−1Li∣=at\left|\bigcup_{i=1}^{t-1} L_i\right| = a_t.

For each i∈{1,…,t−1}i \in\{1,\ldots,t-1\}, let fi:{1,…,ai−1}→Lif_i:\{1,\ldots,a_i - 1\} \to L_i be a bijection. Consider the independent set

T=⋃i=1t−1{(0,…,0,xi⏟i-th coordinate,0,…,0,fi(xi))∣xi∈{1,…,ai−1}}.T = \bigcup_{i=1}^{t-1} \left\{(0,\ldots,0,\underbrace{x_i}_{i\text{-th coordinate}},0,\ldots,0,f_i(x_i)) \mid x_i \in\{1,\ldots,a_i - 1\}\right\}.

where for each element in the ii-th union, xix_i is placed specifically in the ii-th coordinate (among the first t−1t-1 coordinates), all other coordinates among the first t−1t-1 are 00, and the last (tt-th) coordinate is given by fi(xi)f_i(x_i).

One can verify that TT is an independent set. Moreover, because ⋃i=1t−1Li={0,…,at−1}\bigcup_{i=1}^{t-1} L_i = \{0,\ldots,a_t - 1\}, for every possible last-coordinate label y∈{0,…,at−1}y \in\{0,\ldots,a_t - 1\}, there exists some index ii and some xi∈{1,…,ai−1}x_i \in\{1,\ldots,a_i - 1\} such that the vertex (0,…,0,xi,0,…,0,y)∈T(0,\ldots,0,x_i,0,\ldots,0,y) \in T. This vertex differs from the origin-fiber vertex (0,…,0,y)(0,\ldots,0,y) in exactly the ii-th coordinate, meaning every vertex in the fiber {(0,…,0,y)∣y∈{0,…,at−1}}\{(0,\ldots,0,y) \mid y \in\{0,\ldots,a_t - 1\}\} is adjacent to (and thus dominated by) TT.

Consequently, any maximal independent set containing TT cannot include any vertex from this fiber. This restricts the maximum possible size of such a maximal independent set to at most a1⋯at−1−1a_1 \cdots a_{t-1} - 1, which is strictly less than α(F)\alpha(F). Therefore, FF is not well-covered, completing the proof. □

For four factors, we can classify the WCP property, providing plenty of examples of non-complete graphs whose Cartesian products have the WCPproperty, as Ka□Kb□Kc□Kd≅(Ka□Kb)□(Kc□Kd)K_a \square K_b \square K_c \square K_d \cong(K_a \square K_b) \square(K_c \square K_d).

Theorem 5.5. Let $2 \le a \le b \le c \le d$ be positive integers, and let F=Ka□Kb□Kc□KdF = K_a \square K_b \square K_c \square K_d. Then FF has WCP if and only if d≥a+b+c−2d \ge a + b + c - 2 and c≥a+b−1c \ge a + b - 1.

Proof. Put B=Ka□Kb□KcB = K_a \square K_b \square K_c. The preceding lemma gives the necessary first-power inequality d≥a+b+c−2d \ge a + b + c - 2. Assume it holds. We show that for every r≥2r \ge2,

M((B□Kd)r)=M(Br−1).\mathcal{M}\left((B \square K_d)^r\right) = \mathcal{M}\left(B^{r-1}\right).

If SS is independent in Br−1B^{r-1}, its intersection with a distance-rr sphere about any vertex has size at most 2a+b−32a+b-3 for r=2r=2, at most a−1a-1 for r=3r=3, and zero for r>3r>3. For r=2r=2, split the sphere into its three two-coordinate supports. On each support, distinct selected vertices differ in both coordinates, so the three contributions are at most a−1a-1, a−1a-1, b−1b-1. For r=3r=3, selected vertices differ in all three coordinates, giving at most a−1a-1. Both bounds are strictly less than dd.

Projection of a maximal independent set of (B□Kd)r(B \square K_d)^r is independent in Br−1B^{r-1}. If it were not maximal, only projected vertices at distance exactly rr from an addable base vertex could forbid labels, one label each. The sphere bounds leave an available label, a contradiction. Conversely, greedily label any maximal independent set of Br−1B^{r-1} so that pairs at distance exactly rr have distinct labels. The same bounds make this possible, and every omitted fiber is dominated within distance rr. This gives a maximal lift and proves the spectrum identity. Therefore FF has WCP exactly when d≥a+b+c−2d \ge a+b+c-2 and BB has WCP. Proposition 5.3 completes the proof. □

It is natural to extend this behavior to an arbitrary number of factors:

Conjecture 5.6. Let t≥3t \ge3 and 2≤a1≤a2≤⋯≤at2 \le a_1 \le a_2 \le\cdots\le a_t be a sequence of positive integers, and let F=Ka1□Ka2□⋯□KatF = K_{a_1} \square K_{a_2} \square\cdots\square K_{a_t}. Then FF has wcpif and only if aj≥1+∑i=1j−1(ai−1)a_j \ge1 + \sum_{i=1}^{j-1}(a_i - 1) for all j≥3j \ge3.

The sufficient implication for arbitrarily many factors

The sufficient implication of the preceding conjecture holds for every number of factors. The additional estimate concerns independent subsets of distance spheres, rather than the cardinality of a whole sphere.

Theorem 5.7. Let t≥2t \ge2 and 2≤a1≤⋯≤at2 \le a_1 \le\cdots\le a_t. If

aj≥1+∑i<j(ai−1)(3≤j≤t),(3)a_j \ge1 + \sum_{i<j}(a_i - 1) \qquad(3 \le j \le t), \tag*{(3)}

then F=Ka1□⋯□KatF = K_{a_1} \square\cdots\square K_{a_t} has wcp. For 1≤d≤t1 \le d \le t, every maximal independent set of FdF^d has size ∏i=1t−dai\prod_{i=1}^{t-d} a_i, with the empty product equal to one.

Set bi=ai−1b_i = a_i - 1 and Δk=∑i=1kbi\Delta_k = \sum_{i=1}^{k} b_i. Since a2≥a1a_2 \ge a_1, condition (3) implies bj≥Δj−1b_j \ge\Delta_{j-1} for every j≥2j \ge2.

Lemma 5.8. Let B=Ka1□⋯□KakB = K_{a_1} \square\cdots\square K_{a_k} satisfy these inequalities. For d≥2d \ge2, define

Ck(d)=∑i=1k(k−id−1)bi,C_k(d) = \sum_{i=1}^{k} \binom{k-i}{d-1} b_i,

where (nr)=0\binom{n}{r} = 0 if r<0r < 0 or r>nr > n. Then Ck(d)<ΔkC_k(d) < \Delta_k. If SS is independent in Bd−1B^{d-1} and u∈V(B)u \in V(B), at most Ck(d)C_k(d) vertices of SS are at distance exactly dd from uu.

Proof. For the numerical bound, also set Ck(1)=ΔkC_k(1) = \Delta_k. When k=1k = 1, all C1(d)C_1(d) with d≥2d \ge2 vanish. Pascal’s identity gives

Ck(d)=Ck−1(d)+Ck−1(d−1)(k≥2, d≥2).C_k(d) = C_{k-1}(d) + C_{k-1}(d - 1) \qquad(k \ge2,\ d \ge2).

Induction shows that the right side is strictly less than 2Δk−12\Delta_{k-1}: when d=2d = 2 the second summand is Δk−1\Delta_{k-1} and the first is strictly smaller, and when d≥3d \ge3 both are strictly smaller. Since Δk≥2Δk−1\Delta_k \ge2\Delta_{k-1}, the claimed inequality follows.

For the sphere bound, partition its vertices by the support DD of coordinates in which they differ from uu. Here ∣D∣=d|D| = d. Two selected vertices with the same support have distance at least dd, and can differ in at most those dd coordinates. Thus their values are distinct in every coordinate of DD. There are at most min⁡i∈Dbi\min_{i \in D} b_i such vertices. The alphabet sizes are ordered, so summing over supports according to their least index gives

∣S∩{v:dist⁡B(u,v)=d}∣≤∑∣D∣=dmin⁡i∈Dbi=∑i=1k(k−id−1)bi=Ck(d).\left|S \cap\{v : \operatorname{dist}_B(u,v) = d\}\right| \le\sum_{\substack{|D|=d}} \min_{i \in D} b_i = \sum_{i=1}^{k} \binom{k-i}{d-1} b_i = C_k(d).

If d>kd > k, both the sphere and this sum are empty.

:::

Lemma 5.9. For the base BB in Lemma 5.8, let q≥Δk+1q \ge\Delta_k + 1 and X=B□KqX = B \square K_q. Every maximal independent set of XX has size ∣V(B)∣|V(B)|, and

M(Xd)=M(Bd−1)(d≥2).\mathcal{M}(X^d) = \mathcal{M}(B^{d-1}) \qquad(d \ge2).

Proof. Each fiber over a vertex of BB is a clique. An independent set meets each fiber at most once. If a maximal independent set of XX missed the fiber over uu, the Δk\Delta_k neighboring fibers would forbid at most Δk\Delta_k of its qq labels. An available label would extend the set. This proves the first assertion.

For d≥2d \ge2, let II be maximal independent in XdX^d and let SS be its projection to BB. The formula

dist⁡X((u,c),(v,e))=dist⁡B(u,v)+1c≠e\operatorname{dist}_X((u,c),(v,e)) = \operatorname{dist}_B(u,v) + 1_{c \ne e}

shows that SS is independent in Bd−1B^{d-1} and ∣S∣=∣I∣|S| = |I|. If SS were not maximal, some u∉Su \notin S would have distance at least dd from every selected base vertex. A selected vertex can then forbid a label above

uu only when its base distance is exactly dd, and it forbids just its own label. Lemma 5.8 bounds the number of forbidden labels by Ck(d)<qC_k(d)<q. A new vertex above uu extends II, a contradiction. Conversely, take a maximal independent set SS of Bd−1B_{d-1}. Label its vertices greedily, requiring distinct labels for each pair at base distance exactly dd. For each vertex there are at most Ck(d)<qC_k(d)<q such neighbors, so a label is always available. Its lift is independent in XdX^d. Every base vertex outside SS is within distance d−1d-1 of SS, so every vertex above it is within distance dd of the lift. Selected fibers are dominated internally. Hence the lift is maximal. Projection and lifting preserve size, which proves the identity. □

Proof of Theorem 5.7. A complete graph has WCP. Append the factors in increasing order and apply Lemma 5.9; for the second factor, a2≥a1=Δ1+1a_2 \ge a_1 = \Delta_1+1, and every later step is licensed by (3). In each positive power the lemma reduces the exponent and the number of factors by one, until power one is reached, or until the graph is complete. Its first-power size is the product of the preceding alphabet sizes, giving the asserted formula. All powers at least tt are complete because FF has diameter tt. □

Partial converses and explicit independent dominating sets

For 2≤a1≤⋯≤am2 \le a_1 \le\cdots\le a_m, write

Hm=Ka1□⋯□Kam,bi=ai−1,Δm=∑i<mbi.H_m=K_{a_1}\Box\cdots\Box K_{a_m},\qquad b_i=a_i-1,\qquad\Delta_m=\sum_{i<m}b_i.

Distances in HmH_m are Hamming distances, denoted by hh. An independent set in HmdH_m^d is maximal exactly when every vertex of HmH_m lies within distance dd of it.

Lemma 5.10. Let CC be a maximal independent set of HmdH_m^d, where d≥1d\ge1. Join two members of CC when their Hamming distance is exactly d+1d+1. A proper coloring of this graph with qq colors gives a maximal independent set of (Hm□Kq)d+1(H_m\Box K_q)^{d+1} of size ∣C∣|C|. Such a coloring exists whenever

q>∑i=1m(m−id)bi.(4)q>\sum_{i=1}^{m}\binom{m-i}{d}b_i. \tag*{(4)}

Proof. Append each word’s color as its last coordinate. Pairs at base distance d+1d+1 then have extended distance d+2d+2, while other pairs already have base distance at least d+2d+2. Every base vertex lies within distance dd of CC, so every extended vertex lies within distance d+1d+1 of the lift. This proves independence and domination.

For a fixed member of CC, partition its neighbors in the coloring graph by their (d+1)(d+1)-element difference supports. Within one support, any two such words must differ in every supported coordinate, since CC has minimum distance at least d+1d+1. There are at most min⁡i∈Dbi\min_{i\in D} b_i words on support DD. Summing according to the smallest index gives the degree bound in (4). Greedy coloring proves the assertion. This support bound does not require the recursive inequalities on the alphabets. □

Proposition 5.11. Suppose 3≤j≤t3\le j\le t and aj≤Δj−1a_j\le\Delta_{j-1}. If

aj+s>∑i=1j−1(j+s−1−is)bi(1≤s≤t−j),(5)a_{j+s}>\sum_{i=1}^{j-1}\binom{j+s-1-i}{s}b_i\qquad(1\le s\le t-j), \tag*{(5)}

then Htt−j+1H_t^{t-j+1} is not well-covered.

Proof. Set P=∏i<jaiP=\prod_{i<j}a_i. The set

L={(x1,…,xj−1,∑i<jxi mod aj):0≤xi<ai}L=\left\{(x_1,\ldots,x_{j-1},\sum_{i<j}x_i\mathbin{\bmod}a_j):0\le x_i<a_i\right\}

is independent in HjH_j and meets every last-coordinate fiber, so it is maximal and has size PP. The alphabet ordering ensures that a change in exactly one of the first j−1j-1 coordinates changes its last label. Choose aja_j distinct coordinate neighbors u0,…,uaj−1u_0,\ldots,u_{a_j-1} of zero in Hj−1H_{j-1}; this is possible because its degree is Δj−1\Delta_{j-1}. The set E={(uλ,λ):0≤λ<aj}E=\{(u_\lambda,\lambda):0\leq\lambda<a_j\} is independent and dominates the entire fiber above zero while avoiding it. Extend EE to a maximal independent set SS in HjH_j. That fiber remains empty, and every other last-coordinate fiber contributes at most one vertex, so ∣S∣≤P−1|S|\leq P-1.

Lift both LL and SS one coordinate at a time with Lemma 5.10. At the ssth lift the base has j+s−1j+s-1 coordinates and the current power is ss. The lemma’s sum has no contribution from indices i≥ji\geq j, because then j+s−1−i<sj+s-1-i<s. Thus (5) licenses every lift. Their cardinalities remain different. □

Corollary 5.12. If t≥3t\geq3, a3≤a1+a2−2a_3\leq a_1+a_2-2, and aℓ≥Δℓ−1+1a_\ell\geq\Delta_{\ell-1}+1 for every 4≤ℓ≤t4\leq\ell\leq t, then Htt−2H_t^{t-2} is not well-covered.

Proof. For j=3j=3, the sum in (5) equals (s+1)b1+b2(s+1)b_1+b_2. Since b3≥b1b_3\geq b_1 and each subsequent inequality doubles the partial degree sum,

Δs+2≥2s−1Δ3≥2s−1(2b1+b2)≥(s+1)b1+b2.\Delta_{s+2}\geq2^{s-1}\Delta_3\geq2^{s-1}(2b_1+b_2)\geq(s+1)b_1+b_2.

The last inequality uses 2s≥s+12^s\geq s+1. Now as+3≥Δs+2+1a_{s+3}\geq\Delta_{s+2}+1, as required by Proposition 5.11. □

There is also a uniform obstruction when all but the last alphabet are binary. The case of three binary factors follows already from Theorem 5.5; the following construction treats any number of them.

Theorem 5.13. Let Qm=□i=1mK2Q_m=\square_{i=1}^{m}K_2. For every m≥3m\geq3 and q≥2q\geq2, the graph Qm□KqQ_m\square K_q does not have wcp. If q≥m+1q\geq m+1, its square has maximal independent sets of sizes

2m−2and2m−1−rmin⁡(q,2r),r=⌈log⁡2m⌉,(6)2^{m-2}\qquad\text{and}\qquad2^{m-1-r}\min(q,2^r),\qquad r=\lceil\log_2m\rceil, \tag*{(6)}

with the second size strictly larger.

Proof. If 2≤q≤m2\leq q\leq m, reorder the factors and apply Lemma 5.4: the largest alphabet qq is at most the sum mm of the other alphabet sizes minus one each. Thus the first power is not well-covered. Assume henceforth that q≥m+1q\geq m+1.

Index binary coordinates by 0,…,m−10,\ldots,m-1, and use ⊕\oplus for bitwise exclusive OR, that is, addition of the corresponding binary vectors. For x∈{0,1}mx\in\{0,1\}^m, define

η(x)=⨁i:xi=1(1+(i mod 3)),τ(x)=⨁i:xi=1⌊i/3⌋.\eta(x)=\bigoplus_{i:x_i=1}(1+(i\bmod3)),\qquad\tau(x)=\bigoplus_{i:x_i=1}\lfloor i/3\rfloor.

Take

C0={(x,τ(x)):η(x)=0}.C_0=\{(x,\tau(x)):\eta(x)=0\}.

The three values 1,2,31,2,3 are all the nonzero vectors in F22\mathbb{F}_2^2. Hence η\eta has rank two, ∣C0∣=2m−2|C_0|=2^{m-2}, and its kernel has covering radius one: any nonzero syndrome can be canceled by changing a single coordinate. Two kernel words at distance two change coordinates with the same residue modulo three. Their tags ⌊i/3⌋\lfloor i/3\rfloor are different, so their appended labels differ. Thus C0C_0 is independent in the square. Its covering radius after appending the label is at most two, proving maximality. The labels are less than the smallest power of two at least ⌈m/3⌉\lceil m/3\rceil, which is at most 2⌈m/3⌉≤m+1≤q2^{\lceil m/3\rceil}\leq m+1\leq q.

For a larger set, put M=2rM=2^r, k=min⁡(q,M)k=\min(q,M), and

σ(x)=⨁i:xi=1i,C1={(x,σ(x)):wt⁡(x) is even, σ(x)<k}.\sigma(x)=\bigoplus_{i:x_i=1}i,\qquad C_1=\{(x,\sigma(x)):\operatorname{wt}(x)\text{ is even},\ \sigma(x)<k\}.

Here wt⁡(x)\operatorname{wt}(x) is the number of nonzero coordinates. View A={0,…,m−1}A=\{0,\ldots,m-1\} as a subset of F2r\mathbb{F}_2^r. Since m>M/2m>M/2, A+A=F2rA+A=\mathbb{F}_2^r: the sets AA and A+δA+\delta intersect for every δ\delta. Every nonzero δ\delta is therefore the sum of two distinct coordinate tags. The restriction of σ\sigma to the even-parity space is onto, and each syndrome class has 2m−1−r2^{m-1-r} words. Every even word is within distance zero or two of every syndrome class. Two words in the same class cannot differ in two coordinates, since the tags are distinct; their distance is at least four. Words from different classes have even base distance at least two and distinct last labels. Thus C1C_1 is independent in the square and has the second cardinality in (6).

If q≤Mq \le M, a vertex with even base word is dominated within distance two by the class corresponding to its last label. An odd base word has mm even neighbors with distinct syndromes; since M−q<mM-q<m, at least one belongs to a selected class. Its distance from the extended vertex is at most two. If q≥Mq \ge M, every even base word is selected, so the even-parity space’s covering radius one gives domination for every last label, including unused labels. Therefore C1C_1 is maximal. Finally k>M/2k>M/2, so ∣C1∣/∣C0∣=2k/M>1|C_1|/|C_0|=2k/M>1. □

Exact experiments. For products with five to ten factors, the proposed equivalence holds for all 601 nondecreasing tuples with ∏iai≤1024\prod_i a_i \le1024. Including the already proved three- and four-factor cases, the full data set comprises 3929 tuples. Theorem 5.7 classifies the 2585 tuples satisfying the recursive inequalities. Among the remaining 1344, applying reductions in this order, the final-inequality obstruction handles 721, Corollary 5.12 handles 375, Proposition 5.11 handles another 199, and Theorem 5.13 handles 17. Five more follow by lifting its two sets with distinct labels for every codeword. For each of the other 27, the supplementary certificates give two independent dominating sets of different sizes in the square; a separate checker verifies every pair distance and domination of every vertex. This combines theorem applications with exact witnesses, rather than enumeration of every maximal independent set. The unrestricted converse remains open, including mixed-alphabet products with five factors.

Use of AI tools

Haobo Ma and Wenlin Zhang used AI tools for search, double-checking and proofreading.

ChronoAI Pte Ltd, Singapore; The Omega Institute Email address: [email protected]

Institute of Mathematics, VAST, 18 Hoang Quoc Viet, Hanoi, Vietnam Email address: [email protected]

National University of Singapore, Singapore; The Omega Institute Email address: [email protected]

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